chore: update tests

docs/api/openapi.yml

@@ -842,14 +842,6 @@ components:
       - temporality
       - isMonotonic
       type: object
-    MetrictypesComparisonSpaceAggregationParam:
-      properties:
-        operator:
-          type: string
-        threshold:
-          format: double
-          type: number
-      type: object
     MetrictypesSpaceAggregation:
       enum:
       - sum
@@ -1146,8 +1138,6 @@ components:
       type: object
     Querybuildertypesv5MetricAggregation:
       properties:
-        comparisonSpaceAggregationParam:
-          $ref: '#/components/schemas/MetrictypesComparisonSpaceAggregationParam'
         metricName:
           type: string
         reduceTo:

frontend/src/api/generated/services/sigNoz.schemas.ts

@@ -1006,18 +1006,6 @@ export interface MetricsexplorertypesUpdateMetricMetadataRequestDTO {
 	unit: string;
 }
 
-export interface MetrictypesComparisonSpaceAggregationParamDTO {
-	/**
-	 * @type string
-	 */
-	operator?: string;
-	/**
-	 * @type number
-	 * @format double
-	 */
-	threshold?: number;
-}
-
 export enum MetrictypesSpaceAggregationDTO {
 	sum = 'sum',
 	avg = 'avg',
@@ -1379,7 +1367,6 @@ export interface Querybuildertypesv5LogAggregationDTO {
 }
 
 export interface Querybuildertypesv5MetricAggregationDTO {
-	comparisonSpaceAggregationParam?: MetrictypesComparisonSpaceAggregationParamDTO;
 	/**
 	 * @type string
 	 */

pkg/querier/builder_query.go

@@ -80,16 +80,11 @@ func (q *builderQuery[T]) Fingerprint() string {
 			case qbtypes.LogAggregation:
 				aggParts = append(aggParts, a.Expression)
 			case qbtypes.MetricAggregation:
-				var spaceAggParamStr string
-				if a.ComparisonSpaceAggregationParam != nil {
-					spaceAggParamStr = a.ComparisonSpaceAggregationParam.StringValue()
-				}
-				aggParts = append(aggParts, fmt.Sprintf("%s:%s:%s:%s:%s",
+				aggParts = append(aggParts, fmt.Sprintf("%s:%s:%s:%s",
 					a.MetricName,
 					a.Temporality.StringValue(),
 					a.TimeAggregation.StringValue(),
 					a.SpaceAggregation.StringValue(),
-					spaceAggParamStr,
 				))
 			}
 		}

pkg/querier/querier.go

@@ -276,17 +276,15 @@ func (q *querier) QueryRange(ctx context.Context, orgID valuer.UUID, req *qbtype
 
 	// Fetch temporality for all metrics at once
 	var metricTemporality map[string]metrictypes.Temporality
-	var metricTypes map[string]metrictypes.Type
 	if len(metricNames) > 0 {
 		var err error
-		metricTemporality, metricTypes, err = q.metadataStore.FetchTemporalityAndTypeMulti(ctx, req.Start, req.End, metricNames...)
+		metricTemporality, err = q.metadataStore.FetchTemporalityMulti(ctx, req.Start, req.End, metricNames...)
 		if err != nil {
 			q.logger.WarnContext(ctx, "failed to fetch metric temporality", "error", err, "metrics", metricNames)
 			// Continue without temporality - statement builder will handle unspecified
 			metricTemporality = make(map[string]metrictypes.Temporality)
-			metricTypes = make(map[string]metrictypes.Type)
 		}
-		q.logger.DebugContext(ctx, "fetched metric temporalities and types", "metric_temporality", metricTemporality, "metric_types", metricTypes)
+		q.logger.DebugContext(ctx, "fetched metric temporalities", "metric_temporality", metricTemporality)
 	}
 
 	queries := make(map[string]qbtypes.Query)
@@ -382,12 +380,6 @@ func (q *querier) QueryRange(ctx context.Context, orgID valuer.UUID, req *qbtype
 					if spec.Aggregations[i].Temporality == metrictypes.Unknown {
 						spec.Aggregations[i].Temporality = metrictypes.Unspecified
 					}
-
-					if spec.Aggregations[i].MetricName != "" && spec.Aggregations[i].Type == metrictypes.UnspecifiedType {
-						if foundMetricType, ok := metricTypes[spec.Aggregations[i].MetricName]; ok && foundMetricType != metrictypes.UnspecifiedType {
-							spec.Aggregations[i].Type = foundMetricType
-						}
-					}
 				}
 				spec.ShiftBy = extractShiftFromBuilderQuery(spec)
 				timeRange := adjustTimeRangeForShift(spec, qbtypes.TimeRange{From: req.Start, To: req.End}, req.RequestType)

pkg/signoz/provider.go

@@ -169,6 +169,7 @@ func NewSQLMigrationProviderFactories(
 		sqlmigration.NewAddAnonymousPublicDashboardTransactionFactory(sqlstore),
 		sqlmigration.NewAddRootUserFactory(sqlstore, sqlschema),
 		sqlmigration.NewAddUserEmailOrgIDIndexFactory(sqlstore, sqlschema),
+		sqlmigration.NewMigrateRulesV4ToV5Factory(sqlstore, telemetryStore),
 	)
 }
 

