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5 Commits

Author SHA1 Message Date
srikanthccv
b3a46e38d0 test(promql): add upstream promqltest conformance corpus and suite
Freezes an absolute-truth oracle from prometheus@v0.311.3's own
promql/promqltest testdata: a generator (scripts/promqltestcorpus)
evaluates upstream's load scripts with the vendored reference engine and
writes 755 cases to a committed corpus; a new integration suite replays
the ingestion and asserts /api/v5/query_range responses against it. The
known-divergences ledger is enforced exactly in both directions and is
empty: the serving path matches the reference engine on every case.

The metrics fixture now writes registration rows per (series, hour
bucket) with hour-floored timestamps, matching the exporter.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-18 14:31:52 +05:30
srikanthccv
109e976c47 fix(querier): strip only known internal label keys from promql results
The v5 output filter dropped every __-prefixed label, mangling labelsets
that legitimately carry one (e.g. __address__) — the labels are user
data. Hide only SigNoz storage keys: __temporality__ and the __scope./
__resource. prefixes, which cover every exporter version's keys.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-18 14:31:51 +05:30
srikanthccv
252583c3b7 fix(clickhouseprometheus): resolve __name__ matchers against metric_name and anchor matcher regexes
The read client reduced every __name__ matcher to metric_name = <value>
(empty string when absent), so nameless selectors ({job="api"}), regex
names ({__name__=~".+"}), and negations silently returned empty. Map the
__name__ matcher onto the metric_name column per matcher type, drop the
condition when no __name__ matcher exists, and narrow the samples query
by the metric names the series lookup discovered.

Matcher regexes are now anchored (^(?:...)$) the way Prometheus compiles
them; ClickHouse match() is a substring search, so {job=~"api"} also
matched job="api-server" before.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-18 14:31:51 +05:30
srikanthccv
7b263ffd70 fix(clickhouseprometheus): include hour-floored registration rows at the query window end
The series lookup bounded registration rows with unix_milli < end while
the samples query uses <= end. The exporter writes registration rows
hour-floored, so a series first registered in the hour starting exactly
at end was invisible even though its samples were fetchable — queries
ending exactly on an hour boundary missed newly-registered series.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-18 14:31:51 +05:30
srikanthccv
1dcd8a99ad fix(clickhouseprometheus): merge fingerprints sharing a labelset instead of injecting a fingerprint label
#8563 worked around duplicate-labelset collisions (a label value going
empty re-fingerprints a series; empty-valued labels are dropped at read)
by appending a synthetic fingerprint label to every series and stripping
it from results. The label participates in evaluation before any strip
runs: without() grouped per fingerprint (duplicate identical-labeled
output series) and unaggregated vector matching never matched.

Resolve series identity at the adapter instead: drop empty-valued labels
at unmarshal, merge fingerprints that share the resulting labelset
(timestamp-ordered k-way merge, highest fingerprint wins equal
timestamps), and delete the injection and every RemoveExtraLabels strip.
Engine-semantic duplicates (e.g. rate over {__name__=~"a|b"}) still
error, matching upstream Prometheus.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-18 14:31:51 +05:30
20 changed files with 132211 additions and 253 deletions

View File

@@ -54,6 +54,7 @@ jobs:
- querierscalar
- queriercommon
- rawexportdata
- promqlconformance
- querierauthz
- role
- rootuser

View File

@@ -56,19 +56,21 @@ func (c *captureClient) Read(ctx context.Context, query *prompb.Query, _ bool) (
}
}
var metricName string
// Without executing the series lookup, only an exact-name selector's
// metric name is known.
var metricNames []string
for _, matcher := range query.Matchers {
if matcher.Name == "__name__" {
metricName = matcher.Value
if matcher.Name == "__name__" && matcher.Type == prompb.LabelMatcher_EQ {
metricNames = []string{matcher.Value}
}
}
// Build the executing path's queries, but only record them.
subQuery, args, err := c.queryToClickhouseQuery(ctx, query, metricName, true)
subQuery, args, err := c.queryToClickhouseQuery(ctx, query, len(metricNames), true)
if err != nil {
return nil, err
}
samplesQuery, samplesArgs := buildSamplesQuery(int64(query.StartTimestampMs), int64(query.EndTimestampMs), metricName, subQuery, args)
samplesQuery, samplesArgs := buildSamplesQuery(int64(query.StartTimestampMs), int64(query.EndTimestampMs), metricNames, subQuery, args)
c.recorder.record(samplesQuery, samplesArgs)
return storage.EmptySeriesSet(), nil

View File

@@ -4,6 +4,7 @@ import (
"context"
"fmt"
"math"
"sort"
"strconv"
"strings"
"sync"
@@ -55,19 +56,12 @@ func (client *client) Read(ctx context.Context, query *prompb.Query, sortSeries
}
}
var metricName string
for _, matcher := range query.Matchers {
if matcher.Name == "__name__" {
metricName = matcher.Value
}
}
clickhouseQuery, args, err := client.queryToClickhouseQuery(ctx, query, metricName, false)
clickhouseQuery, args, err := client.queryToClickhouseQuery(ctx, query, 0, false)
if err != nil {
return nil, err
}
fingerprints, err := client.getFingerprintsFromClickhouseQuery(ctx, clickhouseQuery, args)
fingerprints, metricNames, err := client.getFingerprintsFromClickhouseQuery(ctx, clickhouseQuery, args)
if err != nil {
return nil, err
}
@@ -75,13 +69,13 @@ func (client *client) Read(ctx context.Context, query *prompb.Query, sortSeries
return remote.FromQueryResult(sortSeries, new(prompb.QueryResult)), nil
}
clickhouseSubQuery, args, err := client.queryToClickhouseQuery(ctx, query, metricName, true)
clickhouseSubQuery, subArgs, err := client.queryToClickhouseQuery(ctx, query, len(metricNames), true)
if err != nil {
return nil, err
}
res := new(prompb.QueryResult)
timeseries, err := client.querySamples(ctx, int64(query.StartTimestampMs), int64(query.EndTimestampMs), fingerprints, metricName, clickhouseSubQuery, args)
timeseries, err := client.querySamples(ctx, int64(query.StartTimestampMs), int64(query.EndTimestampMs), fingerprints, metricNames, clickhouseSubQuery, subArgs)
if err != nil {
return nil, err
}
@@ -125,101 +119,155 @@ func (c *client) ReadMultiple(ctx context.Context, queries []*prompb.Query, sort
return storage.NewMergeSeriesSet(sets, 0, storage.ChainedSeriesMerge), nil
}
func (client *client) queryToClickhouseQuery(_ context.Context, query *prompb.Query, metricName string, subQuery bool) (string, []any, error) {
var clickHouseQuery string
var conditions []string
var argCount = 0
var selectString = "fingerprint, any(labels)"
// anchorRegex makes a pattern fully anchored, the way Prometheus compiles
// matcher regexes; ClickHouse's match() would otherwise substring-match.
func anchorRegex(pattern string) string {
return "^(?:" + pattern + ")$"
}
// queryToClickhouseQuery renders the time-series lookup. argOffset shifts
// the positional placeholders so the SQL can nest after preceding args (the
// samples query prefixes its metric-name args before splicing this in).
func (client *client) queryToClickhouseQuery(_ context.Context, query *prompb.Query, argOffset int, subQuery bool) (string, []any, error) {
selectString := "fingerprint, any(labels)"
if subQuery {
argCount = 1
selectString = "fingerprint"
}
start, end, tableName := getStartAndEndAndTableName(query.StartTimestampMs, query.EndTimestampMs)
var conditions []string
var args []any
conditions = append(conditions, fmt.Sprintf("metric_name = $%d", argCount+1))
conditions = append(conditions, "temporality IN ['Cumulative', 'Unspecified']")
conditions = append(conditions, fmt.Sprintf("unix_milli >= %d AND unix_milli < %d", start, end))
nextArg := func(v any) string {
args = append(args, v)
return fmt.Sprintf("$%d", argOffset+len(args))
}
conditions = append(conditions, "temporality IN ['Cumulative', 'Unspecified']")
// Inclusive upper bound: registration rows are hour-floored by the
// exporter, so a series first registered in the hour starting exactly at
// `end` would otherwise be invisible while its samples (<= end) are in
// range.
conditions = append(conditions, fmt.Sprintf("unix_milli >= %d AND unix_milli <= %d", start, end))
args = append(args, metricName)
for _, m := range query.Matchers {
if m.Name == "__name__" {
// __name__ maps onto the metric_name column per matcher type;
// reducing regex/negated/absent name matchers to one equality
// made such selectors silently return empty.
switch m.Type {
case prompb.LabelMatcher_EQ:
conditions = append(conditions, fmt.Sprintf("metric_name = %s", nextArg(m.Value)))
case prompb.LabelMatcher_NEQ:
conditions = append(conditions, fmt.Sprintf("metric_name != %s", nextArg(m.Value)))
case prompb.LabelMatcher_RE:
conditions = append(conditions, fmt.Sprintf("match(metric_name, %s)", nextArg(anchorRegex(m.Value))))
case prompb.LabelMatcher_NRE:
conditions = append(conditions, fmt.Sprintf("not match(metric_name, %s)", nextArg(anchorRegex(m.Value))))
default:
return "", nil, errors.NewInvalidInputf(errors.CodeInvalidInput, "unsupported or invalid matcher type: %s", m.Type.String())
}
continue
}
switch m.Type {
case prompb.LabelMatcher_EQ:
conditions = append(conditions, fmt.Sprintf("JSONExtractString(labels, $%d) = $%d", argCount+2, argCount+3))
conditions = append(conditions, fmt.Sprintf("JSONExtractString(labels, %s) = %s", nextArg(m.Name), nextArg(m.Value)))
case prompb.LabelMatcher_NEQ:
conditions = append(conditions, fmt.Sprintf("JSONExtractString(labels, $%d) != $%d", argCount+2, argCount+3))
conditions = append(conditions, fmt.Sprintf("JSONExtractString(labels, %s) != %s", nextArg(m.Name), nextArg(m.Value)))
case prompb.LabelMatcher_RE:
conditions = append(conditions, fmt.Sprintf("match(JSONExtractString(labels, $%d), $%d)", argCount+2, argCount+3))
conditions = append(conditions, fmt.Sprintf("match(JSONExtractString(labels, %s), %s)", nextArg(m.Name), nextArg(anchorRegex(m.Value))))
case prompb.LabelMatcher_NRE:
conditions = append(conditions, fmt.Sprintf("not match(JSONExtractString(labels, $%d), $%d)", argCount+2, argCount+3))
conditions = append(conditions, fmt.Sprintf("not match(JSONExtractString(labels, %s), %s)", nextArg(m.Name), nextArg(anchorRegex(m.Value))))
default:
return "", nil, errors.NewInvalidInputf(errors.CodeInvalidInput, "unsupported or invalid matcher type: %s", m.Type.String())
}
args = append(args, m.Name, m.Value)
argCount += 2
}
whereClause := strings.Join(conditions, " AND ")
clickHouseQuery = fmt.Sprintf(`SELECT %s FROM %s.%s WHERE %s GROUP BY fingerprint`, selectString, databaseName, tableName, whereClause)
clickHouseQuery := fmt.Sprintf(`SELECT %s FROM %s.%s WHERE %s GROUP BY fingerprint`, selectString, databaseName, tableName, whereClause)
return clickHouseQuery, args, nil
}
func (client *client) getFingerprintsFromClickhouseQuery(ctx context.Context, query string, args []any) (map[uint64][]prompb.Label, error) {
func (client *client) getFingerprintsFromClickhouseQuery(ctx context.Context, query string, args []any) (map[uint64][]prompb.Label, []string, error) {
ctx = client.withClickhousePrometheusContext(ctx, "getFingerprintsFromClickhouseQuery")
rows, err := client.telemetryStore.ClickhouseDB().Query(ctx, query, args...)
if err != nil {
return nil, err
return nil, nil, err
}
defer rows.Close()
fingerprints := make(map[uint64][]prompb.Label)
nameSet := make(map[string]struct{})
var fingerprint uint64
var labelString string
for rows.Next() {
if err = rows.Scan(&fingerprint, &labelString); err != nil {
return nil, err
return nil, nil, err
}
labels, _, err := unmarshalLabels(labelString, fingerprint)
labels, metricName, err := unmarshalLabels(labelString)
if err != nil {
return nil, err
return nil, nil, err
}
fingerprints[fingerprint] = labels
if metricName != "" {
nameSet[metricName] = struct{}{}
}
}
if err := rows.Err(); err != nil {
return nil, err
return nil, nil, err
}
return fingerprints, nil
metricNames := make([]string, 0, len(nameSet))
for name := range nameSet {
metricNames = append(metricNames, name)
}
sort.Strings(metricNames)
return fingerprints, metricNames, nil
}
// buildSamplesQuery renders the samples SQL (and args) that fetches data
// points for the series selected by subQuery.
func buildSamplesQuery(start int64, end int64, metricName string, subQuery string, args []any) (string, []any) {
argCount := len(args)
// buildSamplesQuery renders the samples SQL for the series selected by
// subQuery. The metric_name condition exists only for primary-key pruning;
// the fingerprint filter already selects the right rows.
func buildSamplesQuery(start int64, end int64, metricNames []string, subQuery string, args []any) (string, []any) {
allArgs := make([]any, 0, len(metricNames)+len(args)+2)
var conditions []string
if len(metricNames) > 0 {
placeholders := make([]string, len(metricNames))
for i, name := range metricNames {
placeholders[i] = fmt.Sprintf("$%d", i+1)
allArgs = append(allArgs, name)
}
conditions = append(conditions, fmt.Sprintf("metric_name IN (%s)", strings.Join(placeholders, ", ")))
}
allArgs = append(allArgs, args...)
argCount := len(metricNames) + len(args)
conditions = append(conditions, fmt.Sprintf("fingerprint GLOBAL IN (%s)", subQuery))
conditions = append(conditions, fmt.Sprintf("unix_milli >= $%s AND unix_milli <= $%s", strconv.Itoa(argCount+1), strconv.Itoa(argCount+2)))
allArgs = append(allArgs, start, end)
query := fmt.Sprintf(`
SELECT metric_name, fingerprint, unix_milli, value, flags
FROM %s.%s
WHERE metric_name = $1 AND fingerprint GLOBAL IN (%s) AND unix_milli >= $%s AND unix_milli <= $%s ORDER BY fingerprint, unix_milli;`,
databaseName, distributedSamplesV4, subQuery, strconv.Itoa(argCount+2), strconv.Itoa(argCount+3))
WHERE %s ORDER BY fingerprint, unix_milli;`,
databaseName, distributedSamplesV4, strings.Join(conditions, " AND "))
query = strings.TrimSpace(query)
allArgs := append([]any{metricName}, args...)
allArgs = append(allArgs, start, end)
return query, allArgs
}
func (client *client) querySamples(ctx context.Context, start int64, end int64, fingerprints map[uint64][]prompb.Label, metricName string, subQuery string, args []any) ([]*prompb.TimeSeries, error) {
func (client *client) querySamples(ctx context.Context, start int64, end int64, fingerprints map[uint64][]prompb.Label, metricNames []string, subQuery string, args []any) ([]*prompb.TimeSeries, error) {
ctx = client.withClickhousePrometheusContext(ctx, "querySamples")
query, allArgs := buildSamplesQuery(start, end, metricName, subQuery, args)
query, allArgs := buildSamplesQuery(start, end, metricNames, subQuery, args)
rows, err := client.telemetryStore.ClickhouseDB().Query(ctx, query, allArgs...)
if err != nil {
@@ -229,6 +277,7 @@ func (client *client) querySamples(ctx context.Context, start int64, end int64,
var res []*prompb.TimeSeries
var ts *prompb.TimeSeries
var metricName string
var fingerprint, prevFingerprint uint64
var timestampMs, prevTimestamp int64
var value float64
@@ -281,7 +330,82 @@ func (client *client) querySamples(ctx context.Context, start int64, end int64,
return nil, err
}
return res, nil
return mergeSeriesWithIdenticalLabels(res), nil
}
// mergeSeriesWithIdenticalLabels collapses series sharing one labelset into
// one series each. Distinct fingerprints can map to one labelset: a label
// value goes empty over a series' lifetime (#8563), the fingerprint
// algorithm changes across exporter versions, or the env changes. The
// engine treats the labelset as series identity — duplicates raise
// "duplicate series", and #8563's workaround of injecting a synthetic
// fingerprint label silently broke without() and vector matching. Merging
// at the last point before hand-off keeps any future input-side label
// normalization collision-safe. Regression:
// TestClient_QuerySamplesMergesIdenticalLabelSets and
// tests/integration/tests/promqlconformance/02_fingerprint_probe.py.
func mergeSeriesWithIdenticalLabels(series []*prompb.TimeSeries) []*prompb.TimeSeries {
groups := make(map[string][]*prompb.TimeSeries, len(series))
order := make([]string, 0, len(series))
for _, ts := range series {
key := labelsKey(ts.Labels)
if _, ok := groups[key]; !ok {
order = append(order, key)
}
groups[key] = append(groups[key], ts)
}
res := make([]*prompb.TimeSeries, 0, len(order))
for _, key := range order {
group := groups[key]
if len(group) == 1 {
res = append(res, group[0])
continue
}
res = append(res, mergeSamples(group))
}
return res
}
func labelsKey(lbls []prompb.Label) string {
sorted := make([]prompb.Label, len(lbls))
copy(sorted, lbls)
sort.Slice(sorted, func(i, j int) bool { return sorted[i].Name < sorted[j].Name })
var sb strings.Builder
for _, l := range sorted {
sb.WriteString(l.Name)
sb.WriteByte(0xff)
sb.WriteString(l.Value)
sb.WriteByte(0xfe)
}
return sb.String()
}
// mergeSamples k-way merges sample streams that share one labelset. On
// equal timestamps the highest fingerprint wins: the input is in ascending
// fingerprint order (samples SQL), keeping the choice deterministic.
func mergeSamples(group []*prompb.TimeSeries) *prompb.TimeSeries {
merged := &prompb.TimeSeries{Labels: group[0].Labels}
idx := make([]int, len(group))
for {
minTs := int64(math.MaxInt64)
for i, ts := range group {
if idx[i] < len(ts.Samples) && ts.Samples[idx[i]].Timestamp < minTs {
minTs = ts.Samples[idx[i]].Timestamp
}
}
if minTs == math.MaxInt64 {
return merged
}
var chosen prompb.Sample
for i, ts := range group {
if idx[i] < len(ts.Samples) && ts.Samples[idx[i]].Timestamp == minTs {
chosen = ts.Samples[idx[i]]
idx[i]++
}
}
merged.Samples = append(merged.Samples, chosen)
}
}
func (client *client) queryRaw(ctx context.Context, query string, ts int64) (*prompb.QueryResult, error) {

