feat: add org id support in root user config

2026-02-25 09:42:25 +00:00 · 2026-02-25 13:26:45 +05:30
22 changed files with 130 additions and 2838 deletions
--- a/docs/api/openapi.yml
+++ b/docs/api/openapi.yml
@@ -842,17 +842,6 @@ components:
      - temporality
      - isMonotonic
      type: object
-    MetrictypesComparisonSpaceAggregationParam:
-      properties:
-        operator:
-          type: string
-        threshold:
-          format: double
-          type: number
-      required:
-      - operator
-      - threshold
-      type: object
    MetrictypesSpaceAggregation:
      enum:
      - sum
@@ -1149,8 +1138,6 @@ components:
      type: object
    Querybuildertypesv5MetricAggregation:
      properties:
-        comparisonSpaceAggregationParam:
-          $ref: '#/components/schemas/MetrictypesComparisonSpaceAggregationParam'
        metricName:
          type: string
        reduceTo:
--- a/frontend/src/api/generated/services/sigNoz.schemas.ts
+++ b/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
 	 */
--- a/pkg/modules/user/config.go
+++ b/pkg/modules/user/config.go
@@ -22,7 +22,8 @@ type RootConfig struct {
 }

 type OrgConfig struct {
-	Name string `mapstructure:"name"`
+	ID   valuer.UUID `mapstructure:"id"`
+	Name string      `mapstructure:"name"`
 }

 type PasswordConfig struct {
--- a/pkg/modules/user/impluser/service.go
+++ b/pkg/modules/user/impluser/service.go
@@ -78,6 +78,48 @@ func (s *service) Stop(ctx context.Context) error {
 }

 func (s *service) reconcile(ctx context.Context) error {
+	if !s.config.Org.ID.IsZero() {
+		return s.reconcileWithOrgID(ctx)
+	}
+
+	return s.reconcileByName(ctx)
+}
+
+func (s *service) reconcileWithOrgID(ctx context.Context) error {
+	org, err := s.orgGetter.Get(ctx, s.config.Org.ID)
+	if err != nil {
+		if !errors.Ast(err, errors.TypeNotFound) {
+			return err // something really went wrong
+		}
+
+		// org was not found using id
+		// check if we can find an org using name
+
+		existingOrgByName, nameErr := s.orgGetter.GetByName(ctx, s.config.Org.Name)
+		if nameErr != nil && !errors.Ast(nameErr, errors.TypeNotFound) {
+			return nameErr // something really went wrong
+		}
+
+		// we found an org using name
+		if existingOrgByName != nil {
+			// the existing org has the same name as config but org id is different
+			// inform user with actionable message
+			return errors.Newf(errors.TypeInvalidInput, errors.CodeInvalidInput,
+				"organization with name %q already exists with a different ID %s (expected %s)",
+				s.config.Org.Name, existingOrgByName.ID.StringValue(), s.config.Org.ID.StringValue(),
+			)
+		}
+
+		// default - we did not found any org using id and name both - create a new org
+		newOrg := types.NewOrganizationWithID(s.config.Org.ID, s.config.Org.Name, s.config.Org.Name)
+		_, err = s.module.CreateFirstUser(ctx, newOrg, s.config.Email.String(), s.config.Email, s.config.Password)
+		return err
+	}
+
+	return s.reconcileRootUser(ctx, org.ID)
+}
+
+func (s *service) reconcileByName(ctx context.Context) error {
 	org, err := s.orgGetter.GetByName(ctx, s.config.Org.Name)
 	if err != nil {
 		if errors.Ast(err, errors.TypeNotFound) {
--- a/pkg/querier/builder_query.go
+++ b/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,
 				))
 			}
 		}
--- a/pkg/querier/querier.go
+++ b/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)
--- a/pkg/telemetrymetadata/metadata.go
+++ b/pkg/telemetrymetadata/metadata.go
@@ -1616,52 +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
-		} else {
-			temporalities[metricName] = metrictypes.Unknown
+			continue
 		}
-		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)

@@ -1672,8 +1660,6 @@ func (t *telemetryMetaStore) fetchMetricsTemporalityAndType(ctx context.Context,
 	sb := sqlbuilder.Select(
 		"metric_name",
 		"temporality",
-		"any(type) AS type",
-		"any(is_monotonic) as is_monotonic",
 	).
 		From(t.metricsDBName + "." + tsTableName)