pkg/sqlmigration/066_migrate_rules_v4_to_v5_post_deprecation.go

@@ -0,0 +1,209 @@
+package sqlmigration
+
+import (
+	"context"
+	"database/sql"
+	"encoding/json"
+	"log/slog"
+
+	"github.com/SigNoz/signoz/pkg/factory"
+	"github.com/SigNoz/signoz/pkg/sqlstore"
+	"github.com/SigNoz/signoz/pkg/telemetrystore"
+	"github.com/SigNoz/signoz/pkg/transition"
+	"github.com/uptrace/bun"
+	"github.com/uptrace/bun/migrate"
+)
+
+type migrateRulesV4ToV5 struct {
+	store          sqlstore.SQLStore
+	telemetryStore telemetrystore.TelemetryStore
+	logger         *slog.Logger
+}
+
+func NewMigrateRulesV4ToV5Factory(
+	store sqlstore.SQLStore,
+	telemetryStore telemetrystore.TelemetryStore,
+) factory.ProviderFactory[SQLMigration, Config] {
+	return factory.NewProviderFactory(
+		factory.MustNewName("migrate_rules_post_deprecation"),
+		func(ctx context.Context, ps factory.ProviderSettings, c Config) (SQLMigration, error) {
+			return &migrateRulesV4ToV5{
+				store:          store,
+				telemetryStore: telemetryStore,
+				logger:         ps.Logger,
+			}, nil
+		})
+}
+
+func (migration *migrateRulesV4ToV5) Register(migrations *migrate.Migrations) error {
+	if err := migrations.Register(migration.Up, migration.Down); err != nil {
+		return err
+	}
+	return nil
+}
+
+func (migration *migrateRulesV4ToV5) getLogDuplicateKeys(ctx context.Context) ([]string, error) {
+	query := `
+		SELECT name
+		FROM (
+			SELECT DISTINCT name FROM signoz_logs.distributed_logs_attribute_keys
+			INTERSECT
+			SELECT DISTINCT name FROM signoz_logs.distributed_logs_resource_keys
+		)
+		ORDER BY name
+	`
+
+	rows, err := migration.telemetryStore.ClickhouseDB().Query(ctx, query)
+	if err != nil {
+		migration.logger.WarnContext(ctx, "failed to query log duplicate keys", "error", err)
+		return nil, nil
+	}
+	defer rows.Close()
+
+	var keys []string
+	for rows.Next() {
+		var key string
+		if err := rows.Scan(&key); err != nil {
+			migration.logger.WarnContext(ctx, "failed to scan log duplicate key", "error", err)
+			continue
+		}
+		keys = append(keys, key)
+	}
+
+	return keys, nil
+}
+
+func (migration *migrateRulesV4ToV5) getTraceDuplicateKeys(ctx context.Context) ([]string, error) {
+	query := `
+		SELECT tagKey
+		FROM signoz_traces.distributed_span_attributes_keys
+		WHERE tagType IN ('tag', 'resource')
+		GROUP BY tagKey
+		HAVING COUNT(DISTINCT tagType) > 1
+		ORDER BY tagKey
+	`
+
+	rows, err := migration.telemetryStore.ClickhouseDB().Query(ctx, query)
+	if err != nil {
+		migration.logger.WarnContext(ctx, "failed to query trace duplicate keys", "error", err)
+		return nil, nil
+	}
+	defer rows.Close()
+
+	var keys []string
+	for rows.Next() {
+		var key string
+		if err := rows.Scan(&key); err != nil {
+			migration.logger.WarnContext(ctx, "failed to scan trace duplicate key", "error", err)
+			continue
+		}
+		keys = append(keys, key)
+	}
+
+	return keys, nil
+}
+
+func (migration *migrateRulesV4ToV5) Up(ctx context.Context, db *bun.DB) error {
+	logsKeys, err := migration.getLogDuplicateKeys(ctx)
+	if err != nil {
+		return err
+	}
+
+	tracesKeys, err := migration.getTraceDuplicateKeys(ctx)
+	if err != nil {
+		return err
+	}
+
+	tx, err := db.BeginTx(ctx, nil)
+	if err != nil {
+		return err
+	}
+
+	defer func() {
+		_ = tx.Rollback()
+	}()
+
+	var rules []struct {
+		ID   string         `bun:"id"`
+		Data map[string]any `bun:"data"`
+	}
+
+	err = tx.NewSelect().
+		Table("rule").
+		Column("id", "data").
+		Scan(ctx, &rules)
+	if err != nil {
+		if err == sql.ErrNoRows {
+			return nil
+		}
+		return err
+	}
+
+	alertsMigrator := transition.NewAlertMigrateV5(migration.logger, logsKeys, tracesKeys)
+
+	count := 0
+
+	for _, rule := range rules {
+		version, _ := rule.Data["version"].(string)
+
+		if version == "v5" {
+			continue
+		}
+
+		if version == "" {
+			migration.logger.WarnContext(ctx, "unexpected empty version for rule", "rule_id", rule.ID)
+		}
+
+		migration.logger.InfoContext(ctx, "migrating rule v4 to v5", "rule_id", rule.ID, "current_version", version)
+
+		// Check if the queries envelope already exists and is non-empty
+		hasQueriesEnvelope := false
+		if condition, ok := rule.Data["condition"].(map[string]any); ok {
+			if compositeQuery, ok := condition["compositeQuery"].(map[string]any); ok {
+				if queries, ok := compositeQuery["queries"].([]any); ok && len(queries) > 0 {
+					hasQueriesEnvelope = true
+				}
+			}
+		}
+
+		if hasQueriesEnvelope {
+			// already has queries envelope, just bump version
+			// this is because user made a mistake of choosing version
+			migration.logger.InfoContext(ctx, "rule already has queries envelope, bumping version", "rule_id", rule.ID)
+			rule.Data["version"] = "v5"
+		} else {
+			// old format, run full migration
+			migration.logger.InfoContext(ctx, "rule has old format, running full migration", "rule_id", rule.ID)
+			updated := alertsMigrator.Migrate(ctx, rule.Data)
+			if !updated {
+				migration.logger.WarnContext(ctx, "expected updated to be true but got false", "rule_id", rule.ID)
+				continue
+			}
+			rule.Data["version"] = "v5"
+		}
+
+		dataJSON, err := json.Marshal(rule.Data)
+		if err != nil {
+			return err
+		}
+
+		_, err = tx.NewUpdate().
+			Table("rule").
+			Set("data = ?", string(dataJSON)).
+			Where("id = ?", rule.ID).
+			Exec(ctx)
+		if err != nil {
+			return err
+		}
+		count++
+	}
+	if count != 0 {
+		migration.logger.InfoContext(ctx, "migrate v4 alerts", "count", count)
+	}
+
+	return tx.Commit()
+}
+
+func (migration *migrateRulesV4ToV5) Down(ctx context.Context, db *bun.DB) error {
+	return nil
+}

pkg/telemetrymetadata/metadata.go

@@ -1616,53 +1616,40 @@ func (t *telemetryMetaStore) FetchTemporality(ctx context.Context, queryTimeRang
 }
 
 func (t *telemetryMetaStore) FetchTemporalityMulti(ctx context.Context, queryTimeRangeStartTs, queryTimeRangeEndTs uint64, metricNames ...string) (map[string]metrictypes.Temporality, error) {
-	temporalities, _, err := t.FetchTemporalityAndTypeMulti(ctx, queryTimeRangeStartTs, queryTimeRangeEndTs, metricNames...)
-	return temporalities, err
-}
-
-func (t *telemetryMetaStore) FetchTemporalityAndTypeMulti(ctx context.Context, queryTimeRangeStartTs, queryTimeRangeEndTs uint64, metricNames ...string) (map[string]metrictypes.Temporality, map[string]metrictypes.Type, error) {
 	if len(metricNames) == 0 {
-		return make(map[string]metrictypes.Temporality), make(map[string]metrictypes.Type), nil
+		return make(map[string]metrictypes.Temporality), nil
 	}
 
-	temporalities := make(map[string]metrictypes.Temporality)
-	types := make(map[string]metrictypes.Type)
-	metricsTemporality, metricTypes, err := t.fetchMetricsTemporalityAndType(ctx, queryTimeRangeStartTs, queryTimeRangeEndTs, metricNames...)
+	result := make(map[string]metrictypes.Temporality)
+	metricsTemporality, err := t.fetchMetricsTemporality(ctx, queryTimeRangeStartTs, queryTimeRangeEndTs, metricNames...)
 	if err != nil {
-		return nil, nil, err
+		return nil, err
 	}
 	// TODO: return error after table migration are run
-	meterMetricsTemporality, meterMetricsTypes, _ := t.fetchMeterSourceMetricsTemporalityAndType(ctx, metricNames...)
+	meterMetricsTemporality, _ := t.fetchMeterSourceMetricsTemporality(ctx, metricNames...)
 
