feat: add support for count based aggregation in histogram metrics (#10355)

Co-authored-by: primus-bot[bot] <171087277+primus-bot[bot]@users.noreply.github.com>

deploy/docker-swarm/docker-compose.ha.yaml

@@ -190,7 +190,7 @@ services:
       # - ../common/clickhouse/storage.xml:/etc/clickhouse-server/config.d/storage.xml
   signoz:
     !!merge <<: *db-depend
-    image: signoz/signoz:v0.112.1
+    image: signoz/signoz:v0.113.0
     ports:
       - "8080:8080" # signoz port
     #   - "6060:6060"     # pprof port
@@ -213,7 +213,7 @@ services:
       retries: 3
   otel-collector:
     !!merge <<: *db-depend
-    image: signoz/signoz-otel-collector:v0.142.1
+    image: signoz/signoz-otel-collector:v0.144.1
     entrypoint:
       - /bin/sh
     command:
@@ -241,7 +241,7 @@ services:
       replicas: 3
   signoz-telemetrystore-migrator:
     !!merge <<: *db-depend
-    image: signoz/signoz-otel-collector:${OTELCOL_TAG:-v0.142.0}
+    image: signoz/signoz-otel-collector:v0.144.1
     environment:
       - SIGNOZ_OTEL_COLLECTOR_CLICKHOUSE_DSN=tcp://clickhouse:9000
       - SIGNOZ_OTEL_COLLECTOR_CLICKHOUSE_CLUSTER=cluster

deploy/docker-swarm/docker-compose.yaml

@@ -117,7 +117,7 @@ services:
       # - ../common/clickhouse/storage.xml:/etc/clickhouse-server/config.d/storage.xml
   signoz:
     !!merge <<: *db-depend
-    image: signoz/signoz:v0.112.1
+    image: signoz/signoz:v0.113.0
     ports:
       - "8080:8080" # signoz port
     volumes:
@@ -139,7 +139,7 @@ services:
       retries: 3
   otel-collector:
     !!merge <<: *db-depend
-    image: signoz/signoz-otel-collector:v0.142.1
+    image: signoz/signoz-otel-collector:v0.144.1
     entrypoint:
       - /bin/sh
     command:
@@ -167,7 +167,7 @@ services:
       replicas: 3
   signoz-telemetrystore-migrator:
     !!merge <<: *db-depend
-    image: signoz/signoz-otel-collector:${OTELCOL_TAG:-v0.142.0}
+    image: signoz/signoz-otel-collector:v0.144.1
     environment:
       - SIGNOZ_OTEL_COLLECTOR_CLICKHOUSE_DSN=tcp://clickhouse:9000
       - SIGNOZ_OTEL_COLLECTOR_CLICKHOUSE_CLUSTER=cluster

deploy/docker/docker-compose.ha.yaml

@@ -181,7 +181,7 @@ services:
       # - ../common/clickhouse/storage.xml:/etc/clickhouse-server/config.d/storage.xml
   signoz:
     !!merge <<: *db-depend
-    image: signoz/signoz:${VERSION:-v0.112.1}
+    image: signoz/signoz:${VERSION:-v0.113.0}
     container_name: signoz
     ports:
       - "8080:8080" # signoz port
@@ -204,7 +204,7 @@ services:
       retries: 3
   otel-collector:
     !!merge <<: *db-depend
-    image: signoz/signoz-otel-collector:${OTELCOL_TAG:-v0.142.1}
+    image: signoz/signoz-otel-collector:${OTELCOL_TAG:-v0.144.1}
     container_name: signoz-otel-collector
     entrypoint:
       - /bin/sh
@@ -229,7 +229,7 @@ services:
       - "4318:4318" # OTLP HTTP receiver
   signoz-telemetrystore-migrator:
     !!merge <<: *db-depend
-    image: signoz/signoz-otel-collector:${OTELCOL_TAG:-v0.142.0}
+    image: signoz/signoz-otel-collector:${OTELCOL_TAG:-v0.144.1}
     container_name: signoz-telemetrystore-migrator
     environment:
       - SIGNOZ_OTEL_COLLECTOR_CLICKHOUSE_DSN=tcp://clickhouse:9000