@@ -1692,42 +1678,47 @@ 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 string
+		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
 		var temporality metrictypes.Temporality
-		var metricType metrictypes.Type
-		var isMonotonic bool
-		if err := rows.Scan(&metricName, &temporality, &metricType, &isMonotonic); err != nil {
-			return nil, nil, errors.Wrapf(err, errors.TypeInternal, errors.CodeInternal, "failed to scan temporality result")
+		switch temporalityStr {
+		case "Delta":
+			temporality = metrictypes.Delta
+		case "Cumulative":
+			temporality = metrictypes.Cumulative
+		case "Unspecified":
+			temporality = metrictypes.Unspecified
+		default:
+			// Unknown or empty temporality
+			temporality = metrictypes.Unknown
 		}
 		if temporality != metrictypes.Unknown {
-			temporalities[metricName] = append(temporalities[metricName], temporality)
+			result[metricName] = append(result[metricName], temporality)
 		}
-		if metricType == metrictypes.SumType && !isMonotonic {
-			metricType = metrictypes.GaugeType
-		}
-		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)
@@ -1742,27 +1733,35 @@ 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 string
+		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
 		var temporality metrictypes.Temporality
-		var metricType metrictypes.Type
-		var isMonotonic bool
-		if err := rows.Scan(&metricName, &temporality, &metricType, &isMonotonic); err != nil {
-			return nil, nil, errors.Wrapf(err, errors.TypeInternal, errors.CodeInternal, "failed to scan temporality result")
+		switch temporalityStr {
+		case "Delta":
+			temporality = metrictypes.Delta
+		case "Cumulative":
+			temporality = metrictypes.Cumulative
+		case "Unspecified":
+			temporality = metrictypes.Unspecified
+		default:
+			// Unknown or empty temporality
+			temporality = metrictypes.Unknown
 		}
-		if metricType == metrictypes.SumType && !isMonotonic {
-			metricType = metrictypes.GaugeType
-		}
-		temporalities[metricName] = temporality
-		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.
--- a/pkg/telemetrymetrics/statement_builder.go
+++ b/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
--- a/pkg/telemetrymetrics/tables.go
+++ b/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: [`<=`, `>`]")
-	}
-
-}
--- a/pkg/types/metrictypes/metrictypes.go
+++ b/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" required:"true"`
-	Threshold float64 `json:"threshold" required:"true"`
-}
-
-func (param ComparisonSpaceAggregationParam) StringValue() string {
-	return fmt.Sprintf("operator=%s:threshold=%f", param.Operater, param.Threshold)
-}
--- a/pkg/types/organization.go
+++ b/pkg/types/organization.go
@@ -41,6 +41,21 @@ func NewOrganization(displayName string, name string) *Organization {
 	}
 }

+func NewOrganizationWithID(id valuer.UUID, displayName string, name string) *Organization {
+	return &Organization{
+		Identifiable: Identifiable{
+			ID: id,
+		},
+		TimeAuditable: TimeAuditable{
+			CreatedAt: time.Now(),
+			UpdatedAt: time.Now(),
+		},
+		Name:        name,
+		DisplayName: displayName,
+		Key:         NewOrganizationKey(id),
+	}
+}
+
 func NewOrganizationKey(orgID valuer.UUID) uint32 {
 	hasher := fnv.New32a()

--- a/pkg/types/querybuildertypes/querybuildertypesv5/builder_elements.go
+++ b/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
--- a/pkg/types/telemetrytypes/store.go
+++ b/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)