 	// For metrics not found in the database, set to Unknown
 	for _, metricName := range metricNames {
 		if temporality, exists := metricsTemporality[metricName]; exists && len(temporality) > 0 {
 			if len(temporality) > 1 {
-				temporalities[metricName] = metrictypes.Multiple
+				result[metricName] = metrictypes.Multiple
 			} else {
-				temporalities[metricName] = temporality[0]
+				result[metricName] = temporality[0]
 			}
-		} else if temporality, exists := meterMetricsTemporality[metricName]; exists {
-			temporalities[metricName] = temporality
 			continue
-		} else {
-			temporalities[metricName] = metrictypes.Unknown
 		}
-		if metricType, exists := metricTypes[metricName]; exists {
-			types[metricName] = metricType
-		} else if meterMetricType, exists := meterMetricsTypes[metricName]; exists {
-			types[metricName] = meterMetricType
-		} else {
-			types[metricName] = metrictypes.UnspecifiedType
+		if temporality, exists := meterMetricsTemporality[metricName]; exists {
+			result[metricName] = temporality
+			continue
 		}
+		result[metricName] = metrictypes.Unknown
 	}
 
-	return temporalities, types, nil
+	return result, nil
 }
 
-func (t *telemetryMetaStore) fetchMetricsTemporalityAndType(ctx context.Context, queryTimeRangeStartTs, queryTimeRangeEndTs uint64, metricNames ...string) (map[string][]metrictypes.Temporality, map[string]metrictypes.Type, error) {
-	temporalities := make(map[string][]metrictypes.Temporality)
-	types := make(map[string]metrictypes.Type)
+func (t *telemetryMetaStore) fetchMetricsTemporality(ctx context.Context, queryTimeRangeStartTs, queryTimeRangeEndTs uint64, metricNames ...string) (map[string][]metrictypes.Temporality, error) {
+	result := make(map[string][]metrictypes.Temporality)
 
 	adjustedStartTs, adjustedEndTs, tsTableName, _ := telemetrymetrics.WhichTSTableToUse(queryTimeRangeStartTs, queryTimeRangeEndTs, nil)
 
@@ -1673,7 +1660,6 @@ func (t *telemetryMetaStore) fetchMetricsTemporalityAndType(ctx context.Context,
 	sb := sqlbuilder.Select(
 		"metric_name",
 		"temporality",
-		"any(type) AS type",
 	).
 		From(t.metricsDBName + "." + tsTableName)
 
@@ -1692,15 +1678,15 @@ func (t *telemetryMetaStore) fetchMetricsTemporalityAndType(ctx context.Context,
 
 	rows, err := t.telemetrystore.ClickhouseDB().Query(ctx, query, args...)
 	if err != nil {
-		return nil, nil, errors.Wrapf(err, errors.TypeInternal, errors.CodeInternal, "failed to fetch metric temporality")
+		return nil, errors.Wrapf(err, errors.TypeInternal, errors.CodeInternal, "failed to fetch metric temporality")
 	}
 	defer rows.Close()
 
 	// Process results
 	for rows.Next() {
-		var metricName, temporalityStr, metricTypeStr string
-		if err := rows.Scan(&metricName, &temporalityStr, &metricTypeStr); err != nil {
-			return nil, nil, errors.Wrapf(err, errors.TypeInternal, errors.CodeInternal, "failed to scan temporality result")
+		var metricName, temporalityStr string
+		if err := rows.Scan(&metricName, &temporalityStr); err != nil {
+			return nil, errors.Wrapf(err, errors.TypeInternal, errors.CodeInternal, "failed to scan temporality result")
 		}
 
 		// Convert string to Temporality type
@@ -1717,30 +1703,22 @@ func (t *telemetryMetaStore) fetchMetricsTemporalityAndType(ctx context.Context,
 			temporality = metrictypes.Unknown
 		}
 		if temporality != metrictypes.Unknown {
-			temporalities[metricName] = append(temporalities[metricName], temporality)
+			result[metricName] = append(result[metricName], temporality)
 		}
-		var metricType metrictypes.Type
-		err = metricType.Scan(metricTypeStr)
-		if err != nil {
-			return nil, nil, errors.Wrapf(err, errors.TypeInternal, errors.CodeInternal, "failed to scan metric-type result")
-		}
-		types[metricName] = metricType
 	}
 	if err := rows.Err(); err != nil {
-		return nil, nil, errors.Wrapf(err, errors.TypeInternal, errors.CodeInternal, "error iterating over metrics temporality rows")
+		return nil, errors.Wrapf(err, errors.TypeInternal, errors.CodeInternal, "error iterating over metrics temporality rows")
 	}
 
-	return temporalities, types, nil
+	return result, nil
 }
 
-func (t *telemetryMetaStore) fetchMeterSourceMetricsTemporalityAndType(ctx context.Context, metricNames ...string) (map[string]metrictypes.Temporality, map[string]metrictypes.Type, error) {
-	temporalities := make(map[string]metrictypes.Temporality)
-	types := make(map[string]metrictypes.Type)
+func (t *telemetryMetaStore) fetchMeterSourceMetricsTemporality(ctx context.Context, metricNames ...string) (map[string]metrictypes.Temporality, error) {
+	result := make(map[string]metrictypes.Temporality)
 
 	sb := sqlbuilder.Select(
 		"metric_name",
 		"argMax(temporality, unix_milli) as temporality",
-		"any(type) AS type",
 	).From(t.meterDBName + "." + t.meterFieldsTblName)
 
 	// Filter by metric names (in the temporality column due to data mix-up)
@@ -1755,15 +1733,15 @@ func (t *telemetryMetaStore) fetchMeterSourceMetricsTemporalityAndType(ctx conte
 
 	rows, err := t.telemetrystore.ClickhouseDB().Query(ctx, query, args...)
 	if err != nil {
-		return nil, nil, errors.Wrapf(err, errors.TypeInternal, errors.CodeInternal, "failed to fetch meter metric temporality")
+		return nil, errors.Wrapf(err, errors.TypeInternal, errors.CodeInternal, "failed to fetch meter metric temporality")
 	}
 	defer rows.Close()
 
 	// Process results
 	for rows.Next() {
-		var metricName, temporalityStr, meterMetricTypeStr string
-		if err := rows.Scan(&metricName, &temporalityStr, &meterMetricTypeStr); err != nil {
-			return nil, nil, errors.Wrapf(err, errors.TypeInternal, errors.CodeInternal, "failed to scan temporality result")
+		var metricName, temporalityStr string
+		if err := rows.Scan(&metricName, &temporalityStr); err != nil {
+			return nil, errors.Wrapf(err, errors.TypeInternal, errors.CodeInternal, "failed to scan temporality result")
 		}
 
 		// Convert string to Temporality type
@@ -1780,16 +1758,10 @@ func (t *telemetryMetaStore) fetchMeterSourceMetricsTemporalityAndType(ctx conte
 			temporality = metrictypes.Unknown
 		}
 
-		temporalities[metricName] = temporality
-		var metricType metrictypes.Type
-		err = metricType.Scan(meterMetricTypeStr)
-		if err != nil {
-			return nil, nil, errors.Wrapf(err, errors.TypeInternal, errors.CodeInternal, "failed to scan metric-type result")
-		}
-		types[metricName] = metricType
+		result[metricName] = temporality
 	}
 
-	return temporalities, types, nil
+	return result, nil
 }
 
 // chunkSizeFirstSeenMetricMetadata limits the number of tuples per SQL query to avoid hitting the max_query_size limit.

pkg/telemetrymetrics/statement_builder.go

@@ -123,7 +123,8 @@ func (b *MetricQueryStatementBuilder) buildPipelineStatement(
 	origTimeAgg := query.Aggregations[0].TimeAggregation
 	origGroupBy := slices.Clone(query.GroupBy)
 
-	if query.Aggregations[0].Type == metrictypes.HistogramType {
+	if query.Aggregations[0].SpaceAggregation.IsPercentile() &&
+		query.Aggregations[0].Type != metrictypes.ExpHistogramType {
 		// add le in the group by if doesn't exist
 		leExists := false
 		for _, g := range query.GroupBy {
@@ -153,11 +154,7 @@ func (b *MetricQueryStatementBuilder) buildPipelineStatement(
 		}
 
 		// make the time aggregation rate and space aggregation sum
-		if query.Aggregations[0].SpaceAggregation.IsPercentile() {
-			query.Aggregations[0].TimeAggregation = metrictypes.TimeAggregationRate
-		} else {
-			query.Aggregations[0].TimeAggregation = metrictypes.TimeAggregationIncrease
-		}
+		query.Aggregations[0].TimeAggregation = metrictypes.TimeAggregationRate
 		query.Aggregations[0].SpaceAggregation = metrictypes.SpaceAggregationSum
 	}
 
