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4 Commits

Author SHA1 Message Date
srikanthccv
73645dc3d1 feat(promql): transpile allowlisted query shapes to ClickHouse grid statements
An allowlist compiler (classify/rewrite) evaluates proven PromQL shapes
entirely inside ClickHouse on the timeSeries*ToGrid aggregate functions
(CH >= 25.6): one row per output series comes back instead of every raw
sample. Everything not provably equivalent falls back to the engine over
the native querier; transpilable subtrees under non-transpilable nodes run
hybrid (materialized as synthetic series, engine on top). TryExecuteRange
slots into the serve/shadow paths, which until now ran engine-only.

Window-sliver filtering folded in: when the window is narrower than the
step, a lattice predicate admits only the samples any grid point can see -
measured 74s/28GiB -> 16s/4.3GiB on a 36k-series 1w rate, and a
2.67B-sample 1w case that died at 150GiB completes in 19s/17GiB. Over
slivered rows the last-style gates lift and disjoint over_time forms drop
the divisibility gate.

The classification golden freezes the routing decision (full/hybrid/
fallback + reason) for every conformance-corpus expression: silently
falling back costs the pushdown, silently transpiling an unproven shape
risks wrong numbers - both now surface in review as a golden diff.

The dual-leg conformance suite already earned its keep on its first
transpiled run:

- It caught the classifier reading a duration expression's offset
  (x offset step()) as zero - offset expressions parse WITHOUT the
  experimental-parser flag, so they reach production. Such selectors are
  now refused and the engine evaluates them exactly.
- It caught name-drop assembly treating temporally-disjoint same-labelset
  twins as separate series (-{job="api"} spanning http_requests and
  http_errors 400'd; hybrid -metric_a or -metric_b returned duplicate {}
  series). Both paths now merge by labelset slot-wise, raising the
  engine's duplicate error only on a same-timestamp conflict - the
  engine's actual rule.
- The 12 remaining divergences are one class, recorded with causes in
  known_divergences_v2.json (the swap scorecard): the engine sums with
  Kahan compensation and an overflow-free incremental mean, ClickHouse's
  sum/avg/arraySum are naive - visible only at 1e100-class cancellation
  and near-max-float overflow.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-29 18:28:43 +05:30
srikanthccv
e524de6755 test(promql): replay the conformance corpus on both providers
Every corpus case now runs twice — default provider, and pinned to
clickhousev2 via the flag-gated X-SigNoz-PromQL-Provider header — each leg
asserted against the same frozen expectations, each leg with its own
known-divergences ledger enforced in both directions. The new
known_divergences_v2.json is the rollout scorecard: the provider swap is
measured by burning it to empty.

The legs are never asserted against each other: both can sit within one
rounding quantum of the expected value yet differ by up to two quanta at a
rounding boundary, so a leg-vs-leg check would reintroduce the boundary
noise the tolerance absorbs. Anchoring both to the same oracle over the
same ingested bytes already localizes any disagreement to a provider.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-29 18:25:28 +05:30
srikanthccv
6b45a1946c feat(querier): wire clickhouseprometheusv2 for shadow comparison and pinned serving
Stand up the v2 provider next to the default one and give the querier two
flag-gated ways to exercise it, neither affecting default serving:

- shadow: with use_prometheus_clickhouse_v2 on, every PromQL query re-runs
  on v2 after the response is sent; result diffs are logged. Bounded by a
  small per-process admission cap (skip, not queue, at the cap).
- pin: the X-SigNoz-PromQL-Provider header serves the response from v2
  directly, for side-by-side comparison by integration tests and support.
  Pinned requests bypass the cache in both directions.

Typed storage errors (series/sample budgets) survive the engine's wrapping
and surface as 4xx instead of internal 500s. PromQL results now carry
ClickHouse scan stats.

prometheus::provider: clickhousev2 also makes v2 the serving provider
outright (no shadow in that mode - nothing to compare against).

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-29 18:25:28 +05:30
srikanthccv
0b44fd6cbd feat(prometheus): add clickhouseprometheusv2 native read path
Second-generation ClickHouse-backed Prometheus provider: the stock engine
evaluates over a native storage.Querier instead of the v1 remote-read
adapter. Per-selector fetch windows, last-sample-per-step reduction for
subquery-free instant selectors (gated on prometheus.QueryTraits),
identical-labelset merge, per-type __name__ matchers and anchored regexes,
inclusive series-lookup bounds for the exporter's hour-floored registration
rows.

Not wired: no factory registration, no config selection, nothing serves
from this package yet. Fetch budgets (series/sample ceilings) are
deliberately left out for now and will come separately.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-29 18:25:28 +05:30
153 changed files with 10987 additions and 5291 deletions

View File

@@ -53,7 +53,6 @@ jobs:
- queriermetrics
- querierscalar
- queriercommon
- querierai
- rawexportdata
- promqlconformance
- querierauthz

View File

@@ -2,9 +2,9 @@ package main
import (
"github.com/SigNoz/signoz/pkg/metercollector"
"github.com/SigNoz/signoz/pkg/telemetryschema/logstelemetryschema"
"github.com/SigNoz/signoz/pkg/telemetryschema/metricstelemetryschema"
"github.com/SigNoz/signoz/pkg/telemetryschema/tracestelemetryschema"
"github.com/SigNoz/signoz/pkg/telemetrylogs"
"github.com/SigNoz/signoz/pkg/telemetrymetrics"
"github.com/SigNoz/signoz/pkg/telemetrytraces"
"github.com/SigNoz/signoz/pkg/types/retentiontypes"
"github.com/SigNoz/signoz/pkg/types/zeustypes"
)
@@ -25,8 +25,8 @@ var meterConfigs = []metercollector.Config{
Name: zeustypes.MeterLogSize,
Unit: zeustypes.MeterUnitBytes,
Aggregation: zeustypes.MeterAggregationSum,
DBName: logstelemetryschema.DBName,
TableName: logstelemetryschema.LogsV2LocalTableName,
DBName: telemetrylogs.DBName,
TableName: telemetrylogs.LogsV2LocalTableName,
DefaultRetentionDays: retentiontypes.DefaultLogsRetentionDays,
},
},
@@ -36,8 +36,8 @@ var meterConfigs = []metercollector.Config{
Name: zeustypes.MeterSpanSize,
Unit: zeustypes.MeterUnitBytes,
Aggregation: zeustypes.MeterAggregationSum,
DBName: tracestelemetryschema.DBName,
TableName: tracestelemetryschema.SpanIndexV3LocalTableName,
DBName: telemetrytraces.DBName,
TableName: telemetrytraces.SpanIndexV3LocalTableName,
DefaultRetentionDays: retentiontypes.DefaultTracesRetentionDays,
},
},
@@ -47,8 +47,8 @@ var meterConfigs = []metercollector.Config{
Name: zeustypes.MeterDatapointCount,
Unit: zeustypes.MeterUnitCount,
Aggregation: zeustypes.MeterAggregationSum,
DBName: metricstelemetryschema.DBName,
TableName: metricstelemetryschema.SamplesV4LocalTableName,
DBName: telemetrymetrics.DBName,
TableName: telemetrymetrics.SamplesV4LocalTableName,
DefaultRetentionDays: retentiontypes.DefaultMetricsRetentionDays,
},
},

View File

@@ -6899,7 +6899,6 @@ components:
Querybuildertypesv5QueryEnvelope:
discriminator:
mapping:
builder_ai_query: '#/components/schemas/Querybuildertypesv5QueryEnvelopeBuilderAI'
builder_formula: '#/components/schemas/Querybuildertypesv5QueryEnvelopeFormula'
builder_query: '#/components/schemas/Querybuildertypesv5QueryEnvelopeBuilder'
builder_trace_operator: '#/components/schemas/Querybuildertypesv5QueryEnvelopeTraceOperator'
@@ -6908,7 +6907,6 @@ components:
propertyName: type
oneOf:
- $ref: '#/components/schemas/Querybuildertypesv5QueryEnvelopeBuilder'
- $ref: '#/components/schemas/Querybuildertypesv5QueryEnvelopeBuilderAI'
- $ref: '#/components/schemas/Querybuildertypesv5QueryEnvelopeFormula'
- $ref: '#/components/schemas/Querybuildertypesv5QueryEnvelopeTraceOperator'
- $ref: '#/components/schemas/Querybuildertypesv5QueryEnvelopePromQL'
@@ -6923,15 +6921,6 @@ components:
required:
- type
type: object
Querybuildertypesv5QueryEnvelopeBuilderAI:
properties:
spec:
$ref: '#/components/schemas/Querybuildertypesv5QueryBuilderQueryGithubComSigNozSignozPkgTypesQuerybuildertypesQuerybuildertypesv5TraceAggregation'
type:
$ref: '#/components/schemas/Querybuildertypesv5QueryType'
required:
- type
type: object
Querybuildertypesv5QueryEnvelopeClickHouseSQL:
properties:
spec:
@@ -7045,7 +7034,6 @@ components:
Querybuildertypesv5QueryType:
enum:
- builder_query
- builder_ai_query
- builder_formula
- builder_trace_operator
- clickhouse_sql

View File

@@ -16,7 +16,7 @@ import (
"github.com/SigNoz/signoz/pkg/factory"
"github.com/SigNoz/signoz/pkg/metercollector"
"github.com/SigNoz/signoz/pkg/modules/retention"
"github.com/SigNoz/signoz/pkg/telemetryschema/metertelemetryschema"
"github.com/SigNoz/signoz/pkg/telemetrymeter"
"github.com/SigNoz/signoz/pkg/telemetrystore"
"github.com/SigNoz/signoz/pkg/types/licensetypes"
"github.com/SigNoz/signoz/pkg/types/retentiontypes"
@@ -153,7 +153,7 @@ func (provider *Provider) Collect(
func buildOriginQuery(meterName string) (string, []any) {
sb := sqlbuilder.NewSelectBuilder()
sb.Select("toInt64(ifNull(min(unix_milli), 0))")
sb.From(metertelemetryschema.DBName + "." + metertelemetryschema.SamplesTableName)
sb.From(telemetrymeter.DBName + "." + telemetrymeter.SamplesTableName)
sb.Where(sb.Equal("metric_name", meterName))
return sb.BuildWithFlavor(sqlbuilder.ClickHouse)
}
@@ -171,7 +171,7 @@ func buildQuery(meterName string, segment *retentiontypes.RetentionPolicySegment
sb := sqlbuilder.NewSelectBuilder()
sb.Select(selects...)
sb.From(metertelemetryschema.DBName + "." + metertelemetryschema.SamplesTableName)
sb.From(telemetrymeter.DBName + "." + telemetrymeter.SamplesTableName)
sb.Where(
sb.Equal("metric_name", meterName),
sb.GTE("unix_milli", segment.StartMs),

View File

@@ -8,16 +8,16 @@ import (
sqlbuilder "github.com/huandu/go-sqlbuilder"
"github.com/SigNoz/signoz/pkg/errors"
"github.com/SigNoz/signoz/pkg/telemetryschema/metricstelemetryschema"
"github.com/SigNoz/signoz/pkg/telemetrymetrics"
"github.com/SigNoz/signoz/pkg/telemetrystore"
"github.com/SigNoz/signoz/pkg/types/ctxtypes"
"github.com/SigNoz/signoz/pkg/types/metricreductionruletypes"
)
var (
reductionRulesTable = metricstelemetryschema.DBName + "." + metricstelemetryschema.ReductionRulesTableName
metadataTable = metricstelemetryschema.DBName + "." + metricstelemetryschema.AttributesMetadataTableName
bufferSeriesTable = metricstelemetryschema.DBName + "." + metricstelemetryschema.TimeseriesV4BufferTableName
reductionRulesTable = telemetrymetrics.DBName + "." + telemetrymetrics.ReductionRulesTableName
metadataTable = telemetrymetrics.DBName + "." + telemetrymetrics.AttributesMetadataTableName
bufferSeriesTable = telemetrymetrics.DBName + "." + telemetrymetrics.TimeseriesV4BufferTableName
)
const timeSeriesBucketMilli = int64(time.Hour / time.Millisecond)
@@ -192,7 +192,7 @@ func (c *clickhouse) ingestedSeriesCount(ctx context.Context, metricNames []stri
sb := sqlbuilder.NewSelectBuilder()
sb.Select("metric_name", "uniq(fingerprint)")
sb.From(metricstelemetryschema.DBName + "." + metricstelemetryschema.SamplesV4BufferTableName)
sb.From(telemetrymetrics.DBName + "." + telemetrymetrics.SamplesV4BufferTableName)
conds := []string{
sb.In("metric_name", names...),
sb.GE("unix_milli", startMs),
@@ -229,8 +229,8 @@ func (c *clickhouse) ingestedSeriesCount(ctx context.Context, metricNames []stri
// reduced sample tables.
func (c *clickhouse) reducedSeriesCount(ctx context.Context, metricNames []string, effectiveFrom map[string]int64, startMs, endMs int64) (map[string]uint64, error) {
out := make(map[string]uint64, len(metricNames))
for _, table := range []string{metricstelemetryschema.SamplesV4ReducedLastTableName, metricstelemetryschema.SamplesV4ReducedSumTableName} {
counts, err := c.reducedSeriesCountForTable(ctx, metricstelemetryschema.DBName+"."+table, metricNames, effectiveFrom, startMs, endMs)
for _, table := range []string{telemetrymetrics.SamplesV4ReducedLastTableName, telemetrymetrics.SamplesV4ReducedSumTableName} {
counts, err := c.reducedSeriesCountForTable(ctx, telemetrymetrics.DBName+"."+table, metricNames, effectiveFrom, startMs, endMs)
if err != nil {
return nil, err
}
@@ -300,9 +300,9 @@ func (c *clickhouse) RankByVolume(ctx context.Context, metricNames []string, eff
direction = "DESC"
}
ingestedTable := metricstelemetryschema.DBName + "." + metricstelemetryschema.SamplesV4BufferTableName
reducedLast := metricstelemetryschema.DBName + "." + metricstelemetryschema.SamplesV4ReducedLastTableName
reducedSum := metricstelemetryschema.DBName + "." + metricstelemetryschema.SamplesV4ReducedSumTableName
ingestedTable := telemetrymetrics.DBName + "." + telemetrymetrics.SamplesV4BufferTableName
reducedLast := telemetrymetrics.DBName + "." + telemetrymetrics.SamplesV4ReducedLastTableName
reducedSum := telemetrymetrics.DBName + "." + telemetrymetrics.SamplesV4ReducedSumTableName
sb := sqlbuilder.NewSelectBuilder()
sb.Select("base.metric_name AS metric_name", "ifNull(i.cnt, 0) AS ingested", "ifNull(d.cnt, 0) AS reduced")
@@ -352,16 +352,16 @@ func (c *clickhouse) SampleVolumeByMetric(ctx context.Context, metricNames []str
}
ctx = c.withThreads(ctx)
ingested, err := c.countSamplesByMetric(ctx, metricstelemetryschema.DBName+"."+metricstelemetryschema.SamplesV4BufferTableName, "count()", metricNames, effectiveFrom, startMs, endMs)
ingested, err := c.countSamplesByMetric(ctx, telemetrymetrics.DBName+"."+telemetrymetrics.SamplesV4BufferTableName, "count()", metricNames, effectiveFrom, startMs, endMs)
if err != nil {
return nil, err
}
last, err := c.countSamplesByMetric(ctx, metricstelemetryschema.DBName+"."+metricstelemetryschema.SamplesV4ReducedLastTableName, "uniq(reduced_fingerprint, unix_milli)", metricNames, effectiveFrom, startMs, endMs)
last, err := c.countSamplesByMetric(ctx, telemetrymetrics.DBName+"."+telemetrymetrics.SamplesV4ReducedLastTableName, "uniq(reduced_fingerprint, unix_milli)", metricNames, effectiveFrom, startMs, endMs)
if err != nil {
return nil, err
}
sum, err := c.countSamplesByMetric(ctx, metricstelemetryschema.DBName+"."+metricstelemetryschema.SamplesV4ReducedSumTableName, "uniq(reduced_fingerprint, unix_milli)", metricNames, effectiveFrom, startMs, endMs)
sum, err := c.countSamplesByMetric(ctx, telemetrymetrics.DBName+"."+telemetrymetrics.SamplesV4ReducedSumTableName, "uniq(reduced_fingerprint, unix_milli)", metricNames, effectiveFrom, startMs, endMs)
if err != nil {
return nil, err
}
@@ -419,7 +419,7 @@ func (c *clickhouse) TotalVolume(ctx context.Context, startMs, endMs int64) (uin
sb := sqlbuilder.NewSelectBuilder()
sb.Select("uniq(fingerprint)", "count()")
sb.From(metricstelemetryschema.DBName + "." + metricstelemetryschema.SamplesV4BufferTableName)
sb.From(telemetrymetrics.DBName + "." + telemetrymetrics.SamplesV4BufferTableName)
sb.Where(sb.GE("unix_milli", startMs), sb.LT("unix_milli", endMs))
query, args := sb.BuildWithFlavor(sqlbuilder.ClickHouse)
@@ -470,7 +470,7 @@ func (c *clickhouse) SampleTimeseries(ctx context.Context, ruledMetrics []string
func (c *clickhouse) totalSamplesByBucket(ctx context.Context, startMs, endMs int64) (map[int64]uint64, error) {
sb := sqlbuilder.NewSelectBuilder()
sb.Select(sampleBucketExpr, "count()")
sb.From(metricstelemetryschema.DBName + "." + metricstelemetryschema.SamplesV4BufferTableName)
sb.From(telemetrymetrics.DBName + "." + telemetrymetrics.SamplesV4BufferTableName)
sb.Where(sb.GE("unix_milli", startMs), sb.LT("unix_milli", endMs))
sb.GroupBy("bucket")
@@ -485,7 +485,7 @@ func (c *clickhouse) ruledIngestedSamplesByBucket(ctx context.Context, metricNam
sb := sqlbuilder.NewSelectBuilder()
sb.Select(sampleBucketExpr, "count()")
sb.From(metricstelemetryschema.DBName + "." + metricstelemetryschema.SamplesV4BufferTableName)
sb.From(telemetrymetrics.DBName + "." + telemetrymetrics.SamplesV4BufferTableName)
conds := []string{sb.In("metric_name", names...), sb.GE("unix_milli", startMs), sb.LT("unix_milli", endMs)}
if len(effectiveFrom) > 0 {
conds = append(conds, strictEffectiveFrom(sb, metricNames, effectiveFrom))
@@ -499,7 +499,7 @@ func (c *clickhouse) ruledIngestedSamplesByBucket(ctx context.Context, metricNam
// reduced 60s rows are versioned by computed_at, so count distinct buckets.
func (c *clickhouse) ruledRetainedSamplesByBucket(ctx context.Context, metricNames []string, effectiveFrom map[string]int64, startMs, endMs int64) (map[int64]uint64, error) {
out := make(map[int64]uint64)
for _, table := range []string{metricstelemetryschema.SamplesV4ReducedLastTableName, metricstelemetryschema.SamplesV4ReducedSumTableName} {
for _, table := range []string{telemetrymetrics.SamplesV4ReducedLastTableName, telemetrymetrics.SamplesV4ReducedSumTableName} {
names := make([]any, len(metricNames))
for i, name := range metricNames {
names[i] = name
@@ -507,7 +507,7 @@ func (c *clickhouse) ruledRetainedSamplesByBucket(ctx context.Context, metricNam
sb := sqlbuilder.NewSelectBuilder()
sb.Select(sampleBucketExpr, "uniq(reduced_fingerprint, unix_milli)")
sb.From(metricstelemetryschema.DBName + "." + table)
sb.From(telemetrymetrics.DBName + "." + table)
conds := []string{sb.In("metric_name", names...), sb.GE("unix_milli", startMs), sb.LT("unix_milli", endMs)}
if len(effectiveFrom) > 0 {
conds = append(conds, strictEffectiveFrom(sb, metricNames, effectiveFrom))

View File

@@ -4298,18 +4298,6 @@ export interface Querybuildertypesv5QueryEnvelopeBuilderDTO {
type: Querybuildertypesv5QueryEnvelopeBuilderDTOType;
}
export enum Querybuildertypesv5QueryEnvelopeBuilderAIDTOType {
builder_ai_query = 'builder_ai_query',
}
export interface Querybuildertypesv5QueryEnvelopeBuilderAIDTO {
spec?: Querybuildertypesv5QueryBuilderQueryGithubComSigNozSignozPkgTypesQuerybuildertypesQuerybuildertypesv5TraceAggregationDTO;
/**
* @type string
* @enum builder_ai_query
*/
type: Querybuildertypesv5QueryEnvelopeBuilderAIDTOType;
}
export interface Querybuildertypesv5QueryBuilderFormulaDTO {
/**
* @type boolean
@@ -4493,7 +4481,6 @@ export interface Querybuildertypesv5QueryEnvelopeClickHouseSQLDTO {
export type Querybuildertypesv5QueryEnvelopeDTO =
| Querybuildertypesv5QueryEnvelopeBuilderDTO
| Querybuildertypesv5QueryEnvelopeBuilderAIDTO
| Querybuildertypesv5QueryEnvelopeFormulaDTO
| Querybuildertypesv5QueryEnvelopeTraceOperatorDTO
| Querybuildertypesv5QueryEnvelopePromQLDTO
@@ -8297,7 +8284,6 @@ export interface Querybuildertypesv5QueryRangeResponseDTO {
export enum Querybuildertypesv5QueryTypeDTO {
builder_query = 'builder_query',
builder_ai_query = 'builder_ai_query',
builder_formula = 'builder_formula',
builder_trace_operator = 'builder_trace_operator',
clickhouse_sql = 'clickhouse_sql',

View File

@@ -14,6 +14,8 @@ var (
FeatureEnableAIObservability = featuretypes.MustNewName("enable_ai_observability")
FeatureEnableMetricsReduction = featuretypes.MustNewName("enable_metrics_reduction")
FeatureUseInfraMonitoringV2 = featuretypes.MustNewName("use_infra_monitoring_v2")
FeatureUsePrometheusClickhouseV2 = featuretypes.MustNewName("use_prometheus_clickhouse_v2")
)
func MustNewRegistry() featuretypes.Registry {
@@ -106,6 +108,14 @@ func MustNewRegistry() featuretypes.Registry {
DefaultVariant: featuretypes.MustNewName("disabled"),
Variants: featuretypes.NewBooleanVariants(),
},
&featuretypes.Feature{
Name: FeatureUsePrometheusClickhouseV2,
Kind: featuretypes.KindBoolean,
Stage: featuretypes.StageExperimental,
Description: "Runs PromQL queries on the clickhousev2 provider alongside the served engine result and logs any difference; serving is unaffected.",
DefaultVariant: featuretypes.MustNewName("disabled"),
Variants: featuretypes.NewBooleanVariants(),
},
)
if err != nil {
panic(err)

View File

@@ -5,14 +5,14 @@ import (
"fmt"
"github.com/SigNoz/signoz/pkg/errors"
"github.com/SigNoz/signoz/pkg/telemetryschema/metricstelemetryschema"
"github.com/SigNoz/signoz/pkg/telemetrymetrics"
"github.com/SigNoz/signoz/pkg/valuer"
)
func (m *module) Collect(ctx context.Context, _ valuer.UUID) (map[string]any, error) {
stats := make(map[string]any)
metadataTable := fmt.Sprintf("%s.%s", metricstelemetryschema.DBName, metricstelemetryschema.AttributesMetadataTableName)
metadataTable := fmt.Sprintf("%s.%s", telemetrymetrics.DBName, telemetrymetrics.AttributesMetadataTableName)
var (
systemMetricCount uint64
k8sMetricCount uint64

View File

@@ -7,7 +7,7 @@ import (
"strings"
"github.com/SigNoz/signoz/pkg/querybuilder"
"github.com/SigNoz/signoz/pkg/telemetryschema/metricstelemetryschema"
"github.com/SigNoz/signoz/pkg/telemetrymetrics"
"github.com/SigNoz/signoz/pkg/types/inframonitoringtypes"
qbtypes "github.com/SigNoz/signoz/pkg/types/querybuildertypes/querybuildertypesv5"
"github.com/SigNoz/signoz/pkg/valuer"
@@ -281,7 +281,7 @@ func (m *module) getPerGroupContainerStatusCounts(
mergedFilterExpr := mergeFilterExpressions(userFilterExpr, buildPageGroupsFilterExpr(pageGroups))
samplesStartMs, flooredEndMs, tsAdjustedStart, _, localTimeSeriesTable, distributedSamplesTable, _ := alignedMetricWindow(start, end)
valueCol := metricstelemetryschema.ValueColumnForSamplesTable(distributedSamplesTable)
valueCol := telemetrymetrics.ValueColumnForSamplesTable(distributedSamplesTable)
// Built once; identical across the two fps CTEs (buildFilterClause hits the
// metadata store + parses the expression). AddWhereClause only reads it.
@@ -310,7 +310,7 @@ func (m *module) getPerGroupContainerStatusCounts(
)
}
stateFps.Select(stateFpsCols...)
stateFps.From(fmt.Sprintf("%s.%s", metricstelemetryschema.DBName, localTimeSeriesTable))
stateFps.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, localTimeSeriesTable))
stateFps.Where(
stateFps.E("metric_name", containerStatusStateMetricName),
stateFps.GE("unix_milli", tsAdjustedStart),
@@ -342,7 +342,7 @@ func (m *module) getPerGroupContainerStatusCounts(
containerState.Select(containerStateCols...)
containerState.From(fmt.Sprintf(
"%s.%s AS samples INNER JOIN state_fps AS fps ON samples.fingerprint = fps.fingerprint",
metricstelemetryschema.DBName, distributedSamplesTable,
telemetrymetrics.DBName, distributedSamplesTable,
))
containerState.Where(
containerState.E("samples.metric_name", containerStatusStateMetricName),
@@ -361,7 +361,7 @@ func (m *module) getPerGroupContainerStatusCounts(
fmt.Sprintf("JSONExtractString(labels, %s) AS container_name", reasonFps.Var(containerNameAttrKey)),
fmt.Sprintf("JSONExtractString(labels, %s) AS reason", reasonFps.Var(containerStatusReasonAttrKey)),
)
reasonFps.From(fmt.Sprintf("%s.%s", metricstelemetryschema.DBName, localTimeSeriesTable))
reasonFps.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, localTimeSeriesTable))
reasonFps.Where(
reasonFps.E("metric_name", containerStatusReasonMetricName),
reasonFps.GE("unix_milli", tsAdjustedStart),
@@ -391,7 +391,7 @@ func (m *module) getPerGroupContainerStatusCounts(
)
reasonInner.From(fmt.Sprintf(
"%s.%s AS samples INNER JOIN reason_fps AS fps ON samples.fingerprint = fps.fingerprint",
metricstelemetryschema.DBName, distributedSamplesTable,
telemetrymetrics.DBName, distributedSamplesTable,
))
reasonInner.Where(
reasonInner.E("samples.metric_name", containerStatusReasonMetricName),
@@ -546,7 +546,7 @@ func (m *module) getPerGroupContainerRestartCounts(
mergedFilterExpr := mergeFilterExpressions(userFilterExpr, buildPageGroupsFilterExpr(pageGroups))
samplesStartMs, flooredEndMs, tsAdjustedStart, _, localTimeSeriesTable, distributedSamplesTable, _ := alignedMetricWindow(start, end)
valueCol := metricstelemetryschema.ValueColumnForSamplesTable(distributedSamplesTable)
valueCol := telemetrymetrics.ValueColumnForSamplesTable(distributedSamplesTable)
var (
filterClause *sqlbuilder.WhereClause
@@ -572,7 +572,7 @@ func (m *module) getPerGroupContainerRestartCounts(
)
}
restartFps.Select(restartFpsCols...)
restartFps.From(fmt.Sprintf("%s.%s", metricstelemetryschema.DBName, localTimeSeriesTable))
restartFps.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, localTimeSeriesTable))
restartFps.Where(
restartFps.E("metric_name", containerRestartsMetricName),
restartFps.GE("unix_milli", tsAdjustedStart),
@@ -602,7 +602,7 @@ func (m *module) getPerGroupContainerRestartCounts(
containerRestarts.Select(containerRestartsCols...)
containerRestarts.From(fmt.Sprintf(
"%s.%s AS samples INNER JOIN restart_fps AS fps ON samples.fingerprint = fps.fingerprint",
metricstelemetryschema.DBName, distributedSamplesTable,
telemetrymetrics.DBName, distributedSamplesTable,
))
containerRestarts.Where(
containerRestarts.E("samples.metric_name", containerRestartsMetricName),
@@ -690,7 +690,7 @@ func (m *module) getPerGroupContainerReadyCounts(
mergedFilterExpr := mergeFilterExpressions(userFilterExpr, buildPageGroupsFilterExpr(pageGroups))
samplesStartMs, flooredEndMs, tsAdjustedStart, _, localTimeSeriesTable, distributedSamplesTable, _ := alignedMetricWindow(start, end)
valueCol := metricstelemetryschema.ValueColumnForSamplesTable(distributedSamplesTable)
valueCol := telemetrymetrics.ValueColumnForSamplesTable(distributedSamplesTable)
var (
filterClause *sqlbuilder.WhereClause
@@ -716,7 +716,7 @@ func (m *module) getPerGroupContainerReadyCounts(
)
}
readyFps.Select(readyFpsCols...)
readyFps.From(fmt.Sprintf("%s.%s", metricstelemetryschema.DBName, localTimeSeriesTable))
readyFps.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, localTimeSeriesTable))
readyFps.Where(
readyFps.E("metric_name", containerReadyMetricName),
readyFps.GE("unix_milli", tsAdjustedStart),
@@ -746,7 +746,7 @@ func (m *module) getPerGroupContainerReadyCounts(
containerReady.Select(containerReadyCols...)
containerReady.From(fmt.Sprintf(
"%s.%s AS samples INNER JOIN ready_fps AS fps ON samples.fingerprint = fps.fingerprint",
metricstelemetryschema.DBName, distributedSamplesTable,
telemetrymetrics.DBName, distributedSamplesTable,
))
containerReady.Where(
containerReady.E("samples.metric_name", containerReadyMetricName),

View File

@@ -9,7 +9,7 @@ import (
"github.com/SigNoz/signoz/pkg/errors"
"github.com/SigNoz/signoz/pkg/flagger"
"github.com/SigNoz/signoz/pkg/querybuilder"
"github.com/SigNoz/signoz/pkg/telemetryschema/metricstelemetryschema"
"github.com/SigNoz/signoz/pkg/telemetrymetrics"
"github.com/SigNoz/signoz/pkg/types/featuretypes"
"github.com/SigNoz/signoz/pkg/types/inframonitoringtypes"
"github.com/SigNoz/signoz/pkg/types/metrictypes"
@@ -344,11 +344,11 @@ func alignedMetricWindow(startMs, endMs int64) (
flooredEndMs = flooredEndMs - (flooredEndMs % (adjustStep * 1000))
}
tsAdjustedStartMs, _, distributedTSTable, localTSTable := metricstelemetryschema.WhichTSTableToUse(
tsAdjustedStartMs, _, distributedTSTable, localTSTable := telemetrymetrics.WhichTSTableToUse(
samplesAdjustedStartMs, flooredEndMs, false, nil,
)
distributedSamplesTable, localSamplesTable := metricstelemetryschema.WhichSamplesTableToUse(
distributedSamplesTable, localSamplesTable := telemetrymetrics.WhichSamplesTableToUse(
samplesAdjustedStartMs, flooredEndMs,
metrictypes.UnspecifiedType, metrictypes.TimeAggregationUnspecified, false, nil,
)
@@ -362,7 +362,7 @@ func alignedMetricWindow(startMs, endMs int64) (
func (m *module) buildSamplesTblFingerprintSubQuery(metricNames []string, samplesTable string, flooredStart, flooredEnd uint64) *sqlbuilder.SelectBuilder {
fpSB := sqlbuilder.NewSelectBuilder()
fpSB.Select("DISTINCT fingerprint")
fpSB.From(fmt.Sprintf("%s.%s", metricstelemetryschema.DBName, samplesTable))
fpSB.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, samplesTable))
fpSB.Where(
fpSB.In("metric_name", sqlbuilder.List(metricNames)),
fpSB.GE("unix_milli", flooredStart),
@@ -376,7 +376,7 @@ func (m *module) buildSamplesTblFingerprintSubQuery(metricNames []string, sample
func (m *module) buildReducedSamplesTblFingerprintSubQuery(metricNames []string, flooredStart, flooredEnd uint64) *sqlbuilder.SelectBuilder {
lastSB := sqlbuilder.NewSelectBuilder()
lastSB.Select("reduced_fingerprint")
lastSB.From(fmt.Sprintf("%s.%s", metricstelemetryschema.DBName, metricstelemetryschema.SamplesV4ReducedLastTableName))
lastSB.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, telemetrymetrics.SamplesV4ReducedLastTableName))
lastSB.Where(
lastSB.In("metric_name", sqlbuilder.List(metricNames)),
lastSB.GE("unix_milli", flooredStart),
@@ -385,7 +385,7 @@ func (m *module) buildReducedSamplesTblFingerprintSubQuery(metricNames []string,
sumSB := sqlbuilder.NewSelectBuilder()
sumSB.Select("reduced_fingerprint")
sumSB.From(fmt.Sprintf("%s.%s", metricstelemetryschema.DBName, metricstelemetryschema.SamplesV4ReducedSumTableName))
sumSB.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, telemetrymetrics.SamplesV4ReducedSumTableName))
sumSB.Where(
sumSB.In("metric_name", sqlbuilder.List(metricNames)),
sumSB.GE("unix_milli", flooredStart),
@@ -478,7 +478,7 @@ func (m *module) getEarliestMetricTime(ctx context.Context, metricNames []string
sb := sqlbuilder.NewSelectBuilder()
sb.Select("min(first_reported_unix_milli) AS min_first_reported")
sb.From(fmt.Sprintf("%s.%s", metricstelemetryschema.DBName, metricstelemetryschema.AttributesMetadataTableName))
sb.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, telemetrymetrics.AttributesMetadataTableName))
sb.Where(sb.In("metric_name", sqlbuilder.List(metricNames)))
query, args := sb.BuildWithFlavor(sqlbuilder.ClickHouse)
@@ -504,7 +504,7 @@ func (m *module) getMetricsExistence(ctx context.Context, metricNames []string)
sb := sqlbuilder.NewSelectBuilder()
sb.Select("metric_name", "count(*) AS cnt")
sb.From(fmt.Sprintf("%s.%s", metricstelemetryschema.DBName, metricstelemetryschema.AttributesMetadataTableName))
sb.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, telemetrymetrics.AttributesMetadataTableName))
sb.Where(sb.In("metric_name", sqlbuilder.List(metricNames)))
sb.GroupBy("metric_name")
@@ -549,7 +549,7 @@ func (m *module) getAttributesExistence(ctx context.Context, metricNames, attrNa
}
sb := sqlbuilder.NewSelectBuilder()
sb.Select("attr_name", "count(*) AS cnt")
sb.From(fmt.Sprintf("%s.%s", metricstelemetryschema.DBName, metricstelemetryschema.AttributesMetadataTableName))
sb.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, telemetrymetrics.AttributesMetadataTableName))
sb.Where(
sb.In("metric_name", sqlbuilder.List(metricNames)),
sb.In("attr_name", sqlbuilder.List(attrNames)),
@@ -656,7 +656,7 @@ func (m *module) getMetadata(
rawSrc := sqlbuilder.NewSelectBuilder()
rawSrc.Select("labels", "unix_milli")
rawSrc.From(fmt.Sprintf("%s.%s", metricstelemetryschema.DBName, distributedTableName))
rawSrc.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, distributedTableName))
rawSrc.Where(
rawSrc.In("metric_name", sqlbuilder.List(metricNames)),
rawSrc.GE("unix_milli", tsAdjustedStartMs),
@@ -669,7 +669,7 @@ func (m *module) getMetadata(
reducedSrc := sqlbuilder.NewSelectBuilder()
reducedSrc.Select("labels", "unix_milli")
reducedSrc.From(fmt.Sprintf("%s.%s", metricstelemetryschema.DBName, metricstelemetryschema.TimeseriesV4ReducedTableName))
reducedSrc.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, telemetrymetrics.TimeseriesV4ReducedTableName))
reducedSrc.Where(
reducedSrc.In("metric_name", sqlbuilder.List(metricNames)),
reducedSrc.GE("unix_milli", tsAdjustedStartMs),
@@ -683,7 +683,7 @@ func (m *module) getMetadata(
// Inner query reads over the union of raw + reduced series.
innerSB.From(innerSB.BuilderAs(sqlbuilder.UnionAll(rawSrc, reducedSrc), "series"))
} else {
innerSB.From(fmt.Sprintf("%s.%s", metricstelemetryschema.DBName, distributedTableName))
innerSB.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, distributedTableName))
innerSB.Where(
innerSB.In("metric_name", sqlbuilder.List(metricNames)),
innerSB.GE("unix_milli", tsAdjustedStartMs),
@@ -870,7 +870,7 @@ func (m *module) getPerGroupDistinctCounts(
rawSrc := sqlbuilder.NewSelectBuilder()
rawSrc.Select("labels")
rawSrc.From(fmt.Sprintf("%s.%s", metricstelemetryschema.DBName, distributedTimeSeriesTbl))
rawSrc.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, distributedTimeSeriesTbl))
rawSrc.Where(
rawSrc.In("metric_name", sqlbuilder.List(metricNames)),
rawSrc.GE("unix_milli", tsAdjustedStartMs),
@@ -883,7 +883,7 @@ func (m *module) getPerGroupDistinctCounts(
reducedSrc := sqlbuilder.NewSelectBuilder()
reducedSrc.Select("labels")
reducedSrc.From(fmt.Sprintf("%s.%s", metricstelemetryschema.DBName, metricstelemetryschema.TimeseriesV4ReducedTableName))
reducedSrc.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, telemetrymetrics.TimeseriesV4ReducedTableName))
reducedSrc.Where(
reducedSrc.In("metric_name", sqlbuilder.List(metricNames)),
reducedSrc.GE("unix_milli", tsAdjustedStartMs),
@@ -896,7 +896,7 @@ func (m *module) getPerGroupDistinctCounts(
sb.From(sb.BuilderAs(sqlbuilder.UnionAll(rawSrc, reducedSrc), "series"))
} else {
sb.From(fmt.Sprintf("%s.%s", metricstelemetryschema.DBName, distributedTimeSeriesTbl))
sb.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, distributedTimeSeriesTbl))
sb.Where(
sb.In("metric_name", sqlbuilder.List(metricNames)),
sb.GE("unix_milli", tsAdjustedStartMs),

View File

@@ -7,7 +7,7 @@ import (
"strings"
"github.com/SigNoz/signoz/pkg/flagger"
"github.com/SigNoz/signoz/pkg/telemetryschema/metricstelemetryschema"
"github.com/SigNoz/signoz/pkg/telemetrymetrics"
"github.com/SigNoz/signoz/pkg/types/featuretypes"
"github.com/SigNoz/signoz/pkg/types/inframonitoringtypes"
qbtypes "github.com/SigNoz/signoz/pkg/types/querybuildertypes/querybuildertypesv5"
@@ -72,7 +72,7 @@ func (m *module) getPerGroupHostStatusCounts(
rawSrc := sqlbuilder.NewSelectBuilder()
rawSrc.Select("labels")
rawSrc.From(fmt.Sprintf("%s.%s", metricstelemetryschema.DBName, distributedTimeSeriesTableName))
rawSrc.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, distributedTimeSeriesTableName))
rawSrc.Where(
rawSrc.In("metric_name", sqlbuilder.List(metricNames)),
rawSrc.GE("unix_milli", tsAdjustedStartMs),
@@ -85,7 +85,7 @@ func (m *module) getPerGroupHostStatusCounts(
reducedSrc := sqlbuilder.NewSelectBuilder()
reducedSrc.Select("labels")
reducedSrc.From(fmt.Sprintf("%s.%s", metricstelemetryschema.DBName, metricstelemetryschema.TimeseriesV4ReducedTableName))
reducedSrc.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, telemetrymetrics.TimeseriesV4ReducedTableName))
reducedSrc.Where(
reducedSrc.In("metric_name", sqlbuilder.List(metricNames)),
reducedSrc.GE("unix_milli", tsAdjustedStartMs),
@@ -101,7 +101,7 @@ func (m *module) getPerGroupHostStatusCounts(
fpSB := m.buildSamplesTblFingerprintSubQuery(metricNames, localSamplesTable, samplesStartMs, flooredEndMs)
sb.From(fmt.Sprintf("%s.%s", metricstelemetryschema.DBName, distributedTimeSeriesTableName))
sb.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, distributedTimeSeriesTableName))
sb.Where(
sb.In("metric_name", sqlbuilder.List(metricNames)),
sb.GE("unix_milli", tsAdjustedStartMs),
@@ -357,7 +357,7 @@ func (m *module) getActiveHostsQuery(metricNames []string, hostNameAttr string,
sb := sqlbuilder.NewSelectBuilder()
sb.Distinct()
sb.Select("attr_string_value")
sb.From(fmt.Sprintf("%s.%s", metricstelemetryschema.DBName, metricstelemetryschema.AttributesMetadataTableName))
sb.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, telemetrymetrics.AttributesMetadataTableName))
sb.Where(
sb.In("metric_name", sqlbuilder.List(metricNames)),
sb.E("attr_name", hostNameAttr),

View File

@@ -9,7 +9,7 @@ import (
"github.com/SigNoz/signoz/pkg/flagger"
"github.com/SigNoz/signoz/pkg/modules/inframonitoring"
"github.com/SigNoz/signoz/pkg/querier"
"github.com/SigNoz/signoz/pkg/telemetryschema/metricstelemetryschema"
"github.com/SigNoz/signoz/pkg/telemetrymetrics"
"github.com/SigNoz/signoz/pkg/telemetrystore"
"github.com/SigNoz/signoz/pkg/types/ctxtypes"
"github.com/SigNoz/signoz/pkg/types/inframonitoringtypes"
@@ -40,8 +40,8 @@ func NewModule(
providerSettings factory.ProviderSettings,
cfg inframonitoring.Config,
) inframonitoring.Module {
fieldMapper := metricstelemetryschema.NewFieldMapper()
condBuilder := metricstelemetryschema.NewConditionBuilder(fieldMapper)
fieldMapper := telemetrymetrics.NewFieldMapper()
condBuilder := telemetrymetrics.NewConditionBuilder(fieldMapper)
return &module{
telemetryStore: telemetryStore,
telemetryMetadataStore: telemetryMetadataStore,

View File

@@ -7,7 +7,7 @@ import (
"strings"
"github.com/SigNoz/signoz/pkg/querybuilder"
"github.com/SigNoz/signoz/pkg/telemetryschema/metricstelemetryschema"
"github.com/SigNoz/signoz/pkg/telemetrymetrics"
"github.com/SigNoz/signoz/pkg/types/inframonitoringtypes"
qbtypes "github.com/SigNoz/signoz/pkg/types/querybuildertypes/querybuildertypesv5"
"github.com/SigNoz/signoz/pkg/valuer"
@@ -186,7 +186,7 @@ func (m *module) getPerGroupNodeConditionCounts(
// Step-floor bounds + resolve tables in one shot to match QB v5 querier.
samplesStartMs, flooredEndMs, tsAdjustedStartMs, _, localTimeSeriesTable, distributedSamplesTable, _ := alignedMetricWindow(start, end)
valueCol := metricstelemetryschema.ValueColumnForSamplesTable(distributedSamplesTable)
valueCol := telemetrymetrics.ValueColumnForSamplesTable(distributedSamplesTable)
// ----- timeSeriesFPs -----
timeSeriesFPs := sqlbuilder.NewSelectBuilder()
@@ -200,7 +200,7 @@ func (m *module) getPerGroupNodeConditionCounts(
)
}
timeSeriesFPs.Select(timeSeriesFPsSelectCols...)
timeSeriesFPs.From(fmt.Sprintf("%s.%s", metricstelemetryschema.DBName, localTimeSeriesTable))
timeSeriesFPs.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, localTimeSeriesTable))
timeSeriesFPs.Where(
timeSeriesFPs.E("metric_name", nodeConditionMetricName),
timeSeriesFPs.GE("unix_milli", tsAdjustedStartMs),
@@ -237,7 +237,7 @@ func (m *module) getPerGroupNodeConditionCounts(
latestConditionPerNode.Select(latestConditionPerNodeSelectCols...)
latestConditionPerNode.From(fmt.Sprintf(
"%s.%s AS samples INNER JOIN time_series_fps AS tsfp ON samples.fingerprint = tsfp.fingerprint",
metricstelemetryschema.DBName, distributedSamplesTable,
telemetrymetrics.DBName, distributedSamplesTable,
))
latestConditionPerNode.Where(
latestConditionPerNode.E("samples.metric_name", nodeConditionMetricName),

View File

@@ -8,7 +8,7 @@ import (
"time"
"github.com/SigNoz/signoz/pkg/querybuilder"
"github.com/SigNoz/signoz/pkg/telemetryschema/metricstelemetryschema"
"github.com/SigNoz/signoz/pkg/telemetrymetrics"
"github.com/SigNoz/signoz/pkg/types/inframonitoringtypes"
qbtypes "github.com/SigNoz/signoz/pkg/types/querybuildertypes/querybuildertypesv5"
"github.com/SigNoz/signoz/pkg/valuer"
@@ -284,7 +284,7 @@ func (m *module) getPerGroupPodStatusCounts(
mergedFilterExpr := mergeFilterExpressions(userFilterExpr, buildPageGroupsFilterExpr(pageGroups))
samplesStartMs, flooredEndMs, tsAdjustedStart, _, localTimeSeriesTable, distributedSamplesTable, _ := alignedMetricWindow(start, end)
valueCol := metricstelemetryschema.ValueColumnForSamplesTable(distributedSamplesTable)
valueCol := telemetrymetrics.ValueColumnForSamplesTable(distributedSamplesTable)
// Build the merged filter clause once; it's identical across the three fps
// CTEs, and buildFilterClause hits the metadata store + parses the
@@ -313,7 +313,7 @@ func (m *module) getPerGroupPodStatusCounts(
)
}
phaseFps.Select(phaseFpsCols...)
phaseFps.From(fmt.Sprintf("%s.%s", metricstelemetryschema.DBName, localTimeSeriesTable))
phaseFps.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, localTimeSeriesTable))
phaseFps.Where(
phaseFps.E("metric_name", podPhaseMetricName),
phaseFps.GE("unix_milli", tsAdjustedStart),
@@ -340,7 +340,7 @@ func (m *module) getPerGroupPodStatusCounts(
phasePerPod.Select(phasePerPodCols...)
phasePerPod.From(fmt.Sprintf(
"%s.%s AS samples INNER JOIN phase_fps AS fps ON samples.fingerprint = fps.fingerprint",
metricstelemetryschema.DBName, distributedSamplesTable,
telemetrymetrics.DBName, distributedSamplesTable,
))
phasePerPod.Where(
phasePerPod.E("samples.metric_name", podPhaseMetricName),
@@ -357,7 +357,7 @@ func (m *module) getPerGroupPodStatusCounts(
"fingerprint",
fmt.Sprintf("JSONExtractString(labels, %s) AS pod_uid", podReasonFps.Var(podUIDAttrKey)),
)
podReasonFps.From(fmt.Sprintf("%s.%s", metricstelemetryschema.DBName, localTimeSeriesTable))
podReasonFps.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, localTimeSeriesTable))
podReasonFps.Where(
podReasonFps.E("metric_name", podStatusReasonMetricName),
podReasonFps.GE("unix_milli", tsAdjustedStart),
@@ -377,7 +377,7 @@ func (m *module) getPerGroupPodStatusCounts(
)
podReasonPerPod.From(fmt.Sprintf(
"%s.%s AS samples INNER JOIN pod_reason_fps AS fps ON samples.fingerprint = fps.fingerprint",
metricstelemetryschema.DBName, distributedSamplesTable,
telemetrymetrics.DBName, distributedSamplesTable,
))
podReasonPerPod.Where(
podReasonPerPod.E("samples.metric_name", podStatusReasonMetricName),
@@ -396,7 +396,7 @@ func (m *module) getPerGroupPodStatusCounts(
fmt.Sprintf("JSONExtractString(labels, %s) AS container_name", containerReasonFps.Var(containerNameAttrKey)),
fmt.Sprintf("JSONExtractString(labels, %s) AS reason", containerReasonFps.Var(containerStatusReasonAttrKey)),
)
containerReasonFps.From(fmt.Sprintf("%s.%s", metricstelemetryschema.DBName, localTimeSeriesTable))
containerReasonFps.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, localTimeSeriesTable))
containerReasonFps.Where(
containerReasonFps.E("metric_name", containerStatusReasonMetricName),
containerReasonFps.GE("unix_milli", tsAdjustedStart),
@@ -432,7 +432,7 @@ func (m *module) getPerGroupPodStatusCounts(
)
containerInner.From(fmt.Sprintf(
"%s.%s AS samples INNER JOIN container_reason_fps AS fps ON samples.fingerprint = fps.fingerprint",
metricstelemetryschema.DBName, distributedSamplesTable,
telemetrymetrics.DBName, distributedSamplesTable,
))
containerInner.Where(
containerInner.E("samples.metric_name", containerStatusReasonMetricName),
@@ -611,7 +611,7 @@ func (m *module) getPerGroupPodRestartCounts(
mergedFilterExpr := mergeFilterExpressions(userFilterExpr, buildPageGroupsFilterExpr(pageGroups))
samplesStartMs, flooredEndMs, tsAdjustedStart, _, localTimeSeriesTable, distributedSamplesTable, _ := alignedMetricWindow(start, end)
valueCol := metricstelemetryschema.ValueColumnForSamplesTable(distributedSamplesTable)
valueCol := telemetrymetrics.ValueColumnForSamplesTable(distributedSamplesTable)
var (
filterClause *sqlbuilder.WhereClause
@@ -637,7 +637,7 @@ func (m *module) getPerGroupPodRestartCounts(
)
}
restartFps.Select(restartFpsCols...)
restartFps.From(fmt.Sprintf("%s.%s", metricstelemetryschema.DBName, localTimeSeriesTable))
restartFps.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, localTimeSeriesTable))
restartFps.Where(
restartFps.E("metric_name", containerRestartsMetricName),
restartFps.GE("unix_milli", tsAdjustedStart),
@@ -667,7 +667,7 @@ func (m *module) getPerGroupPodRestartCounts(
containerRestarts.Select(containerRestartsCols...)
containerRestarts.From(fmt.Sprintf(
"%s.%s AS samples INNER JOIN restart_fps AS fps ON samples.fingerprint = fps.fingerprint",
metricstelemetryschema.DBName, distributedSamplesTable,
telemetrymetrics.DBName, distributedSamplesTable,
))
containerRestarts.Where(
containerRestarts.E("samples.metric_name", containerRestartsMetricName),

View File

@@ -213,18 +213,18 @@ func (module *module) discoverModels(ctx context.Context, orgID valuer.UUID) ([]
Spec: qbtypes.QueryBuilderQuery[qbtypes.TraceAggregation]{
Name: "A",
Signal: telemetrytypes.SignalTraces,
Filter: &qbtypes.Filter{Expression: fmt.Sprintf("%s EXISTS", telemetrytypes.GenAIRequestModel)},
Filter: &qbtypes.Filter{Expression: fmt.Sprintf("%s EXISTS", llmpricingruletypes.GenAIRequestModel)},
Aggregations: []qbtypes.TraceAggregation{
{Expression: "count()", Alias: "spanCount"},
},
GroupBy: []qbtypes.GroupByKey{
{TelemetryFieldKey: telemetrytypes.TelemetryFieldKey{
Name: telemetrytypes.GenAIRequestModel,
Name: llmpricingruletypes.GenAIRequestModel,
FieldContext: telemetrytypes.FieldContextSpan,
FieldDataType: telemetrytypes.FieldDataTypeString,
}},
{TelemetryFieldKey: telemetrytypes.TelemetryFieldKey{
Name: telemetrytypes.GenAIProviderName,
Name: llmpricingruletypes.GenAIProviderName,
FieldContext: telemetrytypes.FieldContextSpan,
FieldDataType: telemetrytypes.FieldDataTypeString,
}},
@@ -254,9 +254,9 @@ func (module *module) discoverModels(ctx context.Context, orgID valuer.UUID) ([]
switch c.Type {
case qbtypes.ColumnTypeGroup:
switch c.Name {
case telemetrytypes.GenAIRequestModel:
case llmpricingruletypes.GenAIRequestModel:
modelIdx = i
case telemetrytypes.GenAIProviderName:
case llmpricingruletypes.GenAIProviderName:
providerIdx = i
}
case qbtypes.ColumnTypeAggregation:

View File

@@ -19,8 +19,8 @@ import (
"github.com/SigNoz/signoz/pkg/modules/dashboard"
"github.com/SigNoz/signoz/pkg/modules/metricsexplorer"
"github.com/SigNoz/signoz/pkg/querybuilder"
"github.com/SigNoz/signoz/pkg/telemetryschema/metertelemetryschema"
"github.com/SigNoz/signoz/pkg/telemetryschema/metricstelemetryschema"
"github.com/SigNoz/signoz/pkg/telemetrymeter"
"github.com/SigNoz/signoz/pkg/telemetrymetrics"
"github.com/SigNoz/signoz/pkg/telemetrystore"
"github.com/SigNoz/signoz/pkg/types/ctxtypes"
"github.com/SigNoz/signoz/pkg/types/dashboardtypes"
@@ -49,8 +49,8 @@ type module struct {
// NewModule constructs the metrics module with the provided dependencies.
func NewModule(ts telemetrystore.TelemetryStore, telemetryMetadataStore telemetrytypes.MetadataStore, cache cache.Cache, ruleStore ruletypes.RuleStore, dashboardModule dashboard.Module, fl flagger.Flagger, providerSettings factory.ProviderSettings, cfg metricsexplorer.Config) metricsexplorer.Module {
fieldMapper := metricstelemetryschema.NewFieldMapper()
condBuilder := metricstelemetryschema.NewConditionBuilder(fieldMapper)
fieldMapper := telemetrymetrics.NewFieldMapper()
condBuilder := telemetrymetrics.NewConditionBuilder(fieldMapper)
return &module{
telemetryStore: ts,
fieldMapper: fieldMapper,
@@ -89,7 +89,7 @@ func (m *module) listMeterMetrics(ctx context.Context, params *metricsexplorerty
"argMax(temporality, unix_milli) AS temporality",
"argMax(is_monotonic, unix_milli) AS is_monotonic",
)
sb.From(fmt.Sprintf("%s.%s", metertelemetryschema.DBName, metertelemetryschema.SamplesTableName))
sb.From(fmt.Sprintf("%s.%s", telemetrymeter.DBName, telemetrymeter.SamplesTableName))
if params.Start != nil && params.End != nil {
sb.Where(sb.Between("unix_milli", *params.Start, *params.End))
@@ -160,11 +160,11 @@ func (m *module) listMetrics(ctx context.Context, orgID valuer.UUID, params *met
hasRange := params.Start != nil && params.End != nil
if hasRange {
var distributedTsTable string
rangeStart, rangeEnd, distributedTsTable, _ = metricstelemetryschema.WhichTSTableToUse(uint64(*params.Start), uint64(*params.End), false, nil)
rawSB.From(fmt.Sprintf("%s.%s", metricstelemetryschema.DBName, distributedTsTable))
rangeStart, rangeEnd, distributedTsTable, _ = telemetrymetrics.WhichTSTableToUse(uint64(*params.Start), uint64(*params.End), false, nil)
rawSB.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, distributedTsTable))
rawSB.Where(rawSB.Between("unix_milli", rangeStart, rangeEnd))
} else {
rawSB.From(fmt.Sprintf("%s.%s", metricstelemetryschema.DBName, metricstelemetryschema.TimeseriesV41weekTableName))
rawSB.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, telemetrymetrics.TimeseriesV41weekTableName))
}
applyListFilters(rawSB)
@@ -174,7 +174,7 @@ func (m *module) listMetrics(ctx context.Context, orgID valuer.UUID, params *met
if reductionEnabled {
reducedSB := sqlbuilder.NewSelectBuilder()
reducedSB.Select("DISTINCT metric_name")
reducedSB.From(fmt.Sprintf("%s.%s", metricstelemetryschema.DBName, metricstelemetryschema.TimeseriesV4ReducedTableName))
reducedSB.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, telemetrymetrics.TimeseriesV4ReducedTableName))
if hasRange {
reducedSB.Where(reducedSB.Between("unix_milli", rangeStart, rangeEnd))
}
@@ -512,7 +512,7 @@ func (m *module) CheckMetricExists(ctx context.Context, orgID valuer.UUID, metri
sb := sqlbuilder.NewSelectBuilder()
sb.Select("count(*) > 0 as metricExists")
sb.From(fmt.Sprintf("%s.%s", metricstelemetryschema.DBName, metricstelemetryschema.AttributesMetadataTableName))
sb.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, telemetrymetrics.AttributesMetadataTableName))
sb.Where(sb.E("metric_name", metricName))
query, args := sb.BuildWithFlavor(sqlbuilder.ClickHouse)
@@ -534,7 +534,7 @@ func (m *module) HasNonSigNozMetrics(ctx context.Context) (bool, error) {
sb := sqlbuilder.NewSelectBuilder()
sb.Select("count(*) > 0")
sb.From(fmt.Sprintf("%s.%s", metricstelemetryschema.DBName, metricstelemetryschema.TimeseriesV41weekTableName))
sb.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, telemetrymetrics.TimeseriesV41weekTableName))
sb.Where("metric_name NOT LIKE 'signoz_%'")
query, args := sb.BuildWithFlavor(sqlbuilder.ClickHouse)
@@ -570,10 +570,10 @@ func (m *module) InspectMetrics(
return nil, err
}
tsStart, _, tsTable, _ := metricstelemetryschema.WhichTSTableToUse(start, end, false, nil)
tsStart, _, tsTable, _ := telemetrymetrics.WhichTSTableToUse(start, end, false, nil)
tsSb := sqlbuilder.NewSelectBuilder()
tsSb.Select("fingerprint", "labels")
tsSb.From(fmt.Sprintf("%s.%s", metricstelemetryschema.DBName, tsTable))
tsSb.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, tsTable))
tsSb.Where(
tsSb.E("metric_name", req.MetricName),
tsSb.GE("unix_milli", tsStart),
@@ -625,7 +625,7 @@ func (m *module) InspectMetrics(
samplesSb := sqlbuilder.NewSelectBuilder()
samplesSb.Select("fingerprint", "unix_milli", "value")
samplesSb.From(fmt.Sprintf("%s.%s", metricstelemetryschema.DBName, metricstelemetryschema.SamplesV4TableName))
samplesSb.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, telemetrymetrics.SamplesV4TableName))
samplesSb.Where(
samplesSb.In("fingerprint", fingerprints...),
samplesSb.E("metric_name", req.MetricName),
@@ -717,7 +717,7 @@ func (m *module) fetchUpdatedMetadata(ctx context.Context, orgID valuer.UUID, me
"argMax(temporality, created_at) AS temporality",
"argMax(is_monotonic, created_at) AS is_monotonic",
)
sb.From(fmt.Sprintf("%s.%s", metricstelemetryschema.DBName, metricstelemetryschema.UpdatedMetadataTableName))
sb.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, telemetrymetrics.UpdatedMetadataTableName))
sb.Where(sb.In("metric_name", args...))
sb.GroupBy("metric_name")
@@ -777,7 +777,7 @@ func (m *module) fetchTimeseriesMetadata(ctx context.Context, orgID valuer.UUID,
"anyLast(temporality) AS temporality",
"argMax(is_monotonic, unix_milli) AS is_monotonic",
)
sb.From(fmt.Sprintf("%s.%s", metricstelemetryschema.DBName, metricstelemetryschema.TimeseriesV4TableName))
sb.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, telemetrymetrics.TimeseriesV4TableName))
sb.Where(sb.In("metric_name", args...))
sb.GroupBy("metric_name")
@@ -891,7 +891,7 @@ func (m *module) checkForLabelInMetric(ctx context.Context, metricName string, l
sb := sqlbuilder.NewSelectBuilder()
sb.Select("count(*) > 0 AS has_label")
sb.From(fmt.Sprintf("%s.%s", metricstelemetryschema.DBName, metricstelemetryschema.AttributesMetadataTableName))
sb.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, telemetrymetrics.AttributesMetadataTableName))
sb.Where(sb.E("metric_name", metricName))
sb.Where(sb.E("attr_name", label))
sb.Limit(1)
@@ -914,7 +914,7 @@ func (m *module) insertMetricsMetadata(ctx context.Context, orgID valuer.UUID, r
createdAt := time.Now().UnixMilli()
ib := sqlbuilder.NewInsertBuilder()
ib.InsertInto(fmt.Sprintf("%s.%s", metricstelemetryschema.DBName, metricstelemetryschema.UpdatedMetadataTableName))
ib.InsertInto(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, telemetrymetrics.UpdatedMetadataTableName))
ib.Cols("metric_name", "temporality", "is_monotonic", "type", "description", "unit", "created_at")
ib.Values(
req.MetricName,
@@ -1016,9 +1016,9 @@ func (m *module) fetchMetricsStatsWithSamples(
}
}
start, end, distributedTsTable, localTsTable := metricstelemetryschema.WhichTSTableToUse(uint64(req.Start), uint64(req.End), false, nil)
distributedSamplesTable, _ := metricstelemetryschema.WhichSamplesTableToUse(uint64(req.Start), uint64(req.End), metrictypes.UnspecifiedType, metrictypes.TimeAggregationUnspecified, false, nil)
countExp := metricstelemetryschema.CountExpressionForSamplesTable(distributedSamplesTable)
start, end, distributedTsTable, localTsTable := telemetrymetrics.WhichTSTableToUse(uint64(req.Start), uint64(req.End), false, nil)
distributedSamplesTable, _ := telemetrymetrics.WhichSamplesTableToUse(uint64(req.Start), uint64(req.End), metrictypes.UnspecifiedType, metrictypes.TimeAggregationUnspecified, false, nil)
countExp := telemetrymetrics.CountExpressionForSamplesTable(distributedSamplesTable)
// Timeseries counts per metric
tsSB := sqlbuilder.NewSelectBuilder()
@@ -1026,7 +1026,7 @@ func (m *module) fetchMetricsStatsWithSamples(
"metric_name",
"uniq(fingerprint) AS timeseries",
)
tsSB.From(fmt.Sprintf("%s.%s", metricstelemetryschema.DBName, distributedTsTable))
tsSB.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, distributedTsTable))
tsSB.Where(tsSB.Between("unix_milli", start, end))
tsSB.Where("NOT startsWith(metric_name, 'signoz')")
if filterWhereClause != nil {
@@ -1040,7 +1040,7 @@ func (m *module) fetchMetricsStatsWithSamples(
"metric_name",
fmt.Sprintf("%s AS samples", countExp),
)
samplesSB.From(fmt.Sprintf("%s.%s", metricstelemetryschema.DBName, distributedSamplesTable))
samplesSB.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, distributedSamplesTable))
samplesSB.Where(samplesSB.Between("unix_milli", req.Start, req.End))
samplesSB.Where("NOT startsWith(metric_name, 'signoz')")
@@ -1053,7 +1053,7 @@ func (m *module) fetchMetricsStatsWithSamples(
if filterWhereClause != nil {
fingerprintSB := sqlbuilder.NewSelectBuilder()
fingerprintSB.Select("fingerprint")
fingerprintSB.From(fmt.Sprintf("%s.%s", metricstelemetryschema.DBName, localTsTable))
fingerprintSB.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, localTsTable))
fingerprintSB.Where(fingerprintSB.Between("unix_milli", start, end))
fingerprintSB.Where("NOT startsWith(metric_name, 'signoz')")
fingerprintSB.AddWhereClause(sqlbuilder.CopyWhereClause(filterWhereClause))
@@ -1064,7 +1064,7 @@ func (m *module) fetchMetricsStatsWithSamples(
} else {
metricNamesSB := sqlbuilder.NewSelectBuilder()
metricNamesSB.Select("DISTINCT metric_name")
metricNamesSB.From(fmt.Sprintf("%s.%s", metricstelemetryschema.DBName, localTsTable))
metricNamesSB.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, localTsTable))
metricNamesSB.Where(metricNamesSB.Between("unix_milli", start, end))
metricNamesSB.Where("NOT startsWith(metric_name, 'signoz')")
@@ -1090,18 +1090,18 @@ func (m *module) fetchMetricsStatsWithSamples(
// the data lands either of the _reduced_last/_reduced_sum tables
reducedLastSB := sqlbuilder.NewSelectBuilder()
reducedLastSB.Select("metric_name", "uniq(reduced_fingerprint, unix_milli) AS cnt")
reducedLastSB.From(fmt.Sprintf("%s.%s", metricstelemetryschema.DBName, metricstelemetryschema.SamplesV4ReducedLastTableName))
reducedLastSB.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, telemetrymetrics.SamplesV4ReducedLastTableName))
reducedLastSB.Where(reducedLastSB.Between("unix_milli", req.Start, req.End))
reducedLastSB.Where("NOT startsWith(metric_name, 'signoz')")
reducedSumSB := sqlbuilder.NewSelectBuilder()
reducedSumSB.Select("metric_name", "uniq(reduced_fingerprint, unix_milli) AS cnt")
reducedSumSB.From(fmt.Sprintf("%s.%s", metricstelemetryschema.DBName, metricstelemetryschema.SamplesV4ReducedSumTableName))
reducedSumSB.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, telemetrymetrics.SamplesV4ReducedSumTableName))
reducedSumSB.Where(reducedSumSB.Between("unix_milli", req.Start, req.End))
reducedSumSB.Where("NOT startsWith(metric_name, 'signoz')")
// separate query for reduced series counts
reducedTsSB.From(fmt.Sprintf("%s.%s", metricstelemetryschema.DBName, metricstelemetryschema.TimeseriesV4ReducedTableName))
reducedTsSB.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, telemetrymetrics.TimeseriesV4ReducedTableName))
reducedTsSB.Where(reducedTsSB.Between("unix_milli", start, end))
reducedTsSB.Where("NOT startsWith(metric_name, 'signoz')")
reducedTsSB.GroupBy("metric_name")
@@ -1112,7 +1112,7 @@ func (m *module) fetchMetricsStatsWithSamples(
// samples uses a separate cte with local table
reducedFpSB := sqlbuilder.NewSelectBuilder()
reducedFpSB.Select("fingerprint")
reducedFpSB.From(fmt.Sprintf("%s.%s", metricstelemetryschema.DBName, metricstelemetryschema.TimeseriesV4ReducedLocalTableName))
reducedFpSB.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, telemetrymetrics.TimeseriesV4ReducedLocalTableName))
reducedFpSB.Where(reducedFpSB.Between("unix_milli", start, end))
reducedFpSB.Where("NOT startsWith(metric_name, 'signoz')")
reducedFpSB.AddWhereClause(sqlbuilder.CopyWhereClause(filterWhereClause))
@@ -1220,11 +1220,11 @@ func (m *module) computeTimeseriesTreemap(ctx context.Context, orgID valuer.UUID
}
}
start, end, distributedTsTable, _ := metricstelemetryschema.WhichTSTableToUse(uint64(req.Start), uint64(req.End), false, nil)
start, end, distributedTsTable, _ := telemetrymetrics.WhichTSTableToUse(uint64(req.Start), uint64(req.End), false, nil)
totalTSBuilder := sqlbuilder.NewSelectBuilder()
totalTSBuilder.Select("uniq(fingerprint) AS total_time_series")
totalTSBuilder.From(fmt.Sprintf("%s.%s", metricstelemetryschema.DBName, distributedTsTable))
totalTSBuilder.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, distributedTsTable))
totalTSBuilder.Where(totalTSBuilder.Between("unix_milli", start, end))
metricsSB := sqlbuilder.NewSelectBuilder()
@@ -1232,7 +1232,7 @@ func (m *module) computeTimeseriesTreemap(ctx context.Context, orgID valuer.UUID
"metric_name",
"uniq(fingerprint) AS total_value",
)
metricsSB.From(fmt.Sprintf("%s.%s", metricstelemetryschema.DBName, distributedTsTable))
metricsSB.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, distributedTsTable))
metricsSB.Where(metricsSB.Between("unix_milli", start, end))
metricsSB.Where("NOT startsWith(metric_name, 'signoz')")
if filterWhereClause != nil {
@@ -1244,7 +1244,7 @@ func (m *module) computeTimeseriesTreemap(ctx context.Context, orgID valuer.UUID
if reductionEnabled {
reducedTotalTSBuilder := sqlbuilder.NewSelectBuilder()
reducedTotalTSBuilder.Select("uniq(fingerprint) AS total_time_series")
reducedTotalTSBuilder.From(fmt.Sprintf("%s.%s", metricstelemetryschema.DBName, metricstelemetryschema.TimeseriesV4ReducedTableName))
reducedTotalTSBuilder.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, telemetrymetrics.TimeseriesV4ReducedTableName))
reducedTotalTSBuilder.Where(reducedTotalTSBuilder.Between("unix_milli", start, end))
reducedMetricsSB := sqlbuilder.NewSelectBuilder()
@@ -1252,7 +1252,7 @@ func (m *module) computeTimeseriesTreemap(ctx context.Context, orgID valuer.UUID
"metric_name",
"uniq(fingerprint) AS total_value",
)
reducedMetricsSB.From(fmt.Sprintf("%s.%s", metricstelemetryschema.DBName, metricstelemetryschema.TimeseriesV4ReducedTableName))
reducedMetricsSB.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, telemetrymetrics.TimeseriesV4ReducedTableName))
reducedMetricsSB.Where(reducedMetricsSB.Between("unix_milli", start, end))
reducedMetricsSB.Where("NOT startsWith(metric_name, 'signoz')")
if filterWhereClause != nil {
@@ -1338,15 +1338,15 @@ func (m *module) computeSamplesTreemap(ctx context.Context, orgID valuer.UUID, r
}
}
start, end, distributedTsTable, localTsTable := metricstelemetryschema.WhichTSTableToUse(uint64(req.Start), uint64(req.End), false, nil)
distributedSamplesTable, _ := metricstelemetryschema.WhichSamplesTableToUse(uint64(req.Start), uint64(req.End), metrictypes.UnspecifiedType, metrictypes.TimeAggregationUnspecified, false, nil)
countExp := metricstelemetryschema.CountExpressionForSamplesTable(distributedSamplesTable)
start, end, distributedTsTable, localTsTable := telemetrymetrics.WhichTSTableToUse(uint64(req.Start), uint64(req.End), false, nil)
distributedSamplesTable, _ := telemetrymetrics.WhichSamplesTableToUse(uint64(req.Start), uint64(req.End), metrictypes.UnspecifiedType, metrictypes.TimeAggregationUnspecified, false, nil)
countExp := telemetrymetrics.CountExpressionForSamplesTable(distributedSamplesTable)
candidateLimit := req.Limit + 50
metricCandidatesSB := sqlbuilder.NewSelectBuilder()
metricCandidatesSB.Select("metric_name")
metricCandidatesSB.From(fmt.Sprintf("%s.%s", metricstelemetryschema.DBName, distributedTsTable))
metricCandidatesSB.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, distributedTsTable))
metricCandidatesSB.Where("NOT startsWith(metric_name, 'signoz')")
metricCandidatesSB.Where(metricCandidatesSB.Between("unix_milli", start, end))
if filterWhereClause != nil {
@@ -1364,7 +1364,7 @@ func (m *module) computeSamplesTreemap(ctx context.Context, orgID valuer.UUID, r
if reductionEnabled {
reducedCandidatesSB = sqlbuilder.NewSelectBuilder()
reducedCandidatesSB.Select("metric_name")
reducedCandidatesSB.From(fmt.Sprintf("%s.%s", metricstelemetryschema.DBName, metricstelemetryschema.TimeseriesV4ReducedTableName))
reducedCandidatesSB.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, telemetrymetrics.TimeseriesV4ReducedTableName))
reducedCandidatesSB.Where("NOT startsWith(metric_name, 'signoz')")
reducedCandidatesSB.Where(reducedCandidatesSB.Between("unix_milli", start, end))
if filterWhereClause != nil {
@@ -1379,7 +1379,7 @@ func (m *module) computeSamplesTreemap(ctx context.Context, orgID valuer.UUID, r
totalSamplesSB := sqlbuilder.NewSelectBuilder()
totalSamplesSB.Select(fmt.Sprintf("%s AS total_samples", countExp))
totalSamplesSB.From(fmt.Sprintf("%s.%s", metricstelemetryschema.DBName, distributedSamplesTable))
totalSamplesSB.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, distributedSamplesTable))
totalSamplesSB.Where(totalSamplesSB.Between("unix_milli", req.Start, req.End))
sampleCountsSB := sqlbuilder.NewSelectBuilder()
@@ -1387,7 +1387,7 @@ func (m *module) computeSamplesTreemap(ctx context.Context, orgID valuer.UUID, r
"metric_name",
fmt.Sprintf("%s AS samples", countExp),
)
sampleCountsSB.From(fmt.Sprintf("%s.%s", metricstelemetryschema.DBName, distributedSamplesTable))
sampleCountsSB.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, distributedSamplesTable))
sampleCountsSB.Where(sampleCountsSB.Between("unix_milli", req.Start, req.End))
sampleCountsSB.Where("metric_name GLOBAL IN (SELECT metric_name FROM __metric_candidates)")
@@ -1397,13 +1397,13 @@ func (m *module) computeSamplesTreemap(ctx context.Context, orgID valuer.UUID, r
if reductionEnabled {
reducedLastSB = sqlbuilder.NewSelectBuilder()
reducedLastSB.Select("metric_name", "uniq(reduced_fingerprint, unix_milli) AS cnt")
reducedLastSB.From(fmt.Sprintf("%s.%s", metricstelemetryschema.DBName, metricstelemetryschema.SamplesV4ReducedLastTableName))
reducedLastSB.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, telemetrymetrics.SamplesV4ReducedLastTableName))
reducedLastSB.Where(reducedLastSB.Between("unix_milli", req.Start, req.End))
reducedLastSB.Where("metric_name GLOBAL IN (SELECT metric_name FROM __reduced_metric_candidates)")
reducedSumSB = sqlbuilder.NewSelectBuilder()
reducedSumSB.Select("metric_name", "uniq(reduced_fingerprint, unix_milli) AS cnt")
reducedSumSB.From(fmt.Sprintf("%s.%s", metricstelemetryschema.DBName, metricstelemetryschema.SamplesV4ReducedSumTableName))
reducedSumSB.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, telemetrymetrics.SamplesV4ReducedSumTableName))
reducedSumSB.Where(reducedSumSB.Between("unix_milli", req.Start, req.End))
reducedSumSB.Where("metric_name GLOBAL IN (SELECT metric_name FROM __reduced_metric_candidates)")
}
@@ -1411,7 +1411,7 @@ func (m *module) computeSamplesTreemap(ctx context.Context, orgID valuer.UUID, r
if filterWhereClause != nil {
fingerprintSB := sqlbuilder.NewSelectBuilder()
fingerprintSB.Select("fingerprint")
fingerprintSB.From(fmt.Sprintf("%s.%s", metricstelemetryschema.DBName, localTsTable))
fingerprintSB.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, localTsTable))
fingerprintSB.Where(fingerprintSB.Between("unix_milli", start, end))
fingerprintSB.Where("NOT startsWith(metric_name, 'signoz')")
fingerprintSB.AddWhereClause(sqlbuilder.CopyWhereClause(filterWhereClause))
@@ -1423,7 +1423,7 @@ func (m *module) computeSamplesTreemap(ctx context.Context, orgID valuer.UUID, r
if reductionEnabled {
reducedFingerprintSB := sqlbuilder.NewSelectBuilder()
reducedFingerprintSB.Select("fingerprint")
reducedFingerprintSB.From(fmt.Sprintf("%s.%s", metricstelemetryschema.DBName, metricstelemetryschema.TimeseriesV4ReducedLocalTableName))
reducedFingerprintSB.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, telemetrymetrics.TimeseriesV4ReducedLocalTableName))
reducedFingerprintSB.Where(reducedFingerprintSB.Between("unix_milli", start, end))
reducedFingerprintSB.Where("NOT startsWith(metric_name, 'signoz')")
reducedFingerprintSB.AddWhereClause(sqlbuilder.CopyWhereClause(filterWhereClause))
@@ -1457,12 +1457,12 @@ func (m *module) computeSamplesTreemap(ctx context.Context, orgID valuer.UUID, r
// Grand total includes reduced sample volume so percentages stay consistent.
reducedTotalLastSB := sqlbuilder.NewSelectBuilder()
reducedTotalLastSB.Select("uniq(reduced_fingerprint, unix_milli) AS cnt")
reducedTotalLastSB.From(fmt.Sprintf("%s.%s", metricstelemetryschema.DBName, metricstelemetryschema.SamplesV4ReducedLastTableName))
reducedTotalLastSB.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, telemetrymetrics.SamplesV4ReducedLastTableName))
reducedTotalLastSB.Where(reducedTotalLastSB.Between("unix_milli", req.Start, req.End))
reducedTotalSumSB := sqlbuilder.NewSelectBuilder()
reducedTotalSumSB.Select("uniq(reduced_fingerprint, unix_milli) AS cnt")
reducedTotalSumSB.From(fmt.Sprintf("%s.%s", metricstelemetryschema.DBName, metricstelemetryschema.SamplesV4ReducedSumTableName))
reducedTotalSumSB.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, telemetrymetrics.SamplesV4ReducedSumTableName))
reducedTotalSumSB.Where(reducedTotalSumSB.Between("unix_milli", req.Start, req.End))
reducedTotalSamplesSB := sqlbuilder.NewSelectBuilder()
@@ -1552,7 +1552,7 @@ func (m *module) getMetricDataPoints(ctx context.Context, metricName string) (ui
sb := sqlbuilder.NewSelectBuilder()
sb.Select("sum(count) AS data_points")
sb.From(fmt.Sprintf("%s.%s", metricstelemetryschema.DBName, metricstelemetryschema.SamplesV4Agg30mTableName))
sb.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, telemetrymetrics.SamplesV4Agg30mTableName))
sb.Where(sb.E("metric_name", metricName))
query, args := sb.BuildWithFlavor(sqlbuilder.ClickHouse)
@@ -1574,7 +1574,7 @@ func (m *module) getMetricLastReceived(ctx context.Context, metricName string) (
sb := sqlbuilder.NewSelectBuilder()
sb.Select("MAX(last_reported_unix_milli) AS last_received_time")
sb.From(fmt.Sprintf("%s.%s", metricstelemetryschema.DBName, metricstelemetryschema.AttributesMetadataTableName))
sb.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, telemetrymetrics.AttributesMetadataTableName))
sb.Where(sb.E("metric_name", metricName))
query, args := sb.BuildWithFlavor(sqlbuilder.ClickHouse)
@@ -1599,7 +1599,7 @@ func (m *module) getTotalTimeSeriesForMetricName(ctx context.Context, metricName
sb := sqlbuilder.NewSelectBuilder()
sb.Select("uniq(fingerprint) AS time_series_count")
sb.From(fmt.Sprintf("%s.%s", metricstelemetryschema.DBName, metricstelemetryschema.TimeseriesV41weekTableName))
sb.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, telemetrymetrics.TimeseriesV41weekTableName))
sb.Where(sb.E("metric_name", metricName))
query, args := sb.BuildWithFlavor(sqlbuilder.ClickHouse)
@@ -1623,7 +1623,7 @@ func (m *module) getActiveTimeSeriesForMetricName(ctx context.Context, metricNam
sb := sqlbuilder.NewSelectBuilder()
sb.Select("uniq(fingerprint) AS active_time_series")
sb.From(fmt.Sprintf("%s.%s", metricstelemetryschema.DBName, metricstelemetryschema.TimeseriesV4TableName))
sb.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, telemetrymetrics.TimeseriesV4TableName))
sb.Where(sb.E("metric_name", metricName))
sb.Where(sb.GTE("unix_milli", milli))
@@ -1649,7 +1649,7 @@ func (m *module) fetchMetricAttributes(ctx context.Context, metricName string, s
"groupUniqArray(1000)(attr_string_value) AS values",
"uniq(attr_string_value) AS valueCount",
)
sb.From(fmt.Sprintf("%s.%s", metricstelemetryschema.DBName, metricstelemetryschema.AttributesMetadataTableName))
sb.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, telemetrymetrics.AttributesMetadataTableName))
sb.Where(sb.E("metric_name", metricName))
sb.Where("NOT startsWith(attr_name, '__')")

View File

@@ -9,7 +9,7 @@ import (
schemamigrator "github.com/SigNoz/signoz-otel-collector/cmd/signozschemamigrator/schema_migrator"
"github.com/SigNoz/signoz/pkg/errors"
"github.com/SigNoz/signoz/pkg/modules/promote"
"github.com/SigNoz/signoz/pkg/telemetryschema/logstelemetryschema"
"github.com/SigNoz/signoz/pkg/telemetrylogs"
"github.com/SigNoz/signoz/pkg/telemetrystore"
"github.com/SigNoz/signoz/pkg/types/ctxtypes"
"github.com/SigNoz/signoz/pkg/types/instrumentationtypes"
@@ -52,7 +52,7 @@ func (m *module) ListPromotedAndIndexedPaths(ctx context.Context) ([]promotetype
response := []promotetypes.PromotePath{}
for _, path := range promotedPaths {
fullPath := logstelemetryschema.BodyPromotedColumnPrefix + path
fullPath := telemetrylogs.BodyPromotedColumnPrefix + path
path = telemetrytypes.BodyJSONStringSearchPrefix + path
item := promotetypes.PromotePath{
Path: path,
@@ -68,7 +68,7 @@ func (m *module) ListPromotedAndIndexedPaths(ctx context.Context) ([]promotetype
// add the paths that are not promoted but have indexes
for path, indexes := range aggr {
path := strings.TrimPrefix(path, logstelemetryschema.BodyV2ColumnPrefix)
path := strings.TrimPrefix(path, telemetrylogs.BodyV2ColumnPrefix)
path = telemetrytypes.BodyJSONStringSearchPrefix + path
response = append(response, promotetypes.PromotePath{
Path: path,
@@ -108,8 +108,8 @@ func (m *module) createIndexes(ctx context.Context, indexes []schemamigrator.Ind
for _, index := range indexes {
alterStmt := schemamigrator.AlterTableAddIndex{
Database: logstelemetryschema.DBName,
Table: logstelemetryschema.LogsV2LocalTableName,
Database: telemetrylogs.DBName,
Table: telemetrylogs.LogsV2LocalTableName,
Index: index,
}
op := alterStmt.OnCluster(m.telemetryStore.Cluster())
@@ -153,10 +153,10 @@ func (m *module) PromoteAndIndexPaths(
}
}
if len(it.Indexes) > 0 {
parentColumn := logstelemetryschema.LogsV2BodyV2Column
parentColumn := telemetrylogs.LogsV2BodyV2Column
// if the path is already promoted or is being promoted, add it to the promoted column
if _, promoted := existingPromotedPaths[it.Path]; promoted || it.Promote {
parentColumn = logstelemetryschema.LogsV2BodyPromotedColumn
parentColumn = telemetrylogs.LogsV2BodyPromotedColumn
}
for _, index := range it.Indexes {

View File

@@ -11,8 +11,8 @@ import (
"github.com/SigNoz/signoz/pkg/errors"
"github.com/SigNoz/signoz/pkg/modules/services"
"github.com/SigNoz/signoz/pkg/querier"
"github.com/SigNoz/signoz/pkg/telemetryschema/tracestelemetryschema"
"github.com/SigNoz/signoz/pkg/telemetrystore"
"github.com/SigNoz/signoz/pkg/telemetrytraces"
"github.com/SigNoz/signoz/pkg/types/ctxtypes"
"github.com/SigNoz/signoz/pkg/types/instrumentationtypes"
qbtypes "github.com/SigNoz/signoz/pkg/types/querybuildertypes/querybuildertypesv5"
@@ -39,7 +39,7 @@ func (m *module) FetchTopLevelOperations(ctx context.Context, start time.Time, s
ctx = m.withServicesContext(ctx, "FetchTopLevelOperations")
db := m.TelemetryStore.ClickhouseDB()
query := fmt.Sprintf("SELECT name, serviceName, max(time) as ts FROM %s.%s WHERE time >= @start", tracestelemetryschema.DBName, tracestelemetryschema.TopLevelOperationsTableName)
query := fmt.Sprintf("SELECT name, serviceName, max(time) as ts FROM %s.%s WHERE time >= @start", telemetrytraces.DBName, telemetrytraces.TopLevelOperationsTableName)
args := []any{clickhouse.Named("start", start)}
if len(services) > 0 {
query += " AND serviceName IN @services"

View File

@@ -0,0 +1,85 @@
package clickhouseprometheusv2
import (
"context"
"sync"
"github.com/SigNoz/signoz/pkg/prometheus"
"github.com/prometheus/prometheus/model/labels"
"github.com/prometheus/prometheus/storage"
"github.com/prometheus/prometheus/util/annotations"
)
// statementRecorder collects the statements a PromQL evaluation would run.
// Safe for concurrent use: the engine may Select selectors concurrently.
type statementRecorder struct {
mu sync.Mutex
statements []prometheus.CapturedStatement
}
func (r *statementRecorder) record(query string, args []any) {
r.mu.Lock()
defer r.mu.Unlock()
r.statements = append(r.statements, prometheus.CapturedStatement{Query: query, Args: args})
}
func (r *statementRecorder) Statements() []prometheus.CapturedStatement {
r.mu.Lock()
defer r.mu.Unlock()
out := make([]prometheus.CapturedStatement, len(r.statements))
copy(out, r.statements)
return out
}
type captureQueryable struct {
client *client
recorder *statementRecorder
}
func (c *captureQueryable) Querier(mint, maxt int64) (storage.Querier, error) {
return &captureQuerier{
querier: querier{mint: mint, maxt: maxt, client: c.client},
recorder: c.recorder,
}, nil
}
// captureQuerier builds the same SQL as the live querier but records it and
// returns no data. The fingerprint filter always takes the subquery form:
// without executing the series lookup, the inline literal set is unknown.
type captureQuerier struct {
querier
recorder *statementRecorder
}
func (c *captureQuerier) Select(ctx context.Context, _ bool, hints *storage.SelectHints, matchers ...*labels.Matcher) storage.SeriesSet {
start, end := c.window(hints)
samplesQuery, args, err := buildSamplesQuery(start, end, metricNamesFromMatchers(matchers), matchers, c.lastSamplePerStepFor(ctx, hints))
if err != nil {
return storage.ErrSeriesSet(err)
}
c.recorder.record(samplesQuery, args)
return storage.EmptySeriesSet()
}
func (c *captureQuerier) LabelValues(context.Context, string, *storage.LabelHints, ...*labels.Matcher) ([]string, annotations.Annotations, error) {
return nil, nil, nil
}
func (c *captureQuerier) LabelNames(context.Context, *storage.LabelHints, ...*labels.Matcher) ([]string, annotations.Annotations, error) {
return nil, nil, nil
}
// metricNamesFromMatchers extracts the statically known metric name, if any.
// The live path derives names from the matched series; the capture path has
// no execution results, so only a __name__ equality contributes.
func metricNamesFromMatchers(matchers []*labels.Matcher) []string {
for _, m := range matchers {
if m.Name == metricNameLabel && m.Type == labels.MatchEqual && m.Value != "" {
return []string{m.Value}
}
}
return nil
}

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package clickhouseprometheusv2
import (
"encoding/json"
"flag"
"os"
"path/filepath"
"sort"
"testing"
"github.com/prometheus/prometheus/promql/parser"
"github.com/stretchr/testify/require"
)
var updateGolden = flag.Bool("update", false, "rewrite the classification golden file")
const goldenFile = "testdata/classification_golden.json"
// corpusFile is the conformance corpus the integration suite replays; the
// golden freezes how the classifier routes every one of its expressions.
const corpusFile = "../../../tests/integration/testdata/promqltestcorpus/corpus.json"
type goldenEntry struct {
Expr string `json:"expr"`
StartMs int64 `json:"start_ms"`
EndMs int64 `json:"end_ms"`
StepMs int64 `json:"step_ms"`
// Plan is the routing decision: "full" (whole query in ClickHouse),
// "hybrid" (units substituted, engine on top), "fallback" (engine over
// the native querier).
Plan string `json:"plan"`
// Units is the substituted-unit count for hybrid plans.
Units int `json:"units,omitempty"`
// Reason is the coarse fallback bucket (fallbackShape).
Reason string `json:"reason,omitempty"`
}
// TestClassificationGolden freezes the classifier's routing decision for
// every (expression, grid) of the conformance corpus. Routing is a
// correctness surface of its own: a change that silently sends rate() to the
// engine path costs the pushdown, and one that silently starts transpiling a
// shape never proven equivalent risks wrong numbers — both must show up in
// review as a diff of this file, with the corpus suite's clickhousev2 leg
// judging whether the new routing still returns the reference answers.
//
// Regenerate after intentional classifier changes:
//
// go test ./pkg/prometheus/clickhouseprometheusv2 -run TestClassificationGolden -update
func TestClassificationGolden(t *testing.T) {
raw, err := os.ReadFile(corpusFile)
require.NoError(t, err)
var corpus struct {
Cases []struct {
Expr string `json:"expr"`
StartMs int64 `json:"start_ms"`
EndMs int64 `json:"end_ms"`
StepMs int64 `json:"step_ms"`
} `json:"cases"`
}
require.NoError(t, json.Unmarshal(raw, &corpus))
require.NotEmpty(t, corpus.Cases)
promParser := parser.NewParser(parser.Options{})
seen := map[goldenEntry]bool{}
var entries []goldenEntry
for _, c := range corpus.Cases {
key := goldenEntry{Expr: c.Expr, StartMs: c.StartMs, EndMs: c.EndMs, StepMs: c.StepMs}
if seen[key] {
continue
}
seen[key] = true
expr, err := promParser.ParseExpr(c.Expr)
require.NoError(t, err, "corpus expression must parse: %q", c.Expr)
entry := key
plan, ok := classify(expr, gridContext{startMs: c.StartMs, endMs: c.EndMs, stepMs: c.StepMs})
switch {
case ok && plan.full:
entry.Plan = "full"
case ok:
entry.Plan = "hybrid"
entry.Units = len(plan.units)
default:
entry.Plan = "fallback"
entry.Reason = fallbackShape(expr)
}
entries = append(entries, entry)
}
sort.Slice(entries, func(i, j int) bool {
a, b := entries[i], entries[j]
if a.Expr != b.Expr {
return a.Expr < b.Expr
}
if a.StartMs != b.StartMs {
return a.StartMs < b.StartMs
}
if a.EndMs != b.EndMs {
return a.EndMs < b.EndMs
}
return a.StepMs < b.StepMs
})
got, err := json.MarshalIndent(entries, "", " ")
require.NoError(t, err)
got = append(got, '\n')
if *updateGolden {
require.NoError(t, os.MkdirAll(filepath.Dir(goldenFile), 0o755))
require.NoError(t, os.WriteFile(goldenFile, got, 0o644))
return
}
want, err := os.ReadFile(goldenFile)
require.NoError(t, err, "golden missing — generate it with -update")
require.Equal(t, string(want), string(got),
"classification routing changed; if intentional, regenerate with -update and justify the diff in review")
}

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package clickhouseprometheusv2
import (
"context"
"encoding/json"
"log/slog"
"math"
"slices"
"github.com/SigNoz/signoz/pkg/factory"
"github.com/SigNoz/signoz/pkg/prometheus"
"github.com/SigNoz/signoz/pkg/telemetrystore"
"github.com/SigNoz/signoz/pkg/types/ctxtypes"
"github.com/SigNoz/signoz/pkg/types/instrumentationtypes"
"github.com/SigNoz/signoz/pkg/types/telemetrytypes"
"github.com/prometheus/prometheus/model/labels"
promValue "github.com/prometheus/prometheus/model/value"
)
// seriesLookup holds a series lookup's result: matched fingerprints with
// their labels, and the distinct metric names seen on them.
type seriesLookup struct {
fingerprints map[uint64]labels.Labels
metricNames []string
}
// client executes the series, samples and raw queries against ClickHouse.
type client struct {
settings factory.ScopedProviderSettings
telemetryStore telemetrystore.TelemetryStore
lookbackMs int64
}
func newClient(settings factory.ScopedProviderSettings, telemetryStore telemetrystore.TelemetryStore, cfg prometheus.Config) *client {
lookback := cfg.LookbackDelta
if lookback <= 0 {
// Mirror the engine: promql defaults an unset lookback to 5m.
lookback = defaultLookbackDelta
}
return &client{
settings: settings,
telemetryStore: telemetryStore,
lookbackMs: lookback.Milliseconds(),
}
}
func (c *client) withContext(ctx context.Context, functionName string) context.Context {
return ctxtypes.NewContextWithCommentVals(ctx, map[string]string{
instrumentationtypes.TelemetrySignal: telemetrytypes.SignalMetrics.StringValue(),
instrumentationtypes.CodeNamespace: "clickhouse-prometheus-v2",
instrumentationtypes.CodeFunctionName: functionName,
})
}
func (c *client) selectSeries(ctx context.Context, query string, args []any) (*seriesLookup, error) {
ctx = c.withContext(ctx, "selectSeries")
rows, err := c.telemetryStore.ClickhouseDB().Query(ctx, query, args...)
if err != nil {
return nil, err
}
defer rows.Close()
lookup := &seriesLookup{fingerprints: make(map[uint64]labels.Labels)}
names := make(map[string]struct{})
var fingerprint uint64
var labelsJSON string
for rows.Next() {
if err := rows.Scan(&fingerprint, &labelsJSON); err != nil {
return nil, err
}
lset, err := unmarshalLabels(labelsJSON)
if err != nil {
return nil, err
}
lookup.fingerprints[fingerprint] = lset
if name := lset.Get(metricNameLabel); name != "" {
names[name] = struct{}{}
}
}
if err := rows.Err(); err != nil {
return nil, err
}
for name := range names {
lookup.metricNames = append(lookup.metricNames, name)
}
slices.Sort(lookup.metricNames)
return lookup, nil
}
// unmarshalLabels parses the labels JSON column, dropping empty-valued
// labels: empty means "absent" in Prometheus, but stored attribute JSON can
// carry them.
func unmarshalLabels(s string) (labels.Labels, error) {
m := make(map[string]string)
if err := json.Unmarshal([]byte(s), &m); err != nil {
return labels.EmptyLabels(), err
}
builder := labels.NewScratchBuilder(len(m))
for k, v := range m {
if v == "" {
continue
}
builder.Add(k, v)
}
builder.Sort()
return builder.Labels(), nil
}
// selectSamples assembles per-series sample slices from a samples query (raw
// or last-sample-per-step; same column shape), whose rows arrive ordered by
// (fingerprint, unix_milli). Fingerprints missing from the lookup are skipped:
// the samples query's semi-join re-runs the series predicates and can match
// series registered after the lookup ran — the lookup is the read snapshot.
// Stale flags map to the engine's StaleNaN. Duplicate
// timestamps pass through: uniqueness is ingest's job, and v1 feeds them to
// the engine as-is over the same dirty data.
func (c *client) selectSamples(ctx context.Context, query string, args []any, lookup *seriesLookup) ([]*series, error) {
ctx = c.withContext(ctx, "selectSamples")
rows, err := c.telemetryStore.ClickhouseDB().Query(ctx, query, args...)
if err != nil {
return nil, err
}
defer rows.Close()
var (
result []*series
current *series
fingerprint uint64
prevFp uint64
timestampMs int64
val float64
flags uint32
first = true
haveCurrent bool
staleMarker = math.Float64frombits(promValue.StaleNaN)
unknownCount int
)
for rows.Next() {
if err := rows.Scan(&fingerprint, &timestampMs, &val, &flags); err != nil {
return nil, err
}
if first || fingerprint != prevFp {
first = false
prevFp = fingerprint
lset, ok := lookup.fingerprints[fingerprint]
if !ok {
unknownCount++
haveCurrent = false
continue
}
current = &series{lset: lset}
result = append(result, current)
haveCurrent = true
}
if !haveCurrent {
continue
}
if flags&1 == 1 {
val = staleMarker
}
current.ts = append(current.ts, timestampMs)
current.vs = append(current.vs, val)
}
if err := rows.Err(); err != nil {
return nil, err
}
if unknownCount > 0 {
c.settings.Logger().DebugContext(ctx, "skipped samples of fingerprints missing from series lookup",
slog.Int("unknown_fingerprints", unknownCount))
}
return result, nil
}

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// Package clickhouseprometheusv2 is the second-generation ClickHouse-backed
// Prometheus provider. It exists because the v1 provider fetches every raw
// sample of a query's union window through the remote-read protobuf layer
// and hands it to the engine — the cost is a function of ingested data, not
// of the question asked, which is how a dashboard of PromQL panels takes an
// instance down.
//
// Every query runs in one of two ways, decided per query:
//
// - Transpiled: the query is evaluated entirely inside ClickHouse and only
// final (or near-final) per-group grid arrays come back, built on the
// timeSeries*ToGrid aggregate functions (the supported ClickHouse floor
// is >= 25.6, so they are assumed available).
// - Engine: the stock promql engine evaluates over this package's native
// storage.Querier. This is the path for everything not transpilable.
//
// Correctness is the constraint that shaped both paths: a PromQL result that
// differs from upstream Prometheus is a lost user, so anything that cannot
// reproduce engine semantics exactly falls back rather than approximate.
// The rest of this comment is the PromQL -> SQL story, because that mapping
// is where correctness is won or lost.
//
// # The evaluation model the SQL must reproduce
//
// A PromQL range query is an instant query evaluated at every grid point
// t_i = start + i*step, i = 0..(end-start)/step. At each t_i:
//
// - an instant selector resolves to the latest sample in the left-open
// lookback window (t_i - lookback, t_i], and to nothing when that latest
// sample is a stale marker — even if older real samples sit inside the
// window;
// - a range selector [r] collects every sample in (t_i - r, t_i], stale
// markers excluded;
// - offset d shifts both windows to (t_i - d - w, t_i - d].
//
// The transpilation invariant follows from this: every transpiled construct
// produces, per output series, one array with exactly one slot per grid
// point — slot i holds the value at t_i, NULL means absent. This is what
// makes composition correct, not just convenient: the engine evaluates
// these operators independently per t_i, so any representation that gets
// every slot right gets the whole query right, and spatial aggregation over
// arrays is sound because it combines values that belong to the same t_i by
// construction. Slot index i maps back to t_i = start + i*step at scan time
// (toMatrix). Everything below is about filling those slots with exactly
// the numbers the engine would compute — and each equivalence was validated
// against the vendored engine on live data before its shape entered the
// allowlist; anything unproven stays on the engine path.
//
// # Classification: finding what a statement can answer
//
// classify walks the parsed AST looking for "core units" — maximal subtrees
// of the shape
//
// [agg by/without (...)] [fn(] selector[range] [offset d] [)] [op scalar]...
//
// classifyCore peels that chain from the outside in: an optional
// sum/min/max/avg/count aggregation, then one of the allowlisted functions
// or a bare instant selector, then the selector with its offset; on the way
// out it accumulates number-literal arithmetic, comparisons (including
// bool) and unary minus into a scalar-op pipeline. A node qualifies only if
// its type, arguments and children are in the proven set — an allowlist, so
// an overlooked construct becomes a fallback instead of a wrong number.
//
// Three unit kinds come out of this, each with its own SQL form:
// unitRange (rate, irate, increase, delta, idelta over a range selector),
// unitInstant (instant vector selection, bare or comparison-filtered) and
// unitOverTime (avg/min/max/sum/count/last _over_time).
//
// If the entire tree is one unit, the plan is "full": the statement's rows
// are the query result. Otherwise every maximal unit is cut out and replaced
// in the expression with a synthetic selector __signoz_transpiled_N__, and
// the rewritten expression runs in the engine over the units' materialized
// results ("hybrid") — histogram_quantile, topk, or/and/unless and vector
// matching keep exact engine semantics while their expensive inputs were
// aggregated server-side.
//
// Classification refuses when exact semantics cannot be guaranteed
// server-side: the @ modifier anywhere and default-resolution subqueries
// (their resolution is a server runtime setting the transpiler cannot see);
// duration expressions (offset step(), [range()], ...) anywhere — they are
// resolved into the selector's static fields only at evaluation time, so at
// classification time those fields still hold their zero values and
// transpiling would silently use the wrong offset or range;
// steps or ranges that are not whole seconds (the grid functions take
// whole-second parameters); grouping by or matching on __name__ in hybrid
// plans (the synthetic name would leak into results); name-keeping units —
// bare/comparison instant selectors and last_over_time keep their real
// __name__ (keepsName), which substitution would replace, so they transpile
// only as full plans; and every function outside the allowlist (changes,
// resets, quantile_over_time, absent, native-histogram functions, ...).
//
// Units inside a fixed-resolution subquery evaluate on the subquery's own
// grid instead of the query grid: epoch-aligned multiples of the resolution
// strictly after outerStart - offset - range, ending at outer end - offset —
// the exact derivation the engine uses, because a grid shifted by one step
// changes which samples every window sees.
//
// # From one unit to one statement
//
// buildUnitSQL renders each unit as a single statement. For
// sum by (pod) (rate(m{job="api"}[5m])) the skeleton is:
//
// SELECT gkey, sumForEach(grid) AS grid FROM (
// SELECT series.gkey AS gkey,
// timeSeriesRateToGrid(<start>, <end>, <step>, <range>)(fromUnixTimestamp64Milli(unix_milli), value) AS grid
// FROM signoz_metrics.distributed_samples_v4 AS points
// INNER JOIN (
// SELECT fingerprint, <group key expr> AS gkey
// FROM signoz_metrics.time_series_v4
// WHERE <series predicates>
// GROUP BY fingerprint, gkey
// ) AS series ON points.fingerprint = series.fingerprint
// WHERE metric_name = ? AND temporality IN ['Cumulative', 'Unspecified']
// AND points.fingerprint IN (<matched fingerprints>)
// AND unix_milli > <start - range> AND unix_milli <= <end>
// AND bitAnd(flags, 1) = 0
// GROUP BY points.fingerprint, series.gkey
// ) GROUP BY gkey
// SETTINGS allow_experimental_ts_to_grid_aggregate_function = 1
//
// Reading it inside out:
//
// The time window is the selector's semantics verbatim: strict > on the
// lower bound and <= on the upper is the left-open (t - w, t] rule, with the
// whole window shifted by the offset. bitAnd(flags, 1) = 0 drops stale
// markers, which PromQL excludes from range vectors.
//
// The inner GROUP BY computes one grid array per series.
// timeSeriesRateToGrid(start, end, step, range) is a parametric aggregate:
// fed (timestamp, value) pairs it produces Array(Nullable(Float64)) with one
// slot per grid point. Correct because it implements the engine's
// extrapolatedRate decision for decision — counter resets, the zero-point
// clamp, the extrapolation thresholds, the >= 2 samples rule, the left-open
// window — verified by feeding identical samples to both and comparing
// slot for slot: the only difference ever observed is the last bit
// (ClickHouse's C++ and Go round the same formula differently), which is
// the floating-point floor, not a semantic gap. irate/delta/idelta map to
// their own timeSeries*ToGrid functions with the same verification;
// increase has no function of its own and is emitted as
// arrayMap(x -> x * <range seconds>, <rate expr>), exact by definition —
// extrapolatedRate computes the same extrapolated delta for both and
// divides by the range only when isRate, so multiplying it back is the
// identity, not an approximation. The grid parameters are rendered as
// literals, not bound args — they are aggregate-function parameters — and
// the experimental gate rides as a SETTINGS clause on the statement itself
// so telemetrystore hooks cannot clobber it.
//
// The join annotates each series with its group key, in one of two forms.
// by (...) extracts each listed label as a plain column
// (JSONExtractString(labels, 'pod') AS g0) and groups on the columns
// directly: the projection is a known short list and the label names live
// in Go, so building, sorting and stringifying every label pair per row
// would be waste. Correct because column-tuple equality is label-set
// equality on the projection, and an extracted '' is the label being
// absent — Prometheus semantics for by() over missing labels, and empties
// are skipped when the columns turn back into labels. without and
// no-aggregation project a label SET that varies per series, so they get
// the canonical key: toJSONString of the sorted [label, value] pairs the
// unit projects (without excludes the listed labels plus __name__; no
// aggregation keeps everything, the name coming off in Go per the engine's
// name-dropping rules). There the sort is load-bearing — stored JSON key
// order is not canonical across fingerprints, and two orderings of the same
// labels must land in one group — empty values are filtered for the same
// absent-label reason, and the same string parses back into the output
// label set (labelsFromGroupKey).
//
// The outer GROUP BY is the spatial aggregation: sum/min/max/avg/count
// by/without become the -ForEach combinators. Element-wise aggregation over
// grid arrays is the engine's per-t_i aggregation, because slot i of every
// input array refers to the same t_i; the combinators skip NULLs, which is
// the engine aggregating only the series present at t_i, and an index where
// every series is absent stays NULL. Two edges need explicit handling:
// countForEach wraps in a mapping of 0 back to NULL, because a count over
// an all-absent index is an absent point, not 0; and a unit without
// aggregation still passes through maxForEach — the identity for the common
// one-fingerprint group, and a deterministic NULL-skipping merge when a
// regex __name__ selector collapses distinct metrics onto one projected
// label set. One caveat is inherent: summation order over series differs
// from the engine's, so spatial aggregates can differ in the last ULP —
// float addition is not associative; no ordering reproduces the engine's
// bit-exactly from inside a GROUP BY.
//
// # Instant selectors: staleness needs two aggregates
//
// unitInstant uses window = lookback and must reproduce the shadowing rule:
// the point is absent when the latest in-window sample is a stale marker.
// timeSeriesLastToGrid alone cannot express that — skipping stale rows in
// WHERE would resurrect the older real sample the marker was written to
// bury. So stale rows stay in the scan for this kind only, and the grid
// expression compares three aggregates per slot:
//
// arrayMap((tall, tok, vok) -> if(tall IS NULL OR tok IS NULL OR tall != tok, NULL, vok),
// timeSeriesLastToGrid(...)(ts, toFloat64(unix_milli)), -- last sample overall
// timeSeriesLastToGridIf(...)(ts, toFloat64(unix_milli), bitAnd(flags, 1) = 0), -- last non-stale, its timestamp
// timeSeriesLastToGridIf(...)(ts, value, bitAnd(flags, 1) = 0)) -- last non-stale, its value
//
// Correct by cases on a slot's window. No samples at all: both timestamp
// aggregates are NULL, the slot is NULL — absent, as the engine says. Latest
// sample non-stale: it is the latest overall and the latest non-stale, the
// timestamps agree, the slot takes its value — the engine's pick. Latest
// sample stale: the last-overall timestamp is the marker's, the
// last-non-stale timestamp is older (or NULL when only markers are in
// window), they disagree, the slot is NULL — the marker shadows, exactly
// the engine's rule. Timestamps are unique per series (ingest dedups), so
// timestamp equality identifies "the same sample" without ambiguity. The
// -If combinator's applicability to these experimental aggregates was
// probed before being trusted, not assumed.
//
// # Windowed *_over_time: whole buckets instead of a grid function
//
// avg/min/max/sum/count _over_time aggregate every raw sample in the window,
// and no timeSeries*ToGrid function computes them. (last_over_time is the
// exception: the last sample of a range vector — stale markers excluded from
// range vectors by PromQL, excluded here in WHERE — is exactly
// timeSeriesLastToGrid.) These transpile only when the range is a whole
// multiple of the step, and then the window needs no per-sample fan-out at
// all: with W = range/step, the window (t_k - range, t_k] is exactly the
// union of W step buckets — both are left-open on the same boundaries — so
// bucket membership fully determines window membership. Each sample lands
// in exactly one bucket by a plain GROUP BY:
//
// intDiv(unix_milli - <start> + <range> - 1, <step>) AS jj
//
// (ceil((ts - start)/step) shifted by W-1 so the earliest in-window sample
// sits at 0; slot k's window is buckets jj in [k, k+W-1]). The alternative —
// fanning each sample into all W windows that cover it — multiplies rows by
// W, which for a long range over a short step is a row explosion measured
// in billions; the bucketed form's row count is series x buckets, the size
// of the output, regardless of W.
//
// The shard level aggregates per (series, group key, bucket): a bucket
// count plus the function's value aggregate (sum for sum/avg, min, max).
// The assembly level places the partials into dense arrays
// (groupArrayInsertAt — positions are unique, one row per bucket; counts
// and sums default to 0, which contributes nothing) and slides: slot k
// combines its at-most-W bucket partials by direct aggregation, so window
// sums are added the way the engine adds them — no prefix-sum differencing,
// whose large-minus-large cancellation would drift past the shadow
// tolerance on counter-sized values. Correct per slot because the bucket
// union is the exact window multiset and avg/min/max/sum/count are
// order-insensitive on a multiset (sum/avg up to summation order, the float
// caveat above). A slot with zero window count is absent; min/max filter
// their slices on the bucket counts, so an empty bucket's default can never
// be mistaken for a value — a real sample can legitimately be +Inf.
//
// Ranges that don't divide the step, and windows wider than
// maxWindowBuckets buckets (the slide costs W combines per slot), fall back
// to the engine path, which is exact.
//
// # Scalar ops, full plans, hybrid plans
//
// The scalar-op pipeline applies in Go to the returned arrays
// (applyScalarOps), slot by slot: arithmetic operators compute, comparisons
// filter (the slot keeps the vector-side value or becomes NULL) or return
// 0/1 under bool. Correct trivially: it is the same float64 operation the
// engine would apply to the same slot value, in the same operator order the
// AST dictates — running it in Go instead of another SQL layer changes
// where, not what.
//
// A full plan's arrays map straight to the result matrix. A hybrid plan
// materializes each unit's arrays as synthetic series under its
// __signoz_transpiled_N__ name and evaluates the rewritten expression over
// a storage that serves synthetic names from memory and everything else
// live. Substitution is sound because a unit's output is a plain instant
// vector to the engine — same values at same timestamps under a different
// name, and the name cannot matter: plans that group by or match on
// __name__ were refused at classification, and name-keeping units are never
// substituted. One subtlety makes it exact: stale markers are written at
// absent grid points, because the engine's lookback would otherwise
// resurrect a point from up to lookback earlier — the marker encodes
// "absent here" the way the engine itself encodes it. Units evaluate
// concurrently; each is one series lookup plus one grid statement. A step
// of 0 is an instant query: a single evaluation at end.
//
// # Series lookup
//
// Both paths resolve matchers the same way, once per selector
// (selectSeries), against the series tables holding one row per
// (fingerprint, bucket) at 1h/6h/1d/1w granularities; timeSeriesTableFor
// picks the table whose bucket fits the window and rounds the window start
// down to the bucket boundary. How matchers become SQL, and why regexes are
// anchored, is documented at applySeriesConditions. Empty-valued labels come
// off at this boundary: an empty value means "label absent" in Prometheus,
// but stored attribute JSON can carry them.
//
// # The engine path
//
// Queries that do not transpile run in the stock engine over this package's
// storage.Querier, which is still not the v1 path. Samples are fetched per
// selector using the engine's per-selector hints, not the query-wide union
// window, so foo / foo offset 1d reads two narrow windows instead of the
// widest one twice. Instant selectors of subquery-free queries fetch only
// the last sample per step bucket (lastSamplePerStep): buckets anchor at the
// selector's first evaluation timestamp — recovered from the hints as
// hints.Start + lookback - 1ms, the inverse of how the engine derives
// hints.Start — so bucket boundaries coincide with evaluation timestamps and
// a non-final sample of a bucket can never be the latest sample in
// (t - lookback, t] for any grid t. Real timestamps are preserved, so the
// engine's own lookback and staleness handling stay exact. Range selectors
// always fetch raw — every sample feeds the range function — and the
// subquery-free proof travels in the context as prometheus.QueryTraits,
// because subquery selectors evaluate at the subquery's step while the
// hints carry the top-level step. Row assembly maps stale flags to the
// engine's StaleNaN and merges series with identical label sets
// (sortAndMerge) — the engine assumes storages never emit duplicates.
//
// # Sharding
//
// samples_v4 and time_series_v4 (and all their rollups) shard on the same
// key — cityHash64(env, temporality, metric_name, fingerprint) — so a
// series' samples and catalog rows live on the same shard. The transpiled
// statement above exploits that: the distributed samples table at the
// top-level FROM makes ClickHouse rewrite the whole inner query per shard,
// where the join against the shard-local series table and the per-series
// grid aggregation run next to the data; the initiator only merges
// aggregate states and applies the spatial -ForEach step. Same layout as
// the telemetrymetrics statement builder. The group-key join alone
// restricts the transpiled scan to the matched series; the engine path's
// samples fetch restricts by the same predicates as a shard-local
// semi-join, not a GLOBAL broadcast of the matched set. The temporality
// filter on every
// samples statement is a semantic no-op — the matched fingerprints already
// come from those temporalities — that engages the leading samples
// primary-key column. Delta-temporality series stay invisible to PromQL
// here exactly as they are in v1: the rollout gate is parity with v1, and
// making Delta visible is its own change with its own semantics to design —
// a Delta stream fed to rate() as-if-cumulative would be wrong, not just
// new.
//
// # Observability
//
// Every statement carries a log_comment with
// code.namespace=clickhouse-prometheus-v2 and code.function.name naming the
// call site (selectSeries, selectSamples, transpiledUnit, LabelValues,
// LabelNames), so this provider's work is attributable in system.query_log
// without guessing from query text.
package clickhouseprometheusv2

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package clickhouseprometheusv2
import (
"context"
"time"
"github.com/SigNoz/signoz/pkg/factory"
"github.com/SigNoz/signoz/pkg/prometheus"
"github.com/SigNoz/signoz/pkg/telemetrystore"
"github.com/prometheus/prometheus/promql"
"github.com/prometheus/prometheus/storage"
)
// Provider ties the package together: its own engine and parser, the
// ClickHouse client behind the native storage.Querier, and the transpiler
// executor. See the package documentation for what runs where and why. It is
// exported as a concrete type — pkg/querier holds it directly for shadow
// comparison and pinned serving, and an interface with a single
// implementation would only hide that dependency.
type Provider struct {
settings factory.ScopedProviderSettings
engine *prometheus.Engine
parser prometheus.Parser
client *client
executor *executor
}
var (
_ prometheus.Prometheus = (*Provider)(nil)
_ prometheus.StatementCapturer = (*Provider)(nil)
)
func NewFactory(telemetryStore telemetrystore.TelemetryStore) factory.ProviderFactory[prometheus.Prometheus, prometheus.Config] {
return factory.NewProviderFactory(factory.MustNewName("clickhousev2"), func(ctx context.Context, providerSettings factory.ProviderSettings, config prometheus.Config) (prometheus.Prometheus, error) {
return New(ctx, providerSettings, config, telemetryStore)
})
}
func New(_ context.Context, providerSettings factory.ProviderSettings, config prometheus.Config, telemetryStore telemetrystore.TelemetryStore) (*Provider, error) {
settings := factory.NewScopedProviderSettings(providerSettings, "github.com/SigNoz/signoz/pkg/prometheus/clickhouseprometheusv2")
engine := prometheus.NewEngine(settings.Logger(), config)
parser := prometheus.NewParser()
client := newClient(settings, telemetryStore, config)
return &Provider{
settings: settings,
engine: engine,
parser: parser,
client: client,
executor: &executor{client: client, engine: engine, parser: parser},
}, nil
}
// TryExecuteRange evaluates transpilable query shapes directly in ClickHouse
// (see transpiler.go). ok=false means the shape is not transpilable and the
// caller should evaluate through Engine over Storage instead.
func (p *Provider) TryExecuteRange(ctx context.Context, query string, start, end time.Time, step time.Duration) (promql.Matrix, bool, error) {
return p.executor.TryExecuteRange(ctx, query, start, end, step)
}
func (p *Provider) Engine() *prometheus.Engine {
return p.engine
}
func (p *Provider) Parser() prometheus.Parser {
return p.parser
}
func (p *Provider) Storage() storage.Queryable {
return p
}
func (p *Provider) Querier(mint, maxt int64) (storage.Querier, error) {
return &querier{mint: mint, maxt: maxt, client: p.client}, nil
}
// CapturingStorage implements prometheus.StatementCapturer: a storage that
// records each selector's SQL without executing it, for the preview path.
// A fresh recorder per call keeps concurrent dry-runs isolated.
func (p *Provider) CapturingStorage() (storage.Queryable, prometheus.StatementRecorder) {
recorder := &statementRecorder{}
return &captureQueryable{client: p.client, recorder: recorder}, recorder
}

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package clickhouseprometheusv2
import (
"context"
"fmt"
"slices"
"time"
"github.com/SigNoz/signoz/pkg/prometheus"
"github.com/huandu/go-sqlbuilder"
"github.com/prometheus/prometheus/model/labels"
"github.com/prometheus/prometheus/storage"
"github.com/prometheus/prometheus/util/annotations"
)
// defaultLookbackDelta mirrors promql's default when the config leaves the
// lookback unset; the engine and the storage must agree on it for
// last-sample-per-step bucket anchoring.
const defaultLookbackDelta = 5 * time.Minute
// querier is a native storage.Querier over ClickHouse: Select builds SQL
// directly from the matchers and hints, with no remote-read protobuf layer.
type querier struct {
mint, maxt int64
client *client
}
var _ storage.Querier = (*querier)(nil)
func (q *querier) Select(ctx context.Context, sortSeries bool, hints *storage.SelectHints, matchers ...*labels.Matcher) storage.SeriesSet {
start, end := q.window(hints)
seriesQuery, seriesArgs, err := buildSeriesQuery(start, end, matchers)
if err != nil {
return storage.ErrSeriesSet(err)
}
lookup, err := q.client.selectSeries(ctx, seriesQuery, seriesArgs)
if err != nil {
return storage.ErrSeriesSet(err)
}
if len(lookup.fingerprints) == 0 {
return storage.EmptySeriesSet()
}
list, err := q.fetchSamples(ctx, start, end, matchers, lookup, q.lastSamplePerStepFor(ctx, hints))
if err != nil {
return storage.ErrSeriesSet(err)
}
// The engine assumes storages never emit duplicate label sets.
list = sortAndMerge(list)
return newSeriesSet(list)
}
func (q *querier) LabelValues(ctx context.Context, name string, hints *storage.LabelHints, matchers ...*labels.Matcher) ([]string, annotations.Annotations, error) {
sb := sqlbuilder.NewSelectBuilder()
if name == metricNameLabel {
sb.Select("DISTINCT metric_name AS value")
} else {
sb.Select(fmt.Sprintf("DISTINCT JSONExtractString(labels, %s) AS value", sb.Var(name)))
}
adjustedStart, table := timeSeriesTableFor(q.mint, q.maxt)
sb.From(fmt.Sprintf("%s.%s", databaseName, table))
if err := applySeriesConditions(sb, adjustedStart, q.maxt, matchers); err != nil {
return nil, nil, err
}
sb.Where("value != ''")
if hints != nil && hints.Limit > 0 {
sb.Limit(hints.Limit)
}
query, args := sb.BuildWithFlavor(sqlbuilder.ClickHouse)
values, err := q.selectStrings(ctx, "LabelValues", query, args)
if err != nil {
return nil, nil, err
}
slices.Sort(values)
return values, nil, nil
}
func (q *querier) LabelNames(ctx context.Context, hints *storage.LabelHints, matchers ...*labels.Matcher) ([]string, annotations.Annotations, error) {
sb := sqlbuilder.NewSelectBuilder()
sb.Select("DISTINCT arrayJoin(JSONExtractKeys(labels)) AS name")
adjustedStart, table := timeSeriesTableFor(q.mint, q.maxt)
sb.From(fmt.Sprintf("%s.%s", databaseName, table))
if err := applySeriesConditions(sb, adjustedStart, q.maxt, matchers); err != nil {
return nil, nil, err
}
if hints != nil && hints.Limit > 0 {
sb.Limit(hints.Limit)
}
query, args := sb.BuildWithFlavor(sqlbuilder.ClickHouse)
names, err := q.selectStrings(ctx, "LabelNames", query, args)
if err != nil {
return nil, nil, err
}
slices.Sort(names)
return names, nil, nil
}
func (q *querier) Close() error {
return nil
}
// window returns the per-selector fetch window from the hints (already
// adjusted for offset, @, range and lookback); mint/maxt span the union of
// all selectors and are the fallback.
func (q *querier) window(hints *storage.SelectHints) (int64, int64) {
if hints != nil && hints.Start != 0 && hints.End != 0 && hints.Start <= hints.End {
return hints.Start, hints.End
}
return q.mint, q.maxt
}
// lastSamplePerStepFor decides whether the fetch can keep only the last
// sample per step bucket (see lastSamplePerStep). Only instant selectors
// (hints.Range == 0) of subquery-free queries qualify: range selectors need
// every raw sample, and subquery selectors evaluate at the subquery's own
// step while hints carry the top-level step — the subquery-free proof
// arrives as QueryTraits in the context. The first evaluation timestamp is
// recovered as hints.Start + lookback - 1ms, inverting how the engine
// derives hints.Start.
func (q *querier) lastSamplePerStepFor(ctx context.Context, hints *storage.SelectHints) *lastSamplePerStep {
if hints == nil || hints.Range != 0 || hints.Start <= 0 {
return nil
}
traits, ok := prometheus.QueryTraitsFromContext(ctx)
if !ok || !traits.SubqueryFree {
return nil
}
firstEval := hints.Start + q.client.lookbackMs - 1
if firstEval > hints.End {
// Defensive: never anchor a bucket past the window.
firstEval = hints.End
}
return &lastSamplePerStep{firstEvalMs: firstEval, stepMs: hints.Step}
}
// fetchSamples runs the samples query for the matched series (see
// buildSamplesQuery).
func (q *querier) fetchSamples(ctx context.Context, start, end int64, matchers []*labels.Matcher, lookup *seriesLookup, lastPerStep *lastSamplePerStep) ([]*series, error) {
query, args, err := buildSamplesQuery(start, end, lookup.metricNames, matchers, lastPerStep)
if err != nil {
return nil, err
}
return q.client.selectSamples(ctx, query, args, lookup)
}
func (q *querier) selectStrings(ctx context.Context, fn, query string, args []any) ([]string, error) {
ctx = q.client.withContext(ctx, fn)
rows, err := q.client.telemetryStore.ClickhouseDB().Query(ctx, query, args...)
if err != nil {
return nil, err
}
defer rows.Close()
var out []string
var v string
for rows.Next() {
if err := rows.Scan(&v); err != nil {
return nil, err
}
out = append(out, v)
}
if err := rows.Err(); err != nil {
return nil, err
}
return out, nil
}