--- a/pkg/types/telemetrytypes/telemetrytypestest/metadata_store.go
+++ b/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
--- a/tests/integration/fixtures/querier.py
+++ b/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"] = [
            {
--- a/tests/integration/src/querier/07_metrics_multi_temporality.py
+++ b/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)
--- a/tests/integration/src/querier/08_metrics_histogram.py
+++ b/tests/integration/src/querier/08_metrics_histogram.py
@@ -1,322 +0,0 @@
-"""
-Look at the histogram_data_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] 
--- a/tests/integration/src/querier/09_metrics_gauge.py
+++ b/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
--- a/tests/integration/src/querier/10_metrics_rate_delta_counter.py
+++ b/tests/integration/src/querier/10_metrics_rate_delta_counter.py
@@ -1,220 +0,0 @@
-"""
-Look at the delta_counters_1h.jsonl file for the relevant data
-"""
-
-import os
-from datetime import datetime, timedelta, timezone
-from http import HTTPStatus
-from typing import Any, Callable, List
-
-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,
-)
-
-TESTDATA_DIR = os.path.join(os.path.dirname(__file__), "..", "..", "testdata")
-DELTA_COUNTERS_FILE = os.path.join(TESTDATA_DIR, "delta_counters_1h.jsonl")
-
-
-def test_rate_with_steady_values_and_reset(
-    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 = "test_rate_stale"
-
-    metrics = Metrics.load_from_file(
-        DELTA_COUNTERS_FILE,
-        base_time=now - timedelta(minutes=61),
-        metric_name_override=metric_name,
-    )
-    insert_metrics(metrics)
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    query = build_builder_query(
-        "A",
-        metric_name,
-        "rate",
-        "sum",
-        filter_expression='endpoint = "/orders"',
-    )
-
-    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 ## total 61 minutes covered, and 30th minute is missing
-    assert (
-        result_values[30]["value"] == 0.0333
-    )  # reset happens and [30] is for 31st minute. 2/60 cuz delta divides by step interval
-    assert (
-        result_values[31]["value"] == 0.133
-    )  # i.e 8/60 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 == 58
-    )  # 1 reset + 1 high rate are excluded
-    # All rates should be non-negative (stale periods = 0 rate)
-    for v in result_values:
-        assert v["value"] >= 0, f"Rate should not be negative: {v['value']}"
-
-
-def test_rate_group_by_endpoint(
-    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 = "test_rate_groupby"
-
-    metrics = Metrics.load_from_file(
-        DELTA_COUNTERS_FILE,
-        base_time=now - timedelta(minutes=61),
-        metric_name_override=metric_name,
-    )
-    insert_metrics(metrics)
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    query = build_builder_query(
-        "A",
-        metric_name,
-        "rate",
-        "sum",
-        group_by=["endpoint"],
-    )
-
-    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")
-
-    # Should have 5 different endpoints
-    assert (
-        len(all_series) == 5
-    ), f"Expected 5 series for 5 endpoints, got {len(all_series)}"
-
-    # endpoint -> values
-    endpoint_values = {}
-    for series in all_series:
-        endpoint = series.get("labels", [{}])[0].get("value", "unknown")
-        values = sorted(series.get("values", []), key=lambda x: x["timestamp"])
-        endpoint_values[endpoint] = values
-
-    expected_endpoints = {"/products", "/health", "/checkout", "/orders", "/users"}
-    assert (
-        set(endpoint_values.keys()) == expected_endpoints
-    ), f"Expected endpoints {expected_endpoints}, got {set(endpoint_values.keys())}"
-
-    # at no point rate should be negative
-    for endpoint, values in endpoint_values.items():
-        for v in values:
-            assert (
-                v["value"] >= 0
-            ), f"Rate for {endpoint} should not be negative: {v['value']}"
-
-    # /health: 60 data points (t01-t60), steady +10/min
-    # rate = 10/60 = 0.167
-    health_values = endpoint_values["/health"]
-    assert (
-        len(health_values) == 60
-    ), f"Expected 60 values for /health, got {len(health_values)}"
-    count_steady_health = sum(1 for v in health_values if v["value"] == 0.167)
-    assert (
-        count_steady_health == 60
-    ), f"Expected == 60 steady rate values (0.167) for /health, got {count_steady_health}"
-    # all /health rates should be 0.167 except possibly first/last due to boundaries