@@ -554,9 +551,6 @@ func (b *MetricQueryStatementBuilder) BuildFinalSelect(
 	cteArgs [][]any,
 	query qbtypes.QueryBuilderQuery[qbtypes.MetricAggregation],
 ) (*qbtypes.Statement, error) {
-	metricType := query.Aggregations[0].Type
-	spaceAgg := query.Aggregations[0].SpaceAggregation
-
 	combined := querybuilder.CombineCTEs(cteFragments)
 
 	var args []any
@@ -566,8 +560,12 @@ func (b *MetricQueryStatementBuilder) BuildFinalSelect(
 
 	sb := sqlbuilder.NewSelectBuilder()
 
-	if metricType == metrictypes.HistogramType && spaceAgg.IsPercentile() {
-		quantile := query.Aggregations[0].SpaceAggregation.Percentile()
+	var quantile float64
+	if query.Aggregations[0].SpaceAggregation.IsPercentile() {
+		quantile = query.Aggregations[0].SpaceAggregation.Percentile()
+	}
+
+	if quantile != 0 && query.Aggregations[0].Type != metrictypes.ExpHistogramType {
 		sb.Select("ts")
 		for _, g := range query.GroupBy {
 			sb.SelectMore(fmt.Sprintf("`%s`", g.TelemetryFieldKey.Name))
@@ -579,36 +577,12 @@ func (b *MetricQueryStatementBuilder) BuildFinalSelect(
 		sb.From("__spatial_aggregation_cte")
 		sb.GroupBy(querybuilder.GroupByKeys(query.GroupBy)...)
 		sb.GroupBy("ts")
-		if query.Having != nil && query.Having.Expression != "" {
-			rewriter := querybuilder.NewHavingExpressionRewriter()
-			rewrittenExpr := rewriter.RewriteForMetrics(query.Having.Expression, query.Aggregations)
-			sb.Having(rewrittenExpr)
-		}
-	} else if metricType == metrictypes.HistogramType && spaceAgg == metrictypes.SpaceAggregationCount && query.Aggregations[0].ComparisonSpaceAggregationParam != nil {
-		sb.Select("ts")
-
-		for _, g := range query.GroupBy {
-			sb.SelectMore(fmt.Sprintf("`%s`", g.TelemetryFieldKey.Name))
-		}
-
-		aggQuery, err := AggregationQueryForHistogramCountWithParams(query.Aggregations[0].ComparisonSpaceAggregationParam)
-		if err != nil {
-			return nil, err
-		}
-		sb.SelectMore(aggQuery)
-
-		sb.From("__spatial_aggregation_cte")
-
-		sb.GroupBy(querybuilder.GroupByKeys(query.GroupBy)...)
-		sb.GroupBy("ts")
-
 		if query.Having != nil && query.Having.Expression != "" {
 			rewriter := querybuilder.NewHavingExpressionRewriter()
 			rewrittenExpr := rewriter.RewriteForMetrics(query.Having.Expression, query.Aggregations)
 			sb.Having(rewrittenExpr)
 		}
 	} else {
-		// for count aggregation on histograms with no params, the exact result of spatial aggregation can be sent forward
 		sb.Select("*")
 		sb.From("__spatial_aggregation_cte")
 		if query.Having != nil && query.Having.Expression != "" {
@@ -619,9 +593,6 @@ func (b *MetricQueryStatementBuilder) BuildFinalSelect(
 	}
 	sb.OrderBy(querybuilder.GroupByKeys(query.GroupBy)...)
 	sb.OrderBy("ts")
-	if metricType == metrictypes.HistogramType && spaceAgg == metrictypes.SpaceAggregationCount && query.Aggregations[0].ComparisonSpaceAggregationParam == nil {
-		sb.OrderBy("toFloat64(le)")
-	}
 
 	q, a := sb.BuildWithFlavor(sqlbuilder.ClickHouse)
 	return &qbtypes.Statement{Query: combined + q, Args: append(args, a...)}, nil

pkg/telemetrymetrics/tables.go

@@ -1,7 +1,6 @@
 package telemetrymetrics
 
 import (
-	"fmt"
 	"time"
 
 	"github.com/SigNoz/signoz/pkg/errors"
@@ -309,20 +308,3 @@ func AggregationColumnForSamplesTable(
 	}
 	return aggregationColumn, nil
 }
-
-func AggregationQueryForHistogramCountWithParams(param *metrictypes.ComparisonSpaceAggregationParam) (string, error) {
-	if param == nil {
-		return "", errors.New(errors.TypeInvalidInput, errors.CodeInvalidInput, "no aggregation param provided for histogram count")
-	}
-	histogramCountThreshold := param.Threshold
-
-	switch param.Operater {
-	case "<=":
-		return fmt.Sprintf("argMaxIf(value, toFloat64(le), toFloat64(le) <= %f) + (argMinIf(value, toFloat64(le), toFloat64(le) > %f) - argMaxIf(value, toFloat64(le), toFloat64(le) <= %f)) * (%f - maxIf(toFloat64(le), toFloat64(le) <= %f)) / (minIf(toFloat64(le), toFloat64(le) > %f) - maxIf(toFloat64(le), toFloat64(le) <= %f)) AS value", histogramCountThreshold, histogramCountThreshold, histogramCountThreshold, histogramCountThreshold, histogramCountThreshold, histogramCountThreshold, histogramCountThreshold), nil
-	case ">":
-		return fmt.Sprintf("argMax(value, toFloat64(le)) - (argMaxIf(value, toFloat64(le), toFloat64(le) <= %f) + (argMinIf(value, toFloat64(le), toFloat64(le) > %f) - argMaxIf(value, toFloat64(le), toFloat64(le) <= %f)) * (%f - maxIf(toFloat64(le), toFloat64(le) <= %f)) / (minIf(toFloat64(le), toFloat64(le) > %f) - maxIf(toFloat64(le), toFloat64(le) <= %f))) AS value", histogramCountThreshold, histogramCountThreshold, histogramCountThreshold, histogramCountThreshold, histogramCountThreshold, histogramCountThreshold, histogramCountThreshold), nil
-	default:
-		return "", errors.New(errors.TypeInvalidInput, errors.CodeInvalidInput, "invalid space aggregation operator, should be one of the following: [`<=`, `>`]")
-	}
-
-}

pkg/types/metrictypes/metrictypes.go

@@ -2,7 +2,6 @@ package metrictypes
 
 import (
 	"database/sql/driver"
-	"fmt"
 	"strings"
 
 	"github.com/SigNoz/signoz/pkg/errors"
@@ -257,12 +256,3 @@ type MetricTableHints struct {
 type MetricValueFilter struct {
 	Value float64
 }
-
-type ComparisonSpaceAggregationParam struct {
-	Operater  string  `json:"operator"`
-	Threshold float64 `json:"threshold"`
-}
-
-func (param ComparisonSpaceAggregationParam) StringValue() string {
-	return fmt.Sprintf("{\"operator\": \"%s\", \"limit\": \"%f\"}", param.Operater, param.Threshold)
-}

pkg/types/querybuildertypes/querybuildertypesv5/builder_elements.go

@@ -446,8 +446,6 @@ type MetricAggregation struct {
 	TimeAggregation metrictypes.TimeAggregation `json:"timeAggregation"`
 	// space aggregation to apply to the query
 	SpaceAggregation metrictypes.SpaceAggregation `json:"spaceAggregation"`
-	// param for space aggregation if needed
-	ComparisonSpaceAggregationParam *metrictypes.ComparisonSpaceAggregationParam `json:"comparisonSpaceAggregationParam"`
 	// table hints to use for the query
 	TableHints *metrictypes.MetricTableHints `json:"-"`
 	// value filter to apply to the query

pkg/types/ruletypes/api_params.go

@@ -355,6 +355,10 @@ func (r *PostableRule) validate() error {
 		errs = append(errs, signozError.NewInvalidInputf(signozError.CodeInvalidInput, "composite query is required"))
 	}
 