View File

@@ -29,7 +29,7 @@ func TestClient_QuerySamples(t *testing.T) {
start int64
end int64
fingerprints map[uint64][]prompb.Label
metricName string
metricNames []string
subQuery string
args []any
setupMock func(mock cmock.ClickConnMockCommon, args ...any)
@@ -52,7 +52,7 @@ func TestClient_QuerySamples(t *testing.T) {
{Name: "instance", Value: "localhost:9091"},
},
},
metricName: "cpu_usage",
metricNames: []string{"cpu_usage"},
subQuery: "SELECT metric_name, fingerprint, unix_milli, value, flags",
expectedTimeSeries: 2,
expectError: false,
@@ -97,10 +97,10 @@ func TestClient_QuerySamples(t *testing.T) {
telemetryStore := telemetrystoretest.New(telemetrystore.Config{Provider: "clickhouse"}, sqlmock.QueryMatcherRegexp)
readClient := client{telemetryStore: telemetryStore}
if tt.setupMock != nil {
tt.setupMock(telemetryStore.Mock(), tt.metricName, tt.start, tt.end)
tt.setupMock(telemetryStore.Mock(), "cpu_usage", tt.start, tt.end)
}
result, err := readClient.querySamples(ctx, tt.start, tt.end, tt.fingerprints, tt.metricName, tt.subQuery, tt.args)
result, err := readClient.querySamples(ctx, tt.start, tt.end, tt.fingerprints, tt.metricNames, tt.subQuery, tt.args)
if tt.expectError {
assert.Error(t, err)
@@ -115,6 +115,68 @@ func TestClient_QuerySamples(t *testing.T) {
}
}
// Regression for the duplicate-series class behind #8563: fingerprints
// sharing one labelset must come back as one merged series, the higher
// fingerprint winning equal timestamps.
func TestClient_QuerySamplesMergesIdenticalLabelSets(t *testing.T) {
ctx := context.Background()
cols := []cmock.ColumnType{
{Name: "metric_name", Type: "String"},
{Name: "fingerprint", Type: "UInt64"},
{Name: "unix_milli", Type: "Int64"},
{Name: "value", Type: "Float64"},
{Name: "flags", Type: "UInt32"},
}
canary := []prompb.Label{
{Name: "__name__", Value: "requests"},
{Name: "group", Value: "canary"},
}
production := []prompb.Label{
{Name: "__name__", Value: "requests"},
{Name: "group", Value: "production"},
}
fingerprints := map[uint64][]prompb.Label{
100: canary,
200: canary,
300: production,
}
telemetryStore := telemetrystoretest.New(telemetrystore.Config{Provider: "clickhouse"}, sqlmock.QueryMatcherRegexp)
// Rows arrive ordered by (fingerprint, unix_milli), matching the SQL.
values := [][]any{
{"requests", uint64(100), int64(1000), float64(1.0), uint32(0)},
{"requests", uint64(100), int64(2000), float64(2.0), uint32(0)},
{"requests", uint64(200), int64(2000), float64(20.0), uint32(0)},
{"requests", uint64(200), int64(3000), float64(30.0), uint32(0)},
{"requests", uint64(300), int64(1500), float64(5.0), uint32(0)},
}
telemetryStore.Mock().ExpectQuery("SELECT metric_name, fingerprint, unix_milli, value, flags").
WithArgs("requests", int64(1000), int64(3000)).
WillReturnRows(cmock.NewRows(cols, values))
readClient := client{telemetryStore: telemetryStore}
result, err := readClient.querySamples(ctx, 1000, 3000, fingerprints, []string{"requests"}, "SELECT metric_name, fingerprint, unix_milli, value, flags", nil)
require.NoError(t, err)
assert.Equal(t, []*prompb.TimeSeries{
{
Labels: canary,
Samples: []prompb.Sample{
{Timestamp: 1000, Value: 1.0},
{Timestamp: 2000, Value: 20.0},
{Timestamp: 3000, Value: 30.0},
},
},
{
Labels: production,
Samples: []prompb.Sample{
{Timestamp: 1500, Value: 5.0},
},
},
}, result)
}
func TestClient_getFingerprintsFromClickhouseQuery(t *testing.T) {
cols := []cmock.ColumnType{
{Name: "fingerprint", Type: "UInt64"},
@@ -138,6 +200,7 @@ func TestClient_getFingerprintsFromClickhouseQuery(t *testing.T) {
args []any
setupMock func(m cmock.ClickConnMockCommon, args ...any)
want map[uint64][]prompb.Label
wantNames []string
wantErr bool
}{
{
@@ -151,26 +214,30 @@ func TestClient_getFingerprintsFromClickhouseQuery(t *testing.T) {
setupMock: func(m cmock.ClickConnMockCommon, args ...any) {
rows := [][]any{
{uint64(123), `{"t1":"s1","t2":"s2"}`},
{uint64(234), `{"t1":"s1","t2":"s2"}`},
{uint64(123), `{"__name__":"cpu_usage","t1":"s1","t2":"s2"}`},
{uint64(234), `{"__name__":"cpu_usage","t1":"s1","t2":"s2","empty":""}`},
}
m.ExpectQuery(`SELECT fingerprint,labels`).WithArgs(args...).WillReturnRows(
cmock.NewRows(cols, rows),
)
},
// No synthetic fingerprint label (#8563), empty-valued labels
// dropped: both fingerprints present one labelset for
// querySamples to merge.
want: map[uint64][]prompb.Label{
123: {
{Name: "fingerprint", Value: "123"},
{Name: "__name__", Value: "cpu_usage"},
{Name: "t1", Value: "s1"},
{Name: "t2", Value: "s2"},
},
234: {
{Name: "fingerprint", Value: "234"},
{Name: "__name__", Value: "cpu_usage"},
{Name: "t1", Value: "s1"},
{Name: "t2", Value: "s2"},
},
},
wantNames: []string{"cpu_usage"},
},
}
@@ -188,13 +255,14 @@ func TestClient_getFingerprintsFromClickhouseQuery(t *testing.T) {
c := client{telemetryStore: store}
got, err := c.getFingerprintsFromClickhouseQuery(ctx, tc.subQuery, tc.args)
got, gotNames, err := c.getFingerprintsFromClickhouseQuery(ctx, tc.subQuery, tc.args)
if tc.wantErr {
require.Error(t, err)
require.Nil(t, got)
return
}
require.NoError(t, err)
assert.Equal(t, tc.wantNames, gotNames, "discovered metric names mismatch")
require.Equal(t, len(tc.want), len(got), "fingerprint map length mismatch")
for fp, expLabels := range tc.want {
gotLabels, ok := got[fp]
@@ -208,3 +276,76 @@ func TestClient_getFingerprintsFromClickhouseQuery(t *testing.T) {
})
}
}
// Regression for nameless/regex-name selectors silently returning empty:
// the old code reduced every __name__ matcher to `metric_name = <value>`
// (empty string when absent). Regexes must come out anchored — Prometheus
// matcher semantics, while ClickHouse match() substring-matches.
func TestQueryToClickhouseQueryNameMatchers(t *testing.T) {
c := client{}
query := func(matchers ...*prompb.LabelMatcher) *prompb.Query {
return &prompb.Query{StartTimestampMs: 0, EndTimestampMs: 1000, Matchers: matchers}
}
tests := []struct {
name string
query *prompb.Query
contains []string
absent []string
args []any
}{
{
name: "exact name",
query: query(&prompb.LabelMatcher{Type: prompb.LabelMatcher_EQ, Name: "__name__", Value: "cpu_usage"}),
contains: []string{"metric_name = $1"},
args: []any{"cpu_usage"},
},
{
name: "regex name is anchored",
query: query(&prompb.LabelMatcher{Type: prompb.LabelMatcher_RE, Name: "__name__", Value: ".+"}),
contains: []string{"match(metric_name, $1)"},
args: []any{"^(?:.+)$"},
},
{
name: "nameless selector has no metric_name condition",
query: query(
&prompb.LabelMatcher{Type: prompb.LabelMatcher_EQ, Name: "job", Value: "api"},
&prompb.LabelMatcher{Type: prompb.LabelMatcher_NRE, Name: "group", Value: "can.*"},
),
contains: []string{
"JSONExtractString(labels, $1) = $2",
"not match(JSONExtractString(labels, $3), $4)",
},
absent: []string{"metric_name"},
args: []any{"job", "api", "group", "^(?:can.*)$"},
},
}
for _, tt := range tests {
t.Run(tt.name, func(t *testing.T) {
sql, args, err := c.queryToClickhouseQuery(context.Background(), tt.query, 0, false)
require.NoError(t, err)
for _, want := range tt.contains {
assert.Contains(t, sql, want)
}
for _, notWant := range tt.absent {
assert.NotContains(t, sql, notWant)
}
assert.Equal(t, tt.args, args)
})
}
}
// The samples query narrows by the metric names the lookup discovered,
// with subquery placeholders shifted past the name args.
func TestBuildSamplesQueryMetricNames(t *testing.T) {
sql, args := buildSamplesQuery(5, 9, []string{"a_total", "b_total"}, "SUBQ", []any{"x"})
assert.Contains(t, sql, "metric_name IN ($1, $2)")
assert.Contains(t, sql, "unix_milli >= $4 AND unix_milli <= $5")
assert.Equal(t, []any{"a_total", "b_total", "x", int64(5), int64(9)}, args)
sql, args = buildSamplesQuery(5, 9, nil, "SUBQ", nil)
assert.NotContains(t, sql, "metric_name IN")
assert.Contains(t, sql, "unix_milli >= $1 AND unix_milli <= $2")
assert.Equal(t, []any{int64(5), int64(9)}, args)
}

View File

@@ -2,14 +2,15 @@ package clickhouseprometheus
import (
"encoding/json"
"strconv"
"github.com/SigNoz/signoz/pkg/prometheus"
"github.com/prometheus/prometheus/prompb"
)
// Unmarshals JSON into Prometheus labels. It does not preserve order.
func unmarshalLabels(s string, fingerprint uint64) ([]prompb.Label, string, error) {
// Empty-valued labels are dropped: Prometheus treats them as absent, and
// keeping them lets two fingerprints present duplicate labelsets to the
// engine (the incident behind #8563).
func unmarshalLabels(s string) ([]prompb.Label, string, error) {
var metricName string
m := make(map[string]string)
if err := json.Unmarshal([]byte(s), &m); err != nil {
@@ -17,6 +18,9 @@ func unmarshalLabels(s string, fingerprint uint64) ([]prompb.Label, string, erro
}
res := make([]prompb.Label, 0, len(m))
for n, v := range m {
if v == "" {
continue
}
if n == "__name__" {
metricName = v
}
@@ -26,9 +30,5 @@ func unmarshalLabels(s string, fingerprint uint64) ([]prompb.Label, string, erro
Value: v,
})
}
res = append(res, prompb.Label{
Name: prometheus.FingerprintAsPromLabelName,
Value: strconv.FormatUint(fingerprint, 10),
})
return res, metricName, nil
}

View File

@@ -1,39 +0,0 @@
package prometheus
import (
"github.com/SigNoz/signoz/pkg/errors"
"github.com/prometheus/prometheus/model/labels"
"github.com/prometheus/prometheus/promql"
)
const FingerprintAsPromLabelName string = "fingerprint"
func RemoveExtraLabels(res *promql.Result, labelsToRemove ...string) error {
if len(labelsToRemove) == 0 || res == nil {
return nil
}
switch res.Value.(type) {
case promql.Vector:
value := res.Value.(promql.Vector)
for i := range value {
b := labels.NewBuilder(value[i].Metric)
b.Del(labelsToRemove...)
newLabels := b.Labels()
value[i].Metric = newLabels
}
case promql.Matrix:
value := res.Value.(promql.Matrix)
for i := range value {
b := labels.NewBuilder(value[i].Metric)
b.Del(labelsToRemove...)
newLabels := b.Labels()
value[i].Metric = newLabels
}
case promql.Scalar:
return nil
default:
return errors.NewInternalf(errors.CodeInternal, "rule result is not a vector or scalar or matrix")
}
return nil
}

View File

@@ -1,107 +0,0 @@
package prometheustest
import (
"testing"
"github.com/SigNoz/signoz/pkg/prometheus"
"github.com/prometheus/prometheus/model/labels"
"github.com/prometheus/prometheus/promql"
)
func TestRemoveExtraLabels(t *testing.T) {
tests := []struct {
name string
res *promql.Result
remove []string
wantErr bool
verify func(t *testing.T, result *promql.Result, removed []string)
}{
{
name: "vector label removed",
res: &promql.Result{
Value: promql.Vector{
promql.Sample{
Metric: labels.FromStrings(
"__name__", "http_requests_total",
"job", "demo",
"drop_me", "dropped",
),
},
},
},
remove: []string{"drop_me"},
verify: func(t *testing.T, result *promql.Result, removed []string) {
k := result.Value.(promql.Vector)
for _, str := range removed {
get := k[0].Metric.Get(str)
if get != "" {
t.Fatalf("label not removed")
}
}
},
},
{
name: "scalar nothing to strip",
res: &promql.Result{
Value: promql.Scalar{V: 99, T: 1},
},
remove: []string{"irrelevant"},
verify: func(t *testing.T, result *promql.Result, removed []string) {
sc := result.Value.(promql.Scalar)
if sc.V != 99 || sc.T != 1 {
t.Fatalf("scalar unexpectedly modified: got %+v", sc)
}
},
},
{
name: "matrix label removed",
res: &promql.Result{
Value: promql.Matrix{
promql.Series{
Metric: labels.FromStrings(
"__name__", "http_requests_total",
"pod", "p0",
"drop_me", "dropped",
),
Floats: []promql.FPoint{{T: 0, F: 1}, {T: 1, F: 2}},
},
promql.Series{
Metric: labels.FromStrings(
"__name__", "http_requests_total",
"pod", "p0",
"drop_me", "dropped",
),
Floats: []promql.FPoint{{T: 0, F: 1}, {T: 1, F: 2}},
},
},
},
remove: []string{"drop_me"},
verify: func(t *testing.T, result *promql.Result, removed []string) {
mat := result.Value.(promql.Matrix)
for _, str := range removed {
for _, k := range mat {
if k.Metric.Get(str) != "" {
t.Fatalf("label not removed")
}
}
}
},
},
}
for _, tc := range tests {
t.Run(tc.name, func(t *testing.T) {
err := prometheus.RemoveExtraLabels(tc.res, tc.remove...)
if tc.wantErr && err == nil {
t.Fatalf("expected error, got nil")
}
if !tc.wantErr && err != nil {
t.Fatalf("unexpected error: %v", err)
}
if tc.verify != nil {
tc.verify(t, tc.res, tc.remove)
}
})
}
}

View File

@@ -327,11 +327,14 @@ 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)
}
// 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
// every exporter version's keys.
excludeLabel := func(labelName string) bool {
if labelName == "__name__" {
return false
}
return strings.HasPrefix(labelName, "__") || labelName == "fingerprint"
return labelName == "__temporality__" ||
strings.HasPrefix(labelName, "__scope.") ||
strings.HasPrefix(labelName, "__resource.")
}
var series []*qbv5.TimeSeries

View File

@@ -247,10 +247,6 @@ func (r *ClickHouseReader) GetInstantQueryMetricsResult(ctx context.Context, que
}
qry.Close()
err = prometheus.RemoveExtraLabels(res, prometheus.FingerprintAsPromLabelName)
if err != nil {
return nil, nil, &model.ApiError{Typ: model.ErrorInternal, Err: err}
}
return res, &qs, nil
}
@@ -271,10 +267,6 @@ func (r *ClickHouseReader) GetQueryRangeResult(ctx context.Context, query *model
}
qry.Close()
err = prometheus.RemoveExtraLabels(res, prometheus.FingerprintAsPromLabelName)
if err != nil {
return nil, nil, &model.ApiError{Typ: model.ErrorInternal, Err: err}
}
return res, &qs, nil
}

View File

@@ -237,7 +237,7 @@ func TestManager_TestNotification_SendUnmatched_PromRule(t *testing.T) {
// Mock the fingerprint query (for Prometheus label matching)
mock.ExpectQuery("SELECT fingerprint, any").
WithArgs("test_metric", "__name__", "test_metric").
WithArgs("test_metric").
WillReturnRows(fingerprintRows)
// Mock the samples query (for Prometheus metric data)
@@ -245,8 +245,6 @@ func TestManager_TestNotification_SendUnmatched_PromRule(t *testing.T) {
WithArgs(
"test_metric",
"test_metric",
"__name__",
"test_metric",
queryStart,
queryEnd,
).