deploy/docker/docker-compose.yaml

@@ -109,7 +109,7 @@ services:
       # - ../common/clickhouse/storage.xml:/etc/clickhouse-server/config.d/storage.xml
   signoz:
     !!merge <<: *db-depend
-    image: signoz/signoz:${VERSION:-v0.112.1}
+    image: signoz/signoz:${VERSION:-v0.113.0}
     container_name: signoz
     ports:
       - "8080:8080" # signoz port
@@ -132,7 +132,7 @@ services:
       retries: 3
   otel-collector:
     !!merge <<: *db-depend
-    image: signoz/signoz-otel-collector:${OTELCOL_TAG:-v0.142.1}
+    image: signoz/signoz-otel-collector:${OTELCOL_TAG:-v0.144.1}
     container_name: signoz-otel-collector
     entrypoint:
       - /bin/sh
@@ -157,7 +157,7 @@ services:
       - "4318:4318" # OTLP HTTP receiver
   signoz-telemetrystore-migrator:
     !!merge <<: *db-depend
-    image: signoz/signoz-otel-collector:${OTELCOL_TAG:-v0.142.0}
+    image: signoz/signoz-otel-collector:${OTELCOL_TAG:-v0.144.1}
     container_name: signoz-telemetrystore-migrator
     environment:
       - SIGNOZ_OTEL_COLLECTOR_CLICKHOUSE_DSN=tcp://clickhouse:9000

docs/api/openapi.yml

@@ -842,6 +842,17 @@ components:
       - temporality
       - isMonotonic
       type: object
+    MetrictypesComparisonSpaceAggregationParam:
+      properties:
+        operator:
+          type: string
+        threshold:
+          format: double
+          type: number
+      required:
+      - operator
+      - threshold
+      type: object
     MetrictypesSpaceAggregation:
       enum:
       - sum
@@ -1138,6 +1149,8 @@ components:
       type: object
     Querybuildertypesv5MetricAggregation:
       properties:
+        comparisonSpaceAggregationParam:
+          $ref: '#/components/schemas/MetrictypesComparisonSpaceAggregationParam'
         metricName:
           type: string
         reduceTo:

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

@@ -1006,6 +1006,18 @@ 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',
@@ -1367,6 +1379,7 @@ export interface Querybuildertypesv5LogAggregationDTO {
 }
 
 export interface Querybuildertypesv5MetricAggregationDTO {
+	comparisonSpaceAggregationParam?: MetrictypesComparisonSpaceAggregationParamDTO;
 	/**
 	 * @type string
 	 */

frontend/src/components/LogDetail/index.tsx

@@ -86,8 +86,13 @@ function LogDetailInner({
 		const handleClickOutside = (e: MouseEvent): void => {
 			const target = e.target as HTMLElement;
 
-			// Don't close if clicking on explicitly ignored regions
-			if (target.closest('[data-log-detail-ignore="true"]')) {
+			// Don't close if clicking on drawer content, overlays, or portal elements
+			if (
+				target.closest('[data-log-detail-ignore="true"]') ||
+				target.closest('.cm-tooltip-autocomplete') ||
+				target.closest('.drawer-popover') ||
+				target.closest('.query-status-popover')
+			) {
 				return;
 			}
 
@@ -400,7 +405,11 @@ function LogDetailInner({
 			<div className="log-detail-drawer__content" data-log-detail-ignore="true">
 				<div className="log-detail-drawer__log">
 					<Divider type="vertical" className={cx('log-type-indicator', logType)} />
-					<Tooltip title={removeEscapeCharacters(log?.body)} placement="left">
+					<Tooltip
+						title={removeEscapeCharacters(log?.body)}
+						placement="left"
+						mouseLeaveDelay={0}
+					>
 						<div className="log-body" dangerouslySetInnerHTML={htmlBody} />
 					</Tooltip>
 
@@ -466,6 +475,7 @@ function LogDetailInner({
 								title="Show Filters"
 								placement="topLeft"
 								aria-label="Show Filters"
+								mouseLeaveDelay={0}
 							>
 								<Button
 									className="action-btn"
@@ -481,6 +491,7 @@ function LogDetailInner({
 							aria-label={
 								selectedView === VIEW_TYPES.JSON ? 'Copy JSON' : 'Copy Log Link'
 							}
+							mouseLeaveDelay={0}
 						>
 							<Button
 								className="action-btn"

frontend/src/components/Logs/AddToQueryHOC.tsx

@@ -27,7 +27,11 @@ function AddToQueryHOC({
 	return (
 		// eslint-disable-next-line jsx-a11y/click-events-have-key-events, jsx-a11y/no-static-element-interactions
 		<div className={cx('addToQueryContainer', fontSize)} onClick={handleQueryAdd}>
-			<Popover placement="top" content={popOverContent}>
+			<Popover
+				overlayClassName="drawer-popover"
+				placement="top"
+				content={popOverContent}
+			>
 				{children}
 			</Popover>
 		</div>

