Merge branch 'main' into fix-issues

README.de-de.md

@@ -176,25 +176,6 @@ Wir haben Benchmarks veröffentlicht, die Loki mit SigNoz vergleichen. Schauen S
 Wir ❤️ Beiträge zum Projekt, egal ob große oder kleine. Bitte lies dir zuerst die [CONTRIBUTING.md](CONTRIBUTING.md), durch, bevor du anfängst, Beiträge zu SigNoz zu machen.
 Du bist dir nicht sicher, wie du anfangen sollst? Schreib uns einfach auf dem #contributing Kanal in unserer [slack community](https://signoz.io/slack)
 
-### Unsere Projektbetreuer
-
-#### Backend
-
-- [Ankit Nayan](https://github.com/ankitnayan)
-- [Nityananda Gohain](https://github.com/nityanandagohain)
-- [Srikanth Chekuri](https://github.com/srikanthccv)
-- [Vishal Sharma](https://github.com/makeavish)
-
-#### Frontend
-
-- [Palash Gupta](https://github.com/palashgdev)
-- [Yunus M](https://github.com/YounixM)
-- [Rajat Dabade](https://github.com/Rajat-Dabade)
-
-#### DevOps
-
-- [Prashant Shahi](https://github.com/prashant-shahi)
-
 <br /><br />
 
 ## Dokumentation

README.md

@@ -221,34 +221,6 @@ We ❤️ contributions big or small. Please read [CONTRIBUTING.md](CONTRIBUTING
 
 Not sure how to get started? Just ping us on `#contributing` in our [slack community](https://signoz.io/slack)
 
-### Project maintainers
-
-#### Backend
-
-- [Ankit Nayan](https://github.com/ankitnayan)
-- [Nityananda Gohain](https://github.com/nityanandagohain)
-- [Srikanth Chekuri](https://github.com/srikanthccv)
-- [Vishal Sharma](https://github.com/makeavish)
-- [Shivanshu Raj Shrivastava](https://github.com/shivanshuraj1333)
-- [Ekansh Gupta](https://github.com/eKuG)
-- [Aniket Agarwal](https://github.com/aniketio-ctrl)
-
-#### Frontend
-
-- [Yunus M](https://github.com/YounixM)
-- [Vikrant Gupta](https://github.com/vikrantgupta25)
-- [Sagar Rajput](https://github.com/SagarRajput-7)
-- [Shaheer Kochai](https://github.com/ahmadshaheer)
-- [Amlan Kumar Nandy](https://github.com/amlannandy)
-- [Sahil Khan](https://github.com/sawhil)
-- [Aditya Singh](https://github.com/aks07)
-- [Abhi Kumar](https://github.com/ahrefabhi)
-
-#### DevOps
-
-- [Prashant Shahi](https://github.com/prashant-shahi)
-- [Vibhu Pandey](https://github.com/therealpandey)
-
 <br /><br />
 
 

README.zh-cn.md

@@ -187,25 +187,6 @@ Jaeger 仅仅是一个分布式追踪系统。 但是 SigNoz 可以提供 metric
 
 如果你不知道如何开始？ 只需要在 [slack 社区](https://signoz.io/slack) 通过 `#contributing` 频道联系我们。
 
-### 项目维护人员
-
-#### 后端
-
-- [Ankit Nayan](https://github.com/ankitnayan)
-- [Nityananda Gohain](https://github.com/nityanandagohain)
-- [Srikanth Chekuri](https://github.com/srikanthccv)
-- [Vishal Sharma](https://github.com/makeavish)
-
-#### 前端
-
-- [Palash Gupta](https://github.com/palashgdev)
-- [Yunus M](https://github.com/YounixM)
-- [Rajat Dabade](https://github.com/Rajat-Dabade)
-
-#### 运维开发
-
-- [Prashant Shahi](https://github.com/prashant-shahi)
-
 <br /><br />
 
 ## 文档

conf/example.yaml

@@ -294,7 +294,6 @@ flagger:
   config:
     boolean:
       use_span_metrics: true
-      interpolation_enabled: false
       kafka_span_eval: false
     string:
     float:

pkg/flagger/registry.go

@@ -3,9 +3,8 @@ package flagger
 import "github.com/SigNoz/signoz/pkg/types/featuretypes"
 
 var (
-	FeatureUseSpanMetrics       = featuretypes.MustNewName("use_span_metrics")
-	FeatureInterpolationEnabled = featuretypes.MustNewName("interpolation_enabled")
-	FeatureKafkaSpanEval        = featuretypes.MustNewName("kafka_span_eval")
+	FeatureUseSpanMetrics = featuretypes.MustNewName("use_span_metrics")
+	FeatureKafkaSpanEval  = featuretypes.MustNewName("kafka_span_eval")
 )
 
 func MustNewRegistry() featuretypes.Registry {
@@ -18,14 +17,6 @@ func MustNewRegistry() featuretypes.Registry {
 			DefaultVariant: featuretypes.MustNewName("disabled"),
 			Variants:       featuretypes.NewBooleanVariants(),
 		},
-		&featuretypes.Feature{
-			Name:           FeatureInterpolationEnabled,
-			Kind:           featuretypes.KindBoolean,
-			Stage:          featuretypes.StageExperimental,
-			Description:    "Controls whether to enable interpolation",
-			DefaultVariant: featuretypes.MustNewName("disabled"),
-			Variants:       featuretypes.NewBooleanVariants(),
-		},
 		&featuretypes.Feature{
 			Name:           FeatureKafkaSpanEval,
 			Kind:           featuretypes.KindBoolean,

pkg/querybuilder/collision.go

@@ -205,7 +205,7 @@ func AdjustKey(key *telemetrytypes.TelemetryFieldKey, keys map[string][]*telemet
 		key.Indexes = matchingKey.Indexes
 		key.Materialized = matchingKey.Materialized
 		key.JSONPlan = matchingKey.JSONPlan
-		
+
 		return actions
 	} else {
 		// multiple matching keys, set materialized only if all the keys are materialized

pkg/querybuilder/where_clause_visitor.go

@@ -483,6 +483,22 @@ func (v *filterExpressionVisitor) VisitComparison(ctx *grammar.ComparisonContext
 		value1 := v.Visit(values[0])
 		value2 := v.Visit(values[1])
 
+		switch value1.(type) {
+		case float64:
+			if _, ok := value2.(float64); !ok {
+				v.errors = append(v.errors, fmt.Sprintf("value type mismatch for key %s: expected number for both operands", keys[0].Name))
+				return ""
+			}
+		case string:
+			if _, ok := value2.(string); !ok {
+				v.errors = append(v.errors, fmt.Sprintf("value type mismatch for key %s: expected string for both operands", keys[0].Name))
+				return ""
+			}
+		default:
+			v.errors = append(v.errors, fmt.Sprintf("value type mismatch for key %s: operands must be number or string", keys[0].Name))
+			return ""
+		}
+
 		var conds []string
 		for _, key := range keys {
 			condition, err := v.conditionBuilder.ConditionFor(context.Background(), key, op, []any{value1, value2}, v.builder, v.startNs, v.endNs)
@@ -855,7 +871,7 @@ func (v *filterExpressionVisitor) VisitKey(ctx *grammar.KeyContext) any {
 	// 1. either user meant key ( this is already handled above in fieldKeysForName )
 	// 2. or user meant `attribute.key` we look up in the map for all possible field keys with name 'attribute.key'
 
-	// Note: 
+	// Note:
 	// If user only wants to search `attribute.key`, then they have to use `attribute.attribute.key`
 	// If user only wants to search `key`, then they have to use `key`
 	// If user wants to search both, they can use `attribute.key` and we will resolve the ambiguity

pkg/signoz/config.go

@@ -375,13 +375,6 @@ func mergeAndEnsureBackwardCompatibility(ctx context.Context, logger *slog.Logge
 		config.Flagger.Config.Boolean[flagger.FeatureKafkaSpanEval.String()] = os.Getenv("KAFKA_SPAN_EVAL") == "true"
 	}
 
-	if os.Getenv("INTERPOLATION_ENABLED") != "" {
-		logger.WarnContext(ctx, "[Deprecated] env INTERPOLATION_ENABLED is deprecated and scheduled for removal. Please use SIGNOZ_FLAGGER_CONFIG_BOOLEAN_INTERPOLATION__ENABLED instead.")
-		if config.Flagger.Config.Boolean == nil {
-			config.Flagger.Config.Boolean = make(map[string]bool)
-		}
-		config.Flagger.Config.Boolean[flagger.FeatureInterpolationEnabled.String()] = os.Getenv("INTERPOLATION_ENABLED") == "true"
-	}
 }
 
 func (config Config) Collect(_ context.Context, _ valuer.UUID) (map[string]any, error) {

pkg/telemetrymeter/statement_builder.go

@@ -5,6 +5,7 @@ import (
 	"fmt"
 	"log/slog"
 
+	"github.com/SigNoz/signoz/pkg/errors"
 	"github.com/SigNoz/signoz/pkg/factory"
 	"github.com/SigNoz/signoz/pkg/querybuilder"
 	"github.com/SigNoz/signoz/pkg/telemetrymetrics"
@@ -73,7 +74,7 @@ func (b *meterQueryStatementBuilder) buildPipelineStatement(
 		cteArgs      [][]any
 	)
 
-	if b.metricsStatementBuilder.CanShortCircuitDelta(query) {
+	if qbtypes.CanShortCircuitDelta(query.Aggregations[0]) {
 		// spatial_aggregation_cte directly for certain delta queries
 		if frag, args, err := b.buildTemporalAggDeltaFastPath(ctx, start, end, query, keys, variables); err != nil {
 			return nil, err
@@ -91,8 +92,9 @@ func (b *meterQueryStatementBuilder) buildPipelineStatement(
 		}
 
 		// spatial_aggregation_cte
-		frag, args := b.buildSpatialAggregationCTE(ctx, start, end, query, keys)
-		if frag != "" {
+		if frag, args, err := b.buildSpatialAggregationCTE(ctx, start, end, query, keys); err != nil {
+			return nil, err
+		} else if frag != "" {
 			cteFragments = append(cteFragments, frag)
 			cteArgs = append(cteArgs, args)
 		}
@@ -122,13 +124,16 @@ func (b *meterQueryStatementBuilder) buildTemporalAggDeltaFastPath(
 	for _, g := range query.GroupBy {
 		col, err := b.fm.ColumnExpressionFor(ctx, &g.TelemetryFieldKey, keys)
 		if err != nil {
-			return "", []any{}, err
+			return "", nil, err
 		}
 		sb.SelectMore(col)
 	}
 
 	tbl := WhichSamplesTableToUse(start, end, query.Aggregations[0].Type, query.Aggregations[0].TimeAggregation, query.Aggregations[0].TableHints)
-	aggCol := AggregationColumnForSamplesTable(start, end, query.Aggregations[0].Type, query.Aggregations[0].Temporality, query.Aggregations[0].TimeAggregation, query.Aggregations[0].TableHints)
+	aggCol, err := AggregationColumnForSamplesTable(start, end, query.Aggregations[0].Type, query.Aggregations[0].Temporality, query.Aggregations[0].TimeAggregation, query.Aggregations[0].TableHints)
+	if err != nil {
+		return "", nil, err
+	}
 	if query.Aggregations[0].TimeAggregation == metrictypes.TimeAggregationRate {
 		aggCol = fmt.Sprintf("%s/%d", aggCol, stepSec)
 	}
@@ -150,7 +155,7 @@ func (b *meterQueryStatementBuilder) buildTemporalAggDeltaFastPath(
 			Variables:        variables,
 		}, start, end)
 		if err != nil {
-			return "", []any{}, err
+			return "", nil, err
 		}
 	}
 	if filterWhere != nil {
@@ -208,8 +213,11 @@ func (b *meterQueryStatementBuilder) buildTemporalAggDelta(
 	}
 
 	tbl := WhichSamplesTableToUse(start, end, query.Aggregations[0].Type, query.Aggregations[0].TimeAggregation, query.Aggregations[0].TableHints)
-	aggCol := AggregationColumnForSamplesTable(start, end, query.Aggregations[0].Type, query.Aggregations[0].Temporality,
+	aggCol, err := AggregationColumnForSamplesTable(start, end, query.Aggregations[0].Type, query.Aggregations[0].Temporality,
 		query.Aggregations[0].TimeAggregation, query.Aggregations[0].TableHints)
+	if err != nil {
+		return "", nil, err
+	}
 	if query.Aggregations[0].TimeAggregation == metrictypes.TimeAggregationRate {
 		aggCol = fmt.Sprintf("%s/%d", aggCol, stepSec)
 	}
@@ -278,7 +286,10 @@ func (b *meterQueryStatementBuilder) buildTemporalAggCumulativeOrUnspecified(
 	}
 
 	tbl := WhichSamplesTableToUse(start, end, query.Aggregations[0].Type, query.Aggregations[0].TimeAggregation, query.Aggregations[0].TableHints)
-	aggCol := AggregationColumnForSamplesTable(start, end, query.Aggregations[0].Type, query.Aggregations[0].Temporality, query.Aggregations[0].TimeAggregation, query.Aggregations[0].TableHints)
+	aggCol, err := AggregationColumnForSamplesTable(start, end, query.Aggregations[0].Type, query.Aggregations[0].Temporality, query.Aggregations[0].TimeAggregation, query.Aggregations[0].TableHints)
+	if err != nil {
+		return "", nil, err
+	}
 	baseSb.SelectMore(fmt.Sprintf("%s AS per_series_value", aggCol))
 
 	baseSb.From(fmt.Sprintf("%s.%s AS points", DBName, tbl))
@@ -315,25 +326,23 @@ func (b *meterQueryStatementBuilder) buildTemporalAggCumulativeOrUnspecified(
 
 	switch query.Aggregations[0].TimeAggregation {
 	case metrictypes.TimeAggregationRate:
-		rateExpr := fmt.Sprintf(telemetrymetrics.RateWithoutNegative, start, start)
 		wrapped := sqlbuilder.NewSelectBuilder()
 		wrapped.Select("ts")
 		for _, g := range query.GroupBy {
 			wrapped.SelectMore(fmt.Sprintf("`%s`", g.TelemetryFieldKey.Name))
 		}
-		wrapped.SelectMore(fmt.Sprintf("%s AS per_series_value", rateExpr))
+		wrapped.SelectMore(fmt.Sprintf("%s AS per_series_value", telemetrymetrics.RateTmpl))
 		wrapped.From(fmt.Sprintf("(%s) WINDOW rate_window AS (PARTITION BY fingerprint ORDER BY fingerprint, ts)", innerQuery))
 		q, args := wrapped.BuildWithFlavor(sqlbuilder.ClickHouse, innerArgs...)
 		return fmt.Sprintf("__temporal_aggregation_cte AS (%s)", q), args, nil
 
 	case metrictypes.TimeAggregationIncrease:
-		incExpr := fmt.Sprintf(telemetrymetrics.IncreaseWithoutNegative, start, start)
 		wrapped := sqlbuilder.NewSelectBuilder()
 		wrapped.Select("ts")
 		for _, g := range query.GroupBy {
 			wrapped.SelectMore(fmt.Sprintf("`%s`", g.TelemetryFieldKey.Name))
 		}
-		wrapped.SelectMore(fmt.Sprintf("%s AS per_series_value", incExpr))
+		wrapped.SelectMore(fmt.Sprintf("%s AS per_series_value", telemetrymetrics.IncreaseTmpl))
 		wrapped.From(fmt.Sprintf("(%s) WINDOW rate_window AS (PARTITION BY fingerprint ORDER BY fingerprint, ts)", innerQuery))
 		q, args := wrapped.BuildWithFlavor(sqlbuilder.ClickHouse, innerArgs...)
 		return fmt.Sprintf("__temporal_aggregation_cte AS (%s)", q), args, nil
@@ -348,7 +357,15 @@ func (b *meterQueryStatementBuilder) buildSpatialAggregationCTE(
 	_ uint64,
 	query qbtypes.QueryBuilderQuery[qbtypes.MetricAggregation],
 	_ map[string][]*telemetrytypes.TelemetryFieldKey,
-) (string, []any) {
+) (string, []any, error) {
+
+	if query.Aggregations[0].SpaceAggregation.IsZero() {
+		return "", nil, errors.Newf(
+			errors.TypeInvalidInput,
+			errors.CodeInvalidInput,
+			"invalid space aggregation, should be one of the following: [`sum`, `avg`, `min`, `max`, `count`]",
+		)
+	}
 	sb := sqlbuilder.NewSelectBuilder()
 
 	sb.Select("ts")
@@ -365,5 +382,5 @@ func (b *meterQueryStatementBuilder) buildSpatialAggregationCTE(
 	sb.GroupBy(querybuilder.GroupByKeys(query.GroupBy)...)
 