View File

@@ -387,11 +387,6 @@ func (r *PromRule) RunAlertQuery(ctx context.Context, qs string, start, end time
return nil, res.Err
}
err = prometheus.RemoveExtraLabels(res, prometheus.FingerprintAsPromLabelName)
if err != nil {
return nil, err
}
switch typ := res.Value.(type) {
case promql.Vector:
series := make([]promql.Series, 0, len(typ))

View File

@@ -925,20 +925,18 @@ func TestPromRuleUnitCombinations(t *testing.T) {
}
samplesRows := cmock.NewRows(samplesCols, samplesData)
// args: $1=metric_name, $2=label_name, $3=label_value
// args: $1=metric_name (the __name__ matcher maps onto the column)
telemetryStore.Mock().
ExpectQuery("SELECT fingerprint, any").
WithArgs("test_metric", "__name__", "test_metric").
WithArgs("test_metric").
WillReturnRows(fingerprintRows)
// args: $1=metric_name (outer), $2=metric_name (subquery), $3=label_name, $4=label_value, $5=start, $6=end
// args: $1=metric_name IN (discovered names), $2=metric_name (subquery), $3=start, $4=end
telemetryStore.Mock().
ExpectQuery("SELECT metric_name, fingerprint, unix_milli").
WithArgs(
"test_metric",
"test_metric",
"__name__",
"test_metric",
queryStart,
queryEnd,
).
@@ -1063,7 +1061,7 @@ func TestPromRuleNoData(t *testing.T) {
// no rows == no data
telemetryStore.Mock().
ExpectQuery("SELECT fingerprint, any").
WithArgs("test_metric", "__name__", "test_metric").
WithArgs("test_metric").
WillReturnRows(fingerprintRows)
promProvider := prometheustest.New(context.Background(), instrumentationtest.New().ToProviderSettings(), prometheus.Config{Timeout: 2 * time.Minute}, telemetryStore)
@@ -1273,7 +1271,7 @@ func TestMultipleThresholdPromRule(t *testing.T) {
telemetryStore.Mock().
ExpectQuery("SELECT fingerprint, any").
WithArgs("test_metric", "__name__", "test_metric").
WithArgs("test_metric").
WillReturnRows(fingerprintRows)
telemetryStore.Mock().
@@ -1281,8 +1279,6 @@ func TestMultipleThresholdPromRule(t *testing.T) {
WithArgs(
"test_metric",
"test_metric",
"__name__",
"test_metric",
queryStart,
queryEnd,
).
@@ -1439,12 +1435,12 @@ func TestPromRule_NoData(t *testing.T) {
labelsJSON := `{"__name__":"test_metric"}`
telemetryStore.Mock().
ExpectQuery("SELECT fingerprint, any").
WithArgs("test_metric", "__name__", "test_metric").
WithArgs("test_metric").
WillReturnRows(cmock.NewRows(fingerprintCols, [][]any{{fingerprint, labelsJSON}}))
telemetryStore.Mock().
ExpectQuery("SELECT metric_name, fingerprint, unix_milli").
WithArgs("test_metric", "test_metric", "__name__", "test_metric", queryStart, queryEnd).
WithArgs("test_metric", "test_metric", queryStart, queryEnd).
WillReturnRows(cmock.NewRows(samplesCols, [][]any{}))
promProvider := prometheustest.New(
@@ -1575,11 +1571,11 @@ func TestPromRule_NoData_AbsentFor(t *testing.T) {
queryStart1, queryEnd1 := calcQueryRange(t1)
telemetryStore.Mock().
ExpectQuery("SELECT fingerprint, any").
WithArgs("test_metric", "__name__", "test_metric").
WithArgs("test_metric").
WillReturnRows(cmock.NewRows(fingerprintCols, [][]any{{fingerprint, labelsJSON}}))
telemetryStore.Mock().
ExpectQuery("SELECT metric_name, fingerprint, unix_milli").
WithArgs("test_metric", "test_metric", "__name__", "test_metric", queryStart1, queryEnd1).
WithArgs("test_metric", "test_metric", queryStart1, queryEnd1).
WillReturnRows(cmock.NewRows(samplesCols, [][]any{
// Data points in the past relative to t1
{"test_metric", fingerprint, baseTime.UnixMilli(), 100.0, uint32(0)},
@@ -1591,11 +1587,11 @@ func TestPromRule_NoData_AbsentFor(t *testing.T) {
queryStart2, queryEnd2 := calcQueryRange(t2)
telemetryStore.Mock().
ExpectQuery("SELECT fingerprint, any").
WithArgs("test_metric", "__name__", "test_metric").
WithArgs("test_metric").
WillReturnRows(cmock.NewRows(fingerprintCols, [][]any{{fingerprint, labelsJSON}}))
telemetryStore.Mock().
ExpectQuery("SELECT metric_name, fingerprint, unix_milli").
WithArgs("test_metric", "test_metric", "__name__", "test_metric", queryStart2, queryEnd2).
WithArgs("test_metric", "test_metric", queryStart2, queryEnd2).
WillReturnRows(cmock.NewRows(samplesCols, [][]any{})) // empty - no data
promProvider := prometheustest.New(
@@ -1752,11 +1748,11 @@ func TestPromRuleEval_RequireMinPoints(t *testing.T) {
telemetryStore := telemetrystoretest.New(telemetrystore.Config{}, &queryMatcherAny{})
telemetryStore.Mock().
ExpectQuery("SELECT fingerprint, any").
WithArgs("test_metric", "__name__", "test_metric").
WithArgs("test_metric").
WillReturnRows(cmock.NewRows(fingerprintCols, fingerprintData))
telemetryStore.Mock().
ExpectQuery("SELECT metric_name, fingerprint, unix_milli").
WithArgs("test_metric", "test_metric", "__name__", "test_metric", queryStart, queryEnd).
WithArgs("test_metric", "test_metric", queryStart, queryEnd).
WillReturnRows(cmock.NewRows(samplesCols, samplesData))
promProvider := prometheustest.New(
context.Background(),