frontend/src/components/Logs/CopyClipboardHOC.tsx

@@ -32,6 +32,7 @@ function CopyClipboardHOC({
 		<span onClick={onClick} role="presentation" tabIndex={-1}>
 			<Popover
 				placement="top"
+				overlayClassName="drawer-popover"
 				content={<span style={{ fontSize: '0.9rem' }}>{tooltipText}</span>}
 			>
 				{children}

frontend/src/components/QueryBuilderV2/QueryV2/QuerySearch/QuerySearch.tsx

@@ -1328,7 +1328,10 @@ function QuerySearch({
 			)}
 
 			<div className="query-where-clause-editor-container">
-				<Tooltip title={getTooltipContent()} placement="left">
+				<Tooltip
+					title={<div data-log-detail-ignore="true">{getTooltipContent()}</div>}
+					placement="left"
+				>
 					<a
 						href="https://signoz.io/docs/userguide/search-syntax/"
 						target="_blank"

frontend/src/container/AppLayout/index.tsx

@@ -117,7 +117,7 @@ function AppLayout(props: AppLayoutProps): JSX.Element {
 	const [showSlowApiWarning, setShowSlowApiWarning] = useState(false);
 	const [slowApiWarningShown, setSlowApiWarningShown] = useState(false);
 
-	const { latestVersion } = useSelector<AppState, AppReducer>(
+	const { currentVersion } = useSelector<AppState, AppReducer>(
 		(state) => state.app,
 	);
 
@@ -213,9 +213,9 @@ function AppLayout(props: AppLayoutProps): JSX.Element {
 		},
 		{
 			queryFn: (): Promise<SuccessResponse<ChangelogSchema> | ErrorResponse> =>
-				getChangelogByVersion(latestVersion, changelogForTenant),
-			queryKey: ['getChangelogByVersion', latestVersion, changelogForTenant],
-			enabled: isLoggedIn && Boolean(latestVersion),
+				getChangelogByVersion(currentVersion, changelogForTenant),
+			queryKey: ['getChangelogByVersion', currentVersion, changelogForTenant],
+			enabled: isLoggedIn && Boolean(currentVersion),
 		},
 	]);
 
@@ -226,7 +226,7 @@ function AppLayout(props: AppLayoutProps): JSX.Element {
 			!changelog &&
 			!getChangelogByVersionResponse.isLoading &&
 			isLoggedIn &&
-			Boolean(latestVersion)
+			Boolean(currentVersion)
 		) {
 			getChangelogByVersionResponse.refetch();
 		}
@@ -237,9 +237,9 @@ function AppLayout(props: AppLayoutProps): JSX.Element {
 		let timer: ReturnType<typeof setTimeout>;
 		if (
 			isCloudUserVal &&
-			Boolean(latestVersion) &&
+			Boolean(currentVersion) &&
 			seenChangelogVersion != null &&
-			latestVersion !== seenChangelogVersion &&
+			currentVersion !== seenChangelogVersion &&
 			daysSinceAccountCreation > MIN_ACCOUNT_AGE_FOR_CHANGELOG && // Show to only users older than 2 weeks
 			!isWorkspaceAccessRestricted
 		) {
@@ -255,7 +255,7 @@ function AppLayout(props: AppLayoutProps): JSX.Element {
 		// eslint-disable-next-line react-hooks/exhaustive-deps
 	}, [
 		isCloudUserVal,
-		latestVersion,
+		currentVersion,
 		seenChangelogVersion,
 		toggleChangelogModal,
 		isWorkspaceAccessRestricted,

frontend/src/container/LogDetailedView/BodyTitleRenderer.tsx

@@ -121,9 +121,23 @@ function BodyTitleRenderer({
 	return (
 		<TitleWrapper onClick={handleNodeClick}>
 			{typeof value !== 'object' && (
-				<Dropdown menu={menu} trigger={['click']}>
-					<SettingOutlined style={{ marginRight: 8 }} className="hover-reveal" />
-				</Dropdown>
+				<span
+					onClick={(e): void => {
+						e.stopPropagation();
+						e.preventDefault();
+					}}
+					onMouseDown={(e): void => e.preventDefault()}
+				>
+					<Dropdown
+						menu={menu}
+						trigger={['click']}
+						dropdownRender={(originNode): React.ReactNode => (
+							<div data-log-detail-ignore="true">{originNode}</div>
+						)}
+					>
+						<SettingOutlined style={{ marginRight: 8 }} className="hover-reveal" />
+					</Dropdown>
+				</span>
 			)}
 			{title.toString()}{' '}
 			{!parentIsArray && typeof value !== 'object' && (