 	q, args := sb.BuildWithFlavor(sqlbuilder.ClickHouse)
-	return fmt.Sprintf("__spatial_aggregation_cte AS (%s)", q), args
+	return fmt.Sprintf("__spatial_aggregation_cte AS (%s)", q), args, nil
 }

pkg/telemetrymeter/stmt_builder_test.go

@@ -51,7 +51,7 @@ func TestStatementBuilder(t *testing.T) {
 				},
 			},
 			expected: qbtypes.Statement{
-				Query: "WITH __temporal_aggregation_cte AS (SELECT ts, `service.name`, If((per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) < 0, per_series_value / (ts - lagInFrame(ts, 1, toDateTime(fromUnixTimestamp64Milli(1747785600000))) OVER rate_window), (per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) / (ts - lagInFrame(ts, 1, toDateTime(fromUnixTimestamp64Milli(1747785600000))) OVER rate_window)) AS per_series_value FROM (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(86400)) AS ts, JSONExtractString(labels, 'service.name') AS `service.name`, max(value) AS per_series_value FROM signoz_meter.distributed_samples AS points WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? AND JSONExtractString(labels, 'service.name') = ? AND LOWER(temporality) LIKE LOWER(?) GROUP BY fingerprint, ts, `service.name` ORDER BY fingerprint, ts) WINDOW rate_window AS (PARTITION BY fingerprint ORDER BY fingerprint, ts)), __spatial_aggregation_cte AS (SELECT ts, `service.name`, sum(per_series_value) AS value FROM __temporal_aggregation_cte WHERE isNaN(per_series_value) = ? GROUP BY ts, `service.name`) SELECT * FROM __spatial_aggregation_cte",
+				Query: "WITH __temporal_aggregation_cte AS (SELECT ts, `service.name`, 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(86400)) AS ts, JSONExtractString(labels, 'service.name') AS `service.name`, max(value) AS per_series_value FROM signoz_meter.distributed_samples AS points WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? AND JSONExtractString(labels, 'service.name') = ? AND LOWER(temporality) LIKE LOWER(?) GROUP BY fingerprint, ts, `service.name` ORDER BY fingerprint, ts) WINDOW rate_window AS (PARTITION BY fingerprint ORDER BY fingerprint, ts)), __spatial_aggregation_cte AS (SELECT ts, `service.name`, sum(per_series_value) AS value FROM __temporal_aggregation_cte WHERE isNaN(per_series_value) = ? GROUP BY ts, `service.name`) SELECT * FROM __spatial_aggregation_cte ORDER BY `service.name`, ts",
 				Args:  []any{"signoz_calls_total", uint64(1747785600000), uint64(1747983420000), "cartservice", "cumulative", 0},
 			},
 			expectedErr: nil,
@@ -84,7 +84,7 @@ func TestStatementBuilder(t *testing.T) {
 				},
 			},
 			expected: qbtypes.Statement{
-				Query: "WITH __spatial_aggregation_cte AS (SELECT toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(86400)) AS ts, JSONExtractString(labels, 'service.name') AS `service.name`, sum(value)/86400 AS value FROM signoz_meter.distributed_samples AS points WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? AND JSONExtractString(labels, 'service.name') = ? AND LOWER(temporality) LIKE LOWER(?) GROUP BY ts, `service.name`) SELECT * FROM __spatial_aggregation_cte",
+				Query: "WITH __spatial_aggregation_cte AS (SELECT toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(86400)) AS ts, JSONExtractString(labels, 'service.name') AS `service.name`, sum(value)/86400 AS value FROM signoz_meter.distributed_samples AS points WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? AND JSONExtractString(labels, 'service.name') = ? AND LOWER(temporality) LIKE LOWER(?) GROUP BY ts, `service.name`) SELECT * FROM __spatial_aggregation_cte ORDER BY `service.name`, ts",
 				Args:  []any{"signoz_calls_total", uint64(1747872000000), uint64(1747983420000), "cartservice", "delta"},
 			},
 			expectedErr: nil,
@@ -117,7 +117,7 @@ func TestStatementBuilder(t *testing.T) {
 				},
 			},
 			expected: qbtypes.Statement{
-				Query: "WITH __temporal_aggregation_cte AS (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(86400)) AS ts, JSONExtractString(labels, 'service.name') AS `service.name`, sum(value)/86400 AS per_series_value FROM signoz_meter.distributed_samples AS points WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? AND JSONExtractString(labels, 'service.name') = ? AND LOWER(temporality) LIKE LOWER(?) GROUP BY fingerprint, ts, `service.name` ORDER BY fingerprint, ts), __spatial_aggregation_cte AS (SELECT ts, `service.name`, avg(per_series_value) AS value FROM __temporal_aggregation_cte WHERE isNaN(per_series_value) = ? GROUP BY ts, `service.name`) SELECT * FROM __spatial_aggregation_cte",
+				Query: "WITH __temporal_aggregation_cte AS (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(86400)) AS ts, JSONExtractString(labels, 'service.name') AS `service.name`, sum(value)/86400 AS per_series_value FROM signoz_meter.distributed_samples AS points WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? AND JSONExtractString(labels, 'service.name') = ? AND LOWER(temporality) LIKE LOWER(?) GROUP BY fingerprint, ts, `service.name` ORDER BY fingerprint, ts), __spatial_aggregation_cte AS (SELECT ts, `service.name`, avg(per_series_value) AS value FROM __temporal_aggregation_cte WHERE isNaN(per_series_value) = ? GROUP BY ts, `service.name`) SELECT * FROM __spatial_aggregation_cte ORDER BY `service.name`, ts",
 				Args:  []any{"signoz_calls_total", uint64(1747872000000), uint64(1747983420000), "cartservice", "delta", 0},
 			},
 			expectedErr: nil,
@@ -150,7 +150,7 @@ func TestStatementBuilder(t *testing.T) {
 				},
 			},
 			expected: qbtypes.Statement{
-				Query: "WITH __temporal_aggregation_cte AS (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(86400)) AS ts, JSONExtractString(labels, 'host.name') AS `host.name`, avg(value) AS per_series_value FROM signoz_meter.distributed_samples AS points WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? AND JSONExtractString(labels, 'host.name') = ? AND LOWER(temporality) LIKE LOWER(?) GROUP BY fingerprint, ts, `host.name` ORDER BY fingerprint, ts), __spatial_aggregation_cte AS (SELECT ts, `host.name`, sum(per_series_value) AS value FROM __temporal_aggregation_cte WHERE isNaN(per_series_value) = ? GROUP BY ts, `host.name`) SELECT * FROM __spatial_aggregation_cte",
+				Query: "WITH __temporal_aggregation_cte AS (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(86400)) AS ts, JSONExtractString(labels, 'host.name') AS `host.name`, avg(value) AS per_series_value FROM signoz_meter.distributed_samples AS points WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? AND JSONExtractString(labels, 'host.name') = ? AND LOWER(temporality) LIKE LOWER(?) GROUP BY fingerprint, ts, `host.name` ORDER BY fingerprint, ts), __spatial_aggregation_cte AS (SELECT ts, `host.name`, sum(per_series_value) AS value FROM __temporal_aggregation_cte WHERE isNaN(per_series_value) = ? GROUP BY ts, `host.name`) SELECT * FROM __spatial_aggregation_cte ORDER BY `host.name`, ts",
 				Args:  []any{"system.memory.usage", uint64(1747872000000), uint64(1747983420000), "big-data-node-1", "unspecified", 0},
 			},
 			expectedErr: nil,

pkg/telemetrymeter/tables.go

@@ -3,6 +3,7 @@ package telemetrymeter
 import (
 	"time"
 
+	"github.com/SigNoz/signoz/pkg/errors"
 	"github.com/SigNoz/signoz/pkg/types/metrictypes"
 )
 
@@ -63,7 +64,7 @@ func AggregationColumnForSamplesTable(
 	temporality metrictypes.Temporality,
 	timeAggregation metrictypes.TimeAggregation,
 	tableHints *metrictypes.MetricTableHints,
-) string {
+) (string, error) {
 	tableName := WhichSamplesTableToUse(start, end, metricType, timeAggregation, tableHints)
 	var aggregationColumn string
 	switch temporality {
@@ -190,5 +191,13 @@ func AggregationColumnForSamplesTable(
 		}
 
 	}
-	return aggregationColumn
+
+	if aggregationColumn == "" {
+		return "", errors.Newf(
+			errors.TypeInvalidInput,
+			errors.CodeInvalidInput,
+			"invalid time aggregation, should be one of the following: [`latest`, `sum`, `avg`, `min`, `max`, `count`, `rate`, `increase`]",
+		)
+	}
+	return aggregationColumn, nil
 }

pkg/telemetrymetrics/condition_builder.go

@@ -29,13 +29,7 @@ func (c *conditionBuilder) conditionFor(
 	sb *sqlbuilder.SelectBuilder,
 ) (string, error) {
 
-	switch operator {
-	case qbtypes.FilterOperatorContains,
-		qbtypes.FilterOperatorNotContains,
-		qbtypes.FilterOperatorILike,
-		qbtypes.FilterOperatorNotILike,
-		qbtypes.FilterOperatorLike,
-		qbtypes.FilterOperatorNotLike:
+	if operator.IsStringSearchOperator() {
 		value = querybuilder.FormatValueForContains(value)
 	}
 
@@ -44,6 +38,18 @@ func (c *conditionBuilder) conditionFor(
 		return "", err
 	}
 
+	// TODO(srikanthccv): use the same data type collision handling when metrics schemas are updated
+	switch v := value.(type) {
+	case float64:
+		tblFieldName = fmt.Sprintf("toFloat64OrNull(%s)", tblFieldName)
+	case []any:
+		if len(v) > 0 && (operator == qbtypes.FilterOperatorBetween || operator == qbtypes.FilterOperatorNotBetween) {
+			if _, ok := v[0].(float64); ok {
+				tblFieldName = fmt.Sprintf("toFloat64OrNull(%s)", tblFieldName)
+			}
+		}
+	}
+
 	switch operator {
 	case qbtypes.FilterOperatorEqual:
 		return sb.E(tblFieldName, value), nil

pkg/telemetrymetrics/statement_builder.go

@@ -5,67 +5,27 @@ import (
 	"fmt"
 	"log/slog"
 
+	"github.com/SigNoz/signoz/pkg/errors"
 	"github.com/SigNoz/signoz/pkg/factory"
 	"github.com/SigNoz/signoz/pkg/flagger"
 	"github.com/SigNoz/signoz/pkg/querybuilder"
-	"github.com/SigNoz/signoz/pkg/types/featuretypes"
 	"github.com/SigNoz/signoz/pkg/types/metrictypes"
 	qbtypes "github.com/SigNoz/signoz/pkg/types/querybuildertypes/querybuildertypesv5"
 	"github.com/SigNoz/signoz/pkg/types/telemetrytypes"
-	"github.com/SigNoz/signoz/pkg/valuer"
 	"github.com/huandu/go-sqlbuilder"
 	"golang.org/x/exp/slices"
 )
 
 const (
-	RateWithoutNegative     = `If((per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) < 0, per_series_value / (ts - lagInFrame(ts, 1, toDateTime(fromUnixTimestamp64Milli(%d))) OVER rate_window), (per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) / (ts - lagInFrame(ts, 1, toDateTime(fromUnixTimestamp64Milli(%d))) OVER rate_window))`
-	IncreaseWithoutNegative = `If((per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) < 0, per_series_value, ((per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) / (ts - lagInFrame(ts, 1, toDateTime(fromUnixTimestamp64Milli(%d))) OVER rate_window)) * (ts - lagInFrame(ts, 1, toDateTime(fromUnixTimestamp64Milli(%d))) OVER rate_window))`
+	RateTmpl = `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))`
 
-	RateWithoutNegativeMultiTemporality     = `IF(LOWER(temporality) LIKE LOWER('delta'), %s, IF((%s - lagInFrame(%s, 1, 0) OVER rate_window) < 0, %s / (ts - lagInFrame(ts, 1, toDateTime(fromUnixTimestamp64Milli(%d))) OVER rate_window), (%s - lagInFrame(%s, 1, 0) OVER rate_window) / (ts - lagInFrame(ts, 1, toDateTime(fromUnixTimestamp64Milli(%d))) OVER rate_window))) AS per_series_value`
-	IncreaseWithoutNegativeMultiTemporality = `IF(LOWER(temporality) LIKE LOWER('delta'), %s, IF((%s - lagInFrame(%s, 1, 0) OVER rate_window) < 0, %s, ((%s - lagInFrame(%s, 1, 0) OVER rate_window) / (ts - lagInFrame(ts, 1, toDateTime(fromUnixTimestamp64Milli(%d))) OVER rate_window)) * (ts - lagInFrame(ts, 1, toDateTime(fromUnixTimestamp64Milli(%d))) OVER rate_window))) AS per_series_value`
-	OthersMultiTemporality                  = `IF(LOWER(temporality) LIKE LOWER('delta'), %s, %s) AS per_series_value`
+	IncreaseTmpl = `multiIf(row_number() OVER rate_window = 1, nan, (per_series_value - lagInFrame(per_series_value, 1) OVER rate_window) < 0, per_series_value, per_series_value - lagInFrame(per_series_value, 1) OVER rate_window)`
 
-	RateWithInterpolation = `
-		CASE 
-			WHEN row_number() OVER rate_window = 1 THEN 
-				-- First row: try to interpolate using next value
-				CASE 
-					WHEN leadInFrame(per_series_value, 1) OVER rate_window IS NOT NULL THEN
-						-- Assume linear growth to next point
-						(leadInFrame(per_series_value, 1) OVER rate_window - per_series_value) / 
-						(leadInFrame(ts, 1) OVER rate_window - ts)
-					ELSE 
-						0  -- No next value either, can't interpolate
-				END
-			WHEN (per_series_value - lagInFrame(per_series_value, 1) OVER rate_window) < 0 THEN
-				-- Counter reset detected
-				per_series_value / (ts - lagInFrame(ts, 1) OVER rate_window)
-			ELSE 
-				-- Normal case: calculate rate
-				(per_series_value - lagInFrame(per_series_value, 1) OVER rate_window) / 
-				(ts - lagInFrame(ts, 1) OVER rate_window)
-		END`
+	RateWithoutNegativeMultiTemporality = `IF(LOWER(temporality) LIKE LOWER('delta'), %s, multiIf(row_number() OVER rate_window = 1, nan, (%s - lagInFrame(%s, 1) OVER rate_window) < 0, %s / (ts - lagInFrame(ts, 1) OVER rate_window), (%s - lagInFrame(%s, 1) OVER rate_window) / (ts - lagInFrame(ts, 1) OVER rate_window))) AS per_series_value`
 
-	IncreaseWithInterpolation = `
-		CASE 
-			WHEN row_number() OVER rate_window = 1 THEN 
-				-- First row: try to interpolate using next value
-				CASE 
-					WHEN leadInFrame(per_series_value, 1) OVER rate_window IS NOT NULL THEN
-						-- Calculate the interpolated increase for this interval
-						((leadInFrame(per_series_value, 1) OVER rate_window - per_series_value) / 
-						 (leadInFrame(ts, 1) OVER rate_window - ts)) * 
-						(leadInFrame(ts, 1) OVER rate_window - ts)
-					ELSE 
-						0  -- No next value either, can't interpolate
-				END
-			WHEN (per_series_value - lagInFrame(per_series_value, 1) OVER rate_window) < 0 THEN
-				-- Counter reset detected: the increase is the current value
-				per_series_value
-			ELSE 
-				-- Normal case: calculate increase
-				(per_series_value - lagInFrame(per_series_value, 1) OVER rate_window)
-		END`
+	IncreaseWithoutNegativeMultiTemporality = `IF(LOWER(temporality) LIKE LOWER('delta'), %s, multiIf(row_number() OVER rate_window = 1, nan, (%s - lagInFrame(%s, 1) OVER rate_window) < 0, %s, (%s - lagInFrame(%s, 1) OVER rate_window))) AS per_series_value`
+
+	OthersMultiTemporality = `IF(LOWER(temporality) LIKE LOWER('delta'), %s, %s) AS per_series_value`
 )
 
 type MetricQueryStatementBuilder struct {
@@ -147,54 +107,6 @@ func (b *MetricQueryStatementBuilder) Build(
 	return b.buildPipelineStatement(ctx, start, end, query, keys, variables)
 }
 
-// Fast‑path (no fingerprint grouping)
-// canShortCircuitDelta returns true if we can use the optimized query
-// for the given query
-// This is used to avoid the group by fingerprint thus improving the performance
-// for certain queries
-// cases where we can short circuit:
-// 1. time aggregation = (rate|increase) and space aggregation = sum
-//   - rate = sum(value)/step, increase = sum(value) - sum of sums is same as sum of all values
-//
-// 2. time aggregation = sum and space aggregation = sum
-//   - sum of sums is same as sum of all values
-//
-// 3. time aggregation = min and space aggregation = min
-//   - min of mins is same as min of all values
-//
-// 4. time aggregation = max and space aggregation = max
-//   - max of maxs is same as max of all values
-//
-// 5. special case exphist, there is no need for per series/fingerprint aggregation
-// we can directly use the quantilesDDMerge function
-//
-// all of this is true only for delta metrics
-func (b *MetricQueryStatementBuilder) CanShortCircuitDelta(q qbtypes.QueryBuilderQuery[qbtypes.MetricAggregation]) bool {
-	if q.Aggregations[0].Temporality != metrictypes.Delta {
-		return false
-	}
-
-	ta := q.Aggregations[0].TimeAggregation
-	sa := q.Aggregations[0].SpaceAggregation
-
-	if (ta == metrictypes.TimeAggregationRate || ta == metrictypes.TimeAggregationIncrease) && sa == metrictypes.SpaceAggregationSum {
-		return true
-	}
-	if ta == metrictypes.TimeAggregationSum && sa == metrictypes.SpaceAggregationSum {
-		return true
-	}
-	if ta == metrictypes.TimeAggregationMin && sa == metrictypes.SpaceAggregationMin {
-		return true
-	}
-	if ta == metrictypes.TimeAggregationMax && sa == metrictypes.SpaceAggregationMax {
-		return true
-	}
-	if q.Aggregations[0].Type == metrictypes.ExpHistogramType && sa.IsPercentile() {
-		return true
-	}
-	return false
-}
-
 func (b *MetricQueryStatementBuilder) buildPipelineStatement(
 	ctx context.Context,
 	start, end uint64,
@@ -256,10 +168,11 @@ func (b *MetricQueryStatementBuilder) buildPipelineStatement(
 		return nil, err
 	}
 