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package clickhouseprometheusv2
import (
"sort"
"github.com/prometheus/prometheus/model/histogram"
"github.com/prometheus/prometheus/model/labels"
"github.com/prometheus/prometheus/storage"
"github.com/prometheus/prometheus/tsdb/chunkenc"
"github.com/prometheus/prometheus/util/annotations"
)
// series is one time series with samples as parallel slices ordered by
// timestamp. Deliberately not storage.NewListSeries: that boxes every sample
// as an interface value, a per-sample allocation this fetch path exists to
// avoid.
type series struct {
lset labels.Labels
ts []int64
vs []float64
}
var _ storage.Series = (*series)(nil)
func (s *series) Labels() labels.Labels {
return s.lset
}
func (s *series) Iterator(it chunkenc.Iterator) chunkenc.Iterator {
if fit, ok := it.(*floatIterator); ok {
fit.reset(s)
return fit
}
fit := &floatIterator{}
fit.reset(s)
return fit
}
// floatIterator implements chunkenc.Iterator over a series' sample slices.
type floatIterator struct {
s *series
i int
}
var _ chunkenc.Iterator = (*floatIterator)(nil)
func (it *floatIterator) reset(s *series) {
it.s = s
it.i = -1
}
func (it *floatIterator) Next() chunkenc.ValueType {
it.i++
if it.i >= len(it.s.ts) {
return chunkenc.ValNone
}
return chunkenc.ValFloat
}
func (it *floatIterator) Seek(t int64) chunkenc.ValueType { //nolint:govet // stdmethods flags io.Seeker; this is chunkenc.Iterator's Seek
if it.i < 0 {
it.i = 0
}
if it.i >= len(it.s.ts) {
return chunkenc.ValNone
}
// The current position, once valid, must not move backwards.
if it.s.ts[it.i] >= t {
return chunkenc.ValFloat
}
it.i += sort.Search(len(it.s.ts)-it.i, func(j int) bool {
return it.s.ts[it.i+j] >= t
})
if it.i >= len(it.s.ts) {
return chunkenc.ValNone
}
return chunkenc.ValFloat
}
func (it *floatIterator) At() (int64, float64) {
return it.s.ts[it.i], it.s.vs[it.i]
}
func (it *floatIterator) AtHistogram(*histogram.Histogram) (int64, *histogram.Histogram) {
return 0, nil
}
func (it *floatIterator) AtFloatHistogram(*histogram.FloatHistogram) (int64, *histogram.FloatHistogram) {
return 0, nil
}
func (it *floatIterator) AtT() int64 {
return it.s.ts[it.i]
}
// AtST returns the current start timestamp; not tracked by this storage.
func (it *floatIterator) AtST() int64 {
return 0
}
func (it *floatIterator) Err() error {
return nil
}
// seriesSet iterates a fully materialized, label-sorted list of series.
type seriesSet struct {
series []*series
i int
}
var _ storage.SeriesSet = (*seriesSet)(nil)
func newSeriesSet(list []*series) *seriesSet {
return &seriesSet{series: list, i: -1}
}
func (s *seriesSet) Next() bool {
s.i++
return s.i < len(s.series)
}
func (s *seriesSet) At() storage.Series {
return s.series[s.i]
}
func (s *seriesSet) Err() error {
return nil
}
func (s *seriesSet) Warnings() annotations.Annotations {
return nil
}
// sortAndMerge orders series by label set and merges identical label sets
// by timestamp (first sample wins ties): distinct fingerprints can carry
// identical label sets, and the engine assumes storages never emit
// duplicates.
func sortAndMerge(list []*series) []*series {
if len(list) < 2 {
return list
}
sort.Slice(list, func(i, j int) bool {
return labels.Compare(list[i].lset, list[j].lset) < 0
})
out := list[:1]
for _, s := range list[1:] {
last := out[len(out)-1]
if labels.Compare(last.lset, s.lset) != 0 {
out = append(out, s)
continue
}
merged := mergeSamples(last, s)
out[len(out)-1] = merged
}
return out
}
func mergeSamples(a, b *series) *series {
ts := make([]int64, 0, len(a.ts)+len(b.ts))
vs := make([]float64, 0, len(a.ts)+len(b.ts))
i, j := 0, 0
for i < len(a.ts) && j < len(b.ts) {
switch {
case a.ts[i] < b.ts[j]:
ts = append(ts, a.ts[i])
vs = append(vs, a.vs[i])
i++
case a.ts[i] > b.ts[j]:
ts = append(ts, b.ts[j])
vs = append(vs, b.vs[j])
j++
default:
ts = append(ts, a.ts[i])
vs = append(vs, a.vs[i])
i++
j++
}
}
ts = append(ts, a.ts[i:]...)
vs = append(vs, a.vs[i:]...)
ts = append(ts, b.ts[j:]...)
vs = append(vs, b.vs[j:]...)
return &series{lset: a.lset, ts: ts, vs: vs}
}

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package clickhouseprometheusv2
import (
"fmt"
"github.com/SigNoz/signoz/pkg/errors"
"github.com/huandu/go-sqlbuilder"
"github.com/prometheus/prometheus/model/labels"
)
// buildSeriesQuery renders the series lookup: one row per matched fingerprint
// with its labels.
func buildSeriesQuery(start, end int64, matchers []*labels.Matcher) (string, []any, error) {
adjustedStart, table := timeSeriesTableFor(start, end)
sb := sqlbuilder.NewSelectBuilder()
sb.Select("fingerprint", "any(labels)")
sb.From(fmt.Sprintf("%s.%s", databaseName, table))
if err := applySeriesConditions(sb, adjustedStart, end, matchers); err != nil {
return "", nil, err
}
sb.GroupBy("fingerprint")
query, args := sb.BuildWithFlavor(sqlbuilder.ClickHouse)
return query, args, nil
}
// buildSamplesQuery renders the samples fetch for the matched series: a
// semi-join re-runs the series predicates against the shard-local series
// table (complete by fingerprint co-locality, see localTimeSeriesTable — a
// GLOBAL broadcast would ship the matched set to every shard, and ClickHouse
// materializes the subquery's set per shard before the scan, so it still
// engages the fingerprint primary-key column). metricNames (observed on the
// matched series when the selector had no __name__ equality) narrows the
// primary-key scan. A non-nil lastPerStep groups to the last sample per
// step bucket.
func buildSamplesQuery(start, end int64, metricNames []string, matchers []*labels.Matcher, lastPerStep *lastSamplePerStep) (string, []any, error) {
sb := sqlbuilder.NewSelectBuilder()
if lastPerStep != nil {
// Aliases must not shadow source columns: ClickHouse resolves aliases
// in WHERE too, and "max(unix_milli) AS unix_milli" would put an
// aggregate into the WHERE clause (error 184).
sb.Select("fingerprint", "max(unix_milli) AS ts", "argMax(value, unix_milli) AS val", "argMax(flags, unix_milli) AS fl")
} else {
sb.Select("fingerprint", "unix_milli", "value", "flags")
}
sb.From(fmt.Sprintf("%s.%s", databaseName, distributedSamplesV4))
switch len(metricNames) {
case 0:
// No name constraint derivable; the primary-key prefix goes unused.
case 1:
sb.Where(sb.EQ("metric_name", metricNames[0]))
default:
sb.Where(sb.In("metric_name", sqlbuilder.List(metricNames)))
}
// Semantically redundant (the fingerprints already come from these
// temporalities) but engages the leading primary-key column.
sb.Where("temporality IN ['Cumulative', 'Unspecified']")
sub := sqlbuilder.NewSelectBuilder()
sub.Select("fingerprint")
adjustedStart, table := timeSeriesTableFor(start, end)
sub.From(fmt.Sprintf("%s.%s", databaseName, localTimeSeriesTable(table)))
if err := applySeriesConditions(sub, adjustedStart, end, matchers); err != nil {
return "", nil, err
}
sb.Where(sb.In("fingerprint", sub))
sb.Where(sb.GTE("unix_milli", start), sb.LTE("unix_milli", end))
if lastPerStep != nil {
sb.GroupBy("fingerprint")
if expr := lastPerStep.bucketExpr(); expr != "" {
sb.GroupBy(expr)
}
sb.OrderBy("fingerprint", "ts")
} else {
sb.OrderBy("fingerprint", "unix_milli")
}
query, args := sb.BuildWithFlavor(sqlbuilder.ClickHouse)
return query, args, nil
}
// applySeriesConditions adds the WHERE conditions of a series table scan:
// __name__ matchers (all four types) translate to the metric_name column,
// every other matcher to a JSONExtractString condition on the labels column.
// An equality matcher against "" matches series without the label, mirroring
// PromQL, because JSONExtractString returns "" for missing keys. Regexes are
// anchored: PromQL matchers match the whole value, ClickHouse match()
// searches for a substring.
func applySeriesConditions(sb *sqlbuilder.SelectBuilder, start, end int64, matchers []*labels.Matcher) error {
for _, m := range matchers {
if m.Name != metricNameLabel {
continue
}
switch m.Type {
case labels.MatchEqual:
sb.Where(sb.EQ("metric_name", m.Value))
case labels.MatchNotEqual:
sb.Where(sb.NE("metric_name", m.Value))
case labels.MatchRegexp:
sb.Where(fmt.Sprintf("match(metric_name, %s)", sb.Var(anchorRegex(m.Value))))
case labels.MatchNotRegexp:
sb.Where(fmt.Sprintf("NOT match(metric_name, %s)", sb.Var(anchorRegex(m.Value))))
default:
return errors.NewInvalidInputf(errors.CodeInvalidInput, "unsupported matcher type %q for __name__", m.Type)
}
}
sb.Where("temporality IN ['Cumulative', 'Unspecified']")
// Inclusive upper bound: registration rows are hour-floored (and 6h/1d/1w
// for the rollup tables) by the exporter, so a series first registered in
// the bucket starting exactly at `end` would otherwise be invisible while
// its samples (<= end) are in range.
sb.Where(sb.GTE("unix_milli", start), sb.LTE("unix_milli", end))
for _, m := range matchers {
if m.Name == metricNameLabel {
continue
}
switch m.Type {
case labels.MatchEqual:
sb.Where(fmt.Sprintf("JSONExtractString(labels, %s) = %s", sb.Var(m.Name), sb.Var(m.Value)))
case labels.MatchNotEqual:
sb.Where(fmt.Sprintf("JSONExtractString(labels, %s) != %s", sb.Var(m.Name), sb.Var(m.Value)))
case labels.MatchRegexp:
sb.Where(fmt.Sprintf("match(JSONExtractString(labels, %s), %s)", sb.Var(m.Name), sb.Var(anchorRegex(m.Value))))
case labels.MatchNotRegexp:
sb.Where(fmt.Sprintf("NOT match(JSONExtractString(labels, %s), %s)", sb.Var(m.Name), sb.Var(anchorRegex(m.Value))))
default:
return errors.NewInvalidInputf(errors.CodeInvalidInput, "unsupported matcher type %q", m.Type)
}
}
return nil
}
// anchorRegex turns a PromQL regex into its fully-anchored form (see
// applySeriesConditions).
func anchorRegex(v string) string {
return "^(?:" + v + ")$"
}
// lastSamplePerStep reduces an instant-selector fetch to the last sample of
// each step bucket: bucket 0 is (start, firstEval], bucket i is
// (firstEval+(i-1)·step, firstEval+i·step]. Anchoring buckets at the first
// evaluation timestamp makes every bucket boundary an evaluation timestamp,
// so a non-final sample of a bucket can never be the latest sample in any
// (t-lookback, t] the engine resolves — the reduction is lossless. Real
// timestamps are preserved, so the engine's own lookback and staleness
// handling remain exact.
type lastSamplePerStep struct {
firstEvalMs int64
stepMs int64
}
func (t *lastSamplePerStep) bucketExpr() string {
if t.stepMs <= 0 {
// Instant query: a single evaluation at firstEval; one bucket.
return ""
}
return fmt.Sprintf(
"if(unix_milli <= %d, 0, intDiv(unix_milli - %d - 1, %d) + 1)",
t.firstEvalMs, t.firstEvalMs, t.stepMs,
)
}

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package clickhouseprometheusv2
import (
"testing"
"time"
"github.com/prometheus/prometheus/model/labels"
"github.com/stretchr/testify/assert"
"github.com/stretchr/testify/require"
)
func mustMatcher(t *testing.T, mt labels.MatchType, name, value string) *labels.Matcher {
t.Helper()
m, err := labels.NewMatcher(mt, name, value)
require.NoError(t, err)
return m
}
func TestTimeSeriesTableFor(t *testing.T) {
base := time.Date(2026, 7, 10, 3, 27, 0, 0, time.UTC).UnixMilli()
tests := []struct {
name string
span time.Duration
wantTable string
roundTo time.Duration
}{
{"under 6h uses hourly table", 2 * time.Hour, distributedTimeSeriesV4, time.Hour},
{"under 1d uses 6h table", 12 * time.Hour, distributedTimeSeriesV46hrs, 6 * time.Hour},
{"under 1w uses 1d table", 3 * 24 * time.Hour, distributedTimeSeriesV41day, 24 * time.Hour},
{"over 1w uses 1w table", 10 * 24 * time.Hour, distributedTimeSeriesV41week, 7 * 24 * time.Hour},
}
for _, tt := range tests {
t.Run(tt.name, func(t *testing.T) {
start, table := timeSeriesTableFor(base, base+tt.span.Milliseconds())
assert.Equal(t, tt.wantTable, table)
assert.Zero(t, start%tt.roundTo.Milliseconds())
assert.LessOrEqual(t, start, base)
})
}
}
func TestBuildSeriesQuery(t *testing.T) {
start := int64(1_700_000_000_000)
end := start + time.Hour.Milliseconds()
// The series table window rounds down to the table's bucket boundary.
adjustedStart := start - (start % time.Hour.Milliseconds())
t.Run("equality name and label matchers", func(t *testing.T) {
query, args, err := buildSeriesQuery(start, end, []*labels.Matcher{
mustMatcher(t, labels.MatchEqual, "__name__", "http_requests_total"),
mustMatcher(t, labels.MatchEqual, "job", "api"),
})
require.NoError(t, err)
assert.Equal(t,
"SELECT fingerprint, any(labels) FROM signoz_metrics.distributed_time_series_v4 WHERE metric_name = ? AND temporality IN ['Cumulative', 'Unspecified'] AND unix_milli >= ? AND unix_milli <= ? AND JSONExtractString(labels, ?) = ? GROUP BY fingerprint",
query,
)
assert.Equal(t, []any{"http_requests_total", adjustedStart, end, "job", "api"}, args)
})
t.Run("regex matchers are anchored", func(t *testing.T) {
_, args, err := buildSeriesQuery(start, end, []*labels.Matcher{
mustMatcher(t, labels.MatchEqual, "__name__", "up"),
mustMatcher(t, labels.MatchRegexp, "instance", "prod.*"),
mustMatcher(t, labels.MatchNotRegexp, "env", "dev|test"),
})
require.NoError(t, err)
assert.Equal(t, []any{"up", adjustedStart, end, "instance", "^(?:prod.*)$", "env", "^(?:dev|test)$"}, args)
})
t.Run("regex name matcher uses metric_name column", func(t *testing.T) {
query, args, err := buildSeriesQuery(start, end, []*labels.Matcher{
mustMatcher(t, labels.MatchRegexp, "__name__", "node_cpu.*|node_memory.*"),
})
require.NoError(t, err)
assert.Contains(t, query, "match(metric_name, ?)")
assert.NotContains(t, query, "JSONExtractString")
assert.Equal(t, []any{"^(?:node_cpu.*|node_memory.*)$", adjustedStart, end}, args)
})
t.Run("no name matcher omits metric_name condition", func(t *testing.T) {
query, _, err := buildSeriesQuery(start, end, []*labels.Matcher{
mustMatcher(t, labels.MatchEqual, "job", "api"),
})
require.NoError(t, err)
assert.NotContains(t, query, "metric_name")
})
}
func TestBuildSamplesQuery(t *testing.T) {
start := int64(1_700_000_000_000)
end := start + time.Hour.Milliseconds()
adjustedStart := start - (start % time.Hour.Milliseconds())
matchers := []*labels.Matcher{
mustMatcher(t, labels.MatchEqual, "__name__", "up"),
mustMatcher(t, labels.MatchEqual, "job", "api"),
}
t.Run("raw fetch filters by a shard-local semi-join", func(t *testing.T) {
query, args, err := buildSamplesQuery(start, end, []string{"up"}, matchers, nil)
require.NoError(t, err)
assert.Contains(t, query, "fingerprint IN (SELECT fingerprint FROM signoz_metrics.time_series_v4 WHERE ")
assert.NotContains(t, query, "GLOBAL IN")
assert.Contains(t, query, "ORDER BY fingerprint, unix_milli")
// Args follow placeholder order: samples metric name, the semi-join's
// series predicates, then the samples window bounds.
assert.Equal(t, []any{"up", "up", adjustedStart, end, "job", "api", start, end}, args)
})
t.Run("last-sample-per-step groups by step bucket anchored at first eval", func(t *testing.T) {
lastPerStep := &lastSamplePerStep{firstEvalMs: start + 299_999, stepMs: 60_000}
query, _, err := buildSamplesQuery(start, end, []string{"up"}, matchers, lastPerStep)
require.NoError(t, err)
assert.Contains(t, query, "argMax(value, unix_milli) AS val")
assert.Contains(t, query, "argMax(flags, unix_milli) AS fl")
assert.Contains(t, query, "GROUP BY fingerprint, if(unix_milli <= 1700000299999, 0, intDiv(unix_milli - 1700000299999 - 1, 60000) + 1)")
assert.Contains(t, query, "ORDER BY fingerprint, ts")
// Aliases must not shadow the source columns referenced in WHERE.
assert.NotContains(t, query, "AS unix_milli")
assert.NotContains(t, query, "AS value")
assert.NotContains(t, query, "AS flags")
})
t.Run("instant query keeps one bucket", func(t *testing.T) {
lastPerStep := &lastSamplePerStep{firstEvalMs: end, stepMs: 0}
query, _, err := buildSamplesQuery(start, end, []string{"up"}, matchers, lastPerStep)
require.NoError(t, err)
assert.Contains(t, query, "GROUP BY fingerprint ORDER BY fingerprint, ts")
assert.NotContains(t, query, "intDiv")
})
t.Run("multiple metric names from regex selector", func(t *testing.T) {
query, args, err := buildSamplesQuery(start, end, []string{"node_cpu", "node_memory"}, matchers, nil)
require.NoError(t, err)
assert.Contains(t, query, "metric_name IN (?, ?)")
assert.Equal(t, []any{"node_cpu", "node_memory", "up", adjustedStart, end, "job", "api", start, end}, args)
})
}

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package clickhouseprometheusv2
import "time"
// TODO(srikanthccv): consolidate the metrics table names and the
// window-to-table selection across the query builders (telemetrymetrics)
// and the prometheus providers instead of each package carrying its own
// copy.
const (
// metricNameLabel is the reserved PromQL label holding the metric name.
metricNameLabel string = "__name__"
databaseName string = "signoz_metrics"
distributedTimeSeriesV4 string = "distributed_time_series_v4"
distributedTimeSeriesV46hrs string = "distributed_time_series_v4_6hrs"
distributedTimeSeriesV41day string = "distributed_time_series_v4_1day"
distributedTimeSeriesV41week string = "distributed_time_series_v4_1week"
distributedSamplesV4 string = "distributed_samples_v4"
localTimeSeriesV4 string = "time_series_v4"
localTimeSeriesV46hrs string = "time_series_v4_6hrs"
localTimeSeriesV41day string = "time_series_v4_1day"
localTimeSeriesV41week string = "time_series_v4_1week"
)
// localTimeSeriesTable maps a distributed time series table to its shard-local
// table. Samples and time series shard on the same key
// (cityHash64(env, temporality, metric_name, fingerprint)), so a query whose
// top-level FROM is the distributed samples table can join or semi-join the
// local time series table inside each shard: the shard rewrite runs the
// subquery against the shard's own series rows, which are exactly the series
// of the shard's samples. No broadcast, no initiator-side join.
func localTimeSeriesTable(distributed string) string {
switch distributed {
case distributedTimeSeriesV46hrs:
return localTimeSeriesV46hrs
case distributedTimeSeriesV41day:
return localTimeSeriesV41day
case distributedTimeSeriesV41week:
return localTimeSeriesV41week
default:
return localTimeSeriesV4
}
}
var (
oneHourInMilliseconds = time.Hour.Milliseconds()
sixHoursInMilliseconds = time.Hour.Milliseconds() * 6
oneDayInMilliseconds = time.Hour.Milliseconds() * 24
oneWeekInMilliseconds = time.Hour.Milliseconds() * 24 * 7
)
// timeSeriesTableFor returns the adjusted start and the time series table for
// the window. Time series tables hold one row per (fingerprint, bucket), with
// bucket granularities of 1h, 6h, 1d and 1w; the start is rounded down to the
// bucket boundary so a window beginning mid-bucket still matches the bucket's
// row.
func timeSeriesTableFor(start, end int64) (int64, string) {
switch {
case end-start < sixHoursInMilliseconds:
return start - (start % oneHourInMilliseconds), distributedTimeSeriesV4
case end-start < oneDayInMilliseconds:
return start - (start % sixHoursInMilliseconds), distributedTimeSeriesV46hrs
case end-start < oneWeekInMilliseconds:
return start - (start % oneDayInMilliseconds), distributedTimeSeriesV41day
default:
return start - (start % oneWeekInMilliseconds), distributedTimeSeriesV41week
}
}

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package clickhouseprometheusv2
import (
"fmt"
"strings"
"github.com/prometheus/prometheus/model/labels"
"github.com/prometheus/prometheus/promql/parser"
)
// The compiler turns PromQL subtrees into single ClickHouse queries built on
// the timeSeries*ToGrid aggregate functions (CH >= 25.6), whose semantics
// were verified against this repo's vendored engine: exact extrapolatedRate
// behavior including counter resets, the counter zero-point clamp, the
// 1.1x-average extrapolation threshold, left-open windows, the >= 2 samples
// rule, stale-marker shadowing, and millisecond grid starts. Sample rows
// never leave ClickHouse: one row per output series comes back, holding the
// whole grid as an array.
//
// Scope (the allowlist): an optional sum/min/max/avg/count by/without
// aggregation over a core unit — a rate/increase/delta/irate/idelta range
// selection, an instant vector selection, or an avg/min/max/sum/count/last
// _over_time window — plus number-literal arithmetic/comparisons and unary
// minus on top. Units inside fixed-resolution subqueries evaluate on the
// subquery's own grid. Everything else either falls back to the engine over
// this package's querier, or — when a transpilable subtree sits under a
// non-transpilable node — runs hybrid: the subtree's grids are computed in
// ClickHouse and substituted into the engine as synthetic series (see
// compiler_exec.go). See doc.go for the fallback list and the reasons behind
// each entry.
// rangeFn is a transpilable range-vector function.
type rangeFn string
const (
fnRate rangeFn = "rate"
fnIncrease rangeFn = "increase"
fnDelta rangeFn = "delta"
fnIRate rangeFn = "irate"
fnIDelta rangeFn = "idelta"
)
var gridFunction = map[rangeFn]string{
fnRate: "timeSeriesRateToGrid",
fnIncrease: "timeSeriesRateToGrid", // increase == rate * range seconds, exactly (same factor algebra)
fnDelta: "timeSeriesDeltaToGrid",
fnIRate: "timeSeriesInstantRateToGrid",
fnIDelta: "timeSeriesInstantDeltaToGrid",
}
// scalarOp is one number-literal arithmetic or comparison applied to a
// compiled vector, evaluated in Go during assembly with the same float64
// operations the engine uses.
type scalarOp struct {
op parser.ItemType
scalar float64
scalarOnLeft bool
returnBool bool
}
// isComparison reports whether the op is a filtering/bool comparison, which
// preserves the metric name (arithmetic drops it).
func (o scalarOp) isComparison() bool {
return o.op.IsComparisonOperator()
}
// unitKind is the selector shape at the bottom of a core unit.
type unitKind int
const (
// unitRange: rate/increase/delta/irate/idelta over a matrix selector.
unitRange unitKind = iota
// unitInstant: a plain vector selector resolved per grid point with
// lookback and stale-marker shadowing.
unitInstant
// unitOverTime: avg/min/max/sum/count/last_over_time over a matrix
// selector (aggregation over the window's samples, stale rows excluded).
unitOverTime
)
// coreUnit is one transpilable subtree: selector [-> range function] ->
// optional aggregation -> scalar op pipeline.
type coreUnit struct {
kind unitKind
matchers []*labels.Matcher
offsetMs int64
fn rangeFn // unitRange
overFn string // unitOverTime: avg|min|max|sum|count|last
rangeMs int64 // unitRange/unitOverTime window
hasAgg bool
aggOp parser.ItemType // SUM MIN MAX AVG COUNT
by bool
grouping []string
ops []scalarOp
}
// keepsName reports whether the unit's output series keep their real
// __name__: bare/comparison-filtered instant selectors and last_over_time do
// (it returns the raw sample, name included); range functions, the other
// *_over_time functions, aggregations, arithmetic and bool comparisons all
// drop it — a bool comparison returns 0/1, not the sample, so the engine
// drops the name there too. Units that keep the name cannot be substituted
// as synthetic series in hybrid plans — the synthetic name would replace
// the real one — but transpile fine as full plans, where assembly emits the
// real names.
func (u *coreUnit) keepsName() bool {
nameKeepingSelector := u.kind == unitInstant || (u.kind == unitOverTime && u.overFn == "last")
if !nameKeepingSelector || u.hasAgg {
return false
}
for _, op := range u.ops {
if !op.isComparison() || op.returnBool {
return false
}
}
return true
}
// gridContext is the evaluation grid a unit computes on. The query grid for
// top-level units; for units inside subqueries, the subquery's own grid:
// epoch-aligned multiples of its resolution covering the subquery window,
// exactly as the engine derives it (engine.go, *parser.SubqueryExpr case).
type gridContext struct {
startMs int64
endMs int64
stepMs int64
}
// subqueryGrid derives the inner grid for a subquery evaluated on outer:
// interval S, end = outer end offset, start = first multiple of S strictly
// greater than outer start offset range.
func subqueryGrid(outer gridContext, rangeMs, stepMs, offsetMs int64) gridContext {
lower := outer.startMs - offsetMs - rangeMs
start := stepMs * (lower / stepMs)
if start <= lower {
start += stepMs
}
return gridContext{startMs: start, endMs: outer.endMs - offsetMs, stepMs: stepMs}
}
// transpiledUnit is a coreUnit scheduled for execution, named for hybrid
// substitution, carrying the grid it evaluates on.
type transpiledUnit struct {
core coreUnit
name string // __signoz_transpiled_<n>__
grid gridContext
}
// transpilePlan is the outcome of classifying a query.
type transpilePlan struct {
units []*transpiledUnit
grid gridContext // the query's top-level grid
// full is set when the entire query is units[0]; otherwise rewritten
// holds the query with each unit replaced by a synthetic selector, to be
// evaluated by the engine over a hybrid storage.
full bool
rewritten string
}
const syntheticNamePrefix = "__signoz_transpiled_"
func syntheticName(i int) string {
return fmt.Sprintf("%s%d__", syntheticNamePrefix, i)
}
// classifyCore matches a subtree against the transpilable core shape.
// stepMs gates second-granularity: the grid functions take whole-second step
// and window parameters (grid *starts* are millisecond-precise).
func classifyCore(node parser.Expr, stepMs int64) (*coreUnit, bool) {
unit := &coreUnit{}
expr := node
// Peel scalar ops and parens off the top, outermost first; ops apply in
// evaluation order, so prepend while peeling.
for {
switch n := expr.(type) {
case *parser.ParenExpr:
expr = n.Expr
continue
case *parser.UnaryExpr:
if n.Op != parser.SUB {
expr = n.Expr // unary '+' is a no-op
continue
}
// -x == -1 * x for every float64 (incl. NaN and signed zero).
unit.ops = append([]scalarOp{{op: parser.MUL, scalar: -1}}, unit.ops...)
expr = n.Expr
continue
case *parser.StepInvariantExpr:
// @-pinned expressions evaluate on a different grid.
return nil, false
case *parser.BinaryExpr:
lit, litOnLeft, ok := numberLiteralSide(n)
if !ok {
return nil, false
}
if !n.Op.IsOperator() && !n.Op.IsComparisonOperator() {
return nil, false
}
if n.Op == parser.ATAN2 {
// atan2 is arithmetic in PromQL but rarely used; keep the
// allowlist tight.
return nil, false
}
returnBool := n.ReturnBool
unit.ops = append([]scalarOp{{op: n.Op, scalar: lit, scalarOnLeft: litOnLeft, returnBool: returnBool}}, unit.ops...)
if litOnLeft {
expr = n.RHS
} else {
expr = n.LHS
}
continue
}
break
}
// Optional aggregation.
if agg, ok := expr.(*parser.AggregateExpr); ok {
switch agg.Op {
case parser.SUM, parser.MIN, parser.MAX, parser.AVG, parser.COUNT:
default:
return nil, false
}
for _, g := range agg.Grouping {
if g == metricNameLabel {
// by(__name__)/without(__name__) over synthetic or compiled
// output needs name bookkeeping the compiler doesn't do.
return nil, false
}
}
unit.hasAgg = true
unit.aggOp = agg.Op
unit.by = !agg.Without
unit.grouping = agg.Grouping
expr = agg.Expr
for {
if p, ok := expr.(*parser.ParenExpr); ok {
expr = p.Expr
continue
}
break
}
}
// The grid functions take whole-second steps; stepMs == 0 is an instant
// query (single-point grid).
if stepMs < 0 || stepMs%1000 != 0 {
return nil, false
}
// Bare instant selector: resolved per grid point with lookback and
// stale-marker shadowing (see compiler_sql.go).
if vs, ok := expr.(*parser.VectorSelector); ok {
// A duration expression (offset step(), offset range()*2, ...) is
// resolved into OriginalOffset only at evaluation time; at
// classification time the field still holds its zero value, so
// transpiling would silently use the wrong offset.
if vs.Timestamp != nil || vs.StartOrEnd != 0 || vs.Anchored || vs.Smoothed || vs.OriginalOffsetExpr != nil {
return nil, false
}
offsetMs := vs.OriginalOffset.Milliseconds()
if offsetMs < 0 {
return nil, false
}
unit.kind = unitInstant
unit.offsetMs = offsetMs
unit.matchers = vs.LabelMatchers
return unit, true
}
// Range or *_over_time function over a plain matrix selector.
call, ok := expr.(*parser.Call)
if !ok {
return nil, false
}
var fn rangeFn
var overFn string
switch call.Func.Name {
case "rate":
fn = fnRate
case "increase":
fn = fnIncrease
case "delta":
fn = fnDelta
case "irate":
fn = fnIRate
case "idelta":
fn = fnIDelta
case "avg_over_time", "min_over_time", "max_over_time", "sum_over_time", "count_over_time", "last_over_time":
overFn = strings.TrimSuffix(call.Func.Name, "_over_time")
default:
return nil, false
}
if len(call.Args) != 1 {
return nil, false
}
ms, ok := call.Args[0].(*parser.MatrixSelector)
if !ok {
return nil, false
}
vs, ok := ms.VectorSelector.(*parser.VectorSelector)
if !ok {
return nil, false
}
// Duration expressions resolve at evaluation time (see the instant
// selector case above); Range/OriginalOffset would be read as zero here.
if vs.Timestamp != nil || vs.StartOrEnd != 0 || vs.Anchored || vs.Smoothed || vs.OriginalOffsetExpr != nil || ms.RangeExpr != nil {
return nil, false
}
rangeMs := ms.Range.Milliseconds()
offsetMs := vs.OriginalOffset.Milliseconds()
if rangeMs <= 0 || rangeMs%1000 != 0 || offsetMs < 0 {
return nil, false
}
if overFn != "" {
unit.kind = unitOverTime
unit.overFn = overFn
} else {
unit.kind = unitRange
unit.fn = fn
}
unit.rangeMs = rangeMs
unit.offsetMs = offsetMs
unit.matchers = vs.LabelMatchers
return unit, true
}
// numberLiteralSide returns the number literal on one side of a binary
// expression (peeling parens and unary minus), and which side it is on.
func numberLiteralSide(b *parser.BinaryExpr) (float64, bool, bool) {
if v, ok := literalValue(b.LHS); ok {
return v, true, true
}
if v, ok := literalValue(b.RHS); ok {
return v, false, true
}
return 0, false, false
}
func literalValue(e parser.Expr) (float64, bool) {
neg := false
for {
switch n := e.(type) {
case *parser.ParenExpr:
e = n.Expr
continue
case *parser.StepInvariantExpr:
e = n.Expr
continue
case *parser.UnaryExpr:
if n.Op == parser.SUB {
neg = !neg
}
e = n.Expr
continue
case *parser.NumberLiteral:
if neg {
return -n.Val, true
}
return n.Val, true
default:
return 0, false
}
}
}
// classify builds the compile plan for a query: full when the root is a core
// unit, hybrid when core units sit strictly below the root (including inside
// fixed-resolution subqueries, computed on the subquery grid), none
// otherwise.
func classify(root parser.Expr, grid gridContext) (*transpilePlan, bool) {
if unit, ok := classifyCore(root, grid.stepMs); ok {
return &transpilePlan{
units: []*transpiledUnit{{core: *unit, name: syntheticName(0), grid: grid}},
grid: grid,
full: true,
}, true
}
plan := &transpilePlan{grid: grid}
rewritten := rewrite(root, grid, plan, false)
if len(plan.units) == 0 {
return nil, false
}
plan.rewritten = rewritten.String()
return plan, true
}
// rewrite walks top-down replacing maximal transpilable subtrees with synthetic
// vector selectors. nameSensitive marks scopes where an ancestor's semantics
// depend on __name__ (grouping or vector matching on it): synthetic series
// carry a synthetic __name__, so substitution there would change results.
// Fixed-resolution subqueries recurse with the subquery's own grid; scopes
// whose evaluation grid is unknowable (@-pinned, default-resolution
// subqueries) are not entered.
func rewrite(node parser.Expr, grid gridContext, plan *transpilePlan, nameSensitive bool) parser.Expr {
if node == nil {
return nil
}
if !nameSensitive {
// Units whose output keeps the real __name__ (bare instant selectors)
// cannot be substituted: the synthetic name would replace it in the
// engine's output. They still compile as full plans.
if unit, ok := classifyCore(node, grid.stepMs); ok && !unit.keepsName() {
cu := &transpiledUnit{core: *unit, name: syntheticName(len(plan.units)), grid: grid}
plan.units = append(plan.units, cu)
return &parser.VectorSelector{
Name: cu.name,
LabelMatchers: []*labels.Matcher{
labels.MustNewMatcher(labels.MatchEqual, metricNameLabel, cu.name),
},
PosRange: node.PositionRange(),
}
}
}
switch n := node.(type) {
case *parser.ParenExpr:
n.Expr = rewrite(n.Expr, grid, plan, nameSensitive)
case *parser.UnaryExpr:
n.Expr = rewrite(n.Expr, grid, plan, nameSensitive)
case *parser.AggregateExpr:
sensitive := nameSensitive || groupingUsesName(n.Grouping)
n.Expr = rewrite(n.Expr, grid, plan, sensitive)
// n.Param is a scalar/string; nothing transpilable inside for our core.
case *parser.Call:
for i, arg := range n.Args {
n.Args[i] = rewrite(arg, grid, plan, nameSensitive)
}
case *parser.BinaryExpr:
sensitive := nameSensitive || vectorMatchingUsesName(n.VectorMatching)
n.LHS = rewrite(n.LHS, grid, plan, sensitive)
n.RHS = rewrite(n.RHS, grid, plan, sensitive)
case *parser.SubqueryExpr:
// The alert-smoothing idiom fn_over_time((expr)[R:S]) dominates real
// rule fleets; inner units evaluate on the subquery grid, and the
// engine does the smoothing over the synthetic series. Requires an
// explicit whole-second resolution (S == 0 needs the engine's
// default-interval function) and no @ pinning.
stepMs := n.Step.Milliseconds()
rangeMs := n.Range.Milliseconds()
offsetMs := n.OriginalOffset.Milliseconds()
if n.Timestamp == nil && n.StartOrEnd == 0 &&
n.RangeExpr == nil && n.StepExpr == nil && n.OriginalOffsetExpr == nil &&
stepMs > 0 && stepMs%1000 == 0 && rangeMs%1000 == 0 && offsetMs >= 0 {
inner := subqueryGrid(grid, rangeMs, stepMs, offsetMs)
n.Expr = rewrite(n.Expr, inner, plan, nameSensitive)
}
case *parser.StepInvariantExpr, *parser.MatrixSelector,
*parser.VectorSelector, *parser.NumberLiteral, *parser.StringLiteral:
// Leaves, or scopes substitution must not enter.
}
return node
}
func groupingUsesName(grouping []string) bool {
for _, g := range grouping {
if g == metricNameLabel {
return true
}
}
return false
}
func vectorMatchingUsesName(vm *parser.VectorMatching) bool {
if vm == nil {
return false
}
for _, l := range append(append([]string{}, vm.MatchingLabels...), vm.Include...) {
if l == metricNameLabel {
return true
}
}
// Default (all-labels) matching ignores __name__, and by()/ignoring()
// lists were checked above.
return false
}
// isSyntheticSelector reports whether matchers target a compiled unit.
func isSyntheticSelector(matchers []*labels.Matcher) (string, bool) {
for _, m := range matchers {
if m.Name == metricNameLabel && m.Type == labels.MatchEqual && strings.HasPrefix(m.Value, syntheticNamePrefix) {
return m.Value, true
}
}
return "", false
}

View File

@@ -0,0 +1,161 @@
package clickhouseprometheusv2
import (
"bufio"
"encoding/json"
"fmt"
"os"
"regexp"
"sort"
"strings"
"testing"
"github.com/prometheus/prometheus/promql/parser"
"github.com/stretchr/testify/require"
)
// TestClassifyCorpus measures real-workload compiler coverage: it classifies
// every query of a JSON-lines corpus (one JSON-encoded PromQL string per
// line) with the live classifier and reports full / hybrid / fallback
// shares. Skipped unless PROMQL_CORPUS points to one or more files
// (comma-separated). Dashboard template variables are substituted with
// placeholder values before parsing, mirroring the production render step.
//
// PROMQL_CORPUS=corpus-a.jsonl,corpus-b.jsonl go test -run TestClassifyCorpus -v
func TestClassifyCorpus(t *testing.T) {
corpus := os.Getenv("PROMQL_CORPUS")
if corpus == "" {
t.Skip("PROMQL_CORPUS not set")
}
varRe := regexp.MustCompile(`\{\{\s*\.?[\w.]+\s*\}\}|\[\[\s*[\w.]+\s*\]\]|\$[\w.]+`)
promParser := parser.NewParser(parser.Options{})
for _, path := range strings.Split(corpus, ",") {
f, err := os.Open(path)
require.NoError(t, err)
var full, hybrid, fallbackInstant, fallbackOther, parseErrs int
fallbackReasons := map[string]int{}
scanner := bufio.NewScanner(f)
scanner.Buffer(make([]byte, 1024*1024), 1024*1024)
for scanner.Scan() {
var query string
require.NoError(t, json.Unmarshal(scanner.Bytes(), &query))
query = varRe.ReplaceAllString(query, "placeholder")
expr, err := promParser.ParseExpr(query)
if err != nil {
parseErrs++
continue
}
plan, ok := classify(expr, gridContext{startMs: 1_700_000_000_000, endMs: 1_700_007_200_000, stepMs: 60_000})
switch {
case ok && plan.full:
full++
case ok:
hybrid++
default:
reason := fallbackShape(expr)
fallbackReasons[reason]++
if reason == "instant-selector shape (last-sample-per-step engine path)" {
fallbackInstant++
} else {
fallbackOther++
}
}
}
require.NoError(t, scanner.Err())
_ = f.Close()
total := full + hybrid + fallbackInstant + fallbackOther
if total == 0 {
t.Logf("%s: no parseable queries (%d parse errors)", path, parseErrs)
continue
}
t.Logf("%s: %d queries — full=%d (%.0f%%) hybrid=%d (%.0f%%) fallback=%d (%.0f%%; instant-shape=%d) parse_errors=%d",
path, total,
full, 100*float64(full)/float64(total),
hybrid, 100*float64(hybrid)/float64(total),
fallbackInstant+fallbackOther, 100*float64(fallbackInstant+fallbackOther)/float64(total),
fallbackInstant, parseErrs)
reasons := make([]string, 0, len(fallbackReasons))
for r := range fallbackReasons {
reasons = append(reasons, r)
}
sort.Slice(reasons, func(i, j int) bool { return fallbackReasons[reasons[i]] > fallbackReasons[reasons[j]] })
for _, r := range reasons {
t.Logf(" fallback %4d %s", fallbackReasons[r], r)
}
}
}
// fallbackShape buckets a non-transpilable query by why it stays on the engine
// path, to separate "already served well" (instant selectors on the last-sample-per-step
// path) from genuine compiler gaps.
func fallbackShape(expr parser.Expr) string {
var hasMatrix, hasSubquery, hasAt, hasDurationExpr, overTime bool
rangeFns := map[string]bool{"rate": true, "increase": true, "delta": true, "irate": true, "idelta": true}
var unsupportedFns []string
parser.Inspect(expr, func(node parser.Node, _ []parser.Node) error {
switch n := node.(type) {
case *parser.MatrixSelector:
hasMatrix = true
if n.RangeExpr != nil {
hasDurationExpr = true
}
case *parser.SubqueryExpr:
hasSubquery = true
if n.RangeExpr != nil || n.StepExpr != nil || n.OriginalOffsetExpr != nil {
hasDurationExpr = true
}
case *parser.VectorSelector:
if n.Timestamp != nil || n.StartOrEnd != 0 {
hasAt = true
}
if n.OriginalOffsetExpr != nil {
hasDurationExpr = true
}
case *parser.Call:
if strings.HasSuffix(n.Func.Name, "_over_time") {
overTime = true
} else if !rangeFns[n.Func.Name] {
unsupportedFns = append(unsupportedFns, n.Func.Name)
}
}
return nil
})
switch {
case hasDurationExpr:
return "duration expression (resolved only at evaluation time)"
case hasSubquery:
return "subquery"
case hasAt:
return "@ modifier"
case overTime:
return "*_over_time range function"
case !hasMatrix:
return "instant-selector shape (last-sample-per-step engine path)"
case len(unsupportedFns) > 0:
return fmt.Sprintf("range shape with unsupported function(s): %s", strings.Join(dedupe(unsupportedFns), ",")) //nolint:makezero
default:
return "other range shape"
}
}
func dedupe(in []string) []string {
seen := map[string]bool{}
var out []string
for _, s := range in {
if !seen[s] {
seen[s] = true
out = append(out, s)
}
}
sort.Strings(out)
return out
}

View File

@@ -0,0 +1,550 @@
package clickhouseprometheusv2
import (
"context"
"encoding/json"
"math"
"sort"
"time"
"github.com/SigNoz/signoz/pkg/errors"
"github.com/SigNoz/signoz/pkg/prometheus"
"github.com/prometheus/prometheus/model/labels"
promValue "github.com/prometheus/prometheus/model/value"
"github.com/prometheus/prometheus/promql"
"github.com/prometheus/prometheus/promql/parser"
"github.com/prometheus/prometheus/storage"
"golang.org/x/sync/errgroup"
)
// executor evaluates transpilable PromQL directly in ClickHouse, falling
// back (ok=false) whenever the query shape or the step doesn't qualify. The
// timeSeries*ToGrid functions it builds on are assumed available: the
// supported ClickHouse floor is >= 25.6.
type executor struct {
client *client
engine *prometheus.Engine
parser prometheus.Parser
}
// maxWindowBuckets caps range/step for the windowed *_over_time form: every
// grid slot combines that many bucket partials, and the fleet's windows sit
// well under it ([1m]..[17m] at 30-60s steps) — anything larger is a
// long-range query whose step a dashboard scales up anyway, and the engine
// path serves the rest.
const maxWindowBuckets = 64
// TryExecuteRange transpiles and runs the query in ClickHouse when its shape
// is in the allowlist. ok=false means "not transpilable" and carries no
// error; the caller runs the engine path.
func (e *executor) TryExecuteRange(ctx context.Context, qs string, start, end time.Time, step time.Duration) (promql.Matrix, bool, error) {
expr, err := e.parser.ParseExpr(qs)
if err != nil {
// Let the engine path produce the (enhanced) parse error.
return nil, false, nil
}
plan, ok := classify(expr, queryGrid(start, end, step))
if !ok {
return nil, false, nil
}
// timeSeriesLastToGrid widens its window to max(window, step) — probed: a
// sample aged (window, step] still fills the slot — while the rate/delta
// family enforces the window strictly. The Last-style kinds used to fall
// back when window < step because of that widening; the window-sliver
// filter (see samplesConditions) makes the widening harmless there:
// samples exist only inside (t_k - window, t_k] slivers, so the widened
// window intersected with the data IS the lookback window — and if a
// future ClickHouse stops widening, the unwidened window is the sliver
// too. Correct either way. A non-positive window still falls back: the
// sliver argument needs a real window to filter to.
//
// The windowed *_over_time form gates only the range >= step regime: it
// decomposes the window into whole step buckets (see windowedInner),
// which is exact only when the range is a multiple of the step, and its
// per-slot slide costs range/step bucket combines — bounded by
// maxWindowBuckets so a long-range short-step query cannot turn the
// slide into the bottleneck. range < step needs neither gate: the
// windows are disjoint slivers, aggregated one slot each with no slide.
// Every miss falls back to the engine path, which is exact.
for _, unit := range plan.units {
stepMs := unit.grid.stepMs
if stepMs == 0 {
stepMs = 1000
}
switch {
case unit.core.kind == unitInstant || (unit.core.kind == unitOverTime && unit.core.overFn == "last"):
windowMs := unit.core.rangeMs
if unit.core.kind == unitInstant {
windowMs = e.client.lookbackMs
}
if windowMs <= 0 {
return nil, false, nil
}
case unit.core.kind == unitOverTime:
if unit.core.rangeMs < unit.grid.stepMs {
// Disjoint slivers: no divisibility or width requirement.
continue
}
if unit.core.rangeMs%stepMs != 0 || unit.core.rangeMs/stepMs > maxWindowBuckets {
return nil, false, nil
}
}
}
// Evaluate every unit concurrently on its own grid (the query grid, or a
// subquery grid); each is one series lookup plus one grid query.
results := make([][]transpiledSeries, len(plan.units))
eg, egCtx := errgroup.WithContext(ctx)
for i, unit := range plan.units {
eg.Go(func() error {
res, err := e.executeUnit(egCtx, &unit.core, unit.grid)
if err != nil {
return err
}
results[i] = res
return nil
})
}
if err := eg.Wait(); err != nil {
return nil, true, err
}
if plan.full {
g := plan.units[0].grid
return toMatrix(results[0], g.startMs, g.stepMs), true, nil
}
matrix, err := e.executeHybrid(ctx, plan, results)
if err != nil {
return nil, true, err
}
return matrix, true, nil
}
// queryGrid derives the top-level evaluation grid; step 0 is an instant
// query: a single evaluation at end, whatever start was.
func queryGrid(start, end time.Time, step time.Duration) gridContext {
startMs, endMs, stepMs := start.UnixMilli(), end.UnixMilli(), step.Milliseconds()
if stepMs == 0 {
startMs = endMs
}
return gridContext{startMs: startMs, endMs: endMs, stepMs: stepMs}
}
// transpiledSeries is one output series of a unit: projected labels and one
// value pointer per grid point (nil = absent).
type transpiledSeries struct {
lset labels.Labels
values []*float64
}
// executeUnit runs one core unit on its grid: series lookup (budgets,
// fingerprints, metric names), then the single grid query, then the
// scalar-op pipeline.
func (e *executor) executeUnit(ctx context.Context, unit *coreUnit, grid gridContext) ([]transpiledSeries, error) {
startMs, endMs, stepMs := grid.startMs, grid.endMs, grid.stepMs
windowMs := unit.rangeMs
if unit.kind == unitInstant {
windowMs = e.client.lookbackMs
}
dataStart := startMs - unit.offsetMs - windowMs
dataEnd := endMs - unit.offsetMs
seriesQuery, seriesArgs, err := buildSeriesQuery(dataStart, dataEnd, unit.matchers)
if err != nil {
return nil, err
}
lookup, err := e.client.selectSeries(ctx, seriesQuery, seriesArgs)
if err != nil {
return nil, err
}
if len(lookup.fingerprints) == 0 {
return nil, nil
}
query, args, err := buildUnitSQL(unit, lookup.metricNames, dataStart, dataEnd, startMs, endMs, stepMs, e.client.lookbackMs)
if err != nil {
return nil, err
}
rows, err := e.client.telemetryStore.ClickhouseDB().Query(e.client.withContext(ctx, "transpiledUnit"), query, args...)
if err != nil {
return nil, err
}
defer rows.Close()
// Name-dropping units keep __name__ in the SQL group key so distinct
// metrics never merge server-side; the name comes off here. Two metrics
// can then share a labelset — the engine merges their samples into one
// series when they never overlap in time (a selector spanning metrics
// whose series alternate across lookback windows) and raises the
// duplicate-labelset error only when two samples land on the same
// evaluation timestamp. mergeSameLabelsetSeries reproduces exactly that.
stripName := !unit.hasAgg && !unit.keepsName()
// by (...) units return one plain column per grouped label; everything
// else returns the single canonical JSON key (see groupKeyColumns).
keyNames := groupKeyColumns(unit)
keyVals := make([]string, max(len(keyNames), 1))
targets := make([]any, 0, len(keyVals)+1)
for i := range keyVals {
targets = append(targets, &keyVals[i])
}
var gridValues []*float64
targets = append(targets, &gridValues)
var out []transpiledSeries
for rows.Next() {
if err := rows.Scan(targets...); err != nil {
return nil, err
}
var lset labels.Labels
if keyNames != nil {
builder := labels.NewScratchBuilder(len(keyNames))
for i, name := range keyNames {
// An empty extracted value is the label being absent.
if keyVals[i] != "" {
builder.Add(name, keyVals[i])
}
}
builder.Sort()
lset = builder.Labels()
} else {
lset, err = labelsFromGroupKey(keyVals[0])
if err != nil {
return nil, err
}
}
if stripName {
lset = labels.NewBuilder(lset).Del(metricNameLabel).Labels()
}
values := make([]*float64, len(gridValues))
copy(values, gridValues)
applyScalarOps(unit.ops, values)
out = append(out, transpiledSeries{lset: lset, values: values})
}
if err := rows.Err(); err != nil {
return nil, err
}
if stripName {
if out, err = mergeSameLabelsetSeries(out); err != nil {
return nil, err
}
}
sort.Slice(out, func(i, j int) bool { return labels.Compare(out[i].lset, out[j].lset) < 0 })
return out, nil
}
// mergeSameLabelsetSeries combines series left with identical labelsets by a
// name strip, slot by slot: the engine assembles its result matrix by
// labelset, so post-strip twins whose points interleave in time are one
// series to it, and two values on the same evaluation timestamp are its
// duplicate-labelset error — v1 would have errored there too, so silently
// picking one value would be a divergence.
func mergeSameLabelsetSeries(in []transpiledSeries) ([]transpiledSeries, error) {
index := make(map[uint64]int, len(in))
out := in[:0]
for _, s := range in {
hash := s.lset.Hash()
idx, ok := index[hash]
if ok && labels.Equal(out[idx].lset, s.lset) {
dst := out[idx].values
for k, v := range s.values {
if v == nil {
continue
}
if dst[k] != nil {
return nil, errors.NewInvalidInputf(errors.CodeInvalidInput, "vector cannot contain metrics with the same labelset")
}
dst[k] = v
}
continue
}
index[hash] = len(out)
out = append(out, s)
}
return out, nil
}
// labelsFromGroupKey parses the toJSONString'd sorted [key, value] pairs.
func labelsFromGroupKey(gkey string) (labels.Labels, error) {
var pairs [][]string
if err := json.Unmarshal([]byte(gkey), &pairs); err != nil {
return labels.EmptyLabels(), errors.WrapInternalf(err, errors.CodeInternal, "malformed compiled group key %q", gkey)
}
builder := labels.NewScratchBuilder(len(pairs))
for _, p := range pairs {
if len(p) != 2 {
return labels.EmptyLabels(), errors.NewInternalf(errors.CodeInternal, "malformed compiled group key pair %q", gkey)
}
builder.Add(p[0], p[1])
}
builder.Sort()
return builder.Labels(), nil
}
// applyScalarOps applies the number-literal op pipeline in place, with the
// same float64 arithmetic and comparison-filter semantics as the engine.
func applyScalarOps(ops []scalarOp, values []*float64) {
for _, op := range ops {
for i, v := range values {
if v == nil {
continue
}
lhs, rhs := *v, op.scalar
if op.scalarOnLeft {
lhs, rhs = op.scalar, *v
}
switch op.op {
case parser.ADD:
res := lhs + rhs
values[i] = &res
case parser.SUB:
res := lhs - rhs
values[i] = &res
case parser.MUL:
res := lhs * rhs
values[i] = &res
case parser.DIV:
res := lhs / rhs
values[i] = &res
case parser.MOD:
res := math.Mod(lhs, rhs)
values[i] = &res
case parser.POW:
res := math.Pow(lhs, rhs)
values[i] = &res
default:
keep := compare(op.op, lhs, rhs)
switch {
case op.returnBool:
res := 0.0
if keep {
res = 1.0
}
values[i] = &res
case keep:
// Filter comparisons keep the vector-side value.
vec := *v
values[i] = &vec
default:
values[i] = nil
}
}
}
}
}
func compare(op parser.ItemType, lhs, rhs float64) bool {
switch op {
case parser.EQLC:
return lhs == rhs
case parser.NEQ:
return lhs != rhs
case parser.GTR:
return lhs > rhs
case parser.LSS:
return lhs < rhs
case parser.GTE:
return lhs >= rhs
case parser.LTE:
return lhs <= rhs
}
return false
}
// toMatrix converts a unit result to a promql matrix on the query grid.
func toMatrix(series []transpiledSeries, startMs, stepMs int64) promql.Matrix {
matrix := make(promql.Matrix, 0, len(series))
for _, s := range series {
var floats []promql.FPoint
for i, v := range s.values {
if v == nil {
continue
}
floats = append(floats, promql.FPoint{T: startMs + int64(i)*stepMs, F: *v})
}
if len(floats) == 0 {
continue
}
matrix = append(matrix, promql.Series{Metric: s.lset, Floats: floats})
}
return matrix
}
// executeHybrid substitutes each unit's grids into the engine as synthetic
// series and evaluates the rewritten query over a storage that serves
// synthetic selectors from memory and everything else from the live querier.
// Absent grid points become stale markers so the engine's lookback cannot
// resurrect the previous grid point. Each unit's synthetic samples sit on its
// own grid (query grid, or subquery grid for units inside subqueries).
func (e *executor) executeHybrid(ctx context.Context, plan *transpilePlan, results [][]transpiledSeries) (promql.Matrix, error) {
synthetic := make(map[string][]*series, len(plan.units))
staleMarker := math.Float64frombits(promValue.StaleNaN)
queryGrid := plan.grid
for i, unit := range plan.units {
g := unit.grid
gridLen := 1
if g.stepMs > 0 {
gridLen = int((g.endMs-g.startMs)/g.stepMs) + 1
}
list := make([]*series, 0, len(results[i]))
for _, cs := range results[i] {
builder := labels.NewBuilder(cs.lset)
builder.Set(metricNameLabel, unit.name)
s := &series{lset: builder.Labels()}
s.ts = make([]int64, 0, gridLen)
s.vs = make([]float64, 0, gridLen)
for idx := 0; idx < gridLen; idx++ {
t := g.startMs + int64(idx)*g.stepMs
var v float64
if idx < len(cs.values) && cs.values[idx] != nil {
v = *cs.values[idx]
} else {
v = staleMarker
}
s.ts = append(s.ts, t)
s.vs = append(s.vs, v)
}
list = append(list, s)
}
synthetic[unit.name] = list
}
hybrid := &hybridQueryable{client: e.client, synthetic: synthetic}
var qry promql.Query
var err error
if queryGrid.stepMs == 0 {
qry, err = e.engine.NewInstantQuery(ctx, hybrid, nil, plan.rewritten, time.UnixMilli(queryGrid.endMs))
} else {
qry, err = e.engine.NewRangeQuery(ctx, hybrid, nil, plan.rewritten, time.UnixMilli(queryGrid.startMs), time.UnixMilli(queryGrid.endMs), time.Duration(queryGrid.stepMs)*time.Millisecond)
}
if err != nil {
return nil, err
}
defer qry.Close()
res := qry.Exec(ctx)
if res.Err != nil {
return nil, res.Err
}
matrix, err := resultToMatrix(res)
if err != nil {
return nil, err
}
// Deep-copy before Close returns the result's slices to the engine pool,
// and drop the synthetic __name__ that filter comparisons preserve.
out := make(promql.Matrix, 0, len(matrix))
for _, s := range matrix {
lset := s.Metric
if name := lset.Get(metricNameLabel); len(name) >= len(syntheticNamePrefix) && name[:len(syntheticNamePrefix)] == syntheticNamePrefix {
builder := labels.NewBuilder(lset)
builder.Del(metricNameLabel)
lset = builder.Labels()
}
floats := make([]promql.FPoint, len(s.Floats))
copy(floats, s.Floats)
out = append(out, promql.Series{Metric: lset.Copy(), Floats: floats})
}
// The strip can leave twins: two units' outputs distinguishable only by
// their synthetic names (e.g. -metric_a or -metric_b, both {} to the
// engine's real evaluation once names dropped). The engine assembles its
// matrix by labelset, merging such temporally-disjoint elements into one
// series; reproduce that, with its duplicate error on same-timestamp
// overlap.
out, err = mergeMatrixByLabelset(out)
if err != nil {
return nil, err
}
sort.Slice(out, func(i, j int) bool { return labels.Compare(out[i].Metric, out[j].Metric) < 0 })
return out, nil
}
// mergeMatrixByLabelset merges series sharing a labelset by interleaving
// their points in timestamp order; a timestamp present in both is the
// engine's duplicate-labelset error.
func mergeMatrixByLabelset(matrix promql.Matrix) (promql.Matrix, error) {
index := make(map[uint64]int, len(matrix))
out := matrix[:0]
for _, s := range matrix {
hash := s.Metric.Hash()
idx, ok := index[hash]
if ok && labels.Equal(out[idx].Metric, s.Metric) {
merged := make([]promql.FPoint, 0, len(out[idx].Floats)+len(s.Floats))
a, b := out[idx].Floats, s.Floats
for len(a) > 0 && len(b) > 0 {
switch {
case a[0].T < b[0].T:
merged, a = append(merged, a[0]), a[1:]
case b[0].T < a[0].T:
merged, b = append(merged, b[0]), b[1:]
default:
return nil, errors.NewInvalidInputf(errors.CodeInvalidInput, "vector cannot contain metrics with the same labelset")
}
}
out[idx].Floats = append(append(merged, a...), b...)
continue
}
index[hash] = len(out)
out = append(out, s)
}
return out, nil
}
func resultToMatrix(res *promql.Result) (promql.Matrix, error) {
switch v := res.Value.(type) {
case promql.Matrix:
return v, nil
case promql.Vector:
matrix := make(promql.Matrix, 0, len(v))
for _, s := range v {
matrix = append(matrix, promql.Series{Metric: s.Metric, Floats: []promql.FPoint{{T: s.T, F: s.F}}})
}
return matrix, nil
case promql.Scalar:
return promql.Matrix{{Metric: labels.EmptyLabels(), Floats: []promql.FPoint{{T: v.T, F: v.V}}}}, nil
default:
return nil, errors.NewInternalf(errors.CodeInternal, "unexpected hybrid result type %T", res.Value)
}
}
// hybridQueryable serves synthetic (compiled) selectors from memory and
// everything else from the live storage.
type hybridQueryable struct {
client *client
synthetic map[string][]*series
}
func (h *hybridQueryable) Querier(mint, maxt int64) (storage.Querier, error) {
return &hybridQuerier{
querier: querier{mint: mint, maxt: maxt, client: h.client},
synthetic: h.synthetic,
}, nil
}
type hybridQuerier struct {
querier
synthetic map[string][]*series
}
func (h *hybridQuerier) Select(ctx context.Context, sortSeries bool, hints *storage.SelectHints, matchers ...*labels.Matcher) storage.SeriesSet {
if name, ok := isSyntheticSelector(matchers); ok {
list := h.synthetic[name]
if sortSeries {
sorted := make([]*series, len(list))
copy(sorted, list)
sort.Slice(sorted, func(i, j int) bool { return labels.Compare(sorted[i].lset, sorted[j].lset) < 0 })
list = sorted
}
return newSeriesSet(list)
}
return h.querier.Select(ctx, sortSeries, hints, matchers...)
}