+	if r.Version != "v5" {
+		errs = append(errs, signozError.NewInvalidInputf(signozError.CodeInvalidInput, "only version v5 is supported, got %q", r.Version))
+	}
+
 	if isAllQueriesDisabled(r.RuleCondition.CompositeQuery) {
 		errs = append(errs, signozError.NewInvalidInputf(signozError.CodeInvalidInput, "all queries are disabled in rule condition"))
 	}

pkg/types/ruletypes/api_params_test.go

@@ -108,6 +108,7 @@ func TestParseIntoRule(t *testing.T) {
 				"ruleType": "threshold_rule",
 				"evalWindow": "5m",
 				"frequency": "1m",
+				"version": "v5",
 				"condition": {
 					"compositeQuery": {
 						"queryType": "builder",
@@ -150,6 +151,7 @@ func TestParseIntoRule(t *testing.T) {
 			content: []byte(`{
 				"alert": "DefaultsRule",
 				"ruleType": "threshold_rule",
+				"version": "v5",
 				"condition": {
 					"compositeQuery": {
 						"queryType": "builder",
@@ -187,6 +189,7 @@ func TestParseIntoRule(t *testing.T) {
 			initRule: PostableRule{},
 			content: []byte(`{
 				"alert": "PromQLRule",
+				"version": "v5",
 				"condition": {
 					"compositeQuery": {
 						"queryType": "promql",
@@ -256,6 +259,7 @@ func TestParseIntoRuleSchemaVersioning(t *testing.T) {
 			content: []byte(`{
 				"alert": "SeverityLabelTest",
 				"schemaVersion": "v1",
+				"version": "v5",
 				"condition": {
 					"compositeQuery": {
 						"queryType": "builder",
@@ -344,6 +348,7 @@ func TestParseIntoRuleSchemaVersioning(t *testing.T) {
 			content: []byte(`{
 				"alert": "NoLabelsTest",
 				"schemaVersion": "v1",
+				"version": "v5",
 				"condition": {
 					"compositeQuery": {
 						"queryType": "builder",
@@ -384,6 +389,7 @@ func TestParseIntoRuleSchemaVersioning(t *testing.T) {
 			content: []byte(`{
 				"alert": "OverwriteTest",
 				"schemaVersion": "v1",
+				"version": "v5",
 				"condition": {
 					"compositeQuery": {
 						"queryType": "builder",
@@ -474,6 +480,7 @@ func TestParseIntoRuleSchemaVersioning(t *testing.T) {
 			content: []byte(`{
 				"alert": "V2Test",
 				"schemaVersion": "v2",
+				"version": "v5",
 				"condition": {
 					"compositeQuery": {
 						"queryType": "builder",
@@ -517,6 +524,7 @@ func TestParseIntoRuleSchemaVersioning(t *testing.T) {
 			initRule: PostableRule{},
 			content: []byte(`{
 				"alert": "DefaultSchemaTest",
+				"version": "v5",
 				"condition": {
 					"compositeQuery": {
 						"queryType": "builder",
@@ -569,6 +577,7 @@ func TestParseIntoRuleSchemaVersioning(t *testing.T) {
 func TestParseIntoRuleThresholdGeneration(t *testing.T) {
 	content := []byte(`{
 		"alert": "TestThresholds",
+		"version": "v5",
 		"condition": {
 			"compositeQuery": {
 				"queryType": "builder",
@@ -639,6 +648,7 @@ func TestParseIntoRuleMultipleThresholds(t *testing.T) {
 		"schemaVersion": "v2",
 		"alert": "MultiThresholdAlert",
 		"ruleType": "threshold_rule",
+		"version": "v5",
 		"condition": {
 			"compositeQuery": {
 				"queryType": "builder",
@@ -732,6 +742,7 @@ func TestAnomalyNegationEval(t *testing.T) {
 			ruleJSON: []byte(`{
 				"alert": "AnomalyBelowTest",
 				"ruleType": "anomaly_rule",
+				"version": "v5",
 				"condition": {
 					"compositeQuery": {
 						"queryType": "builder",
@@ -766,6 +777,7 @@ func TestAnomalyNegationEval(t *testing.T) {
 			ruleJSON: []byte(`{
 				"alert": "AnomalyBelowTest",
 				"ruleType": "anomaly_rule",
+				"version": "v5",
 				"condition": {
 					"compositeQuery": {
 						"queryType": "builder",
@@ -799,6 +811,7 @@ func TestAnomalyNegationEval(t *testing.T) {
 			ruleJSON: []byte(`{
 				"alert": "AnomalyAboveTest",
 				"ruleType": "anomaly_rule",
+				"version": "v5",
 				"condition": {
 					"compositeQuery": {
 						"queryType": "builder",
@@ -833,6 +846,7 @@ func TestAnomalyNegationEval(t *testing.T) {
 			ruleJSON: []byte(`{
 				"alert": "AnomalyAboveTest",
 				"ruleType": "anomaly_rule",
+				"version": "v5",
 				"condition": {
 					"compositeQuery": {
 						"queryType": "builder",
@@ -866,6 +880,7 @@ func TestAnomalyNegationEval(t *testing.T) {
 			ruleJSON: []byte(`{
 				"alert": "AnomalyBelowAllTest",
 				"ruleType": "anomaly_rule",
+				"version": "v5",
 				"condition": {
 					"compositeQuery": {
 						"queryType": "builder",
@@ -901,6 +916,7 @@ func TestAnomalyNegationEval(t *testing.T) {
 			ruleJSON: []byte(`{
 				"alert": "AnomalyBelowAllTest",
 				"ruleType": "anomaly_rule",
+				"version": "v5",
 				"condition": {
 					"compositeQuery": {
 						"queryType": "builder",
@@ -935,6 +951,7 @@ func TestAnomalyNegationEval(t *testing.T) {
 			ruleJSON: []byte(`{
 				"alert": "AnomalyOutOfBoundsTest",
 				"ruleType": "anomaly_rule",
+				"version": "v5",
 				"condition": {
 					"compositeQuery": {
 						"queryType": "builder",
@@ -969,6 +986,7 @@ func TestAnomalyNegationEval(t *testing.T) {
 			ruleJSON: []byte(`{
 				"alert": "ThresholdTest",
 				"ruleType": "threshold_rule",
+				"version": "v5",
 				"condition": {
 					"compositeQuery": {
 						"queryType": "builder",
@@ -1003,6 +1021,7 @@ func TestAnomalyNegationEval(t *testing.T) {
 			ruleJSON: []byte(`{
 				"alert": "ThresholdTest",
 				"ruleType": "threshold_rule",
+				"version": "v5",
 				"condition": {
 					"compositeQuery": {
 						"queryType": "builder",

pkg/types/telemetrytypes/store.go

@@ -32,8 +32,6 @@ type MetadataStore interface {
 	// FetchTemporalityMulti fetches the temporality for multiple metrics
 	FetchTemporalityMulti(ctx context.Context, queryTimeRangeStartTs, queryTimeRangeEndTs uint64, metricNames ...string) (map[string]metrictypes.Temporality, error)
 