-	if b.CanShortCircuitDelta(query) {
+	if qbtypes.CanShortCircuitDelta(query.Aggregations[0]) {
 		// spatial_aggregation_cte directly for certain delta queries
-		frag, args := b.buildTemporalAggDeltaFastPath(start, end, query, timeSeriesCTE, timeSeriesCTEArgs)
-		if frag != "" {
+		if frag, args, err := b.buildTemporalAggDeltaFastPath(start, end, query, timeSeriesCTE, timeSeriesCTEArgs); err != nil {
+			return nil, err
+		} else if frag != "" {
 			cteFragments = append(cteFragments, frag)
 			cteArgs = append(cteArgs, args)
 		}
@@ -273,8 +186,9 @@ func (b *MetricQueryStatementBuilder) buildPipelineStatement(
 		}
 
 		// spatial_aggregation_cte
-		frag, args := b.buildSpatialAggregationCTE(ctx, start, end, query, keys)
-		if frag != "" {
+		if frag, args, err := b.buildSpatialAggregationCTE(ctx, start, end, query, keys); err != nil {
+			return nil, err
+		} else if frag != "" {
 			cteFragments = append(cteFragments, frag)
 			cteArgs = append(cteArgs, args)
 		}
@@ -294,7 +208,7 @@ func (b *MetricQueryStatementBuilder) buildTemporalAggDeltaFastPath(
 	query qbtypes.QueryBuilderQuery[qbtypes.MetricAggregation],
 	timeSeriesCTE string,
 	timeSeriesCTEArgs []any,
-) (string, []any) {
+) (string, []any, error) {
 	stepSec := int64(query.StepInterval.Seconds())
 
 	sb := sqlbuilder.NewSelectBuilder()
@@ -307,11 +221,15 @@ func (b *MetricQueryStatementBuilder) buildTemporalAggDeltaFastPath(
 		sb.SelectMore(fmt.Sprintf("`%s`", g.TelemetryFieldKey.Name))
 	}
 
-	aggCol := AggregationColumnForSamplesTable(
+	aggCol, err := AggregationColumnForSamplesTable(
 		start, end, query.Aggregations[0].Type, query.Aggregations[0].Temporality,
 		query.Aggregations[0].TimeAggregation, query.Aggregations[0].TableHints,
 	)
+	if err != nil {
+		return "", nil, err
+	}
 	if query.Aggregations[0].TimeAggregation == metrictypes.TimeAggregationRate {
+		// TODO(srikanthccv): should it be step interval or use [start_time_unix_nano](https://github.com/open-telemetry/opentelemetry-proto/blob/d3fb76d70deb0874692bd0ebe03148580d85f3bb/opentelemetry/proto/metrics/v1/metrics.proto#L400C11-L400C31)?
 		aggCol = fmt.Sprintf("%s/%d", aggCol, stepSec)
 	}
 
@@ -334,7 +252,7 @@ func (b *MetricQueryStatementBuilder) buildTemporalAggDeltaFastPath(
 	sb.GroupBy(querybuilder.GroupByKeys(query.GroupBy)...)
 
 	q, args := sb.BuildWithFlavor(sqlbuilder.ClickHouse, timeSeriesCTEArgs...)
-	return fmt.Sprintf("__spatial_aggregation_cte AS (%s)", q), args
+	return fmt.Sprintf("__spatial_aggregation_cte AS (%s)", q), args, nil
 }
 
 func (b *MetricQueryStatementBuilder) buildTimeSeriesCTE(
@@ -437,8 +355,12 @@ func (b *MetricQueryStatementBuilder) buildTemporalAggDelta(
 		sb.SelectMore(fmt.Sprintf("`%s`", g.TelemetryFieldKey.Name))
 	}
 
-	aggCol := AggregationColumnForSamplesTable(start, end, query.Aggregations[0].Type, query.Aggregations[0].Temporality, query.Aggregations[0].TimeAggregation, query.Aggregations[0].TableHints)
+	aggCol, err := AggregationColumnForSamplesTable(start, end, query.Aggregations[0].Type, query.Aggregations[0].Temporality, query.Aggregations[0].TimeAggregation, query.Aggregations[0].TableHints)
+	if err != nil {
+		return "", nil, err
+	}
 	if query.Aggregations[0].TimeAggregation == metrictypes.TimeAggregationRate {
+		// TODO(srikanthccv): should it be step interval or use [start_time_unix_nano](https://github.com/open-telemetry/opentelemetry-proto/blob/d3fb76d70deb0874692bd0ebe03148580d85f3bb/opentelemetry/proto/metrics/v1/metrics.proto#L400C11-L400C31)?
 		aggCol = fmt.Sprintf("%s/%d", aggCol, stepSec)
 	}
 
@@ -461,7 +383,7 @@ func (b *MetricQueryStatementBuilder) buildTemporalAggDelta(
 }
 
 func (b *MetricQueryStatementBuilder) buildTemporalAggCumulativeOrUnspecified(
-	ctx context.Context,
+	_ context.Context,
 	start, end uint64,
 	query qbtypes.QueryBuilderQuery[qbtypes.MetricAggregation],
 	timeSeriesCTE string,
@@ -479,7 +401,10 @@ func (b *MetricQueryStatementBuilder) buildTemporalAggCumulativeOrUnspecified(
 		baseSb.SelectMore(fmt.Sprintf("`%s`", g.TelemetryFieldKey.Name))
 	}
 
-	aggCol := AggregationColumnForSamplesTable(start, end, query.Aggregations[0].Type, query.Aggregations[0].Temporality, query.Aggregations[0].TimeAggregation, query.Aggregations[0].TableHints)
+	aggCol, err := AggregationColumnForSamplesTable(start, end, query.Aggregations[0].Type, query.Aggregations[0].Temporality, query.Aggregations[0].TimeAggregation, query.Aggregations[0].TableHints)
+	if err != nil {
+		return "", nil, err
+	}
 	baseSb.SelectMore(fmt.Sprintf("%s AS per_series_value", aggCol))
 
 	tbl := WhichSamplesTableToUse(start, end, query.Aggregations[0].Type, query.Aggregations[0].TimeAggregation, query.Aggregations[0].TableHints)
@@ -496,36 +421,25 @@ func (b *MetricQueryStatementBuilder) buildTemporalAggCumulativeOrUnspecified(
 
 	innerQuery, innerArgs := baseSb.BuildWithFlavor(sqlbuilder.ClickHouse, timeSeriesCTEArgs...)
 
-	// ! TODO (balanikaran) Get OrgID via function parameter instead of valuer.GenerateUUID()
-	interpolationEnabled := b.flagger.BooleanOrEmpty(ctx, flagger.FeatureInterpolationEnabled, featuretypes.NewFlaggerEvaluationContext(valuer.GenerateUUID()))
-
 	switch query.Aggregations[0].TimeAggregation {
 	case metrictypes.TimeAggregationRate:
-		rateExpr := fmt.Sprintf(RateWithoutNegative, start, start)
-		if interpolationEnabled {
-			rateExpr = RateWithInterpolation
-		}
 		wrapped := sqlbuilder.NewSelectBuilder()
 		wrapped.Select("ts")
 		for _, g := range query.GroupBy {
 			wrapped.SelectMore(fmt.Sprintf("`%s`", g.TelemetryFieldKey.Name))
 		}
-		wrapped.SelectMore(fmt.Sprintf("%s AS per_series_value", rateExpr))
+		wrapped.SelectMore(fmt.Sprintf("%s AS per_series_value", RateTmpl))
 		wrapped.From(fmt.Sprintf("(%s) WINDOW rate_window AS (PARTITION BY fingerprint ORDER BY fingerprint, ts)", innerQuery))
 		q, args := wrapped.BuildWithFlavor(sqlbuilder.ClickHouse, innerArgs...)
 		return fmt.Sprintf("__temporal_aggregation_cte AS (%s)", q), args, nil
 
 	case metrictypes.TimeAggregationIncrease:
-		incExpr := fmt.Sprintf(IncreaseWithoutNegative, start, start)
-		if interpolationEnabled {
-			incExpr = IncreaseWithInterpolation
-		}
 		wrapped := sqlbuilder.NewSelectBuilder()
 		wrapped.Select("ts")
 		for _, g := range query.GroupBy {
 			wrapped.SelectMore(fmt.Sprintf("`%s`", g.TelemetryFieldKey.Name))
 		}
-		wrapped.SelectMore(fmt.Sprintf("%s AS per_series_value", incExpr))
+		wrapped.SelectMore(fmt.Sprintf("%s AS per_series_value", IncreaseTmpl))
 		wrapped.From(fmt.Sprintf("(%s) WINDOW rate_window AS (PARTITION BY fingerprint ORDER BY fingerprint, ts)", innerQuery))
 		q, args := wrapped.BuildWithFlavor(sqlbuilder.ClickHouse, innerArgs...)
 		return fmt.Sprintf("__temporal_aggregation_cte AS (%s)", q), args, nil
@@ -534,7 +448,6 @@ func (b *MetricQueryStatementBuilder) buildTemporalAggCumulativeOrUnspecified(
 	}
 }
 
-// because RateInterpolation is not enabled anywhere due to some gaps in the logic wrt cache handling, it hasn't been considered for the multi temporality
 func (b *MetricQueryStatementBuilder) buildTemporalAggForMultipleTemporalities(
 	_ context.Context,
 	start, end uint64,
@@ -553,18 +466,32 @@ func (b *MetricQueryStatementBuilder) buildTemporalAggForMultipleTemporalities(
 		sb.SelectMore(fmt.Sprintf("`%s`", g.TelemetryFieldKey.Name))
 	}
 
-	aggForDeltaTemporality := AggregationColumnForSamplesTable(start, end, query.Aggregations[0].Type, metrictypes.Delta, query.Aggregations[0].TimeAggregation, query.Aggregations[0].TableHints)
-	aggForCumulativeTemporality := AggregationColumnForSamplesTable(start, end, query.Aggregations[0].Type, metrictypes.Cumulative, query.Aggregations[0].TimeAggregation, query.Aggregations[0].TableHints)
+	aggForDeltaTemporality, err := AggregationColumnForSamplesTable(start, end, query.Aggregations[0].Type, metrictypes.Delta, query.Aggregations[0].TimeAggregation, query.Aggregations[0].TableHints)
+	if err != nil {
+		return "", nil, err
+	}
+	aggForCumulativeTemporality, err := AggregationColumnForSamplesTable(start, end, query.Aggregations[0].Type, metrictypes.Cumulative, query.Aggregations[0].TimeAggregation, query.Aggregations[0].TableHints)
+	if err != nil {
+		return "", nil, err
+	}
 	if query.Aggregations[0].TimeAggregation == metrictypes.TimeAggregationRate {
 		aggForDeltaTemporality = fmt.Sprintf("%s/%d", aggForDeltaTemporality, stepSec)
 	}
 
 	switch query.Aggregations[0].TimeAggregation {
 	case metrictypes.TimeAggregationRate:
-		rateExpr := fmt.Sprintf(RateWithoutNegativeMultiTemporality, aggForDeltaTemporality, aggForCumulativeTemporality, aggForCumulativeTemporality, aggForCumulativeTemporality, start, aggForCumulativeTemporality, aggForCumulativeTemporality, start)
+		rateExpr := fmt.Sprintf(RateWithoutNegativeMultiTemporality,
+			aggForDeltaTemporality,
+			aggForCumulativeTemporality, aggForCumulativeTemporality, aggForCumulativeTemporality,
+			aggForCumulativeTemporality, aggForCumulativeTemporality,
+		)
 		sb.SelectMore(rateExpr)
 	case metrictypes.TimeAggregationIncrease:
-		increaseExpr := fmt.Sprintf(IncreaseWithoutNegativeMultiTemporality, aggForDeltaTemporality, aggForCumulativeTemporality, aggForCumulativeTemporality, aggForCumulativeTemporality, aggForCumulativeTemporality, aggForCumulativeTemporality, start, start)
+		increaseExpr := fmt.Sprintf(IncreaseWithoutNegativeMultiTemporality,
+			aggForDeltaTemporality,
+			aggForCumulativeTemporality, aggForCumulativeTemporality, aggForCumulativeTemporality,
+			aggForCumulativeTemporality, aggForCumulativeTemporality,
+		)
 		sb.SelectMore(increaseExpr)
 	default:
 		expr := fmt.Sprintf(OthersMultiTemporality, aggForDeltaTemporality, aggForCumulativeTemporality)
@@ -592,7 +519,14 @@ func (b *MetricQueryStatementBuilder) buildSpatialAggregationCTE(
 	_ uint64,
 	query qbtypes.QueryBuilderQuery[qbtypes.MetricAggregation],
 	_ map[string][]*telemetrytypes.TelemetryFieldKey,
-) (string, []any) {
+) (string, []any, error) {
+	if query.Aggregations[0].SpaceAggregation.IsZero() {
+		return "", nil, errors.Newf(
+			errors.TypeInvalidInput,
+			errors.CodeInvalidInput,
+			"invalid space aggregation, should be one of the following: [`sum`, `avg`, `min`, `max`, `count`, `p50`, `p75`, `p90`, `p95`, `p99`]",
+		)
+	}
 	sb := sqlbuilder.NewSelectBuilder()
 
 	sb.Select("ts")
@@ -609,7 +543,7 @@ func (b *MetricQueryStatementBuilder) buildSpatialAggregationCTE(
 	sb.GroupBy(querybuilder.GroupByKeys(query.GroupBy)...)
 
 	q, args := sb.BuildWithFlavor(sqlbuilder.ClickHouse)
-	return fmt.Sprintf("__spatial_aggregation_cte AS (%s)", q), args
+	return fmt.Sprintf("__spatial_aggregation_cte AS (%s)", q), args, nil
 }
 
 func (b *MetricQueryStatementBuilder) BuildFinalSelect(
@@ -641,9 +575,7 @@ func (b *MetricQueryStatementBuilder) BuildFinalSelect(
 			quantile,
 		))
 		sb.From("__spatial_aggregation_cte")
-		for _, g := range query.GroupBy {
-			sb.GroupBy(fmt.Sprintf("`%s`", g.TelemetryFieldKey.Name))
-		}
+		sb.GroupBy(querybuilder.GroupByKeys(query.GroupBy)...)
 		sb.GroupBy("ts")
 		if query.Having != nil && query.Having.Expression != "" {
 			rewriter := querybuilder.NewHavingExpressionRewriter()
@@ -659,6 +591,8 @@ func (b *MetricQueryStatementBuilder) BuildFinalSelect(
 			sb.Where(rewrittenExpr)
 		}
 	}
+	sb.OrderBy(querybuilder.GroupByKeys(query.GroupBy)...)
+	sb.OrderBy("ts")
 
 	q, a := sb.BuildWithFlavor(sqlbuilder.ClickHouse)
 	return &qbtypes.Statement{Query: combined + q, Args: append(args, a...)}, nil

