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8 Commits
| Author | SHA1 | Date | |
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404976b725 | ||
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21e31bb157 | ||
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40a3c7b919 | ||
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f80cdb71e3 | ||
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e6e484accf | ||
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fe3dfa5821 | ||
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16e8245a1f | ||
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22169487b1 |
@@ -5419,7 +5419,7 @@ func (r *ClickHouseReader) ListSummaryMetrics(ctx context.Context, orgID valuer.
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t.metric_name AS metric_name,
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ANY_VALUE(t.description) AS description,
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ANY_VALUE(t.type) AS metric_type,
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argMax(t.unit, unix_milli) AS metric_unit,
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ANY_VALUE(t.unit) AS metric_unit,
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uniq(t.fingerprint) AS timeseries,
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uniq(metric_name) OVER() AS total
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FROM %s.%s AS t
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@@ -159,6 +159,23 @@ func (b *MetricQueryStatementBuilder) buildPipelineStatement(
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query.Aggregations[0].TimeAggregation = metrictypes.TimeAggregationIncrease
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}
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query.Aggregations[0].SpaceAggregation = metrictypes.SpaceAggregationSum
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// check for origTimeAgg's and origSpaceAgg's validity
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if origTimeAgg.IsZero() || !origTimeAgg.IsValid() {
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return nil, errors.Newf(
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errors.TypeInvalidInput,
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errors.CodeInvalidInput,
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"invalid time aggregation, should be one of the following: [`rate`, `increase`]",
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)
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}
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if origSpaceAgg.IsZero() || !origSpaceAgg.IsValid() {
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return nil, errors.Newf(
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errors.TypeInvalidInput,
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errors.CodeInvalidInput,
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"invalid space aggregation, should be one of the following: [`count`, `p50`, `p75`, `p90`, `p95`, `p99`]",
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)
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}
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}
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var timeSeriesCTE string
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@@ -523,11 +540,26 @@ func (b *MetricQueryStatementBuilder) buildSpatialAggregationCTE(
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query qbtypes.QueryBuilderQuery[qbtypes.MetricAggregation],
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_ map[string][]*telemetrytypes.TelemetryFieldKey,
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) (string, []any, error) {
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if query.Aggregations[0].SpaceAggregation.IsZero() {
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if query.Aggregations[0].SpaceAggregation.IsZero() || !query.Aggregations[0].SpaceAggregation.IsValid() {
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if query.Aggregations[0].Type.IsPercentileSpaceAggregationAllowed() {
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return "", nil, errors.Newf(
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errors.TypeInvalidInput,
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errors.CodeInvalidInput,
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"invalid space aggregation, should be one of the following: [`sum`, `avg`, `min`, `max`, `count`, `p50`, `p75`, `p90`, `p95`, `p99`]",
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)
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} else {
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return "", nil, errors.Newf(
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errors.TypeInvalidInput,
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errors.CodeInvalidInput,
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"invalid space aggregation, should be one of the following: [`sum`, `avg`, `min`, `max`, `count`]",
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)
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}
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}
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if query.Aggregations[0].SpaceAggregation.IsPercentile() && !query.Aggregations[0].Type.IsPercentileSpaceAggregationAllowed() {
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return "", nil, errors.Newf(
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errors.TypeInvalidInput,
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errors.CodeInvalidInput,
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"invalid space aggregation, should be one of the following: [`sum`, `avg`, `min`, `max`, `count`, `p50`, `p75`, `p90`, `p95`, `p99`]",
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"percentile based aggregations are invalid for this metric, should be one of the following: [`sum`, `avg`, `min`, `max`, `count`]",
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)
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}
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sb := sqlbuilder.NewSelectBuilder()
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@@ -122,7 +122,7 @@ func TestStatementBuilder(t *testing.T) {
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expectedErr: nil,
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},
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{
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name: "test_histogram_percentile",
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name: "test_histogram_percentile1",
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requestType: qbtypes.RequestTypeTimeSeries,
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query: qbtypes.QueryBuilderQuery[qbtypes.MetricAggregation]{
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Signal: telemetrytypes.SignalMetrics,
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@@ -132,6 +132,7 @@ func TestStatementBuilder(t *testing.T) {
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MetricName: "signoz_latency",
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Type: metrictypes.HistogramType,