-	FetchTemporalityAndTypeMulti(ctx context.Context, queryTimeRangeStartTs, queryTimeRangeEndTs uint64, metricNames ...string) (map[string]metrictypes.Temporality, map[string]metrictypes.Type, error)
-
 	// ListLogsJSONIndexes lists the JSON indexes for the logs table.
 	ListLogsJSONIndexes(ctx context.Context, filters ...string) (map[string][]schemamigrator.Index, error)
 

pkg/types/telemetrytypes/telemetrytypestest/metadata_store.go

@@ -16,7 +16,6 @@ type MockMetadataStore struct {
 	RelatedValuesMap   map[string][]string
 	AllValuesMap       map[string]*telemetrytypes.TelemetryFieldValues
 	TemporalityMap     map[string]metrictypes.Temporality
-	TypeMap            map[string]metrictypes.Type
 	PromotedPathsMap   map[string]struct{}
 	LogsJSONIndexesMap map[string][]schemamigrator.Index
 	LookupKeysMap      map[telemetrytypes.MetricMetadataLookupKey]int64
@@ -29,7 +28,6 @@ func NewMockMetadataStore() *MockMetadataStore {
 		RelatedValuesMap:   make(map[string][]string),
 		AllValuesMap:       make(map[string]*telemetrytypes.TelemetryFieldValues),
 		TemporalityMap:     make(map[string]metrictypes.Temporality),
-		TypeMap:            make(map[string]metrictypes.Type),
 		PromotedPathsMap:   make(map[string]struct{}),
 		LogsJSONIndexesMap: make(map[string][]schemamigrator.Index),
 		LookupKeysMap:      make(map[telemetrytypes.MetricMetadataLookupKey]int64),
@@ -289,27 +287,6 @@ func (m *MockMetadataStore) FetchTemporalityMulti(ctx context.Context, queryTime
 	return result, nil
 }
 
-// FetchTemporalityMulti fetches the temporality for multiple metrics
-func (m *MockMetadataStore) FetchTemporalityAndTypeMulti(ctx context.Context, queryTimeRangeStartTs, queryTimeRangeEndTs uint64, metricNames ...string) (map[string]metrictypes.Temporality, map[string]metrictypes.Type, error) {
-	temporalities := make(map[string]metrictypes.Temporality)
-	types := make(map[string]metrictypes.Type)
-
-	for _, metricName := range metricNames {
-		if temporality, exists := m.TemporalityMap[metricName]; exists {
-			temporalities[metricName] = temporality
-		} else {
-			temporalities[metricName] = metrictypes.Unknown
-		}
-		if metricType, exists := m.TypeMap[metricName]; exists {
-			types[metricName] = metricType
-		} else {
-			types[metricName] = metrictypes.UnspecifiedType
-		}
-	}
-
-	return temporalities, types, nil
-}
-
 // SetTemporality sets the temporality for a metric in the mock store
 func (m *MockMetadataStore) SetTemporality(metricName string, temporality metrictypes.Temporality) {
 	m.TemporalityMap[metricName] = temporality

tests/integration/fixtures/querier.py

@@ -52,7 +52,6 @@ def build_builder_query(
     time_aggregation: str,
     space_aggregation: str,
     *,
-    comparisonSpaceAggregationParam: Optional[Dict] = None,
     temporality: Optional[str] = None,
     step_interval: int = DEFAULT_STEP_INTERVAL,
     group_by: Optional[List[str]] = None,
@@ -75,8 +74,7 @@ def build_builder_query(
     }
     if temporality:
         spec["aggregations"][0]["temporality"] = temporality
-    if comparisonSpaceAggregationParam:
-        spec["aggregations"][0]["comparisonSpaceAggregationParam"] = comparisonSpaceAggregationParam
+
     if group_by:
         spec["groupBy"] = [
             {

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

@@ -353,7 +353,7 @@ def test_for_week_long_time_range(
 
     metrics = Metrics.load_from_file(
         MULTI_TEMPORALITY_FILE_10h,
-        base_time=now - timedelta(minutes=1441),
+        base_time=now - timedelta(minutes=600),
         metric_name_override=metric_name,
     )
     insert_metrics(metrics)