pkg/telemetrymetrics/stmt_builder_test.go

@@ -50,7 +50,7 @@ func TestStatementBuilder(t *testing.T) {
 				},
 			},
 			expected: qbtypes.Statement{
-				Query: "WITH __temporal_aggregation_cte AS (SELECT ts, `service.name`, If((per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) < 0, per_series_value / (ts - lagInFrame(ts, 1, toDateTime(fromUnixTimestamp64Milli(1747947360000))) OVER rate_window), (per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) / (ts - lagInFrame(ts, 1, toDateTime(fromUnixTimestamp64Milli(1747947360000))) OVER rate_window)) AS per_series_value FROM (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(30)) AS ts, `service.name`, 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` FROM signoz_metrics.time_series_v4_6hrs WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND LOWER(temporality) LIKE LOWER(?) AND __normalized = ? AND JSONExtractString(labels, 'service.name') = ? GROUP BY fingerprint, `service.name`) 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` ORDER BY fingerprint, ts) WINDOW rate_window AS (PARTITION BY fingerprint ORDER BY fingerprint, ts)), __spatial_aggregation_cte AS (SELECT ts, `service.name`, sum(per_series_value) AS value FROM __temporal_aggregation_cte WHERE isNaN(per_series_value) = ? GROUP BY ts, `service.name`) SELECT * FROM __spatial_aggregation_cte",
+				Query: "WITH __temporal_aggregation_cte AS (SELECT ts, `service.name`, 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`, 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` FROM signoz_metrics.time_series_v4_6hrs WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND LOWER(temporality) LIKE LOWER(?) AND __normalized = ? AND JSONExtractString(labels, 'service.name') = ? GROUP BY fingerprint, `service.name`) 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` ORDER BY fingerprint, ts) WINDOW rate_window AS (PARTITION BY fingerprint ORDER BY fingerprint, ts)), __spatial_aggregation_cte AS (SELECT ts, `service.name`, sum(per_series_value) AS value FROM __temporal_aggregation_cte WHERE isNaN(per_series_value) = ? GROUP BY ts, `service.name`) SELECT * FROM __spatial_aggregation_cte ORDER BY `service.name`, ts",
 				Args:  []any{"signoz_calls_total", uint64(1747936800000), uint64(1747983420000), "cumulative", false, "cartservice", "signoz_calls_total", uint64(1747947360000), uint64(1747983420000), 0},
 			},
 			expectedErr: nil,
@@ -83,7 +83,7 @@ func TestStatementBuilder(t *testing.T) {
 				},
 			},
 			expected: qbtypes.Statement{
-				Query: "WITH __temporal_aggregation_cte AS (SELECT ts, `service.name`, If((per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) < 0, per_series_value / (ts - lagInFrame(ts, 1, toDateTime(fromUnixTimestamp64Milli(1747947360000))) OVER rate_window), (per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) / (ts - lagInFrame(ts, 1, toDateTime(fromUnixTimestamp64Milli(1747947360000))) OVER rate_window)) AS per_series_value FROM (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(30)) AS ts, `service.name`, 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` FROM signoz_metrics.time_series_v4_6hrs WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND LOWER(temporality) LIKE LOWER(?) AND __normalized = ? AND (match(JSONExtractString(labels, 'materialized.key.name'), ?) OR JSONExtractString(labels, 'service.name') = ?) GROUP BY fingerprint, `service.name`) 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` ORDER BY fingerprint, ts) WINDOW rate_window AS (PARTITION BY fingerprint ORDER BY fingerprint, ts)), __spatial_aggregation_cte AS (SELECT ts, `service.name`, sum(per_series_value) AS value FROM __temporal_aggregation_cte WHERE isNaN(per_series_value) = ? GROUP BY ts, `service.name`) SELECT * FROM __spatial_aggregation_cte",
+				Query: "WITH __temporal_aggregation_cte AS (SELECT ts, `service.name`, 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`, 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` FROM signoz_metrics.time_series_v4_6hrs WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND LOWER(temporality) LIKE LOWER(?) AND __normalized = ? AND (match(JSONExtractString(labels, 'materialized.key.name'), ?) OR JSONExtractString(labels, 'service.name') = ?) GROUP BY fingerprint, `service.name`) 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` ORDER BY fingerprint, ts) WINDOW rate_window AS (PARTITION BY fingerprint ORDER BY fingerprint, ts)), __spatial_aggregation_cte AS (SELECT ts, `service.name`, sum(per_series_value) AS value FROM __temporal_aggregation_cte WHERE isNaN(per_series_value) = ? GROUP BY ts, `service.name`) SELECT * FROM __spatial_aggregation_cte ORDER BY `service.name`, ts",
 				Args:  []any{"signoz_calls_total", uint64(1747936800000), uint64(1747983420000), "cumulative", false, "cartservice", "cartservice", "signoz_calls_total", uint64(1747947360000), uint64(1747983420000), 0},
 			},
 			expectedErr: nil,
@@ -116,7 +116,7 @@ func TestStatementBuilder(t *testing.T) {
 				},
 			},
 			expected: qbtypes.Statement{
-				Query: "WITH __spatial_aggregation_cte AS (SELECT toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(30)) AS ts, `service.name`, sum(value)/30 AS value FROM signoz_metrics.distributed_samples_v4 AS points INNER JOIN (SELECT fingerprint, JSONExtractString(labels, 'service.name') AS `service.name` FROM signoz_metrics.time_series_v4_6hrs WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND LOWER(temporality) LIKE LOWER(?) AND __normalized = ? AND JSONExtractString(labels, 'service.name') = ? GROUP BY fingerprint, `service.name`) AS filtered_time_series ON points.fingerprint = filtered_time_series.fingerprint WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? GROUP BY ts, `service.name`) SELECT * FROM __spatial_aggregation_cte",
+				Query: "WITH __spatial_aggregation_cte AS (SELECT toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(30)) AS ts, `service.name`, sum(value)/30 AS value FROM signoz_metrics.distributed_samples_v4 AS points INNER JOIN (SELECT fingerprint, JSONExtractString(labels, 'service.name') AS `service.name` FROM signoz_metrics.time_series_v4_6hrs WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND LOWER(temporality) LIKE LOWER(?) AND __normalized = ? AND JSONExtractString(labels, 'service.name') = ? GROUP BY fingerprint, `service.name`) AS filtered_time_series ON points.fingerprint = filtered_time_series.fingerprint WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? GROUP BY ts, `service.name`) SELECT * FROM __spatial_aggregation_cte ORDER BY `service.name`, ts",
 				Args:  []any{"signoz_calls_total", uint64(1747936800000), uint64(1747983420000), "delta", false, "cartservice", "signoz_calls_total", uint64(1747947390000), uint64(1747983420000)},
 			},
 			expectedErr: nil,
@@ -148,7 +148,7 @@ func TestStatementBuilder(t *testing.T) {
 				},
 			},
 			expected: qbtypes.Statement{
-				Query: "WITH __spatial_aggregation_cte AS (SELECT toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(30)) AS ts, `service.name`, `le`, sum(value)/30 AS 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 = ? AND JSONExtractString(labels, 'service.name') = ? 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 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",
+				Query: "WITH __spatial_aggregation_cte AS (SELECT toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(30)) AS ts, `service.name`, `le`, sum(value)/30 AS 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 = ? AND JSONExtractString(labels, 'service.name') = ? 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 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",
 				Args:  []any{"signoz_latency", uint64(1747936800000), uint64(1747983420000), "delta", false, "cartservice", "signoz_latency", uint64(1747947390000), uint64(1747983420000)},
 			},
 			expectedErr: nil,
@@ -181,7 +181,7 @@ func TestStatementBuilder(t *testing.T) {
 				},
 			},
 			expected: qbtypes.Statement{
-				Query: "WITH __temporal_aggregation_cte AS (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(30)) AS ts, `host.name`, avg(value) AS per_series_value FROM signoz_metrics.distributed_samples_v4 AS points INNER JOIN (SELECT fingerprint, JSONExtractString(labels, 'host.name') AS `host.name` FROM signoz_metrics.time_series_v4_6hrs WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND LOWER(temporality) LIKE LOWER(?) AND __normalized = ? AND JSONExtractString(labels, 'host.name') = ? GROUP BY fingerprint, `host.name`) 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, `host.name` ORDER BY fingerprint, ts), __spatial_aggregation_cte AS (SELECT ts, `host.name`, sum(per_series_value) AS value FROM __temporal_aggregation_cte WHERE isNaN(per_series_value) = ? GROUP BY ts, `host.name`) SELECT * FROM __spatial_aggregation_cte",
+				Query: "WITH __temporal_aggregation_cte AS (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(30)) AS ts, `host.name`, avg(value) AS per_series_value FROM signoz_metrics.distributed_samples_v4 AS points INNER JOIN (SELECT fingerprint, JSONExtractString(labels, 'host.name') AS `host.name` FROM signoz_metrics.time_series_v4_6hrs WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND LOWER(temporality) LIKE LOWER(?) AND __normalized = ? AND JSONExtractString(labels, 'host.name') = ? GROUP BY fingerprint, `host.name`) 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, `host.name` ORDER BY fingerprint, ts), __spatial_aggregation_cte AS (SELECT ts, `host.name`, sum(per_series_value) AS value FROM __temporal_aggregation_cte WHERE isNaN(per_series_value) = ? GROUP BY ts, `host.name`) SELECT * FROM __spatial_aggregation_cte ORDER BY `host.name`, ts",
 				Args:  []any{"system.memory.usage", uint64(1747936800000), uint64(1747983420000), "unspecified", false, "big-data-node-1", "system.memory.usage", uint64(1747947390000), uint64(1747983420000), 0},
 			},
 			expectedErr: nil,
@@ -210,7 +210,7 @@ func TestStatementBuilder(t *testing.T) {
 				},
 			},
 			expected: qbtypes.Statement{
-				Query: "WITH __temporal_aggregation_cte AS (SELECT ts, `service.name`, `le`, If((per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) < 0, per_series_value / (ts - lagInFrame(ts, 1, toDateTime(fromUnixTimestamp64Milli(1747947390000))) OVER rate_window), (per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) / (ts - lagInFrame(ts, 1, toDateTime(fromUnixTimestamp64Milli(1747947390000))) 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",
+				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",
 				Args:  []any{"http_server_duration_bucket", uint64(1747936800000), uint64(1747983420000), "cumulative", false, "http_server_duration_bucket", uint64(1747947390000), uint64(1747983420000), 0},
 			},
 			expectedErr: nil,

pkg/telemetrymetrics/tables.go

@@ -3,6 +3,7 @@ package telemetrymetrics
 import (
 	"time"
 
+	"github.com/SigNoz/signoz/pkg/errors"
 	"github.com/SigNoz/signoz/pkg/types/metrictypes"
 )
 
@@ -168,7 +169,7 @@ func AggregationColumnForSamplesTable(
 	temporality metrictypes.Temporality,
 	timeAggregation metrictypes.TimeAggregation,
 	tableHints *metrictypes.MetricTableHints,
-) string {
+) (string, error) {
 	tableName := WhichSamplesTableToUse(start, end, metricType, timeAggregation, tableHints)
 	var aggregationColumn string
 	switch temporality {
@@ -298,5 +299,12 @@ func AggregationColumnForSamplesTable(
 			}
 		}
 	}
-	return aggregationColumn
+	if aggregationColumn == "" {
+		return "", errors.Newf(
+			errors.TypeInvalidInput,
+			errors.CodeInvalidInput,
+			"invalid time aggregation, should be one of the following: [`latest`, `sum`, `avg`, `min`, `max`, `count`, `rate`, `increase`]",
+		)
+	}
+	return aggregationColumn, nil
 }

pkg/telemetrytraces/condition_builder.go

@@ -35,13 +35,7 @@ func (c *conditionBuilder) conditionFor(
 	sb *sqlbuilder.SelectBuilder,
 ) (string, error) {
 
-	switch operator {
-	case qbtypes.FilterOperatorContains,
-		qbtypes.FilterOperatorNotContains,
-		qbtypes.FilterOperatorILike,
-		qbtypes.FilterOperatorNotILike,
-		qbtypes.FilterOperatorLike,
-		qbtypes.FilterOperatorNotLike:
+	if operator.IsStringSearchOperator() {
 		value = querybuilder.FormatValueForContains(value)
 	}
 

pkg/types/querybuildertypes/querybuildertypesv5/builder_elements.go

@@ -152,7 +152,9 @@ func (f FilterOperator) IsStringSearchOperator() bool {
 		FilterOperatorILike,
 		FilterOperatorNotILike,
 		FilterOperatorLike,
-		FilterOperatorNotLike:
+		FilterOperatorNotLike,
+		FilterOperatorRegexp,
+		FilterOperatorNotRegexp:
 		return true
 	default:
 		return false

pkg/types/querybuildertypes/querybuildertypesv5/builder_query.go

@@ -3,6 +3,7 @@ package querybuildertypesv5
 import (
 	"fmt"
 
+	"github.com/SigNoz/signoz/pkg/types/metrictypes"
 	"github.com/SigNoz/signoz/pkg/types/telemetrytypes"
 )
 
@@ -174,3 +175,54 @@ func (q *QueryBuilderQuery[T]) Normalize() {
 	}
 
 }
+
+// Fast‑path (no fingerprint grouping)
+// canShortCircuitDelta returns true if we can use the optimized query
+// for the given query
+// This is used to avoid the group by fingerprint thus improving the performance
+// for certain queries
+// cases where we can short circuit:
+// 1. time aggregation = (rate|increase) and space aggregation = sum
+//   - rate = sum(value)/step, increase = sum(value) - sum of sums is same as sum of all values
+//
+// 2. time aggregation = sum and space aggregation = sum
+//   - sum of sums is same as sum of all values
+//
+// 3. time aggregation = min and space aggregation = min
+//   - min of mins is same as min of all values
+//
+// 4. time aggregation = max and space aggregation = max
+//   - max of maxs is same as max of all values
+//
+// 5. special case exphist, there is no need for per series/fingerprint aggregation
+// we can directly use the quantilesDDMerge function
+//
+// all of this is true only for delta metrics
+func CanShortCircuitDelta(metricAgg MetricAggregation) bool {
+
+	if metricAgg.Temporality != metrictypes.Delta {
+		return false
+	}
+
+	ta := metricAgg.TimeAggregation
+	sa := metricAgg.SpaceAggregation
+
+	if (ta == metrictypes.TimeAggregationRate || ta == metrictypes.TimeAggregationIncrease) &&
+		sa == metrictypes.SpaceAggregationSum {
+		return true
+	}
+	if ta == metrictypes.TimeAggregationSum && sa == metrictypes.SpaceAggregationSum {
+		return true
+	}
+	if ta == metrictypes.TimeAggregationMin && sa == metrictypes.SpaceAggregationMin {
+		return true
+	}
+	if ta == metrictypes.TimeAggregationMax && sa == metrictypes.SpaceAggregationMax {
+		return true
+	}
+	if metricAgg.Type == metrictypes.ExpHistogramType && sa.IsPercentile() {
+		return true
+	}
+
+	return false
+}

pkg/types/querybuildertypes/querybuildertypesv5/qb.go

@@ -12,6 +12,7 @@ import (
 var (
 	ErrColumnNotFound      = errors.Newf(errors.TypeNotFound, errors.CodeNotFound, "field not found")
 	ErrBetweenValues       = errors.Newf(errors.TypeInvalidInput, errors.CodeInvalidInput, "(not) between operator requires two values")
+	ErrBetweenValuesType   = errors.Newf(errors.TypeInvalidInput, errors.CodeInvalidInput, "(not) between operator requires two values of the number type")
 	ErrInValues            = errors.Newf(errors.TypeInvalidInput, errors.CodeInvalidInput, "(not) in operator requires a list of values")
 	ErrUnsupportedOperator = errors.Newf(errors.TypeInvalidInput, errors.CodeInvalidInput, "unsupported operator")
 )

pkg/types/querybuildertypes/querybuildertypesv5/req.go

@@ -75,7 +75,7 @@ func (q *QueryEnvelope) UnmarshalJSON(data []byte) error {
 
 	case QueryTypeFormula:
 		var spec QueryBuilderFormula
-		// TODO: use json.Unmarshal here after implementing custom unmarshaler for QueryBuilderFormula
+		// TODO(srikanthccv): use json.Unmarshal here after implementing custom unmarshaler for QueryBuilderFormula
 		if err := UnmarshalJSONWithContext(shadow.Spec, &spec, "formula spec"); err != nil {
 			return wrapUnmarshalError(err, "invalid formula spec: %v", err)
 		}
@@ -83,7 +83,7 @@ func (q *QueryEnvelope) UnmarshalJSON(data []byte) error {
 
 	case QueryTypeJoin:
 		var spec QueryBuilderJoin
-		// TODO: use json.Unmarshal here after implementing custom unmarshaler for QueryBuilderJoin
+		// TODO(srikanthccv): use json.Unmarshal here after implementing custom unmarshaler for QueryBuilderJoin
 		if err := UnmarshalJSONWithContext(shadow.Spec, &spec, "join spec"); err != nil {
 			return wrapUnmarshalError(err, "invalid join spec: %v", err)
 		}
@@ -98,7 +98,7 @@ func (q *QueryEnvelope) UnmarshalJSON(data []byte) error {
 
 	case QueryTypePromQL:
 		var spec PromQuery
-		// TODO: use json.Unmarshal here after implementing custom unmarshaler for PromQuery
+		// TODO(srikanthccv): use json.Unmarshal here after implementing custom unmarshaler for PromQuery
 		if err := UnmarshalJSONWithContext(shadow.Spec, &spec, "PromQL spec"); err != nil {
 			return wrapUnmarshalError(err, "invalid PromQL spec: %v", err)
 		}
@@ -106,7 +106,7 @@ func (q *QueryEnvelope) UnmarshalJSON(data []byte) error {
 
 	case QueryTypeClickHouseSQL:
 		var spec ClickHouseQuery
-		// TODO: use json.Unmarshal here after implementing custom unmarshaler for ClickHouseQuery
+		// TODO(srikanthccv): use json.Unmarshal here after implementing custom unmarshaler for ClickHouseQuery
 		if err := UnmarshalJSONWithContext(shadow.Spec, &spec, "ClickHouse SQL spec"); err != nil {
 			return wrapUnmarshalError(err, "invalid ClickHouse SQL spec: %v", err)
 		}
@@ -439,7 +439,7 @@ func (r *QueryRangeRequest) GetQueriesSupportingZeroDefault() map[string]bool {
 		expr = strings.ToLower(expr)
 		// only pure additive/counting operations should default to zero,
 		// while statistical/analytical operations should show gaps when there's no data to analyze.
-		// TODO: use newExprVisitor for getting the function used in the expression
+		// TODO(srikanthccv): use newExprVisitor for getting the function used in the expression
 		if strings.HasPrefix(expr, "count(") ||
 			strings.HasPrefix(expr, "count_distinct(") ||
 			strings.HasPrefix(expr, "sum(") ||

pkg/types/querybuildertypes/querybuildertypesv5/request_type.go

@@ -21,3 +21,12 @@ var (
 	// []Bucket (struct{Lower,Upper,Count float64}), example: histogram
 	RequestTypeDistribution = RequestType{valuer.NewString("distribution")}
 )
+
+// IsAggregation returns true for request types that produce aggregated results
+// (time_series, scalar, distribution). For these types, fields like groupBy,
+// having, aggregations, and orderBy (with aggregation key validation) are meaningful.
+// For non-aggregation types (raw, raw_stream, trace), those fields are ignored
+// and don't need to be validated.
+func (r RequestType) IsAggregation() bool {
+	return r == RequestTypeTimeSeries || r == RequestTypeScalar || r == RequestTypeDistribution
+}

pkg/types/querybuildertypes/querybuildertypesv5/validation.go

@@ -10,54 +10,78 @@ import (
 	"github.com/SigNoz/signoz/pkg/types/telemetrytypes"
 )
 