View File

@@ -0,0 +1,412 @@
package clickhouseprometheusv2
import (
"fmt"
"strings"
"github.com/huandu/go-sqlbuilder"
)
// experimental gate for the timeSeries*ToGrid aggregate functions; attached
// as a SETTINGS clause so telemetrystore hooks cannot clobber it.
const gridFunctionsSetting = "SETTINGS allow_experimental_ts_to_grid_aggregate_function = 1"
var aggForEach = map[string]string{
"sum": "sumForEach",
"min": "minForEach",
"max": "maxForEach",
"avg": "avgForEach",
"count": "countForEach",
}
// buildUnitSQL renders the single ClickHouse query evaluating a core unit
// over the [startMs, endMs] / stepMs evaluation grid: per-series grids via a
// timeSeries*ToGrid aggregate (or a windowed aggregation for *_over_time),
// then spatial aggregation with -ForEach combinators grouped by a canonical
// JSON key of the projected label pairs.
//
// The heavy level is shaped to run on the shards: the top-level FROM is the
// distributed samples table and the group-key join partner is a subquery on
// the shard-local time series table, so the shard rewrite executes the join
// and the per-(fingerprint, group key) aggregation next to the data —
// complete by fingerprint co-locality (see localTimeSeriesTable) — and the
// initiator only merges the per-series states and applies the spatial
// -ForEach step. Same layout as the telemetrymetrics statement builder.
// The windowed *_over_time form shares the frame but aggregates per
// (series, group key, step bucket) instead of straight to grids
// (see windowedInner).
//
// The selector's data window is offset-shifted; the resulting grid indices
// map 1:1 onto the query grid (output ts = startMs + i*stepMs). Grid
// parameters are rendered as literals — they are aggregate-function
// parameters, not bindable values.
//
// Statements nest builder-rendered SQL as text, so the returned args must be
// ordered by where each fragment lands in the final statement: ClickHouse
// binds ? placeholders by position. A JOIN renders before WHERE, so a joined
// subquery's args precede the outer query's own condition args.
//
// Row shape: the group-key columns (see groupKeyColumns) followed by
// grid Array(Nullable(Float64)); NULL grid points are absent points (the
// engine's "no value here"), which the -ForEach combinators preserve: an
// index where every series is NULL aggregates to NULL, and countForEach's 0
// is mapped back to NULL.
func buildUnitSQL(unit *coreUnit, metricNames []string, dataStart, dataEnd int64, startMs, endMs, stepMs, lookbackMs int64) (string, []any, error) {
selStart := startMs - unit.offsetMs
selEnd := endMs - unit.offsetMs
stepSec := stepMs / 1000
if stepSec == 0 {
// Instant query: start == end, so the grid has one point for any
// positive step.
stepSec = 1
}
windowMs := unit.rangeMs
if unit.kind == unitInstant {
windowMs = lookbackMs
}
windowSec := windowMs / 1000
adjustedTsStart, tsTable := timeSeriesTableFor(dataStart, dataEnd)
keyNames := groupKeyColumns(unit)
// seriesSub computes fingerprint -> group key columns. It reads the
// local series table when it rides inside the shard-rewritten samples
// query, and the distributed one when it joins at the initiator
// (windowed form).
seriesSub := func(table string) (string, []any, error) {
sub := sqlbuilder.NewSelectBuilder()
selects := []string{"fingerprint"}
if keyNames == nil {
selects = append(selects, groupKeyExpr(unit)+" AS gkey")
} else {
// by (...) grouping extracts exactly the listed labels as plain
// columns: no reason to build, sort and stringify every label
// pair per row when the projection is a known short list and
// the label names live in Go anyway.
for i, name := range keyNames {
selects = append(selects, fmt.Sprintf("JSONExtractString(labels, %s) AS g%d", sub.Var(name), i))
}
}
sub.Select(selects...)
sub.From(fmt.Sprintf("%s.%s", databaseName, table))
if err := applySeriesConditions(sub, adjustedTsStart, dataEnd, unit.matchers); err != nil {
return "", nil, err
}
sub.GroupBy(append([]string{"fingerprint"}, keyColumnAliases(keyNames)...)...)
q, args := sub.BuildWithFlavor(sqlbuilder.ClickHouse)
return q, args, nil
}
// samplesConditions adds the samples-side WHERE. The group-key join
// restricts to the matched series; no fingerprint condition is added
// here.
samplesConditions := func(sb *sqlbuilder.SelectBuilder, excludeStale bool) {
switch len(metricNames) {
case 0:
// No name constraint derivable; correct but unable to use the
// metric_name primary-key prefix.
case 1:
sb.Where(sb.EQ("metric_name", metricNames[0]))
default:
sb.Where(sb.In("metric_name", sqlbuilder.List(metricNames)))
}
// temporality precedes metric_name in the samples primary key; the
// fingerprints already come from these temporalities, so this only
// helps granule pruning.
sb.Where("temporality IN ['Cumulative', 'Unspecified']")
// When the window is narrower than the step, the grid windows
// (t_k window, t_k] cover only window/step of the selector's
// timeline; a sample in a gap belongs to no window and cannot move
// any grid point, but the grid aggregate buffers every row it is
// fed. Keeping only in-window rows cut a 36k-series 1w rate from
// 74s/28GiB to 16s/4.3GiB on fleet data — the read stays the same,
// the aggregate input shrinks by the coverage ratio. The lattice
// anchors at selStart (end may sit off-lattice on unaligned grids),
// positiveModulo because samples above selStart make the dividend
// negative, and the upper bound tightens to the last grid point —
// rows past it are equally windowless. window >= step tiles the
// timeline and keeps today's plain bounds.
sliver := stepMs > 0 && windowMs > 0 && windowMs < stepMs
upper := selEnd
if sliver {
upper = selStart + (selEnd-selStart)/stepMs*stepMs
}
// Left-open window: a sample exactly at the window's lower boundary
// is never used (range selectors and lookback are both left-open).
sb.Where(sb.GT("unix_milli", selStart-windowMs), sb.LTE("unix_milli", upper))
if sliver {
sb.Where(fmt.Sprintf("positiveModulo(%s - unix_milli, %s) < %s",
sb.Var(selStart), sb.Var(stepMs), sb.Var(windowMs)))
}
if excludeStale {
// PromQL excludes stale markers from range vectors. Instant
// selectors need the stale rows for shadowing instead.
sb.Where("bitAnd(flags, 1) = 0")
}
}
keyCols := keyColumnAliases(keyNames)
// joinedInner builds the shard-side SELECT for the single-pass kinds:
// grid expression per (fingerprint, group key), group-key join against
// the local series table.
joinedInner := func(gridExpr string, excludeStale bool) (string, []any, error) {
seriesSQL, seriesArgs, err := seriesSub(localTimeSeriesTable(tsTable))
if err != nil {
return "", nil, err
}
sb := sqlbuilder.NewSelectBuilder()
selects := make([]string, 0, len(keyCols)+1)
// A fingerprint is the hash of one labelset, so every group-key
// column is functionally dependent on it: any() is exact, and
// grouping by the fingerprint alone spares hashing the joined
// string per sample row — measured -10-13% on a 1.9B-row rate.
for _, col := range keyCols {
selects = append(selects, fmt.Sprintf("any(series.%s) AS %s", col, col))
}
sb.Select(append(selects, gridExpr+" AS grid")...)
sb.From(fmt.Sprintf("%s.%s AS points", databaseName, distributedSamplesV4))
sb.JoinWithOption(sqlbuilder.InnerJoin, fmt.Sprintf("(%s) AS series", seriesSQL), "points.fingerprint = series.fingerprint")
samplesConditions(sb, excludeStale)
sb.GroupBy("points.fingerprint")
q, args := sb.BuildWithFlavor(sqlbuilder.ClickHouse)
// The join text renders before WHERE: its args come first.
return q, append(seriesArgs, args...), nil
}
var inner string
var innerArgs []any
var err error
switch unit.kind {
case unitInstant:
// Instant selection with stale shadowing: the grid value is the last
// non-stale sample in (t-lookback, t], absent when the overall last
// sample in that window is a stale marker (verified semantics: the
// -If combinator applies to the grid aggregates, and NULL comparisons
// make a stale-latest point absent).
gridParams := fmt.Sprintf("(fromUnixTimestamp64Milli(%d), fromUnixTimestamp64Milli(%d), %d, %d)", selStart, selEnd, stepSec, windowSec)
gridExpr := fmt.Sprintf(
"arrayMap((tall, tok, vok) -> if(tall IS NULL OR tok IS NULL OR tall != tok, NULL, vok), timeSeriesLastToGrid%s(fromUnixTimestamp64Milli(unix_milli), toFloat64(unix_milli)), timeSeriesLastToGridIf%s(fromUnixTimestamp64Milli(unix_milli), toFloat64(unix_milli), bitAnd(flags, 1) = 0), timeSeriesLastToGridIf%s(fromUnixTimestamp64Milli(unix_milli), value, bitAnd(flags, 1) = 0))",
gridParams, gridParams, gridParams,
)
inner, innerArgs, err = joinedInner(gridExpr, false)
case unitOverTime:
if unit.overFn == "last" {
// last_over_time == last non-stale sample in the window: the
// stale rows are already excluded in WHERE.
gridExpr := fmt.Sprintf(
"timeSeriesLastToGrid(fromUnixTimestamp64Milli(%d), fromUnixTimestamp64Milli(%d), %d, %d)(fromUnixTimestamp64Milli(unix_milli), value)",
selStart, selEnd, stepSec, windowSec,
)
inner, innerArgs, err = joinedInner(gridExpr, true)
break
}
inner, innerArgs, err = windowedInner(unit, samplesConditions, seriesSub, keyCols, localTimeSeriesTable(tsTable), selStart, selEnd, stepMs, windowMs)
default: // unitRange
gridExpr := fmt.Sprintf(
"%s(fromUnixTimestamp64Milli(%d), fromUnixTimestamp64Milli(%d), %d, %d)(fromUnixTimestamp64Milli(unix_milli), value)",
gridFunction[unit.fn], selStart, selEnd, stepSec, windowSec,
)
if unit.fn == fnIncrease {
// increase == rate * range-seconds, exactly: extrapolatedRate
// divides by the range only when isRate.
gridExpr = fmt.Sprintf("arrayMap(x -> x * %d, %s)", windowSec, gridExpr)
}
inner, innerArgs, err = joinedInner(gridExpr, true)
}
if err != nil {
return "", nil, err
}
spatial := "maxForEach(grid)"
switch {
case !unit.hasAgg:
// Per-series output: one row per (labels-minus-__name__) group.
// Distinct fingerprints can collapse onto the same projected label
// set only via a regex __name__ selector over metrics with identical
// other labels; maxForEach is a deterministic NULL-skipping merge and
// the identity for the overwhelmingly common one-fingerprint group.
case unit.aggOp.String() == "count":
// count over an all-absent index is an absent point, not 0.
spatial = "arrayMap(c -> if(c = 0, NULL, toFloat64(c)), countForEach(grid))"
default:
spatial = fmt.Sprintf("%s(grid)", aggForEach[unit.aggOp.String()])
}
keyList := strings.Join(keyCols, ", ")
query := fmt.Sprintf("SELECT %s, %s AS grid FROM (%s) GROUP BY %s %s", keyList, spatial, inner, keyList, gridFunctionsSetting)
return query, innerArgs, nil
}
// groupKeyColumns returns the label names to extract as plain group-key
// columns, or nil when the unit needs the canonical JSON key instead. Only
// by (...) grouping qualifies: its projection is a known short list, so
// extracting each label directly beats building, sorting and stringifying
// every label pair per row. without and no-aggregation project a label SET
// that varies per series — there the sorted-JSON key is load-bearing: the
// sort is what makes two fingerprints with different stored JSON key order
// land in one group, and the string carries the labels back out.
func groupKeyColumns(unit *coreUnit) []string {
if unit.hasAgg && unit.by && len(unit.grouping) > 0 {
return unit.grouping
}
return nil
}
// keyColumnAliases names the group-key columns in every SELECT level: g0..gN
// for direct extraction, the single canonical gkey otherwise.
func keyColumnAliases(keyNames []string) []string {
if keyNames == nil {
return []string{"gkey"}
}
cols := make([]string, len(keyNames))
for i := range keyNames {
cols[i] = fmt.Sprintf("g%d", i)
}
return cols
}
// windowedInner builds the avg/min/max/sum/count _over_time form without
// fanning samples out. It runs only when the range is a whole multiple of
// the step (see the transpile gate), because then the window
// (t_k - range, t_k] is exactly the union of W = range/step step buckets —
// both are left-open on the same boundaries — so bucket membership fully
// determines window membership. Fanning each sample into all W windows it
// covers (ARRAY JOIN) multiplies rows by W, which at long ranges over short
// steps is a row explosion measured in billions.
//
// The bucketing itself is the -Resample combinator: one group per (series,
// group key) whose state is a fixed array of per-bucket aggregates, updated
// in place per sample. Grouping by (series, bucket) instead — measured on a
// 100k-series x 371-bucket workload — creates a 37M-entry hash aggregation
// whose per-thread partial tables scale memory WITH max_threads (12 -> 48
// GiB from 2 to 8 threads, dead at 16) and ships one row per group to the
// initiator; the Resample form carries the same numbers in 100k compact
// array states, like every other unit kind.
//
// The wrapper level slides the window: slot k combines buckets k..k+W-1 by
// direct aggregation over at most W partials — no prefix-sum tricks, so no
// large-minus-large cancellation against the engine's directly-summed
// windows. A slot with zero window count is absent, which also keeps
// min/max honest: their slices filter on the bucket counts, so an empty
// bucket's zero-fill can never be mistaken for a value (a real sample can
// legitimately be 0 or +Inf).
func windowedInner(unit *coreUnit, samplesConditions func(*sqlbuilder.SelectBuilder, bool), seriesSub func(string) (string, []any, error), keyCols []string, localSeriesTable string, selStart, selEnd, stepMs, windowMs int64) (string, []any, error) {
effStepMs := stepMs
if effStepMs == 0 {
effStepMs = 1000
}
lastIdx := (selEnd - selStart) / effStepMs
gridLen := lastIdx + 1
w := windowMs / effStepMs
bucketLen := gridLen + w
// A window narrower than the step makes the windows (t_k - range, t_k]
// pairwise disjoint: there is nothing to slide, each slot reads exactly
// its own window's aggregate. This is exact ONLY over sliver-filtered
// rows (samplesConditions adds the window<step predicate): the index
// below assigns every gap sample to the window above it, and the filter
// is what removes them. Requires a real step — instant queries carry no
// sliver filter, so they keep the tiled form and its gates.
disjoint := stepMs > 0 && windowMs < stepMs
if disjoint {
w = 1
bucketLen = gridLen
}
seriesSQL, seriesArgs, err := seriesSub(localSeriesTable)
if err != nil {
return "", nil, err
}
// Bucket index, shifted so the earliest in-window sample lands at 0:
// jj = ceil((ts - selStart)/step) + W - 1, folded into one intDiv. Slot
// k's window is then buckets jj in [k, k+W-1]. In the disjoint form the
// same ceil lands each in-window sample directly on its slot (W = 1),
// and the numerator stays positive: the fetch floor is
// selStart - range > selStart - step.
jjShift := windowMs
if disjoint {
jjShift = effStepMs
}
jj := fmt.Sprintf("intDiv(unix_milli - %d + %d - 1, %d)", selStart, jjShift, effStepMs)
buckets := sqlbuilder.NewSelectBuilder()
selects := make([]string, 0, len(keyCols)+2)
// any() over the group key: exact because the key is functionally
// dependent on the fingerprint (see joinedInner).
for _, col := range keyCols {
selects = append(selects, fmt.Sprintf("any(series.%s) AS %s", col, col))
}
selects = append(selects, fmt.Sprintf("countResample(0, %d, 1)(value, %s) AS cnts", bucketLen, jj))
if unit.overFn != "count" {
selects = append(selects, fmt.Sprintf("%sResample(0, %d, 1)(value, %s) AS vals", map[string]string{
"avg": "sum",
"sum": "sum",
"min": "min",
"max": "max",
}[unit.overFn], bucketLen, jj))
}
buckets.Select(selects...)
buckets.From(fmt.Sprintf("%s.%s AS points", databaseName, distributedSamplesV4))
buckets.JoinWithOption(sqlbuilder.InnerJoin, fmt.Sprintf("(%s) AS series", seriesSQL), "points.fingerprint = series.fingerprint")
samplesConditions(buckets, true)
buckets.GroupBy("points.fingerprint")
bucketsSQL, bucketsArgs := buckets.BuildWithFlavor(sqlbuilder.ClickHouse)
windowCnt := fmt.Sprintf("arraySum(arraySlice(cnts, k + 1, %d))", w)
var slot string
switch unit.overFn {
case "count":
slot = fmt.Sprintf("if(%s = 0, NULL, toFloat64(%s))", windowCnt, windowCnt)
case "sum":
slot = fmt.Sprintf("if(%s = 0, NULL, arraySum(arraySlice(vals, k + 1, %d)))", windowCnt, w)
case "avg":
slot = fmt.Sprintf("if(%s = 0, NULL, arraySum(arraySlice(vals, k + 1, %d)) / %s)", windowCnt, w, windowCnt)
case "min":
slot = fmt.Sprintf("if(%s = 0, NULL, arrayMin(arrayFilter((v, c) -> c > 0, arraySlice(vals, k + 1, %d), arraySlice(cnts, k + 1, %d))))", windowCnt, w, w)
case "max":
slot = fmt.Sprintf("if(%s = 0, NULL, arrayMax(arrayFilter((v, c) -> c > 0, arraySlice(vals, k + 1, %d), arraySlice(cnts, k + 1, %d))))", windowCnt, w, w)
}
keyList := strings.Join(keyCols, ", ")
inner := fmt.Sprintf(
"SELECT %s, arrayMap(k -> %s, range(toUInt64(%d))) AS grid FROM (%s)",
keyList, slot, gridLen, bucketsSQL,
)
return inner, append(seriesArgs, bucketsArgs...), nil
}
// groupKeyExpr renders the canonical JSON group key for the units whose
// projected label SET varies per series (see groupKeyColumns): the sorted
// [key, value] pairs of the projected labels, JSON-encoded.
// - by () with no labels: one constant group;
// - without (a, b): keep everything except the listed labels and __name__;
// - no aggregation: keep everything including __name__ — even when the
// unit drops the name from its OUTPUT, the key must keep it so distinct
// metrics never merge in SQL; executeUnit strips the name afterwards and
// turns a post-strip collision into the engine's duplicate-labelset
// error instead of a silently invented merge.
func groupKeyExpr(unit *coreUnit) string {
// An empty label value means "label absent" in Prometheus; the stored
// labels JSON can carry empty attribute values, which must not become
// output labels or group keys.
pairs := "arraySort(JSONExtractKeysAndValues(labels, 'String'))"
if !unit.hasAgg {
return fmt.Sprintf("toJSONString(arrayFilter(p -> p.2 != '', %s))", pairs)
}
if unit.by {
// Non-empty by (...) never reaches here; groupKeyColumns extracts
// those labels as plain columns instead.
return "'[]'"
}
excluded := append([]string{metricNameLabel}, unit.grouping...)
return fmt.Sprintf("toJSONString(arrayFilter(p -> p.2 != '' AND p.1 NOT IN (%s), %s))", quotedList(excluded), pairs)
}
func quotedList(items []string) string {
quoted := make([]string, len(items))
for i, s := range items {
quoted[i] = "'" + strings.ReplaceAll(s, "'", "\\'") + "'"
}
return strings.Join(quoted, ", ")
}

View File

@@ -0,0 +1,751 @@
package clickhouseprometheusv2
import (
"context"
"testing"
"time"
"github.com/DATA-DOG/go-sqlmock"
cmock "github.com/SigNoz/clickhouse-go-mock"
"github.com/SigNoz/signoz/pkg/errors"
"github.com/SigNoz/signoz/pkg/factory"
"github.com/SigNoz/signoz/pkg/instrumentation/instrumentationtest"
"github.com/SigNoz/signoz/pkg/prometheus"
"github.com/SigNoz/signoz/pkg/telemetrystore"
"github.com/SigNoz/signoz/pkg/telemetrystore/telemetrystoretest"
"github.com/prometheus/prometheus/model/labels"
"github.com/prometheus/prometheus/promql"
"github.com/prometheus/prometheus/promql/parser"
"github.com/stretchr/testify/assert"
"github.com/stretchr/testify/require"
)
func newTestClient(t *testing.T) (*client, *telemetrystoretest.Provider) {
t.Helper()
store := telemetrystoretest.New(telemetrystore.Config{Provider: "clickhouse"}, sqlmock.QueryMatcherRegexp)
settings := factory.NewScopedProviderSettings(instrumentationtest.New().ToProviderSettings(), "clickhouseprometheusv2_test")
return newClient(settings, store, prometheus.Config{}), store
}
var seriesCols = []cmock.ColumnType{
{Name: "fingerprint", Type: "UInt64"},
{Name: "labels", Type: "String"},
}
func parse(t *testing.T, q string) parser.Expr {
t.Helper()
expr, err := parser.NewParser(parser.Options{}).ParseExpr(q)
require.NoError(t, err)
return expr
}
func TestClassifyFullShapes(t *testing.T) {
tests := []struct {
name string
query string
check func(t *testing.T, u *coreUnit)
}{
{
name: "sum by rate",
query: `sum by (pod) (rate(http_requests_total{job="api"}[5m]))`,
check: func(t *testing.T, u *coreUnit) {
assert.Equal(t, fnRate, u.fn)
assert.Equal(t, int64(300_000), u.rangeMs)
assert.True(t, u.hasAgg)
assert.True(t, u.by)
assert.Equal(t, []string{"pod"}, u.grouping)
},
},
{
name: "bare increase with offset",
query: `increase(errors_total[10m] offset 30m)`,
check: func(t *testing.T, u *coreUnit) {
assert.Equal(t, fnIncrease, u.fn)
assert.Equal(t, int64(1_800_000), u.offsetMs)
assert.False(t, u.hasAgg)
},
},
{
name: "avg without over delta",
query: `avg without (instance) (delta(gauge_metric[15m]))`,
check: func(t *testing.T, u *coreUnit) {
assert.Equal(t, fnDelta, u.fn)
assert.True(t, u.hasAgg)
assert.False(t, u.by)
},
},
{
name: "scalar pipeline with comparison",
query: `sum(rate(x[5m])) * 100 > 5`,
check: func(t *testing.T, u *coreUnit) {
require.Len(t, u.ops, 2)
assert.Equal(t, parser.ItemType(parser.MUL), u.ops[0].op)
assert.Equal(t, 100.0, u.ops[0].scalar)
assert.Equal(t, parser.ItemType(parser.GTR), u.ops[1].op)
},
},
{
name: "scalar on left with unary minus",
query: `-1 * sum(rate(x[5m]))`,
check: func(t *testing.T, u *coreUnit) {
require.Len(t, u.ops, 1)
assert.True(t, u.ops[0].scalarOnLeft)
assert.Equal(t, -1.0, u.ops[0].scalar)
},
},
{
name: "bool comparison",
query: `sum(rate(x[5m])) >= bool 0.5`,
check: func(t *testing.T, u *coreUnit) {
require.Len(t, u.ops, 1)
assert.True(t, u.ops[0].returnBool)
},
},
{
name: "irate utf8 name",
query: `sum by ("k8s.pod.name") (irate({"k8s.container.cpu.time"}[2m]))`,
check: func(t *testing.T, u *coreUnit) {
assert.Equal(t, fnIRate, u.fn)
assert.Equal(t, []string{"k8s.pod.name"}, u.grouping)
},
},
{
name: "bare instant selector keeps name",
query: `up{job="api"}`,
check: func(t *testing.T, u *coreUnit) {
assert.Equal(t, unitInstant, u.kind)
assert.True(t, u.keepsName())
},
},
{
name: "gauge aggregation",
query: `sum by (pod) (container_memory offset 5m)`,
check: func(t *testing.T, u *coreUnit) {
assert.Equal(t, unitInstant, u.kind)
assert.Equal(t, int64(300_000), u.offsetMs)
assert.True(t, u.hasAgg)
assert.False(t, u.keepsName())
},
},
{
name: "gauge comparison keeps name",
query: `container_memory > 100`,
check: func(t *testing.T, u *coreUnit) {
assert.Equal(t, unitInstant, u.kind)
assert.True(t, u.keepsName())
},
},
{
name: "gauge arithmetic drops name",
query: `container_memory / 1024`,
check: func(t *testing.T, u *coreUnit) {
assert.Equal(t, unitInstant, u.kind)
assert.False(t, u.keepsName())
},
},
{
name: "avg_over_time",
query: `max by (node) (avg_over_time(load1[10m]))`,
check: func(t *testing.T, u *coreUnit) {
assert.Equal(t, unitOverTime, u.kind)
assert.Equal(t, "avg", u.overFn)
assert.Equal(t, int64(600_000), u.rangeMs)
},
},
{
name: "last_over_time keeps name",
query: `last_over_time(load1[10m])`,
check: func(t *testing.T, u *coreUnit) {
assert.Equal(t, unitOverTime, u.kind)
assert.Equal(t, "last", u.overFn)
assert.True(t, u.keepsName())
},
},
}
for _, tt := range tests {
t.Run(tt.name, func(t *testing.T) {
plan, ok := classify(parse(t, tt.query), testGrid(60_000))
require.True(t, ok, "expected transpilable")
require.True(t, plan.full, "expected full compilation")
require.Len(t, plan.units, 1)
tt.check(t, &plan.units[0].core)
})
}
}
func TestClassifyFallbackShapes(t *testing.T) {
queries := []struct {
name string
query string
step int64
}{
{"default-resolution subquery", `max_over_time(rate(x[5m])[30m:])`, 60_000},
{"at modifier", `sum(rate(x[5m] @ 1609746000))`, 60_000},
{"at modifier on gauge", `sum(container_memory @ 1609746000)`, 60_000},
{"sub-second step", `sum(rate(x[5m]))`, 500},
{"sub-second range", `sum(rate(x[1500ms]))`, 60_000},
{"by __name__ full", `sum by (__name__) (rate({__name__=~"a|b"}[5m]))`, 60_000},
{"quantile_over_time unsupported", `quantile_over_time(0.9, load1[10m])`, 60_000},
// Duration expressions resolve into the selectors' static fields only
// at evaluation time; classification reads those fields as zero, so
// transpiling would silently use the wrong offset (caught by the
// conformance corpus' duration_expression.test cases). Offset
// expressions parse without the experimental-parser flag, so they do
// reach the transpiler; range-position expressions are rejected at
// parse (the RangeExpr/StepExpr guards are defense-in-depth).
{"duration expression offset on instant", `x offset step()`, 60_000},
{"duration expression offset arithmetic", `x offset -step()*2`, 60_000},
{"duration expression offset on range", `sum(rate(x[5m] offset max(3s, step())))`, 60_000},
{"duration expression subquery step", `max_over_time(rate(x[5m])[30m:step()])`, 60_000},
}
for _, tt := range queries {
t.Run(tt.name, func(t *testing.T) {
_, ok := classify(parse(t, tt.query), testGrid(tt.step))
assert.False(t, ok, "expected fallback for %s", tt.query)
})
}
}
func TestClassifyHybridShapes(t *testing.T) {
tests := []struct {
name string
query string
wantUnits int
wantRewritten string
}{
{
name: "histogram quantile",
query: `histogram_quantile(0.95, sum by (le) (rate(http_bucket[5m])))`,
wantUnits: 1,
wantRewritten: `histogram_quantile(0.95, __signoz_transpiled_0__)`,
},
{
name: "topk over compiled",
query: `topk(5, sum by (pod) (rate(x[5m])))`,
wantUnits: 1,
wantRewritten: `topk(5, __signoz_transpiled_0__)`,
},
{
name: "ratio of compiled units",
query: `sum(rate(a[5m])) / sum(rate(b[5m]))`,
wantUnits: 2,
wantRewritten: `__signoz_transpiled_0__ / __signoz_transpiled_1__`,
},
{
name: "or vector zero",
query: `sum(rate(a[5m])) or vector(0)`,
wantUnits: 1,
wantRewritten: `__signoz_transpiled_0__ or vector(0)`,
},
{
name: "quantile agg over compiled rate",
query: `quantile(0.9, rate(x[5m]))`,
wantUnits: 1,
wantRewritten: `quantile(0.9, __signoz_transpiled_0__)`,
},
{
name: "non-literal scalar side stays engine-side",
query: `sum(rate(x[5m])) * scalar(y)`,
wantUnits: 1,
wantRewritten: `__signoz_transpiled_0__ * scalar(y)`,
},
{
name: "compiled mixed with raw selector",
query: `sum by (pod) (rate(a[5m])) / on (pod) group_left () b`,
wantUnits: 1,
wantRewritten: `__signoz_transpiled_0__ / on (pod) group_left () b`,
},
}
for _, tt := range tests {
t.Run(tt.name, func(t *testing.T) {
plan, ok := classify(parse(t, tt.query), testGrid(60_000))
require.True(t, ok)
assert.False(t, plan.full)
assert.Len(t, plan.units, tt.wantUnits)
assert.Equal(t, tt.wantRewritten, plan.rewritten)
})
}
}
func TestClassifyHybridGuards(t *testing.T) {
t.Run("no substitution under on(__name__)", func(t *testing.T) {
plan, ok := classify(parse(t, `sum(rate(a[5m])) * on (__name__) b`), testGrid(60_000))
_ = plan
assert.False(t, ok, "matching on __name__ must not see synthetic names")
})
t.Run("no substitution inside @-pinned subquery", func(t *testing.T) {
_, ok := classify(parse(t, `max_over_time(rate(x[5m])[30m:1m] @ 1609746000)`), testGrid(60_000))
assert.False(t, ok)
})
}
// The alert-smoothing idiom: units inside a fixed-resolution subquery
// evaluate on the subquery grid — epoch-aligned multiples of the resolution,
// starting strictly after (outer start - range), exactly as the engine
// derives it.
func TestClassifySubqueryUnits(t *testing.T) {
grid := gridContext{startMs: 1_700_000_030_000, endMs: 1_700_007_200_000, stepMs: 60_000}
plan, ok := classify(parse(t, `min_over_time((sum by (ns) (increase(x[5m])))[10m:5m]) > 0`), grid)
require.True(t, ok)
require.False(t, plan.full)
require.Len(t, plan.units, 1)
assert.Equal(t, `min_over_time(__signoz_transpiled_0__[10m:5m]) > 0`, plan.rewritten)
unit := plan.units[0]
// lower bound = outer start - range = 1_699_999_430_000; first multiple
// of 300_000 strictly greater is 1_699_999_500_000.
assert.Equal(t, int64(1_699_999_500_000), unit.grid.startMs)
assert.Equal(t, grid.endMs, unit.grid.endMs)
assert.Equal(t, int64(300_000), unit.grid.stepMs)
assert.Equal(t, fnIncrease, unit.core.fn)
t.Run("subquery offset shifts the grid", func(t *testing.T) {
plan, ok := classify(parse(t, `max_over_time((sum(rate(x[5m])))[10m:5m] offset 30m)`), grid)
require.True(t, ok)
require.Len(t, plan.units, 1)
// lower = start - offset - range = 1_699_997_630_000 -> first
// multiple of 300_000 above = 1_699_997_700_000; end shifts too.
assert.Equal(t, int64(1_699_997_700_000), plan.units[0].grid.startMs)
assert.Equal(t, grid.endMs-1_800_000, plan.units[0].grid.endMs)
})
t.Run("mollusk ratio-inside-subquery idiom", func(t *testing.T) {
q := `min_over_time(((sum by (a) (rate(m1[5m]))) / (avg by (a) (m2)))[5m:1m])`
plan, ok := classify(parse(t, q), grid)
require.True(t, ok)
// Both sides compile on the subquery grid: the rate side and the
// gauge aggregation side; the engine joins them and smooths.
require.Len(t, plan.units, 2)
assert.Equal(t, int64(60_000), plan.units[0].grid.stepMs)
assert.Equal(t, unitInstant, plan.units[1].core.kind)
assert.Contains(t, plan.rewritten, `__signoz_transpiled_0__ / __signoz_transpiled_1__`)
})
}
func TestBuildUnitSQL(t *testing.T) {
unit := &coreUnit{
fn: fnRate,
rangeMs: 300_000,
hasAgg: true,
aggOp: parser.SUM,
by: true,
grouping: []string{"pod"},
matchers: []*labels.Matcher{mustMatcher(t, labels.MatchEqual, "__name__", "http_requests_total")},
}
sql, args, err := buildUnitSQL(unit, []string{"http_requests_total"}, 1_699_999_700_000, 1_700_003_600_000, 1_700_000_000_000, 1_700_003_600_000, 60_000, 300_000)
require.NoError(t, err)
assert.Contains(t, sql, "timeSeriesRateToGrid(fromUnixTimestamp64Milli(1700000000000), fromUnixTimestamp64Milli(1700003600000), 60, 300)(fromUnixTimestamp64Milli(unix_milli), value)")
assert.Contains(t, sql, "unix_milli > ? AND unix_milli <= ?")
assert.Contains(t, sql, "bitAnd(flags, 1) = 0")
assert.Contains(t, sql, "sumForEach(grid)")
// The group-key join rides inside the shard query: distributed samples
// at the top level, the local series table in the join subquery, the
// grid aggregation grouped per (fingerprint, group key) shard-side.
assert.Contains(t, sql, "FROM signoz_metrics.distributed_samples_v4 AS points INNER JOIN (SELECT fingerprint,")
assert.Contains(t, sql, "FROM signoz_metrics.time_series_v4 WHERE")
// The group key is functionally dependent on the fingerprint (one
// labelset per fingerprint): any() is exact and the per-row hash key
// shrinks to the fingerprint alone.
assert.Contains(t, sql, "any(series.g0) AS g0")
assert.Contains(t, sql, "GROUP BY points.fingerprint)")
// No samples-side fingerprint condition: the group-key join restricts.
assert.NotContains(t, sql, "points.fingerprint IN (")
// by (pod) extracts the grouped label directly — no per-row JSON
// build/sort/stringify for a known projection.
assert.Contains(t, sql, "JSONExtractString(labels, ?) AS g0")
assert.NotContains(t, sql, "toJSONString")
assert.Contains(t, sql, "SETTINGS allow_experimental_ts_to_grid_aggregate_function = 1")
// Args follow placeholder order: the joined series subquery renders
// before the samples WHERE, and its select list ('pod') renders before
// its own conditions.
assert.Equal(t, []any{"pod", "http_requests_total", int64(1_699_999_200_000), int64(1_700_003_600_000), "http_requests_total", int64(1_699_999_700_000), int64(1_700_003_600_000)}, args)
}
func TestBuildUnitSQLIncreaseAndOffset(t *testing.T) {
unit := &coreUnit{
fn: fnIncrease,
rangeMs: 600_000,
offsetMs: 1_800_000,
matchers: []*labels.Matcher{mustMatcher(t, labels.MatchEqual, "__name__", "errors_total")},
}
sql, _, err := buildUnitSQL(unit, nil, 1_699_997_600_000, 1_700_001_800_000, 1_700_000_000_000, 1_700_003_600_000, 60_000, 300_000)
require.NoError(t, err)
// Grid and window shift by the offset; increase multiplies rate by the
// range in seconds.
assert.Contains(t, sql, "fromUnixTimestamp64Milli(1699998200000), fromUnixTimestamp64Milli(1700001800000)")
assert.Contains(t, sql, "arrayMap(x -> x * 600, timeSeriesRateToGrid")
assert.Contains(t, sql, "maxForEach(grid)")
}
func TestBuildUnitSQLOverLimitJoinOnly(t *testing.T) {
// Past the inline limit no fingerprint filter is rendered: the series
// join restricts to the matched fingerprints on its own.
unit := &coreUnit{
fn: fnRate,
rangeMs: 300_000,
hasAgg: true,
aggOp: parser.SUM,
by: true,
matchers: []*labels.Matcher{mustMatcher(t, labels.MatchEqual, "__name__", "http_requests_total")},
}
sql, _, err := buildUnitSQL(unit, []string{"http_requests_total"}, 1_699_999_700_000, 1_700_003_600_000, 1_700_000_000_000, 1_700_003_600_000, 60_000, 300_000)
require.NoError(t, err)
assert.NotContains(t, sql, "points.fingerprint IN")
assert.Contains(t, sql, "INNER JOIN (SELECT fingerprint,")
assert.Contains(t, sql, "FROM signoz_metrics.time_series_v4 WHERE")
}
func TestBuildUnitSQLWindowSliver(t *testing.T) {
// rate[5m] on a 30m grid evaluates only a 5m sliver before each grid
// point — samples in the gaps belong to no window and would only be
// buffered by the grid aggregate. The WHERE must keep exactly the
// in-window rows: positiveModulo anchored at the selector start (end
// can sit off-lattice on unaligned grids, and samples above the start
// make the plain modulo dividend negative), and the scan capped at the
// last grid point — rows past it are equally windowless.
unit := &coreUnit{
fn: fnRate,
rangeMs: 300_000,
hasAgg: true,
aggOp: parser.SUM,
by: true,
grouping: []string{"pod"},
matchers: []*labels.Matcher{mustMatcher(t, labels.MatchEqual, "__name__", "http_requests_total")},
}
sql, args, err := buildUnitSQL(unit, []string{"http_requests_total"}, 1_699_999_700_000, 1_700_003_600_000, 1_700_000_000_000, 1_700_003_600_000, 1_800_000, 300_000)
require.NoError(t, err)
assert.Contains(t, sql, "positiveModulo(? - unix_milli, ?) < ?")
assert.Equal(t, []any{"pod", "http_requests_total", int64(1_699_999_200_000), int64(1_700_003_600_000), "http_requests_total", int64(1_699_999_700_000), int64(1_700_003_600_000), int64(1_700_000_000_000), int64(1_800_000), int64(300_000)}, args)
t.Run("off-lattice end caps the scan at the last grid point", func(t *testing.T) {
// end - start = 50m at a 30m step: the only grid points are start
// and start+30m; samples in the trailing 20m serve no window.
_, args, err := buildUnitSQL(unit, []string{"http_requests_total"}, 1_699_999_700_000, 1_700_003_000_000, 1_700_000_000_000, 1_700_003_000_000, 1_800_000, 300_000)
require.NoError(t, err)
assert.Contains(t, args, int64(1_700_001_800_000))
})
t.Run("window covering the step keeps plain bounds", func(t *testing.T) {
sql, _, err := buildUnitSQL(unit, []string{"http_requests_total"}, 1_699_999_700_000, 1_700_003_600_000, 1_700_000_000_000, 1_700_003_600_000, 60_000, 300_000)
require.NoError(t, err)
assert.NotContains(t, sql, "positiveModulo")
})
}
func TestBuildUnitSQLWindowedBucketsWithoutFanOut(t *testing.T) {
// The window is W = range/step whole buckets, so each sample lands in
// exactly one bucket via GROUP BY and the window slides over bucket
// partials — fanning samples into every covered window (ARRAY JOIN)
// multiplies rows by W, a row explosion at long ranges.
unit := &coreUnit{
kind: unitOverTime,
overFn: "avg",
rangeMs: 600_000,
matchers: []*labels.Matcher{mustMatcher(t, labels.MatchEqual, "__name__", "node_load1")},
}
sql, _, err := buildUnitSQL(unit, []string{"node_load1"}, 1_699_999_400_000, 1_700_003_600_000, 1_700_000_000_000, 1_700_003_600_000, 60_000, 600_000)
require.NoError(t, err)
assert.NotContains(t, sql, "ARRAY JOIN")
// One group per series with fixed per-bucket arrays (-Resample); the
// bucket index jj = ceil((ts - start)/step) + W - 1 folded into a single
// intDiv. Grouping by (series, bucket) instead measured 37M hash groups
// whose per-thread partials scale memory with max_threads.
assert.Contains(t, sql, "countResample(0, 71, 1)(value, intDiv(unix_milli - 1700000000000 + 600000 - 1, 60000)) AS cnts")
assert.Contains(t, sql, "sumResample(0, 71, 1)(value, intDiv(unix_milli - 1700000000000 + 600000 - 1, 60000)) AS vals")
assert.Contains(t, sql, "any(series.gkey) AS gkey")
assert.Contains(t, sql, "GROUP BY points.fingerprint)")
assert.NotContains(t, sql, "jj) AS jj")
assert.Contains(t, sql, "INNER JOIN (SELECT fingerprint,")
assert.Contains(t, sql, "FROM signoz_metrics.time_series_v4 WHERE")
// Slide: W = 10 buckets per slot, absent when the window count is 0.
assert.Contains(t, sql, "arraySum(arraySlice(cnts, k + 1, 10))")
assert.Contains(t, sql, "arraySum(arraySlice(vals, k + 1, 10))")
}
func TestBuildUnitSQLDisjointOverTime(t *testing.T) {
// avg_over_time[5m] on a 30m grid: the windows are pairwise disjoint,
// so there is no slide — one Resample bucket per grid slot, read
// directly. Exact only together with the window-sliver predicate, which
// removes the gap samples the ceil index would otherwise assign to the
// window above them.
unit := &coreUnit{
kind: unitOverTime,
overFn: "avg",
rangeMs: 300_000,
matchers: []*labels.Matcher{mustMatcher(t, labels.MatchEqual, "__name__", "node_load1")},
}
sql, _, err := buildUnitSQL(unit, []string{"node_load1"}, 1_699_999_700_000, 1_700_003_600_000, 1_700_000_000_000, 1_700_003_600_000, 1_800_000, 300_000)
require.NoError(t, err)
assert.NotContains(t, sql, "ARRAY JOIN")
// gridLen = 3 slots, bucket array the same length — no W tail.
assert.Contains(t, sql, "countResample(0, 3, 1)(value, intDiv(unix_milli - 1700000000000 + 1800000 - 1, 1800000)) AS cnts")
assert.Contains(t, sql, "sumResample(0, 3, 1)(value, intDiv(unix_milli - 1700000000000 + 1800000 - 1, 1800000)) AS vals")
// Single-bucket window: the slide degenerates to reading one slot.
assert.Contains(t, sql, "arraySum(arraySlice(cnts, k + 1, 1))")
// The sliver predicate is the correctness precondition of this form.
assert.Contains(t, sql, "positiveModulo(? - unix_milli, ?) < ?")
}
// TestDisjointWindowLattice brute-forces the disjoint-form arithmetic: a
// sample survives the sliver predicate exactly when some grid window
// contains it, and the ceil bucket index then lands it on that window's
// slot. This is the pure-Go mirror of the SQL expressions — the predicate
// in samplesConditions and jj in windowedInner — over random lattices,
// including off-lattice ends and samples beyond the last grid point.
func TestDisjointWindowLattice(t *testing.T) {
rng := func(seed *uint64) int64 {
*seed = *seed*6364136223846793005 + 1442695040888963407
return int64(*seed >> 33)
}
seed := uint64(42)
for trial := 0; trial < 2000; trial++ {
stepMs := 1_000 * (1 + rng(&seed)%3600)
windowMs := 1 + rng(&seed)%(stepMs-1) // strictly below the step
selStart := 1_700_000_000_000 + rng(&seed)%1_000_000
selEnd := selStart + rng(&seed)%(50*stepMs) // end may sit off-lattice
lastIdx := (selEnd - selStart) / stepMs
upper := selStart + lastIdx*stepMs
for i := 0; i < 50; i++ {
u := selStart - windowMs - stepMs + rng(&seed)%(selEnd-selStart+3*stepMs)
// Oracle: is u inside any window (t_k - window, t_k]?
inWindow := false
var slot int64 = -1
for k := int64(0); k <= lastIdx; k++ {
tk := selStart + k*stepMs
if u > tk-windowMs && u <= tk {
inWindow = true
slot = k
break
}
}
// The SQL: fetch bounds, then the sliver predicate
// positiveModulo(selStart - u, step) < window.
kept := u > selStart-windowMs && u <= upper
if kept {
pmod := (selStart - u) % stepMs
if pmod < 0 {
pmod += stepMs
}
kept = pmod < windowMs
}
require.Equal(t, inWindow, kept,
"sliver keep mismatch: u=%d selStart=%d step=%d window=%d", u, selStart, stepMs, windowMs)
if !kept {
continue
}
// jj = ceil((u - selStart)/step) via one intDiv; numerator is
// positive because u > selStart - window > selStart - step.
jj := (u - selStart + stepMs - 1) / stepMs
require.Equal(t, slot, jj,
"slot mismatch: u=%d selStart=%d step=%d window=%d", u, selStart, stepMs, windowMs)
}
}
}
func TestTryExecuteRange_WindowedGateFallsBack(t *testing.T) {
c, store := newTestClient(t)
e := &executor{client: c, parser: prometheus.NewParser()}
start := time.UnixMilli(1_700_000_000_000)
end := time.UnixMilli(1_700_003_600_000)
// 10m range at 90s step: the window is not a whole number of buckets.
_, ok, err := e.TryExecuteRange(context.Background(), `avg_over_time(up[10m])`, start, end, 90*time.Second)
require.NoError(t, err)
assert.False(t, ok, "range not divisible by step must not transpile")
// 1d range at 60s step: 1440 bucket combines per slot, over the cap.
_, ok, err = e.TryExecuteRange(context.Background(), `avg_over_time(up[1d])`, start, end, time.Minute)
require.NoError(t, err)
assert.False(t, ok, "range/step above maxWindowBuckets must not transpile")
// 1m range at 5m step: the windows are disjoint slivers — no
// divisibility or width requirement, so this transpiles.
store.Mock().ExpectQuery("SELECT fingerprint, any\\(labels\\)").WithArgs("up", int64(1_699_999_200_000), int64(1_700_003_600_000)).WillReturnRows(cmock.NewRows(seriesCols, [][]any{}))
_, ok, err = e.TryExecuteRange(context.Background(), `avg_over_time(up[1m])`, start, end, 5*time.Minute)
require.NoError(t, err)
assert.True(t, ok, "range below step is the disjoint form and must transpile")
}
func TestApplyScalarOps(t *testing.T) {
f := func(v float64) *float64 { return &v }
t.Run("arithmetic chain", func(t *testing.T) {
values := []*float64{f(2), nil, f(4)}
applyScalarOps([]scalarOp{{op: parser.MUL, scalar: 100}, {op: parser.ADD, scalar: 1}}, values)
require.NotNil(t, values[0])
assert.Equal(t, 201.0, *values[0])
assert.Nil(t, values[1])
assert.Equal(t, 401.0, *values[2])
})
t.Run("comparison filters points", func(t *testing.T) {
values := []*float64{f(1), f(10)}
applyScalarOps([]scalarOp{{op: parser.GTR, scalar: 5}}, values)
assert.Nil(t, values[0])
require.NotNil(t, values[1])
assert.Equal(t, 10.0, *values[1], "filter comparisons keep the original value")
})
t.Run("bool comparison emits 0/1", func(t *testing.T) {
values := []*float64{f(1), f(10)}
applyScalarOps([]scalarOp{{op: parser.GTR, scalar: 5, returnBool: true}}, values)
assert.Equal(t, 0.0, *values[0])
assert.Equal(t, 1.0, *values[1])
})
t.Run("scalar on left division", func(t *testing.T) {
values := []*float64{f(4)}
applyScalarOps([]scalarOp{{op: parser.DIV, scalar: 100, scalarOnLeft: true}}, values)
assert.Equal(t, 25.0, *values[0])
})
}
func TestLabelsFromGroupKey(t *testing.T) {
lset, err := labelsFromGroupKey(`[["pod","api-0"],["ns","prod"]]`)
require.NoError(t, err)
assert.Equal(t, "api-0", lset.Get("pod"))
assert.Equal(t, "prod", lset.Get("ns"))
empty, err := labelsFromGroupKey(`[]`)
require.NoError(t, err)
assert.True(t, empty.IsEmpty())
}
// testGrid is a 2h query grid ending on a round timestamp.
func testGrid(stepMs int64) gridContext {
return gridContext{startMs: 1_700_000_000_000, endMs: 1_700_007_200_000, stepMs: stepMs}
}
// A bool comparison returns 0/1, not the sample, so the engine drops
// __name__; keeping it would change downstream vector matching.
func TestKeepsName_BoolComparisonDropsName(t *testing.T) {
plan, ok := classify(parse(t, `up > bool 0`), testGrid(60_000))
require.True(t, ok)
assert.False(t, plan.units[0].core.keepsName())
plan, ok = classify(parse(t, `up > 0`), testGrid(60_000))
require.True(t, ok)
assert.True(t, plan.units[0].core.keepsName())
}
// timeSeriesLastToGrid widens its window to max(window, step) — probed on
// 25.12 — so Last-style units at window < step must fall back or they would
// resurrect samples the engine's lookback already dropped.
func TestTryExecuteRange_LastStyleWindowBelowStepTranspiles(t *testing.T) {
// These used to fall back because timeSeriesLastToGrid widens its window
// to max(window, step). Over sliver-filtered rows the widening is
// harmless — the widened window intersected with the data IS the
// lookback window — so the gate is gone and both shapes transpile. The
// mock returns no series: the point here is the routing, the value
// semantics are the parity suite's job.
c, store := newTestClient(t)
e := &executor{client: c, parser: prometheus.NewParser()}
start := time.UnixMilli(1_700_000_000_000)
end := time.UnixMilli(1_700_003_600_000)
store.Mock().ExpectQuery("SELECT fingerprint, any\\(labels\\)").WithArgs("up", int64(1_699_999_200_000), int64(1_700_003_600_000)).WillReturnRows(cmock.NewRows(seriesCols, [][]any{}))
_, ok, err := e.TryExecuteRange(context.Background(), `sum by (pod) (up)`, start, end, time.Hour)
require.NoError(t, err)
assert.True(t, ok, "instant selection at step > lookback must transpile")
store.Mock().ExpectQuery("SELECT fingerprint, any\\(labels\\)").WithArgs("up", int64(1_699_999_200_000), int64(1_700_003_600_000)).WillReturnRows(cmock.NewRows(seriesCols, [][]any{}))
_, ok, err = e.TryExecuteRange(context.Background(), `last_over_time(up[10m])`, start, end, time.Hour)
require.NoError(t, err)
assert.True(t, ok, "last_over_time at range < step must transpile")
}
// Two metrics collapsing onto one labelset after the name drop, with values
// on the same grid slot, is the engine's duplicate-labelset error; merging
// them would invent a series no engine would produce. (Temporally disjoint
// twins merge instead — see TestMergeSameLabelsetSeries.)
func TestExecuteUnit_NameCollisionErrors(t *testing.T) {
c, store := newTestClient(t)
e := &executor{client: c, parser: prometheus.NewParser()}
store.Mock().ExpectQuery("SELECT fingerprint, any\\(labels\\)").WithArgs("^(?:a|b)$", int64(1_699_999_200_000), int64(1_700_003_600_000)).WillReturnRows(cmock.NewRows(seriesCols, [][]any{
{uint64(1), `{"__name__":"a","job":"x"}`},
{uint64(2), `{"__name__":"b","job":"x"}`},
}))
store.Mock().ExpectQuery("SELECT gkey").
WithArgs("^(?:a|b)$", int64(1_699_999_200_000), int64(1_700_003_600_000), "a", "b", int64(1_699_999_700_000), int64(1_700_003_600_000)).
WillReturnRows(cmock.NewRows(gkeyCols, [][]any{
{`[["__name__","a"],["job","x"]]`, []*float64{f64(1)}},
{`[["__name__","b"],["job","x"]]`, []*float64{f64(2)}},
}))
plan, ok := classify(parse(t, `rate({__name__=~"a|b"}[5m])`), gridContext{startMs: 1_700_000_000_000, endMs: 1_700_003_600_000, stepMs: 60_000})
require.True(t, ok)
_, err := e.executeUnit(context.Background(), &plan.units[0].core, plan.units[0].grid)
require.Error(t, err)
assert.Contains(t, err.Error(), "vector cannot contain metrics with the same labelset")
}
var gkeyCols = []cmock.ColumnType{
{Name: "gkey", Type: "String"},
{Name: "grid", Type: "Array(Nullable(Float64))"},
}
func f64(v float64) *float64 { return &v }
// A nameless selector can span metrics whose series alternate in time (one
// dies inside the lookback before the other appears); after the name drop
// the engine merges them into ONE series and errors only when two samples
// share an evaluation timestamp. Pinned by conformance cases
// operators.test:994/997 (-{job="api"} over http_requests/http_errors).
func TestMergeSameLabelsetSeries(t *testing.T) {
f := func(v float64) *float64 { return &v }
api := labels.FromStrings("job", "api")
out, err := mergeSameLabelsetSeries([]transpiledSeries{
{lset: api, values: []*float64{f(-2), nil}},
{lset: api, values: []*float64{nil, f(-4)}},
{lset: labels.FromStrings("job", "web"), values: []*float64{f(7), nil}},
})
require.NoError(t, err)
require.Len(t, out, 2)
assert.Equal(t, []*float64{f(-2), f(-4)}, out[0].values, "temporally disjoint twins must merge into one series")
_, err = mergeSameLabelsetSeries([]transpiledSeries{
{lset: api, values: []*float64{f(1), nil}},
{lset: api, values: []*float64{f(2), nil}},
})
require.Error(t, err, "two values on one evaluation timestamp is the engine's duplicate error")
assert.True(t, errors.Ast(err, errors.TypeInvalidInput))
}
// Hybrid twin case: stripping the synthetic __name__ can leave two engine
// output series distinguishable only by those names (-metric_a or -metric_b:
// both {} once real names are dropped). Pinned by conformance cases
// name_label_dropping.test:137 and operators.test:1016.
func TestMergeMatrixByLabelset(t *testing.T) {
empty := labels.EmptyLabels()
out, err := mergeMatrixByLabelset(promql.Matrix{
{Metric: empty, Floats: []promql.FPoint{{T: 0, F: -1}}},
{Metric: empty, Floats: []promql.FPoint{{T: 600_000, F: -4}}},
})
require.NoError(t, err)
require.Len(t, out, 1)
assert.Equal(t, []promql.FPoint{{T: 0, F: -1}, {T: 600_000, F: -4}}, out[0].Floats)
_, err = mergeMatrixByLabelset(promql.Matrix{
{Metric: empty, Floats: []promql.FPoint{{T: 0, F: -1}}},
{Metric: empty, Floats: []promql.FPoint{{T: 0, F: -3}}},
})
require.Error(t, err)
assert.True(t, errors.Ast(err, errors.TypeInvalidInput))
}

View File

@@ -24,6 +24,10 @@ type Config struct {
// Timeout is the maximum time a query is allowed to run before being aborted.
Timeout time.Duration `mapstructure:"timeout"`
// ProviderName selects the storage provider: "clickhouse" (default) or
// "clickhousev2".
ProviderName string `mapstructure:"provider"`
}
func NewConfigFactory() factory.ConfigFactory {
@@ -37,7 +41,8 @@ func newConfig() factory.Config {
Path: "",
MaxConcurrent: 20,
},
Timeout: 2 * time.Minute,
Timeout: 2 * time.Minute,
ProviderName: "clickhouse",
}
}
@@ -45,9 +50,15 @@ func (c Config) Validate() error {
if c.Timeout <= 0 {
return errors.Newf(errors.TypeInvalidInput, errors.CodeInvalidInput, "prometheus::timeout must be greater than 0")
}
if c.ProviderName != "" && c.ProviderName != "clickhouse" && c.ProviderName != "clickhousev2" {
return errors.Newf(errors.TypeInvalidInput, errors.CodeInvalidInput, "prometheus::provider must be one of [clickhouse, clickhousev2], got %q", c.ProviderName)
}
return nil
}
func (c Config) Provider() string {
return "clickhouse"
if c.ProviderName == "" {
return "clickhouse"
}
return c.ProviderName
}

View File

@@ -35,3 +35,9 @@ type StatementRecorder interface {
type StatementCapturer interface {
CapturingStorage() (storage.Queryable, StatementRecorder)
}
// ProviderClickhouseV2 is the clickhousev2 provider name: the factory
// registration, the prometheus::provider config value and the
// X-SigNoz-PromQL-Provider request header all use it, so they cannot drift
// apart.
const ProviderClickhouseV2 = "clickhousev2"

49
pkg/prometheus/traits.go Normal file
View File

@@ -0,0 +1,49 @@
package prometheus
import (
"context"
"github.com/prometheus/prometheus/promql/parser"
)
type queryTraitsKey struct{}
// QueryTraits carries per-query facts a storage implementation cannot derive
// from SelectHints alone. Call sites that parse the PromQL expression attach
// traits to the context before handing it to the engine; storages treat a
// missing traits value as "unknown" and stay conservative.
type QueryTraits struct {
// SubqueryFree is true when the query contains no subquery expression.
// Subquery selectors are evaluated at the subquery's own step, but
// SelectHints.Step always carries the top-level step, so step-aligned
// storage optimizations (e.g. keeping only the last sample per step
// bucket) are safe only when this is true.
SubqueryFree bool
}
// DetectQueryTraits derives QueryTraits from a parsed PromQL expression.
func DetectQueryTraits(expr parser.Expr) QueryTraits {
subqueryFree := true
parser.Inspect(expr, func(node parser.Node, _ []parser.Node) error {
if _, ok := node.(*parser.SubqueryExpr); ok {
subqueryFree = false
}
return nil
})
return QueryTraits{SubqueryFree: subqueryFree}
}
// NewContextWithQueryTraits returns a context carrying the given traits.
func NewContextWithQueryTraits(ctx context.Context, traits QueryTraits) context.Context {
return context.WithValue(ctx, queryTraitsKey{}, traits)
}
// QueryTraitsFromContext returns the traits attached to ctx, if any.
//
// Context is used here, unlike for backend selection, because traits must
// cross the promql engine to reach storage.Querier.Select, and the engine's
// interfaces offer no other channel; the alternative is a Prometheus fork.
func QueryTraitsFromContext(ctx context.Context) (QueryTraits, bool) {
traits, ok := ctx.Value(queryTraitsKey{}).(QueryTraits)
return traits, ok
}

View File

@@ -22,13 +22,6 @@ import (
"github.com/SigNoz/signoz/pkg/variables"
)
type Handler interface {
QueryRange(rw http.ResponseWriter, req *http.Request)
QueryRangePreview(rw http.ResponseWriter, req *http.Request)
QueryRawStream(rw http.ResponseWriter, req *http.Request)
ReplaceVariables(rw http.ResponseWriter, req *http.Request)
}
type handler struct {
set factory.ProviderSettings
analytics analytics.Analytics
@@ -57,6 +50,7 @@ func (handler *handler) QueryRange(rw http.ResponseWriter, req *http.Request) {
render.Error(rw, err)
return
}
queryRangeRequest.PromQLProvider = req.Header.Get("X-SigNoz-PromQL-Provider")
// Validate the query request
if err := queryRangeRequest.Validate(); err != nil {
@@ -249,7 +243,7 @@ func (handler *handler) ReplaceVariables(rw http.ResponseWriter, req *http.Reque
errs := []error{}
for idx, item := range queryRangeRequest.CompositeQuery.Queries {
if item.Type == qbtypes.QueryTypeBuilder || item.Type == qbtypes.QueryTypeBuilderAI {
if item.Type == qbtypes.QueryTypeBuilder {
switch spec := item.Spec.(type) {
case qbtypes.QueryBuilderQuery[qbtypes.LogAggregation]:
if spec.Filter != nil && spec.Filter.Expression != "" {

View File

@@ -15,14 +15,6 @@ import (
"github.com/SigNoz/signoz/pkg/valuer"
)
// BucketCache is the interface for bucket-based caching.
type BucketCache interface {
// cached portion + list of gaps to fetch
GetMissRanges(ctx context.Context, orgID valuer.UUID, q qbtypes.Query, step qbtypes.Step) (cached *qbtypes.Result, missing []*qbtypes.TimeRange)
// store fresh buckets for future hits
Put(ctx context.Context, orgID valuer.UUID, q qbtypes.Query, step qbtypes.Step, fresh *qbtypes.Result)
}
// bucketCache implements the BucketCache interface.
type bucketCache struct {
cache cache.Cache

View File

@@ -11,8 +11,8 @@ import (
"github.com/ClickHouse/clickhouse-go/v2"
"github.com/SigNoz/signoz/pkg/errors"
"github.com/SigNoz/signoz/pkg/telemetryschema/tracestelemetryschema"
"github.com/SigNoz/signoz/pkg/telemetrystore"
"github.com/SigNoz/signoz/pkg/telemetrytraces"
"github.com/SigNoz/signoz/pkg/types/ctxtypes"
"github.com/SigNoz/signoz/pkg/types/instrumentationtypes"
qbtypes "github.com/SigNoz/signoz/pkg/types/querybuildertypes/querybuildertypesv5"
@@ -277,12 +277,12 @@ func (q *builderQuery[T]) narrowWindowByTraceID(ctx context.Context, fromMS, toM
return fromMS, toMS, true, ""
}
traceIDs, found := tracestelemetryschema.ExtractTraceIDsFromFilter(q.spec.Filter.Expression)
traceIDs, found := telemetrytraces.ExtractTraceIDsFromFilter(q.spec.Filter.Expression)
if !found || len(traceIDs) == 0 {
return fromMS, toMS, true, ""
}
finder := tracestelemetryschema.NewTraceTimeRangeFinder(q.telemetryStore)
finder := telemetrytraces.NewTraceTimeRangeFinder(q.telemetryStore)
traceStart, traceEnd, exists, err := finder.GetTraceTimeRangeMulti(ctx, traceIDs)
if err != nil {
return fromMS, toMS, true, ""

View File

@@ -6,18 +6,18 @@ import (
"time"
"github.com/SigNoz/signoz/pkg/errors"
"github.com/SigNoz/signoz/pkg/telemetryschema/logstelemetryschema"
"github.com/SigNoz/signoz/pkg/telemetryschema/metricstelemetryschema"
"github.com/SigNoz/signoz/pkg/telemetryschema/tracestelemetryschema"
"github.com/SigNoz/signoz/pkg/telemetrylogs"
"github.com/SigNoz/signoz/pkg/telemetrymetrics"
"github.com/SigNoz/signoz/pkg/telemetrytraces"
"github.com/SigNoz/signoz/pkg/valuer"
)
func (q *querier) Collect(ctx context.Context, _ valuer.UUID) (map[string]any, error) {
stats := make(map[string]any)
tracesTable := fmt.Sprintf("%s.%s", tracestelemetryschema.DBName, tracestelemetryschema.SpanIndexV3TableName)
logsTable := fmt.Sprintf("%s.%s", logstelemetryschema.DBName, logstelemetryschema.LogsV2TableName)
metricsTable := fmt.Sprintf("%s.%s", metricstelemetryschema.DBName, metricstelemetryschema.SamplesV4TableName)
tracesTable := fmt.Sprintf("%s.%s", telemetrytraces.DBName, telemetrytraces.SpanIndexV3TableName)
logsTable := fmt.Sprintf("%s.%s", telemetrylogs.DBName, telemetrylogs.LogsV2TableName)
metricsTable := fmt.Sprintf("%s.%s", telemetrymetrics.DBName, telemetrymetrics.SamplesV4TableName)
var (
traces uint64

