chore: update return

chore: update tests
Merge branch 'main' into fix-issues
2026-02-15 13:42:35 +00:00 · 2026-02-15 12:44:09 +05:30 · 2026-02-15 12:38:48 +05:30 · 2026-02-14 22:42:14 +05:30 · 2026-02-14 11:02:09 +05:30
26 changed files with 565 additions and 1090 deletions
--- a/README.de-de.md
+++ b/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
--- a/README.md
+++ b/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 />


--- a/README.zh-cn.md
+++ b/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
--- a/conf/example.yaml
+++ b/conf/example.yaml
@@ -285,7 +285,6 @@ flagger:
  config:
    boolean:
      use_span_metrics: true
-      interpolation_enabled: false
      kafka_span_eval: false
    string:
    float:
--- a/pkg/flagger/registry.go
+++ b/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,
--- a/pkg/querybuilder/where_clause_visitor.go
+++ b/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
--- a/pkg/signoz/config.go
+++ b/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) {
--- a/pkg/telemetrymeter/statement_builder.go
+++ b/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
 }
--- a/pkg/telemetrymeter/tables.go
+++ b/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
 }
--- a/pkg/telemetrymetrics/condition_builder.go
+++ b/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
--- a/pkg/telemetrymetrics/statement_builder.go
+++ b/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
--- a/pkg/telemetrymetrics/tables.go
+++ b/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
 }
--- a/pkg/telemetrytraces/condition_builder.go
+++ b/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)
 	}

--- a/pkg/types/querybuildertypes/querybuildertypesv5/builder_elements.go
+++ b/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
--- a/pkg/types/querybuildertypes/querybuildertypesv5/builder_query.go
+++ b/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
+}
--- a/pkg/types/querybuildertypes/querybuildertypesv5/qb.go
+++ b/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")
 )
--- a/pkg/types/querybuildertypes/querybuildertypesv5/validation.go
+++ b/pkg/types/querybuildertypes/querybuildertypesv5/validation.go
@@ -179,14 +179,6 @@ 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)
@@ -803,85 +795,3 @@ 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
-}
--- a/tests/integration/src/alerts/02_basic_alert_conditions.py
+++ b/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
--- a/tests/integration/src/querier/03_metrics.py
+++ b/tests/integration/src/querier/03_metrics.py
--- a/tests/integration/src/querier/05_metrics_rate_cumulative_counter.py
+++ b/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:
--- a/tests/integration/src/querier/07_metrics_multi_temporality.py
+++ b/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:
--- a/tests/integration/testdata/alerts/test_scenarios/threshold_above_at_least_once/alert_data.jsonl
+++ b/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":{}}
--- a/tests/integration/testdata/alerts/test_scenarios/threshold_above_at_least_once/rule.json
+++ b/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"
          }
        }
      ]
--- a/tests/integration/testdata/alerts/test_scenarios/threshold_above_last/alert_data.jsonl
+++ b/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":{}}
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Author	SHA1	Message	Date
srikanthccv	4b117c85e6	chore: update return	2026-02-15 12:44:09 +05:30
srikanthccv	3e1a48acf9	chore: update tests	2026-02-15 12:38:48 +05:30
Srikanth Chekuri	6d282dfe68	Merge branch 'main' into fix-issues	2026-02-14 22:42:14 +05:30
srikanthccv	e3c04b378a	fix: update rate/increase query and address several issues in builder queries	2026-02-14 11:02:09 +05:30