View File

@@ -0,0 +1,641 @@
// Package promqltestcorpus extracts an absolute-truth conformance corpus from
// the upstream Prometheus promqltest testdata scripts.
//
// The integration suites compare our PromQL serving paths against each other
// (parity) or against nothing (smoke); both are blind to a bug that moves the
// oracle — anything that changes what the engine is fed. This corpus is the
// third leg: the samples come from upstream's own load notation (parsed by
// upstream's parser), the expected outputs are computed by the vendored
// reference engine over those samples, and both are frozen to JSON. The
// Python suite tests/integration/tests/promqlconformance replays ingestion
// and asserts API responses against the frozen expectations — an oracle that
// does not move when the querier or the transpiler changes.
//
// Regenerate (after bumping the vendored Prometheus) with:
//
// PROMQLTEST_CORPUS_OUT=tests/integration/testdata/promqltestcorpus/corpus.json \
// go test ./scripts/promqltestcorpus/ -run TestGenerateCorpus -v
//
// The generator is an env-gated test rather than a main package because
// promqltest.LoadedStorage takes a testing.TB.
package promqltestcorpus
import (
"context"
"encoding/json"
"fmt"
"math"
"os"
"os/exec"
"path/filepath"
"regexp"
"strconv"
"strings"
"testing"
"time"
"github.com/prometheus/common/model"
"github.com/prometheus/prometheus/model/labels"
"github.com/prometheus/prometheus/model/value"
"github.com/prometheus/prometheus/promql"
"github.com/prometheus/prometheus/promql/parser"
"github.com/prometheus/prometheus/promql/promqltest"
"github.com/prometheus/prometheus/tsdb/chunkenc"
"github.com/prometheus/prometheus/util/teststorage"
"github.com/stretchr/testify/require"
)
// Calendar and wall-clock functions are not invariant under time
// translation, and the Python suite shifts every case to recent timestamps
// (epoch-0 samples would sit 55 years past ClickHouse TTLs). Everything else
// PromQL computes depends only on time differences.
var timeDependentFuncs = map[string]bool{
"time": true, "timestamp": true, "month": true, "year": true,
"minute": true, "hour": true, "day_of_month": true, "day_of_week": true,
"day_of_year": true, "days_in_month": true,
}
const (
lookbackMs = 300_000
instantStepMs = 1_000
maxSamples = 50_000_000
)
type corpusSeries struct {
Labels map[string]string `json:"labels"`
Samples [][2]any `json:"samples"` // [offset_ms, value]
}
type corpusDataset struct {
ID int `json:"id"`
Source string `json:"source"`
Series []corpusSeries `json:"series"`
}
type corpusPoint = [2]any // [offset_ms, value]
type corpusResult struct {
Labels map[string]string `json:"labels"`
Points []corpusPoint `json:"points"`
}
type corpusCase struct {
Dataset int `json:"dataset"`
Source string `json:"source"`
Variant string `json:"variant"`
Expr string `json:"expr"`
StartMs int64 `json:"start_ms"`
EndMs int64 `json:"end_ms"`
StepMs int64 `json:"step_ms"`
Instant bool `json:"instant"`
Expected []corpusResult `json:"expected"`
}
type corpus struct {
Meta struct {
PrometheusVersion string `json:"prometheus_version"`
LookbackMs int64 `json:"lookback_ms"`
InstantStepMs int64 `json:"instant_step_ms"`
Note string `json:"note"`
} `json:"meta"`
Datasets []corpusDataset `json:"datasets"`
Cases []corpusCase `json:"cases"`
}
// command is one column-0 block of a .test script with its attached
// continuation lines.
type command struct {
kind string // "load" | "eval" | "clear" | "skip"
head string
body []string
line int
}
var (
evalInstantRe = regexp.MustCompile(`^eval\s+instant\s+at\s+(\S+)\s+(.+)$`)
evalRangeRe = regexp.MustCompile(`^eval\s+range\s+from\s+(\S+)\s+to\s+(\S+)\s+step\s+(\S+)\s+(.+)$`)
)
func TestGenerateCorpus(t *testing.T) {
out := os.Getenv("PROMQLTEST_CORPUS_OUT")
if out == "" {
t.Skip("set PROMQLTEST_CORPUS_OUT to generate the corpus")
}
promDir, promVersion := prometheusModule(t)
testdataDir := filepath.Join(promDir, "promql", "promqltest", "testdata")
files, err := filepath.Glob(filepath.Join(testdataDir, "*.test"))
require.NoError(t, err)
require.NotEmpty(t, files)
// NewTestEngine's options minus EnableDelayedNameRemoval: upstream's
// testdata assumes that feature, but the Prometheus server default and
// our engine (pkg/prometheus/engine.go) run with it off — the oracle
// must model the semantics we serve.
engine := promqltest.NewTestEngineWithOpts(t, promql.EngineOpts{
MaxSamples: maxSamples,
Timeout: 100 * time.Second,
NoStepSubqueryIntervalFn: func(int64) int64 { return time.Minute.Milliseconds() },
EnableAtModifier: true,
EnableNegativeOffset: true,
LookbackDelta: lookbackMs * time.Millisecond,
Parser: parser.NewParser(promqltest.TestParserOpts),
})
seriesParser := parser.NewParser(promqltest.TestParserOpts)
// Standard options: an expression the server-side parser would reject is
// not servable, so it must not enter the corpus.
exprParser := parser.NewParser(parser.Options{})
var c corpus
c.Meta.PrometheusVersion = promVersion
c.Meta.LookbackMs = lookbackMs
c.Meta.InstantStepMs = instantStepMs
c.Meta.Note = "expected values carry the API's 3-significant-decimal rounding (querybuildertypesv5 sanitizeValue); instant evals are encoded as start==end range queries"
skips := map[string]int{}
datasetIDs := map[string]int{}
for _, file := range files {
base := filepath.Base(file)
if base == "native_histograms.test" || base == "type_and_unit.test" {
// native histograms: the samples pipeline under test stores
// floats; type_and_unit: experimental __type__/__unit__ metadata
// labels our store does not materialize.
skips["file:"+strings.TrimSuffix(base, ".test")]++
continue
}
raw, err := os.ReadFile(file)
require.NoError(t, err)
cmds := splitCommands(string(raw))
segment := 0
var loads []command
segmentBad := "" // non-empty: reason the segment cannot be represented
for _, cmd := range cmds {
switch cmd.kind {
case "clear":
segment++
loads = nil
segmentBad = ""
case "skip":
skips["command:"+cmd.head]++
case "load":
if reason := checkLoad(seriesParser, cmd); reason != "" {
segmentBad = reason
skips["load:"+reason]++
continue
}
loads = append(loads, cmd)
case "eval":
if segmentBad != "" {
skips["segment:"+segmentBad]++
continue
}
if len(loads) == 0 {
skips["eval:no-data"]++
continue
}
ccs, reason := buildCases(t, engine, exprParser, cmd, loads)
if reason != "" {
skips["eval:"+reason]++
continue
}
key := fmt.Sprintf("%s#%d#%d", base, segment, len(loads))
id, ok := datasetIDs[key]
if !ok {
ds, reason := dumpDataset(t, loads)
if reason != "" {
skips["dataset:"+reason]++
continue
}
id = len(c.Datasets)
datasetIDs[key] = id
ds.ID = id
ds.Source = key
c.Datasets = append(c.Datasets, *ds)
}
for _, cc := range ccs {
cc.Dataset = id
cc.Source = fmt.Sprintf("%s:%d", base, cmd.line)
c.Cases = append(c.Cases, cc)
}
}
}
}
require.NotEmpty(t, c.Cases)
buf, err := json.MarshalIndent(&c, "", " ")
require.NoError(t, err)
require.NoError(t, os.WriteFile(out, buf, 0o644))
t.Logf("wrote %s: %d cases over %d datasets", out, len(c.Cases), len(c.Datasets))
for k, n := range skips {
t.Logf("skipped %5d %s", n, k)
}
}
func prometheusModule(t *testing.T) (dir, version string) {
t.Helper()
outDir, err := exec.Command("go", "list", "-m", "-f", "{{.Dir}}", "github.com/prometheus/prometheus").Output()
require.NoError(t, err)
outVer, err := exec.Command("go", "list", "-m", "-f", "{{.Version}}", "github.com/prometheus/prometheus").Output()
require.NoError(t, err)
return strings.TrimSpace(string(outDir)), strings.TrimSpace(string(outVer))
}
// splitCommands tokenizes a .test script into column-0 commands with their
// indented/attached lines. Only the block structure is parsed here — series
// notation and expected outputs stay upstream's business.
func splitCommands(script string) []command {
var cmds []command
var cur *command
for i, line := range strings.Split(script, "\n") {
trimmed := strings.TrimSpace(line)
if trimmed == "" || strings.HasPrefix(trimmed, "#") {
cur = nil
continue
}
isTop := line[0] != ' ' && line[0] != '\t'
if isTop {
switch {
case trimmed == "clear":
cmds = append(cmds, command{kind: "clear", line: i + 1})
cur = nil
case strings.HasPrefix(trimmed, "load"):
cmds = append(cmds, command{kind: "load", head: trimmed, line: i + 1})
cur = &cmds[len(cmds)-1]
case evalInstantRe.MatchString(trimmed) || evalRangeRe.MatchString(trimmed):
cmds = append(cmds, command{kind: "eval", head: trimmed, line: i + 1})
cur = &cmds[len(cmds)-1]
case strings.HasPrefix(trimmed, "eval"):
// eval_fail / eval_warn / eval_info / eval_ordered: the
// assertion is about errors, warnings or ordering — none of
// which cross the API comparably.
cmds = append(cmds, command{kind: "skip", head: strings.Fields(trimmed)[0], line: i + 1})
cur = nil
default:
cmds = append(cmds, command{kind: "skip", head: strings.Fields(trimmed)[0], line: i + 1})
cur = nil
}
continue
}
if cur != nil {
cur.body = append(cur.body, trimmed)
}
}
return cmds
}
// checkLoad validates a load block is representable: parsable series
// notation, float samples only ("load_with_nhcb" and histogram literals are
// out of scope — the samples pipeline under test stores float samples).
func checkLoad(p parser.Parser, cmd command) string {
fields := strings.Fields(cmd.head)
if len(fields) != 2 || fields[0] != "load" {
return "unsupported-load-variant"
}
if _, err := model.ParseDuration(fields[1]); err != nil {
return "bad-interval"
}
for _, line := range cmd.body {
metric, vals, err := p.ParseSeriesDesc(line)
if err != nil {
return "unparsable-series"
}
if metric.Get(model.MetricNameLabel) == "" {
return "unnamed-series"
}
for _, v := range vals {
if v.Histogram != nil {
return "histogram-samples"
}
}
}
return ""
}
// buildCases parses one eval header, filters unservable expressions, and
// emits the base case plus grid variants — each with expectations computed by