-    for v in health_values[1:-1]:
-        assert v["value"] == 0.167, f"Expected /health rate 0.167, got {v['value']}"
-
-    # /products: 51 data points with 10-minute gap (t20-t29 missing), steady +20/min
-    # rate = 20/60 = 0.333, gap causes lower averaged rate at boundary
-    products_values = endpoint_values["/products"]
-    assert (
-        len(products_values) == 51
-    ), f"Expected 51 values for /products, got {len(products_values)}"
-    count_steady_products = sum(1 for v in products_values if v["value"] == 0.333)
-
-    assert (
-        count_steady_products == 51
-    ), f"Expected 51 steady rate values (0.333) for /products, got {count_steady_products}"
-
-    # /checkout: 61 data points (t00-t60), +1/min normal, +50/min spike at t40-t44
-    # normal rate = 1/60 = 0.0167, spike rate = 50/60 = 0.833
-    checkout_values = endpoint_values["/checkout"]
-    assert (
-        len(checkout_values) == 61
-    ), f"Expected 61 values for /checkout, got {len(checkout_values)}"
-    count_steady_checkout = sum(1 for v in checkout_values if v["value"] == 0.0167)
-    assert (
-        count_steady_checkout == 56
-    ), f"Expected 56 steady rate values (0.0167) for /checkout, got {count_steady_checkout}"
-    # check that spike values exist (traffic spike +50/min at t40-t44)
-    count_spike_checkout = sum(1 for v in checkout_values if v["value"] == 0.833)
-    assert (
-        count_spike_checkout == 5
-    ), f"Expected 5 spike rate values (0.833) for /checkout, got {count_spike_checkout}"
-
-    # spike values should be consecutive
-    spike_indices = [
-        i for i, v in enumerate[Any](checkout_values) if v["value"] == 0.833
-    ]
-    assert len(spike_indices) == 5, f"Expected 5 spike indices, got {spike_indices}"
-    # consecutiveness
-    for i in range(1, len(spike_indices)):
-        assert (
-            spike_indices[i] == spike_indices[i - 1] + 1
-        ), f"Spike indices should be consecutive, got {spike_indices}"
-
-    # /orders: 60 data points (t00-t60) with gap at t30, counter reset at t31 (150->2)
-    # rate = 5/60 = 0.0833
-    # reset at t31 causes: rate at t30 includes gap (lower), t31 has high rate after reset
-    orders_values = endpoint_values["/orders"]
-    assert (
-        len(orders_values) == 60
-    ), f"Expected 59 values for /orders, got {len(orders_values)}"
-    count_steady_orders = sum(1 for v in orders_values if v["value"] == 0.0833)
-    assert (
-        count_steady_orders == 58
-    ), f"Expected 58 steady rate values (0.0833) for /orders, got {count_steady_orders}"
-    # check for counter reset effects - there should be some non-standard values
-    non_standard_orders = [v["value"] for v in orders_values if v["value"] != 0.0833]
-    assert (
-        len(non_standard_orders) == 2
-    ), f"Expected 2 non-standard values due to counter reset, got {non_standard_orders}"
-    # post-reset value should be higher (new counter value / interval)
-    high_rate_orders = [v for v in non_standard_orders if v > 0.0833]
-    assert (
-        len(high_rate_orders) == 1
-    ), f"Expected one high rate value after counter reset, got {non_standard_orders}"
-
-    # /users: 56 data points (t05-t60), sparse +1 every 5 minutes (12 of them)
-    # Rate = 1/60 = 0.0167 during increment, 0 during flat periods
-    users_values = endpoint_values["/users"]
-    assert (
-        len(users_values) == 56
-    ), f"Expected 56 values for /users, got {len(users_values)}"
-    count_zero_users = sum(1 for v in users_values if v["value"] == 0)
-    # most values should be 0 (flat periods between increments)
-    assert (
-        count_zero_users == 44
-    ), f"Expected 44 zero rate values for /users (sparse data), got {count_zero_users}"
-    # non-zero values should be 0.0167 (1/60 increment rate)
-    non_zero_users = [v["value"] for v in users_values if v["value"] != 0]
-    count_increment_rate = sum(1 for v in non_zero_users if v == 0.0167)
-    assert (
-        count_increment_rate == 12
-    ), f"Expected 12 increment rate values (0.0167) for /users, got {count_increment_rate}"
--- a/tests/integration/testdata/delta_counters_1h.jsonl
+++ b/tests/integration/testdata/delta_counters_1h.jsonl
@@ -1,288 +0,0 @@
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-{"metric_name":"http.request.count","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2025-01-10T10:02:00+00:00","value":10,"temporality":"Delta","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
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