View File

@@ -9,6 +9,12 @@ import (
const DefaultMaxConcurrentQueries = 8
type SkipResourceFingerprint struct {
Enabled bool `yaml:"enabled" mapstructure:"enabled"`
// If count of fingerprint is above threshold, skip the fingerprint subquery and filter on main table instead.
Threshold uint64 `yaml:"threshold" mapstructure:"threshold"`
}
// Config represents the configuration for the querier.
type Config struct {
// CacheTTL is the TTL for cached query results
@@ -17,6 +23,8 @@ type Config struct {
FluxInterval time.Duration `yaml:"flux_interval" mapstructure:"flux_interval"`
// MaxConcurrentQueries is the maximum number of concurrent queries for missing ranges
MaxConcurrentQueries int `yaml:"max_concurrent_queries" mapstructure:"max_concurrent_queries"`
// SkipResourceFingerprint configures when the resource fingerprint subquery is skipped in favor of main-table filtering.
SkipResourceFingerprint SkipResourceFingerprint `yaml:"skip_resource_fingerprint" mapstructure:"skip_resource_fingerprint"`
// LogTraceIDWindowPadding is the padding added to narrowed down timerange from trace summary to logs with trace_id filter.
LogTraceIDWindowPadding time.Duration `yaml:"log_trace_id_window_padding" mapstructure:"log_trace_id_window_padding"`
}
@@ -31,7 +39,11 @@ func newConfig() factory.Config {
// Default values
CacheTTL: 168 * time.Hour,
FluxInterval: 5 * time.Minute,
MaxConcurrentQueries: DefaultMaxConcurrentQueries,
MaxConcurrentQueries: DefaultMaxConcurrentQueries,
SkipResourceFingerprint: SkipResourceFingerprint{
Enabled: false,
Threshold: 100000,
},
LogTraceIDWindowPadding: 5 * time.Minute,
}
}
@@ -47,6 +59,9 @@ func (c Config) Validate() error {
if c.MaxConcurrentQueries <= 0 {
return errors.NewInvalidInputf(errors.CodeInvalidInput, "max_concurrent_queries must be positive, got %v", c.MaxConcurrentQueries)
}
if c.SkipResourceFingerprint.Enabled && c.SkipResourceFingerprint.Threshold == 0 {
return errors.NewInvalidInputf(errors.CodeInvalidInput, "skip_resource_fingerprint.threshold must be > 0 when enabled")
}
if c.LogTraceIDWindowPadding < 0 {
return errors.NewInvalidInputf(errors.CodeInvalidInput, "log_trace_id_window_padding must not be negative, got %v", c.LogTraceIDWindowPadding)
}

35
pkg/querier/interfaces.go Normal file
View File

@@ -0,0 +1,35 @@
package querier
import (
"context"
"net/http"
"github.com/SigNoz/signoz/pkg/statsreporter"
qbtypes "github.com/SigNoz/signoz/pkg/types/querybuildertypes/querybuildertypesv5"
"github.com/SigNoz/signoz/pkg/valuer"
)
// Querier interface defines the contract for querying data.
type Querier interface {
QueryRange(ctx context.Context, orgID valuer.UUID, req *qbtypes.QueryRangeRequest) (*qbtypes.QueryRangeResponse, error)
QueryRawStream(ctx context.Context, orgID valuer.UUID, req *qbtypes.QueryRangeRequest, client *qbtypes.RawStream)
statsreporter.StatsCollector
// QueryRangePreview validates and renders the queries without executing them.
QueryRangePreview(ctx context.Context, orgID valuer.UUID, req *qbtypes.QueryRangeRequest, opts qbtypes.QueryRangePreviewOptions) (*qbtypes.QueryRangePreviewResponse, error)
}
// BucketCache is the interface for bucket-based caching.
type BucketCache interface {
// cached portion + list of gaps to fetch
GetMissRanges(ctx context.Context, orgID valuer.UUID, q qbtypes.Query, step qbtypes.Step) (cached *qbtypes.Result, missing []*qbtypes.TimeRange)
// store fresh buckets for future hits
Put(ctx context.Context, orgID valuer.UUID, q qbtypes.Query, step qbtypes.Step, fresh *qbtypes.Result)
}
type Handler interface {
QueryRange(rw http.ResponseWriter, req *http.Request)
// QueryRangePreview is the dry-run endpoint: validate and render without executing.
QueryRangePreview(rw http.ResponseWriter, req *http.Request)
QueryRawStream(rw http.ResponseWriter, req *http.Request)
ReplaceVariables(rw http.ResponseWriter, req *http.Request)
}

View File

@@ -231,7 +231,7 @@ func (q *querier) buildPreviewProviders(
sub.CompositeQuery = qbtypes.CompositeQuery{Queries: []qbtypes.QueryEnvelope{query}}
}
built, _, bErr := q.buildQueries(orgID, &sub, deps, missingMetricQuerySet, event)
built, _, bErr := q.buildQueries(orgID, &sub, deps, missingMetricQuerySet, event, promqlOptions{})
if bErr != nil {
errs[name] = bErr
continue
@@ -249,7 +249,6 @@ func (q *querier) buildPreviewProviders(
func rendersStandaloneStatement(t qbtypes.QueryType) bool {
switch t {
case qbtypes.QueryTypeBuilder,
qbtypes.QueryTypeBuilderAI,
qbtypes.QueryTypePromQL,
qbtypes.QueryTypeClickHouseSQL,
qbtypes.QueryTypeTraceOperator:

View File

@@ -8,15 +8,19 @@ import (
"regexp"
"sort"
"strings"
"sync"
"text/template"
"time"
"github.com/ClickHouse/clickhouse-go/v2"
"github.com/prometheus/prometheus/model/labels"
"github.com/prometheus/prometheus/promql"
"github.com/prometheus/prometheus/promql/parser"
"github.com/SigNoz/signoz/pkg/errors"
"github.com/SigNoz/signoz/pkg/prometheus"
"github.com/SigNoz/signoz/pkg/prometheus/clickhouseprometheusv2"
"github.com/SigNoz/signoz/pkg/querybuilder"
"github.com/SigNoz/signoz/pkg/types/ctxtypes"
"github.com/SigNoz/signoz/pkg/types/instrumentationtypes"
@@ -98,6 +102,24 @@ type promqlQuery struct {
tr qbv5.TimeRange
requestType qbv5.RequestType
vars map[string]qbv5.VariableItem
opts promqlOptions
}
// promqlOptions is how a PromQL query relates to the clickhousev2 provider
// (see querier.promqlOptions for where the fields come from and why they are
// flag-gated). Both providers are nil for a plain request, so a plain
// request costs nothing extra.
type promqlOptions struct {
// shadow, when set, runs the query on this provider after serving and
// logs any result difference; the response is never affected.
shadow *clickhouseprometheusv2.Provider
// shadowSlots is the querier-wide admission for shadow runs, shared by
// every query so the bound holds per process.
shadowSlots chan struct{}
// serve, when set, serves the response from this provider instead of the
// default path. Comparison callers fetch the default and the pinned
// result as two API calls and diff them.
serve *clickhouseprometheusv2.Provider
}
var _ qbv5.Query = (*promqlQuery)(nil)
@@ -110,6 +132,7 @@ func newPromqlQuery(
tr qbv5.TimeRange,
requestType qbv5.RequestType,
variables map[string]qbv5.VariableItem,
opts promqlOptions,
) *promqlQuery {
return &promqlQuery{
logger: logger,
@@ -119,10 +142,19 @@ func newPromqlQuery(
tr: tr,
requestType: requestType,
vars: variables,
opts: opts,
}
}
func (q *promqlQuery) Fingerprint() string {
// A pinned request must not share cache entries with default serving: a
// cached default result would satisfy the pin without running the pinned
// provider, and a pinned result would poison normal serving. No
// fingerprint means no caching at all — the pin exists to observe a
// provider, so a cache in front of it defeats the point.
if q.opts.serve != nil {
return ""
}
if q.requestType != qbv5.RequestTypeTimeSeries {
return ""
}
@@ -252,7 +284,16 @@ func (q *promqlQuery) PreviewStatements(ctx context.Context) ([]prometheus.Captu
start := int64(querybuilder.ToNanoSecs(q.tr.From))
end := int64(querybuilder.ToNanoSecs(q.tr.To))
// Attach the same query traits as Execute so the captured statements
// match what the live path would run.
if expr, parseErr := q.parser.ParseExpr(rendered); parseErr == nil {
ctx = prometheus.NewContextWithQueryTraits(ctx, prometheus.DetectQueryTraits(expr))
}
capStorage, recorder := storer.CapturingStorage()
if capStorage == nil {
return nil, nil
}
qry, err := q.promEngine.Engine().NewRangeQuery(
ctx,
capStorage,
@@ -296,6 +337,58 @@ func (q *promqlQuery) Execute(ctx context.Context) (*qbv5.Result, error) {
return nil, err
}
// Attach query traits so the storage can prove step-aligned optimizations
// safe (see prometheus.QueryTraits). A parse failure surfaces below via
// the engine with the enhanced error message.
if expr, parseErr := q.parser.ParseExpr(query); parseErr == nil {
ctx = prometheus.NewContextWithQueryTraits(ctx, prometheus.DetectQueryTraits(expr))
}
// Accumulate ClickHouse-side scan stats across every storage query this
// evaluation issues (engine selectors or the compiled executor): progress
// options propagate to each ClickHouse query through the context.
var statsMu sync.Mutex
var rowsScanned, bytesScanned uint64
ctx = clickhouse.Context(ctx, clickhouse.WithProgress(func(p *clickhouse.Progress) {
statsMu.Lock()
rowsScanned += p.Rows
bytesScanned += p.Bytes
statsMu.Unlock()
}))
began := time.Now()
// A pinned provider serves directly from it: comparison callers fetch
// the default result and the pinned result as two API calls and diff
// them.
if q.opts.serve != nil {
matrix, err := q.serveFromProvider(ctx, query, start, end)
if err != nil {
if enhanced := tryEnhancePromQLExecError(err); enhanced != nil {
return nil, enhanced
}
return nil, err
}
return q.toResult(matrix, nil, began, &statsMu, &rowsScanned, &bytesScanned), nil
}
// When the serving provider itself is clickhousev2
// (prometheus::provider: clickhousev2), serve the way the provider is
// designed to serve: transpiled when the shape allows. Without this the
// override would silently run the engine path only.
if prov, ok := q.promEngine.(*clickhouseprometheusv2.Provider); ok {
matrix, served, err := prov.TryExecuteRange(ctx, query, time.Unix(0, start), time.Unix(0, end), q.query.Step.Duration)
if err != nil {
if enhanced := tryEnhancePromQLExecError(err); enhanced != nil {
return nil, enhanced
}
return nil, err
}
if served {
return q.toResult(matrix, nil, began, &statsMu, &rowsScanned, &bytesScanned), nil
}
}
qry, err := q.promEngine.Engine().NewRangeQuery(
ctx,
q.promEngine.Storage(),
@@ -331,6 +424,34 @@ func (q *promqlQuery) Execute(ctx context.Context) (*qbv5.Result, error) {
return nil, errors.WrapInternalf(promErr, errors.CodeInternal, "error getting matrix from promql query %q", query)
}
if q.opts.shadow != nil {
// Shadows detach from the request, so without admission a dashboard
// burst would stack unbounded ClickHouse work for up to the shadow
// timeout — the concurrency pattern behind the original outages.
// Non-blocking: at the cap the comparison is skipped, not queued;
// a sampled shadow stream is exactly as useful for rollout evidence.
select {
case q.opts.shadowSlots <- struct{}{}:
// The engine pools the result's sample slices on Close; the
// shadow comparison needs a stable copy of what was served.
served := copyMatrix(matrix)
servedIn := time.Since(began)
go func() {
defer func() { <-q.opts.shadowSlots }()
q.runShadowCompare(context.WithoutCancel(ctx), query, start, end, served, servedIn)
}()
default:
q.logger.DebugContext(ctx, "promql shadow skipped: at concurrency cap", slog.String("query", query))
}
}
warnings, _ := res.Warnings.AsStrings(query, 10, 0)
return q.toResult(matrix, warnings, began, &statsMu, &rowsScanned, &bytesScanned), nil
}
// toResult converts an evaluated matrix into the v5 result shape, attaching
// the ClickHouse scan stats accumulated during evaluation.
func (q *promqlQuery) toResult(matrix promql.Matrix, warnings []string, began time.Time, statsMu *sync.Mutex, rowsScanned, bytesScanned *uint64) *qbv5.Result {
// Hide only known SigNoz storage keys: label names are user data and may
// legitimately start with "__" (e.g. __address__), so a blanket dunder
// strip mangles user labelsets. The __scope./__resource. prefixes cover
@@ -366,7 +487,13 @@ func (q *promqlQuery) Execute(ctx context.Context) (*qbv5.Result, error) {
series = append(series, &s)
}
warnings, _ := res.Warnings.AsStrings(query, 10, 0)
statsMu.Lock()
stats := qbv5.ExecStats{
RowsScanned: *rowsScanned,
BytesScanned: *bytesScanned,
DurationMS: uint64(time.Since(began).Milliseconds()),
}
statsMu.Unlock()
tsData := &qbv5.TimeSeriesData{
QueryName: q.query.Name,
@@ -400,6 +527,6 @@ func (q *promqlQuery) Execute(ctx context.Context) (*qbv5.Result, error) {
Type: q.requestType,
Value: payload,
Warnings: warnings,
// TODO: map promql stats?
}, nil
Stats: stats,
}
}

View File

@@ -7,6 +7,7 @@ import (
"github.com/SigNoz/signoz/pkg/errors"
"github.com/SigNoz/signoz/pkg/prometheus"
"github.com/SigNoz/signoz/pkg/prometheus/clickhouseprometheusv2"
qbv5 "github.com/SigNoz/signoz/pkg/types/querybuildertypes/querybuildertypesv5"
"github.com/stretchr/testify/assert"
)
@@ -440,3 +441,15 @@ func TestQuotedMetricOutsideBracesPattern(t *testing.T) {
})
}
}
// A pinned request must not share cache entries with default serving: a
// cached default result would satisfy the pin without running the pinned
// provider.
func TestFingerprint_PinnedProviderBypassesCache(t *testing.T) {
q := &promqlQuery{
logger: slog.Default(),
query: qbv5.PromQuery{Query: "up"},
opts: promqlOptions{serve: &clickhouseprometheusv2.Provider{}},
}
assert.Empty(t, q.Fingerprint())
}

View File

@@ -0,0 +1,186 @@
package querier
import (
"context"
"fmt"
"log/slog"
"math"
"sort"
"time"
"github.com/ClickHouse/clickhouse-go/v2"
"github.com/SigNoz/signoz/pkg/prometheus"
"github.com/SigNoz/signoz/pkg/prometheus/clickhouseprometheusv2"
"github.com/prometheus/prometheus/model/labels"
"github.com/prometheus/prometheus/promql"
)
// shadowTimeout bounds a shadow evaluation; a shadow run must never outlive
// the request by much or pile up.
const shadowTimeout = 2 * time.Minute
// runShadowCompare executes the query on the clickhousev2 provider exactly
// as it would serve (transpiled when the shape allows, engine over the v2
// querier otherwise), compares against the served result and logs the
// outcome. Serving is never affected: this runs after the response, off the
// request context, and only logs. The mismatch and failure logs are the
// rollout evidence — serving cuts over to v2 only after they stay clean.
func (q *promqlQuery) runShadowCompare(ctx context.Context, query string, startNs, endNs int64, served promql.Matrix, servedIn time.Duration) {
defer func() {
if r := recover(); r != nil {
q.logger.ErrorContext(ctx, "promql shadow comparison panicked", slog.Any("panic", r), slog.String("query", query))
}
}()
ctx, cancel := context.WithTimeout(ctx, shadowTimeout)
defer cancel()
// The request context carries the served response's scan-stats progress
// callback; without replacing it the shadow's ClickHouse progress would
// race into the served stats. The response itself was already sent.
ctx = clickhouse.Context(ctx, clickhouse.WithProgress(func(*clickhouse.Progress) {}))
if expr, parseErr := q.parser.ParseExpr(query); parseErr == nil {
ctx = prometheus.NewContextWithQueryTraits(ctx, prometheus.DetectQueryTraits(expr))
}
start, end := time.Unix(0, startNs), time.Unix(0, endNs)
began := time.Now()
shadow, transpiled, err := executeOnProvider(ctx, q.opts.shadow, query, start, end, q.query.Step.Duration)
shadowIn := time.Since(began)
logAttrs := []any{
slog.String("query", query),
slog.Int64("start_ms", startNs/int64(time.Millisecond)),
slog.Int64("end_ms", endNs/int64(time.Millisecond)),
slog.Duration("step", q.query.Step.Duration),
slog.Bool("transpiled", transpiled),
slog.Duration("served_in", servedIn),
slog.Duration("shadow_in", shadowIn),
}
if err != nil {
// A shadow failure would be a serving failure after rollout; surface
// it at the same level as a result mismatch.
q.logger.WarnContext(ctx, "promql shadow execution failed", append(logAttrs, slog.Any("error", err))...)
return
}
servedNorm := normalizeShadowMatrix(served)
shadowNorm := normalizeShadowMatrix(shadow)
if diff := diffShadowMatrices(servedNorm, shadowNorm); diff != "" {
q.logger.WarnContext(ctx, "promql shadow comparison mismatch", append(logAttrs,
slog.String("diff", diff),
slog.Int("served_series", len(servedNorm)),
slog.Int("shadow_series", len(shadowNorm)),
)...)
return
}
// Matches log the timings: served_in vs shadow_in across the fleet is
// the perf evidence for the cutover, gathered for free.
q.logger.DebugContext(ctx, "promql shadow comparison matched", logAttrs...)
}
// serveFromProvider evaluates the query the way the pinned provider would
// serve it.
func (q *promqlQuery) serveFromProvider(ctx context.Context, query string, startNs, endNs int64) (promql.Matrix, error) {
matrix, _, err := executeOnProvider(ctx, q.opts.serve, query, time.Unix(0, startNs), time.Unix(0, endNs), q.query.Step.Duration)
return matrix, err
}
// executeOnProvider evaluates the query the way the provider would serve it:
// transpiled in ClickHouse when the shape allows, the engine over the
// provider's storage otherwise. The returned matrix is an owned copy.
func executeOnProvider(ctx context.Context, prov *clickhouseprometheusv2.Provider, query string, start, end time.Time, step time.Duration) (promql.Matrix, bool, error) {
matrix, ok, err := prov.TryExecuteRange(ctx, query, start, end, step)
if err != nil {
return nil, true, err
}
if ok {
return matrix, true, nil
}
qry, err := prov.Engine().NewRangeQuery(ctx, prov.Storage(), nil, query, start, end, step)
if err != nil {
return nil, false, err
}
defer qry.Close()
res := qry.Exec(ctx)
if res.Err != nil {
return nil, false, res.Err
}
matrix, err = res.Matrix()
if err != nil {
return nil, false, err
}
// Close returns the result's sample slices to the engine pool.
return copyMatrix(matrix), false, nil
}
func copyMatrix(matrix promql.Matrix) promql.Matrix {
out := make(promql.Matrix, 0, len(matrix))
for _, s := range matrix {
floats := make([]promql.FPoint, len(s.Floats))
copy(floats, s.Floats)
out = append(out, promql.Series{Metric: s.Metric.Copy(), Floats: floats})
}
return out
}
// normalizeShadowMatrix sorts by label set for order-independent
// comparison. Both providers now resolve series identity the same way
// (empty-valued labels dropped at read, no synthetic fingerprint label
// since the v1 series-identity fix), so labels need no normalization.
func normalizeShadowMatrix(matrix promql.Matrix) promql.Matrix {
out := make(promql.Matrix, 0, len(matrix))
out = append(out, matrix...)
sort.Slice(out, func(i, j int) bool { return labels.Compare(out[i].Metric, out[j].Metric) < 0 })
return out
}
// diffShadowMatrices returns a description of the first difference, or "".
// Values compare with relative tolerance: spatial aggregations accumulate
// floats in storage order, which differs between the providers in the last
// ULP.
func diffShadowMatrices(served, shadow promql.Matrix) string {
const relTol = 1e-9
if len(served) != len(shadow) {
return fmt.Sprintf("series count: served=%d shadow=%d", len(served), len(shadow))
}
for i := range served {
if labels.Compare(served[i].Metric, shadow[i].Metric) != 0 {
return fmt.Sprintf("series %d labels: served=%s shadow=%s", i, served[i].Metric, shadow[i].Metric)
}
if len(served[i].Floats) != len(shadow[i].Floats) {
return fmt.Sprintf("series %s points: served=%d shadow=%d", served[i].Metric, len(served[i].Floats), len(shadow[i].Floats))
}
for j := range served[i].Floats {
a, b := served[i].Floats[j], shadow[i].Floats[j]
if a.T != b.T {
return fmt.Sprintf("series %s point %d ts: served=%d shadow=%d", served[i].Metric, j, a.T, b.T)
}
// NaN and infinities first: NaN != NaN and Inf-Inf arithmetic
// would otherwise make one-sided NaN and Inf-vs-finite compare
// as equal (NaN > x and Inf > Inf are both false).
if math.IsNaN(a.F) || math.IsNaN(b.F) {
if math.IsNaN(a.F) != math.IsNaN(b.F) {
return fmt.Sprintf("series %s @%d value: served=%v shadow=%v", served[i].Metric, a.T, a.F, b.F)
}
continue
}
if math.IsInf(a.F, 0) || math.IsInf(b.F, 0) {
if a.F != b.F {
return fmt.Sprintf("series %s @%d value: served=%v shadow=%v", served[i].Metric, a.T, a.F, b.F)
}
continue
}
diff := math.Abs(a.F - b.F)
scale := math.Max(math.Abs(a.F), math.Abs(b.F))
if diff > relTol*math.Max(scale, 1e-300) && diff > 1e-12 {
return fmt.Sprintf("series %s @%d value: served=%v shadow=%v", served[i].Metric, a.T, a.F, b.F)
}
}
}
return ""
}

View File

@@ -0,0 +1,67 @@
package querier
import (
"math"
"testing"
"github.com/prometheus/prometheus/model/labels"
"github.com/prometheus/prometheus/promql"
"github.com/stretchr/testify/assert"
)
func TestNormalizeShadowMatrix(t *testing.T) {
matrix := promql.Matrix{
{
Metric: labels.FromStrings("__name__", "up", "job", "api"),
Floats: []promql.FPoint{{T: 1000, F: 1}},
},
{
Metric: labels.FromStrings("a", "1"),
Floats: []promql.FPoint{{T: 1000, F: 2}},
},
}
norm := normalizeShadowMatrix(matrix)
// sorted by label set; labels pass through untouched — both providers
// resolve series identity identically since the v1 series-identity fix
assert.Equal(t, labels.FromStrings("__name__", "up", "job", "api"), norm[0].Metric)
assert.Equal(t, labels.FromStrings("a", "1"), norm[1].Metric)
}
func TestDiffShadowMatrices(t *testing.T) {
series := func(v float64) promql.Matrix {
return promql.Matrix{{Metric: labels.FromStrings("a", "1"), Floats: []promql.FPoint{{T: 1000, F: v}}}}
}
assert.Empty(t, diffShadowMatrices(series(1.5), series(1.5)))
// last-ULP differences from storage-order float accumulation are expected
assert.Empty(t, diffShadowMatrices(series(0.08888888888888889), series(0.08888888888888888)))
assert.Empty(t, diffShadowMatrices(series(math.NaN()), series(math.NaN())))
assert.Contains(t, diffShadowMatrices(series(1.5), series(1.6)), "value")
assert.Contains(t, diffShadowMatrices(series(1.5), promql.Matrix{}), "series count")
assert.Contains(t, diffShadowMatrices(
series(1.5),
promql.Matrix{{Metric: labels.FromStrings("a", "2"), Floats: []promql.FPoint{{T: 1000, F: 1.5}}}},
), "labels")
assert.Contains(t, diffShadowMatrices(
series(1.5),
promql.Matrix{{Metric: labels.FromStrings("a", "1"), Floats: []promql.FPoint{{T: 2000, F: 1.5}}}},
), "ts")
}
// One-sided NaN makes every float comparison false, and Inf-Inf arithmetic
// yields Inf > Inf == false; without explicit handling both divergences log
// as matched — a shadow comparator that cannot see them would green-light a
// broken rollout.
func TestDiffShadowMatrices_SpecialFloats(t *testing.T) {
point := func(v float64) promql.Matrix {
return promql.Matrix{{Metric: labels.FromStrings("a", "1"), Floats: []promql.FPoint{{T: 1000, F: v}}}}
}
assert.NotEmpty(t, diffShadowMatrices(point(math.NaN()), point(1.5)), "one-sided NaN must diff")
assert.NotEmpty(t, diffShadowMatrices(point(1.5), point(math.NaN())), "one-sided NaN must diff either way")
assert.NotEmpty(t, diffShadowMatrices(point(math.Inf(1)), point(1.5)), "Inf vs finite must diff")
assert.NotEmpty(t, diffShadowMatrices(point(math.Inf(1)), point(math.Inf(-1))), "opposite infinities must diff")
assert.Empty(t, diffShadowMatrices(point(math.Inf(1)), point(math.Inf(1))), "equal infinities match")
assert.Empty(t, diffShadowMatrices(point(math.NaN()), point(math.NaN())), "both NaN match")
}

View File

@@ -19,11 +19,12 @@ import (
"github.com/SigNoz/signoz/pkg/factory"
"github.com/SigNoz/signoz/pkg/flagger"
"github.com/SigNoz/signoz/pkg/prometheus"
"github.com/SigNoz/signoz/pkg/prometheus/clickhouseprometheusv2"
"github.com/SigNoz/signoz/pkg/query-service/utils"
"github.com/SigNoz/signoz/pkg/querybuilder"
"github.com/SigNoz/signoz/pkg/statsreporter"
"github.com/SigNoz/signoz/pkg/telemetrystore"
"github.com/SigNoz/signoz/pkg/types/ctxtypes"
"github.com/SigNoz/signoz/pkg/types/featuretypes"
"github.com/SigNoz/signoz/pkg/types/instrumentationtypes"
"github.com/SigNoz/signoz/pkg/types/metrictypes"
"github.com/SigNoz/signoz/pkg/types/telemetrytypes"
@@ -36,23 +37,21 @@ var (
intervalWarn = "Query %s is requesting aggregation interval %v seconds, which is smaller than the minimum allowed interval of %v seconds for selected time range. Using the minimum instead"
)
// Querier interface defines the contract for querying data.
type Querier interface {
QueryRange(ctx context.Context, orgID valuer.UUID, req *qbtypes.QueryRangeRequest) (*qbtypes.QueryRangeResponse, error)
QueryRawStream(ctx context.Context, orgID valuer.UUID, req *qbtypes.QueryRangeRequest, client *qbtypes.RawStream)
statsreporter.StatsCollector
// QueryRangePreview validates and renders the queries without executing them.
QueryRangePreview(ctx context.Context, orgID valuer.UUID, req *qbtypes.QueryRangeRequest, opts qbtypes.QueryRangePreviewOptions) (*qbtypes.QueryRangePreviewResponse, error)
}
type querier struct {
logger *slog.Logger
fl flagger.Flagger
telemetryStore telemetrystore.TelemetryStore
metadataStore telemetrytypes.MetadataStore
promEngine prometheus.Prometheus
logger *slog.Logger
fl flagger.Flagger
telemetryStore telemetrystore.TelemetryStore
metadataStore telemetrytypes.MetadataStore
promEngine prometheus.Prometheus
// promV2 is the clickhousev2 prometheus provider, wired only when the
// serving provider is the default one (nil otherwise). It reads the same
// ClickHouse data through a different implementation; PromQL queries
// shadow-compare against it behind the use_prometheus_clickhouse_v2 flag
// and can be pinned to it for a response (see promqlOptions). It never
// serves by default — that cutover happens only after the shadow logs
// stay clean.
promV2 *clickhouseprometheusv2.Provider
traceStmtBuilder qbtypes.StatementBuilder[qbtypes.TraceAggregation]
aiTraceStmtBuilder qbtypes.StatementBuilder[qbtypes.TraceAggregation]
logStmtBuilder qbtypes.StatementBuilder[qbtypes.LogAggregation]
auditStmtBuilder qbtypes.StatementBuilder[qbtypes.LogAggregation]
metricStmtBuilder qbtypes.StatementBuilder[qbtypes.MetricAggregation]
@@ -62,8 +61,16 @@ type querier struct {
liveDataRefresh time.Duration
builderConfig builderConfig
maxConcurrentQueries int
// shadowSlots bounds concurrent shadow comparisons per process; shadows
// detach from their requests, so nothing else limits how many pile up.
shadowSlots chan struct{}
}
// maxConcurrentShadows is deliberately small: a shadow is a full extra
// ClickHouse evaluation, and a sampled stream of comparisons is exactly as
// useful for rollout evidence as an exhaustive one under load.
const maxConcurrentShadows = 8
var _ Querier = (*querier)(nil)
func New(
@@ -71,8 +78,8 @@ func New(
telemetryStore telemetrystore.TelemetryStore,
metadataStore telemetrytypes.MetadataStore,
promEngine prometheus.Prometheus,
promV2 *clickhouseprometheusv2.Provider,
traceStmtBuilder qbtypes.StatementBuilder[qbtypes.TraceAggregation],
aiTraceStmtBuilder qbtypes.StatementBuilder[qbtypes.TraceAggregation],
logStmtBuilder qbtypes.StatementBuilder[qbtypes.LogAggregation],
auditStmtBuilder qbtypes.StatementBuilder[qbtypes.LogAggregation],
metricStmtBuilder qbtypes.StatementBuilder[qbtypes.MetricAggregation],
@@ -93,8 +100,8 @@ func New(
telemetryStore: telemetryStore,
metadataStore: metadataStore,
promEngine: promEngine,
promV2: promV2,
traceStmtBuilder: traceStmtBuilder,
aiTraceStmtBuilder: aiTraceStmtBuilder,
logStmtBuilder: logStmtBuilder,
auditStmtBuilder: auditStmtBuilder,
metricStmtBuilder: metricStmtBuilder,
@@ -106,6 +113,7 @@ func New(
logTraceIDWindowPaddingMS: uint64(logTraceIDWindowPadding.Milliseconds()),
},
maxConcurrentQueries: maxConcurrentQueries,
shadowSlots: make(chan struct{}, maxConcurrentShadows),
}
}
@@ -145,7 +153,11 @@ func (q *querier) QueryRange(ctx context.Context, orgID valuer.UUID, req *qbtype
missingMetricQuerySet[name] = true
}
queries, steps, err := q.buildQueries(orgID, req, dependencyQueries, missingMetricQuerySet, event)
promqlOpts, err := q.promqlOptions(ctx, orgID, req)
if err != nil {
return nil, err
}
queries, steps, err := q.buildQueries(orgID, req, dependencyQueries, missingMetricQuerySet, event, promqlOpts)
if err != nil {
return nil, err
}
@@ -188,12 +200,41 @@ func (q *querier) QueryRange(ctx context.Context, orgID valuer.UUID, req *qbtype
return qbResp, qbErr
}
// promqlOptions derives the PromQL execution options for a request. With the
// org's use_prometheus_clickhouse_v2 flag on, queries are shadow-compared
// against the clickhousev2 provider (serving unaffected, diffs logged; see
// promql_shadow.go). The X-SigNoz-PromQL-Provider header may instead pin the
// response to that provider — integration tests and support fetch both
// results for comparison — so it is deliberately flag-gated too: without the
// gate the header would be an unaudited switch onto a provider still under
// validation.
func (q *querier) promqlOptions(ctx context.Context, orgID valuer.UUID, req *qbtypes.QueryRangeRequest) (promqlOptions, error) {
enabled := q.fl.BooleanOrEmpty(ctx, flagger.FeatureUsePrometheusClickhouseV2, featuretypes.NewFlaggerEvaluationContext(orgID))
if req.PromQLProvider == "" {
if enabled && q.promV2 != nil {
return promqlOptions{shadow: q.promV2, shadowSlots: q.shadowSlots}, nil
}
return promqlOptions{}, nil
}
if req.PromQLProvider != prometheus.ProviderClickhouseV2 {
return promqlOptions{}, errors.NewInvalidInputf(errors.CodeInvalidInput, "unknown promql provider %q", req.PromQLProvider)
}
if !enabled {
return promqlOptions{}, errors.NewInvalidInputf(errors.CodeInvalidInput, "promql provider %q requires the use_prometheus_clickhouse_v2 flag", req.PromQLProvider)
}
if q.promV2 == nil {
return promqlOptions{}, errors.NewInvalidInputf(errors.CodeInvalidInput, "promql provider %q is not available", req.PromQLProvider)
}
return promqlOptions{serve: q.promV2}, nil
}
func (q *querier) buildQueries(
orgID valuer.UUID,
req *qbtypes.QueryRangeRequest,
dependencyQueries map[string]bool,
missingMetricQuerySet map[string]bool,
event *qbtypes.QBEvent,
promqlOpts promqlOptions,
) (map[string]qbtypes.Query, map[string]qbtypes.Step, error) {
tmplVars := req.Variables
@@ -218,7 +259,7 @@ func (q *querier) buildQueries(
if !ok {
return nil, nil, errors.NewInvalidInputf(errors.CodeInvalidInput, "invalid promql query spec %T", query.Spec)
}
promqlQuery := newPromqlQuery(q.logger, q.promEngine, promQuery, qbtypes.TimeRange{From: req.Start, To: req.End}, req.RequestType, tmplVars)
promqlQuery := newPromqlQuery(q.logger, q.promEngine, promQuery, qbtypes.TimeRange{From: req.Start, To: req.End}, req.RequestType, tmplVars, promqlOpts)
queries[promQuery.Name] = promqlQuery
steps[promQuery.Name] = promQuery.Step
case qbtypes.QueryTypeClickHouseSQL:
@@ -245,16 +286,6 @@ func (q *querier) buildQueries(
}
queries[traceOpQuery.Name] = toq
steps[traceOpQuery.Name] = traceOpQuery.StepInterval
case qbtypes.QueryTypeBuilderAI:
spec, ok := query.Spec.(qbtypes.QueryBuilderQuery[qbtypes.TraceAggregation])
if !ok {
return nil, nil, errors.NewInvalidInputf(errors.CodeInvalidInput, "invalid AI builder query spec %T", query.Spec)
}
spec.ShiftBy = extractShiftFromBuilderQuery(spec)
timeRange := adjustTimeRangeForShift(spec, qbtypes.TimeRange{From: req.Start, To: req.End}, req.RequestType)
bq := newBuilderQuery(q.logger, q.telemetryStore, orgID, q.aiTraceStmtBuilder, spec, timeRange, req.RequestType, tmplVars, builderConfig{})
queries[spec.Name] = bq
steps[spec.Name] = spec.StepInterval
case qbtypes.QueryTypeBuilder:
switch spec := query.Spec.(type) {
case qbtypes.QueryBuilderQuery[qbtypes.TraceAggregation]:
@@ -321,11 +352,6 @@ func (q *querier) populateQBEvent(event *qbtypes.QBEvent, queries []qbtypes.Quer
case qbtypes.QueryBuilderQuery[qbtypes.MetricAggregation]:
event.MetricsUsed = true
}
case qbtypes.QueryTypeBuilderAI:
filter := query.GetFilter()
event.FilterApplied = event.FilterApplied || (filter != nil && filter.Expression != "")
event.GroupByApplied = event.GroupByApplied || len(query.GetGroupBy()) > 0
event.TracesUsed = true
case qbtypes.QueryTypePromQL:
event.MetricsUsed = true
case qbtypes.QueryTypeTraceOperator:
@@ -876,7 +902,7 @@ func (q *querier) createRangedQuery(_ valuer.UUID, originalQuery qbtypes.Query,
switch qt := originalQuery.(type) {
case *promqlQuery:
queryCopy := qt.query.Copy()
return newPromqlQuery(q.logger, q.promEngine, queryCopy, timeRange, qt.requestType, qt.vars)
return newPromqlQuery(q.logger, qt.promEngine, queryCopy, timeRange, qt.requestType, qt.vars, qt.opts)
case *chSQLQuery:
queryCopy := qt.query.Copy()
@@ -888,9 +914,7 @@ func (q *querier) createRangedQuery(_ valuer.UUID, originalQuery qbtypes.Query,
specCopy := qt.spec.Copy()
specCopy.ShiftBy = extractShiftFromBuilderQuery(specCopy)
adjustedTimeRange := adjustTimeRangeForShift(specCopy, timeRange, qt.kind)
// Reuse the statement builder the original query was created with, so an AI
// query keeps its AI builder without re-deriving it from the spec.
return newBuilderQuery(q.logger, q.telemetryStore, qt.orgID, qt.stmtBuilder, specCopy, adjustedTimeRange, qt.kind, qt.variables, builderConfig{})
return newBuilderQuery(q.logger, q.telemetryStore, qt.orgID, q.traceStmtBuilder, specCopy, adjustedTimeRange, qt.kind, qt.variables, builderConfig{})
case *builderQuery[qbtypes.LogAggregation]:
specCopy := qt.spec.Copy()
@@ -1247,8 +1271,6 @@ func (q *querier) adjustStepInterval(queries []qbtypes.QueryEnvelope, start, end
if qe.GetStepInterval().Seconds() == 0 {
qe.SetStepInterval(secondsStep(metricRecommended))
}
case qbtypes.QueryTypeBuilderAI:
clampStep(qe, traceLogRecommended, traceLogMin, &warnings)
case qbtypes.QueryTypeTraceOperator:
clampStep(qe, traceLogRecommended, traceLogMin, &warnings)
}

View File

@@ -48,8 +48,8 @@ func TestQueryRange_MetricTypeMissing(t *testing.T) {
nil, // telemetryStore
metadataStore,
nil, // prometheus
nil, // promV2
nil, // traceStmtBuilder
nil, // aiTraceStmtBuilder
nil, // logStmtBuilder
nil, // auditStmtBuilder
nil, // metricStmtBuilder
@@ -120,18 +120,18 @@ func TestQueryRange_MetricTypeFromStore(t *testing.T) {
providerSettings,
telemetryStore,
metadataStore,
nil, // prometheus
nil, // traceStmtBuilder
nil, // aiTraceStmtBuilder
nil, // logStmtBuilder
nil, // auditStmtBuilder
&mockMetricStmtBuilder{},
nil, // meterStmtBuilder
nil, // traceOperatorStmtBuilder
nil, // bucketCache
flaggertest.New(t), // flagger
0, // logTraceIDWindowPadding
0, // maxConcurrentQueries
nil, // prometheus
nil, // promV2
nil, // traceStmtBuilder
nil, // logStmtBuilder
nil, // auditStmtBuilder
&mockMetricStmtBuilder{}, // metricStmtBuilder
nil, // meterStmtBuilder
nil, // traceOperatorStmtBuilder
nil, // bucketCache
flaggertest.New(t), // flagger
0, // logTraceIDWindowPadding
0, // maxConcurrentQueries
)
req := &qbtypes.QueryRangeRequest{

View File

@@ -1,52 +0,0 @@
package queriertest
import (
"context"
"github.com/SigNoz/signoz/pkg/querier"
qbtypes "github.com/SigNoz/signoz/pkg/types/querybuildertypes/querybuildertypesv5"
"github.com/SigNoz/signoz/pkg/valuer"
)
// MockQuerier implements querier.Querier for testing. Each behavior can be
// overridden via a function field; unset fields return empty, non-error values.
type MockQuerier struct {
QueryRangeFunc func(ctx context.Context, orgID valuer.UUID, req *qbtypes.QueryRangeRequest) (*qbtypes.QueryRangeResponse, error)
QueryRawStreamFunc func(ctx context.Context, orgID valuer.UUID, req *qbtypes.QueryRangeRequest, client *qbtypes.RawStream)
QueryRangePreviewFunc func(ctx context.Context, orgID valuer.UUID, req *qbtypes.QueryRangeRequest, opts qbtypes.QueryRangePreviewOptions) (*qbtypes.QueryRangePreviewResponse, error)
CollectFunc func(ctx context.Context, orgID valuer.UUID) (map[string]any, error)
}
var _ querier.Querier = (*MockQuerier)(nil)
// NewMockQuerier creates a new MockQuerier.
func NewMockQuerier() *MockQuerier {
return &MockQuerier{}
}
func (m *MockQuerier) QueryRange(ctx context.Context, orgID valuer.UUID, req *qbtypes.QueryRangeRequest) (*qbtypes.QueryRangeResponse, error) {
if m.QueryRangeFunc != nil {
return m.QueryRangeFunc(ctx, orgID, req)
}
return &qbtypes.QueryRangeResponse{}, nil
}
func (m *MockQuerier) QueryRawStream(ctx context.Context, orgID valuer.UUID, req *qbtypes.QueryRangeRequest, client *qbtypes.RawStream) {
if m.QueryRawStreamFunc != nil {
m.QueryRawStreamFunc(ctx, orgID, req, client)
}
}
func (m *MockQuerier) QueryRangePreview(ctx context.Context, orgID valuer.UUID, req *qbtypes.QueryRangeRequest, opts qbtypes.QueryRangePreviewOptions) (*qbtypes.QueryRangePreviewResponse, error) {
if m.QueryRangePreviewFunc != nil {
return m.QueryRangePreviewFunc(ctx, orgID, req, opts)
}
return &qbtypes.QueryRangePreviewResponse{}, nil
}
func (m *MockQuerier) Collect(ctx context.Context, orgID valuer.UUID) (map[string]any, error) {
if m.CollectFunc != nil {
return m.CollectFunc(ctx, orgID)
}
return map[string]any{}, nil
}

View File

@@ -3,56 +3,196 @@ package signozquerier
import (
"context"
"github.com/SigNoz/signoz/pkg/cache"
"github.com/SigNoz/signoz/pkg/factory"
"github.com/SigNoz/signoz/pkg/flagger"
"github.com/SigNoz/signoz/pkg/prometheus"
"github.com/SigNoz/signoz/pkg/prometheus/clickhouseprometheusv2"
"github.com/SigNoz/signoz/pkg/querier"
"github.com/SigNoz/signoz/pkg/querybuilder"
"github.com/SigNoz/signoz/pkg/telemetryaudit"
"github.com/SigNoz/signoz/pkg/telemetrylogs"
"github.com/SigNoz/signoz/pkg/telemetrymetadata"
"github.com/SigNoz/signoz/pkg/telemetrymeter"
"github.com/SigNoz/signoz/pkg/telemetrymetrics"
"github.com/SigNoz/signoz/pkg/telemetrystore"
qbtypes "github.com/SigNoz/signoz/pkg/types/querybuildertypes/querybuildertypesv5"
"github.com/SigNoz/signoz/pkg/types/telemetrytypes"
"github.com/SigNoz/signoz/pkg/telemetrytraces"
)
// NewFactory creates a new factory for the signoz querier provider. The query
// stack (metadata store, statement builders, bucket cache) is assembled once in
// signoz.go and injected here.
// NewFactory creates a new factory for the signoz querier provider.
func NewFactory(
telemetryStore telemetrystore.TelemetryStore,
prometheus prometheus.Prometheus,
metadataStore telemetrytypes.MetadataStore,
traceStmtBuilder qbtypes.StatementBuilder[qbtypes.TraceAggregation],
aiTraceStmtBuilder qbtypes.StatementBuilder[qbtypes.TraceAggregation],
logStmtBuilder qbtypes.StatementBuilder[qbtypes.LogAggregation],
auditStmtBuilder qbtypes.StatementBuilder[qbtypes.LogAggregation],
metricStmtBuilder qbtypes.StatementBuilder[qbtypes.MetricAggregation],
meterStmtBuilder qbtypes.StatementBuilder[qbtypes.MetricAggregation],
traceOperatorStmtBuilder qbtypes.TraceOperatorStatementBuilder,
bucketCache querier.BucketCache,
promV2 *clickhouseprometheusv2.Provider,
cache cache.Cache,
flagger flagger.Flagger,
) factory.ProviderFactory[querier.Querier, querier.Config] {
return factory.NewProviderFactory(
factory.MustNewName("signoz"),
func(
_ context.Context,
ctx context.Context,
settings factory.ProviderSettings,
cfg querier.Config,
) (querier.Querier, error) {
return querier.New(
settings,
telemetryStore,
metadataStore,
prometheus,
traceStmtBuilder,
aiTraceStmtBuilder,
logStmtBuilder,
auditStmtBuilder,
metricStmtBuilder,
meterStmtBuilder,
traceOperatorStmtBuilder,
bucketCache,
flagger,
cfg.LogTraceIDWindowPadding,
cfg.MaxConcurrentQueries,
), nil
return newProvider(ctx, settings, cfg, telemetryStore, prometheus, promV2, cache, flagger)
},
)
}
func newProvider(
_ context.Context,
settings factory.ProviderSettings,
cfg querier.Config,
telemetryStore telemetrystore.TelemetryStore,
prometheus prometheus.Prometheus,
promV2 *clickhouseprometheusv2.Provider,
cache cache.Cache,
flagger flagger.Flagger,
) (querier.Querier, error) {
// Create telemetry metadata store
telemetryMetadataStore := telemetrymetadata.NewTelemetryMetaStore(
settings,
telemetryStore,
telemetrytraces.DBName,
telemetrytraces.TagAttributesV2TableName,
telemetrytraces.SpanAttributesKeysTblName,
telemetrytraces.SpanIndexV3TableName,
telemetrymetrics.DBName,
telemetrymetrics.AttributesMetadataTableName,
telemetrymeter.DBName,
telemetrymeter.SamplesAgg1dTableName,
telemetrylogs.DBName,
telemetrylogs.LogsV2TableName,
telemetrylogs.TagAttributesV2TableName,
telemetrylogs.LogAttributeKeysTblName,
telemetrylogs.LogResourceKeysTblName,
telemetryaudit.DBName,
telemetryaudit.AuditLogsTableName,
telemetryaudit.TagAttributesTableName,
telemetryaudit.LogAttributeKeysTblName,
telemetryaudit.LogResourceKeysTblName,
telemetrymetadata.DBName,
telemetrymetadata.AttributesMetadataTableName,
telemetrymetadata.ColumnEvolutionMetadataTableName,
flagger,
)
// Create trace statement builder
traceFieldMapper := telemetrytraces.NewFieldMapper()
traceConditionBuilder := telemetrytraces.NewConditionBuilder(traceFieldMapper)
traceAggExprRewriter := querybuilder.NewAggExprRewriter(settings, nil, traceFieldMapper, traceConditionBuilder, flagger)
traceStmtBuilder := telemetrytraces.NewTraceQueryStatementBuilder(
settings,
telemetryMetadataStore,
traceFieldMapper,
traceConditionBuilder,
traceAggExprRewriter,
telemetryStore,
flagger,
cfg.SkipResourceFingerprint.Enabled,
cfg.SkipResourceFingerprint.Threshold,
)
// Create trace operator statement builder
traceOperatorStmtBuilder := telemetrytraces.NewTraceOperatorStatementBuilder(
settings,
telemetryMetadataStore,
traceFieldMapper,
traceConditionBuilder,
traceStmtBuilder,
traceAggExprRewriter,
flagger,
)
// Create log statement builder
logFieldMapper := telemetrylogs.NewFieldMapper(flagger)
logConditionBuilder := telemetrylogs.NewConditionBuilder(logFieldMapper, flagger)
logAggExprRewriter := querybuilder.NewAggExprRewriter(
settings,
telemetrylogs.DefaultFullTextColumn,
logFieldMapper,
logConditionBuilder,
flagger,
)
logStmtBuilder := telemetrylogs.NewLogQueryStatementBuilder(
settings,
telemetryMetadataStore,
logFieldMapper,
logConditionBuilder,
logAggExprRewriter,
telemetrylogs.DefaultFullTextColumn,
flagger,
telemetryStore,
cfg.SkipResourceFingerprint.Enabled,
cfg.SkipResourceFingerprint.Threshold,
)
// Create audit statement builder
auditFieldMapper := telemetryaudit.NewFieldMapper()
auditConditionBuilder := telemetryaudit.NewConditionBuilder(auditFieldMapper)
auditAggExprRewriter := querybuilder.NewAggExprRewriter(
settings,
telemetryaudit.DefaultFullTextColumn,
auditFieldMapper,
auditConditionBuilder,
flagger,
)
auditStmtBuilder := telemetryaudit.NewAuditQueryStatementBuilder(
settings,
telemetryMetadataStore,
auditFieldMapper,
auditConditionBuilder,
auditAggExprRewriter,
telemetryaudit.DefaultFullTextColumn,
flagger,
)
// Create metric statement builder
metricFieldMapper := telemetrymetrics.NewFieldMapper()
metricConditionBuilder := telemetrymetrics.NewConditionBuilder(metricFieldMapper)
metricStmtBuilder := telemetrymetrics.NewMetricQueryStatementBuilder(
settings,
telemetryMetadataStore,
metricFieldMapper,
metricConditionBuilder,
flagger,
)
// Create meter statement builder
meterStmtBuilder := telemetrymeter.NewMeterQueryStatementBuilder(
settings,
telemetryMetadataStore,
metricFieldMapper,
metricConditionBuilder,
metricStmtBuilder,
)
// Create bucket cache
bucketCache := querier.NewBucketCache(
settings,
cache,
cfg.CacheTTL,
cfg.FluxInterval,
)
// Create and return the querier
return querier.New(
settings,
telemetryStore,
telemetryMetadataStore,
prometheus,
promV2,
traceStmtBuilder,
logStmtBuilder,
auditStmtBuilder,
metricStmtBuilder,
meterStmtBuilder,
traceOperatorStmtBuilder,
bucketCache,
flagger,
cfg.LogTraceIDWindowPadding,
cfg.MaxConcurrentQueries,
), nil
}

View File

@@ -18,14 +18,6 @@ import (
"github.com/SigNoz/signoz/pkg/querier/signozquerier"
"github.com/SigNoz/signoz/pkg/sqlstore"
"github.com/SigNoz/signoz/pkg/sqlstore/sqlstoretest"
"github.com/SigNoz/signoz/pkg/statementbuilder"
"github.com/SigNoz/signoz/pkg/statementbuilder/aistatementbuilder"
"github.com/SigNoz/signoz/pkg/statementbuilder/auditstatementbuilder"
"github.com/SigNoz/signoz/pkg/statementbuilder/logsstatementbuilder"
"github.com/SigNoz/signoz/pkg/statementbuilder/meterstatementbuilder"
"github.com/SigNoz/signoz/pkg/statementbuilder/metricsstatementbuilder"
"github.com/SigNoz/signoz/pkg/statementbuilder/tracesstatementbuilder"
"github.com/SigNoz/signoz/pkg/telemetrymetadata"
"github.com/SigNoz/signoz/pkg/telemetrystore"
"github.com/SigNoz/signoz/pkg/telemetrystore/telemetrystoretest"
"github.com/stretchr/testify/require"
@@ -113,25 +105,7 @@ func NewTestManager(t *testing.T, testOpts *TestManagerOptions) *Manager {
}
// Create querier with test values
metadataStore := telemetrymetadata.NewTelemetryMetaStore(providerSettings, telemetryStore, flagger)
cfg := statementbuilder.Config{}
ctx := context.Background()
traceStmtBuilder, err := tracesstatementbuilder.NewFactory(telemetryStore, metadataStore, flagger).New(ctx, providerSettings, cfg)
require.NoError(t, err)
aiTraceStmtBuilder, err := aistatementbuilder.NewFactory(telemetryStore, metadataStore, flagger).New(ctx, providerSettings, cfg)
require.NoError(t, err)
traceOperatorStmtBuilder, err := tracesstatementbuilder.NewOperatorFactory(telemetryStore, metadataStore, flagger).New(ctx, providerSettings, cfg)
require.NoError(t, err)
logStmtBuilder, err := logsstatementbuilder.NewFactory(telemetryStore, metadataStore, flagger).New(ctx, providerSettings, cfg)
require.NoError(t, err)
auditStmtBuilder, err := auditstatementbuilder.NewFactory(metadataStore, flagger).New(ctx, providerSettings, cfg)
require.NoError(t, err)
metricStmtBuilder, err := metricsstatementbuilder.NewFactory(metadataStore, flagger).New(ctx, providerSettings, cfg)
require.NoError(t, err)
meterStmtBuilder, err := meterstatementbuilder.NewFactory(metadataStore, flagger).New(ctx, providerSettings, cfg)
require.NoError(t, err)
bucketCache := querier.NewBucketCache(providerSettings, cache, 0, 0)
providerFactory := signozquerier.NewFactory(telemetryStore, prometheus, metadataStore, traceStmtBuilder, aiTraceStmtBuilder, logStmtBuilder, auditStmtBuilder, metricStmtBuilder, meterStmtBuilder, traceOperatorStmtBuilder, bucketCache, flagger)
providerFactory := signozquerier.NewFactory(telemetryStore, prometheus, nil, cache, flagger)
mockQuerier, err := providerFactory.New(context.Background(), providerSettings, querier.Config{})
require.NoError(t, err)

View File

@@ -8,11 +8,11 @@ import (
"github.com/SigNoz/signoz/pkg/flagger"
"github.com/SigNoz/signoz/pkg/instrumentation/instrumentationtest"
"github.com/SigNoz/signoz/pkg/querier"
"github.com/SigNoz/signoz/pkg/statementbuilder"
"github.com/SigNoz/signoz/pkg/statementbuilder/logsstatementbuilder"
"github.com/SigNoz/signoz/pkg/statementbuilder/metricsstatementbuilder"
"github.com/SigNoz/signoz/pkg/statementbuilder/tracesstatementbuilder"
"github.com/SigNoz/signoz/pkg/querybuilder"
"github.com/SigNoz/signoz/pkg/telemetrylogs"
"github.com/SigNoz/signoz/pkg/telemetrymetrics"
"github.com/SigNoz/signoz/pkg/telemetrystore"
"github.com/SigNoz/signoz/pkg/telemetrytraces"
"github.com/SigNoz/signoz/pkg/types/telemetrytypes"
"github.com/SigNoz/signoz/pkg/types/telemetrytypes/telemetrytypestest"
"github.com/stretchr/testify/require"
@@ -24,7 +24,7 @@ func prepareQuerierForMetrics(t *testing.T, telemetryStore telemetrystore.Teleme
providerSettings := instrumentationtest.New().ToProviderSettings()
metadataStore := telemetrytypestest.NewMockMetadataStore()
fl, err := flagger.New(
flagger, err := flagger.New(
context.Background(),
instrumentationtest.New().ToProviderSettings(),
flagger.Config{},
@@ -32,23 +32,30 @@ func prepareQuerierForMetrics(t *testing.T, telemetryStore telemetrystore.Teleme
)
require.NoError(t, err)
metricStmtBuilder, err := metricsstatementbuilder.NewFactory(metadataStore, fl).New(context.Background(), providerSettings, statementbuilder.Config{})
require.NoError(t, err)
metricFieldMapper := telemetrymetrics.NewFieldMapper()
metricConditionBuilder := telemetrymetrics.NewConditionBuilder(metricFieldMapper)
metricStmtBuilder := telemetrymetrics.NewMetricQueryStatementBuilder(
providerSettings,
metadataStore,
metricFieldMapper,
metricConditionBuilder,
flagger,
)
return querier.New(
providerSettings,
telemetryStore,
metadataStore,
nil, // prometheus
nil, // promV2
nil, // traceStmtBuilder
nil, // aiTraceStmtBuilder
nil, // logStmtBuilder
nil, // auditStmtBuilder
metricStmtBuilder,
nil, // meterStmtBuilder
nil, // traceOperatorStmtBuilder
nil, // bucketCache
fl,
flagger,
0,
0, // maxConcurrentQueries (0 means default)
), metadataStore
@@ -67,22 +74,41 @@ func prepareQuerierForLogs(t *testing.T, telemetryStore telemetrystore.Telemetry
metadataStore.KeysMap = keysMap
fl := flaggertest.New(t)
logStmtBuilder, err := logsstatementbuilder.NewFactory(nil, metadataStore, fl).New(context.Background(), providerSettings, statementbuilder.Config{})
require.NoError(t, err)
logFieldMapper := telemetrylogs.NewFieldMapper(fl)
logConditionBuilder := telemetrylogs.NewConditionBuilder(logFieldMapper, fl)
logAggExprRewriter := querybuilder.NewAggExprRewriter(
providerSettings,
telemetrylogs.DefaultFullTextColumn,
logFieldMapper,
logConditionBuilder,
fl,
)
logStmtBuilder := telemetrylogs.NewLogQueryStatementBuilder(
providerSettings,
metadataStore,
logFieldMapper,
logConditionBuilder,
logAggExprRewriter,
telemetrylogs.DefaultFullTextColumn,
fl,
nil,
false,
100000,
)
return querier.New(
providerSettings,
telemetryStore,
metadataStore,
nil, // prometheus
nil, // traceStmtBuilder
nil, // aiTraceStmtBuilder
logStmtBuilder,
nil, // auditStmtBuilder
nil, // metricStmtBuilder
nil, // meterStmtBuilder
nil, // traceOperatorStmtBuilder
nil, // bucketCache
nil, // prometheus
nil, // promV2
nil, // traceStmtBuilder
logStmtBuilder, // logStmtBuilder
nil, // auditStmtBuilder
nil, // metricStmtBuilder
nil, // meterStmtBuilder
nil, // traceOperatorStmtBuilder
nil, // bucketCache
fl,
5*time.Minute, // logTraceIDWindowPadding
0, // maxConcurrentQueries (0 means default)
@@ -102,23 +128,37 @@ func prepareQuerierForTraces(t *testing.T, telemetryStore telemetrystore.Telemet
}
metadataStore.KeysMap = keysMap
// Create trace statement builder
traceFieldMapper := telemetrytraces.NewFieldMapper()
traceConditionBuilder := telemetrytraces.NewConditionBuilder(traceFieldMapper)
fl := flaggertest.New(t)
traceStmtBuilder, err := tracesstatementbuilder.NewFactory(telemetryStore, metadataStore, fl).New(context.Background(), providerSettings, statementbuilder.Config{})
require.NoError(t, err)
traceAggExprRewriter := querybuilder.NewAggExprRewriter(providerSettings, nil, traceFieldMapper, traceConditionBuilder, fl)
traceStmtBuilder := telemetrytraces.NewTraceQueryStatementBuilder(
providerSettings,
metadataStore,
traceFieldMapper,
traceConditionBuilder,
traceAggExprRewriter,
telemetryStore,
fl,
false,
100000,
)
return querier.New(
providerSettings,
telemetryStore,
metadataStore,
nil, // prometheus
traceStmtBuilder,
nil, // aiTraceStmtBuilder
nil, // logStmtBuilder
nil, // auditStmtBuilder
nil, // metricStmtBuilder
nil, // meterStmtBuilder
nil, // traceOperatorStmtBuilder
nil, // bucketCache
nil, // prometheus
nil, // promV2
traceStmtBuilder, // traceStmtBuilder
nil, // logStmtBuilder
nil, // auditStmtBuilder
nil, // metricStmtBuilder
nil, // meterStmtBuilder
nil, // traceOperatorStmtBuilder
nil, // bucketCache
fl,
0,
0, // maxConcurrentQueries (0 means default)