// the reference engine over the loads. The variants exist because upstream's
// own grids are fine-stepped: without them the coarse-step code paths (the
// window-sliver filter, the disjoint over_time form, the lifted instant/last
// gates) would pass through this corpus untouched. A variant is just another
// durationExprUsesRange reports whether a duration-expression tree contains
// range(). Instant evals are encoded as one-step range queries (the API
// rejects start == end), which changes what range() evaluates to, so they
// cannot carry it; range evals keep it — each variant's oracle is computed
// on the exact window it requests.
func durationExprUsesRange(e parser.Expr) bool {
d, ok := e.(*parser.DurationExpr)
if !ok || d == nil {
return false
}
if d.Op == parser.RANGE {
return true
}
return durationExprUsesRange(d.LHS) || durationExprUsesRange(d.RHS)
}
// grid over the same data and expression; the engine is the oracle either way.
func buildCases(t *testing.T, engine *promql.Engine, exprParser parser.Parser, cmd command, loads []command) ([]corpusCase, string) {
t.Helper()
for _, line := range cmd.body {
if strings.HasPrefix(line, "expect fail") {
return nil, "expect-fail"
}
}
base := corpusCase{Variant: "base"}
if m := evalInstantRe.FindStringSubmatch(cmd.head); m != nil {
at, err := parseTestDuration(m[1])
if err != nil {
return nil, "bad-duration"
}
base.Instant = true
base.StartMs, base.EndMs, base.StepMs = at, at, instantStepMs
base.Expr = m[2]
} else if m := evalRangeRe.FindStringSubmatch(cmd.head); m != nil {
from, err1 := parseTestDuration(m[1])
to, err2 := parseTestDuration(m[2])
step, err3 := parseTestDuration(m[3])
if err1 != nil || err2 != nil || err3 != nil {
return nil, "bad-duration"
}
if step <= 0 || to < from {
return nil, "bad-grid"
}
base.StartMs, base.EndMs, base.StepMs = from, to, step
base.Expr = m[4]
} else {
return nil, "unrecognized"
}
expr, err := exprParser.ParseExpr(base.Expr)
if err != nil {
return nil, "needs-experimental-parser"
}
if vt := expr.Type(); vt != parser.ValueTypeVector && vt != parser.ValueTypeScalar {
return nil, "non-instant-type"
}
unservable := ""
hasSelector := false
hasSubquery := false
var maxRangeMs int64
parser.Inspect(expr, func(node parser.Node, _ []parser.Node) error {
switch n := node.(type) {
case *parser.Call:
if timeDependentFuncs[n.Func.Name] {
unservable = "time-dependent"
}
case *parser.VectorSelector:
hasSelector = true
if n.Timestamp != nil || n.StartOrEnd != 0 {
unservable = "at-modifier"
}
if n.OriginalOffset < 0 {
// The server ships with negative offsets disabled.
unservable = "negative-offset"
}
if base.Instant && durationExprUsesRange(n.OriginalOffsetExpr) {
unservable = "range-duration-in-instant"
}
for _, m := range n.LabelMatchers {
if m.Name == "__type__" || m.Name == "__unit__" {
unservable = "type-unit-metadata"
}
}
case *parser.MatrixSelector:
if r := n.Range.Milliseconds(); r > maxRangeMs {
maxRangeMs = r
}
if base.Instant && durationExprUsesRange(n.RangeExpr) {
unservable = "range-duration-in-instant"
}
case *parser.SubqueryExpr:
hasSubquery = true
if n.Timestamp != nil || n.StartOrEnd != 0 {
unservable = "at-modifier"
}
if n.OriginalOffset < 0 {
unservable = "negative-offset"
}
if base.Instant && (durationExprUsesRange(n.RangeExpr) || durationExprUsesRange(n.StepExpr) || durationExprUsesRange(n.OriginalOffsetExpr)) {
unservable = "range-duration-in-instant"
}
}
return nil
})
if unservable != "" {
return nil, unservable
}
stor := loadStorage(t, loads)
defer stor.Close()
expected, reason := computeExpected(engine, stor, base.Expr, base.StartMs, base.EndMs, base.StepMs)
if reason != "" {
return nil, reason
}
base.Expected = expected
out := []corpusCase{base}
// Grid variants. Subquery expressions keep their own inner grids; varying
// the outer grid there multiplies cases without steering the code paths
// the variants exist for, so they emit only the base.
if hasSubquery || !hasSelector {
return out, ""
}
type variant struct {
name string
startMs, endMs, stepMs int64
}
var variants []variant
if base.Instant {
// A coarse multi-point grid ending at the instant: step above the
// 5m lookback drives the lifted instant gate and the sliver filter.
const coarse = 600_000
variants = append(variants, variant{"instant-coarse", base.EndMs - 2*coarse, base.EndMs, coarse})
} else {
span := base.EndMs - base.StartMs
if maxRangeMs > 0 {
// Step wider than every window in the expression: the sliver
// filter and the disjoint over_time form become active.
if coarse := 2 * maxRangeMs; span >= coarse {
variants = append(variants, variant{"coarse-step", base.StartMs, base.EndMs, coarse})
}
// Whole-bucket tiling (range == 2 steps) drives the windowed
// over_time slide with W = 2.
if tiled := maxRangeMs / 2; tiled >= 1000 && maxRangeMs%2000 == 0 && tiled != base.StepMs && span >= tiled {
variants = append(variants, variant{"tiled", base.StartMs, base.EndMs, tiled})
}
}
// A start off every natural alignment shifts which samples each
// window sees; an end short of the lattice exercises the
// last-grid-point handling.
if span > 17_000 {
variants = append(variants, variant{"unaligned-start", base.StartMs + 17_000, base.EndMs, base.StepMs})
}
if lastIdx := span / base.StepMs; lastIdx >= 2 {
offEnd := base.StartMs + lastIdx*base.StepMs - base.StepMs/3
variants = append(variants, variant{"off-lattice-end", base.StartMs, offEnd, base.StepMs})
}
}
for _, v := range variants {
if v.stepMs <= 0 || v.endMs <= v.startMs || v.stepMs%1000 != 0 {
continue
}
expected, reason := computeExpected(engine, stor, base.Expr, v.startMs, v.endMs, v.stepMs)
if reason != "" {
continue
}
out = append(out, corpusCase{
Variant: v.name, Expr: base.Expr,
StartMs: v.startMs, EndMs: v.endMs, StepMs: v.stepMs,
Expected: expected,
})
}
return out, ""
}
// computeExpected evaluates the expression on one grid with the reference
// engine and serializes the result with the API's value rounding.
func computeExpected(engine *promql.Engine, stor *teststorage.TestStorage, expr string, startMs, endMs, stepMs int64) ([]corpusResult, string) {
qry, err := engine.NewRangeQuery(context.Background(), stor, nil, expr,
time.UnixMilli(startMs), time.UnixMilli(endMs), time.Duration(stepMs)*time.Millisecond)
if err != nil {
return nil, "engine-parse"
}
defer qry.Close()
res := qry.Exec(context.Background())
if res.Err != nil {
// Covers upstream's expected-error cases and engine features the
// range form cannot evaluate; a case we cannot compute is a case we
// cannot assert.
return nil, "engine-error"
}
matrix, ok := res.Value.(promql.Matrix)
if !ok {
return nil, "non-matrix-result"
}
expected := []corpusResult{}
for _, s := range matrix {
if len(s.Histograms) > 0 {
return nil, "histogram-result"
}
r := corpusResult{Labels: s.Metric.Map(), Points: []corpusPoint{}}
for _, p := range s.Floats {
r.Points = append(r.Points, corpusPoint{p.T, encodeFloat(roundToNonZeroDecimals(p.F, 3))})
}
expected = append(expected, r)
}
return expected, ""
}
func loadStorage(t *testing.T, loads []command) *teststorage.TestStorage {
t.Helper()
var b strings.Builder
for _, l := range loads {
b.WriteString(l.head)
b.WriteString("\n")
for _, line := range l.body {
b.WriteString(" ")
b.WriteString(line)
b.WriteString("\n")
}
b.WriteString("\n")
}
return promqltest.LoadedStorage(t, b.String())
}
// dumpDataset walks the loaded storage and serializes every float sample.
func dumpDataset(t *testing.T, loads []command) (*corpusDataset, string) {
t.Helper()
stor := loadStorage(t, loads)
defer stor.Close()
q, err := stor.Querier(math.MinInt64/2, math.MaxInt64/2)
if err != nil {
return nil, "querier"
}
defer q.Close()
ds := &corpusDataset{}
ss := q.Select(context.Background(), true, nil, labels.MustNewMatcher(labels.MatchRegexp, model.MetricNameLabel, ".*"))
var it chunkenc.Iterator
for ss.Next() {
s := ss.At()
cs := corpusSeries{Labels: s.Labels().Map(), Samples: [][2]any{}}
it = s.Iterator(it)
for vt := it.Next(); vt != chunkenc.ValNone; vt = it.Next() {
if vt != chunkenc.ValFloat {
return nil, "histogram-samples"
}
ts, v := it.At()
if value.IsStaleNaN(v) {
cs.Samples = append(cs.Samples, [2]any{ts, "stale"})
continue
}
cs.Samples = append(cs.Samples, [2]any{ts, encodeFloat(v)})
}
ds.Series = append(ds.Series, cs)
}
if err := ss.Err(); err != nil {
return nil, "series-set"
}
return ds, ""
}
// parseTestDuration accepts promqltest's time notation: a Prometheus
// duration ("5m", "1m30s"), a bare "0", or bare seconds.
func parseTestDuration(s string) (int64, error) {
if d, err := model.ParseDuration(s); err == nil {
return int64(time.Duration(d) / time.Millisecond), nil
}
if n, err := strconv.ParseFloat(s, 64); err == nil {
return int64(n * 1000), nil
}
return 0, fmt.Errorf("unparsable duration %q", s)
}
func encodeFloat(f float64) any {
switch {
case math.IsNaN(f):
return "NaN"
case math.IsInf(f, 1):
return "Inf"
case math.IsInf(f, -1):
return "-Inf"
default:
return f
}
}
// roundToNonZeroDecimals mirrors querybuildertypesv5's sanitizeValue rounding
// (pkg/types/querybuildertypes/querybuildertypesv5/resp.go) so the frozen
// expectations equal what the API emits for the same float.
func roundToNonZeroDecimals(val float64, n int) float64 {
if val == 0 || math.IsNaN(val) || math.IsInf(val, 0) {
return val
}
absVal := math.Abs(val)
if absVal >= 1 {
multiplier := math.Pow(10, float64(n))
rounded := math.Round(val*multiplier) / multiplier
if math.IsInf(rounded, 0) {
// Mirrors the overflow guard in querybuildertypesv5.
return val
}
if rounded == math.Trunc(rounded) {
return rounded
}
str := strconv.FormatFloat(rounded, 'f', -1, 64)
result, _ := strconv.ParseFloat(str, 64)
return result
}
order := math.Floor(math.Log10(absVal))
scale := math.Pow(10, -order+float64(n)-1)
rounded := math.Round(val*scale) / scale
str := strconv.FormatFloat(rounded, 'f', -1, 64)
result, _ := strconv.ParseFloat(str, 64)
return result
}