+// queryName returns the name from any query envelope spec type.
+func (e QueryEnvelope) queryName() string {
+	switch spec := e.Spec.(type) {
+	case QueryBuilderQuery[TraceAggregation]:
+		return spec.Name
+	case QueryBuilderQuery[LogAggregation]:
+		return spec.Name
+	case QueryBuilderQuery[MetricAggregation]:
+		return spec.Name
+	case QueryBuilderFormula:
+		return spec.Name
+	case QueryBuilderTraceOperator:
+		return spec.Name
+	case QueryBuilderJoin:
+		return spec.Name
+	case PromQuery:
+		return spec.Name
+	case ClickHouseQuery:
+		return spec.Name
+	}
+	return ""
+}
+
+// isDisabled returns the disabled status from any query envelope spec type.
+func (e QueryEnvelope) isDisabled() bool {
+	switch spec := e.Spec.(type) {
+	case QueryBuilderQuery[TraceAggregation]:
+		return spec.Disabled
+	case QueryBuilderQuery[LogAggregation]:
+		return spec.Disabled
+	case QueryBuilderQuery[MetricAggregation]:
+		return spec.Disabled
+	case QueryBuilderFormula:
+		return spec.Disabled
+	case QueryBuilderTraceOperator:
+		return spec.Disabled
+	case QueryBuilderJoin:
+		return spec.Disabled
+	case PromQuery:
+		return spec.Disabled
+	case ClickHouseQuery:
+		return spec.Disabled
+	}
+	return false
+}
+
 // getQueryIdentifier returns a friendly identifier for a query based on its type and name/content
 func getQueryIdentifier(envelope QueryEnvelope, index int) string {
+	name := envelope.queryName()
+
+	var typeLabel string
 	switch envelope.Type {
 	case QueryTypeBuilder, QueryTypeSubQuery:
-		switch spec := envelope.Spec.(type) {
-		case QueryBuilderQuery[TraceAggregation]:
-			if spec.Name != "" {
-				return fmt.Sprintf("query '%s'", spec.Name)
-			}
-			return fmt.Sprintf("trace query at position %d", index+1)
-		case QueryBuilderQuery[LogAggregation]:
-			if spec.Name != "" {
-				return fmt.Sprintf("query '%s'", spec.Name)
-			}
-			return fmt.Sprintf("log query at position %d", index+1)
-		case QueryBuilderQuery[MetricAggregation]:
-			if spec.Name != "" {
-				return fmt.Sprintf("query '%s'", spec.Name)
-			}
-			return fmt.Sprintf("metric query at position %d", index+1)
-		}
+		typeLabel = "query"
 	case QueryTypeFormula:
-		if spec, ok := envelope.Spec.(QueryBuilderFormula); ok && spec.Name != "" {
-			return fmt.Sprintf("formula '%s'", spec.Name)
-		}
-		return fmt.Sprintf("formula at position %d", index+1)
+		typeLabel = "formula"
 	case QueryTypeTraceOperator:
-		if spec, ok := envelope.Spec.(QueryBuilderTraceOperator); ok && spec.Name != "" {
-			return fmt.Sprintf("trace operator '%s'", spec.Name)
-		}
-		return fmt.Sprintf("trace operator at position %d", index+1)
+		typeLabel = "trace operator"
 	case QueryTypeJoin:
-		if spec, ok := envelope.Spec.(QueryBuilderJoin); ok && spec.Name != "" {
-			return fmt.Sprintf("join '%s'", spec.Name)
-		}
-		return fmt.Sprintf("join at position %d", index+1)
+		typeLabel = "join"
 	case QueryTypePromQL:
-		if spec, ok := envelope.Spec.(PromQuery); ok && spec.Name != "" {
-			return fmt.Sprintf("PromQL query '%s'", spec.Name)
-		}
-		return fmt.Sprintf("PromQL query at position %d", index+1)
+		typeLabel = "PromQL query"
 	case QueryTypeClickHouseSQL:
-		if spec, ok := envelope.Spec.(ClickHouseQuery); ok && spec.Name != "" {
-			return fmt.Sprintf("ClickHouse query '%s'", spec.Name)
-		}
-		return fmt.Sprintf("ClickHouse query at position %d", index+1)
+		typeLabel = "ClickHouse query"
+	default:
+		typeLabel = "query"
 	}
-	return fmt.Sprintf("query at position %d", index+1)
+
+	if name != "" {
+		return fmt.Sprintf("%s '%s'", typeLabel, name)
+	}
+	return fmt.Sprintf("%s at position %d", typeLabel, index+1)
 }
 
 const (
@@ -72,11 +96,12 @@ func (q *QueryBuilderQuery[T]) Validate(requestType RequestType) error {
 		return err
 	}
 
-	// Validate aggregations only for non-raw request types
-	if requestType != RequestTypeRaw && requestType != RequestTypeRawStream && requestType != RequestTypeTrace {
-		if err := q.validateAggregations(); err != nil {
-			return err
-		}
+	if err := q.validateAggregations(requestType); err != nil {
+		return err
+	}
+
+	if err := q.validateGroupBy(requestType); err != nil {
+		return err
 	}
 
 	// Validate limit and pagination
@@ -94,32 +119,23 @@ func (q *QueryBuilderQuery[T]) Validate(requestType RequestType) error {
 		return err
 	}
 
-	if requestType != RequestTypeRaw && requestType != RequestTypeTrace && len(q.Aggregations) > 0 {
-		if err := q.validateOrderByForAggregation(); err != nil {
-			return err
-		}
-	} else {
-		if err := q.validateOrderBy(); err != nil {
-			return err
-		}
+	if err := q.validateOrderBy(requestType); err != nil {
+		return err
 	}
 
-	if requestType != RequestTypeRaw && requestType != RequestTypeTrace {
-		if err := q.validateHaving(); err != nil {
-			return err
-		}
-	}
-
-	if requestType == RequestTypeRaw {
-		if err := q.validateSelectFields(); err != nil {
-			return err
-		}
+	if err := q.validateSelectFields(requestType); err != nil {
+		return err
 	}
 
 	return nil
 }
 
-func (q *QueryBuilderQuery[T]) validateSelectFields() error {
+func (q *QueryBuilderQuery[T]) validateSelectFields(requestType RequestType) error {
+	// selectFields don't apply to aggregation queries, skip validation
+	if requestType.IsAggregation() {
+		return nil
+	}
+
 	// isRoot and isEntryPoint are returned by the Metadata API, so if someone sends them, we have to reject the request.
 	for _, v := range q.SelectFields {
 		if v.Name == "isRoot" || v.Name == "isEntryPoint" {
@@ -132,6 +148,21 @@ func (q *QueryBuilderQuery[T]) validateSelectFields() error {
 	return nil
 }
 
+func (q *QueryBuilderQuery[T]) validateGroupBy(requestType RequestType) error {
+	// groupBy doesn't apply to non-aggregation queries, skip validation
+	if !requestType.IsAggregation() {
+		return nil
+	}
+	for idx, item := range q.GroupBy {
+		if item.TelemetryFieldKey.Name == "" {
+			return errors.NewInvalidInputf(
+				errors.CodeInvalidInput, "invalid empty key name for group by at index %d", idx,
+			)
+		}
+	}
+	return nil
+}
+
 func (q *QueryBuilderQuery[T]) validateSignal() error {
 	// Signal validation is handled during unmarshaling in req.go
 	// Valid signals are: metrics, traces, logs
@@ -152,7 +183,12 @@ func (q *QueryBuilderQuery[T]) validateSignal() error {
 	}
 }
 
-func (q *QueryBuilderQuery[T]) validateAggregations() error {
+func (q *QueryBuilderQuery[T]) validateAggregations(requestType RequestType) error {
+	// aggregations don't apply to non-aggregation queries, skip validation
+	if !requestType.IsAggregation() {
+		return nil
+	}
+
 	// At least one aggregation required for non-disabled queries
 	if len(q.Aggregations) == 0 && !q.Disabled {
 		return errors.NewInvalidInputf(
@@ -179,14 +215,6 @@ func (q *QueryBuilderQuery[T]) validateAggregations() error {
 					aggId,
 				)
 			}
-			// Validate metric-specific aggregations
-			if err := validateMetricAggregation(v); err != nil {
-				aggId := fmt.Sprintf("aggregation #%d", i+1)
-				if q.Name != "" {
-					aggId = fmt.Sprintf("aggregation #%d in query '%s'", i+1, q.Name)
-				}
-				return wrapValidationError(err, aggId, "invalid metric %s: %s")
-			}
 		case TraceAggregation:
 			if v.Expression == "" {
 				aggId := fmt.Sprintf("aggregation #%d", i+1)
@@ -301,7 +329,7 @@ func (q *QueryBuilderQuery[T]) validateSecondaryAggregations() error {
 	return nil
 }
 
-func (q *QueryBuilderQuery[T]) validateOrderBy() error {
+func (q *QueryBuilderQuery[T]) validateOrderBy(requestType RequestType) error {
 	for i, order := range q.Order {
 		// Direction validation is handled by the OrderDirection type
 		if order.Direction != OrderDirectionAsc && order.Direction != OrderDirectionDesc {
@@ -319,6 +347,12 @@ func (q *QueryBuilderQuery[T]) validateOrderBy() error {
 			)
 		}
 	}
+
+	// aggregation-specific order key validation only applies to aggregation queries
+	if requestType.IsAggregation() {
+		return q.validateOrderByForAggregation()
+	}
+
 	return nil
 }
 
@@ -328,10 +362,6 @@ func (q *QueryBuilderQuery[T]) validateOrderBy() error {
 // 2. Aggregation expressions or aliases
 // 3. Aggregation index (0, 1, 2, etc.)
 func (q *QueryBuilderQuery[T]) validateOrderByForAggregation() error {
-	// First validate basic order by constraints
-	if err := q.validateOrderBy(); err != nil {
-		return err
-	}
 
 	validOrderKeys := make(map[string]bool)
 
@@ -401,22 +431,6 @@ func (q *QueryBuilderQuery[T]) validateOrderByForAggregation() error {
 	return nil
 }
 
-func (q *QueryBuilderQuery[T]) validateHaving() error {
-	if q.Having == nil || q.Having.Expression == "" {
-		return nil
-	}
-
-	// ensure that having is only used with aggregations
-	if len(q.Aggregations) == 0 {
-		return errors.NewInvalidInputf(
-			errors.CodeInvalidInput,
-			"having clause can only be used with aggregation queries. Use `filter.expression` instead",
-		)
-	}
-
-	return nil
-}
-
 // ValidateQueryRangeRequest validates the entire query range request
 func (r *QueryRangeRequest) Validate() error {
 	// Validate time range
@@ -456,236 +470,20 @@ func (r *QueryRangeRequest) Validate() error {
 
 // validateAllQueriesNotDisabled validates that at least one query in the composite query is enabled
 func (r *QueryRangeRequest) validateAllQueriesNotDisabled() error {
-	allDisabled := true
 	for _, envelope := range r.CompositeQuery.Queries {
-		switch envelope.Type {
-		case QueryTypeBuilder, QueryTypeSubQuery:
-			switch spec := envelope.Spec.(type) {
-			case QueryBuilderQuery[TraceAggregation]:
-				if !spec.Disabled {
-					allDisabled = false
-				}
-			case QueryBuilderQuery[LogAggregation]:
-				if !spec.Disabled {
-					allDisabled = false
-				}
-			case QueryBuilderQuery[MetricAggregation]:
-				if !spec.Disabled {
-					allDisabled = false
-				}
-			}
-		case QueryTypeFormula:
-			if spec, ok := envelope.Spec.(QueryBuilderFormula); ok && !spec.Disabled {
-				allDisabled = false
-			}
-		case QueryTypeTraceOperator:
-			if spec, ok := envelope.Spec.(QueryBuilderTraceOperator); ok && !spec.Disabled {
-				allDisabled = false
-			}
-		case QueryTypeJoin:
-			if spec, ok := envelope.Spec.(QueryBuilderJoin); ok && !spec.Disabled {
-				allDisabled = false
-			}
-		case QueryTypePromQL:
-			if spec, ok := envelope.Spec.(PromQuery); ok && !spec.Disabled {
-				allDisabled = false
-			}
-		case QueryTypeClickHouseSQL:
-			if spec, ok := envelope.Spec.(ClickHouseQuery); ok && !spec.Disabled {
-				allDisabled = false
-			}
-		}
-
-		// Early exit if we find at least one enabled query
-		if !allDisabled {
-			break
+		if !envelope.isDisabled() {
+			return nil
 		}
 	}
 
-	if allDisabled {
-		return errors.NewInvalidInputf(
-			errors.CodeInvalidInput,
-			"all queries are disabled - at least one query must be enabled",
-		)
-	}
-
-	return nil
+	return errors.NewInvalidInputf(
+		errors.CodeInvalidInput,
+		"all queries are disabled - at least one query must be enabled",
+	)
 }
 
 func (r *QueryRangeRequest) validateCompositeQuery() error {
-	// Validate queries in composite query
-	if len(r.CompositeQuery.Queries) == 0 {
-		return errors.NewInvalidInputf(
-			errors.CodeInvalidInput,
-			"at least one query is required",
-		)
-	}
-
-	// Track query names for uniqueness (only for non-formula queries)
-	queryNames := make(map[string]bool)
-
-	// Validate each query based on its type
-	for i, envelope := range r.CompositeQuery.Queries {
-		switch envelope.Type {
-		case QueryTypeBuilder, QueryTypeSubQuery:
-			// Validate based on the concrete type
-			switch spec := envelope.Spec.(type) {
-			case QueryBuilderQuery[TraceAggregation]:
-				if err := spec.Validate(r.RequestType); err != nil {
-					queryId := getQueryIdentifier(envelope, i)
-					return wrapValidationError(err, queryId, "invalid %s: %s")
-				}
-				// Check name uniqueness for non-formula context
-				if spec.Name != "" {
-					if queryNames[spec.Name] {
-						return errors.NewInvalidInputf(
-							errors.CodeInvalidInput,
-							"duplicate query name '%s'",
-							spec.Name,
-						)
-					}
-					queryNames[spec.Name] = true
-				}
-			case QueryBuilderQuery[LogAggregation]:
-				if err := spec.Validate(r.RequestType); err != nil {
-					queryId := getQueryIdentifier(envelope, i)
-					return wrapValidationError(err, queryId, "invalid %s: %s")
-				}
-				// Check name uniqueness for non-formula context
-				if spec.Name != "" {
-					if queryNames[spec.Name] {
-						return errors.NewInvalidInputf(
-							errors.CodeInvalidInput,
-							"duplicate query name '%s'",
-							spec.Name,
-						)
-					}
-					queryNames[spec.Name] = true
-				}
-			case QueryBuilderQuery[MetricAggregation]:
-				if err := spec.Validate(r.RequestType); err != nil {
-					queryId := getQueryIdentifier(envelope, i)
-					return wrapValidationError(err, queryId, "invalid %s: %s")
-				}
-				// Check name uniqueness for non-formula context
-				if spec.Name != "" {
-					if queryNames[spec.Name] {
-						return errors.NewInvalidInputf(
-							errors.CodeInvalidInput,
-							"duplicate query name '%s'",
-							spec.Name,
-						)
-					}
-					queryNames[spec.Name] = true
-				}
-			default:
-				queryId := getQueryIdentifier(envelope, i)
-				return errors.NewInvalidInputf(
-					errors.CodeInvalidInput,
-					"unknown spec type for %s",
-					queryId,
-				)
-			}
-		case QueryTypeFormula:
-			// Formula validation is handled separately
-			spec, ok := envelope.Spec.(QueryBuilderFormula)
-			if !ok {
-				queryId := getQueryIdentifier(envelope, i)
-				return errors.NewInvalidInputf(
-					errors.CodeInvalidInput,
-					"invalid spec for %s",
-					queryId,
-				)
-			}
-			if spec.Expression == "" {
-				queryId := getQueryIdentifier(envelope, i)
-				return errors.NewInvalidInputf(
-					errors.CodeInvalidInput,
-					"expression is required for %s",
-					queryId,
-				)
-			}
-		case QueryTypeJoin:
-			// Join validation is handled separately
-			_, ok := envelope.Spec.(QueryBuilderJoin)
-			if !ok {
-				queryId := getQueryIdentifier(envelope, i)
-				return errors.NewInvalidInputf(
-					errors.CodeInvalidInput,
-					"invalid spec for %s",
-					queryId,
-				)
-			}
-		case QueryTypeTraceOperator:
-			spec, ok := envelope.Spec.(QueryBuilderTraceOperator)
-			if !ok {
-				queryId := getQueryIdentifier(envelope, i)
-				return errors.NewInvalidInputf(
-					errors.CodeInvalidInput,
-					"invalid spec for %s",
-					queryId,
-				)
-			}
-			if spec.Expression == "" {
-				queryId := getQueryIdentifier(envelope, i)
-				return errors.NewInvalidInputf(
-					errors.CodeInvalidInput,
-					"expression is required for %s",
-					queryId,
-				)
-			}
-		case QueryTypePromQL:
-			// PromQL validation is handled separately
-			spec, ok := envelope.Spec.(PromQuery)
-			if !ok {
-				queryId := getQueryIdentifier(envelope, i)
-				return errors.NewInvalidInputf(
-					errors.CodeInvalidInput,
-					"invalid spec for %s",
-					queryId,
-				)
-			}
-			if spec.Query == "" {
-				queryId := getQueryIdentifier(envelope, i)
-				return errors.NewInvalidInputf(
-					errors.CodeInvalidInput,
-					"query expression is required for %s",
-					queryId,
-				)
-			}
-		case QueryTypeClickHouseSQL:
-			// ClickHouse SQL validation is handled separately
-			spec, ok := envelope.Spec.(ClickHouseQuery)
-			if !ok {
-				queryId := getQueryIdentifier(envelope, i)
-				return errors.NewInvalidInputf(
-					errors.CodeInvalidInput,
-					"invalid spec for %s",
-					queryId,
-				)
-			}
-			if spec.Query == "" {
-				queryId := getQueryIdentifier(envelope, i)
-				return errors.NewInvalidInputf(
-					errors.CodeInvalidInput,
-					"query expression is required for %s",
-					queryId,
-				)
-			}
-		default:
-			queryId := getQueryIdentifier(envelope, i)
-			return errors.NewInvalidInputf(
-				errors.CodeInvalidInput,
-				"unknown query type '%s' for %s",
-				envelope.Type,
-				queryId,
-			).WithAdditional(
-				"Valid query types are: builder_query, builder_formula, builder_join, promql, clickhouse_sql, trace_operator",
-			)
-		}
-	}
-
-	return nil
+	return r.CompositeQuery.Validate(r.RequestType)
 }
 