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Temporality: metrictypes.Delta,
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TimeAggregation: metrictypes.TimeAggregationRate,
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SpaceAggregation: metrictypes.SpaceAggregationPercentile95,
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},
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},
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@@ -187,7 +188,7 @@ func TestStatementBuilder(t *testing.T) {
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expectedErr: nil,
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},
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{
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name: "test_histogram_percentile",
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name: "test_histogram_percentile2",
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requestType: qbtypes.RequestTypeTimeSeries,
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query: qbtypes.QueryBuilderQuery[qbtypes.MetricAggregation]{
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Signal: telemetrytypes.SignalMetrics,
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@@ -197,6 +198,7 @@ func TestStatementBuilder(t *testing.T) {
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MetricName: "http_server_duration_bucket",
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Type: metrictypes.HistogramType,
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Temporality: metrictypes.Cumulative,
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TimeAggregation: metrictypes.TimeAggregationRate,
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SpaceAggregation: metrictypes.SpaceAggregationPercentile95,
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},
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},
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@@ -211,7 +213,7 @@ func TestStatementBuilder(t *testing.T) {
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},
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expected: qbtypes.Statement{
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Query: "WITH __temporal_aggregation_cte AS (SELECT ts, `service.name`, `le`, multiIf(row_number() OVER rate_window = 1, nan, (per_series_value - lagInFrame(per_series_value, 1) OVER rate_window) < 0, per_series_value / (ts - lagInFrame(ts, 1) OVER rate_window), (per_series_value - lagInFrame(per_series_value, 1) OVER rate_window) / (ts - lagInFrame(ts, 1) OVER rate_window)) AS per_series_value FROM (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(30)) AS ts, `service.name`, `le`, max(value) AS per_series_value FROM signoz_metrics.distributed_samples_v4 AS points INNER JOIN (SELECT fingerprint, JSONExtractString(labels, 'service.name') AS `service.name`, JSONExtractString(labels, 'le') AS `le` FROM signoz_metrics.time_series_v4_6hrs WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND LOWER(temporality) LIKE LOWER(?) AND __normalized = ? GROUP BY fingerprint, `service.name`, `le`) AS filtered_time_series ON points.fingerprint = filtered_time_series.fingerprint WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? GROUP BY fingerprint, ts, `service.name`, `le` ORDER BY fingerprint, ts) WINDOW rate_window AS (PARTITION BY fingerprint ORDER BY fingerprint, ts)), __spatial_aggregation_cte AS (SELECT ts, `service.name`, `le`, sum(per_series_value) AS value FROM __temporal_aggregation_cte WHERE isNaN(per_series_value) = ? GROUP BY ts, `service.name`, `le`) SELECT ts, `service.name`, histogramQuantile(arrayMap(x -> toFloat64(x), groupArray(le)), groupArray(value), 0.950) AS value FROM __spatial_aggregation_cte GROUP BY `service.name`, ts ORDER BY `service.name`, ts",
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Args: []any{"http_server_duration_bucket", uint64(1747936800000), uint64(1747983420000), "cumulative", false, "http_server_duration_bucket", uint64(1747947390000), uint64(1747983420000), 0},
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Args: []any{"http_server_duration_bucket", uint64(1747936800000), uint64(1747983420000), "cumulative", false, "http_server_duration_bucket", uint64(1747947360000), uint64(1747983420000), 0},
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},
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expectedErr: nil,
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},
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@@ -3,6 +3,7 @@ package metrictypes
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import (
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"database/sql/driver"
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"fmt"
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"slices"
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"strings"
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"github.com/SigNoz/signoz/pkg/errors"
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@@ -135,6 +136,10 @@ func (t *Type) Scan(src interface{}) error {
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return nil
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}
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func (t Type) IsPercentileSpaceAggregationAllowed() bool {
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return t == HistogramType || t == ExpHistogramType || t == SummaryType
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}
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var (
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GaugeType = Type{valuer.NewString("gauge")}
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SumType = Type{valuer.NewString("sum")}
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@@ -185,6 +190,10 @@ func (TimeAggregation) Enum() []any {
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}
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}
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func (t TimeAggregation) IsValid() bool {
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return slices.ContainsFunc(t.Enum(), func(v any) bool { return v == t })
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}
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type SpaceAggregation struct {
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valuer.String
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}
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@@ -218,6 +227,10 @@ func (SpaceAggregation) Enum() []any {
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}
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}
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func (s SpaceAggregation) IsValid() bool {
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return slices.ContainsFunc(s.Enum(), func(v any) bool { return v == s })
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}
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func (s SpaceAggregation) IsPercentile() bool {
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return s == SpaceAggregationPercentile50 ||
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s == SpaceAggregationPercentile75 ||
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