View File

@@ -0,0 +1,103 @@
module github.com/SigNoz/signoz/scripts/promqltestcorpus
go 1.25.7
require (
github.com/prometheus/common v0.67.5
github.com/prometheus/prometheus v0.311.3
github.com/stretchr/testify v1.11.1
)
require (
cloud.google.com/go/auth v0.18.2 // indirect
cloud.google.com/go/auth/oauth2adapt v0.2.8 // indirect
cloud.google.com/go/compute/metadata v0.9.0 // indirect
github.com/Azure/azure-sdk-for-go/sdk/azcore v1.21.0 // indirect
github.com/Azure/azure-sdk-for-go/sdk/azidentity v1.13.1 // indirect
github.com/Azure/azure-sdk-for-go/sdk/internal v1.11.2 // indirect
github.com/AzureAD/microsoft-authentication-library-for-go v1.6.0 // indirect
github.com/alecthomas/units v0.0.0-20240927000941-0f3dac36c52b // indirect
github.com/aws/aws-sdk-go-v2 v1.41.4 // indirect
github.com/aws/aws-sdk-go-v2/config v1.32.12 // indirect
github.com/aws/aws-sdk-go-v2/credentials v1.19.12 // indirect
github.com/aws/aws-sdk-go-v2/feature/ec2/imds v1.18.20 // indirect
github.com/aws/aws-sdk-go-v2/internal/configsources v1.4.20 // indirect
github.com/aws/aws-sdk-go-v2/internal/endpoints/v2 v2.7.20 // indirect
github.com/aws/aws-sdk-go-v2/internal/ini v1.8.6 // indirect
github.com/aws/aws-sdk-go-v2/service/internal/accept-encoding v1.13.7 // indirect
github.com/aws/aws-sdk-go-v2/service/internal/presigned-url v1.13.20 // indirect
github.com/aws/aws-sdk-go-v2/service/signin v1.0.8 // indirect
github.com/aws/aws-sdk-go-v2/service/sso v1.30.13 // indirect
github.com/aws/aws-sdk-go-v2/service/ssooidc v1.35.17 // indirect
github.com/aws/aws-sdk-go-v2/service/sts v1.41.9 // indirect
github.com/aws/smithy-go v1.24.2 // indirect
github.com/bboreham/go-loser v0.0.0-20230920113527-fcc2c21820a3 // indirect
github.com/beorn7/perks v1.0.1 // indirect
github.com/cespare/xxhash/v2 v2.3.0 // indirect
github.com/davecgh/go-spew v1.1.2-0.20180830191138-d8f796af33cc // indirect
github.com/dennwc/varint v1.0.0 // indirect
github.com/edsrzf/mmap-go v1.2.0 // indirect
github.com/facette/natsort v0.0.0-20181210072756-2cd4dd1e2dcb // indirect
github.com/felixge/httpsnoop v1.0.4 // indirect
github.com/fxamacker/cbor/v2 v2.9.0 // indirect
github.com/go-logr/logr v1.4.3 // indirect
github.com/go-logr/stdr v1.2.2 // indirect
github.com/golang-jwt/jwt/v5 v5.3.1 // indirect
github.com/golang/snappy v1.0.0 // indirect
github.com/google/go-cmp v0.7.0 // indirect
github.com/google/s2a-go v0.1.9 // indirect
github.com/google/uuid v1.6.0 // indirect
github.com/googleapis/enterprise-certificate-proxy v0.3.14 // indirect
github.com/googleapis/gax-go/v2 v2.18.0 // indirect
github.com/grafana/regexp v0.0.0-20250905093917-f7b3be9d1853 // indirect
github.com/jpillora/backoff v1.0.0 // indirect
github.com/json-iterator/go v1.1.12 // indirect
github.com/klauspost/compress v1.18.5 // indirect
github.com/kylelemons/godebug v1.1.0 // indirect
github.com/modern-go/concurrent v0.0.0-20180306012644-bacd9c7ef1dd // indirect
github.com/modern-go/reflect2 v1.0.3-0.20250322232337-35a7c28c31ee // indirect
github.com/munnerz/goautoneg v0.0.0-20191010083416-a7dc8b61c822 // indirect
github.com/mwitkow/go-conntrack v0.0.0-20190716064945-2f068394615f // indirect
github.com/oklog/ulid/v2 v2.1.1 // indirect
github.com/pkg/browser v0.0.0-20240102092130-5ac0b6a4141c // indirect
github.com/pmezard/go-difflib v1.0.1-0.20181226105442-5d4384ee4fb2 // indirect
github.com/prometheus/client_golang v1.23.2 // indirect
github.com/prometheus/client_golang/exp v0.0.0-20260325093428-d8591d0db856 // indirect
github.com/prometheus/client_model v0.6.2 // indirect
github.com/prometheus/otlptranslator v1.0.0 // indirect
github.com/prometheus/procfs v0.16.1 // indirect
github.com/prometheus/sigv4 v0.4.1 // indirect
github.com/x448/float16 v0.8.4 // indirect
go.opentelemetry.io/auto/sdk v1.2.1 // indirect
go.opentelemetry.io/contrib/instrumentation/net/http/otelhttp v0.67.0 // indirect
go.opentelemetry.io/otel v1.42.0 // indirect
go.opentelemetry.io/otel/metric v1.42.0 // indirect
go.opentelemetry.io/otel/trace v1.42.0 // indirect
go.uber.org/atomic v1.11.0 // indirect
go.uber.org/goleak v1.3.0 // indirect
go.yaml.in/yaml/v2 v2.4.4 // indirect
golang.org/x/crypto v0.49.0 // indirect
golang.org/x/exp v0.0.0-20260218203240-3dfff04db8fa // indirect
golang.org/x/net v0.52.0 // indirect
golang.org/x/oauth2 v0.36.0 // indirect
golang.org/x/sync v0.20.0 // indirect
golang.org/x/sys v0.42.0 // indirect
golang.org/x/term v0.41.0 // indirect
golang.org/x/text v0.35.0 // indirect
golang.org/x/time v0.15.0 // indirect
google.golang.org/api v0.272.0 // indirect
google.golang.org/genproto/googleapis/rpc v0.0.0-20260311181403-84a4fc48630c // indirect
google.golang.org/grpc v1.79.3 // indirect
google.golang.org/protobuf v1.36.11 // indirect
gopkg.in/inf.v0 v0.9.1 // indirect
gopkg.in/yaml.v3 v3.0.1 // indirect
k8s.io/apimachinery v0.35.3 // indirect
k8s.io/client-go v0.35.3 // indirect
k8s.io/klog/v2 v2.140.0 // indirect
k8s.io/kube-openapi v0.0.0-20250910181357-589584f1c912 // indirect
k8s.io/utils v0.0.0-20251002143259-bc988d571ff4 // indirect
sigs.k8s.io/json v0.0.0-20250730193827-2d320260d730 // indirect
sigs.k8s.io/randfill v1.0.0 // indirect
sigs.k8s.io/structured-merge-diff/v6 v6.3.0 // indirect
sigs.k8s.io/yaml v1.6.0 // indirect
)