 // Validate performs validation on CompositeQuery
@@ -697,12 +495,29 @@ func (c *CompositeQuery) Validate(requestType RequestType) error {
 		)
 	}
 
-	// Validate each query
+	// Track query names for uniqueness (only for builder queries)
+	queryNames := make(map[string]bool)
+
 	for i, envelope := range c.Queries {
 		if err := validateQueryEnvelope(envelope, requestType); err != nil {
 			queryId := getQueryIdentifier(envelope, i)
 			return wrapValidationError(err, queryId, "invalid %s: %s")
 		}
+
+		// Check name uniqueness for builder queries
+		if envelope.Type == QueryTypeBuilder || envelope.Type == QueryTypeSubQuery {
+			name := envelope.queryName()
+			if name != "" {
+				if queryNames[name] {
+					return errors.NewInvalidInputf(
+						errors.CodeInvalidInput,
+						"duplicate query name '%s'",
+						name,
+					)
+				}
+				queryNames[name] = true
+			}
+		}
 	}
 
 	return nil
@@ -803,85 +618,3 @@ func validateQueryEnvelope(envelope QueryEnvelope, requestType RequestType) erro
 		)
 	}
 }
-
-// validateMetricAggregation validates metric-specific aggregation parameters
-func validateMetricAggregation(agg MetricAggregation) error {
-	// we can't decide anything here without known temporality
-	if agg.Temporality == metrictypes.Unknown {
-		return nil
-	}
-
-	// Validate that rate/increase are only used with appropriate temporalities
-	if agg.TimeAggregation == metrictypes.TimeAggregationRate || agg.TimeAggregation == metrictypes.TimeAggregationIncrease {
-		// For gauge metrics (Unspecified temporality), rate/increase doesn't make sense
-		if agg.Temporality == metrictypes.Unspecified {
-			return errors.NewInvalidInputf(
-				errors.CodeInvalidInput,
-				"rate/increase aggregation cannot be used with gauge metrics (unspecified temporality)",
-			)
-		}
-	}
-
-	// Validate percentile aggregations are only used with histogram types
-	if agg.SpaceAggregation.IsPercentile() {
-		if agg.Type != metrictypes.HistogramType && agg.Type != metrictypes.ExpHistogramType && agg.Type != metrictypes.SummaryType {
-			return errors.NewInvalidInputf(
-				errors.CodeInvalidInput,
-				"percentile aggregation can only be used with histogram or summary metric types",
-			)
-		}
-	}
-
-	// Validate time aggregation values
-	validTimeAggregations := []metrictypes.TimeAggregation{
-		metrictypes.TimeAggregationUnspecified,
-		metrictypes.TimeAggregationLatest,
-		metrictypes.TimeAggregationSum,
-		metrictypes.TimeAggregationAvg,
-		metrictypes.TimeAggregationMin,
-		metrictypes.TimeAggregationMax,
-		metrictypes.TimeAggregationCount,
-		metrictypes.TimeAggregationCountDistinct,
-		metrictypes.TimeAggregationRate,
-		metrictypes.TimeAggregationIncrease,
-	}
-
-	validTimeAgg := slices.Contains(validTimeAggregations, agg.TimeAggregation)
-	if !validTimeAgg {
-		return errors.NewInvalidInputf(
-			errors.CodeInvalidInput,
-			"invalid time aggregation: %s",
-			agg.TimeAggregation.StringValue(),
-		).WithAdditional(
-			"Valid time aggregations: latest, sum, avg, min, max, count, count_distinct, rate, increase",
-		)
-	}
-
-	// Validate space aggregation values
-	validSpaceAggregations := []metrictypes.SpaceAggregation{
-		metrictypes.SpaceAggregationUnspecified,
-		metrictypes.SpaceAggregationSum,
-		metrictypes.SpaceAggregationAvg,
-		metrictypes.SpaceAggregationMin,
-		metrictypes.SpaceAggregationMax,
-		metrictypes.SpaceAggregationCount,
-		metrictypes.SpaceAggregationPercentile50,
-		metrictypes.SpaceAggregationPercentile75,
-		metrictypes.SpaceAggregationPercentile90,
-		metrictypes.SpaceAggregationPercentile95,
-		metrictypes.SpaceAggregationPercentile99,
-	}
-
-	validSpaceAgg := slices.Contains(validSpaceAggregations, agg.SpaceAggregation)
-	if !validSpaceAgg {
-		return errors.NewInvalidInputf(
-			errors.CodeInvalidInput,
-			"invalid space aggregation: %s",
-			agg.SpaceAggregation.StringValue(),
-		).WithAdditional(
-			"Valid space aggregations: sum, avg, min, max, count, p50, p75, p90, p95, p99",
-		)
-	}
-
-	return nil
-}

pkg/types/querybuildertypes/querybuildertypesv5/validation_test.go

@@ -333,6 +333,617 @@ func TestQueryRangeRequest_ValidateAllQueriesNotDisabled(t *testing.T) {
 	}
 }
 
+func TestQueryRangeRequest_ValidateCompositeQuery(t *testing.T) {
+	tests := []struct {
+		name    string
+		request QueryRangeRequest
+		wantErr bool
+		errMsg  string
+	}{
+		{
+			name: "empty composite query should return error",
+			request: QueryRangeRequest{
+				Start:       1640995200000,
+				End:         1640998800000,
+				RequestType: RequestTypeTimeSeries,
+				CompositeQuery: CompositeQuery{
+					Queries: []QueryEnvelope{},
+				},
+			},
+			wantErr: true,
+			errMsg:  "at least one query is required",
+		},
+		{
+			name: "duplicate builder query names should return error",
+			request: QueryRangeRequest{
+				Start:       1640995200000,
+				End:         1640998800000,
+				RequestType: RequestTypeTimeSeries,
+				CompositeQuery: CompositeQuery{
+					Queries: []QueryEnvelope{
+						{
+							Type: QueryTypeBuilder,
+							Spec: QueryBuilderQuery[LogAggregation]{
+								Name:     "A",
+								Disabled: true,
+								Signal:   telemetrytypes.SignalLogs,
+							},
+						},
+						{
+							Type: QueryTypeBuilder,
+							Spec: QueryBuilderQuery[TraceAggregation]{
+								Name:     "A",
+								Disabled: true,
+								Signal:   telemetrytypes.SignalTraces,
+							},
+						},
+					},
+				},
+			},
+			wantErr: true,
+			errMsg:  "duplicate query name 'A'",
+		},
+		{
+			name: "duplicate names across log and metric builder queries should return error",
+			request: QueryRangeRequest{
+				Start:       1640995200000,
+				End:         1640998800000,
+				RequestType: RequestTypeTimeSeries,
+				CompositeQuery: CompositeQuery{
+					Queries: []QueryEnvelope{
+						{
+							Type: QueryTypeBuilder,
+							Spec: QueryBuilderQuery[LogAggregation]{
+								Name:     "X",
+								Disabled: true,
+								Signal:   telemetrytypes.SignalLogs,
+							},
+						},
+						{
+							Type: QueryTypeBuilder,
+							Spec: QueryBuilderQuery[MetricAggregation]{
+								Name:     "X",
+								Disabled: true,
+								Signal:   telemetrytypes.SignalMetrics,
+							},
+						},
+					},
+				},
+			},
+			wantErr: true,
+			errMsg:  "duplicate query name 'X'",
+		},
+		{
+			name: "same name on formula and builder should not conflict",
+			request: QueryRangeRequest{
+				Start:       1640995200000,
+				End:         1640998800000,
+				RequestType: RequestTypeTimeSeries,
+				CompositeQuery: CompositeQuery{
+					Queries: []QueryEnvelope{
+						{
+							Type: QueryTypeBuilder,
+							Spec: QueryBuilderQuery[LogAggregation]{
+								Name:   "A",
+								Signal: telemetrytypes.SignalLogs,
+								Aggregations: []LogAggregation{
+									{Expression: "count()"},
+								},
+							},
+						},
+						{
+							Type: QueryTypeFormula,
+							Spec: QueryBuilderFormula{
+								Name:       "A",
+								Expression: "A + 1",
+							},
+						},
+					},
+				},
+			},
+			wantErr: false,
+		},
+		{
+			name: "formula with empty expression should return error",
+			request: QueryRangeRequest{
+				Start:       1640995200000,
+				End:         1640998800000,
+				RequestType: RequestTypeTimeSeries,
+				CompositeQuery: CompositeQuery{
+					Queries: []QueryEnvelope{
+						{
+							Type: QueryTypeFormula,
+							Spec: QueryBuilderFormula{
+								Name:       "F1",
+								Expression: "",
+							},
+						},
+					},
+				},
+			},
+			wantErr: true,
+			errMsg:  "expression is required",
+		},
+		{
+			name: "promql with empty query should return error",
+			request: QueryRangeRequest{
+				Start:       1640995200000,
+				End:         1640998800000,
+				RequestType: RequestTypeTimeSeries,
+				CompositeQuery: CompositeQuery{
+					Queries: []QueryEnvelope{
+						{
+							Type: QueryTypePromQL,
+							Spec: PromQuery{
+								Name:  "P1",
+								Query: "",
+							},
+						},
+					},
+				},
+			},
+			wantErr: true,
+			errMsg:  "PromQL query is required",
+		},
+		{
+			name: "clickhouse with empty query should return error",
+			request: QueryRangeRequest{
+				Start:       1640995200000,
+				End:         1640998800000,
+				RequestType: RequestTypeTimeSeries,
+				CompositeQuery: CompositeQuery{
+					Queries: []QueryEnvelope{
+						{
+							Type: QueryTypeClickHouseSQL,
+							Spec: ClickHouseQuery{
+								Name:  "CH1",
+								Query: "",
+							},
+						},
+					},
+				},
+			},
+			wantErr: true,
+			errMsg:  "ClickHouse SQL query is required",
+		},
+		{
+			name: "trace operator with empty expression should return error",
+			request: QueryRangeRequest{
+				Start:       1640995200000,
+				End:         1640998800000,
+				RequestType: RequestTypeTimeSeries,
+				CompositeQuery: CompositeQuery{
+					Queries: []QueryEnvelope{
+						{
+							Type: QueryTypeTraceOperator,
+							Spec: QueryBuilderTraceOperator{
+								Name:       "TO1",
+								Expression: "",
+							},
+						},
+					},
+				},
+			},
+			wantErr: true,
+			errMsg:  "expression is required",
+		},
+		{
+			name: "valid promql query should pass",
+			request: QueryRangeRequest{
+				Start:       1640995200000,
+				End:         1640998800000,
+				RequestType: RequestTypeTimeSeries,
+				CompositeQuery: CompositeQuery{
+					Queries: []QueryEnvelope{
+						{
+							Type: QueryTypePromQL,
+							Spec: PromQuery{
+								Name:  "P1",
+								Query: "up",
+							},
+						},
+					},
+				},
+			},
+			wantErr: false,
+		},
+		{
+			name: "valid clickhouse query should pass",
+			request: QueryRangeRequest{
+				Start:       1640995200000,
+				End:         1640998800000,
+				RequestType: RequestTypeTimeSeries,
+				CompositeQuery: CompositeQuery{
+					Queries: []QueryEnvelope{
+						{
+							Type: QueryTypeClickHouseSQL,
+							Spec: ClickHouseQuery{
+								Name:  "CH1",
+								Query: "SELECT count() FROM logs",
+							},
+						},
+					},
+				},
+			},
+			wantErr: false,
+		},
+		{
+			name: "valid mixed queries with unique builder names should pass",
+			request: QueryRangeRequest{
+				Start:       1640995200000,
+				End:         1640998800000,
+				RequestType: RequestTypeTimeSeries,
+				CompositeQuery: CompositeQuery{
+					Queries: []QueryEnvelope{
+						{
+							Type: QueryTypeBuilder,
+							Spec: QueryBuilderQuery[LogAggregation]{
+								Name:   "A",
+								Signal: telemetrytypes.SignalLogs,
+								Aggregations: []LogAggregation{
+									{Expression: "count()"},
+								},
+							},
+						},
+						{
+							Type: QueryTypeBuilder,
+							Spec: QueryBuilderQuery[TraceAggregation]{
+								Name:   "B",
+								Signal: telemetrytypes.SignalTraces,
+								Aggregations: []TraceAggregation{
+									{Expression: "count()"},
+								},
+							},
+						},
+						{
+							Type: QueryTypePromQL,
+							Spec: PromQuery{
+								Name:  "C",
+								Query: "up",
+							},
+						},
+					},
+				},
+			},
+			wantErr: false,
+		},
+	}
+
+	for _, tt := range tests {
+		t.Run(tt.name, func(t *testing.T) {
+			err := tt.request.Validate()
+			if tt.wantErr {
+				if err == nil {
+					t.Errorf("Validate() expected error but got none")
+					return
+				}
+				if tt.errMsg != "" && !contains(err.Error(), tt.errMsg) {
+					t.Errorf("Validate() error = %v, want to contain %v", err.Error(), tt.errMsg)
+				}
+			} else {
+				if err != nil {
+					t.Errorf("Validate() unexpected error = %v", err)
+				}
+			}
+		})
+	}
+}
+
+func TestValidateQueryEnvelope(t *testing.T) {
+	tests := []struct {
+		name        string
+		envelope    QueryEnvelope
+		requestType RequestType
+		wantErr     bool
+		errMsg      string
+	}{
+		{
+			name: "valid builder query with trace aggregation",
+			envelope: QueryEnvelope{
+				Type: QueryTypeBuilder,
+				Spec: QueryBuilderQuery[TraceAggregation]{
+					Name:   "A",
+					Signal: telemetrytypes.SignalTraces,
+					Aggregations: []TraceAggregation{
+						{Expression: "count()"},
+					},
+				},
+			},
+			requestType: RequestTypeTimeSeries,
+			wantErr:     false,
+		},
+		{
+			name: "valid formula with expression",
+			envelope: QueryEnvelope{
+				Type: QueryTypeFormula,
+				Spec: QueryBuilderFormula{
+					Name:       "F1",
+					Expression: "A + B",
+				},
+			},
+			requestType: RequestTypeTimeSeries,
+			wantErr:     false,
+		},
+		{
+			name: "formula with empty expression should fail",
+			envelope: QueryEnvelope{
+				Type: QueryTypeFormula,
+				Spec: QueryBuilderFormula{
+					Name:       "F1",
+					Expression: "",
+				},
+			},
+			requestType: RequestTypeTimeSeries,
+			wantErr:     true,
+			errMsg:      "expression is required",
+		},
+		{
+			name: "valid join spec",
+			envelope: QueryEnvelope{
+				Type: QueryTypeJoin,
+				Spec: QueryBuilderJoin{
+					Name: "J1",
+				},
+			},
+			requestType: RequestTypeTimeSeries,
+			wantErr:     false,
+		},
+		{
+			name: "valid trace operator",
+			envelope: QueryEnvelope{
+				Type: QueryTypeTraceOperator,
+				Spec: QueryBuilderTraceOperator{
+					Name:       "TO1",
+					Expression: "count()",
+				},
+			},
+			requestType: RequestTypeTimeSeries,
+			wantErr:     false,
+		},
+		{
+			name: "trace operator with empty expression should fail",
+			envelope: QueryEnvelope{
+				Type: QueryTypeTraceOperator,
+				Spec: QueryBuilderTraceOperator{
+					Name:       "TO1",
+					Expression: "",
+				},
+			},
+			requestType: RequestTypeTimeSeries,
+			wantErr:     true,
+			errMsg:      "expression is required",
+		},
+		{
+			name: "promql with empty query should fail",
+			envelope: QueryEnvelope{
+				Type: QueryTypePromQL,
+				Spec: PromQuery{
+					Name:  "P1",
+					Query: "",
+				},
+			},
+			requestType: RequestTypeTimeSeries,
+			wantErr:     true,
+			errMsg:      "PromQL query is required",
+		},
+		{
+			name: "clickhouse with empty query should fail",
+			envelope: QueryEnvelope{
+				Type: QueryTypeClickHouseSQL,
+				Spec: ClickHouseQuery{
+					Name:  "CH1",
+					Query: "",
+				},
+			},
+			requestType: RequestTypeTimeSeries,
+			wantErr:     true,
+			errMsg:      "ClickHouse SQL query is required",
+		},
+	}
+
+	for _, tt := range tests {
+		t.Run(tt.name, func(t *testing.T) {
+			err := validateQueryEnvelope(tt.envelope, tt.requestType)
+			if tt.wantErr {
+				if err == nil {
+					t.Errorf("validateQueryEnvelope() expected error but got none")
+					return
+				}
+				if tt.errMsg != "" && !contains(err.Error(), tt.errMsg) {
+					t.Errorf("validateQueryEnvelope() error = %v, want to contain %v", err.Error(), tt.errMsg)
+				}
+			} else {
+				if err != nil {
+					t.Errorf("validateQueryEnvelope() unexpected error = %v", err)
+				}
+			}
+		})
+	}
+}
+
+func TestQueryEnvelope_Helpers(t *testing.T) {
+	t.Run("queryName", func(t *testing.T) {
+		tests := []struct {
+			name     string
+			envelope QueryEnvelope
+			want     string
+		}{
+			{
+				name:     "trace builder query",
+				envelope: QueryEnvelope{Type: QueryTypeBuilder, Spec: QueryBuilderQuery[TraceAggregation]{Name: "A"}},
+				want:     "A",
+			},
+			{
+				name:     "log builder query",
+				envelope: QueryEnvelope{Type: QueryTypeBuilder, Spec: QueryBuilderQuery[LogAggregation]{Name: "B"}},
+				want:     "B",
+			},
+			{
+				name:     "metric builder query",
+				envelope: QueryEnvelope{Type: QueryTypeBuilder, Spec: QueryBuilderQuery[MetricAggregation]{Name: "C"}},
+				want:     "C",
+			},
+			{
+				name:     "formula",
+				envelope: QueryEnvelope{Type: QueryTypeFormula, Spec: QueryBuilderFormula{Name: "F1"}},
+				want:     "F1",
+			},
+			{
+				name:     "promql",
+				envelope: QueryEnvelope{Type: QueryTypePromQL, Spec: PromQuery{Name: "P1"}},
+				want:     "P1",
+			},
+			{
+				name:     "clickhouse",
+				envelope: QueryEnvelope{Type: QueryTypeClickHouseSQL, Spec: ClickHouseQuery{Name: "CH1"}},
+				want:     "CH1",
+			},
+			{
+				name:     "trace operator",
+				envelope: QueryEnvelope{Type: QueryTypeTraceOperator, Spec: QueryBuilderTraceOperator{Name: "TO1"}},
+				want:     "TO1",
+			},
+			{
+				name:     "join",
+				envelope: QueryEnvelope{Type: QueryTypeJoin, Spec: QueryBuilderJoin{Name: "J1"}},
+				want:     "J1",
+			},
+			{
+				name:     "empty name",
+				envelope: QueryEnvelope{Type: QueryTypeBuilder, Spec: QueryBuilderQuery[LogAggregation]{}},
+				want:     "",
+			},
+		}
+		for _, tt := range tests {
+			t.Run(tt.name, func(t *testing.T) {
+				got := tt.envelope.queryName()
+				if got != tt.want {
+					t.Errorf("queryName() = %q, want %q", got, tt.want)
+				}
+			})
+		}
+	})
+
+	t.Run("isDisabled", func(t *testing.T) {
+		tests := []struct {
+			name     string
+			envelope QueryEnvelope
+			want     bool
+		}{
+			{
+				name:     "enabled builder query",
+				envelope: QueryEnvelope{Type: QueryTypeBuilder, Spec: QueryBuilderQuery[LogAggregation]{Disabled: false}},
+				want:     false,
+			},
+			{
+				name:     "disabled builder query",
+				envelope: QueryEnvelope{Type: QueryTypeBuilder, Spec: QueryBuilderQuery[LogAggregation]{Disabled: true}},
+				want:     true,
+			},
+			{
+				name:     "disabled formula",
+				envelope: QueryEnvelope{Type: QueryTypeFormula, Spec: QueryBuilderFormula{Disabled: true}},
+				want:     true,
+			},
+			{
+				name:     "enabled promql",
+				envelope: QueryEnvelope{Type: QueryTypePromQL, Spec: PromQuery{Disabled: false}},
+				want:     false,
+			},
+			{
+				name:     "disabled clickhouse",
+				envelope: QueryEnvelope{Type: QueryTypeClickHouseSQL, Spec: ClickHouseQuery{Disabled: true}},
+				want:     true,
+			},
+			{
+				name:     "disabled trace operator",
+				envelope: QueryEnvelope{Type: QueryTypeTraceOperator, Spec: QueryBuilderTraceOperator{Disabled: true}},
+				want:     true,
+			},
+			{
+				name:     "disabled join",
+				envelope: QueryEnvelope{Type: QueryTypeJoin, Spec: QueryBuilderJoin{Disabled: true}},
+				want:     true,
+			},
+		}
+		for _, tt := range tests {
+			t.Run(tt.name, func(t *testing.T) {
+				got := tt.envelope.isDisabled()
+				if got != tt.want {
+					t.Errorf("isDisabled() = %v, want %v", got, tt.want)
+				}
+			})
+		}
+	})
+}
+
+func TestGetQueryIdentifier(t *testing.T) {
+	tests := []struct {
+		name     string
+		envelope QueryEnvelope
+		index    int
+		want     string
+	}{
+		{
+			name:     "builder query with name",
+			envelope: QueryEnvelope{Type: QueryTypeBuilder, Spec: QueryBuilderQuery[LogAggregation]{Name: "A"}},
+			index:    0,
+			want:     "query 'A'",
+		},
+		{
+			name:     "builder query without name",
+			envelope: QueryEnvelope{Type: QueryTypeBuilder, Spec: QueryBuilderQuery[LogAggregation]{}},
+			index:    2,
+			want:     "query at position 3",
+		},
+		{
+			name:     "formula with name",
+			envelope: QueryEnvelope{Type: QueryTypeFormula, Spec: QueryBuilderFormula{Name: "F1"}},
+			index:    0,
+			want:     "formula 'F1'",
+		},
+		{
+			name:     "formula without name",
+			envelope: QueryEnvelope{Type: QueryTypeFormula, Spec: QueryBuilderFormula{}},
+			index:    1,
+			want:     "formula at position 2",
+		},
+		{
+			name:     "promql with name",
+			envelope: QueryEnvelope{Type: QueryTypePromQL, Spec: PromQuery{Name: "P1"}},
+			index:    0,
+			want:     "PromQL query 'P1'",
+		},
+		{
+			name:     "clickhouse with name",
+			envelope: QueryEnvelope{Type: QueryTypeClickHouseSQL, Spec: ClickHouseQuery{Name: "CH1"}},
+			index:    0,
+			want:     "ClickHouse query 'CH1'",
+		},
+		{
+			name:     "trace operator with name",
+			envelope: QueryEnvelope{Type: QueryTypeTraceOperator, Spec: QueryBuilderTraceOperator{Name: "TO1"}},
+			index:    0,
+			want:     "trace operator 'TO1'",
+		},
+		{
+			name:     "join without name",
+			envelope: QueryEnvelope{Type: QueryTypeJoin, Spec: QueryBuilderJoin{}},
+			index:    0,
+			want:     "join at position 1",
+		},
+	}
+
+	for _, tt := range tests {
+		t.Run(tt.name, func(t *testing.T) {
+			got := getQueryIdentifier(tt.envelope, tt.index)
+			if got != tt.want {
+				t.Errorf("getQueryIdentifier() = %q, want %q", got, tt.want)
+			}
+		})
+	}
+}
+
 func TestQueryRangeRequest_ValidateOrderByForAggregation(t *testing.T) {
 	tests := []struct {
 		name    string
@@ -512,4 +1123,139 @@ func TestQueryRangeRequest_ValidateOrderByForAggregation(t *testing.T) {
 			}
 		})
 	}
-}
+}
+
+func TestRequestType_IsAggregation(t *testing.T) {
+	tests := []struct {
+		name        string
+		requestType RequestType
+		want        bool
+	}{
+		{"time_series is aggregation", RequestTypeTimeSeries, true},
+		{"scalar is aggregation", RequestTypeScalar, true},
+		{"distribution is aggregation", RequestTypeDistribution, true},
+		{"raw is not aggregation", RequestTypeRaw, false},
+		{"raw_stream is not aggregation", RequestTypeRawStream, false},
+		{"trace is not aggregation", RequestTypeTrace, false},
+		{"unknown is not aggregation", RequestTypeUnknown, false},
+	}
+
+	for _, tt := range tests {
+		t.Run(tt.name, func(t *testing.T) {
+			got := tt.requestType.IsAggregation()
+			if got != tt.want {
+				t.Errorf("IsAggregation() = %v, want %v", got, tt.want)
+			}
+		})
+	}
+}
+
+func TestNonAggregationFieldsSkipped(t *testing.T) {
+	// Fields that only apply to aggregation queries (groupBy, having, aggregations)
+	// should be silently skipped for non-aggregation request types.
+	t.Run("groupBy ignored for raw request type", func(t *testing.T) {
+		query := QueryBuilderQuery[LogAggregation]{
+			Name:   "A",
+			Signal: telemetrytypes.SignalLogs,
+			GroupBy: []GroupByKey{
+				{TelemetryFieldKey: telemetrytypes.TelemetryFieldKey{Name: "service.name"}},
+			},
+		}
+		err := query.Validate(RequestTypeRaw)
+		if err != nil {
+			t.Errorf("expected no error for groupBy with raw request type, got: %v", err)
+		}
+	})
+
+	t.Run("groupBy validated for timeseries request type", func(t *testing.T) {
+		query := QueryBuilderQuery[LogAggregation]{
+			Name:   "A",
+			Signal: telemetrytypes.SignalLogs,
+			Aggregations: []LogAggregation{
+				{Expression: "count()"},
+			},
+			GroupBy: []GroupByKey{
+				{TelemetryFieldKey: telemetrytypes.TelemetryFieldKey{Name: ""}},
+			},
+		}
+		err := query.Validate(RequestTypeTimeSeries)
+		if err == nil {
+			t.Errorf("expected error for empty groupBy key with timeseries request type")
+		}
+	})
+
+	t.Run("having ignored for raw request type", func(t *testing.T) {
+		query := QueryBuilderQuery[LogAggregation]{
+			Name:   "A",
+			Signal: telemetrytypes.SignalLogs,
+			Having: &Having{Expression: "count() > 10"},
+		}
+		err := query.Validate(RequestTypeRaw)
+		if err != nil {
+			t.Errorf("expected no error for having with raw request type, got: %v", err)
+		}
+	})
+
+	t.Run("having ignored for trace request type", func(t *testing.T) {
+		query := QueryBuilderQuery[TraceAggregation]{
+			Name:   "A",
+			Signal: telemetrytypes.SignalTraces,
+			Having: &Having{Expression: "count() > 10"},
+		}
+		err := query.Validate(RequestTypeTrace)
+		if err != nil {
+			t.Errorf("expected no error for having with trace request type, got: %v", err)
+		}
+	})
+
+	t.Run("aggregations ignored for raw request type", func(t *testing.T) {
+		query := QueryBuilderQuery[LogAggregation]{
+			Name:   "A",
+			Signal: telemetrytypes.SignalLogs,
+			Aggregations: []LogAggregation{
+				{Expression: "count()"},
+			},
+		}
+		err := query.Validate(RequestTypeRaw)
+		if err != nil {
+			t.Errorf("expected no error for aggregations with raw request type, got: %v", err)
+		}
+	})
+
+	t.Run("aggregations ignored for raw_stream request type", func(t *testing.T) {
+		query := QueryBuilderQuery[LogAggregation]{
+			Name:   "A",
+			Signal: telemetrytypes.SignalLogs,
+			Aggregations: []LogAggregation{
+				{Expression: "count()"},
+			},
+		}
+		err := query.Validate(RequestTypeRawStream)
+		if err != nil {
+			t.Errorf("expected no error for aggregations with raw_stream request type, got: %v", err)
+		}
+	})
+
+	t.Run("selectFields validated for raw but not timeseries", func(t *testing.T) {
+		query := QueryBuilderQuery[TraceAggregation]{
+			Name:   "A",
+			Signal: telemetrytypes.SignalTraces,
+			Aggregations: []TraceAggregation{
+				{Expression: "count()"},
+			},
+			SelectFields: []telemetrytypes.TelemetryFieldKey{
+				{Name: "isRoot"},
+			},
+		}
+		// Should error for raw (selectFields are validated)
+		err := query.Validate(RequestTypeRaw)
+		if err == nil {
+			t.Errorf("expected error for isRoot in selectFields with raw request type")
+		}
+		// Should pass for timeseries (selectFields skipped)
+		err = query.Validate(RequestTypeTimeSeries)
+		if err != nil {
+			t.Errorf("expected no error for isRoot in selectFields with timeseries request type, got: %v", err)
+		}
+	})
+}

