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https://github.com/SigNoz/signoz.git
synced 2026-03-02 03:52:07 +00:00
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2 Commits
| Author | SHA1 | Date | |
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d5ea5d448a | ||
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be243006c9 |
@@ -242,6 +242,9 @@ func (q *promqlQuery) Execute(ctx context.Context) (*qbv5.Result, error) {
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var s qbv5.TimeSeries
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lbls := make([]*qbv5.Label, 0, len(v.Metric))
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for name, value := range v.Metric.Copy().Map() {
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if strings.HasPrefix(name, "__") || name == "fingerprint" {
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continue
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}
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lbls = append(lbls, &qbv5.Label{
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Key: telemetrytypes.TelemetryFieldKey{Name: name},
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Value: value,
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@@ -5,6 +5,7 @@ import (
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"fmt"
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"log/slog"
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"github.com/SigNoz/signoz/pkg/errors"
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"github.com/SigNoz/signoz/pkg/factory"
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"github.com/SigNoz/signoz/pkg/flagger"
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"github.com/SigNoz/signoz/pkg/querybuilder"
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@@ -522,6 +523,13 @@ 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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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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}
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sb := sqlbuilder.NewSelectBuilder()
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sb.Select("ts")
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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_percentile1",
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name: "test_histogram_percentile",
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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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@@ -132,7 +132,6 @@ 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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@@ -188,7 +187,7 @@ 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_percentile2",
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name: "test_histogram_percentile",
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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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@@ -198,7 +197,6 @@ 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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@@ -213,7 +211,7 @@ 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(1747947360000), uint64(1747983420000), 0},
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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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},
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expectedErr: nil,
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},
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@@ -3,7 +3,6 @@ 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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@@ -136,10 +135,6 @@ 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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@@ -190,10 +185,6 @@ 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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@@ -227,10 +218,6 @@ 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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@@ -215,13 +215,6 @@ func (q *QueryBuilderQuery[T]) validateAggregations(requestType RequestType) err
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aggId,
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)
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}
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if !v.SpaceAggregation.IsValid() {
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return 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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}
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case TraceAggregation:
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if v.Expression == "" {
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aggId := fmt.Sprintf("aggregation #%d", i+1)
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