View File

@@ -0,0 +1,449 @@
cloud.google.com/go/auth v0.18.2 h1:+Nbt5Ev0xEqxlNjd6c+yYUeosQ5TtEUaNcN/3FozlaM=
cloud.google.com/go/auth v0.18.2/go.mod h1:xD+oY7gcahcu7G2SG2DsBerfFxgPAJz17zz2joOFF3M=
cloud.google.com/go/auth/oauth2adapt v0.2.8 h1:keo8NaayQZ6wimpNSmW5OPc283g65QNIiLpZnkHRbnc=
cloud.google.com/go/auth/oauth2adapt v0.2.8/go.mod h1:XQ9y31RkqZCcwJWNSx2Xvric3RrU88hAYYbjDWYDL+c=
cloud.google.com/go/compute/metadata v0.9.0 h1:pDUj4QMoPejqq20dK0Pg2N4yG9zIkYGdBtwLoEkH9Zs=
cloud.google.com/go/compute/metadata v0.9.0/go.mod h1:E0bWwX5wTnLPedCKqk3pJmVgCBSM6qQI1yTBdEb3C10=
github.com/Azure/azure-sdk-for-go/sdk/azcore v1.21.0 h1:fou+2+WFTib47nS+nz/ozhEBnvU96bKHy6LjRsY4E28=
github.com/Azure/azure-sdk-for-go/sdk/azcore v1.21.0/go.mod h1:t76Ruy8AHvUAC8GfMWJMa0ElSbuIcO03NLpynfbgsPA=
github.com/Azure/azure-sdk-for-go/sdk/azidentity v1.13.1 h1:Hk5QBxZQC1jb2Fwj6mpzme37xbCDdNTxU7O9eb5+LB4=
github.com/Azure/azure-sdk-for-go/sdk/azidentity v1.13.1/go.mod h1:IYus9qsFobWIc2YVwe/WPjcnyCkPKtnHAqUYeebc8z0=
github.com/Azure/azure-sdk-for-go/sdk/azidentity/cache v0.3.2 h1:yz1bePFlP5Vws5+8ez6T3HWXPmwOK7Yvq8QxDBD3SKY=
github.com/Azure/azure-sdk-for-go/sdk/azidentity/cache v0.3.2/go.mod h1:Pa9ZNPuoNu/GztvBSKk9J1cDJW6vk/n0zLtV4mgd8N8=
github.com/Azure/azure-sdk-for-go/sdk/internal v1.11.2 h1:9iefClla7iYpfYWdzPCRDozdmndjTm8DXdpCzPajMgA=
github.com/Azure/azure-sdk-for-go/sdk/internal v1.11.2/go.mod h1:XtLgD3ZD34DAaVIIAyG3objl5DynM3CQ/vMcbBNJZGI=
github.com/Azure/azure-sdk-for-go/sdk/resourcemanager/compute/armcompute/v5 v5.7.0 h1:LkHbJbgF3YyvC53aqYGR+wWQDn2Rdp9AQdGndf9QvY4=
github.com/Azure/azure-sdk-for-go/sdk/resourcemanager/compute/armcompute/v5 v5.7.0/go.mod h1:QyiQdW4f4/BIfB8ZutZ2s+28RAgfa/pT+zS++ZHyM1I=
github.com/Azure/azure-sdk-for-go/sdk/resourcemanager/network/armnetwork/v4 v4.3.0 h1:bXwSugBiSbgtz7rOtbfGf+woewp4f06orW9OP5BjHLA=
github.com/Azure/azure-sdk-for-go/sdk/resourcemanager/network/armnetwork/v4 v4.3.0/go.mod h1:Y/HgrePTmGy9HjdSGTqZNa+apUpTVIEVKXJyARP2lrk=
github.com/AzureAD/microsoft-authentication-extensions-for-go/cache v0.1.1 h1:WJTmL004Abzc5wDB5VtZG2PJk5ndYDgVacGqfirKxjM=
github.com/AzureAD/microsoft-authentication-extensions-for-go/cache v0.1.1/go.mod h1:tCcJZ0uHAmvjsVYzEFivsRTN00oz5BEsRgQHu5JZ9WE=
github.com/AzureAD/microsoft-authentication-library-for-go v1.6.0 h1:XRzhVemXdgvJqCH0sFfrBUTnUJSBrBf7++ypk+twtRs=
github.com/AzureAD/microsoft-authentication-library-for-go v1.6.0/go.mod h1:HKpQxkWaGLJ+D/5H8QRpyQXA1eKjxkFlOMwck5+33Jk=
github.com/Code-Hex/go-generics-cache v1.5.1 h1:6vhZGc5M7Y/YD8cIUcY8kcuQLB4cHR7U+0KMqAA0KcU=
github.com/Code-Hex/go-generics-cache v1.5.1/go.mod h1:qxcC9kRVrct9rHeiYpFWSoW1vxyillCVzX13KZG8dl4=
github.com/Microsoft/go-winio v0.6.2 h1:F2VQgta7ecxGYO8k3ZZz3RS8fVIXVxONVUPlNERoyfY=
github.com/Microsoft/go-winio v0.6.2/go.mod h1:yd8OoFMLzJbo9gZq8j5qaps8bJ9aShtEA8Ipt1oGCvU=
github.com/alecthomas/units v0.0.0-20240927000941-0f3dac36c52b h1:mimo19zliBX/vSQ6PWWSL9lK8qwHozUj03+zLoEB8O0=
github.com/alecthomas/units v0.0.0-20240927000941-0f3dac36c52b/go.mod h1:fvzegU4vN3H1qMT+8wDmzjAcDONcgo2/SZ/TyfdUOFs=
github.com/armon/go-metrics v0.4.1 h1:hR91U9KYmb6bLBYLQjyM+3j+rcd/UhE+G78SFnF8gJA=
github.com/armon/go-metrics v0.4.1/go.mod h1:E6amYzXo6aW1tqzoZGT755KkbgrJsSdpwZ+3JqfkOG4=
github.com/aws/aws-sdk-go-v2 v1.41.4 h1:10f50G7WyU02T56ox1wWXq+zTX9I1zxG46HYuG1hH/k=
github.com/aws/aws-sdk-go-v2 v1.41.4/go.mod h1:mwsPRE8ceUUpiTgF7QmQIJ7lgsKUPQOUl3o72QBrE1o=
github.com/aws/aws-sdk-go-v2/config v1.32.12 h1:O3csC7HUGn2895eNrLytOJQdoL2xyJy0iYXhoZ1OmP0=
github.com/aws/aws-sdk-go-v2/config v1.32.12/go.mod h1:96zTvoOFR4FURjI+/5wY1vc1ABceROO4lWgWJuxgy0g=
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View File

@@ -687,11 +687,17 @@ def insert_metrics_to_clickhouse(conn, metrics: list[Metrics]) -> None:
Pure function so the seeder container can reuse the exact insert path
used by the pytest fixture. `conn` is a clickhouse-connect Client.
"""
time_series_map: dict[int, MetricsTimeSeries] = {}
# One registration row per (series, hour bucket), unix_milli floored to
# the hour — the exporter's exact shape. Readers floor lookup windows to
# these buckets: skipping per-bucket re-registration or keeping raw
# mid-hour timestamps hides series in ways production never sees.
time_series_map: dict[tuple[int, int], MetricsTimeSeries] = {}
for metric in metrics:
fp = int(metric.time_series.fingerprint)
if fp not in time_series_map:
time_series_map[fp] = metric.time_series
hour_bucket = int(metric.time_series.unix_milli) // 3_600_000
if (fp, hour_bucket) not in time_series_map:
metric.time_series.unix_milli = np.int64(hour_bucket * 3_600_000)
time_series_map[(fp, hour_bucket)] = metric.time_series
if len(time_series_map) > 0:
conn.insert(

File diff suppressed because it is too large Load Diff

View File

@@ -0,0 +1,4 @@
{
"note": "Divergences of the CURRENT promql serving path from the upstream reference engine, enforced exactly by 01_upstream_corpus.py in both directions. These document shipped defects, not test debt: the dominant class is the v1 remote-read fetch injecting a synthetic 'fingerprint' label into every series (pkg/prometheus/clickhouseprometheus/json.go), which breaks without() grouping and default vector matching. Entries must be REMOVED as the serving path is fixed or swapped.",
"divergences": {}
}