pkg/types/telemetrytypes/field.go

@@ -78,18 +78,18 @@ func (f *TelemetryFieldKey) ArrayParentSelectors() []*FieldKeySelector {
 
 func (f TelemetryFieldKey) String() string {
 	var sb strings.Builder
-	sb.WriteString(fmt.Sprintf("name=%s", f.Name))
+	fmt.Fprintf(&sb, "name=%s", f.Name)
 	if f.FieldContext != FieldContextUnspecified {
-		sb.WriteString(fmt.Sprintf(",context=%s", f.FieldContext.String))
+		fmt.Fprintf(&sb, ",context=%s", f.FieldContext.String)
 	}
 	if f.FieldDataType != FieldDataTypeUnspecified {
-		sb.WriteString(fmt.Sprintf(",datatype=%s", f.FieldDataType.StringValue()))
+		fmt.Fprintf(&sb, ",datatype=%s", f.FieldDataType.StringValue())
 	}
 	if f.Materialized {
 		sb.WriteString(",materialized=true")
 	}
 	if f.JSONDataType != nil {
-		sb.WriteString(fmt.Sprintf(",jsondatatype=%s", f.JSONDataType.StringValue()))
+		fmt.Fprintf(&sb, ",jsondatatype=%s", f.JSONDataType.StringValue())
 	}
 	if len(f.Indexes) > 0 {
 		sb.WriteString(",indexes=[")
@@ -97,7 +97,7 @@ func (f TelemetryFieldKey) String() string {
 			if i > 0 {
 				sb.WriteString("; ")
 			}
-			sb.WriteString(fmt.Sprintf("{type=%s, columnExpr=%s, indexExpr=%s}", index.Type.StringValue(), index.ColumnExpression, index.IndexExpression))
+			fmt.Fprintf(&sb, "{type=%s, columnExpr=%s, indexExpr=%s}", index.Type.StringValue(), index.ColumnExpression, index.IndexExpression)
 		}
 		sb.WriteString("]")
 	}
@@ -108,6 +108,17 @@ func (f TelemetryFieldKey) Text() string {
 	return TelemetryFieldKeyToText(&f)
 }
 
+// OverrideMetadataFrom copies the resolved metadata fields from src into f.
+// This is used when adjusting user-provided keys to match known field definitions.
+func (f *TelemetryFieldKey) OverrideMetadataFrom(src *TelemetryFieldKey) {
+	f.FieldContext = src.FieldContext
+	f.FieldDataType = src.FieldDataType
+	f.JSONDataType = src.JSONDataType
+	f.Indexes = src.Indexes
+	f.Materialized = src.Materialized
+	f.JSONPlan = src.JSONPlan
+}
+
 func (f *TelemetryFieldKey) Equal(key *TelemetryFieldKey) bool {
 	return f.Name == key.Name &&
 		f.FieldContext == key.FieldContext &&
@@ -225,11 +236,19 @@ func TelemetryFieldKeyToText(key *TelemetryFieldKey) string {
 }
 
 func FieldKeyToMaterializedColumnName(key *TelemetryFieldKey) string {
-	return fmt.Sprintf("`%s_%s_%s`", key.FieldContext.String, fieldDataTypes[key.FieldDataType.StringValue()].StringValue(), strings.ReplaceAll(key.Name, ".", "$$"))
+	return fmt.Sprintf("`%s_%s_%s`",
+		key.FieldContext.String,
+		fieldDataTypes[key.FieldDataType.StringValue()].StringValue(),
+		strings.ReplaceAll(key.Name, ".", "$$"),
+	)
 }
 
 func FieldKeyToMaterializedColumnNameForExists(key *TelemetryFieldKey) string {
-	return fmt.Sprintf("`%s_%s_%s_exists`", key.FieldContext.String, fieldDataTypes[key.FieldDataType.StringValue()].StringValue(), strings.ReplaceAll(key.Name, ".", "$$"))
+	return fmt.Sprintf("`%s_%s_%s_exists`",
+		key.FieldContext.String,
+		fieldDataTypes[key.FieldDataType.StringValue()].StringValue(),
+		strings.ReplaceAll(key.Name, ".", "$$"),
+	)
 }
 
 type TelemetryFieldValues struct {

tests/integration/src/alerts/02_basic_alert_conditions.py

@@ -14,10 +14,10 @@ from fixtures.alertutils import (
 from fixtures.logger import setup_logger
 from fixtures.utils import get_testdata_file_path
 