View File

@@ -1,176 +0,0 @@
package querybuilder
import (
"strings"
"github.com/SigNoz/signoz/pkg/errors"
grammar "github.com/SigNoz/signoz/pkg/parser/filterquery/grammar"
"github.com/SigNoz/signoz/pkg/types/telemetrytypes"
"github.com/antlr4-go/antlr/v4"
)
// SplitFilterForAggregates partitions a single filter expression into a span-level
// part (a WHERE over spans) and a trace-level part (a HAVING over per-trace
// aggregates), splitting on the top-level AND.
//
// A key is trace-level when it carries the trace field context (`trace.completion_tokens`)
// or, with no context, its bare name is in aggregateNames. Any other explicit context
// (`span.`, `resource.`, …) is span-level. Trace-level and span-level keys may be
// AND-combined (they run at different query stages) but not OR-combined; an OR that
// mixes the two is an error.
func SplitFilterForAggregates(query string, aggregateNames map[string]struct{}) (spanExpr string, havingExpr string, err error) {
if strings.TrimSpace(query) == "" {
return "", "", nil
}
tree, syntaxErrors := parseFilterQuery(query)
if len(syntaxErrors) > 0 {
combinedErrors := errors.Newf(
errors.TypeInvalidInput,
errors.CodeInvalidInput,
"Found %d syntax errors while parsing the filter expression.",
len(syntaxErrors),
)
additionals := make([]string, 0, len(syntaxErrors))
for _, syntaxError := range syntaxErrors {
if syntaxError.Error() != "" {
additionals = append(additionals, syntaxError.Error())
}
}
// TODO: add troubleshooting link to the filter query syntax guide once it's published.
return "", "", combinedErrors.WithAdditional(additionals...)
}
s := filterSplitter{query: []rune(query), aggregateNames: aggregateNames}
s.visit(tree)
if s.mixed {
return "", "", errors.NewInvalidInputf(errors.CodeInvalidInput,
"trace-level and span-level filters cannot be combined within an OR/NOT group; separate them with a top-level AND")
}
return strings.Join(s.span, " AND "), strings.Join(s.having, " AND "), nil
}
func parseFilterQuery(query string) (antlr.Tree, []*SyntaxErr) {
lexerErrorListener := NewErrorListener()
lexer := grammar.NewFilterQueryLexer(antlr.NewInputStream(query))
lexer.RemoveErrorListeners()
lexer.AddErrorListener(lexerErrorListener)
parserErrorListener := NewErrorListener()
parser := grammar.NewFilterQueryParser(antlr.NewCommonTokenStream(lexer, 0))
parser.RemoveErrorListeners()
parser.AddErrorListener(parserErrorListener)
tree := parser.Query()
return tree, append(lexerErrorListener.SyntaxErrors, parserErrorListener.SyntaxErrors...)
}
// filterSplitter walks the parse tree once, flattening the top-level AND chain and
// routing each atom (a comparison, a NOT expression, or a whole multi-branch OR group)
// to the span or having bucket by the class of the keys it references.
type filterSplitter struct {
query []rune
aggregateNames map[string]struct{}
span []string
having []string
mixed bool
}
func (s *filterSplitter) visit(node antlr.Tree) {
switch n := node.(type) {
case *grammar.QueryContext:
if n.Expression() != nil {
s.visit(n.Expression())
}
case *grammar.ExpressionContext:
if n.OrExpression() != nil {
s.visit(n.OrExpression())
}
case *grammar.OrExpressionContext:
// a single branch is just an AND chain; multiple branches are a real OR, kept
// whole so a class-mixing OR can be rejected.
if ands := n.AllAndExpression(); len(ands) == 1 {
s.visit(ands[0])
} else {
s.route(n)
}
case *grammar.AndExpressionContext:
for _, u := range n.AllUnaryExpression() {
s.visit(u)
}
case *grammar.UnaryExpressionContext:
if n.NOT() != nil {
s.route(n)
} else if n.Primary() != nil {
s.visit(n.Primary())
}
case *grammar.PrimaryContext:
if n.OrExpression() != nil { // parenthesized sub-expression
s.visit(n.OrExpression())
} else {
s.route(n)
}
}
}
// route classifies an atom and appends its original source text to the right bucket.
func (s *filterSplitter) route(atom antlr.ParserRuleContext) {
isTrace, isSpan := classifyKeys(atom, s.aggregateNames)
if isTrace && isSpan {
s.mixed = true
return
}
text := atomSourceText(s.query, atom)
// A multi-branch OR group's source slice excludes its enclosing parens (they belong
// to the parent Primary). Re-wrap it so rejoining a bucket with " AND " cannot invert
// OR/AND precedence, e.g. `a AND (b OR c)` must not flatten to `a AND b OR c`.
if or, ok := atom.(*grammar.OrExpressionContext); ok && len(or.AllAndExpression()) > 1 {
text = "(" + text + ")"
}
if isTrace {
s.having = append(s.having, text)
} else {
s.span = append(s.span, text)
}
}
// classifyKeys reports whether a subtree references trace-level and/or span-level keys.
// A key is trace-level when it carries the trace field context or, with no context,
// its name is a known aggregate; an unknown name under the trace context stays
// trace-level so the aggregate validation rejects it with a targeted error. Any other
// explicit context (`span.`, `resource.`, …) is span-level.
func classifyKeys(node antlr.Tree, aggregateNames map[string]struct{}) (isTrace, isSpan bool) {
kc, ok := node.(*grammar.KeyContext)
if ok {
key := telemetrytypes.GetFieldKeyFromKeyText(kc.GetText())
switch key.FieldContext {
case telemetrytypes.FieldContextTrace:
isTrace = true
case telemetrytypes.FieldContextUnspecified:
_, isTrace = aggregateNames[key.Name]
isSpan = !isTrace
default:
isSpan = true
}
return
}
for i := 0; i < node.GetChildCount(); i++ {
t, s := classifyKeys(node.GetChild(i), aggregateNames)
isTrace = isTrace || t
isSpan = isSpan || s
}
return
}
// atomSourceText returns the original source substring for an atom, preserving
// whitespace. The token stream drops skipped whitespace, which would glue word
// operators (OR/AND/NOT) to their operands, so slice the input by token offsets.
// ANTLR offsets are rune indices (InputStream holds []rune), hence the rune slice.
func atomSourceText(query []rune, atom antlr.ParserRuleContext) string {
start, stop := atom.GetStart(), atom.GetStop()
if start == nil || stop == nil || start.GetStart() < 0 || stop.GetStop() >= len(query) || stop.GetStop() < start.GetStart() {
return atom.GetText()
}
return string(query[start.GetStart() : stop.GetStop()+1])
}

View File

@@ -1,222 +0,0 @@
package querybuilder
import (
"testing"
"github.com/stretchr/testify/require"
)
func TestSplitFilterForAggregates(t *testing.T) {
agg := map[string]struct{}{"completion_tokens": {}, "span_count": {}, "prompt_tokens": {}}
type tc struct {
name string
query string
span string // expected span-level (WHERE) part; "" => empty
having string // expected trace-level (HAVING) part; "" => empty
wantErr bool
}
cases := []tc{
// --- empty input ---------------------------------------------------------
{
name: "empty",
},
{
name: "whitespace only",
query: " ",
},
// --- single class --------------------------------------------------------
{
name: "span only",
query: "service.name = 'x'",
span: "service.name = 'x'",
},
{
name: "agg only bare",
query: "completion_tokens > 1000",
having: "completion_tokens > 1000",
},
{
// the user-facing `trace.` prefix marks a trace-level aggregate.
name: "agg only trace prefix",
query: "trace.completion_tokens > 1000",
having: "trace.completion_tokens > 1000",
},
{
// an unknown name under the trace context still routes trace-level, so the
// aggregate validation rejects it with a targeted error instead of the span
// path failing on an unknown field.
name: "unknown aggregate under trace context stays trace-level",
query: "trace.not_an_aggregate > 1000",
having: "trace.not_an_aggregate > 1000",
},
{
// ANTLR token offsets are rune indices; slicing must not shift after a
// multi-byte char (this used to truncate 1000 → 100).
name: "unicode value before the split",
query: "service.name = 'héllo' AND completion_tokens > 1000",
span: "service.name = 'héllo'",
having: "completion_tokens > 1000",
},
// --- top-level AND splits across the two buckets -------------------------
{
name: "span AND agg",
query: "service.name = 'x' AND completion_tokens > 1000",
span: "service.name = 'x'",
having: "completion_tokens > 1000",
},
{
// order within a bucket is preserved; the two span atoms join with AND.
name: "span AND span AND agg",
query: "service.name = 'x' AND kind_string = 'Internal' AND completion_tokens > 1000",
span: "service.name = 'x' AND kind_string = 'Internal'",
having: "completion_tokens > 1000",
},
{
// a parenthesized top-level AND still splits across the two buckets.
name: "parenthesized span AND agg",
query: "(service.name = 'x' AND completion_tokens > 1000)",
span: "service.name = 'x'",
having: "completion_tokens > 1000",
},
// --- OR groups are re-wrapped in parens so a later AND-join can't invert
// precedence (`a AND (b OR c)` must not flatten to `a AND b OR c`) ------
{
name: "agg OR agg",
query: "completion_tokens > 1000 OR span_count > 3",
having: "(completion_tokens > 1000 OR span_count > 3)",
},
{
name: "span OR span",
query: "service.name = 'x' OR kind_string = 'Internal'",
span: "(service.name = 'x' OR kind_string = 'Internal')",
},
{
name: "span AND (span OR span)",
query: "service.name = 'x' AND (kind_string = 'Internal' OR kind_string = 'Client')",
span: "service.name = 'x' AND (kind_string = 'Internal' OR kind_string = 'Client')",
},
{
name: "agg AND (agg OR agg)",
query: "prompt_tokens > 5 AND (completion_tokens > 1000 OR span_count > 3)",
having: "prompt_tokens > 5 AND (completion_tokens > 1000 OR span_count > 3)",
},
{
// the OR group routes to span, the trailing aggregate to having.
name: "span AND (span OR span) AND agg",
query: "a.b = 'x' AND (c.d = 'y' OR e.f = 'z') AND completion_tokens > 1000",
span: "a.b = 'x' AND (c.d = 'y' OR e.f = 'z')",
having: "completion_tokens > 1000",
},
// --- a nested AND group flattens across the buckets (no spurious parens) --
{
name: "(span AND agg) AND agg",
query: "(service.name = 'x' AND completion_tokens > 1000) AND prompt_tokens > 5",
span: "service.name = 'x'",
having: "completion_tokens > 1000 AND prompt_tokens > 5",
},
// --- NOT wrapping a single-class group is routed whole to that class ------
{
name: "not agg",
query: "NOT (completion_tokens > 1000)",
having: "NOT (completion_tokens > 1000)",
},
{
name: "not span",
query: "NOT (service.name = 'x')",
span: "NOT (service.name = 'x')",
},
// --- an explicit non-trace context escapes the aggregate-alias shadow -----
{
// a span attribute named like an aggregate stays reachable via `attribute.`.
name: "attribute prefix on aggregate name routes span-level",
query: "attribute.completion_tokens > 5",
span: "attribute.completion_tokens > 5",
},
{
name: "span prefix on aggregate name routes span-level",
query: "span.completion_tokens > 5",
span: "span.completion_tokens > 5",
},
{
name: "prefixed attribute AND bare aggregate split across buckets",
query: "attribute.completion_tokens > 5 AND completion_tokens > 1000",
span: "attribute.completion_tokens > 5",
having: "completion_tokens > 1000",
},
// --- class-mixing is rejected in an OR group, a NOT group, or a nested OR -
{
name: "agg OR span rejected",
query: "completion_tokens > 1000 OR service.name = 'x'",
wantErr: true,
},
{
name: "not mixed rejected",
query: "NOT (completion_tokens > 1000 AND service.name = 'x')",
wantErr: true,
},
{
name: "span AND (agg OR span) rejected",
query: "service.name = 'x' AND (completion_tokens > 1000 OR kind_string = 'Client')",
wantErr: true,
},
// --- syntax errors are rejected, not silently dropped by error recovery ---
{
// recovery would yield an empty tree → both buckets empty → filter ignored.
name: "lone paren rejected",
query: ")",
wantErr: true,
},
{
name: "unbalanced parens rejected",
query: "((",
wantErr: true,
},
{
name: "bare operator rejected",
query: "AND",
wantErr: true,
},
{
// lexer-level error: recovery drops the whole expression.
name: "unterminated quote rejected",
query: "'unterminated",
wantErr: true,
},
{
// recovery would drop only the malformed atom and keep the rest — a
// partially applied filter with no error.
name: "garbage atom alongside valid agg rejected",
query: ") AND completion_tokens > 5",
wantErr: true,
},
{
name: "missing value rejected",
query: "completion_tokens >",
wantErr: true,
},
}
for _, c := range cases {
t.Run(c.name, func(t *testing.T) {
span, having, err := SplitFilterForAggregates(c.query, agg)
if c.wantErr {
require.Error(t, err)
return
}
require.NoError(t, err)
require.Equal(t, c.span, span, "span part")
require.Equal(t, c.having, having, "having part")
})
}
}

View File

@@ -18,19 +18,6 @@ func NewHavingExpressionRewriter() *HavingExpressionRewriter {
}
}
// Rewrite rewrites and validates a HAVING expression against a caller-supplied
// column map (user-facing name -> SQL identifier/expression). Values are inlined, so
// the result is a bare SQL boolean expression with no bound args. Used by callers
// that project their own aggregate columns (e.g. the AI trace list) rather than the
// query's Aggregations.
func (r *HavingExpressionRewriter) Rewrite(expression string, columnMap map[string]string) (string, error) {
if len(strings.TrimSpace(expression)) == 0 {
return "", nil
}
r.columnMap = columnMap
return r.rewriteAndValidate(expression)
}
// RewriteForTraces rewrites and validates the HAVING expression for a traces query.
func (r *HavingExpressionRewriter) RewriteForTraces(expression string, aggregations []qbtypes.TraceAggregation) (string, error) {
if len(strings.TrimSpace(expression)) == 0 {

View File

@@ -82,10 +82,6 @@ func resourcesForQuery(query gjson.Result, variables map[string]qbtypes.Variable
switch queryType {
case qbtypes.QueryTypeBuilder.StringValue(), qbtypes.QueryTypeSubQuery.StringValue():
return resourcesForBuilderQuery(queryType, query.Get("spec"), variables)
case qbtypes.QueryTypeBuilderAI.StringValue():
// An AI builder query is always a traces query; the signal is implied by the
// type (and may be absent from the payload), so pin the resource directly.
return builderQueryResourceRefs(queryType, coretypes.ResourceTelemetryResourceTraces, query.Get("spec"), variables)
case qbtypes.QueryTypePromQL.StringValue():
return []coretypes.ResourceWithID{{Resource: coretypes.ResourceTelemetryResourceMetrics, ID: typeWildcard}}, nil
case qbtypes.QueryTypeClickHouseSQL.StringValue():
@@ -107,10 +103,7 @@ func resourcesForBuilderQuery(queryType string, spec gjson.Result, variables map
if err != nil {
return nil, err
}
return builderQueryResourceRefs(queryType, resource, spec, variables)
}
func builderQueryResourceRefs(queryType string, resource coretypes.Resource, spec gjson.Result, variables map[string]qbtypes.VariableItem) ([]coretypes.ResourceWithID, error) {
ids, err := builderQuerySelectors(queryType, spec.Get("filter.expression").String(), variables)
if err != nil {
return nil, err

View File

@@ -92,20 +92,6 @@ func TestQueryRangeResources(t *testing.T) {
{Resource: coretypes.ResourceTelemetryResourceAuditLogs, ID: "builder_query/signoz.workspace.key.id/a"},
},
},
{
name: "ai builder query maps to traces resource without a signal",
body: `{"compositeQuery":{"queries":[{"type":"builder_ai_query","spec":{"filter":{"expression":"signoz.workspace.key.id = 'checkout'"}}}]}}`,
expected: []coretypes.ResourceWithID{
{Resource: coretypes.ResourceTelemetryResourceTraces, ID: "builder_ai_query/signoz.workspace.key.id/checkout"},
},
},
{
name: "ai builder query without filter is wildcard",
body: `{"compositeQuery":{"queries":[{"type":"builder_ai_query","spec":{}}]}}`,
expected: []coretypes.ResourceWithID{
{Resource: coretypes.ResourceTelemetryResourceTraces, ID: "builder_ai_query/*"},
},
},
{
name: "promql is wildcard only",
body: `{"compositeQuery":{"queries":[{"type":"promql","spec":{"query":"up"}}]}}`,

View File

@@ -39,7 +39,6 @@ import (
"github.com/SigNoz/signoz/pkg/sqlmigrator"
"github.com/SigNoz/signoz/pkg/sqlschema"
"github.com/SigNoz/signoz/pkg/sqlstore"
"github.com/SigNoz/signoz/pkg/statementbuilder"
"github.com/SigNoz/signoz/pkg/statsreporter"
"github.com/SigNoz/signoz/pkg/telemetrystore"
"github.com/SigNoz/signoz/pkg/tokenizer"
@@ -98,9 +97,6 @@ type Config struct {
// Querier config
Querier querier.Config `mapstructure:"querier"`
// StatementBuilder config
StatementBuilder statementbuilder.Config `mapstructure:"statementbuilder"`
// Ruler config
Ruler ruler.Config `mapstructure:"ruler"`
@@ -170,7 +166,6 @@ func NewConfig(ctx context.Context, logger *slog.Logger, resolverConfig config.R
prometheus.NewConfigFactory(),
alertmanager.NewConfigFactory(),
querier.NewConfigFactory(),
statementbuilder.NewConfigFactory(),
ruler.NewConfigFactory(),
emailing.NewConfigFactory(),
sharder.NewConfigFactory(),

View File

@@ -45,6 +45,7 @@ import (
"github.com/SigNoz/signoz/pkg/pprof/nooppprof"
"github.com/SigNoz/signoz/pkg/prometheus"
"github.com/SigNoz/signoz/pkg/prometheus/clickhouseprometheus"
"github.com/SigNoz/signoz/pkg/prometheus/clickhouseprometheusv2"
"github.com/SigNoz/signoz/pkg/querier"
"github.com/SigNoz/signoz/pkg/querier/signozquerier"
"github.com/SigNoz/signoz/pkg/sharder"
@@ -69,8 +70,6 @@ import (
"github.com/SigNoz/signoz/pkg/types/alertmanagertypes"
"github.com/SigNoz/signoz/pkg/types/dashboardtypes"
"github.com/SigNoz/signoz/pkg/types/featuretypes"
qbtypes "github.com/SigNoz/signoz/pkg/types/querybuildertypes/querybuildertypesv5"
"github.com/SigNoz/signoz/pkg/types/telemetrytypes"
"github.com/SigNoz/signoz/pkg/version"
"github.com/SigNoz/signoz/pkg/web"
"github.com/SigNoz/signoz/pkg/web/noopweb"
@@ -229,7 +228,6 @@ func NewSQLMigrationProviderFactories(
sqlmigration.NewAddTelemetryTuplesFactory(sqlstore),
sqlmigration.NewAddTagRelationRankFactory(sqlstore, sqlschema),
sqlmigration.NewMigrateDashboardsV1ToV2Factory(sqlstore, sqlschema, dashboardStore, tagModule),
sqlmigration.NewFillDashboardMeterSourceFactory(sqlstore, dashboardStore),
)
}
@@ -247,6 +245,7 @@ func NewTelemetryStoreProviderFactories() factory.NamedMap[factory.ProviderFacto
func NewPrometheusProviderFactories(telemetryStore telemetrystore.TelemetryStore) factory.NamedMap[factory.ProviderFactory[prometheus.Prometheus, prometheus.Config]] {
return factory.MustNewNamedMap(
clickhouseprometheus.NewFactory(telemetryStore),
clickhouseprometheusv2.NewFactory(telemetryStore),
)
}
@@ -288,9 +287,9 @@ func NewStatsReporterProviderFactories(aggregator statsreporter.Aggregator, orgG
)
}
func NewQuerierProviderFactories(telemetryStore telemetrystore.TelemetryStore, prometheus prometheus.Prometheus, metadataStore telemetrytypes.MetadataStore, traceStmtBuilder qbtypes.StatementBuilder[qbtypes.TraceAggregation], aiTraceStmtBuilder qbtypes.StatementBuilder[qbtypes.TraceAggregation], logStmtBuilder qbtypes.StatementBuilder[qbtypes.LogAggregation], auditStmtBuilder qbtypes.StatementBuilder[qbtypes.LogAggregation], metricStmtBuilder qbtypes.StatementBuilder[qbtypes.MetricAggregation], meterStmtBuilder qbtypes.StatementBuilder[qbtypes.MetricAggregation], traceOperatorStmtBuilder qbtypes.TraceOperatorStatementBuilder, bucketCache querier.BucketCache, flagger flagger.Flagger) factory.NamedMap[factory.ProviderFactory[querier.Querier, querier.Config]] {
func NewQuerierProviderFactories(telemetryStore telemetrystore.TelemetryStore, prometheus prometheus.Prometheus, promV2 *clickhouseprometheusv2.Provider, cache cache.Cache, flagger flagger.Flagger) factory.NamedMap[factory.ProviderFactory[querier.Querier, querier.Config]] {
return factory.MustNewNamedMap(
signozquerier.NewFactory(telemetryStore, prometheus, metadataStore, traceStmtBuilder, aiTraceStmtBuilder, logStmtBuilder, auditStmtBuilder, metricStmtBuilder, meterStmtBuilder, traceOperatorStmtBuilder, bucketCache, flagger),
signozquerier.NewFactory(telemetryStore, prometheus, promV2, cache, flagger),
)
}

View File

@@ -40,6 +40,7 @@ import (
"github.com/SigNoz/signoz/pkg/modules/tag/impltag"
"github.com/SigNoz/signoz/pkg/modules/user/impluser"
"github.com/SigNoz/signoz/pkg/prometheus"
"github.com/SigNoz/signoz/pkg/prometheus/clickhouseprometheusv2"
"github.com/SigNoz/signoz/pkg/querier"
"github.com/SigNoz/signoz/pkg/queryparser"
"github.com/SigNoz/signoz/pkg/ruler"
@@ -48,18 +49,16 @@ import (
"github.com/SigNoz/signoz/pkg/sqlmigrator"
"github.com/SigNoz/signoz/pkg/sqlschema"
"github.com/SigNoz/signoz/pkg/sqlstore"
"github.com/SigNoz/signoz/pkg/statementbuilder/aistatementbuilder"
"github.com/SigNoz/signoz/pkg/statementbuilder/auditstatementbuilder"
"github.com/SigNoz/signoz/pkg/statementbuilder/logsstatementbuilder"
"github.com/SigNoz/signoz/pkg/statementbuilder/meterstatementbuilder"
"github.com/SigNoz/signoz/pkg/statementbuilder/metricsstatementbuilder"
"github.com/SigNoz/signoz/pkg/statementbuilder/tracesstatementbuilder"
"github.com/SigNoz/signoz/pkg/statsreporter"
"github.com/SigNoz/signoz/pkg/telemetryaudit"
"github.com/SigNoz/signoz/pkg/telemetrylogs"
"github.com/SigNoz/signoz/pkg/telemetrymetadata"
"github.com/SigNoz/signoz/pkg/telemetrymeter"
"github.com/SigNoz/signoz/pkg/telemetrymetrics"
"github.com/SigNoz/signoz/pkg/telemetrystore"
"github.com/SigNoz/signoz/pkg/telemetrytraces"
pkgtokenizer "github.com/SigNoz/signoz/pkg/tokenizer"
"github.com/SigNoz/signoz/pkg/types/authtypes"
qbtypes "github.com/SigNoz/signoz/pkg/types/querybuildertypes/querybuildertypesv5"
"github.com/SigNoz/signoz/pkg/types/telemetrytypes"
"github.com/SigNoz/signoz/pkg/version"
"github.com/SigNoz/signoz/pkg/zeus"
@@ -98,67 +97,6 @@ type SigNoz struct {
MeterReporter meterreporter.Reporter
}
// newQueryStack assembles the query stack once and returns, in order: the shared
// telemetry metadata store (reused elsewhere in signoz.New), the per-signal
// statement builders (trace, ai-trace, log, audit, metric, meter, trace-operator),
// and the bucket cache. It is the only place that imports the concrete
// statement-builder sub-packages.
func newQueryStack(
ctx context.Context,
settings factory.ProviderSettings,
config Config,
telemetryStore telemetrystore.TelemetryStore,
cache cache.Cache,
fl flagger.Flagger,
) (
telemetrytypes.MetadataStore,
qbtypes.StatementBuilder[qbtypes.TraceAggregation],
qbtypes.StatementBuilder[qbtypes.TraceAggregation],
qbtypes.StatementBuilder[qbtypes.LogAggregation],
qbtypes.StatementBuilder[qbtypes.LogAggregation],
qbtypes.StatementBuilder[qbtypes.MetricAggregation],
qbtypes.StatementBuilder[qbtypes.MetricAggregation],
qbtypes.TraceOperatorStatementBuilder,
querier.BucketCache,
error,
) {
metadataStore := telemetrymetadata.NewTelemetryMetaStore(settings, telemetryStore, fl)
cfg := config.StatementBuilder
traceStmtBuilder, err := tracesstatementbuilder.NewFactory(telemetryStore, metadataStore, fl).New(ctx, settings, cfg)
if err != nil {
return nil, nil, nil, nil, nil, nil, nil, nil, nil, err
}
aiTraceStmtBuilder, err := aistatementbuilder.NewFactory(telemetryStore, metadataStore, fl).New(ctx, settings, cfg)
if err != nil {
return nil, nil, nil, nil, nil, nil, nil, nil, nil, err
}
traceOperatorStmtBuilder, err := tracesstatementbuilder.NewOperatorFactory(telemetryStore, metadataStore, fl).New(ctx, settings, cfg)
if err != nil {
return nil, nil, nil, nil, nil, nil, nil, nil, nil, err
}
logStmtBuilder, err := logsstatementbuilder.NewFactory(telemetryStore, metadataStore, fl).New(ctx, settings, cfg)
if err != nil {
return nil, nil, nil, nil, nil, nil, nil, nil, nil, err
}
auditStmtBuilder, err := auditstatementbuilder.NewFactory(metadataStore, fl).New(ctx, settings, cfg)
if err != nil {
return nil, nil, nil, nil, nil, nil, nil, nil, nil, err
}
metricStmtBuilder, err := metricsstatementbuilder.NewFactory(metadataStore, fl).New(ctx, settings, cfg)
if err != nil {
return nil, nil, nil, nil, nil, nil, nil, nil, nil, err
}
meterStmtBuilder, err := meterstatementbuilder.NewFactory(metadataStore, fl).New(ctx, settings, cfg)
if err != nil {
return nil, nil, nil, nil, nil, nil, nil, nil, nil, err
}
bucketCache := querier.NewBucketCache(settings, cache, config.Querier.CacheTTL, config.Querier.FluxInterval)
return metadataStore, traceStmtBuilder, aiTraceStmtBuilder, logStmtBuilder, auditStmtBuilder, metricStmtBuilder, meterStmtBuilder, traceOperatorStmtBuilder, bucketCache, nil
}
func New(
ctx context.Context,
config Config,
@@ -305,6 +243,11 @@ func New(
retentionGetter := implretention.NewGetter(implretention.NewStore(sqlstore))
// promV2 is the clickhousev2 provider handed to the querier for shadow
// comparison and pinned serving (declared before the serving provider,
// whose variable shadows the package name below).
var promV2 *clickhouseprometheusv2.Provider
// Initialize prometheus from the available prometheus provider factories
prometheus, err := factory.NewProviderFromNamedMap(
ctx,
@@ -317,11 +260,21 @@ func New(
return nil, err
}
// Assemble the query stack (metadata store, statement builders, bucket cache) once,
// and reuse the single metadata store everywhere downstream.
telemetryMetadataStore, traceStmtBuilder, aiTraceStmtBuilder, logStmtBuilder, auditStmtBuilder, metricStmtBuilder, meterStmtBuilder, traceOperatorStmtBuilder, bucketCache, err := newQueryStack(ctx, providerSettings, config, telemetrystore, cache, flagger)
if err != nil {
return nil, err
// With the default provider, also stand up the clickhousev2 provider for
// the querier: PromQL queries shadow-compare against it behind the
// use_prometheus_clickhouse_v2 flag (see pkg/querier/promql_shadow.go).
// It never serves by default. An explicit
// prometheus::provider: clickhousev2 makes v2 the serving provider
// outright, so there is nothing to compare against.
if config.Prometheus.Provider() == "clickhouse" {
v2Config := config.Prometheus
// The v2 engine only evaluates shadow and pinned queries; disable its
// active query tracker so two trackers never share a file.
v2Config.ActiveQueryTrackerConfig.Enabled = false
promV2, err = clickhouseprometheusv2.New(ctx, providerSettings, v2Config, telemetrystore)
if err != nil {
return nil, err
}
}
// Initialize querier from the available querier provider factories
@@ -329,7 +282,7 @@ func New(
ctx,
providerSettings,
config.Querier,
NewQuerierProviderFactories(telemetrystore, prometheus, telemetryMetadataStore, traceStmtBuilder, aiTraceStmtBuilder, logStmtBuilder, auditStmtBuilder, metricStmtBuilder, meterStmtBuilder, traceOperatorStmtBuilder, bucketCache, flagger),
NewQuerierProviderFactories(telemetrystore, prometheus, promV2, cache, flagger),
config.Querier.Provider(),
)
if err != nil {
@@ -497,6 +450,35 @@ func New(
return nil, err
}
// Initialize telemetry metadata store
// TODO: consolidate other telemetrymetadata.NewTelemetryMetaStore initializations to reuse this instance instead.
telemetryMetadataStore := telemetrymetadata.NewTelemetryMetaStore(
providerSettings,
telemetrystore,
telemetrytraces.DBName,
telemetrytraces.TagAttributesV2TableName,
telemetrytraces.SpanAttributesKeysTblName,
telemetrytraces.SpanIndexV3TableName,
telemetrymetrics.DBName,
telemetrymetrics.AttributesMetadataTableName,
telemetrymeter.DBName,
telemetrymeter.SamplesAgg1dTableName,
telemetrylogs.DBName,
telemetrylogs.LogsV2TableName,
telemetrylogs.TagAttributesV2TableName,
telemetrylogs.LogAttributeKeysTblName,
telemetrylogs.LogResourceKeysTblName,
telemetryaudit.DBName,
telemetryaudit.AuditLogsTableName,
telemetryaudit.TagAttributesTableName,
telemetryaudit.LogAttributeKeysTblName,
telemetryaudit.LogResourceKeysTblName,
telemetrymetadata.DBName,
telemetrymetadata.AttributesMetadataTableName,
telemetrymetadata.ColumnEvolutionMetadataTableName,
flagger,
)
global, err := factory.NewProviderFromNamedMap(
ctx,
providerSettings,

View File

@@ -1,159 +0,0 @@
package sqlmigration
import (
"context"
"log/slog"
"github.com/SigNoz/signoz/pkg/factory"
"github.com/SigNoz/signoz/pkg/sqlstore"
"github.com/SigNoz/signoz/pkg/types"
"github.com/SigNoz/signoz/pkg/types/dashboardtypes"
qb "github.com/SigNoz/signoz/pkg/types/querybuildertypes/querybuildertypesv5"
"github.com/SigNoz/signoz/pkg/types/telemetrytypes"
"github.com/SigNoz/signoz/pkg/valuer"
"github.com/uptrace/bun"
"github.com/uptrace/bun/migrate"
)
// meterMetricNames are the SigNoz meter metrics; a metrics query aggregating one is a
// meter query.
var meterMetricNames = map[string]bool{
"signoz.meter.log.count": true,
"signoz.meter.log.size": true,
"signoz.meter.span.count": true,
"signoz.meter.span.size": true,
"signoz.meter.metric.datapoint.count": true,
"signoz.meter.platform.active": true,
}
type fillDashboardMeterSource struct {
sqlstore sqlstore.SQLStore
dashboardStore dashboardtypes.Store
settings factory.ProviderSettings
}
func NewFillDashboardMeterSourceFactory(sqlstore sqlstore.SQLStore, dashboardStore dashboardtypes.Store) factory.ProviderFactory[SQLMigration, Config] {
return factory.NewProviderFactory(
factory.MustNewName("fill_dashboard_meter_source"),
func(ctx context.Context, ps factory.ProviderSettings, c Config) (SQLMigration, error) {
return &fillDashboardMeterSource{sqlstore: sqlstore, dashboardStore: dashboardStore, settings: ps}, nil
},
)
}
func (migration *fillDashboardMeterSource) Register(migrations *migrate.Migrations) error {
return migrations.Register(migration.Up, migration.Down)
}
// Up resets the meter source that 103 dropped when converting v1 meter queries to v2:
// every metrics query aggregating a meter metric is set back to source "meter". One
// transaction; v1 (unparseable-as-v2) dashboards are skipped.
func (migration *fillDashboardMeterSource) Up(ctx context.Context, _ *bun.DB) error {
return migration.sqlstore.RunInTxCtx(ctx, nil, func(ctx context.Context) error {
var orgIDs []string
if err := migration.sqlstore.BunDBCtx(ctx).NewSelect().Model((*types.Organization)(nil)).Column("id").Scan(ctx, &orgIDs); err != nil {
return err
}
for _, id := range orgIDs {
orgID, err := valuer.NewUUID(id)
if err != nil {
return err
}
if err := migration.fillOrg(ctx, orgID); err != nil {
return err
}
}
return nil
})
}
// fillOrg fills the meter source on every v2 dashboard in the org that needs it. Runs
// inside the caller's transaction.
func (migration *fillDashboardMeterSource) fillOrg(ctx context.Context, orgID valuer.UUID) error {
// List, not ListV2: ListV2 paginates and excludes system dashboards; a migration needs every row.
storables, err := migration.dashboardStore.List(ctx, orgID)
if err != nil {
return err
}
logger := migration.settings.Logger
var stillInV1, skippedNoMeter, wouldMigrateButErrored, migrated int
for _, storable := range storables {
// ToDashboardV2 rejects non-v2 data, so v1 dashboards fall through untouched.
dashboard, err := storable.ToDashboardV2(nil)
if err != nil {
stillInV1++
continue
}
if !fillMeterSource(&dashboard.Spec) {
skippedNoMeter++
continue
}
restorable, err := dashboard.ToStorableDashboard()
if err != nil {
wouldMigrateButErrored++
logger.WarnContext(ctx, "failed to re-serialize dashboard after filling meter source", slog.String("org_id", orgID.String()), slog.String("dashboard_id", storable.ID.String()), slog.Any("error", err))
continue
}
if err := migration.dashboardStore.Update(ctx, orgID, restorable); err != nil {
return err
}
migrated++
}
logger.InfoContext(ctx, "filled meter source on v2 dashboards",
slog.String("org_id", orgID.String()),
slog.Int("total", len(storables)),
slog.Int("still_in_v1", stillInV1),
slog.Int("skipped_no_meter", skippedNoMeter),
slog.Int("would_migrate_but_errored", wouldMigrateButErrored),
slog.Int("migrated", migrated),
)
return nil
}
// fillMeterSource sets Source=meter on every metrics builder query in the spec whose
// aggregation targets a meter metric, reporting whether anything changed.
func fillMeterSource(spec *dashboardtypes.DashboardSpec) bool {
changed := false
for _, panel := range spec.Panels {
if panel == nil {
continue
}
for _, query := range panel.Spec.Queries {
switch plugin := query.Spec.Plugin.Spec.(type) {
case *qb.CompositeQuery:
for i := range plugin.Queries {
changed = setMeterSource(&plugin.Queries[i].Spec) || changed
}
case *dashboardtypes.BuilderQuerySpec:
changed = setMeterSource(&plugin.Spec) || changed
}
}
}
return changed
}
// setMeterSource sets source "meter" on a metrics query aggregating a meter metric. The
// type assertion doubles as the metrics-signal check; the already-meter guard keeps it
// idempotent. Written back through the pointer, as an interface value isn't addressable.
func setMeterSource(spec *any) bool {
query, ok := (*spec).(qb.QueryBuilderQuery[qb.MetricAggregation])
if !ok || query.Source == telemetrytypes.SourceMeter {
return false
}
for _, aggregation := range query.Aggregations {
if meterMetricNames[aggregation.MetricName] {
query.Source = telemetrytypes.SourceMeter
*spec = query
return true
}
}
return false
}
func (migration *fillDashboardMeterSource) Down(context.Context, *bun.DB) error {
return nil
}

View File

@@ -1,84 +0,0 @@
package aistatementbuilder
import (
"strings"
"github.com/SigNoz/signoz/pkg/factory"
"github.com/SigNoz/signoz/pkg/flagger"
"github.com/SigNoz/signoz/pkg/statementbuilder"
scopedtraces "github.com/SigNoz/signoz/pkg/statementbuilder/scopedtracesstatementbuilder"
"github.com/SigNoz/signoz/pkg/telemetrystore"
qbtypes "github.com/SigNoz/signoz/pkg/types/querybuildertypes/querybuildertypesv5"
"github.com/SigNoz/signoz/pkg/types/telemetrytypes"
)
// NewFactory returns a provider factory for the AI trace statement builder
// (builder_ai_query): the gen_ai Scope paired with the domain-neutral scoped-trace
// topology, which owns the query construction.
//
// The gen_ai gate/column keys are surfaced by the metadata store itself
// (enrichWithGenAIKeys), so queries work before any gen_ai metadata is ingested.
func NewFactory(
telemetryStore telemetrystore.TelemetryStore,
metadataStore telemetrytypes.MetadataStore,
fl flagger.Flagger,
) factory.ProviderFactory[qbtypes.StatementBuilder[qbtypes.TraceAggregation], statementbuilder.Config] {
return scopedtraces.NewFactory(factory.MustNewName("ai"), Scope(), telemetryStore, metadataStore, fl)
}
// Scope describes gen_ai for the scoped trace builder: an AI trace has >=1 gen_ai
// LLM, tool, or agent span, and its list adds AI/LLM per-trace metrics on top of the
// common columns. This package holds only gen_ai domain knowledge; the query
// topology lives in scopedtracesstatementbuilder.
func Scope() scopedtraces.TraceScope {
gateKeyNames := []string{telemetrytypes.GenAIRequestModel, telemetrytypes.GenAIToolName, telemetrytypes.GenAIAgentName}
gateExprs := make([]string, 0, len(gateKeyNames))
gateKeys := make([]*telemetrytypes.TelemetryFieldKey, 0, len(gateKeyNames))
for _, name := range gateKeyNames {
gateExprs = append(gateExprs, name+" EXISTS")
gateKeys = append(gateKeys, &telemetrytypes.TelemetryFieldKey{
Name: name,
Signal: telemetrytypes.SignalTraces,
FieldContext: telemetrytypes.FieldContextAttribute,
})
}
defs := telemetrytypes.GenAIFieldDefinitions
reqModel := defs[telemetrytypes.GenAIRequestModel]
toolName := defs[telemetrytypes.GenAIToolName]
inTok := defs[telemetrytypes.GenAIUsageInputTokens]
outTok := defs[telemetrytypes.GenAIUsageOutputTokens]
cost := defs[telemetrytypes.SignozGenAITotalCost]
inMsg := defs[telemetrytypes.GenAIInputMessages]
outMsg := defs[telemetrytypes.GenAIOutputMessages]
str := telemetrytypes.FieldDataTypeString
columns := append(scopedtraces.CommonTraceColumns(),
// LLM calls only (request model present), not the full gate.
scopedtraces.TraceColumn{Alias: "llm_call_count", Orderable: true, Expr: scopedtraces.CountExists(&reqModel)},
scopedtraces.TraceColumn{Alias: "tool_call_count", Orderable: true, Expr: scopedtraces.CountExists(&toolName)},
scopedtraces.TraceColumn{Alias: "distinct_tool_count", Orderable: true, Expr: scopedtraces.UniqCount(&toolName, str)},
// tokens live only on LLM spans, so a plain sum needs no gate scoping.
scopedtraces.TraceColumn{Alias: "input_tokens", Orderable: true, Expr: scopedtraces.Reduce(scopedtraces.AggSum, &inTok)},
scopedtraces.TraceColumn{Alias: "output_tokens", Orderable: true, Expr: scopedtraces.Reduce(scopedtraces.AggSum, &outTok)},
scopedtraces.TraceColumn{Alias: "total_tokens", Orderable: true, Expr: scopedtraces.SumOfKeys(telemetrytypes.FieldDataTypeFloat64, &inTok, &outTok)},
// per-span cost attached by the SigNoz LLM pricing processor.
scopedtraces.TraceColumn{Alias: "estimated_total_cost", Orderable: true, Expr: scopedtraces.Reduce(scopedtraces.AggSum, &cost)},
// slowest single LLM call in the trace.
scopedtraces.TraceColumn{Alias: "max_llm_duration_nano", Orderable: true, Expr: scopedtraces.ScopedToKeyColumn(scopedtraces.AggMax, scopedtraces.IntrinsicSpanKey("duration_nano"), &reqModel)},
// errors across the whole trace (any span), so display-only.
scopedtraces.TraceColumn{Alias: "error_count", Expr: scopedtraces.CondCount(scopedtraces.IntrinsicSpanKey("has_error"), qbtypes.FilterOperatorEqual, true)},
// timestamp of the last gen_ai span (LLM/tool/agent), hence gate-scoped.
scopedtraces.TraceColumn{Alias: "last_activity_time", Orderable: true, Expr: scopedtraces.ScopedReduce(scopedtraces.AggMax, scopedtraces.IntrinsicSpanKey("timestamp"))},
// previews: first call's input (the prompt), last call's output (the answer).
scopedtraces.TraceColumn{Alias: "input", SpanLevel: true, Expr: scopedtraces.PickBy(&inMsg, str, scopedtraces.IntrinsicSpanKey("timestamp"), scopedtraces.PickEarliest)},
scopedtraces.TraceColumn{Alias: "output", SpanLevel: true, Expr: scopedtraces.PickBy(&outMsg, str, scopedtraces.IntrinsicSpanKey("timestamp"), scopedtraces.PickLatest)},
)
return scopedtraces.TraceScope{
FilterExpression: strings.Join(gateExprs, " OR "),
FieldKeys: gateKeys,
Columns: columns,
DefaultOrderAlias: "last_activity_time",
}
}

View File

@@ -1,41 +0,0 @@
package statementbuilder
import (
"github.com/SigNoz/signoz/pkg/errors"
"github.com/SigNoz/signoz/pkg/factory"
)
// SkipResourceFingerprint configures when the resource fingerprint subquery is skipped in favor of main-table filtering.
type SkipResourceFingerprint struct {
Enabled bool `yaml:"enabled" mapstructure:"enabled"`
// If count of fingerprint is above threshold, skip the fingerprint subquery and filter on main table instead.
Threshold uint64 `yaml:"threshold" mapstructure:"threshold"`
}
// Config represents the configuration for the statement builders.
type Config struct {
// SkipResourceFingerprint configures when the resource fingerprint subquery is skipped in favor of main-table filtering.
SkipResourceFingerprint SkipResourceFingerprint `yaml:"skip_resource_fingerprint" mapstructure:"skip_resource_fingerprint"`
}
// NewConfigFactory creates a new config factory for the statement builders.
func NewConfigFactory() factory.ConfigFactory {
return factory.NewConfigFactory(factory.MustNewName("statementbuilder"), newConfig)
}
func newConfig() factory.Config {
return Config{
SkipResourceFingerprint: SkipResourceFingerprint{
Enabled: false,
Threshold: 100000,
},
}
}
// Validate validates the configuration.
func (c Config) Validate() error {
if c.SkipResourceFingerprint.Enabled && c.SkipResourceFingerprint.Threshold == 0 {
return errors.NewInvalidInputf(errors.CodeInvalidInput, "skip_resource_fingerprint.threshold must be > 0 when enabled")
}
return nil
}

View File

@@ -1,208 +0,0 @@
package scopedtracesstatementbuilder
import (
"context"
"fmt"
"strings"
qbtypes "github.com/SigNoz/signoz/pkg/types/querybuildertypes/querybuildertypesv5"
"github.com/SigNoz/signoz/pkg/types/telemetrytypes"
"github.com/SigNoz/signoz/pkg/valuer"
)
// This file holds the Aggregate constructors a TraceScope's columns are declared
// with. All SQL rendering goes through the fieldMapper.
// Aggregate renders one column's SQL through the fieldMapper and lists the attribute
// keys it references so the builder can pre-fetch their metadata. Build one with the
// constructors below; the zero value is not usable.
type Aggregate struct {
keys []*telemetrytypes.TelemetryFieldKey
render func(ctx context.Context, orgID valuer.UUID, startNs, endNs uint64, m *fieldMapper) (expr string, args []any, err error)
}
// IntrinsicSpanKey references an intrinsic span-index field (timestamp, name, …) by
// its canonical name; the field mapper resolves it to the physical column.
func IntrinsicSpanKey(name string) *telemetrytypes.TelemetryFieldKey {
return &telemetrytypes.TelemetryFieldKey{
Name: name,
Signal: telemetrytypes.SignalTraces,
FieldContext: telemetrytypes.FieldContextSpan,
}
}
// AggFunc is a ClickHouse aggregate function name.
type AggFunc string
const (
AggSum AggFunc = "sum"
AggMax AggFunc = "max"
AggMin AggFunc = "min"
)
// PickDirection selects the earliest (argMin) or latest (argMax) span by ordering.
type PickDirection int
const (
PickLatest PickDirection = iota
PickEarliest
)
// CountAll renders count().
func CountAll() Aggregate {
return Aggregate{render: func(context.Context, valuer.UUID, uint64, uint64, *fieldMapper) (string, []any, error) {
return "count()", nil, nil
}}
}
// FieldReduce renders <fn>(<field>) over a field-mapper-resolved column.
func FieldReduce(fn AggFunc, key *telemetrytypes.TelemetryFieldKey) Aggregate {
return Aggregate{render: func(ctx context.Context, orgID valuer.UUID, startNs, endNs uint64, m *fieldMapper) (string, []any, error) {
f, err := m.FieldFor(ctx, orgID, startNs, endNs, key)
if err != nil {
return "", nil, err
}
return fmt.Sprintf("%s(%s)", fn, f), nil, nil
}}
}
// TraceDuration renders the full-trace wall duration: last span end minus first
// span start.
func TraceDuration(tsKey, durationKey *telemetrytypes.TelemetryFieldKey) Aggregate {
return Aggregate{render: func(ctx context.Context, orgID valuer.UUID, startNs, endNs uint64, m *fieldMapper) (string, []any, error) {
ts, err := m.FieldFor(ctx, orgID, startNs, endNs, tsKey)
if err != nil {
return "", nil, err
}
dur, err := m.FieldFor(ctx, orgID, startNs, endNs, durationKey)
if err != nil {
return "", nil, err
}
return fmt.Sprintf("(max(toUnixTimestamp64Nano(%s) + %s) - min(toUnixTimestamp64Nano(%s)))", ts, dur, ts), nil, nil
}}
}
// FieldAnyWhere renders anyIf(<field>, <cond>) — the field value from any span
// matching the condition.
func FieldAnyWhere(valueKey, condKey *telemetrytypes.TelemetryFieldKey, op qbtypes.FilterOperator, condValue any) Aggregate {
return Aggregate{render: func(ctx context.Context, orgID valuer.UUID, startNs, endNs uint64, m *fieldMapper) (string, []any, error) {
v, err := m.FieldFor(ctx, orgID, startNs, endNs, valueKey)
if err != nil {
return "", nil, err
}
cond, args, err := m.ConditionFor(ctx, orgID, startNs, endNs, condKey, op, condValue)
return fmt.Sprintf("anyIf(%s, %s)", v, cond), args, err
}}
}
// AnyValue renders any(<value>) over a metadata-resolved attribute value.
func AnyValue(key *telemetrytypes.TelemetryFieldKey, dt telemetrytypes.FieldDataType) Aggregate {
return Aggregate{keys: keysOf(key), render: func(ctx context.Context, orgID valuer.UUID, startNs, endNs uint64, m *fieldMapper) (string, []any, error) {
v, args, err := m.ValueFor(ctx, orgID, startNs, endNs, key, dt)
return fmt.Sprintf("any(%s)", v), args, err
}}
}
// CountExists renders countIf(<key> EXISTS) — counts spans carrying key.
func CountExists(key *telemetrytypes.TelemetryFieldKey) Aggregate {
return Aggregate{keys: keysOf(key), render: func(ctx context.Context, orgID valuer.UUID, startNs, endNs uint64, m *fieldMapper) (string, []any, error) {
cond, args, err := m.ExistsFor(ctx, orgID, startNs, endNs, key)
return fmt.Sprintf("countIf(%s)", cond), args, err
}}
}
// CondCount renders countIf(<cond>) over a condition-builder-resolved predicate.
func CondCount(key *telemetrytypes.TelemetryFieldKey, op qbtypes.FilterOperator, value any) Aggregate {
return Aggregate{render: func(ctx context.Context, orgID valuer.UUID, startNs, endNs uint64, m *fieldMapper) (string, []any, error) {
cond, args, err := m.ConditionFor(ctx, orgID, startNs, endNs, key, op, value)
return fmt.Sprintf("countIf(%s)", cond), args, err
}}
}
// Reduce renders <fn>(<value>) over a resolved numeric attribute value.
func Reduce(fn AggFunc, valueKey *telemetrytypes.TelemetryFieldKey) Aggregate {
return Aggregate{keys: keysOf(valueKey), render: func(ctx context.Context, orgID valuer.UUID, startNs, endNs uint64, m *fieldMapper) (string, []any, error) {
v, args, err := m.ValueFor(ctx, orgID, startNs, endNs, valueKey, telemetrytypes.FieldDataTypeFloat64)
return fmt.Sprintf("%s(%s)", fn, v), args, err
}}
}
// ScopedReduce renders <fn>If(<field>, <gate mask>) over a field-mapper-resolved column.
func ScopedReduce(fn AggFunc, key *telemetrytypes.TelemetryFieldKey) Aggregate {
return Aggregate{render: func(ctx context.Context, orgID valuer.UUID, startNs, endNs uint64, m *fieldMapper) (string, []any, error) {
f, err := m.FieldFor(ctx, orgID, startNs, endNs, key)
if err != nil {
return "", nil, err
}
return fmt.Sprintf("%sIf(%s, %s)", fn, f, m.maskExpr), append([]any{}, m.maskArgs...), nil
}}
}
// ScopedToKeyColumn renders <fn>If(<field>, <scopeKey> EXISTS) — a span-index field
// aggregated over spans carrying scopeKey (e.g. max LLM latency).
func ScopedToKeyColumn(fn AggFunc, columnKey, scopeKey *telemetrytypes.TelemetryFieldKey) Aggregate {
return Aggregate{keys: keysOf(scopeKey), render: func(ctx context.Context, orgID valuer.UUID, startNs, endNs uint64, m *fieldMapper) (string, []any, error) {
col, err := m.FieldFor(ctx, orgID, startNs, endNs, columnKey)
if err != nil {
return "", nil, err
}
cond, args, err := m.ExistsFor(ctx, orgID, startNs, endNs, scopeKey)
return fmt.Sprintf("%sIf(%s, %s)", fn, col, cond), args, err
}}
}
// PickBy renders argMinIf/argMaxIf(<value>, <orderField>, <value> EXISTS) — the value
// from the earliest/latest span that carries it.
func PickBy(valueKey *telemetrytypes.TelemetryFieldKey, dt telemetrytypes.FieldDataType, orderKey *telemetrytypes.TelemetryFieldKey, dir PickDirection) Aggregate {
fn := "argMaxIf"
if dir == PickEarliest {
fn = "argMinIf"
}
return Aggregate{keys: keysOf(valueKey), render: func(ctx context.Context, orgID valuer.UUID, startNs, endNs uint64, m *fieldMapper) (string, []any, error) {
v, vargs, err := m.ValueFor(ctx, orgID, startNs, endNs, valueKey, dt)
if err != nil {
return "", nil, err
}
order, err := m.FieldFor(ctx, orgID, startNs, endNs, orderKey)
if err != nil {
return "", nil, err
}
cond, cargs, err := m.ExistsFor(ctx, orgID, startNs, endNs, valueKey)
return fmt.Sprintf("%s(%s, %s, %s)", fn, v, order, cond), append(vargs, cargs...), err
}}
}
// UniqCount renders uniqIf(<value>, <value> EXISTS) — distinct count of an attribute.
func UniqCount(valueKey *telemetrytypes.TelemetryFieldKey, dt telemetrytypes.FieldDataType) Aggregate {
return Aggregate{keys: keysOf(valueKey), render: func(ctx context.Context, orgID valuer.UUID, startNs, endNs uint64, m *fieldMapper) (string, []any, error) {
v, vargs, err := m.ValueFor(ctx, orgID, startNs, endNs, valueKey, dt)
if err != nil {
return "", nil, err
}
cond, cargs, err := m.ExistsFor(ctx, orgID, startNs, endNs, valueKey)
return fmt.Sprintf("uniqIf(%s, %s)", v, cond), append(vargs, cargs...), err
}}
}
// SumOfKeys renders coalesce(sum(<v1>), 0) + coalesce(sum(<v2>), 0) + … over several
// numeric attributes. Coalesced because a key absent from every span sums to NULL and
// NULL + n = NULL — a trace with only output tokens would otherwise total NULL.
func SumOfKeys(dt telemetrytypes.FieldDataType, valueKeys ...*telemetrytypes.TelemetryFieldKey) Aggregate {
return Aggregate{keys: valueKeys, render: func(ctx context.Context, orgID valuer.UUID, startNs, endNs uint64, m *fieldMapper) (string, []any, error) {
parts := make([]string, 0, len(valueKeys))
var args []any
for _, k := range valueKeys {
v, vargs, err := m.ValueFor(ctx, orgID, startNs, endNs, k, dt)
if err != nil {
return "", nil, err
}
parts = append(parts, fmt.Sprintf("coalesce(sum(%s), 0)", v))
args = append(args, vargs...)
}
return strings.Join(parts, " + "), args, nil
}}
}
func keysOf(k *telemetrytypes.TelemetryFieldKey) []*telemetrytypes.TelemetryFieldKey {
return []*telemetrytypes.TelemetryFieldKey{k}
}

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@@ -1,82 +0,0 @@
package scopedtracesstatementbuilder
import (
"context"
"strings"
qbtypes "github.com/SigNoz/signoz/pkg/types/querybuildertypes/querybuildertypesv5"
"github.com/SigNoz/signoz/pkg/types/telemetrytypes"
"github.com/SigNoz/signoz/pkg/valuer"
"github.com/huandu/go-sqlbuilder"
)
// fieldMapper resolves aggregate-column SQL through the shared field mapper and
// condition builder, following their method shapes (FieldFor / ConditionFor / …) so
// column resolution reads like the other statement builders. keys is the fetched
// metadata for the keys the columns reference; the gate mask is set by the builder
// after resolveMask (Scoped* aggregates embed it). All returned expressions are
// escaped once, ready to embed in an outer builder.
type fieldMapper struct {
fm qbtypes.FieldMapper
cb qbtypes.ConditionBuilder
keys map[string][]*telemetrytypes.TelemetryFieldKey
maskExpr string
maskArgs []any
}
func newFieldMapper(fm qbtypes.FieldMapper, cb qbtypes.ConditionBuilder, keys map[string][]*telemetrytypes.TelemetryFieldKey) *fieldMapper {
return &fieldMapper{fm: fm, cb: cb, keys: keys}
}
// FieldFor returns the column expression for key via the field mapper.
func (r *fieldMapper) FieldFor(ctx context.Context, orgID valuer.UUID, startNs, endNs uint64, key *telemetrytypes.TelemetryFieldKey) (string, error) {
return r.fm.FieldFor(ctx, orgID, startNs, endNs, key)
}
// ConditionFor returns a boolean predicate for key via the condition builder
// (materialized column when present, else map access).
func (r *fieldMapper) ConditionFor(ctx context.Context, orgID valuer.UUID, startNs, endNs uint64, key *telemetrytypes.TelemetryFieldKey, op qbtypes.FilterOperator, value any) (string, []any, error) {
sb := sqlbuilder.NewSelectBuilder()
// The condition builder owns key resolution: hand it the raw key plus the full
// metadata map and it matches/synthesizes the candidates itself.
conds, _, err := r.cb.ConditionFor(ctx, orgID, startNs, endNs, key, r.keys, qbtypes.ConditionBuilderOptions{}, op, value, sb)
if err != nil {
return "", nil, err
}
if len(conds) == 0 {
return "", nil, nil
}
// One condition per candidate variant (a key can be ingested under several data
// types); OR them all, like the visitor does for EXISTS.
if len(conds) == 1 {
sb.Where(conds[0])
} else {
sb.Where(sb.Or(conds...))
}
expr, args := sb.BuildWithFlavor(sqlbuilder.ClickHouse)
expr = strings.TrimPrefix(expr, "WHERE ")
return sqlbuilder.Escape(expr), args, nil
}
// ExistsFor returns the EXISTS predicate for key.
func (r *fieldMapper) ExistsFor(ctx context.Context, orgID valuer.UUID, startNs, endNs uint64, key *telemetrytypes.TelemetryFieldKey) (string, []any, error) {
return r.ConditionFor(ctx, orgID, startNs, endNs, key, qbtypes.FilterOperatorExists, nil)
}
// ValueFor returns the value expression for an attribute key.
func (r *fieldMapper) ValueFor(ctx context.Context, orgID valuer.UUID, startNs, endNs uint64, key *telemetrytypes.TelemetryFieldKey, dt telemetrytypes.FieldDataType) (string, []any, error) {
// The scope declares keys statically, so a key like service.name can have evolutions.
// this is added for the evolution.
if cands := r.keys[key.Name]; len(cands) > 0 {
key = cands[0]
}
expr, err := r.fm.ColumnExpressionFor(ctx, orgID, startNs, endNs, key, dt, r.keys)
if err != nil {
return "", nil, err
}
// Escape before embedding in the outer builder: a materialized column name carries
// `$$` (from the dotted attribute name), which go-sqlbuilder's Build would otherwise
// unescape to a single `$` and reference the wrong column.
return sqlbuilder.Escape(expr), nil, nil
}

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@@ -1,66 +0,0 @@
package scopedtracesstatementbuilder
import (
qbtypes "github.com/SigNoz/signoz/pkg/types/querybuildertypes/querybuildertypesv5"
"github.com/SigNoz/signoz/pkg/types/telemetrytypes"
)
// TraceScope is the configuration the scoped trace builder accepts: which spans are
// in scope and which per-trace columns the list computes. It only declares the gate
// and the columns; the builder resolves everything through the field mapper, so
// attribute access stays materialization-aware. A new span category only needs a
// new TraceScope.
type TraceScope struct {
// FilterExpression is the grammar-level (EXISTS) gate, used on the delegated
// span-list path.
FilterExpression string
// FieldKeys are the gate's keys, used to build the per-span mask
// (OR of resolved EXISTS conditions).
FieldKeys []*telemetrytypes.TelemetryFieldKey
// Columns are the per-trace output columns.
Columns []TraceColumn
// DefaultOrderAlias is sorted by (desc) when the query gives no order.
DefaultOrderAlias string
}
// TraceColumn is one per-trace output column.
type TraceColumn struct {
// Alias must not reuse a physical span-index column name (e.g. duration_nano):
// ClickHouse resolves bare identifiers to same-SELECT aliases first, so any
// expression referencing that column would silently bind to the alias.
Alias string
// Orderable columns can be used in ORDER BY and the aggregate filter. All-span
// aggregates (span_count, trace_duration_nano, …) are display-only and set false.
Orderable bool
// SpanLevel columns surface a real span/resource attribute (service.name,
// input/output messages); a filter on them is applied span-level, so they are
// excluded from the trace-level aliases.
SpanLevel bool
Expr Aggregate
}
// CommonTraceColumns are domain-neutral columns any trace list can reuse. All
// aggregate over every span, so none is Orderable.
func CommonTraceColumns() []TraceColumn {
ts := IntrinsicSpanKey("timestamp")
duration := IntrinsicSpanKey("duration_nano")
name := IntrinsicSpanKey("name")
parentSpanID := IntrinsicSpanKey("parent_span_id")
serviceName := &telemetrytypes.TelemetryFieldKey{
Name: "service.name",
Signal: telemetrytypes.SignalTraces,
FieldContext: telemetrytypes.FieldContextResource,
FieldDataType: telemetrytypes.FieldDataTypeString,
}
return []TraceColumn{
{Alias: "start_time", Expr: FieldReduce(AggMin, ts)},
{Alias: "end_time", Expr: FieldReduce(AggMax, ts)},
// Not plain "duration_nano": that name is the intrinsic span field, and an
// alias would shadow it — both in ClickHouse identifier resolution and in
// bare-name filter classification.
{Alias: "trace_duration_nano", Expr: TraceDuration(ts, duration)},
{Alias: "span_count", Expr: CountAll()},
{Alias: "root_span_name", Expr: FieldAnyWhere(name, parentSpanID, qbtypes.FilterOperatorEqual, "")},
{Alias: "service.name", SpanLevel: true, Expr: AnyValue(serviceName, telemetrytypes.FieldDataTypeString)},
}
}