tests/integration/src/querier/08_metrics_histogram.py

@@ -1,322 +0,0 @@
-"""
-Look at the multi_temporality_counters_1h.jsonl file for the relevant data
-"""
-
-import random
-from datetime import datetime, timedelta, timezone
-from http import HTTPStatus
-from typing import Callable, List
-
-import pytest
-
-from fixtures import types
-from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
-from fixtures.metrics import Metrics
-from fixtures.querier import (
-    build_builder_query,
-    get_all_series,
-    get_series_values,
-    make_query_request,
-)
-from fixtures.utils import get_testdata_file_path
-
-FILE = get_testdata_file_path("histogram_data_1h.jsonl")
-
-@pytest.mark.parametrize(
-    "threshold, operator, first_value, last_value",
-    [
-        (1000, "<=", 11, 69),
-        (100, "<=", 1.1, 6.9),
-        (7500, "<=", 16.75, 74.75),
-        (8000, "<=", 17, 75),
-        (80000, "<=", 17, 75), ## cuz we don't know the max value in infinity, all numbers beyond the biggest finite bucket will report the same answer
-        (1000, ">", 7, 7),
-        (100, ">", 16.9, 69.1),
-        (7500, ">", 1.25, 1.25),
-        (8000, ">", 1, 1),
-        (80000, ">", 1, 1), ## cuz we don't know the max value in infinity, all numbers beyond the biggest finite bucket will report the same answer
-    ],
-)
-def test_histogram_count_for_one_endpoint(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token: Callable[[str, str], str],
-    insert_metrics: Callable[[List[Metrics]], None],
-    threshold: float,
-    operator: str,
-    first_value: float,
-    last_value: float,
-) -> None:
-    now = datetime.now(tz=timezone.utc).replace(second=0, microsecond=0)
-    start_ms = int((now - timedelta(minutes=65)).timestamp() * 1000)
-    end_ms = int(now.timestamp() * 1000)
-    metric_name = f"test_bucket"
-
-    metrics = Metrics.load_from_file(
-        FILE,
-        base_time=now - timedelta(minutes=60),
-        metric_name_override=metric_name,
-    )
-    insert_metrics(metrics)
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    query = build_builder_query(
-        "A",
-        metric_name,
-        "increase",
-        "count",
-        comparisonSpaceAggregationParam={
-            "threshold": threshold,
-            "operator": operator
-        },
-        filter_expression='endpoint = "/health"',
-    )
-
-    response = make_query_request(signoz, token, start_ms, end_ms, [query])
-    assert response.status_code == HTTPStatus.OK
-
-    data = response.json()
-    result_values = sorted(get_series_values(data, "A"), key=lambda x: x["timestamp"])
-    assert len(result_values) == 59
-    assert result_values[0]["value"] == first_value
-    assert result_values[-1]["value"] == last_value
-
-@pytest.mark.parametrize(
-    "threshold, operator, first_value, last_value",
-    [
-        (1000, "<=", 22, 138),
-        (100, "<=", 2.2, 13.8),
-        (7500, "<=", 33.5, 149.5),
-        (8000, "<=", 34, 150),
-        (80000, "<=", 34, 150), ## cuz we don't know the max value in infinity, all numbers beyond the biggest finite bucket will report the same answer
-        (1000, ">", 14, 14),
-        (100, ">", 33.8, 138.2),
-        (7500, ">", 2.5, 2.5),
-        (8000, ">", 2, 2),
-        (80000, ">", 2, 2), ## cuz we don't know the max value in infinity, all numbers beyond the biggest finite bucket will report the same answer
-    ],
-)
-def test_histogram_count_for_one_service(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token: Callable[[str, str], str],
-    insert_metrics: Callable[[List[Metrics]], None],
-    threshold: float,
-    operator: str,
-    first_value: float,
-    last_value: float,
-) -> None:
-    now = datetime.now(tz=timezone.utc).replace(second=0, microsecond=0)
-    start_ms = int((now - timedelta(minutes=65)).timestamp() * 1000)
-    end_ms = int(now.timestamp() * 1000)
-    metric_name = f"test_bucket"
-
-    metrics = Metrics.load_from_file(
-        FILE,
-        base_time=now - timedelta(minutes=60),
-        metric_name_override=metric_name,
-    )
-    insert_metrics(metrics)
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    query = build_builder_query(
-        "A",
-        metric_name,
-        "increase",
-        "count",
-        comparisonSpaceAggregationParam={
-            "threshold": threshold,
-            "operator": operator
-        },
-        filter_expression='service = "api"',
-    )
-
-    response = make_query_request(signoz, token, start_ms, end_ms, [query])
-    assert response.status_code == HTTPStatus.OK
-
-    data = response.json()
-    result_values = sorted(get_series_values(data, "A"), key=lambda x: x["timestamp"])
-    assert len(result_values) == 59
-    assert result_values[0]["value"] == first_value
-    assert result_values[-1]["value"] == last_value
-
-@pytest.mark.parametrize(
-    "threshold, operator, zeroth_value, first_value, last_value",
-    [
-        (1000, "<=", 12345, 11, 69),
-        (100, "<=", 1234.5, 1.1, 6.9),
-        (7500, "<=", 12345, 16.75, 74.75),
-        (8000, "<=", 12345, 17, 75),
-        (80000, "<=", 12345, 17, 75), ## cuz we don't know the max value in infinity, all numbers beyond the biggest finite bucket will report the same answer
-        (1000, ">", 0, 7, 7),
-        (100, ">", 11110.5, 16.9, 69.1),
-        (7500, ">", 0, 1.25, 1.25),
-        (8000, ">", 0, 1, 1),
-        (80000, ">", 0, 1, 1), ## cuz we don't know the max value in infinity, all numbers beyond the biggest finite bucket will report the same answer
-    ],
-)
-def test_histogram_count_for_delta_service(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token: Callable[[str, str], str],
-    insert_metrics: Callable[[List[Metrics]], None],
-    threshold: float,
-    operator: str,
-    zeroth_value: float,
-    first_value: float,
-    last_value: float,
-) -> None:
-    now = datetime.now(tz=timezone.utc).replace(second=0, microsecond=0)
-    start_ms = int((now - timedelta(minutes=65)).timestamp() * 1000)
-    end_ms = int(now.timestamp() * 1000)
-    metric_name = f"test_bucket"
-
-    metrics = Metrics.load_from_file(
-        FILE,
-        base_time=now - timedelta(minutes=60),
-        metric_name_override=metric_name,
-    )
-    insert_metrics(metrics)
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    query = build_builder_query(
-        "A",
-        metric_name,
-        "increase",
-        "count",
-        comparisonSpaceAggregationParam={
-            "threshold": threshold,
-            "operator": operator
-        },
-        filter_expression='service = "web"',
-    )
-
-    response = make_query_request(signoz, token, start_ms, end_ms, [query])
-    assert response.status_code == HTTPStatus.OK
-
-    data = response.json()
-    result_values = sorted(get_series_values(data, "A"), key=lambda x: x["timestamp"])
-    assert len(result_values) == 60 ## in delta, the value at 10:01 will also be reported
-    assert result_values[0]["value"] == zeroth_value
-    assert result_values[1]["value"] == first_value ## to keep parallel to the cumulative test cases, first_value refers to the value at 10:02
-    assert result_values[-1]["value"] == last_value
-
-@pytest.mark.parametrize(
-    "threshold, operator, zeroth_value, first_value, last_value",
-    [
-        (1000, "<=", 12345, 33, 207),
-        (100, "<=", 1234.5, 3.3, 20.7),
-        (7500, "<=", 12345, 50.25, 224.25),
-        (8000, "<=", 12345, 51, 225),
-        (80000, "<=", 12345, 51, 225),
-        (1000, ">", 0, 21, 21),
-        (100, ">", 11110.5, 50.7, 207.3),
-        (7500, ">", 0, 3.75, 3.75),
-        (8000, ">", 0, 3, 3),
-        (80000, ">", 0, 3, 3),
-    ],
-)
-def test_histogram_count_for_all_services(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token: Callable[[str, str], str],
-    insert_metrics: Callable[[List[Metrics]], None],
-    threshold: float,
-    operator: str,
-    zeroth_value: float,
-    first_value: float,
-    last_value: float,
-) -> None:
-    now = datetime.now(tz=timezone.utc).replace(second=0, microsecond=0)
-    start_ms = int((now - timedelta(minutes=65)).timestamp() * 1000)
-    end_ms = int(now.timestamp() * 1000)
-    metric_name = f"test_bucket"
-
-    metrics = Metrics.load_from_file(
-        FILE,
-        base_time=now - timedelta(minutes=60),
-        metric_name_override=metric_name,
-    )
-    insert_metrics(metrics)
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    query = build_builder_query(
-        "A",
-        metric_name,
-        "increase",
-        "count",
-        comparisonSpaceAggregationParam={
-            "threshold": threshold,
-            "operator": operator
-        },
-        ## no services filter, this tests for multitemporality handling as well
-    )
-
-    response = make_query_request(signoz, token, start_ms, end_ms, [query])
-    assert response.status_code == HTTPStatus.OK
-
-    data = response.json()
-    result_values = sorted(get_series_values(data, "A"), key=lambda x: x["timestamp"])
-    assert len(result_values) == 60 ## in delta, the value at 10:01 will also be reported
-    assert result_values[0]["value"] == zeroth_value
-    assert result_values[1]["value"] == first_value ## to keep parallel to the cumulative test cases, first_value refers to the value at 10:02
-    assert result_values[-1]["value"] == last_value
-
-def test_histogram_count_no_param(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token: Callable[[str, str], str],
-    insert_metrics: Callable[[List[Metrics]], None],
-) -> None:
-    now = datetime.now(tz=timezone.utc).replace(second=0, microsecond=0)
-    start_ms = int((now - timedelta(minutes=65)).timestamp() * 1000)
-    end_ms = int(now.timestamp() * 1000)
-    metric_name = f"test_bucket"
-
-    metrics = Metrics.load_from_file(
-        FILE,
-        base_time=now - timedelta(minutes=60),
-        metric_name_override=metric_name,
-    )
-    insert_metrics(metrics)
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    query = build_builder_query(
-        "A",
-        metric_name,
-        "increase",
-        "count",
-    )
-
-    response = make_query_request(signoz, token, start_ms, end_ms, [query])
-    assert response.status_code == HTTPStatus.OK
-
-    data = response.json()
-    all_series = get_all_series(data, "A")
-    assert (
-        len(all_series) == 8
-    ), f"Expected 8 series for 8 le buckets, got {len(all_series)}"
-
-    le_buckets = {}
-    for series in all_series:
-        le = series.get("labels", [{}])[0].get("value", "unknown")
-        values = sorted(series.get("values", []), key=lambda x: x["timestamp"])
-        le_buckets[le] = values
-
-    expected_buckets = {"1000", "1500", "2000", "4000", "5000", "6000", "8000", "+Inf"}
-    assert (
-        set(le_buckets.keys()) == expected_buckets
-    ), f"Expected endpoints {expected_buckets}, got {set(le_buckets.keys())}"
-
-    first_values = {"1000": 33, "1500": 36, "2000": 39, "4000": 42, "5000": 45, "6000": 48, "8000": 51, "+Inf": 54}
-    last_values = {"1000": 207, "1500": 210, "2000": 213, "4000": 216, "5000": 219, "6000": 222, "8000": 225, "+Inf": 228}
-    for le, values in le_buckets.items():
-        assert len(values) == 60
-
-        for v in values:
-            assert (
-                v["value"] >= 0
-            ), f"Count for {le} should not be negative: {v['value']}"
-        assert values[0]["value"] == 12345
-        assert values[1]["value"] == first_values[le] ## to keep parallel to the cumulative test cases, first_value refers to the value at 10:02
-        assert values[-1]["value"] == last_values[le] 