-# test cases for match type and compare operators have wait time of 30 seconds to verify the alert expectation.
-# we've poistioned the alert data to fire the alert on first eval of rule manager, the eval frequency
-# for most alert rules are set of 15s so considering this delay plus some delay from alert manager's
-# group_wait and group_interval, even in worst case most alerts should be triggered in about 30 seconds
+# Alert test cases use a 30-second wait time to verify expected alert firing.
+# Alert data is set up to trigger on the first rule manager evaluation.
+# With a 15-second eval frequency for most rules, plus alertmanager's
+# group_wait and group_interval delays, alerts should fire well within 30 seconds.
 TEST_RULES_MATCH_TYPE_AND_COMPARE_OPERATORS = [
     types.AlertTestCase(
         name="test_threshold_above_at_least_once",
@@ -25,6 +25,7 @@ TEST_RULES_MATCH_TYPE_AND_COMPARE_OPERATORS = [
         alert_data=[
             types.AlertData(
                 type="metrics",
+                # active requests dummy data
                 data_path="alerts/test_scenarios/threshold_above_at_least_once/alert_data.jsonl",
             ),
         ],
@@ -115,30 +116,28 @@ TEST_RULES_MATCH_TYPE_AND_COMPARE_OPERATORS = [
             ],
         ),
     ),
-    # TODO: @abhishekhugetech enable the test for matchType last, pylint: disable=W0511
-    # after the [issue](https://github.com/SigNoz/engineering-pod/issues/3801) with matchType last is fixed
-    # types.AlertTestCase(
-    #     name="test_threshold_above_last",
-    #     rule_path="alerts/test_scenarios/threshold_above_last/rule.json",
-    #     alert_data=[
-    #         types.AlertData(
-    #             type="metrics",
-    #             data_path="alerts/test_scenarios/threshold_above_last/alert_data.jsonl",
-    #         ),
-    #     ],
-    #     alert_expectation=types.AlertExpectation(
-    #         should_alert=True,
-    #         wait_time_seconds=30,
-    #         expected_alerts=[
-    #             types.FiringAlert(
-    #                 labels={
-    #                     "alertname": "threshold_above_last",
-    #                     "threshold.name": "critical",
-    #                 }
-    #             ),
-    #         ],
-    #     ),
-    # ),
+    types.AlertTestCase(
+        name="test_threshold_above_last",
+        rule_path="alerts/test_scenarios/threshold_above_last/rule.json",
+        alert_data=[
+            types.AlertData(
+                type="metrics",
+                data_path="alerts/test_scenarios/threshold_above_last/alert_data.jsonl",
+            ),
+        ],
+        alert_expectation=types.AlertExpectation(
+            should_alert=True,
+            wait_time_seconds=30,
+            expected_alerts=[
+                types.FiringAlert(
+                    labels={
+                        "alertname": "threshold_above_last",
+                        "threshold.name": "critical",
+                    }
+                ),
+            ],
+        ),
+    ),
     types.AlertTestCase(
         name="test_threshold_below_at_least_once",
         rule_path="alerts/test_scenarios/threshold_below_at_least_once/rule.json",
@@ -189,6 +188,7 @@ TEST_RULES_MATCH_TYPE_AND_COMPARE_OPERATORS = [
         alert_data=[
             types.AlertData(
                 type="metrics",
+                # one rate ~5 + rest 0.01 so it remains in total below 10
                 data_path="alerts/test_scenarios/threshold_below_in_total/alert_data.jsonl",
             ),
         ],
@@ -227,30 +227,28 @@ TEST_RULES_MATCH_TYPE_AND_COMPARE_OPERATORS = [
             ],
         ),
     ),
-    # TODO: @abhishekhugetech enable the test for matchType last,
-    # after the [issue](https://github.com/SigNoz/engineering-pod/issues/3801) with matchType last is fixed, pylint: disable=W0511
-    # types.AlertTestCase(
-    #     name="test_threshold_below_last",
-    #     rule_path="alerts/test_scenarios/threshold_below_last/rule.json",
-    #     alert_data=[
-    #         types.AlertData(
-    #             type="metrics",
-    #             data_path="alerts/test_scenarios/threshold_below_last/alert_data.jsonl",
-    #         ),
-    #     ],
-    #     alert_expectation=types.AlertExpectation(
-    #         should_alert=True,
-    #         wait_time_seconds=30,
-    #         expected_alerts=[
-    #             types.FiringAlert(
-    #                 labels={
-    #                     "alertname": "threshold_below_last",
-    #                     "threshold.name": "critical",
-    #                 }
-    #             ),
-    #         ],
-    #     ),
-    # ),
+    types.AlertTestCase(
+        name="test_threshold_below_last",
+        rule_path="alerts/test_scenarios/threshold_below_last/rule.json",
+        alert_data=[
+            types.AlertData(
+                type="metrics",
+                data_path="alerts/test_scenarios/threshold_below_last/alert_data.jsonl",
+            ),
+        ],
+        alert_expectation=types.AlertExpectation(
+            should_alert=True,
+            wait_time_seconds=30,
+            expected_alerts=[
+                types.FiringAlert(
+                    labels={
+                        "alertname": "threshold_below_last",
+                        "threshold.name": "critical",
+                    }
+                ),
+            ],
+        ),
+    ),
     types.AlertTestCase(
         name="test_threshold_equal_to_at_least_once",
         rule_path="alerts/test_scenarios/threshold_equal_to_at_least_once/rule.json",
@@ -339,30 +337,28 @@ TEST_RULES_MATCH_TYPE_AND_COMPARE_OPERATORS = [
             ],
         ),
     ),
-    # TODO: @abhishekhugetech enable the test for matchType last,
-    # after the [issue](https://github.com/SigNoz/engineering-pod/issues/3801) with matchType last is fixed, pylint: disable=W0511
-    # types.AlertTestCase(
-    #     name="test_threshold_equal_to_last",
-    #     rule_path="alerts/test_scenarios/threshold_equal_to_last/rule.json",
-    #     alert_data=[
-    #         types.AlertData(
-    #             type="metrics",
-    #             data_path="alerts/test_scenarios/threshold_equal_to_last/alert_data.jsonl",
-    #         ),
-    #     ],
-    #     alert_expectation=types.AlertExpectation(
-    #         should_alert=True,
-    #         wait_time_seconds=30,
-    #         expected_alerts=[
-    #             types.FiringAlert(
-    #                 labels={
-    #                     "alertname": "threshold_equal_to_last",
-    #                     "threshold.name": "critical",
-    #                 }
-    #             ),
-    #         ],
-    #     ),
-    # ),
+    types.AlertTestCase(
+        name="test_threshold_equal_to_last",
+        rule_path="alerts/test_scenarios/threshold_equal_to_last/rule.json",
+        alert_data=[
+            types.AlertData(
+                type="metrics",
+                data_path="alerts/test_scenarios/threshold_equal_to_last/alert_data.jsonl",
+            ),
+        ],
+        alert_expectation=types.AlertExpectation(
+            should_alert=True,
+            wait_time_seconds=30,
+            expected_alerts=[
+                types.FiringAlert(
+                    labels={
+                        "alertname": "threshold_equal_to_last",
+                        "threshold.name": "critical",
+                    }
+                ),
+            ],
+        ),
+    ),
     types.AlertTestCase(
         name="test_threshold_not_equal_to_at_least_once",
         rule_path="alerts/test_scenarios/threshold_not_equal_to_at_least_once/rule.json",
@@ -451,30 +447,28 @@ TEST_RULES_MATCH_TYPE_AND_COMPARE_OPERATORS = [
             ],
         ),
     ),
-    # TODO: @abhishekhugetech enable the test for matchType last,
-    # after the [issue](https://github.com/SigNoz/engineering-pod/issues/3801) with matchType last is fixed, pylint: disable=W0511
-    # types.AlertTestCase(
-    #     name="test_threshold_not_equal_to_last",
-    #     rule_path="alerts/test_scenarios/threshold_not_equal_to_last/rule.json",
-    #     alert_data=[
-    #         types.AlertData(
-    #             type="metrics",
-    #             data_path="alerts/test_scenarios/threshold_not_equal_to_last/alert_data.jsonl",
-    #         ),
-    #     ],
-    #     alert_expectation=types.AlertExpectation(
-    #         should_alert=True,
-    #         wait_time_seconds=30,
-    #         expected_alerts=[
-    #             types.FiringAlert(
-    #                 labels={
-    #                     "alertname": "threshold_not_equal_to_last",
-    #                     "threshold.name": "critical",
-    #                 }
-    #             ),
-    #         ],
-    #     ),
-    # ),
+    types.AlertTestCase(
+        name="test_threshold_not_equal_to_last",
+        rule_path="alerts/test_scenarios/threshold_not_equal_to_last/rule.json",
+        alert_data=[
+            types.AlertData(
+                type="metrics",
+                data_path="alerts/test_scenarios/threshold_not_equal_to_last/alert_data.jsonl",
+            ),
+        ],
+        alert_expectation=types.AlertExpectation(
+            should_alert=True,
+            wait_time_seconds=30,
+            expected_alerts=[
+                types.FiringAlert(
+                    labels={
+                        "alertname": "threshold_not_equal_to_last",
+                        "threshold.name": "critical",
+                    }
+                ),
+            ],
+        ),
+    ),
 ]
 
 # test cases unit conversion

tests/integration/src/querier/05_metrics_rate_cumulative_counter.py

@@ -54,17 +54,17 @@ def test_rate_with_steady_values_and_reset(
 
     data = response.json()
     result_values = sorted(get_series_values(data, "A"), key=lambda x: x["timestamp"])
-    assert len(result_values) >= 59
+    assert len(result_values) >= 58
     # the counter reset happened at 31st minute
     assert (
-        result_values[30]["value"] == 0.0167
+        result_values[29]["value"] == 0.0167
     )  # i.e 2/120 i.e 29th to 31st minute changes
     assert (
-        result_values[31]["value"] == 0.133
+        result_values[30]["value"] == 0.133
     )  # i.e 10/60 i.e 31st to 32nd minute changes
     count_of_steady_rate = sum(1 for v in result_values if v["value"] == 0.0833)
     assert (
-        count_of_steady_rate >= 56
+        count_of_steady_rate >= 55
     )  # 59 - (1 reset + 1 high rate + 1 at the beginning)
     # All rates should be non-negative (stale periods = 0 rate)
     for v in result_values:

tests/integration/src/querier/07_metrics_multi_temporality.py

@@ -72,16 +72,17 @@ def test_with_steady_values_and_reset(
 
     data = response.json()
     result_values = sorted(get_series_values(data, "A"), key=lambda x: x["timestamp"])
-    assert len(result_values) >= 59
+    assert len(result_values) >= 58
     # the counter reset happened at 31st minute
-    assert result_values[30]["value"] == expected_value_at_31st_minute
-    assert result_values[31]["value"] == expected_value_at_32nd_minute
+    # we skip the rate value for the first data point without previous value
+    assert result_values[29]["value"] == expected_value_at_31st_minute
+    assert result_values[30]["value"] == expected_value_at_32nd_minute
     assert (
-        result_values[39]["value"] == steady_value
-    )  # 39th minute is when cumulative shifts to delta
+        result_values[38]["value"] == steady_value
+    )  # 38th minute is when cumulative shifts to delta
     count_of_steady_rate = sum(1 for v in result_values if v["value"] == steady_value)
     assert (
-        count_of_steady_rate >= 56
+        count_of_steady_rate >= 55
     )  # 59 - (1 reset + 1 high rate + 1 at the beginning)
     # All rates should be non-negative (stale periods = 0 rate)
     for v in result_values:
@@ -316,12 +317,12 @@ def test_for_service_with_switch(
 
     data = response.json()
     result_values = sorted(get_series_values(data, "A"), key=lambda x: x["timestamp"])
-    assert len(result_values) >= 60
-    assert result_values[30]["value"] == expected_value_at_30th_minute  # 0.183
-    assert result_values[31]["value"] == expected_value_at_31st_minute  # 0.183
-    assert result_values[38]["value"] == value_at_switch  # 0.25
+    assert len(result_values) >= 59
+    assert result_values[29]["value"] == expected_value_at_30th_minute  # 0.183
+    assert result_values[30]["value"] == expected_value_at_31st_minute  # 0.183
+    assert result_values[37]["value"] == value_at_switch  # 0.25
     assert (
-        result_values[39]["value"] == value_at_switch  # 0.25
+        result_values[38]["value"] == value_at_switch  # 0.25
     )  # 39th minute is when cumulative shifts to delta
     # All rates should be non-negative (stale periods = 0 rate)
     for v in result_values:

tests/integration/testdata/alerts/test_scenarios/threshold_above_at_least_once/alert_data.jsonl

@@ -1,12 +1,12 @@
-{"metric_name":"request_total_threshold_above_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:01:00+00:00","value":1,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
-{"metric_name":"request_total_threshold_above_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:02:00+00:00","value":2,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
-{"metric_name":"request_total_threshold_above_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:03:00+00:00","value":3,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
-{"metric_name":"request_total_threshold_above_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:04:00+00:00","value":4,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
-{"metric_name":"request_total_threshold_above_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:05:00+00:00","value":19,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
-{"metric_name":"request_total_threshold_above_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:06:00+00:00","value":20,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
-{"metric_name":"request_total_threshold_above_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:07:00+00:00","value":35,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
-{"metric_name":"request_total_threshold_above_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:08:00+00:00","value":36,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
-{"metric_name":"request_total_threshold_above_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:09:00+00:00","value":37,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
-{"metric_name":"request_total_threshold_above_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:10:00+00:00","value":38,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
-{"metric_name":"request_total_threshold_above_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:11:00+00:00","value":39,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
-{"metric_name":"request_total_threshold_above_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:12:00+00:00","value":40,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
+{"metric_name":"request_total_threshold_above_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:01:00+00:00","value":1,"temporality":"Cumulative","type_":"Sum","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
+{"metric_name":"request_total_threshold_above_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:02:00+00:00","value":2,"temporality":"Cumulative","type_":"Sum","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
+{"metric_name":"request_total_threshold_above_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:03:00+00:00","value":4,"temporality":"Cumulative","type_":"Sum","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
+{"metric_name":"request_total_threshold_above_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:04:00+00:00","value":4,"temporality":"Cumulative","type_":"Sum","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
+{"metric_name":"request_total_threshold_above_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:05:00+00:00","value":15,"temporality":"Cumulative","type_":"Sum","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
+{"metric_name":"request_total_threshold_above_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:06:00+00:00","value":10,"temporality":"Cumulative","type_":"Sum","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
+{"metric_name":"request_total_threshold_above_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:07:00+00:00","value":36,"temporality":"Cumulative","type_":"Sum","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
+{"metric_name":"request_total_threshold_above_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:08:00+00:00","value":25,"temporality":"Cumulative","type_":"Sum","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
+{"metric_name":"request_total_threshold_above_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:09:00+00:00","value":37,"temporality":"Cumulative","type_":"Sum","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
+{"metric_name":"request_total_threshold_above_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:10:00+00:00","value":35,"temporality":"Cumulative","type_":"Sum","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
+{"metric_name":"request_total_threshold_above_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:11:00+00:00","value":39,"temporality":"Cumulative","type_":"Sum","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
+{"metric_name":"request_total_threshold_above_at_least_once","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2026-01-29T10:12:00+00:00","value":25,"temporality":"Cumulative","type_":"Sum","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}

tests/integration/testdata/alerts/test_scenarios/threshold_above_at_least_once/rule.json

@@ -25,7 +25,7 @@
           "type": "clickhouse_sql",
           "spec": {
             "name": "A",
-            "query": "WITH __temporal_aggregation_cte AS (\n SELECT \n fingerprint, \n toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(60)) AS ts, \n avg(value) AS per_series_value \n FROM signoz_metrics.distributed_samples_v4 AS points \n INNER JOIN (\n SELECT fingerprint \n FROM signoz_metrics.time_series_v4 \n WHERE metric_name IN ('request_total_threshold_above_at_least_once') \n AND LOWER(temporality) LIKE LOWER('cumulative') \n AND __normalized = false \n GROUP BY fingerprint\n ) AS filtered_time_series ON points.fingerprint = filtered_time_series.fingerprint \n WHERE metric_name IN ('request_total_threshold_above_at_least_once') \n AND unix_milli >= {{.start_timestamp_ms}} \n AND unix_milli < {{.end_timestamp_ms}} \n GROUP BY fingerprint, ts \n ORDER BY fingerprint, ts\n), \n__spatial_aggregation_cte AS (\n SELECT \n ts, \n avg(per_series_value) AS value \n FROM __temporal_aggregation_cte \n WHERE isNaN(per_series_value) = 0 \n GROUP BY ts\n) \nSELECT * FROM __spatial_aggregation_cte \nORDER BY ts"
+            "query": "WITH __temporal_aggregation_cte AS (\n SELECT \n fingerprint, \n toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(60)) AS ts, \n avg(value) AS per_series_value \n FROM signoz_metrics.distributed_samples_v4 AS points \n INNER JOIN (\n SELECT fingerprint \n FROM signoz_metrics.time_series_v4 \n WHERE metric_name IN ('request_total_threshold_above_at_least_once') \n AND LOWER(temporality) LIKE LOWER('cumulative') \n AND __normalized = false \n GROUP BY fingerprint\n ) AS filtered_time_series ON points.fingerprint = filtered_time_series.fingerprint \n WHERE metric_name IN ('request_total_threshold_above_at_least_once') \n AND unix_milli >= $start_timestamp_ms \n AND unix_milli < $end_timestamp_ms \n GROUP BY fingerprint, ts \n ORDER BY fingerprint, ts\n), \n__spatial_aggregation_cte AS (\n SELECT \n ts, \n sum(per_series_value) AS value \n FROM __temporal_aggregation_cte \n WHERE isNaN(per_series_value) = 0 \n GROUP BY ts\n) \nSELECT * FROM __spatial_aggregation_cte \nORDER BY ts"
           }
         }
       ]

tests/integration/testdata/alerts/test_scenarios/threshold_above_last/alert_data.jsonl

@@ -1,12 +1,12 @@
-{"metric_name":"disk_usage_threshold_above_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:01:00+00:00","value":5,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
-{"metric_name":"disk_usage_threshold_above_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:02:00+00:00","value":10,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
-{"metric_name":"disk_usage_threshold_above_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:03:00+00:00","value":15,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
-{"metric_name":"disk_usage_threshold_above_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:04:00+00:00","value":20,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
-{"metric_name":"disk_usage_threshold_above_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:05:00+00:00","value":31,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
-{"metric_name":"disk_usage_threshold_above_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:06:00+00:00","value":46,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
-{"metric_name":"disk_usage_threshold_above_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:07:00+00:00","value":58,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
-{"metric_name":"disk_usage_threshold_above_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:08:00+00:00","value":71,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
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-{"metric_name":"disk_usage_threshold_above_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:10:00+00:00","value":81,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
-{"metric_name":"disk_usage_threshold_above_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:11:00+00:00","value":86,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
-{"metric_name":"disk_usage_threshold_above_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:12:00+00:00","value":91,"temporality":"Cumulative","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
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+{"metric_name":"disk_usage_threshold_above_last","labels":{"device":"/dev/sda1","mountpoint":"/"},"timestamp":"2026-01-29T10:02:00+00:00","value":10,"temporality":"Cumulative","type_":"Sum","is_monotonic":false,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
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tests/integration/testdata/alerts/test_scenarios/threshold_equal_to_last/alert_data.jsonl

@@ -1,12 +1,12 @@
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tests/integration/testdata/alerts/test_scenarios/unit_conversion_bytes_to_mb/alert_data.jsonl

@@ -1,12 +1,12 @@
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