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@@ -1,802 +0,0 @@
package scopedtracesstatementbuilder
import (
"context"
"fmt"
"log/slog"
"sort"
"strings"
"github.com/SigNoz/signoz/pkg/errors"
"github.com/SigNoz/signoz/pkg/factory"
"github.com/SigNoz/signoz/pkg/flagger"
"github.com/SigNoz/signoz/pkg/querybuilder"
"github.com/SigNoz/signoz/pkg/statementbuilder"
"github.com/SigNoz/signoz/pkg/statementbuilder/resourcefilter"
"github.com/SigNoz/signoz/pkg/statementbuilder/tracesstatementbuilder"
"github.com/SigNoz/signoz/pkg/telemetryschema/tracestelemetryschema"
"github.com/SigNoz/signoz/pkg/telemetrystore"
qbtypes "github.com/SigNoz/signoz/pkg/types/querybuildertypes/querybuildertypesv5"
"github.com/SigNoz/signoz/pkg/types/telemetrytypes"
"github.com/SigNoz/signoz/pkg/valuer"
qbvariables "github.com/SigNoz/signoz/pkg/variables"
"github.com/huandu/go-sqlbuilder"
)
var (
ErrUnsupportedRequestType = errors.NewInvalidInputf(errors.CodeInvalidInput, "unsupported request type for the scoped trace builder")
)
// scopedTraceStatementBuilder builds a trace list scoped to one span category
// (e.g. gen_ai spans). The query shape is fixed; the TraceScope decides which spans
// are in scope and which per-trace columns to compute, so a new category only needs
// a new scope.
type scopedTraceStatementBuilder struct {
logger *slog.Logger
metadataStore telemetrytypes.MetadataStore
fm qbtypes.FieldMapper
cb qbtypes.ConditionBuilder
scope TraceScope
traceStmtBuilder qbtypes.StatementBuilder[qbtypes.TraceAggregation]
resourceFilterStmtBuilder qbtypes.StatementBuilder[qbtypes.TraceAggregation]
}
var _ qbtypes.StatementBuilder[qbtypes.TraceAggregation] = (*scopedTraceStatementBuilder)(nil)
// NewFactory returns a provider factory for a scoped trace statement builder. Unlike
// the per-signal factories this package is domain-neutral, so the caller supplies the
// factory name and the TraceScope (see aistatementbuilder for the gen_ai scope). Its
// New delegates the span-list path to a trace statement builder built via the traces
// factory — mirroring how the meter factory builds its own metrics builder.
func NewFactory(
name factory.Name,
scope TraceScope,
telemetryStore telemetrystore.TelemetryStore,
metadataStore telemetrytypes.MetadataStore,
fl flagger.Flagger,
) factory.ProviderFactory[qbtypes.StatementBuilder[qbtypes.TraceAggregation], statementbuilder.Config] {
return factory.NewProviderFactory(
name,
func(ctx context.Context, settings factory.ProviderSettings, cfg statementbuilder.Config) (qbtypes.StatementBuilder[qbtypes.TraceAggregation], error) {
traceStmtBuilder, err := tracesstatementbuilder.NewFactory(telemetryStore, metadataStore, fl).New(ctx, settings, cfg)
if err != nil {
return nil, err
}
return NewScopedTraceStatementBuilder(settings, metadataStore, scope, traceStmtBuilder, fl), nil
},
)
}
// NewScopedTraceStatementBuilder wires the generic trace-list builder. The field
// mapper / condition builder are built here, not injected — the list always scans the
// traces span index. traceStmtBuilder (the delegate for the span-list path) is
// injected because NewFactory already builds the canonical instance.
func NewScopedTraceStatementBuilder(
settings factory.ProviderSettings,
metadataStore telemetrytypes.MetadataStore,
scope TraceScope,
traceStmtBuilder qbtypes.StatementBuilder[qbtypes.TraceAggregation],
fl flagger.Flagger,
) qbtypes.StatementBuilder[qbtypes.TraceAggregation] {
scopedSettings := factory.NewScopedProviderSettings(settings, "github.com/SigNoz/signoz/pkg/statementbuilder/scopedtracesstatementbuilder")
fm := tracestelemetryschema.NewFieldMapper()
cb := tracestelemetryschema.NewConditionBuilder(fm)
// Same resource-fingerprint prune as the standard trace builder — the list scans
// the same span index.
resourceFilterStmtBuilder := resourcefilter.New[qbtypes.TraceAggregation](
settings,
tracestelemetryschema.DBName,
tracestelemetryschema.TracesResourceV3TableName,
telemetrytypes.SignalTraces,
telemetrytypes.SourceUnspecified,
metadataStore,
nil,
fl,
)
return &scopedTraceStatementBuilder{
logger: scopedSettings.Logger(),
metadataStore: metadataStore,
fm: fm,
cb: cb,
scope: scope,
traceStmtBuilder: traceStmtBuilder,
resourceFilterStmtBuilder: resourceFilterStmtBuilder,
}
}
func (b *scopedTraceStatementBuilder) Build(
ctx context.Context,
orgID valuer.UUID,
start uint64,
end uint64,
requestType qbtypes.RequestType,
query qbtypes.QueryBuilderQuery[qbtypes.TraceAggregation],
variables map[string]qbtypes.VariableItem,
) (*qbtypes.Statement, error) {
switch requestType {
case qbtypes.RequestTypeTrace:
return b.buildTraceListQuery(ctx, orgID, querybuilder.ToNanoSecs(start), querybuilder.ToNanoSecs(end), query, variables)
case qbtypes.RequestTypeRaw:
return b.buildDelegated(ctx, orgID, start, end, requestType, query, variables)
default:
return nil, ErrUnsupportedRequestType
}
}
// buildDelegated ANDs the base gate into the user filter and delegates to the
// standard trace builder (the span-list / raw path).
func (b *scopedTraceStatementBuilder) buildDelegated(
ctx context.Context,
orgID valuer.UUID,
start, end uint64,
requestType qbtypes.RequestType,
query qbtypes.QueryBuilderQuery[qbtypes.TraceAggregation],
variables map[string]qbtypes.VariableItem,
) (*qbtypes.Statement, error) {
gate := b.scope.FilterExpression
expr := gate
if query.Filter != nil && strings.TrimSpace(query.Filter.Expression) != "" {
expr = fmt.Sprintf("(%s) AND (%s)", gate, query.Filter.Expression)
}
// shallow copy; only Filter is replaced, caller's query untouched
gated := query
gated.Filter = &qbtypes.Filter{Expression: expr}
return b.traceStmtBuilder.Build(ctx, orgID, start, end, requestType, gated, variables)
}
// buildTraceListQuery wires the CTE pipeline: one windowed pass picks the top-N
// traces, then a bucket-pruned pass enriches only those.
// Helpers appear in this file in the order they run. start/end are nanoseconds.
//
// RESOLVE (keys/columns → SQL via the field mapper)
// fetchKeys metadata for every key we reference
// resolveMask the "span is in scope" predicate (OR of EXISTS)
// resolveColumns per-trace column SQL
// resolveListOrders which columns to ORDER BY
// splitFilter span-level predicate + trace-level HAVING
//
// BUILD
// matched one windowed, mask-pruned GROUP BY trace_id scan fusing gate + span
// │ filter + HAVING + ORDER BY + LIMIT/OFFSET → the top-N trace_ids
// ▼
// ranked [start,end] bounds of those traces, from the small summary table
// ▼
// buckets the ts_bucket_start values they touch, to prune the next scan
// ▼
// enrichment every per-trace column for those traces over their full extent
// (not window-clipped), scanning only their buckets
//
// Only Orderable columns are computable in the mask-pruned matched pass, so only they
// can be ordered or filtered on; all-span columns (span_count, …) are output-only.
func (b *scopedTraceStatementBuilder) buildTraceListQuery(
ctx context.Context,
orgID valuer.UUID,
start, end uint64,
query qbtypes.QueryBuilderQuery[qbtypes.TraceAggregation],
variables map[string]qbtypes.VariableItem,
) (*qbtypes.Statement, error) {
startBucket := start/querybuilder.NsToSeconds - querybuilder.BucketAdjustment
endBucket := end / querybuilder.NsToSeconds
limit := query.Limit
if limit <= 0 {
limit = 100
}
// Resolve keys and columns once; all attribute access goes through the field mapper.
keys, err := b.fetchKeys(ctx, orgID)
if err != nil {
return nil, err
}
mapper := newFieldMapper(b.fm, b.cb, keys)
maskExpr, maskArgs, err := b.resolveMask(ctx, orgID, start, end, mapper)
if err != nil {
return nil, err
}
mapper.maskExpr, mapper.maskArgs = maskExpr, maskArgs
resolved, err := b.resolveColumns(ctx, orgID, start, end, mapper)
if err != nil {
return nil, err
}
orders, err := b.resolveListOrders(query.Order, resolved)
if err != nil {
return nil, err
}
orderableSet := orderableAliasSet(resolved)
// If the filter references resource attributes, add a __resource_filter CTE and
// narrow the matched scan by resource_fingerprint; the span predicate drops those
// keys so they aren't applied twice.
resourceFrag, resourceArgs, resourcePred, err := b.maybeAttachResourceFilter(ctx, orgID, query, start, end, variables)
if err != nil {
return nil, err
}
// Split the user filter: span-level predicate + trace-level HAVING expression.
fp, err := b.splitFilter(ctx, orgID, query, b.aggregateAliasSet(), orderableSet, start, end, variables)
if err != nil {
return nil, err
}
// matched → ranked → buckets → enrichment
matchedFrag, matchedArgs, err := b.buildMatchedCTE(start, end, startBucket, endBucket, resolved, orders, orderableSet, maskExpr, maskArgs, fp, resourcePred, limit, query.Offset)
if err != nil {
return nil, err
}
rankedFrag, rankedArgs := b.buildRankedCTE(start, end)
bucketsFrag := buildBucketsCTE()
mainSQL, mainArgs := b.buildEnrichmentSelect(resolved, orders)
cteFragments := []string{matchedFrag, rankedFrag, bucketsFrag}
cteArgs := [][]any{matchedArgs, rankedArgs, nil}
// __resource_filter must precede `matched`, which references it.
if resourceFrag != "" {
cteFragments = append([]string{resourceFrag}, cteFragments...)
cteArgs = append([][]any{resourceArgs}, cteArgs...)
}
finalSQL := querybuilder.CombineCTEs(cteFragments) + mainSQL + " SETTINGS distributed_product_mode='allow', max_memory_usage=10000000000"
finalArgs := querybuilder.PrependArgs(cteArgs, mainArgs)
return &qbtypes.Statement{
Query: finalSQL,
Args: finalArgs,
Warnings: fp.warnings,
WarningsDocURL: fp.warningsURL,
}, nil
}
// maybeAttachResourceFilter builds the __resource_filter CTE (fingerprints matching
// the filter's resource conditions) and the predicate narrowing the span scan by
// resource_fingerprint; with no resource conditions it returns empty fragments.
//
// Unlike the standard trace builder there is deliberately no skip-fingerprint
// fallback: falling back would leave the resource conditions inside the OR'd
// span-filter bucket, which changes trace membership (any span from the resource +
// any gen_ai span, instead of a gen_ai span from the resource). Resource conditions
// always scope the whole matched scan.
func (b *scopedTraceStatementBuilder) maybeAttachResourceFilter(
ctx context.Context,
orgID valuer.UUID,
query qbtypes.QueryBuilderQuery[qbtypes.TraceAggregation],
start, end uint64,
variables map[string]qbtypes.VariableItem,
) (cteFrag string, cteArgs []any, fingerprintPred string, err error) {
stmt, err := b.resourceFilterStmtBuilder.Build(
ctx, orgID, start, end, qbtypes.RequestTypeRaw, query, variables,
)
if err != nil {
return "", nil, "", err
}
if stmt == nil {
return "", nil, "", nil
}
return fmt.Sprintf("__resource_filter AS (%s)", stmt.Query), stmt.Args,
"resource_fingerprint GLOBAL IN (SELECT fingerprint FROM __resource_filter)", nil
}
// ---------------------------------------------------------------------------
// RESOLVE — turn keys/columns into field-mapper-aware SQL
// ---------------------------------------------------------------------------
func (b *scopedTraceStatementBuilder) fetchKeys(ctx context.Context, orgID valuer.UUID) (map[string][]*telemetrytypes.TelemetryFieldKey, error) {
fields := b.resolverFieldKeys()
selectors := make([]*telemetrytypes.FieldKeySelector, 0, len(fields))
for _, k := range fields {
selectors = append(selectors, &telemetrytypes.FieldKeySelector{
Name: k.Name,
Signal: k.Signal,
FieldContext: k.FieldContext,
SelectorMatchType: telemetrytypes.FieldSelectorMatchTypeExact,
})
}
keys, _, err := b.metadataStore.GetKeysMulti(ctx, orgID, selectors)
return keys, err
}
func (b *scopedTraceStatementBuilder) resolverFieldKeys() []*telemetrytypes.TelemetryFieldKey {
seen := make(map[string]struct{})
var out []*telemetrytypes.TelemetryFieldKey
add := func(k *telemetrytypes.TelemetryFieldKey) {
if k == nil {
return
}
if _, dup := seen[k.Name]; dup {
return
}
seen[k.Name] = struct{}{}
out = append(out, k)
}
for _, k := range b.scope.FieldKeys {
add(k)
}
for _, c := range b.scope.Columns {
for _, k := range c.Expr.keys {
add(k)
}
}
return out
}
// resolveMask builds the per-span in-scope mask: OR of resolved EXISTS predicates
// over the base condition's field keys.
func (b *scopedTraceStatementBuilder) resolveMask(ctx context.Context, orgID valuer.UUID, start, end uint64, mapper *fieldMapper) (string, []any, error) {
fieldKeys := b.scope.FieldKeys
parts := make([]string, 0, len(fieldKeys))
var args []any
for _, key := range fieldKeys {
e, a, err := mapper.ExistsFor(ctx, orgID, start, end, key)
if err != nil {
return "", nil, err
}
parts = append(parts, e)
args = append(args, a...)
}
return "(" + strings.Join(parts, " OR ") + ")", args, nil
}
// resolvedColumn is a column resolved to SQL via the field mapper; expr is escaped
// once, ready to embed in an outer SELECT.
type resolvedColumn struct {
alias string
expr string
args []any
orderable bool
}
// resolveColumns turns the declarative columns into SQL through the resolver, so all
// attribute access goes through the field mapper / condition builder.
func (b *scopedTraceStatementBuilder) resolveColumns(ctx context.Context, orgID valuer.UUID, start, end uint64, mapper *fieldMapper) ([]resolvedColumn, error) {
cols := b.scope.Columns
out := make([]resolvedColumn, 0, len(cols))
for _, c := range cols {
expr, args, err := c.Expr.render(ctx, orgID, start, end, mapper)
if err != nil {
return nil, err
}
out = append(out, resolvedColumn{alias: c.Alias, expr: expr, args: args, orderable: c.Orderable})
}
return out, nil
}
// listOrder is a sort key resolved to a column alias + direction; both the matched
// CTE and the enrichment ORDER BY it.
type listOrder struct {
alias string
direction string
}
// resolveListOrders maps order keys to the resolved orderable columns; non-orderable
// columns are rejected. Defaults to the column provider's default order.
func (b *scopedTraceStatementBuilder) resolveListOrders(order []qbtypes.OrderBy, resolved []resolvedColumn) ([]listOrder, error) {
byAlias := make(map[string]resolvedColumn, len(resolved))
orderable := make([]string, 0, len(resolved))
for _, rc := range resolved {
byAlias[rc.alias] = rc
if rc.orderable {
orderable = append(orderable, rc.alias)
}
}
if len(order) == 0 {
return []listOrder{{alias: b.scope.DefaultOrderAlias, direction: "DESC"}}, nil
}
orders := make([]listOrder, 0, len(order))
for _, o := range order {
direction := "DESC"
if o.Direction == qbtypes.OrderDirectionAsc {
direction = "ASC"
}
rc, ok := byAlias[o.Key.Name]
if !ok || !rc.orderable {
return nil, errors.NewInvalidInputf(errors.CodeInvalidInput,
"unsupported order key %q for the trace list; orderable keys: %s", o.Key.Name, strings.Join(orderable, ", "))
}
orders = append(orders, listOrder{alias: rc.alias, direction: direction})
}
return orders, nil
}
// filterParts is the user filter split into a span-level predicate (widens the
// matched WHERE prune and becomes a countIf existence check in HAVING) and a
// trace-level HAVING expression.
type filterParts struct {
spanPred string
spanArgs []any
hasSpanFilter bool
havingExpr string
warnings []string
warningsURL string
}
// splitFilter splits query.Filter into a span-level predicate and a trace-level
// HAVING expression (an explicit query.Having is ANDed onto the latter), then
// validates the trace-level part against the matched-pass aggregates.
func (b *scopedTraceStatementBuilder) splitFilter(ctx context.Context, orgID valuer.UUID, query qbtypes.QueryBuilderQuery[qbtypes.TraceAggregation], classifySet, orderableSet map[string]struct{}, start, end uint64, variables map[string]qbtypes.VariableItem) (filterParts, error) {
var fp filterParts
if query.Filter != nil && strings.TrimSpace(query.Filter.Expression) != "" {
spanExpr, traceExpr, err := querybuilder.SplitFilterForAggregates(query.Filter.Expression, classifySet)
if err != nil {
return fp, err
}
fp.havingExpr = traceExpr
if strings.TrimSpace(spanExpr) != "" {
pred, args, warnings, url, err := b.resolveSpanPredicate(ctx, orgID, start, end, spanExpr, variables)
if err != nil {
return fp, err
}
// pred is empty when the span-level keys were all resource attributes
// already handled by the __resource_filter CTE.
if strings.TrimSpace(pred) != "" {
fp.spanPred, fp.spanArgs, fp.hasSpanFilter = pred, args, true
}
fp.warnings, fp.warningsURL = warnings, url
}
}
if query.Having != nil && strings.TrimSpace(query.Having.Expression) != "" {
if fp.havingExpr != "" {
fp.havingExpr = fmt.Sprintf("(%s) AND (%s)", fp.havingExpr, query.Having.Expression)
} else {
fp.havingExpr = query.Having.Expression
}
}
// The span predicate binds variables via PrepareWhereClause; the HAVING is a plain
// text rewrite, so substitute variables here (list/IN quoting, __all__ drops the
// condition) before validating.
if strings.TrimSpace(fp.havingExpr) != "" && len(variables) > 0 {
replaced, err := qbvariables.ReplaceVariablesInExpression(fp.havingExpr, variables)
if err != nil {
return fp, err
}
fp.havingExpr = replaced
}
if err := validateAggregateFilter(fp.havingExpr, orderableSet); err != nil {
return fp, err
}
return fp, nil
}
// resolveSpanPredicate resolves a span-level filter expression to a bare boolean
// SQL predicate + args via the field mapper.
func (b *scopedTraceStatementBuilder) resolveSpanPredicate(ctx context.Context, orgID valuer.UUID, start, end uint64, expr string, variables map[string]qbtypes.VariableItem) (string, []any, []string, string, error) {
selectors := querybuilder.QueryStringToKeysSelectors(expr)
for i := range selectors {
selectors[i].Signal = telemetrytypes.SignalTraces
}
keys, _, err := b.metadataStore.GetKeysMulti(ctx, orgID, selectors)
if err != nil {
return "", nil, nil, "", err
}
prepared, err := querybuilder.PrepareWhereClause(expr, querybuilder.FilterExprVisitorOpts{
Context: ctx,
Logger: b.logger,
FieldMapper: b.fm,
ConditionBuilder: b.cb,
FieldKeys: keys,
// resource conditions are always handled by the __resource_filter CTE
SkipResourceFilter: true,
Variables: variables,
StartNs: start,
EndNs: end,
})
if err != nil {
return "", nil, nil, "", err
}
if prepared.IsEmpty() {
return "", nil, nil, "", nil
}
sb := sqlbuilder.NewSelectBuilder()
sb.AddWhereClause(prepared.WhereClause)
sql, args := sb.BuildWithFlavor(sqlbuilder.ClickHouse)
pred := sql[strings.Index(sql, "WHERE ")+len("WHERE "):]
return sqlbuilder.Escape(pred), args, prepared.Warnings, prepared.WarningsDocURL, nil
}
// buildMatchedCTE builds `matched`: the single windowed GROUP BY trace_id scan that
// fuses gate + span filter + HAVING + ORDER BY + LIMIT/OFFSET, selecting only the
// aliases the ORDER BY / HAVING reference.
func (b *scopedTraceStatementBuilder) buildMatchedCTE(start, end, startBucket, endBucket uint64, resolved []resolvedColumn, orders []listOrder, orderableSet map[string]struct{}, maskExpr string, maskArgs []any, fp filterParts, resourcePred string, limit, offset int) (string, []any, error) {
sb := sqlbuilder.NewSelectBuilder()
// SELECT trace_id + only the aggregates ORDER BY / HAVING reference (as aliases).
needed := neededMatchedAliases(orders, fp.havingExpr, orderableSet)
selects := []string{"trace_id"}
for _, rc := range resolved {
if _, ok := needed[rc.alias]; !ok {
continue
}
colExpr, err := embedExpr(sb, rc.expr, rc.args)
if err != nil {
return "", nil, err
}
selects = append(selects, colExpr+" AS "+quoteAlias(rc.alias))
}
sb.Select(selects...)
sb.From(spanTable())
// WHERE: window + prune to in-scope spans, widened by the span filter so its
// spans survive for the countIf existence check below.
win := windowWhere(sb, start, end, startBucket, endBucket)
mask, err := embedExpr(sb, maskExpr, maskArgs)
if err != nil {
return "", nil, err
}
prune := "(" + mask
if fp.hasSpanFilter {
spanPred, err := embedExpr(sb, fp.spanPred, fp.spanArgs)
if err != nil {
return "", nil, err
}
prune += " OR " + spanPred
}
prune += ")"
where := append(win, prune)
if resourcePred != "" {
where = append(where, resourcePred)
}
sb.Where(where...)
sb.GroupBy("trace_id")
// HAVING: the gate/span existence checks are only needed when the WHERE was
// widened by a span filter; otherwise the mask alone already enforces the gate.
var having []string
if fp.hasSpanFilter {
havingMask, err := embedExpr(sb, maskExpr, maskArgs)
if err != nil {
return "", nil, err
}
havingPred, err := embedExpr(sb, fp.spanPred, fp.spanArgs)
if err != nil {
return "", nil, err
}
having = append(having, "countIf("+havingMask+") > 0")
having = append(having, "countIf("+havingPred+") > 0")
}
if strings.TrimSpace(fp.havingExpr) != "" {
hv, err := b.buildHaving(fp.havingExpr, orderableSet)
if err != nil {
return "", nil, err
}
if hv != "" {
// hv carries user text with values inlined by the rewriter; escape it so a
// literal $ can't be read as an interpolation marker at Build time. The
// countIf entries above hold live placeholders and must stay unescaped.
having = append(having, sqlbuilder.Escape(hv))
}
}
if len(having) > 0 {
sb.Having(strings.Join(having, " AND "))
}
sb.OrderBy(orderClause(orders)...)
sb.Limit(limit)
if offset > 0 {
sb.Offset(offset)
}
sql, args := sb.BuildWithFlavor(sqlbuilder.ClickHouse)
return fmt.Sprintf("matched AS (%s)", sql), args, nil
}
// buildRankedCTE builds `ranked`: [start,end] bounds per matched trace, read from the
// small trace-summary table.
func (b *scopedTraceStatementBuilder) buildRankedCTE(start, end uint64) (string, []any) {
sb := sqlbuilder.NewSelectBuilder()
sb.Select("trace_id", "min(start) AS t_start", "max(end) AS t_end")
sb.From(summaryTable())
sb.Where(
"trace_id GLOBAL IN (SELECT trace_id FROM matched)",
"end >= fromUnixTimestamp64Nano("+sb.Var(start)+")",
"start < fromUnixTimestamp64Nano("+sb.Var(end)+")",
)
sb.GroupBy("trace_id")
sql, args := sb.BuildWithFlavor(sqlbuilder.ClickHouse)
return fmt.Sprintf("ranked AS (%s)", sql), args
}
// buildBucketsCTE builds `buckets`: the ts_bucket_start values the matched traces
// span, so the enrichment scan is primary-key pruned. No args.
func buildBucketsCTE() string {
adj := querybuilder.BucketAdjustment // 30-min bucket width in seconds
return fmt.Sprintf("buckets AS (SELECT DISTINCT b AS ts_bucket FROM ranked "+
"ARRAY JOIN range("+
"toUInt64(intDiv(toUnixTimestamp(t_start), %d) * %d - %d), "+
"toUInt64(intDiv(toUnixTimestamp(t_end), %d) * %d + %d), "+
"%d) AS b)", adj, adj, adj, adj, adj, adj, adj)
}
// buildEnrichmentSelect builds the final SELECT: every per-trace column for the
// matched traces over their full extent, scanning only their buckets.
//
// Accepted discrepancy: matched ranks/paginates on window-clipped values (and, with a
// resource filter, only over fingerprint-matching spans), while this pass recomputes
// and ORDER BYs full-trace values — so a trace with activity outside the window or
// resource can sort differently than it ranked. Page membership is unaffected
// (LIMIT/OFFSET runs only in matched); rows still sort by the values the user sees.
// Ordering by matched's values instead would re-run the matched scan (ClickHouse
// re-executes a CTE per reference) without fixing the visible cross-page artifact.
func (b *scopedTraceStatementBuilder) buildEnrichmentSelect(resolved []resolvedColumn, orders []listOrder) (string, []any) {
sb := sqlbuilder.NewSelectBuilder()
selects, selectArgs := selectAllColumns(resolved)
sb.Select(selects...)
sb.From(spanTable())
sb.Where(
"ts_bucket_start GLOBAL IN (SELECT ts_bucket FROM buckets)",
"trace_id GLOBAL IN (SELECT trace_id FROM ranked)",
)
sb.GroupBy("trace_id")
sb.OrderBy(orderClause(orders)...)
sql, builtArgs := sb.BuildWithFlavor(sqlbuilder.ClickHouse)
return sql, append(append([]any{}, selectArgs...), builtArgs...)
}
// buildHaving rewrites a trace-level HAVING expression to the matched-pass column
// aliases. The rewriter matches raw key text, so the trace. form is mapped alongside
// the bare name.
func (b *scopedTraceStatementBuilder) buildHaving(havingExpr string, orderableSet map[string]struct{}) (string, error) {
columnMap := make(map[string]string, len(orderableSet)*2)
for a := range orderableSet {
columnMap[a] = quoteAlias(a)
columnMap[telemetrytypes.FieldContextTrace.StringValue()+"."+a] = quoteAlias(a)
}
return querybuilder.NewHavingExpressionRewriter().Rewrite(havingExpr, columnMap)
}
// ---------------------------------------------------------------------------
// Small shared SQL-builder utilities
// ---------------------------------------------------------------------------
// spanTable is the fully-qualified span index table.
func spanTable() string {
return fmt.Sprintf("%s.%s", tracestelemetryschema.DBName, tracestelemetryschema.SpanIndexV3TableName)
}
// summaryTable is the fully-qualified trace-summary table.
func summaryTable() string {
return fmt.Sprintf("%s.%s", tracestelemetryschema.DBName, tracestelemetryschema.TraceSummaryTableName)
}
// aggregateAliasSet is every trace-level column alias, used to classify filter keys
// as trace-level vs span-level. Derived from the scope's columns so a new column
// can't be forgotten; SpanLevel columns are filtered span-level, so skip them.
func (b *scopedTraceStatementBuilder) aggregateAliasSet() map[string]struct{} {
set := make(map[string]struct{}, len(b.scope.Columns))
for _, c := range b.scope.Columns {
if !c.SpanLevel {
set[c.Alias] = struct{}{}
}
}
return set
}
// orderableAliasSet is the subset of aliases computable in the matched pass — the
// only ones usable in ORDER BY and the aggregate filter.
func orderableAliasSet(resolved []resolvedColumn) map[string]struct{} {
set := make(map[string]struct{})
for _, rc := range resolved {
if rc.orderable {
set[rc.alias] = struct{}{}
}
}
return set
}
// neededMatchedAliases is the minimal alias set the matched pass must select: those
// in ORDER BY plus those in the aggregate HAVING. Everything else is left to the
// enrichment scan.
func neededMatchedAliases(orders []listOrder, havingExpr string, orderableSet map[string]struct{}) map[string]struct{} {
needed := make(map[string]struct{})
for _, o := range orders {
needed[o.alias] = struct{}{}
}
for _, name := range traceAggregateNames(havingExpr) {
if _, ok := orderableSet[name]; ok {
needed[name] = struct{}{}
}
}
return needed
}
// traceAggregateNames extracts the aggregate names a trace-level HAVING expression
// references. QueryStringToKeysSelectors emits an extra attribute-context fallback
// selector for context-prefixed keys (`trace.x` → attribute "trace.x"); only the
// unspecified- and trace-context selectors name aggregates.
func traceAggregateNames(havingExpr string) []string {
var names []string
for _, sel := range querybuilder.QueryStringToKeysSelectors(havingExpr) {
if sel.FieldContext == telemetrytypes.FieldContextUnspecified || sel.FieldContext == telemetrytypes.FieldContextTrace {
names = append(names, sel.Name)
}
}
return names
}
// validateAggregateFilter rejects a trace-level filter referencing an aggregate not
// computable in the matched pass (e.g. span_count, trace_duration_nano).
func validateAggregateFilter(havingExpr string, orderableSet map[string]struct{}) error {
if strings.TrimSpace(havingExpr) == "" {
return nil
}
allowed := make([]string, 0, len(orderableSet))
for a := range orderableSet {
allowed = append(allowed, a)
}
sort.Strings(allowed)
for _, name := range traceAggregateNames(havingExpr) {
if _, ok := orderableSet[name]; !ok {
return errors.NewInvalidInputf(errors.CodeInvalidInput,
"aggregate %q cannot be used in the trace-list filter; filterable aggregates: %s", name, strings.Join(allowed, ", "))
}
}
return nil
}
// embedExpr inlines a resolved expr into sb, replacing each `?` placeholder with a
// builder Var so the args are tracked in appearance order. Resolved exprs carry
// values only as bound args, so every `?` is a placeholder; a count mismatch would
// silently shift args into the wrong slots — error out instead.
func embedExpr(sb *sqlbuilder.SelectBuilder, expr string, args []any) (string, error) {
if n := strings.Count(expr, "?"); n != len(args) {
return "", errors.NewInternalf(errors.CodeInternal,
"scoped trace builder: %d placeholders != %d args embedding %q", n, len(args), expr)
}
var out strings.Builder
ai := 0
for i := 0; i < len(expr); i++ {
if expr[i] == '?' {
out.WriteString(sb.Var(args[ai]))
ai++
continue
}
out.WriteByte(expr[i])
}
return out.String(), nil
}
// windowWhere binds the time-window predicates to sb and returns them so the caller
// can add its own predicates in the same Where call.
func windowWhere(sb *sqlbuilder.SelectBuilder, start, end, startBucket, endBucket uint64) []string {
return []string{
sb.GE("timestamp", fmt.Sprintf("%d", start)),
sb.L("timestamp", fmt.Sprintf("%d", end)),
sb.GE("ts_bucket_start", startBucket),
sb.LE("ts_bucket_start", endBucket),
}
}
// orderClause renders the ORDER BY terms plus the trace_id tiebreak.
func orderClause(orders []listOrder) []string {
out := make([]string, 0, len(orders)+1)
for _, o := range orders {
out = append(out, fmt.Sprintf("%s %s", quoteAlias(o.alias), o.direction))
}
return append(out, "trace_id DESC")
}
// selectAllColumns renders `expr AS alias` for every resolved column, args in select
// order.
func selectAllColumns(resolved []resolvedColumn) ([]string, []any) {
selects := []string{"trace_id"}
var args []any
for _, rc := range resolved {
selects = append(selects, rc.expr+" AS "+quoteAlias(rc.alias))
args = append(args, rc.args...)
}
return selects, args
}
// quoteAlias backticks an alias containing characters special to the SQL builder.
func quoteAlias(alias string) string {
if strings.ContainsAny(alias, ".$`") {
return "`" + alias + "`"
}
return alias
}

View File

@@ -1,31 +0,0 @@
package scopedtracesstatementbuilder
import (
"strings"
"testing"
"github.com/huandu/go-sqlbuilder"
"github.com/stretchr/testify/require"
)
// The full-pipeline golden tests live in pkg/statementbuilder/aistatementbuilder,
// which exercises this
// builder through its production provider pair. The tests here cover only what
// needs the package internals.
// embedExpr treats every `?` byte as a placeholder; a count/args mismatch (an expr
// carrying a literal `?`, or a dropped arg) must fail loudly instead of silently
// shifting every subsequent arg into the wrong placeholder.
func TestEmbedExpr_PlaceholderArgMismatch(t *testing.T) {
sb := sqlbuilder.NewSelectBuilder()
out, err := embedExpr(sb, "x = ? AND y = ?", []any{1, 2})
require.NoError(t, err)
require.Equal(t, 2, strings.Count(out, "$"), "both placeholders bound as builder vars")
_, err = embedExpr(sb, "x = ? AND y LIKE 'a?b'", []any{1})
require.Error(t, err, "literal ? in the expr must not pass as a placeholder")
_, err = embedExpr(sb, "x = ?", []any{1, 2})
require.Error(t, err, "extra args must not be silently dropped")
}

View File

@@ -1,4 +1,4 @@
package audittelemetryschema
package telemetryaudit
import (
"context"

View File

@@ -1,4 +1,4 @@
package audittelemetryschema
package telemetryaudit
import (
schema "github.com/SigNoz/signoz-otel-collector/cmd/signozschemamigrator/schema_migrator"
@@ -127,14 +127,3 @@ var auditLogColumns = map[string]*schema.Column{
"scope_version": {Name: "scope_version", Type: schema.ColumnTypeString},
"scope_string": {Name: "scope_string", Type: schema.MapColumnType{KeyType: schema.LowCardinalityColumnType{ElementType: schema.ColumnTypeString}, ValueType: schema.ColumnTypeString}},
}
const (
DBName = "signoz_audit"
AuditLogsTableName = "distributed_logs"
AuditLogsLocalTableName = "logs"
TagAttributesTableName = "distributed_tag_attributes"
TagAttributesLocalTableName = "tag_attributes"
LogAttributeKeysTblName = "distributed_logs_attribute_keys"
LogResourceKeysTblName = "distributed_logs_resource_keys"
LogsResourceTableName = "distributed_logs_resource"
)

View File

@@ -1,4 +1,4 @@
package audittelemetryschema
package telemetryaudit
import (
"context"

View File

@@ -1,4 +1,4 @@
package auditstatementbuilder
package telemetryaudit
import (
"context"
@@ -10,9 +10,7 @@ import (
"github.com/SigNoz/signoz/pkg/factory"
"github.com/SigNoz/signoz/pkg/flagger"
"github.com/SigNoz/signoz/pkg/querybuilder"
"github.com/SigNoz/signoz/pkg/statementbuilder"
"github.com/SigNoz/signoz/pkg/statementbuilder/resourcefilter"
"github.com/SigNoz/signoz/pkg/telemetryschema/audittelemetryschema"
"github.com/SigNoz/signoz/pkg/telemetryresourcefilter"
qbtypes "github.com/SigNoz/signoz/pkg/types/querybuildertypes/querybuildertypesv5"
"github.com/SigNoz/signoz/pkg/types/telemetrytypes"
"github.com/SigNoz/signoz/pkg/valuer"
@@ -31,25 +29,6 @@ type auditQueryStatementBuilder struct {
var _ qbtypes.StatementBuilder[qbtypes.LogAggregation] = (*auditQueryStatementBuilder)(nil)
// NewFactory returns a provider factory for the audit statement builder. Its New
// internalizes the FieldMapper, ConditionBuilder, and AggExprRewriter.
func NewFactory(
metadataStore telemetrytypes.MetadataStore,
fl flagger.Flagger,
) factory.ProviderFactory[qbtypes.StatementBuilder[qbtypes.LogAggregation], statementbuilder.Config] {
return factory.NewProviderFactory(
factory.MustNewName("audit"),
func(_ context.Context, settings factory.ProviderSettings, _ statementbuilder.Config) (qbtypes.StatementBuilder[qbtypes.LogAggregation], error) {
fm := audittelemetryschema.NewFieldMapper()
cb := audittelemetryschema.NewConditionBuilder(fm)
aggExprRewriter := querybuilder.NewAggExprRewriter(settings, audittelemetryschema.DefaultFullTextColumn, fm, cb, fl)
return NewAuditQueryStatementBuilder(
settings, metadataStore, fm, cb, aggExprRewriter, audittelemetryschema.DefaultFullTextColumn, fl,
), nil
},
)
}
func NewAuditQueryStatementBuilder(
settings factory.ProviderSettings,
metadataStore telemetrytypes.MetadataStore,
@@ -59,12 +38,12 @@ func NewAuditQueryStatementBuilder(
fullTextColumn *telemetrytypes.TelemetryFieldKey,
flagger flagger.Flagger,
) *auditQueryStatementBuilder {
auditSettings := factory.NewScopedProviderSettings(settings, "github.com/SigNoz/signoz/pkg/telemetryschema/audittelemetryschema")
auditSettings := factory.NewScopedProviderSettings(settings, "github.com/SigNoz/signoz/pkg/telemetryaudit")
resourceFilterStmtBuilder := resourcefilter.New[qbtypes.LogAggregation](
resourceFilterStmtBuilder := telemetryresourcefilter.New[qbtypes.LogAggregation](
settings,
audittelemetryschema.DBName,
audittelemetryschema.LogsResourceTableName,
DBName,
LogsResourceTableName,
telemetrytypes.SignalLogs,
telemetrytypes.SourceAudit,
metadataStore,
@@ -212,8 +191,8 @@ func (b *auditQueryStatementBuilder) adjustKeys(ctx context.Context, keys map[st
}
func (b *auditQueryStatementBuilder) adjustKey(key *telemetrytypes.TelemetryFieldKey, keys map[string][]*telemetrytypes.TelemetryFieldKey) []string {
if _, ok := audittelemetryschema.IntrinsicFields[key.Name]; ok {
intrinsicField := audittelemetryschema.IntrinsicFields[key.Name]
if _, ok := IntrinsicFields[key.Name]; ok {
intrinsicField := IntrinsicFields[key.Name]
return querybuilder.AdjustKey(key, keys, &intrinsicField)
}
return querybuilder.AdjustKey(key, keys, nil)
@@ -240,26 +219,26 @@ func (b *auditQueryStatementBuilder) buildListQuery(
cteArgs = append(cteArgs, args)
}
sb.Select(audittelemetryschema.TimestampColumn)
sb.SelectMore(audittelemetryschema.IDColumn)
sb.Select(TimestampColumn)
sb.SelectMore(IDColumn)
if len(query.SelectFields) == 0 {
sb.SelectMore(audittelemetryschema.TraceIDColumn)
sb.SelectMore(audittelemetryschema.SpanIDColumn)
sb.SelectMore(audittelemetryschema.TraceFlagsColumn)
sb.SelectMore(audittelemetryschema.SeverityTextColumn)
sb.SelectMore(audittelemetryschema.SeverityNumberColumn)
sb.SelectMore(audittelemetryschema.ScopeNameColumn)
sb.SelectMore(audittelemetryschema.ScopeVersionColumn)
sb.SelectMore(audittelemetryschema.BodyColumn)
sb.SelectMore(audittelemetryschema.EventNameColumn)
sb.SelectMore(audittelemetryschema.AttributesStringColumn)
sb.SelectMore(audittelemetryschema.AttributesNumberColumn)
sb.SelectMore(audittelemetryschema.AttributesBoolColumn)
sb.SelectMore(audittelemetryschema.ResourceColumn)
sb.SelectMore(audittelemetryschema.ScopeStringColumn)
sb.SelectMore(TraceIDColumn)
sb.SelectMore(SpanIDColumn)
sb.SelectMore(TraceFlagsColumn)
sb.SelectMore(SeverityTextColumn)
sb.SelectMore(SeverityNumberColumn)
sb.SelectMore(ScopeNameColumn)
sb.SelectMore(ScopeVersionColumn)
sb.SelectMore(BodyColumn)
sb.SelectMore(EventNameColumn)
sb.SelectMore(AttributesStringColumn)
sb.SelectMore(AttributesNumberColumn)
sb.SelectMore(AttributesBoolColumn)
sb.SelectMore(ResourceColumn)
sb.SelectMore(ScopeStringColumn)
} else {
for index := range query.SelectFields {
if query.SelectFields[index].Name == audittelemetryschema.TimestampColumn || query.SelectFields[index].Name == audittelemetryschema.IDColumn {
if query.SelectFields[index].Name == TimestampColumn || query.SelectFields[index].Name == IDColumn {
continue
}
@@ -271,7 +250,7 @@ func (b *auditQueryStatementBuilder) buildListQuery(
}
}
sb.From(fmt.Sprintf("%s.%s", audittelemetryschema.DBName, audittelemetryschema.AuditLogsTableName))
sb.From(fmt.Sprintf("%s.%s", DBName, AuditLogsTableName))
preparedWhereClause, err := b.addFilterCondition(ctx, orgID, sb, start, end, query, keys, variables)
if err != nil {
@@ -361,7 +340,7 @@ func (b *auditQueryStatementBuilder) buildTimeSeriesQuery(
sb.SelectMore(fmt.Sprintf("%s AS __result_%d", rewritten, i))
}
sb.From(fmt.Sprintf("%s.%s", audittelemetryschema.DBName, audittelemetryschema.AuditLogsTableName))
sb.From(fmt.Sprintf("%s.%s", DBName, AuditLogsTableName))
preparedWhereClause, err := b.addFilterCondition(ctx, orgID, sb, start, end, query, keys, variables)
if err != nil {
@@ -499,7 +478,7 @@ func (b *auditQueryStatementBuilder) buildScalarQuery(
}
}
sb.From(fmt.Sprintf("%s.%s", audittelemetryschema.DBName, audittelemetryschema.AuditLogsTableName))
sb.From(fmt.Sprintf("%s.%s", DBName, AuditLogsTableName))
preparedWhereClause, err := b.addFilterCondition(ctx, orgID, sb, start, end, query, keys, variables)
if err != nil {

View File

@@ -1,4 +1,4 @@
package auditstatementbuilder
package telemetryaudit
import (
"context"
@@ -8,7 +8,6 @@ import (
"github.com/SigNoz/signoz/pkg/flagger/flaggertest"
"github.com/SigNoz/signoz/pkg/instrumentation/instrumentationtest"
"github.com/SigNoz/signoz/pkg/querybuilder"
"github.com/SigNoz/signoz/pkg/telemetryschema/audittelemetryschema"
qbtypes "github.com/SigNoz/signoz/pkg/types/querybuildertypes/querybuildertypesv5"
"github.com/SigNoz/signoz/pkg/types/telemetrytypes"
"github.com/SigNoz/signoz/pkg/types/telemetrytypes/telemetrytypestest"
@@ -55,8 +54,8 @@ func newTestAuditStatementBuilder(t *testing.T) *auditQueryStatementBuilder {
mockMetadataStore := telemetrytypestest.NewMockMetadataStore()
mockMetadataStore.KeysMap = auditFieldKeyMap()
fm := audittelemetryschema.NewFieldMapper()
cb := audittelemetryschema.NewConditionBuilder(fm)
fm := NewFieldMapper()
cb := NewConditionBuilder(fm)
aggExprRewriter := querybuilder.NewAggExprRewriter(instrumentationtest.New().ToProviderSettings(), nil, fm, cb, fl)
return NewAuditQueryStatementBuilder(
@@ -65,7 +64,7 @@ func newTestAuditStatementBuilder(t *testing.T) *auditQueryStatementBuilder {
fm,
cb,
aggExprRewriter,
audittelemetryschema.DefaultFullTextColumn,
DefaultFullTextColumn,
fl,
)
}

View File

@@ -0,0 +1,12 @@
package telemetryaudit
const (
DBName = "signoz_audit"
AuditLogsTableName = "distributed_logs"
AuditLogsLocalTableName = "logs"
TagAttributesTableName = "distributed_tag_attributes"
TagAttributesLocalTableName = "tag_attributes"
LogAttributeKeysTblName = "distributed_logs_attribute_keys"
LogResourceKeysTblName = "distributed_logs_resource_keys"
LogsResourceTableName = "distributed_logs_resource"
)

View File

@@ -1,4 +1,4 @@
package logstelemetryschema
package telemetrylogs
import (
"context"

View File

@@ -1,4 +1,4 @@
package logstelemetryschema
package telemetrylogs
import (
"context"
@@ -548,7 +548,7 @@ func TestConditionForSynthesizedPrefixedKeys(t *testing.T) {
t.Run("bare intrinsic column resolves to the column, not synthesized attributes", func(t *testing.T) {
sb := sqlbuilder.NewSelectBuilder()
key := telemetrytypes.TelemetryFieldKey{Name: "severity_text"}
conds, _, err := cb.ConditionFor(ctx, valuer.UUID{}, 0, 0, &key, nil, qbtypes.ConditionBuilderOptions{}, qbtypes.FilterOperatorEqual, "ERROR", sb)
conds, _, err := cb.ConditionFor(ctx, valuer.UUID{}, 0, 0, &key, nil, qbtypes.ConditionBuilderOptions{},qbtypes.FilterOperatorEqual, "ERROR", sb)
require.NoError(t, err)
require.Len(t, conds, 1)
sb.Where(conds...)
@@ -560,7 +560,7 @@ func TestConditionForSynthesizedPrefixedKeys(t *testing.T) {
t.Run("attribute context", func(t *testing.T) {
sb := sqlbuilder.NewSelectBuilder()
key := telemetrytypes.TelemetryFieldKey{Name: "custom.key", FieldContext: telemetrytypes.FieldContextAttribute}
conds, warnings, err := cb.ConditionFor(ctx, valuer.UUID{}, 0, 0, &key, nil, qbtypes.ConditionBuilderOptions{}, qbtypes.FilterOperatorEqual, "v", sb)
conds, warnings, err := cb.ConditionFor(ctx, valuer.UUID{}, 0, 0, &key, nil, qbtypes.ConditionBuilderOptions{},qbtypes.FilterOperatorEqual, "v", sb)
require.NoError(t, err)
assert.NotEmpty(t, warnings)
require.Len(t, conds, 2)
@@ -571,7 +571,7 @@ func TestConditionForSynthesizedPrefixedKeys(t *testing.T) {
t.Run("resource context", func(t *testing.T) {
sb := sqlbuilder.NewSelectBuilder()
key := telemetrytypes.TelemetryFieldKey{Name: "custom.key", FieldContext: telemetrytypes.FieldContextResource}
conds, warnings, err := cb.ConditionFor(ctx, valuer.UUID{}, 0, 0, &key, nil, qbtypes.ConditionBuilderOptions{}, qbtypes.FilterOperatorEqual, "v", sb)
conds, warnings, err := cb.ConditionFor(ctx, valuer.UUID{}, 0, 0, &key, nil, qbtypes.ConditionBuilderOptions{},qbtypes.FilterOperatorEqual, "v", sb)
require.NoError(t, err)
assert.NotEmpty(t, warnings)
require.Len(t, conds, 2)
@@ -582,7 +582,7 @@ func TestConditionForSynthesizedPrefixedKeys(t *testing.T) {
t.Run("log context folds to attributes then body", func(t *testing.T) {
sb := sqlbuilder.NewSelectBuilder()
key := telemetrytypes.TelemetryFieldKey{Name: "custom.key", FieldContext: telemetrytypes.FieldContextLog}
conds, warnings, err := cb.ConditionFor(ctx, valuer.UUID{}, 0, 0, &key, nil, qbtypes.ConditionBuilderOptions{}, qbtypes.FilterOperatorEqual, "v", sb)
conds, warnings, err := cb.ConditionFor(ctx, valuer.UUID{}, 0, 0, &key, nil, qbtypes.ConditionBuilderOptions{},qbtypes.FilterOperatorEqual, "v", sb)
require.NoError(t, err)
assert.NotEmpty(t, warnings)
require.Len(t, conds, 4)

View File

@@ -1,6 +1,8 @@
package logstelemetryschema
package telemetrylogs
import (
"fmt"
"github.com/SigNoz/signoz-otel-collector/constants"
qbtypes "github.com/SigNoz/signoz/pkg/types/querybuildertypes/querybuildertypesv5"
"github.com/SigNoz/signoz/pkg/types/telemetrytypes"
@@ -39,8 +41,9 @@ const (
// messageSubColumn is the ClickHouse sub-column that body searches map to
// when use_json_body feature flag is true.
messageSubField = "message"
messageSubColumn = "body_v2.message"
messageSubField = "message"
messageSubColumn = "body_v2.message"
bodySearchDefaultWarning = "body searches default to `body.message:string`. Use `body.<key>` to search a different field inside body"
// bodyMessageField is the field name addressing the message sub-field of the
// body when use_json_body is enabled (i.e. `body` + `.` + `message`). hasToken
@@ -134,16 +137,10 @@ var (
}
)
const (
DBName = "signoz_logs"
LogsV2TableName = "distributed_logs_v2"
LogsV2LocalTableName = "logs_v2"
TagAttributesV2TableName = "distributed_tag_attributes_v2"
TagAttributesV2LocalTableName = "tag_attributes_v2"
LogAttributeKeysTblName = "distributed_logs_attribute_keys"
LogResourceKeysTblName = "distributed_logs_resource_keys"
LogsResourceV2TableName = "distributed_logs_v2_resource"
PathTypesTableName = "distributed_json_path_types"
PromotedPathsTableName = "distributed_json_promoted_paths"
SkipIndexTableName = "system.data_skipping_indices"
)
func bodyAliasExpression(bodyJSONEnabled bool) string {
if !bodyJSONEnabled {
return LogsV2BodyColumn
}
return fmt.Sprintf("%s as body", LogsV2BodyV2Column)
}

View File

@@ -1,4 +1,4 @@
package logstelemetryschema
package telemetrylogs
import (
"context"

View File

@@ -1,4 +1,4 @@
package logstelemetryschema
package telemetrylogs
import (
"context"

View File

@@ -1,4 +1,4 @@
package logstelemetryschema
package telemetrylogs
import (
"context"
@@ -19,7 +19,7 @@ func TestLikeAndILikeWithoutWildcards_Warns(t *testing.T) {
cb := NewConditionBuilder(fm, fl)
releaseTime := time.Date(2024, 1, 15, 10, 0, 0, 0, time.UTC)
keys := BuildCompleteFieldKeyMap(releaseTime)
keys := buildCompleteFieldKeyMap(releaseTime)
opts := querybuilder.FilterExprVisitorOpts{
Context: ctx,
@@ -57,7 +57,7 @@ func TestLikeAndILikeWithWildcards_NoWarn(t *testing.T) {
cb := NewConditionBuilder(fm, fl)
releaseTime := time.Date(2024, 1, 15, 10, 0, 0, 0, time.UTC)
keys := BuildCompleteFieldKeyMap(releaseTime)
keys := buildCompleteFieldKeyMap(releaseTime)
opts := querybuilder.FilterExprVisitorOpts{
Context: context.Background(),

View File

@@ -1,4 +1,4 @@
package logstelemetryschema
package telemetrylogs
import (
"context"
@@ -21,7 +21,7 @@ func TestFilterExprLogsBodyJSON(t *testing.T) {
cb := NewConditionBuilder(fm, fl)
// Define a comprehensive set of field keys to support all test cases
releaseTime := time.Date(2024, 1, 15, 10, 0, 0, 0, time.UTC)
keys := BuildCompleteFieldKeyMap(releaseTime)
keys := buildCompleteFieldKeyMap(releaseTime)
opts := querybuilder.FilterExprVisitorOpts{
Context: context.Background(),

View File

@@ -1,4 +1,4 @@
package logstelemetryschema
package telemetrylogs
import (
"context"
@@ -41,7 +41,7 @@ func TestFilterExprLogs(t *testing.T) {
cb := NewConditionBuilder(fm, fl)
// Define a comprehensive set of field keys to support all test cases
keys := BuildCompleteFieldKeyMap(releaseTime)
keys := buildCompleteFieldKeyMap(releaseTime)
opts := querybuilder.FilterExprVisitorOpts{
Context: ctx,
@@ -2476,7 +2476,7 @@ func TestFilterExprLogsConflictNegation(t *testing.T) {
// Define a comprehensive set of field keys to support all test cases
releaseTime := time.Date(2024, 1, 15, 10, 0, 0, 0, time.UTC)
keys := BuildCompleteFieldKeyMap(releaseTime)
keys := buildCompleteFieldKeyMap(releaseTime)
keys["body"] = []*telemetrytypes.TelemetryFieldKey{
{

View File

@@ -1,4 +1,4 @@
package logsstatementbuilder
package telemetrylogs
import (
"context"
@@ -8,7 +8,6 @@ import (
"github.com/SigNoz/signoz/pkg/flagger/flaggertest"
"github.com/SigNoz/signoz/pkg/instrumentation/instrumentationtest"
"github.com/SigNoz/signoz/pkg/querybuilder"
"github.com/SigNoz/signoz/pkg/telemetryschema/logstelemetryschema"
qbtypes "github.com/SigNoz/signoz/pkg/types/querybuildertypes/querybuildertypesv5"
"github.com/SigNoz/signoz/pkg/types/telemetrytypes"
"github.com/SigNoz/signoz/pkg/types/telemetrytypes/telemetrytypestest"
@@ -44,14 +43,14 @@ func TestStatementBuilderGroupByUnknownKey(t *testing.T) {
t.Run(c.name, func(t *testing.T) {
fl := flaggertest.WithUseJSONBody(t, c.useJSONBody)
mockMetadataStore := telemetrytypestest.NewMockMetadataStore()
mockMetadataStore.KeysMap = logstelemetryschema.BuildCompleteFieldKeyMap(releaseTime)
fm := logstelemetryschema.NewFieldMapper(fl)
cb := logstelemetryschema.NewConditionBuilder(fm, fl)
mockMetadataStore.KeysMap = buildCompleteFieldKeyMap(releaseTime)
fm := NewFieldMapper(fl)
cb := NewConditionBuilder(fm, fl)
aggExprRewriter := querybuilder.NewAggExprRewriter(instrumentationtest.New().ToProviderSettings(), nil, fm, cb, fl)
statementBuilder := NewLogQueryStatementBuilder(
instrumentationtest.New().ToProviderSettings(),
mockMetadataStore, fm, cb, aggExprRewriter,
logstelemetryschema.DefaultFullTextColumn, fl, nil, false, 100000,
DefaultFullTextColumn, fl, nil, false, 100000,
)
query := qbtypes.QueryBuilderQuery[qbtypes.LogAggregation]{

View File

@@ -1,4 +1,4 @@
package logstelemetryschema
package telemetrylogs
import (
"fmt"

View File

@@ -1,4 +1,4 @@
package logstelemetryschema
package telemetrylogs
import (
"strings"

View File

@@ -1,4 +1,4 @@
package logsstatementbuilder
package telemetrylogs
import (
"context"
@@ -11,7 +11,6 @@ import (
"github.com/SigNoz/signoz/pkg/flagger/flaggertest"
"github.com/SigNoz/signoz/pkg/instrumentation/instrumentationtest"
"github.com/SigNoz/signoz/pkg/querybuilder"
"github.com/SigNoz/signoz/pkg/telemetryschema/logstelemetryschema"
qbtypes "github.com/SigNoz/signoz/pkg/types/querybuildertypes/querybuildertypesv5"
"github.com/SigNoz/signoz/pkg/types/telemetrytypes"
"github.com/SigNoz/signoz/pkg/types/telemetrytypes/telemetrytypestest"
@@ -1226,7 +1225,7 @@ func TestJSONStmtBuilder_OrderBy(t *testing.T) {
func TestResourceAggrAndGroupBy_WithJSONEnabled(t *testing.T) {
statementBuilder, metadataStore := buildJSONTestStatementBuilder(t, false)
releaseTime := time.Date(2024, 1, 15, 10, 0, 0, 0, time.UTC)
keysMap := logstelemetryschema.BuildCompleteFieldKeyMap(releaseTime)
keysMap := buildCompleteFieldKeyMap(releaseTime)
for _, keys := range keysMap {
for _, key := range keys {
metadataStore.SetKey(key)
@@ -1288,7 +1287,7 @@ func TestResourceAggrAndGroupBy_WithJSONEnabled(t *testing.T) {
func buildTestTelemetryMetadataStore(t *testing.T, addIndexes bool) *telemetrytypestest.MockMetadataStore {
mockMetadataStore := telemetrytypestest.NewMockMetadataStore()
mockMetadataStore.SetStaticFields(logstelemetryschema.IntrinsicFields)
mockMetadataStore.SetStaticFields(IntrinsicFields)
types, _ := telemetrytypes.TestJSONTypeSet()
for path, fieldDataTypes := range types {
for _, fdt := range fieldDataTypes {
@@ -1308,15 +1307,15 @@ func buildTestTelemetryMetadataStore(t *testing.T, addIndexes bool) *telemetryty
Name: path,
FieldContext: telemetrytypes.FieldContextBody,
FieldDataType: fdt,
BaseColumn: logstelemetryschema.LogsV2BodyV2Column,
IndexExpression: schemamigrator.JSONSubColumnIndexExpr(logstelemetryschema.LogsV2BodyV2Column, path, jsonType.StringValue()),
BaseColumn: LogsV2BodyV2Column,
IndexExpression: schemamigrator.JSONSubColumnIndexExpr(LogsV2BodyV2Column, path, jsonType.StringValue()),
})
}
}
err := key.SetJSONAccessPlan(telemetrytypes.JSONColumnMetadata{
BaseColumn: logstelemetryschema.LogsV2BodyV2Column,
PromotedColumn: logstelemetryschema.LogsV2BodyPromotedColumn,
BaseColumn: LogsV2BodyV2Column,
PromotedColumn: LogsV2BodyPromotedColumn,
}, types)
require.NoError(t, err)
@@ -1332,8 +1331,8 @@ func buildJSONTestStatementBuilder(t *testing.T, addIndexes bool) (*logQueryStat
mockMetadataStore := buildTestTelemetryMetadataStore(t, addIndexes)
fl := flaggertest.WithUseJSONBody(t, true)
fm := logstelemetryschema.NewFieldMapper(fl)
cb := logstelemetryschema.NewConditionBuilder(fm, fl)
fm := NewFieldMapper(fl)
cb := NewConditionBuilder(fm, fl)
aggExprRewriter := querybuilder.NewAggExprRewriter(instrumentationtest.New().ToProviderSettings(), nil, fm, cb, fl)
@@ -1343,7 +1342,7 @@ func buildJSONTestStatementBuilder(t *testing.T, addIndexes bool) (*logQueryStat
fm,
cb,
aggExprRewriter,
logstelemetryschema.DefaultFullTextColumn,
DefaultFullTextColumn,
fl,
nil,
false,

View File

@@ -1,4 +1,4 @@
package logstelemetryschema
package telemetrylogs
import (
"context"

View File

@@ -1,4 +1,4 @@
package logsstatementbuilder
package telemetrylogs
import (
"context"
@@ -10,9 +10,7 @@ import (
"github.com/SigNoz/signoz/pkg/factory"
"github.com/SigNoz/signoz/pkg/flagger"
"github.com/SigNoz/signoz/pkg/querybuilder"
"github.com/SigNoz/signoz/pkg/statementbuilder"
"github.com/SigNoz/signoz/pkg/statementbuilder/resourcefilter"
"github.com/SigNoz/signoz/pkg/telemetryschema/logstelemetryschema"
"github.com/SigNoz/signoz/pkg/telemetryresourcefilter"
"github.com/SigNoz/signoz/pkg/telemetrystore"
"github.com/SigNoz/signoz/pkg/types/featuretypes"
qbtypes "github.com/SigNoz/signoz/pkg/types/querybuildertypes/querybuildertypesv5"
@@ -21,22 +19,12 @@ import (
"github.com/huandu/go-sqlbuilder"
)
const bodySearchDefaultWarning = "body searches default to `body.message:string`. Use `body.<key>` to search a different field inside body"
func bodyAliasExpression(bodyJSONEnabled bool) string {
if !bodyJSONEnabled {
return logstelemetryschema.LogsV2BodyColumn
}
return fmt.Sprintf("%s as body", logstelemetryschema.LogsV2BodyV2Column)
}
type logQueryStatementBuilder struct {
logger *slog.Logger
metadataStore telemetrytypes.MetadataStore
fm qbtypes.FieldMapper
cb qbtypes.ConditionBuilder
resourceFilterResolver *resourcefilter.ResourceFingerprintResolver[qbtypes.LogAggregation]
resourceFilterResolver *telemetryresourcefilter.ResourceFingerprintResolver[qbtypes.LogAggregation]
aggExprRewriter qbtypes.AggExprRewriter
fl flagger.Flagger
skipResourceFingerprintEnabled bool
@@ -46,28 +34,6 @@ type logQueryStatementBuilder struct {
var _ qbtypes.StatementBuilder[qbtypes.LogAggregation] = (*logQueryStatementBuilder)(nil)
// NewFactory returns a provider factory for the logs statement builder. Its New
// internalizes the FieldMapper, ConditionBuilder, and AggExprRewriter, and reads
// SkipResourceFingerprint from the config.
func NewFactory(
telemetryStore telemetrystore.TelemetryStore,
metadataStore telemetrytypes.MetadataStore,
fl flagger.Flagger,
) factory.ProviderFactory[qbtypes.StatementBuilder[qbtypes.LogAggregation], statementbuilder.Config] {
return factory.NewProviderFactory(
factory.MustNewName("logs"),
func(_ context.Context, settings factory.ProviderSettings, cfg statementbuilder.Config) (qbtypes.StatementBuilder[qbtypes.LogAggregation], error) {
fm := logstelemetryschema.NewFieldMapper(fl)
cb := logstelemetryschema.NewConditionBuilder(fm, fl)
aggExprRewriter := querybuilder.NewAggExprRewriter(settings, logstelemetryschema.DefaultFullTextColumn, fm, cb, fl)
return NewLogQueryStatementBuilder(
settings, metadataStore, fm, cb, aggExprRewriter, logstelemetryschema.DefaultFullTextColumn,
fl, telemetryStore, cfg.SkipResourceFingerprint.Enabled, cfg.SkipResourceFingerprint.Threshold,
), nil
},
)
}
func NewLogQueryStatementBuilder(
settings factory.ProviderSettings,
metadataStore telemetrytypes.MetadataStore,
@@ -80,12 +46,12 @@ func NewLogQueryStatementBuilder(
skipResourceFingerprintEnable bool,
skipResourceFingerprintThreshold uint64,
) *logQueryStatementBuilder {
logsSettings := factory.NewScopedProviderSettings(settings, "github.com/SigNoz/signoz/pkg/telemetryschema/logstelemetryschema")
logsSettings := factory.NewScopedProviderSettings(settings, "github.com/SigNoz/signoz/pkg/telemetrylogs")
resourceFilterResolver := resourcefilter.NewResolver[qbtypes.LogAggregation](
resourceFilterResolver := telemetryresourcefilter.NewResolver[qbtypes.LogAggregation](
settings,
logstelemetryschema.DBName,
logstelemetryschema.LogsResourceV2TableName,
DBName,
LogsResourceV2TableName,
telemetrytypes.SignalLogs,
telemetrytypes.SourceUnspecified,
metadataStore,
@@ -208,7 +174,7 @@ func getKeySelectors(query qbtypes.QueryBuilderQuery[qbtypes.LogAggregation], bo
// TODO(Piyush): Setup better for coming FTS support.
if bodyJSONEnabled {
for _, sel := range keySelectors {
if sel.Name == logstelemetryschema.LogsV2BodyColumn {
if sel.Name == LogsV2BodyColumn {
warnings = append(warnings, bodySearchDefaultWarning)
break
}
@@ -284,8 +250,8 @@ func (b *logQueryStatementBuilder) adjustKeys(ctx context.Context, keys map[stri
func (b *logQueryStatementBuilder) adjustKey(key *telemetrytypes.TelemetryFieldKey, keys map[string][]*telemetrytypes.TelemetryFieldKey) []string {
// First check if it matches with any intrinsic fields
var intrinsicOrCalculatedField telemetrytypes.TelemetryFieldKey
if _, ok := logstelemetryschema.IntrinsicFields[key.Name]; ok {
intrinsicOrCalculatedField = logstelemetryschema.IntrinsicFields[key.Name]
if _, ok := IntrinsicFields[key.Name]; ok {
intrinsicOrCalculatedField = IntrinsicFields[key.Name]
return querybuilder.AdjustKey(key, keys, &intrinsicOrCalculatedField)
}
@@ -318,28 +284,28 @@ func (b *logQueryStatementBuilder) buildListQuery(
}
// Select timestamp and id by default
sb.Select(logstelemetryschema.LogsV2TimestampColumn)
sb.SelectMore(logstelemetryschema.LogsV2IDColumn)
sb.Select(LogsV2TimestampColumn)
sb.SelectMore(LogsV2IDColumn)
if len(query.SelectFields) == 0 {
// Select all default columns
sb.SelectMore(logstelemetryschema.LogsV2TraceIDColumn)
sb.SelectMore(logstelemetryschema.LogsV2SpanIDColumn)
sb.SelectMore(logstelemetryschema.LogsV2TraceFlagsColumn)
sb.SelectMore(logstelemetryschema.LogsV2SeverityTextColumn)
sb.SelectMore(logstelemetryschema.LogsV2SeverityNumberColumn)
sb.SelectMore(logstelemetryschema.LogsV2ScopeNameColumn)
sb.SelectMore(logstelemetryschema.LogsV2ScopeVersionColumn)
sb.SelectMore(LogsV2TraceIDColumn)
sb.SelectMore(LogsV2SpanIDColumn)
sb.SelectMore(LogsV2TraceFlagsColumn)
sb.SelectMore(LogsV2SeverityTextColumn)
sb.SelectMore(LogsV2SeverityNumberColumn)
sb.SelectMore(LogsV2ScopeNameColumn)
sb.SelectMore(LogsV2ScopeVersionColumn)
sb.SelectMore(bodyAliasExpression(b.fl.BooleanOrEmpty(ctx, flagger.FeatureUseJSONBody, featuretypes.NewFlaggerEvaluationContext(orgID))))
sb.SelectMore(logstelemetryschema.LogsV2AttributesStringColumn)
sb.SelectMore(logstelemetryschema.LogsV2AttributesNumberColumn)
sb.SelectMore(logstelemetryschema.LogsV2AttributesBoolColumn)
sb.SelectMore(logstelemetryschema.LogsV2ResourcesStringColumn)
sb.SelectMore(logstelemetryschema.LogsV2ScopeStringColumn)
sb.SelectMore(LogsV2AttributesStringColumn)
sb.SelectMore(LogsV2AttributesNumberColumn)
sb.SelectMore(LogsV2AttributesBoolColumn)
sb.SelectMore(LogsV2ResourcesStringColumn)
sb.SelectMore(LogsV2ScopeStringColumn)
} else {
// Select specified columns
for index := range query.SelectFields {
if query.SelectFields[index].Name == logstelemetryschema.LogsV2TimestampColumn || query.SelectFields[index].Name == logstelemetryschema.LogsV2IDColumn {
if query.SelectFields[index].Name == LogsV2TimestampColumn || query.SelectFields[index].Name == LogsV2IDColumn {
continue
}
@@ -352,7 +318,7 @@ func (b *logQueryStatementBuilder) buildListQuery(
}
}
sb.From(fmt.Sprintf("%s.%s", logstelemetryschema.DBName, logstelemetryschema.LogsV2TableName))
sb.From(fmt.Sprintf("%s.%s", DBName, LogsV2TableName))
// Add filter conditions
preparedWhereClause, err := b.addFilterCondition(ctx, orgID, sb, start, end, query, keys, variables, skipResourceFilter)
@@ -458,7 +424,7 @@ func (b *logQueryStatementBuilder) buildTimeSeriesQuery(
}
// Add FROM clause
sb.From(fmt.Sprintf("%s.%s", logstelemetryschema.DBName, logstelemetryschema.LogsV2TableName))
sb.From(fmt.Sprintf("%s.%s", DBName, LogsV2TableName))
preparedWhereClause, err := b.addFilterCondition(ctx, orgID, sb, start, end, query, keys, variables, skipResourceFilter)
@@ -626,7 +592,7 @@ func (b *logQueryStatementBuilder) buildScalarQuery(
}
}
sb.From(fmt.Sprintf("%s.%s", logstelemetryschema.DBName, logstelemetryschema.LogsV2TableName))
sb.From(fmt.Sprintf("%s.%s", DBName, LogsV2TableName))
// Add filter conditions
preparedWhereClause, err := b.addFilterCondition(ctx, orgID, sb, start, end, query, keys, variables, skipResourceFilter)