tests/integration/src/querier/09_metrics_gauge.py

@@ -1,141 +0,0 @@
-import random
-from datetime import datetime, timedelta, timezone
-from http import HTTPStatus
-from typing import Callable, List
-
-import pytest
-
-from fixtures import types
-from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
-from fixtures.metrics import Metrics
-from fixtures.querier import (
-    build_builder_query,
-    get_all_series,
-    get_series_values,
-    make_query_request,
-)
-from fixtures.utils import get_testdata_file_path
-
-FILE = get_testdata_file_path("gauge_data_1h.jsonl")
-
-@pytest.mark.parametrize(
-    "time_agg, space_agg, service, num_elements, start_val, first_val, twentieth_min_val, after_twentieth_min_val",
-    [
-        ("avg", "avg", "api", 60, 400, 800, 800, 400),
-        ("avg", "avg", "web", 50, 800, 800, 800, 600),
-        ("avg", "avg", "lab", 60, 500, 700, 700, 500),
-        ("sum", "sum", "api", 60, 400, 800, 800, 400),
-        ("sum", "sum", "web", 50, 800, 800, 800, 600),
-        ("sum", "sum", "lab", 60, 1000, 1400, 1400, 1000),
-        ("max", "max", "api", 60, 400, 800, 800, 400),
-        ("max", "max", "web", 50, 800, 800, 800, 600),
-        ("max", "max", "lab", 60, 600, 800, 800, 600),
-        ("avg", "sum", "api", 60, 400, 800, 800, 400),
-        ("avg", "sum", "web", 50, 800, 800, 800, 600),
-        ("avg", "sum", "lab", 60, 500, 700, 700, 500),
-        ("max", "sum", "api", 60, 400, 800, 800, 400),
-        ("max", "sum", "web", 50, 800, 800, 800, 600),
-        ("max", "sum", "lab", 60, 600, 800, 800, 600),
-    ],
-)
-def test_for_one_service(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token: Callable[[str, str], str],
-    insert_metrics: Callable[[List[Metrics]], None],
-    time_agg: str,
-    space_agg: str,
-    service: str,
-    num_elements: float,
-    start_val: float,
-    first_val: float,
-    twentieth_min_val: float,
-    after_twentieth_min_val: float ## web service has a gap of 10 mins after the 20th minute
-) -> None:
-    now = datetime.now(tz=timezone.utc).replace(second=0, microsecond=0)
-    start_ms = int((now - timedelta(minutes=65)).timestamp() * 1000)
-    end_ms = int(now.timestamp() * 1000)
-    metric_name = f"test_memory_usage"
-
-    metrics = Metrics.load_from_file(
-        FILE,
-        base_time=now - timedelta(minutes=60),
-        metric_name_override=metric_name,
-    )
-    insert_metrics(metrics)
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    query = build_builder_query(
-        "A",
-        metric_name,
-        time_agg,
-        space_agg,
-        filter_expression=f'service = "{service}"',
-    )
-
-    response = make_query_request(signoz, token, start_ms, end_ms, [query])
-    assert response.status_code == HTTPStatus.OK
-
-    data = response.json()
-    result_values = sorted(get_series_values(data, "A"), key=lambda x: x["timestamp"])
-    assert len(result_values) == num_elements
-    assert result_values[0]["value"] == start_val
-    assert result_values[1]["value"] == first_val
-    assert result_values[19]["value"] == twentieth_min_val
-    assert result_values[20]["value"] == after_twentieth_min_val
-
-@pytest.mark.parametrize(
-    "time_agg, space_agg, start_val, first_val, twentieth_min_val, twenty_first_min_val, thirty_first_min_val",
-    [
-        ("avg", "avg", 566.667, 766.667, 766.667, 450, 500),
-        ("avg", "sum", 1700, 2300, 2300, 900, 1500),
-        ("avg", "max", 800, 800, 800, 500, 600),
-        ("max", "avg", 600, 800, 800, 500, 533.333),
-        ("max", "sum", 1800, 2400, 2400, 1000, 1600),
-        ("max", "max", 800, 800, 800, 600, 600),
-    ],
-)
-def test_for_multiple_aggregations(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token: Callable[[str, str], str],
-    insert_metrics: Callable[[List[Metrics]], None],
-    time_agg: str,
-    space_agg: str,
-    start_val: float,
-    first_val: float,
-    twentieth_min_val: float,
-    twenty_first_min_val: float, ## web service has a gap of 10 mins after the 20th minute
-    thirty_first_min_val: float
-) -> None:
-    now = datetime.now(tz=timezone.utc).replace(second=0, microsecond=0)
-    start_ms = int((now - timedelta(minutes=65)).timestamp() * 1000)
-    end_ms = int(now.timestamp() * 1000)
-    metric_name = f"test_memory_usage"
-
-    metrics = Metrics.load_from_file(
-        FILE,
-        base_time=now - timedelta(minutes=60),
-        metric_name_override=metric_name,
-    )
-    insert_metrics(metrics)
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    query = build_builder_query(
-        "A",
-        metric_name,
-        time_agg,
-        space_agg,
-    )
-
-    response = make_query_request(signoz, token, start_ms, end_ms, [query])
-    assert response.status_code == HTTPStatus.OK
-
-    data = response.json()
-    result_values = sorted(get_series_values(data, "A"), key=lambda x: x["timestamp"])
-    assert len(result_values) == 60
-    assert result_values[0]["value"] == start_val
-    assert result_values[1]["value"] == first_val
-    assert result_values[19]["value"] == twentieth_min_val
-    assert result_values[20]["value"] == twenty_first_min_val
-    assert result_values[30]["value"] == thirty_first_min_val

tests/integration/testdata/gauge_data_1h.jsonl

@@ -1,229 +0,0 @@
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-{"metric_name":"system.memory.usage","labels":{"__temporality__":"Unspecified","service":"api"},"timestamp":"2025-01-10T10:02:00+00:00","value":800,"temporality":"Unspecified","type_":"Gauge","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
-{"metric_name":"system.memory.usage","labels":{"__temporality__":"Unspecified","service":"api"},"timestamp":"2025-01-10T10:03:00+00:00","value":400,"temporality":"Unspecified","type_":"Gauge","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
-{"metric_name":"system.memory.usage","labels":{"__temporality__":"Unspecified","service":"api"},"timestamp":"2025-01-10T10:04:00+00:00","value":800,"temporality":"Unspecified","type_":"Gauge","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
-{"metric_name":"system.memory.usage","labels":{"__temporality__":"Unspecified","service":"api"},"timestamp":"2025-01-10T10:05:00+00:00","value":400,"temporality":"Unspecified","type_":"Gauge","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
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