View File

@@ -0,0 +1,263 @@
"""
Upstream promqltest conformance: replay the frozen corpus extracted from
Prometheus' own promql/promqltest testdata and assert our API returns the
reference engine's answers.
Unlike the parity suites, the oracle here is a committed file
(tests/integration/testdata/promqltestcorpus/corpus.json), generated by
scripts/promqltestcorpus from upstream's load scripts and the vendored
reference engine. It therefore keeps working when the serving path itself is
the thing being changed — the one situation where comparing two live paths
against each other is blind.
Datasets are placed on disjoint time windows (2h isolation gaps, far beyond
the 5m lookback) so one bulk ingest serves every case without cross-talk.
Expected values carry the API's 3-significant-decimal rounding, mirrored by
the generator; comparison allows one rounding quantum for ULP-at-boundary
noise between storage iteration orders.
"""
import json
import math
import os
from collections.abc import Callable
from datetime import UTC, datetime, timedelta
from http import HTTPStatus
from fixtures import types
from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
from fixtures.metrics import Metrics
from fixtures.querier import get_all_series, make_query_request
TESTDATA_DIR = os.path.join(os.path.dirname(__file__), "..", "..", "testdata")
CORPUS_FILE = os.path.join(TESTDATA_DIR, "promqltestcorpus", "corpus.json")
KNOWN_DIVERGENCES_FILE = os.path.join(
TESTDATA_DIR, "promqltestcorpus", "known_divergences.json"
)
ISOLATION_GAP_MS = 2 * 3600 * 1000
SPECIALS = {"NaN": math.nan, "Inf": math.inf, "-Inf": -math.inf}
def _decode(v: float | str) -> float:
if isinstance(v, str):
return SPECIALS[v]
return float(v)
def _values_close(a: float, b: float) -> bool:
if math.isnan(a) or math.isnan(b):
return math.isnan(a) and math.isnan(b)
if math.isinf(a) or math.isinf(b):
return a == b
if a == b:
return True
# Both sides carry the API's rounding (>=1: three decimal places; <1:
# three significant digits). A true value sitting exactly on a rounding
# boundary can round either way when the two computations differ at ULP
# level (float aggregation order over series is storage-iteration
# dependent), so allow one rounding quantum.
scale = max(abs(a), abs(b))
if scale >= 1:
# Values too large to round pass through unrounded; give those an
# ULP-class relative grace on top of the rounding quantum.
quantum = max(1e-3, scale * 1e-9)
else:
quantum = 10 ** (math.floor(math.log10(scale)) - 2)
return abs(a - b) <= quantum + 1e-12
def _labelset(labels: dict[str, str]) -> tuple:
return tuple(sorted(labels.items()))
def _response_series(data: dict) -> tuple[dict[tuple, dict[int, float]], list[tuple]]:
"""Returns (series map, duplicate labelsets). A response carrying several
series with identical visible labels is itself a defect signal (e.g. a
hidden grouping label stripped on the way out) and must not be silently
collapsed into one entry."""
out: dict[tuple, dict[int, float]] = {}
duplicates: list[tuple] = []
# Empty results serialize with null aggregations/series/values fields.
for series in get_all_series(data, "A") or []:
lbls = {l["key"]["name"]: str(l["value"]) for l in series.get("labels") or []}
points = {
int(v["timestamp"]): _decode(v["value"])
for v in series.get("values") or []
}
key = _labelset(lbls)
if key in out:
duplicates.append(key)
out[key] = points
return out, duplicates
def test_upstream_promqltest_corpus(
signoz: types.SigNoz,
create_user_admin: None, # pylint: disable=unused-argument
get_token: Callable[[str, str], str],
insert_metrics: Callable[[list[Metrics]], None],
) -> None:
with open(CORPUS_FILE, encoding="utf-8") as f:
corpus = json.load(f)
cases_by_dataset: dict[int, list[dict]] = {}
for case in corpus["cases"]:
cases_by_dataset.setdefault(case["dataset"], []).append(case)
# Lay datasets end to end on the timeline, newest last, ending safely in
# the past; spans are per-dataset so the whole corpus stays within days.
spans = {}
for ds in corpus["datasets"]:
sample_max = max(
(s["samples"][-1][0] for s in ds["series"] if s["samples"]), default=0
)
case_max = max((c["end_ms"] for c in cases_by_dataset.get(ds["id"], [])), default=0)
spans[ds["id"]] = max(sample_max, case_max) + corpus["meta"]["lookback_ms"]
# Hour-aligned dataset bases: registration rows are hour-bucketed, so
# behavior depends on where samples fall relative to hour boundaries —
# the exact known-divergences enforcement needs that identical every run.
hour_ms = 3_600_000
advances = {
ds["id"]: -(-(spans[ds["id"]] + ISOLATION_GAP_MS) // hour_ms) * hour_ms
for ds in corpus["datasets"]
}
total = sum(advances.values())
now = datetime.now(tz=UTC).replace(second=0, microsecond=0)
cursor = (
(int((now - timedelta(hours=1)).timestamp() * 1000) - total)
// hour_ms
* hour_ms
)
bases: dict[int, int] = {}
metrics: list[Metrics] = []
for ds in corpus["datasets"]:
bases[ds["id"]] = cursor
for series in ds["series"]:
labels = dict(series["labels"])
metric_name = labels.pop("__name__")
for off_ms, raw in series["samples"]:
stale = raw == "stale"
metrics.append(
Metrics(
metric_name=metric_name,
labels=labels,
timestamp=datetime.fromtimestamp(
(cursor + off_ms) / 1000, tz=UTC
),
value=0.0 if stale else _decode(raw),
flags=1 if stale else 0,
)
)
cursor += advances[ds["id"]]
insert_metrics(metrics)
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
failures: list[str] = []
for case in corpus["cases"]:
base = bases[case["dataset"]]
start_ms = base + case["start_ms"]
end_ms = base + case["end_ms"]
step_s = max(1, case["step_ms"] // 1000)
req_start_ms = start_ms
if case["instant"]:
# The API rejects start == end; ask for one extra step backward
# and compare only at the instant timestamp. Nudging the start
# earlier instead of the end later keeps every window that the
# expected values were computed from untouched.
req_start_ms = start_ms - step_s * 1000
query = {
"type": "promql",
"spec": {"name": "A", "query": case["expr"], "step": step_s},
}
case_id = f"{case['source']}[{case['variant']}]"
response = make_query_request(signoz, token, req_start_ms, end_ms, [query])
if response.status_code != HTTPStatus.OK:
failures.append(
f"{case_id}: HTTP {response.status_code} for {case['expr']!r}: "
f"{response.text[:200]}"
)
continue
actual, duplicates = _response_series(response.json())
if duplicates:
failures.append(
f"{case_id}: response carries multiple series with identical "
f"labels for {case['expr']!r}: {[dict(d) for d in duplicates[:3]]}"
)
continue
if case["instant"]:
# Keep only the instant point; the extra grid step is a request
# encoding byproduct, not part of the assertion.
actual = {
lset: {ts: v for ts, v in pts.items() if ts == end_ms}
for lset, pts in actual.items()
}
actual = {lset: pts for lset, pts in actual.items() if pts}
expected: dict[tuple, dict[int, float]] = {}
for res in case["expected"]:
points = {
base + off_ms: _decode(v) for off_ms, v in res["points"]
}
expected[_labelset(res["labels"])] = points
if set(actual) != set(expected):
missing = set(expected) - set(actual)
extra = set(actual) - set(expected)
failures.append(
f"{case_id}: series mismatch for {case['expr']!r} "
f"(missing={sorted(missing)[:3]} extra={sorted(extra)[:3]}) "
f"actual={[(dict(k), {t - base: v for t, v in pts.items()}) for k, pts in actual.items()]}"
)
continue
for lset, exp_points in expected.items():
act_points = actual[lset]
if set(act_points) != set(exp_points):
failures.append(
f"{case_id}: timestamp mismatch for {case['expr']!r} "
f"series {dict(lset)} (expected {len(exp_points)} points, "
f"got {len(act_points)})"
)
break
for ts, exp_v in exp_points.items():
if not _values_close(act_points[ts], exp_v):
failures.append(
f"{case_id}: value mismatch for {case['expr']!r} "
f"series {dict(lset)} at {ts}: expected {exp_v}, "
f"got {act_points[ts]}"
)
break
else:
continue
break
for f_line in failures:
print("DIVERGED", f_line)
# Known divergences are defects of the current serving path, frozen with
# reasons. The set is enforced exactly in both directions: a NEW
# divergence is a regression, and a known divergence that starts passing
# must be removed from the file — that is the ledger the serving-path
# swap is measured against.
known: dict[str, str] = {}
if os.path.exists(KNOWN_DIVERGENCES_FILE):
with open(KNOWN_DIVERGENCES_FILE, encoding="utf-8") as f:
known = json.load(f)["divergences"]
failed_ids = {f_line.split(": ", 1)[0] for f_line in failures}
unexpected = [f_line for f_line in failures if f_line.split(": ", 1)[0] not in known]
now_passing = sorted(set(known) - failed_ids)
assert not unexpected, (
f"{len(unexpected)} corpus cases diverged beyond the known set:\n"
+ "\n".join(unexpected[:25])
)
assert not now_passing, (
f"{len(now_passing)} known divergences now pass — remove them from "
f"known_divergences.json: {now_passing[:25]}"
)

View File

@@ -0,0 +1,155 @@
"""
Regression tests for series identity in the PromQL serving path (PR #8563).
#8563 fixed a real duplicate-labelset collision by injecting a synthetic
per-series "fingerprint" label, which silently broke without() grouping and
unaggregated vector matching; the adapter now merges fingerprints sharing a
labelset instead. Pinned here:
1. Clean data: without() yields exactly the grouped series with correct
sums; "fingerprint" behaves as any absent label.
2. The #8563 incident: one series under two fingerprints (empty-valued vs
absent label). Both must come back as ONE merged series — not a
"duplicate series" error, not duplicate identical-labeled output.
"""
from collections.abc import Callable
from datetime import UTC, datetime, timedelta
from http import HTTPStatus
from fixtures import types
from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
from fixtures.metrics import Metrics
from fixtures.querier import get_all_series, make_query_request
METRIC = "probe_requests"
EVOLVED_METRIC = "probe_schema_evolution"
def _series_view(data: dict) -> list[tuple[dict, list]]:
out = []
for series in get_all_series(data, "A") or []:
lbls = {l["key"]["name"]: str(l["value"]) for l in series.get("labels") or []}
vals = [(v["timestamp"], v["value"]) for v in series.get("values") or []]
out.append((lbls, vals))
return sorted(out, key=lambda x: sorted(x[0].items()))
def _value_at(view_entry: tuple[dict, list], ts_ms: int) -> float:
for ts, v in view_entry[1]:
if ts == ts_ms:
return float(v)
raise AssertionError(f"no point at {ts_ms} in {view_entry}")
def test_identical_labelsets_merge_and_grouping(
signoz: types.SigNoz,
create_user_admin: None, # pylint: disable=unused-argument
get_token: Callable[[str, str], str],
insert_metrics: Callable[[list[Metrics]], None],
) -> None:
now = datetime.now(tz=UTC).replace(second=0, microsecond=0)
base = now - timedelta(minutes=30)
# Scenario 1: four clean series, 2 groups x 2 instances, 3 samples each.
labelsets = [
{"group": "canary", "instance": "0"},
{"group": "canary", "instance": "1"},
{"group": "production", "instance": "0"},
{"group": "production", "instance": "1"},
]
metrics: list[Metrics] = []
for i, lbls in enumerate(labelsets):
for k in range(3):
metrics.append(
Metrics(
metric_name=METRIC,
labels=dict(lbls),
timestamp=base + timedelta(minutes=k),
value=float((i + 1) * 100 + k),
)
)
# Scenario 2 (PR #8563): one conceptual series under two fingerprints.
# The first three samples carry schema_url="" (empty value, dropped at
# read time); the next three drop the label entirely (new fingerprint).
for k in range(3):
metrics.append(
Metrics(
metric_name=EVOLVED_METRIC,
labels={"job": "api", "schema_url": ""},
timestamp=base + timedelta(minutes=k),
value=float(k + 1),
)
)
for k in range(3, 6):
metrics.append(
Metrics(
metric_name=EVOLVED_METRIC,
labels={"job": "api"},
timestamp=base + timedelta(minutes=k),
value=float(k + 1),
)
)
insert_metrics(metrics)
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
def run(promql: str, start_ms: int, end_ms: int) -> list[tuple[dict, list]]:
q = {"type": "promql", "spec": {"name": "A", "query": promql, "step": 60}}
resp = make_query_request(signoz, token, start_ms, end_ms, [q])
assert resp.status_code == HTTPStatus.OK, f"{promql!r}: {resp.text[:300]}"
return _series_view(resp.json())
end_ms = int((base + timedelta(minutes=2)).timestamp() * 1000)
start_ms = end_ms - 60_000
raw = run(METRIC, start_ms, end_ms)
assert len(raw) == 4, f"raw selector must show the 4 ingested series: {raw}"
assert len({tuple(sorted(l.items())) for l, _ in raw}) == 4
assert not any("fingerprint" in l for l, _ in raw), (
"no synthetic fingerprint label may appear in results"
)
count = run(f"count({METRIC})", start_ms, end_ms)
assert count and _value_at(count[0], end_ms) == 4
# without(instance): exactly one series per group, with the group sums —
# not per-fingerprint groups collapsing into duplicate labelsets.
without = run(f"sum without (instance) ({METRIC})", start_ms, end_ms)
assert [(l.get("group"), _value_at((l, v), end_ms)) for l, v in without] == [
("canary", 304.0),
("production", 704.0),
], f"without(instance) must yield 2 correctly-summed groups: {without}"
# "fingerprint" is now just an absent label: adding it to without() must
# not change the result, and grouping by it collapses everything.
healed = run(f"sum without (instance, fingerprint) ({METRIC})", start_ms, end_ms)
assert [(l.get("group"), _value_at((l, v), end_ms)) for l, v in healed] == [
("canary", 304.0),
("production", 704.0),
], f"without(instance, fingerprint) must equal without(instance): {healed}"
by_fp = run(f"sum by (fingerprint) ({METRIC})", start_ms, end_ms)
assert len(by_fp) == 1 and _value_at(by_fp[0], end_ms) == 304.0 + 704.0, (
f"by(fingerprint) must collapse to one group (label absent): {by_fp}"
)
assert "fingerprint" not in by_fp[0][0] or by_fp[0][0] == {}, by_fp
# Scenario 2: both fingerprints must come back as ONE merged series
# spanning the full range — no duplicate-series error, no duplicate
# identical-labeled output.
evo_start_ms = int(base.timestamp() * 1000)
evo_end_ms = int((base + timedelta(minutes=5)).timestamp() * 1000)
evolved = run(EVOLVED_METRIC, evo_start_ms, evo_end_ms)
assert len(evolved) == 1, (
f"label-evolution fingerprints must merge into one series: {evolved}"
)
lbls, _ = evolved[0]
assert lbls == {"__name__": EVOLVED_METRIC, "job": "api"}, evolved
got = [
_value_at(evolved[0], evo_start_ms + m * 60_000) for m in range(6)
]
assert got == [1.0, 2.0, 3.0, 4.0, 5.0, 6.0], (
f"merged series must carry both fingerprints' samples in order: {got}"
)