View File

@@ -1,4 +1,4 @@
package logstelemetryschema
package telemetrylogs
import (
"testing"

View File

@@ -1,4 +1,4 @@
package logsstatementbuilder
package telemetrylogs
import (
"context"
@@ -11,7 +11,6 @@ import (
"github.com/SigNoz/signoz/pkg/flagger/flaggertest"
"github.com/SigNoz/signoz/pkg/instrumentation/instrumentationtest"
"github.com/SigNoz/signoz/pkg/querybuilder"
"github.com/SigNoz/signoz/pkg/telemetryschema/logstelemetryschema"
"github.com/SigNoz/signoz/pkg/telemetrystore"
"github.com/SigNoz/signoz/pkg/telemetrystore/telemetrystoretest"
qbtypes "github.com/SigNoz/signoz/pkg/types/querybuildertypes/querybuildertypesv5"
@@ -213,12 +212,12 @@ func TestStatementBuilderTimeSeries(t *testing.T) {
fl := flaggertest.New(t)
mockMetadataStore := telemetrytypestest.NewMockMetadataStore()
keysMap := logstelemetryschema.BuildCompleteFieldKeyMap(releaseTime)
keysMap := buildCompleteFieldKeyMap(releaseTime)
mockMetadataStore.KeysMap = keysMap
fm := logstelemetryschema.NewFieldMapper(fl)
cb := logstelemetryschema.NewConditionBuilder(fm, fl)
fm := NewFieldMapper(fl)
cb := NewConditionBuilder(fm, fl)
aggExprRewriter := querybuilder.NewAggExprRewriter(instrumentationtest.New().ToProviderSettings(), nil, fm, cb, fl)
@@ -228,7 +227,7 @@ func TestStatementBuilderTimeSeries(t *testing.T) {
fm,
cb,
aggExprRewriter,
logstelemetryschema.DefaultFullTextColumn,
DefaultFullTextColumn,
fl,
nil,
false,
@@ -356,12 +355,12 @@ func TestStatementBuilderListQuery(t *testing.T) {
ctx := context.Background()
fl := flaggertest.New(t)
mockMetadataStore := telemetrytypestest.NewMockMetadataStore()
fm := logstelemetryschema.NewFieldMapper(fl)
fm := NewFieldMapper(fl)
// Create a test release time
releaseTime := time.Date(2024, 1, 15, 10, 0, 0, 0, time.UTC)
mockMetadataStore.KeysMap = logstelemetryschema.BuildCompleteFieldKeyMap(releaseTime)
cb := logstelemetryschema.NewConditionBuilder(fm, fl)
mockMetadataStore.KeysMap = buildCompleteFieldKeyMap(releaseTime)
cb := NewConditionBuilder(fm, fl)
aggExprRewriter := querybuilder.NewAggExprRewriter(instrumentationtest.New().ToProviderSettings(), nil, fm, cb, fl)
@@ -371,7 +370,7 @@ func TestStatementBuilderListQuery(t *testing.T) {
fm,
cb,
aggExprRewriter,
logstelemetryschema.DefaultFullTextColumn,
DefaultFullTextColumn,
fl,
nil,
false,
@@ -508,11 +507,11 @@ func TestStatementBuilderListQueryResourceTests(t *testing.T) {
ctx := context.Background()
fl := flaggertest.New(t)
mockMetadataStore := telemetrytypestest.NewMockMetadataStore()
fm := logstelemetryschema.NewFieldMapper(fl)
fm := NewFieldMapper(fl)
// Create a test release time
releaseTime := time.Date(2024, 1, 15, 10, 0, 0, 0, time.UTC)
mockMetadataStore.KeysMap = logstelemetryschema.BuildCompleteFieldKeyMap(releaseTime)
cb := logstelemetryschema.NewConditionBuilder(fm, fl)
mockMetadataStore.KeysMap = buildCompleteFieldKeyMap(releaseTime)
cb := NewConditionBuilder(fm, fl)
aggExprRewriter := querybuilder.NewAggExprRewriter(instrumentationtest.New().ToProviderSettings(), nil, fm, cb, fl)
@@ -522,7 +521,7 @@ func TestStatementBuilderListQueryResourceTests(t *testing.T) {
fm,
cb,
aggExprRewriter,
logstelemetryschema.DefaultFullTextColumn,
DefaultFullTextColumn,
fl,
nil,
false,
@@ -586,11 +585,11 @@ func TestStatementBuilderTimeSeriesBodyGroupBy(t *testing.T) {
ctx := context.Background()
fl := flaggertest.New(t)
mockMetadataStore := telemetrytypestest.NewMockMetadataStore()
fm := logstelemetryschema.NewFieldMapper(fl)
fm := NewFieldMapper(fl)
// Create a test release time
releaseTime := time.Date(2024, 1, 15, 10, 0, 0, 0, time.UTC)
mockMetadataStore.KeysMap = logstelemetryschema.BuildCompleteFieldKeyMap(releaseTime)
cb := logstelemetryschema.NewConditionBuilder(fm, fl)
mockMetadataStore.KeysMap = buildCompleteFieldKeyMap(releaseTime)
cb := NewConditionBuilder(fm, fl)
aggExprRewriter := querybuilder.NewAggExprRewriter(instrumentationtest.New().ToProviderSettings(), nil, fm, cb, fl)
@@ -600,7 +599,7 @@ func TestStatementBuilderTimeSeriesBodyGroupBy(t *testing.T) {
fm,
cb,
aggExprRewriter,
logstelemetryschema.DefaultFullTextColumn,
DefaultFullTextColumn,
fl,
nil,
false,
@@ -685,9 +684,9 @@ func TestStatementBuilderListQueryServiceCollision(t *testing.T) {
ctx := context.Background()
mockMetadataStore := telemetrytypestest.NewMockMetadataStore()
fl := flaggertest.New(t)
fm := logstelemetryschema.NewFieldMapper(fl)
mockMetadataStore.KeysMap = logstelemetryschema.BuildCompleteFieldKeyMapCollision()
cb := logstelemetryschema.NewConditionBuilder(fm, fl)
fm := NewFieldMapper(fl)
mockMetadataStore.KeysMap = buildCompleteFieldKeyMapCollision()
cb := NewConditionBuilder(fm, fl)
aggExprRewriter := querybuilder.NewAggExprRewriter(instrumentationtest.New().ToProviderSettings(), nil, fm, cb, fl)
@@ -697,7 +696,7 @@ func TestStatementBuilderListQueryServiceCollision(t *testing.T) {
fm,
cb,
aggExprRewriter,
logstelemetryschema.DefaultFullTextColumn,
DefaultFullTextColumn,
fl,
nil,
false,
@@ -741,8 +740,8 @@ func TestAdjustKey(t *testing.T) {
FieldContext: telemetrytypes.FieldContextUnspecified,
FieldDataType: telemetrytypes.FieldDataTypeUnspecified,
},
keysMap: logstelemetryschema.BuildCompleteFieldKeyMap(releaseTime),
expectedKey: logstelemetryschema.IntrinsicFields["severity_text"],
keysMap: buildCompleteFieldKeyMap(releaseTime),
expectedKey: IntrinsicFields["severity_text"],
},
{
name: "intrinsic field with other key match - no override",
@@ -778,7 +777,7 @@ func TestAdjustKey(t *testing.T) {
FieldContext: telemetrytypes.FieldContextBody,
FieldDataType: telemetrytypes.FieldDataTypeUnspecified,
},
keysMap: logstelemetryschema.BuildCompleteFieldKeyMap(releaseTime),
keysMap: buildCompleteFieldKeyMap(releaseTime),
expectedKey: telemetrytypes.TelemetryFieldKey{
Name: "severity_number",
FieldContext: telemetrytypes.FieldContextBody,
@@ -792,8 +791,8 @@ func TestAdjustKey(t *testing.T) {
FieldContext: telemetrytypes.FieldContextUnspecified,
FieldDataType: telemetrytypes.FieldDataTypeUnspecified,
},
keysMap: logstelemetryschema.BuildCompleteFieldKeyMap(releaseTime),
expectedKey: *logstelemetryschema.BuildCompleteFieldKeyMap(releaseTime)["service.name"][0],
keysMap: buildCompleteFieldKeyMap(releaseTime),
expectedKey: *buildCompleteFieldKeyMap(releaseTime)["service.name"][0],
},
{
name: "single matching key with incorrect context specified - no override",
@@ -802,7 +801,7 @@ func TestAdjustKey(t *testing.T) {
FieldContext: telemetrytypes.FieldContextAttribute,
FieldDataType: telemetrytypes.FieldDataTypeUnspecified,
},
keysMap: logstelemetryschema.BuildCompleteFieldKeyMap(releaseTime),
keysMap: buildCompleteFieldKeyMap(releaseTime),
expectedKey: telemetrytypes.TelemetryFieldKey{
Name: "service.name",
FieldContext: telemetrytypes.FieldContextAttribute,
@@ -816,8 +815,8 @@ func TestAdjustKey(t *testing.T) {
FieldContext: telemetrytypes.FieldContextUnspecified,
FieldDataType: telemetrytypes.FieldDataTypeUnspecified,
},
keysMap: logstelemetryschema.BuildCompleteFieldKeyMap(releaseTime),
expectedKey: *logstelemetryschema.BuildCompleteFieldKeyMap(releaseTime)["service.name"][0],
keysMap: buildCompleteFieldKeyMap(releaseTime),
expectedKey: *buildCompleteFieldKeyMap(releaseTime)["service.name"][0],
},
{
name: "multiple matching keys - all materialized",
@@ -826,7 +825,7 @@ func TestAdjustKey(t *testing.T) {
FieldContext: telemetrytypes.FieldContextUnspecified,
FieldDataType: telemetrytypes.FieldDataTypeUnspecified,
},
keysMap: logstelemetryschema.BuildCompleteFieldKeyMap(releaseTime),
keysMap: buildCompleteFieldKeyMap(releaseTime),
expectedKey: telemetrytypes.TelemetryFieldKey{
Name: "multi.mat.key",
FieldDataType: telemetrytypes.FieldDataTypeString,
@@ -840,7 +839,7 @@ func TestAdjustKey(t *testing.T) {
FieldContext: telemetrytypes.FieldContextUnspecified,
FieldDataType: telemetrytypes.FieldDataTypeUnspecified,
},
keysMap: logstelemetryschema.BuildCompleteFieldKeyMap(releaseTime),
keysMap: buildCompleteFieldKeyMap(releaseTime),
expectedKey: telemetrytypes.TelemetryFieldKey{
Name: "mixed.materialization.key",
FieldDataType: telemetrytypes.FieldDataTypeString,
@@ -854,8 +853,8 @@ func TestAdjustKey(t *testing.T) {
FieldContext: telemetrytypes.FieldContextAttribute,
FieldDataType: telemetrytypes.FieldDataTypeUnspecified,
},
keysMap: logstelemetryschema.BuildCompleteFieldKeyMap(releaseTime),
expectedKey: *logstelemetryschema.BuildCompleteFieldKeyMap(releaseTime)["mixed.materialization.key"][0],
keysMap: buildCompleteFieldKeyMap(releaseTime),
expectedKey: *buildCompleteFieldKeyMap(releaseTime)["mixed.materialization.key"][0],
},
{
name: "no matching keys - unknown field",
@@ -864,7 +863,7 @@ func TestAdjustKey(t *testing.T) {
FieldContext: telemetrytypes.FieldContextUnspecified,
FieldDataType: telemetrytypes.FieldDataTypeUnspecified,
},
keysMap: logstelemetryschema.BuildCompleteFieldKeyMap(releaseTime),
keysMap: buildCompleteFieldKeyMap(releaseTime),
expectedKey: telemetrytypes.TelemetryFieldKey{
Name: "unknown.field",
FieldContext: telemetrytypes.FieldContextUnspecified,
@@ -879,7 +878,7 @@ func TestAdjustKey(t *testing.T) {
FieldContext: telemetrytypes.FieldContextAttribute,
FieldDataType: telemetrytypes.FieldDataTypeUnspecified,
},
keysMap: logstelemetryschema.BuildCompleteFieldKeyMap(releaseTime),
keysMap: buildCompleteFieldKeyMap(releaseTime),
expectedKey: telemetrytypes.TelemetryFieldKey{
Name: "unknown.field",
FieldContext: telemetrytypes.FieldContextAttribute,
@@ -894,8 +893,8 @@ func TestAdjustKey(t *testing.T) {
FieldContext: telemetrytypes.FieldContextUnspecified,
FieldDataType: telemetrytypes.FieldDataTypeUnspecified,
},
keysMap: logstelemetryschema.BuildCompleteFieldKeyMap(releaseTime),
expectedKey: *logstelemetryschema.BuildCompleteFieldKeyMap(releaseTime)["mat.key"][0],
keysMap: buildCompleteFieldKeyMap(releaseTime),
expectedKey: *buildCompleteFieldKeyMap(releaseTime)["mat.key"][0],
},
{
name: "non-materialized field",
@@ -904,16 +903,16 @@ func TestAdjustKey(t *testing.T) {
FieldContext: telemetrytypes.FieldContextUnspecified,
FieldDataType: telemetrytypes.FieldDataTypeUnspecified,
},
keysMap: logstelemetryschema.BuildCompleteFieldKeyMap(releaseTime),
expectedKey: *logstelemetryschema.BuildCompleteFieldKeyMap(releaseTime)["user.id"][0],
keysMap: buildCompleteFieldKeyMap(releaseTime),
expectedKey: *buildCompleteFieldKeyMap(releaseTime)["user.id"][0],
},
}
fl := flaggertest.New(t)
fm := logstelemetryschema.NewFieldMapper(fl)
fm := NewFieldMapper(fl)
mockMetadataStore := telemetrytypestest.NewMockMetadataStore()
mockMetadataStore.KeysMap = logstelemetryschema.BuildCompleteFieldKeyMapCollision()
cb := logstelemetryschema.NewConditionBuilder(fm, fl)
mockMetadataStore.KeysMap = buildCompleteFieldKeyMapCollision()
cb := NewConditionBuilder(fm, fl)
aggExprRewriter := querybuilder.NewAggExprRewriter(instrumentationtest.New().ToProviderSettings(), nil, fm, cb, fl)
@@ -923,7 +922,7 @@ func TestAdjustKey(t *testing.T) {
fm,
cb,
aggExprRewriter,
logstelemetryschema.DefaultFullTextColumn,
DefaultFullTextColumn,
fl,
nil,
false,
@@ -1055,11 +1054,11 @@ func TestStmtBuilderBodyField(t *testing.T) {
for _, c := range cases {
t.Run(c.name, func(t *testing.T) {
fl := flaggertest.WithUseJSONBody(t, c.enableUseJSONBody)
fm := logstelemetryschema.NewFieldMapper(fl)
cb := logstelemetryschema.NewConditionBuilder(fm, fl)
fm := NewFieldMapper(fl)
cb := NewConditionBuilder(fm, fl)
// build the key map
mockMetadataStore := telemetrytypestest.NewMockMetadataStore()
for _, field := range logstelemetryschema.IntrinsicFields {
for _, field := range IntrinsicFields {
f := field
mockMetadataStore.KeysMap[field.Name] = append(mockMetadataStore.KeysMap[field.Name], &f)
}
@@ -1070,7 +1069,7 @@ func TestStmtBuilderBodyField(t *testing.T) {
fm,
cb,
aggExprRewriter,
logstelemetryschema.DefaultFullTextColumn,
DefaultFullTextColumn,
fl,
nil,
false,
@@ -1156,11 +1155,11 @@ func TestStmtBuilderBodyFullTextSearch(t *testing.T) {
for _, c := range cases {
t.Run(c.name, func(t *testing.T) {
fl := flaggertest.WithUseJSONBody(t, c.enableUseJSONBody)
fm := logstelemetryschema.NewFieldMapper(fl)
cb := logstelemetryschema.NewConditionBuilder(fm, fl)
fm := NewFieldMapper(fl)
cb := NewConditionBuilder(fm, fl)
// build the key map
mockMetadataStore := telemetrytypestest.NewMockMetadataStore()
for _, field := range logstelemetryschema.IntrinsicFields {
for _, field := range IntrinsicFields {
f := field
mockMetadataStore.KeysMap[field.Name] = append(mockMetadataStore.KeysMap[field.Name], &f)
}
@@ -1171,7 +1170,7 @@ func TestStmtBuilderBodyFullTextSearch(t *testing.T) {
fm,
cb,
aggExprRewriter,
logstelemetryschema.DefaultFullTextColumn,
DefaultFullTextColumn,
fl,
nil,
false,
@@ -1274,14 +1273,14 @@ func newSkipResourceFingerprintLogsBuilder(
t.Helper()
fl := flaggertest.New(t)
fm := logstelemetryschema.NewFieldMapper(fl)
cb := logstelemetryschema.NewConditionBuilder(fm, fl)
fm := NewFieldMapper(fl)
cb := NewConditionBuilder(fm, fl)
mockMetadataStore := telemetrytypestest.NewMockMetadataStore()
mockMetadataStore.KeysMap = logstelemetryschema.BuildCompleteFieldKeyMap(time.Date(2024, 1, 15, 10, 0, 0, 0, time.UTC))
mockMetadataStore.KeysMap = buildCompleteFieldKeyMap(time.Date(2024, 1, 15, 10, 0, 0, 0, time.UTC))
aggExprRewriter := querybuilder.NewAggExprRewriter(
instrumentationtest.New().ToProviderSettings(),
logstelemetryschema.DefaultFullTextColumn,
DefaultFullTextColumn,
fm,
cb,
fl,
@@ -1293,7 +1292,7 @@ func newSkipResourceFingerprintLogsBuilder(
fm,
cb,
aggExprRewriter,
logstelemetryschema.DefaultFullTextColumn,
DefaultFullTextColumn,
fl,
telemetryStore,
skipEnable,

View File

@@ -0,0 +1,15 @@
package telemetrylogs
const (
DBName = "signoz_logs"
LogsV2TableName = "distributed_logs_v2"
LogsV2LocalTableName = "logs_v2"
TagAttributesV2TableName = "distributed_tag_attributes_v2"
TagAttributesV2LocalTableName = "tag_attributes_v2"
LogAttributeKeysTblName = "distributed_logs_attribute_keys"
LogResourceKeysTblName = "distributed_logs_resource_keys"
LogsResourceV2TableName = "distributed_logs_v2_resource"
PathTypesTableName = "distributed_json_path_types"
PromotedPathsTableName = "distributed_json_promoted_paths"
SkipIndexTableName = "system.data_skipping_indices"
)

View File

@@ -1,4 +1,4 @@
package logstelemetryschema
package telemetrylogs
import (
"strings"
@@ -19,7 +19,7 @@ func limitString(s string, maxLen int) string {
}
// Function to build a complete field key map for testing all scenarios.
func BuildCompleteFieldKeyMap(releaseTime time.Time) map[string][]*telemetrytypes.TelemetryFieldKey {
func buildCompleteFieldKeyMap(releaseTime time.Time) map[string][]*telemetrytypes.TelemetryFieldKey {
keysMap := map[string][]*telemetrytypes.TelemetryFieldKey{
"service.name": {
{
@@ -953,7 +953,7 @@ func BuildCompleteFieldKeyMap(releaseTime time.Time) map[string][]*telemetrytype
return keysMap
}
func BuildCompleteFieldKeyMapCollision() map[string][]*telemetrytypes.TelemetryFieldKey {
func buildCompleteFieldKeyMapCollision() map[string][]*telemetrytypes.TelemetryFieldKey {
keysMap := map[string][]*telemetrytypes.TelemetryFieldKey{
"service.name": {
{

View File

@@ -13,7 +13,7 @@ import (
"github.com/SigNoz/signoz-otel-collector/constants"
"github.com/SigNoz/signoz/pkg/errors"
"github.com/SigNoz/signoz/pkg/querybuilder"
"github.com/SigNoz/signoz/pkg/telemetryschema/logstelemetryschema"
"github.com/SigNoz/signoz/pkg/telemetrylogs"
"github.com/SigNoz/signoz/pkg/types/ctxtypes"
"github.com/SigNoz/signoz/pkg/types/instrumentationtypes"
"github.com/SigNoz/signoz/pkg/types/telemetrytypes"
@@ -139,8 +139,8 @@ func buildListLogsJSONIndexesQuery(cluster string, filters ...string) (string, [
"name", "type_full", "expr", "granularity",
).From(fmt.Sprintf("clusterAllReplicas('%s', %s)", cluster, SkipIndexTableName))
sb.Where(sb.Equal("database", logstelemetryschema.DBName))
sb.Where(sb.Equal("table", logstelemetryschema.LogsV2LocalTableName))
sb.Where(sb.Equal("database", telemetrylogs.DBName))
sb.Where(sb.Equal("table", telemetrylogs.LogsV2LocalTableName))
sb.Where(sb.Or(
sb.ILike("expr", fmt.Sprintf("%%%s%%", querybuilder.FormatValueForContains(constants.BodyV2ColumnPrefix))),
sb.ILike("expr", fmt.Sprintf("%%%s%%", querybuilder.FormatValueForContains(constants.BodyPromotedColumnPrefix))),
@@ -189,12 +189,12 @@ func (t *telemetryMetaStore) ListLogsJSONIndexes(ctx context.Context, filters ..
baseColumn := ""
fieldName := ""
switch {
case strings.HasPrefix(columnExpr, logstelemetryschema.BodyV2ColumnPrefix):
baseColumn = logstelemetryschema.BodyV2ColumnPrefix
fieldName = strings.TrimPrefix(columnExpr, logstelemetryschema.BodyV2ColumnPrefix)
case strings.HasPrefix(columnExpr, logstelemetryschema.BodyPromotedColumnPrefix):
baseColumn = logstelemetryschema.BodyPromotedColumnPrefix
fieldName = strings.TrimPrefix(columnExpr, logstelemetryschema.BodyPromotedColumnPrefix)
case strings.HasPrefix(columnExpr, telemetrylogs.BodyV2ColumnPrefix):
baseColumn = telemetrylogs.BodyV2ColumnPrefix
fieldName = strings.TrimPrefix(columnExpr, telemetrylogs.BodyV2ColumnPrefix)
case strings.HasPrefix(columnExpr, telemetrylogs.BodyPromotedColumnPrefix):
baseColumn = telemetrylogs.BodyPromotedColumnPrefix
fieldName = strings.TrimPrefix(columnExpr, telemetrylogs.BodyPromotedColumnPrefix)
}
fieldName = strings.ReplaceAll(fieldName, "`", "")
@@ -228,12 +228,12 @@ func (t *telemetryMetaStore) ListJSONValues(ctx context.Context, path string, li
}
if promoted {
path = logstelemetryschema.BodyPromotedColumnPrefix + path
path = telemetrylogs.BodyPromotedColumnPrefix + path
} else {
path = logstelemetryschema.BodyV2ColumnPrefix + path
path = telemetrylogs.BodyV2ColumnPrefix + path
}
from := fmt.Sprintf("%s.%s", logstelemetryschema.DBName, logstelemetryschema.LogsV2TableName)
from := fmt.Sprintf("%s.%s", telemetrylogs.DBName, telemetrylogs.LogsV2TableName)
colExpr := func(typ telemetrytypes.JSONDataType) string {
return fmt.Sprintf("dynamicElement(%s, '%s')", path, typ.StringValue())
}
@@ -382,7 +382,7 @@ func (t *telemetryMetaStore) IsPathPromoted(ctx context.Context, path string) (b
split := strings.Split(path, telemetrytypes.ArraySep)
pathSegment := split[0]
query := fmt.Sprintf("SELECT 1 FROM %s.%s WHERE signal = ? AND column_name = ? AND field_context = ? AND field_name = ? LIMIT 1", DBName, PromotedPathsTableName)
rows, err := t.telemetrystore.ClickhouseDB().Query(ctx, query, telemetrytypes.SignalLogs, logstelemetryschema.LogsV2BodyPromotedColumn, telemetrytypes.FieldContextBody, pathSegment)
rows, err := t.telemetrystore.ClickhouseDB().Query(ctx, query, telemetrytypes.SignalLogs, telemetrylogs.LogsV2BodyPromotedColumn, telemetrytypes.FieldContextBody, pathSegment)
if err != nil {
return false, errors.WrapInternalf(err, CodeFailCheckPathPromoted, "failed to check if path %s is promoted", path)
}
@@ -397,7 +397,7 @@ func (t *telemetryMetaStore) GetPromotedPaths(ctx context.Context, paths ...stri
sb := sqlbuilder.Select("field_name").From(fmt.Sprintf("%s.%s", DBName, PromotedPathsTableName))
conditions := []string{
sb.Equal("signal", telemetrytypes.SignalLogs),
sb.Equal("column_name", logstelemetryschema.LogsV2BodyPromotedColumn),
sb.Equal("column_name", telemetrylogs.LogsV2BodyPromotedColumn),
sb.Equal("field_context", telemetrytypes.FieldContextBody),
sb.NotEqual("field_name", "__all__"),
}
@@ -433,8 +433,8 @@ func (t *telemetryMetaStore) GetPromotedPaths(ctx context.Context, paths ...stri
// TODO(Piyush): Remove this function.
func CleanPathPrefixes(path string) string {
path = strings.TrimPrefix(path, telemetrytypes.BodyJSONStringSearchPrefix)
path = strings.TrimPrefix(path, logstelemetryschema.BodyV2ColumnPrefix)
path = strings.TrimPrefix(path, logstelemetryschema.BodyPromotedColumnPrefix)
path = strings.TrimPrefix(path, telemetrylogs.BodyV2ColumnPrefix)
path = strings.TrimPrefix(path, telemetrylogs.BodyPromotedColumnPrefix)
return path
}
@@ -454,7 +454,7 @@ func (t *telemetryMetaStore) PromotePaths(ctx context.Context, paths ...string)
if trimmed == "" {
continue
}
if err := batch.Append(telemetrytypes.SignalLogs, logstelemetryschema.LogsV2BodyPromotedColumn, "JSON()", telemetrytypes.FieldContextBody, trimmed, 0, releaseTime); err != nil {
if err := batch.Append(telemetrytypes.SignalLogs, telemetrylogs.LogsV2BodyPromotedColumn, "JSON()", telemetrytypes.FieldContextBody, trimmed, 0, releaseTime); err != nil {
_ = batch.Abort()
return errors.WrapInternalf(err, CodeFailedToAppendPath, "failed to append path")
}

View File

@@ -6,7 +6,7 @@ import (
"github.com/SigNoz/signoz-otel-collector/constants"
"github.com/SigNoz/signoz/pkg/querybuilder"
"github.com/SigNoz/signoz/pkg/telemetryschema/logstelemetryschema"
"github.com/SigNoz/signoz/pkg/telemetrylogs"
"github.com/stretchr/testify/require"
)
@@ -25,8 +25,8 @@ func TestBuildListLogsJSONIndexesQuery(t *testing.T) {
expectedSQL: "SELECT name, type_full, expr, granularity FROM clusterAllReplicas('test-cluster', system.data_skipping_indices) " +
"WHERE database = ? AND table = ? AND (LOWER(expr) LIKE LOWER(?) OR LOWER(expr) LIKE LOWER(?))",
expectedArgs: []any{
logstelemetryschema.DBName,
logstelemetryschema.LogsV2LocalTableName,
telemetrylogs.DBName,
telemetrylogs.LogsV2LocalTableName,
fmt.Sprintf("%%%s%%", querybuilder.FormatValueForContains(constants.BodyV2ColumnPrefix)),
fmt.Sprintf("%%%s%%", querybuilder.FormatValueForContains(constants.BodyPromotedColumnPrefix)),
},
@@ -38,8 +38,8 @@ func TestBuildListLogsJSONIndexesQuery(t *testing.T) {
expectedSQL: "SELECT name, type_full, expr, granularity FROM clusterAllReplicas('test-cluster', system.data_skipping_indices) " +
"WHERE database = ? AND table = ? AND (LOWER(expr) LIKE LOWER(?) OR LOWER(expr) LIKE LOWER(?)) AND (LOWER(replaceAll(expr, '`', '')) LIKE LOWER(?) OR LOWER(replaceAll(expr, '`', '')) LIKE LOWER(?))",
expectedArgs: []any{
logstelemetryschema.DBName,
logstelemetryschema.LogsV2LocalTableName,
telemetrylogs.DBName,
telemetrylogs.LogsV2LocalTableName,
fmt.Sprintf("%%%s%%", querybuilder.FormatValueForContains(constants.BodyV2ColumnPrefix)),
fmt.Sprintf("%%%s%%", querybuilder.FormatValueForContains(constants.BodyPromotedColumnPrefix)),
fmt.Sprintf("%%%s%%", querybuilder.FormatValueForContains("foo")),

View File

@@ -14,12 +14,11 @@ import (
"github.com/SigNoz/signoz/pkg/factory"
"github.com/SigNoz/signoz/pkg/flagger"
"github.com/SigNoz/signoz/pkg/querybuilder"
"github.com/SigNoz/signoz/pkg/telemetryschema/audittelemetryschema"
"github.com/SigNoz/signoz/pkg/telemetryschema/logstelemetryschema"
"github.com/SigNoz/signoz/pkg/telemetryschema/metertelemetryschema"
"github.com/SigNoz/signoz/pkg/telemetryschema/metricstelemetryschema"
"github.com/SigNoz/signoz/pkg/telemetryschema/tracestelemetryschema"
"github.com/SigNoz/signoz/pkg/telemetryaudit"
"github.com/SigNoz/signoz/pkg/telemetrylogs"
"github.com/SigNoz/signoz/pkg/telemetrymetrics"
"github.com/SigNoz/signoz/pkg/telemetrystore"
"github.com/SigNoz/signoz/pkg/telemetrytraces"
"github.com/SigNoz/signoz/pkg/types/ctxtypes"
"github.com/SigNoz/signoz/pkg/types/featuretypes"
"github.com/SigNoz/signoz/pkg/types/instrumentationtypes"
@@ -78,6 +77,27 @@ func escapeForLike(s string) string {
func NewTelemetryMetaStore(
settings factory.ProviderSettings,
telemetrystore telemetrystore.TelemetryStore,
tracesDBName string,
tracesFieldsTblName string,
spanAttributesKeysTblName string,
indexV3TblName string,
metricsDBName string,
metricsFieldsTblName string,
meterDBName string,
meterFieldsTblName string,
logsDBName string,
logsV2TblName string,
logsFieldsTblName string,
logAttributeKeysTblName string,
logResourceKeysTblName string,
auditDBName string,
auditLogsTblName string,
auditFieldsTblName string,
auditAttributeKeysTblName string,
auditResourceKeysTblName string,
relatedMetadataDBName string,
relatedMetadataTblName string,
columnEvolutionMetadataTblName string,
fl flagger.Flagger,
) telemetrytypes.MetadataStore {
metadataSettings := factory.NewScopedProviderSettings(settings, "github.com/SigNoz/signoz/pkg/telemetrymetadata")
@@ -88,32 +108,32 @@ func NewTelemetryMetaStore(
t := &telemetryMetaStore{
logger: metadataSettings.Logger(),
telemetrystore: telemetrystore,
tracesDBName: tracestelemetryschema.DBName,
tracesFieldsTblName: tracestelemetryschema.TagAttributesV2TableName,
spanAttributesKeysTblName: tracestelemetryschema.SpanAttributesKeysTblName,
indexV3TblName: tracestelemetryschema.SpanIndexV3TableName,
metricsDBName: metricstelemetryschema.DBName,
metricsFieldsTblName: metricstelemetryschema.AttributesMetadataTableName,
meterDBName: metertelemetryschema.DBName,
meterFieldsTblName: metertelemetryschema.SamplesAgg1dTableName,
logsDBName: logstelemetryschema.DBName,
logsV2TblName: logstelemetryschema.LogsV2TableName,
logsFieldsTblName: logstelemetryschema.TagAttributesV2TableName,
logAttributeKeysTblName: logstelemetryschema.LogAttributeKeysTblName,
logResourceKeysTblName: logstelemetryschema.LogResourceKeysTblName,
auditDBName: audittelemetryschema.DBName,
auditLogsTblName: audittelemetryschema.AuditLogsTableName,
auditFieldsTblName: audittelemetryschema.TagAttributesTableName,
auditAttributeKeysTblName: audittelemetryschema.LogAttributeKeysTblName,
auditResourceKeysTblName: audittelemetryschema.LogResourceKeysTblName,
relatedMetadataDBName: DBName,
relatedMetadataTblName: AttributesMetadataTableName,
columnEvolutionMetadataTblName: ColumnEvolutionMetadataTableName,
tracesDBName: tracesDBName,
tracesFieldsTblName: tracesFieldsTblName,
spanAttributesKeysTblName: spanAttributesKeysTblName,
indexV3TblName: indexV3TblName,
metricsDBName: metricsDBName,
metricsFieldsTblName: metricsFieldsTblName,
meterDBName: meterDBName,
meterFieldsTblName: meterFieldsTblName,
logsDBName: logsDBName,
logsV2TblName: logsV2TblName,
logsFieldsTblName: logsFieldsTblName,
logAttributeKeysTblName: logAttributeKeysTblName,
logResourceKeysTblName: logResourceKeysTblName,
auditDBName: auditDBName,
auditLogsTblName: auditLogsTblName,
auditFieldsTblName: auditFieldsTblName,
auditAttributeKeysTblName: auditAttributeKeysTblName,
auditResourceKeysTblName: auditResourceKeysTblName,
relatedMetadataDBName: relatedMetadataDBName,
relatedMetadataTblName: relatedMetadataTblName,
columnEvolutionMetadataTblName: columnEvolutionMetadataTblName,
jsonColumnMetadata: map[telemetrytypes.Signal]map[telemetrytypes.FieldContext]telemetrytypes.JSONColumnMetadata{
telemetrytypes.SignalLogs: {
telemetrytypes.FieldContextBody: telemetrytypes.JSONColumnMetadata{
BaseColumn: logstelemetryschema.LogsV2BodyV2Column,
PromotedColumn: logstelemetryschema.LogsV2BodyPromotedColumn,
BaseColumn: telemetrylogs.LogsV2BodyV2Column,
PromotedColumn: telemetrylogs.LogsV2BodyPromotedColumn,
},
},
},
@@ -289,8 +309,8 @@ func (t *telemetryMetaStore) getTracesKeys(ctx context.Context, fieldKeySelector
complete := rowCount <= limit
staticKeys := []string{"isRoot", "isEntryPoint"}
staticKeys = append(staticKeys, maps.Keys(tracestelemetryschema.IntrinsicFields)...)
staticKeys = append(staticKeys, maps.Keys(tracestelemetryschema.CalculatedFields)...)
staticKeys = append(staticKeys, maps.Keys(telemetrytraces.IntrinsicFields)...)
staticKeys = append(staticKeys, maps.Keys(telemetrytraces.CalculatedFields)...)
// Add matching intrinsic and matching calculated fields
// These don't count towards the limit
@@ -304,14 +324,14 @@ func (t *telemetryMetaStore) getTracesKeys(ctx context.Context, fieldKeySelector
}
if found {
if field, exists := tracestelemetryschema.IntrinsicFields[key]; exists {
if field, exists := telemetrytraces.IntrinsicFields[key]; exists {
if _, added := mapOfKeys[field.Name+";"+field.FieldContext.StringValue()+";"+field.FieldDataType.StringValue()]; !added {
keys = append(keys, &field)
}
continue
}
if field, exists := tracestelemetryschema.CalculatedFields[key]; exists {
if field, exists := telemetrytraces.CalculatedFields[key]; exists {
if _, added := mapOfKeys[field.Name+";"+field.FieldContext.StringValue()+";"+field.FieldDataType.StringValue()]; !added {
keys = append(keys, &field)
}
@@ -636,7 +656,7 @@ func (t *telemetryMetaStore) getLogsKeys(ctx context.Context, orgID valuer.UUID,
complete := rowCount <= limit
staticKeys := []string{}
staticKeys = append(staticKeys, maps.Keys(logstelemetryschema.IntrinsicFields)...)
staticKeys = append(staticKeys, maps.Keys(telemetrylogs.IntrinsicFields)...)
// Add matching intrinsic and matching calculated fields
// These don't count towards the limit
@@ -650,7 +670,7 @@ func (t *telemetryMetaStore) getLogsKeys(ctx context.Context, orgID valuer.UUID,
}
if found {
if field, exists := logstelemetryschema.IntrinsicFields[key]; exists {
if field, exists := telemetrylogs.IntrinsicFields[key]; exists {
if _, added := mapOfKeys[field.Name+";"+field.FieldContext.StringValue()+";"+field.FieldDataType.StringValue()]; !added {
keys = append(keys, &field)
}
@@ -878,7 +898,7 @@ func (t *telemetryMetaStore) getAuditKeys(ctx context.Context, fieldKeySelectors
complete := rowCount <= limit
// Add intrinsic audit fields (same as logs intrinsics: body, severity_text, etc.)
staticKeys := maps.Keys(audittelemetryschema.IntrinsicFields)
staticKeys := maps.Keys(telemetryaudit.IntrinsicFields)
for _, key := range staticKeys {
found := false
for _, v := range searchTexts {
@@ -889,7 +909,7 @@ func (t *telemetryMetaStore) getAuditKeys(ctx context.Context, fieldKeySelectors
}
if found {
if field, exists := audittelemetryschema.IntrinsicFields[key]; exists {
if field, exists := telemetryaudit.IntrinsicFields[key]; exists {
if _, added := mapOfKeys[field.Name+";"+field.FieldContext.StringValue()+";"+field.FieldDataType.StringValue()]; !added {
keys = append(keys, &field)
}
@@ -1156,7 +1176,7 @@ func enrichWithIntrinsicMetricKeys(keys map[string][]*telemetrytypes.TelemetryFi
continue
}
for name, key := range metricstelemetryschema.IntrinsicMetricFieldDefinitions {
for name, key := range telemetrymetrics.IntrinsicMetricFieldDefinitions {
if !selectorMatchesIntrinsicField(selector, key) {
continue
}
@@ -1168,27 +1188,6 @@ func enrichWithIntrinsicMetricKeys(keys map[string][]*telemetrytypes.TelemetryFi
return keys
}
// enrichWithGenAIKeys adds keys that can be queried for GenAI signals, even though they have not been ingested yet.
func enrichWithGenAIKeys(keys map[string][]*telemetrytypes.TelemetryFieldKey, selectors []*telemetrytypes.FieldKeySelector) map[string][]*telemetrytypes.TelemetryFieldKey {
for _, selector := range selectors {
if selector.Signal != telemetrytypes.SignalTraces && selector.Signal != telemetrytypes.SignalUnspecified {
continue
}
for name, def := range telemetrytypes.GenAIFieldDefinitions {
if len(keys[name]) > 0 {
continue // already resolved from ingested data
}
if !selectorMatchesIntrinsicField(selector, def) {
continue
}
keyCopy := def
keys[name] = []*telemetrytypes.TelemetryFieldKey{&keyCopy}
}
}
return keys
}
func selectorMatchesIntrinsicField(selector *telemetrytypes.FieldKeySelector, definition telemetrytypes.TelemetryFieldKey) bool {
if selector.FieldContext != telemetrytypes.FieldContextUnspecified && selector.FieldContext != definition.FieldContext {
return false
@@ -1274,9 +1273,6 @@ func (t *telemetryMetaStore) GetKeys(ctx context.Context, orgID valuer.UUID, fie
applyBackwardCompatibleKeys(mapOfKeys)
mapOfKeys = enrichWithIntrinsicMetricKeys(mapOfKeys, selectors)
if t.fl.BooleanOrEmpty(ctx, flagger.FeatureEnableAIObservability, featuretypes.NewFlaggerEvaluationContext(orgID)) {
mapOfKeys = enrichWithGenAIKeys(mapOfKeys, selectors)
}
return mapOfKeys, complete, nil
}
@@ -1355,9 +1351,6 @@ func (t *telemetryMetaStore) GetKeysMulti(ctx context.Context, orgID valuer.UUID
applyBackwardCompatibleKeys(mapOfKeys)
mapOfKeys = enrichWithIntrinsicMetricKeys(mapOfKeys, fieldKeySelectors)
if t.fl.BooleanOrEmpty(ctx, flagger.FeatureEnableAIObservability, featuretypes.NewFlaggerEvaluationContext(orgID)) {
mapOfKeys = enrichWithGenAIKeys(mapOfKeys, fieldKeySelectors)
}
return mapOfKeys, complete, nil
}
@@ -1899,7 +1892,7 @@ func (t *telemetryMetaStore) getIntrinsicMetricFieldValues(ctx context.Context,
instrumentationtypes.CodeNamespace: "metadata",
instrumentationtypes.CodeFunctionName: "getIntrinsicMetricFieldValues",
})
key, ok := metricstelemetryschema.IntrinsicMetricFieldDefinitions[fieldValueSelector.Name]
key, ok := telemetrymetrics.IntrinsicMetricFieldDefinitions[fieldValueSelector.Name]
if !ok {
return &telemetrytypes.TelemetryFieldValues{}, nil
}
@@ -1929,18 +1922,18 @@ func (t *telemetryMetaStore) getIntrinsicMetricFieldValues(ctx context.Context,
tableName string
extraConds []string
}{
{metricstelemetryschema.TimeseriesV41weekTableName, nil},
{telemetrymetrics.TimeseriesV41weekTableName, nil},
}
if reductionEnabled {
sources = append(sources,
struct {
tableName string
extraConds []string
}{metricstelemetryschema.TimeseriesV4BufferTableName, []string{"is_reduced = false"}},
}{telemetrymetrics.TimeseriesV4BufferTableName, []string{"is_reduced = false"}},
struct {
tableName string
extraConds []string
}{metricstelemetryschema.TimeseriesV4ReducedTableName, nil},
}{telemetrymetrics.TimeseriesV4ReducedTableName, nil},
)
}
@@ -2269,7 +2262,7 @@ func (t *telemetryMetaStore) fetchMetricsTemporalityAndType(ctx context.Context,
instrumentationtypes.CodeNamespace: "metadata",
instrumentationtypes.CodeFunctionName: "fetchMetricsTemporalityAndType",
})
adjustedStartTs, adjustedEndTs, tsTableName, _ := metricstelemetryschema.WhichTSTableToUse(queryTimeRangeStartTs, queryTimeRangeEndTs, false, nil)
adjustedStartTs, adjustedEndTs, tsTableName, _ := telemetrymetrics.WhichTSTableToUse(queryTimeRangeStartTs, queryTimeRangeEndTs, false, nil)
temporalities, types, err := t.fetchTemporalityTypeForTable(ctx, tsTableName, adjustedStartTs, adjustedEndTs, metricNames)
if err != nil {
@@ -2278,7 +2271,7 @@ func (t *telemetryMetaStore) fetchMetricsTemporalityAndType(ctx context.Context,
reduced := make(map[string]bool)
if reductionEnabled {
bufferTemporalities, bufferTypes, err := t.fetchTemporalityTypeForTable(ctx, metricstelemetryschema.TimeseriesV4BufferTableName, adjustedStartTs, adjustedEndTs, metricNames, "is_reduced = false")
bufferTemporalities, bufferTypes, err := t.fetchTemporalityTypeForTable(ctx, telemetrymetrics.TimeseriesV4BufferTableName, adjustedStartTs, adjustedEndTs, metricNames, "is_reduced = false")
if err != nil {
return nil, nil, nil, err
}
@@ -2291,7 +2284,7 @@ func (t *telemetryMetaStore) fetchMetricsTemporalityAndType(ctx context.Context,
}
}
reducedTemporalities, reducedTypes, err := t.fetchTemporalityTypeForTable(ctx, metricstelemetryschema.TimeseriesV4ReducedTableName, adjustedStartTs, adjustedEndTs, metricNames)
reducedTemporalities, reducedTypes, err := t.fetchTemporalityTypeForTable(ctx, telemetrymetrics.TimeseriesV4ReducedTableName, adjustedStartTs, adjustedEndTs, metricNames)
if err != nil {
return nil, nil, nil, err
}
@@ -2623,13 +2616,13 @@ func (t *telemetryMetaStore) GetFirstSeenFromMetricMetadata(ctx context.Context,
}
func (t *telemetryMetaStore) FetchLastSeenInfoMulti(ctx context.Context, orgID valuer.UUID, metricNames ...string) (map[string]int64, error) {
lastSeenInfo, err := t.fetchLastSeenInfoForTable(ctx, metricstelemetryschema.TimeseriesV4TableName, metricNames)
lastSeenInfo, err := t.fetchLastSeenInfoForTable(ctx, telemetrymetrics.TimeseriesV4TableName, metricNames)
if err != nil {
return nil, err
}
if t.fl.BooleanOrEmpty(ctx, flagger.FeatureEnableMetricsReduction, featuretypes.NewFlaggerEvaluationContext(orgID)) {
reducedLastSeen, err := t.fetchLastSeenInfoForTable(ctx, metricstelemetryschema.TimeseriesV4ReducedTableName, metricNames)
reducedLastSeen, err := t.fetchLastSeenInfoForTable(ctx, telemetrymetrics.TimeseriesV4ReducedTableName, metricNames)
if err != nil {
return nil, err
}

View File

@@ -9,8 +9,13 @@ import (
"github.com/SigNoz/signoz/pkg/errors"
"github.com/SigNoz/signoz/pkg/flagger/flaggertest"
"github.com/SigNoz/signoz/pkg/instrumentation/instrumentationtest"
"github.com/SigNoz/signoz/pkg/telemetryaudit"
"github.com/SigNoz/signoz/pkg/telemetrylogs"
"github.com/SigNoz/signoz/pkg/telemetrymeter"
"github.com/SigNoz/signoz/pkg/telemetrymetrics"
"github.com/SigNoz/signoz/pkg/telemetrystore"
"github.com/SigNoz/signoz/pkg/telemetrystore/telemetrystoretest"
"github.com/SigNoz/signoz/pkg/telemetrytraces"
"github.com/SigNoz/signoz/pkg/types/telemetrytypes"
"github.com/stretchr/testify/assert"
"github.com/stretchr/testify/require"
@@ -37,6 +42,27 @@ func TestGetFirstSeenFromMetricMetadata(t *testing.T) {
metadata := NewTelemetryMetaStore(
instrumentationtest.New().ToProviderSettings(),
mockTelemetryStore,
telemetrytraces.DBName,
telemetrytraces.TagAttributesV2TableName,
telemetrytraces.SpanAttributesKeysTblName,
telemetrytraces.SpanIndexV3TableName,
telemetrymetrics.DBName,
telemetrymetrics.AttributesMetadataTableName,
telemetrymeter.DBName,
telemetrymeter.SamplesAgg1dTableName,
telemetrylogs.DBName,
telemetrylogs.LogsV2TableName,
telemetrylogs.TagAttributesV2TableName,
telemetrylogs.LogAttributeKeysTblName,
telemetrylogs.LogResourceKeysTblName,
telemetryaudit.DBName,
telemetryaudit.AuditLogsTableName,
telemetryaudit.TagAttributesTableName,
telemetryaudit.LogAttributeKeysTblName,
telemetryaudit.LogResourceKeysTblName,
DBName,
AttributesMetadataTableName,
ColumnEvolutionMetadataTableName,
flaggertest.New(t),
)

View File

@@ -1,4 +1,4 @@
package meterstatementbuilder
package telemetrymeter
import (
"context"
@@ -7,12 +7,8 @@ import (
"github.com/SigNoz/signoz/pkg/errors"
"github.com/SigNoz/signoz/pkg/factory"
"github.com/SigNoz/signoz/pkg/flagger"
"github.com/SigNoz/signoz/pkg/querybuilder"
"github.com/SigNoz/signoz/pkg/statementbuilder"
"github.com/SigNoz/signoz/pkg/statementbuilder/metricsstatementbuilder"
"github.com/SigNoz/signoz/pkg/telemetryschema/metertelemetryschema"
"github.com/SigNoz/signoz/pkg/telemetryschema/metricstelemetryschema"
"github.com/SigNoz/signoz/pkg/telemetrymetrics"
"github.com/SigNoz/signoz/pkg/types/metrictypes"
qbtypes "github.com/SigNoz/signoz/pkg/types/querybuildertypes/querybuildertypesv5"
"github.com/SigNoz/signoz/pkg/types/telemetrytypes"
@@ -25,40 +21,19 @@ type meterQueryStatementBuilder struct {
metadataStore telemetrytypes.MetadataStore
fm qbtypes.FieldMapper
cb qbtypes.ConditionBuilder
metricsStatementBuilder *metricsstatementbuilder.StatementBuilder
metricsStatementBuilder *telemetrymetrics.MetricQueryStatementBuilder
}
var _ qbtypes.StatementBuilder[qbtypes.MetricAggregation] = (*meterQueryStatementBuilder)(nil)
// NewFactory returns a provider factory for the meter statement builder. Its New
// reuses the metrics FieldMapper/ConditionBuilder and delegates the final SELECT
// to a metrics statement builder built via the metrics factory.
func NewFactory(
metadataStore telemetrytypes.MetadataStore,
fl flagger.Flagger,
) factory.ProviderFactory[qbtypes.StatementBuilder[qbtypes.MetricAggregation], statementbuilder.Config] {
return factory.NewProviderFactory(
factory.MustNewName("meter"),
func(ctx context.Context, settings factory.ProviderSettings, cfg statementbuilder.Config) (qbtypes.StatementBuilder[qbtypes.MetricAggregation], error) {
metricsStatementBuilder, err := metricsstatementbuilder.NewFactory(metadataStore, fl).New(ctx, settings, cfg)
if err != nil {
return nil, err
}
fm := metricstelemetryschema.NewFieldMapper()
cb := metricstelemetryschema.NewConditionBuilder(fm)
return NewMeterQueryStatementBuilder(settings, metadataStore, fm, cb, metricsStatementBuilder), nil
},
)
}
func NewMeterQueryStatementBuilder(
settings factory.ProviderSettings,
metadataStore telemetrytypes.MetadataStore,
fieldMapper qbtypes.FieldMapper,
conditionBuilder qbtypes.ConditionBuilder,
metricsStatementBuilder *metricsstatementbuilder.StatementBuilder,
metricsStatementBuilder *telemetrymetrics.MetricQueryStatementBuilder,
) *meterQueryStatementBuilder {
metricsSettings := factory.NewScopedProviderSettings(settings, "github.com/SigNoz/signoz/pkg/telemetryschema/metertelemetryschema")
metricsSettings := factory.NewScopedProviderSettings(settings, "github.com/SigNoz/signoz/pkg/telemetrymeter")
return &meterQueryStatementBuilder{
logger: metricsSettings.Logger(),
@@ -78,7 +53,7 @@ func (b *meterQueryStatementBuilder) Build(
query qbtypes.QueryBuilderQuery[qbtypes.MetricAggregation],
variables map[string]qbtypes.VariableItem,
) (*qbtypes.Statement, error) {
keySelectors := metricsstatementbuilder.GetKeySelectors(query)
keySelectors := telemetrymetrics.GetKeySelectors(query)
keys, _, err := b.metadataStore.GetKeysMulti(ctx, orgID, keySelectors)
if err != nil {
return nil, err
@@ -158,8 +133,8 @@ func (b *meterQueryStatementBuilder) buildTemporalAggDeltaFastPath(
sb.SelectMore(col)
}
tbl := metertelemetryschema.WhichSamplesTableToUse(start, end, query.Aggregations[0].Type, query.Aggregations[0].TimeAggregation, query.Aggregations[0].TableHints)
aggCol, err := metertelemetryschema.AggregationColumnForSamplesTable(start, end, query.Aggregations[0].Type, query.Aggregations[0].Temporality, query.Aggregations[0].TimeAggregation, query.Aggregations[0].TableHints)
tbl := WhichSamplesTableToUse(start, end, query.Aggregations[0].Type, query.Aggregations[0].TimeAggregation, query.Aggregations[0].TableHints)
aggCol, err := AggregationColumnForSamplesTable(start, end, query.Aggregations[0].Type, query.Aggregations[0].Temporality, query.Aggregations[0].TimeAggregation, query.Aggregations[0].TableHints)
if err != nil {
return "", nil, err
}
@@ -168,7 +143,7 @@ func (b *meterQueryStatementBuilder) buildTemporalAggDeltaFastPath(
}
sb.SelectMore(fmt.Sprintf("%s AS value", aggCol))
sb.From(fmt.Sprintf("%s.%s AS points", metertelemetryschema.DBName, tbl))
sb.From(fmt.Sprintf("%s.%s AS points", DBName, tbl))
sb.Where(
sb.In("metric_name", query.Aggregations[0].MetricName),
sb.GTE("unix_milli", start),
@@ -247,8 +222,8 @@ func (b *meterQueryStatementBuilder) buildTemporalAggDelta(
sb.SelectMore(col)
}
tbl := metertelemetryschema.WhichSamplesTableToUse(start, end, query.Aggregations[0].Type, query.Aggregations[0].TimeAggregation, query.Aggregations[0].TableHints)
aggCol, err := metertelemetryschema.AggregationColumnForSamplesTable(start, end, query.Aggregations[0].Type, query.Aggregations[0].Temporality,
tbl := WhichSamplesTableToUse(start, end, query.Aggregations[0].Type, query.Aggregations[0].TimeAggregation, query.Aggregations[0].TableHints)
aggCol, err := AggregationColumnForSamplesTable(start, end, query.Aggregations[0].Type, query.Aggregations[0].Temporality,
query.Aggregations[0].TimeAggregation, query.Aggregations[0].TableHints)
if err != nil {
return "", nil, err
@@ -259,7 +234,7 @@ func (b *meterQueryStatementBuilder) buildTemporalAggDelta(
sb.SelectMore(fmt.Sprintf("%s AS per_series_value", aggCol))
sb.From(fmt.Sprintf("%s.%s AS points", metertelemetryschema.DBName, tbl))
sb.From(fmt.Sprintf("%s.%s AS points", DBName, tbl))
sb.Where(
sb.In("metric_name", query.Aggregations[0].MetricName),
sb.GTE("unix_milli", start),
@@ -325,14 +300,14 @@ func (b *meterQueryStatementBuilder) buildTemporalAggCumulativeOrUnspecified(
baseSb.SelectMore(col)
}
tbl := metertelemetryschema.WhichSamplesTableToUse(start, end, query.Aggregations[0].Type, query.Aggregations[0].TimeAggregation, query.Aggregations[0].TableHints)
aggCol, err := metertelemetryschema.AggregationColumnForSamplesTable(start, end, query.Aggregations[0].Type, query.Aggregations[0].Temporality, query.Aggregations[0].TimeAggregation, query.Aggregations[0].TableHints)
tbl := WhichSamplesTableToUse(start, end, query.Aggregations[0].Type, query.Aggregations[0].TimeAggregation, query.Aggregations[0].TableHints)
aggCol, err := AggregationColumnForSamplesTable(start, end, query.Aggregations[0].Type, query.Aggregations[0].Temporality, query.Aggregations[0].TimeAggregation, query.Aggregations[0].TableHints)
if err != nil {
return "", nil, err
}
baseSb.SelectMore(fmt.Sprintf("%s AS per_series_value", aggCol))
baseSb.From(fmt.Sprintf("%s.%s AS points", metertelemetryschema.DBName, tbl))
baseSb.From(fmt.Sprintf("%s.%s AS points", DBName, tbl))
baseSb.Where(
baseSb.In("metric_name", query.Aggregations[0].MetricName),
baseSb.GTE("unix_milli", start),
@@ -375,7 +350,7 @@ func (b *meterQueryStatementBuilder) buildTemporalAggCumulativeOrUnspecified(
for _, g := range query.GroupBy {
wrapped.SelectMore(fmt.Sprintf("`%s`", g.Name))
}
wrapped.SelectMore(fmt.Sprintf("%s AS per_series_value", metricsstatementbuilder.RateTmpl))
wrapped.SelectMore(fmt.Sprintf("%s AS per_series_value", telemetrymetrics.RateTmpl))
wrapped.From(fmt.Sprintf("(%s) WINDOW rate_window AS (PARTITION BY fingerprint ORDER BY fingerprint, ts)", innerQuery))
q, args := wrapped.BuildWithFlavor(sqlbuilder.ClickHouse, innerArgs...)
return fmt.Sprintf("__temporal_aggregation_cte AS (%s)", q), args, nil
@@ -386,7 +361,7 @@ func (b *meterQueryStatementBuilder) buildTemporalAggCumulativeOrUnspecified(
for _, g := range query.GroupBy {
wrapped.SelectMore(fmt.Sprintf("`%s`", g.Name))
}
wrapped.SelectMore(fmt.Sprintf("%s AS per_series_value", metricsstatementbuilder.IncreaseTmpl))
wrapped.SelectMore(fmt.Sprintf("%s AS per_series_value", telemetrymetrics.IncreaseTmpl))
wrapped.From(fmt.Sprintf("(%s) WINDOW rate_window AS (PARTITION BY fingerprint ORDER BY fingerprint, ts)", innerQuery))
q, args := wrapped.BuildWithFlavor(sqlbuilder.ClickHouse, innerArgs...)
return fmt.Sprintf("__temporal_aggregation_cte AS (%s)", q), args, nil

Some files were not shown because too many files have changed in this diff Show More