frontend/src/container/LogDetailedView/FieldRenderer.tsx

@@ -13,7 +13,7 @@ function FieldRenderer({ field }: FieldRendererProps): JSX.Element {
 		<span className="field-renderer-container">
 			{dataType && newField && logType ? (
 				<>
-					<Tooltip placement="left" title={newField}>
+					<Tooltip placement="left" title={newField} mouseLeaveDelay={0}>
 						<Typography.Text ellipsis className="label">
 							{newField}{' '}
 						</Typography.Text>

frontend/src/container/LogDetailedView/Overview.tsx

@@ -1,7 +1,6 @@
-import { ReactNode, useCallback, useEffect, useRef, useState } from 'react';
+import { ReactNode, useState } from 'react';
 import MEditor, { EditorProps, Monaco } from '@monaco-editor/react';
 import { Color } from '@signozhq/design-tokens';
-import type { InputRef } from 'antd';
 import {
 	Button,
 	Collapse,
@@ -53,17 +52,6 @@ function Overview({
 	);
 	const [fieldSearchInput, setFieldSearchInput] = useState<string>('');
 
-	const focusTimerRef = useRef<ReturnType<typeof setTimeout>>();
-
-	const searchInputRef = useCallback((node: InputRef | null) => {
-		clearTimeout(focusTimerRef.current);
-		if (node) {
-			focusTimerRef.current = setTimeout(() => node.focus(), 100);
-		}
-	}, []);
-
-	useEffect(() => (): void => clearTimeout(focusTimerRef.current), []);
-
 	const isDarkMode = useIsDarkMode();
 
 	const options: EditorProps['options'] = {
@@ -208,7 +196,7 @@ function Overview({
 							<>
 								{isSearchVisible && (
 									<Input
-										ref={searchInputRef}
+										autoFocus
 										placeholder="Search for a field..."
 										className="search-input"
 										value={fieldSearchInput}

frontend/src/container/LogDetailedView/TableView.tsx

@@ -245,7 +245,7 @@ function TableView({
 							<Typography.Text>{renderedField}</Typography.Text>
 
 							{traceId && (
-								<Tooltip title="Inspect in Trace">
+								<Tooltip title="Inspect in Trace" mouseLeaveDelay={0}>
 									<Button
 										className="periscope-btn"
 										onClick={(

frontend/src/container/LogsExplorerList/InfinityTableView/index.tsx

@@ -139,8 +139,7 @@ const InfinityTable = forwardRef<TableVirtuosoHandle, InfinityTableProps>(
 					{tableColumns
 						.filter((column) => column.key)
 						.map((column) => {
-							const isDragColumn =
-								column.key !== 'expand' && column.key !== 'state-indicator';
+							const isDragColumn = column.key !== 'expand';
 
 							return (
 								<TableHeaderCellStyled

frontend/src/container/PipelinePage/PipelineListsView/AddNewPipeline/FormFields/FilterInput/index.tsx

@@ -1,7 +1,7 @@
 import { useTranslation } from 'react-i18next';
 import { Form } from 'antd';
 import { initialQueryBuilderFormValuesMap } from 'constants/queryBuilder';
-import QueryBuilderSearch from 'container/QueryBuilder/filters/QueryBuilderSearch';
+import QueryBuilderSearchV2 from 'container/QueryBuilder/filters/QueryBuilderSearchV2/QueryBuilderSearchV2';
 import isEqual from 'lodash-es/isEqual';
 import { TagFilter } from 'types/api/queryBuilder/queryBuilderData';
 
@@ -30,7 +30,7 @@ function TagFilterInput({
 	};
 
 	return (
-		<QueryBuilderSearch
+		<QueryBuilderSearchV2
 			query={query}
 			onChange={onQueryChange}
 			placeholder={placeholder}

frontend/src/container/PipelinePage/tests/PipelineListsView.test.tsx

@@ -86,7 +86,7 @@ jest.mock('providers/preferences/sync/usePreferenceSync', () => ({
 }));
 
 const BASE_URL = ENVIRONMENT.baseURL;
-const attributeKeysURL = `${BASE_URL}/api/v3/autocomplete/attribute_keys`;
+const attributeKeysURL = `${BASE_URL}/api/v3/filter_suggestions`;
 
 describe('PipelinePage container test', () => {
 	beforeAll(() => {
@@ -333,26 +333,34 @@ describe('PipelinePage container test', () => {
 					ctx.json({
 						status: 'success',
 						data: {
-							attributeKeys: [
+							attributes: [
 								{
 									key: 'otelServiceName',
 									dataType: DataTypes.String,
 									type: 'tag',
+									isColumn: false,
+									isJSON: false,
+								},
+								{
+									key: 'service.name',
+									dataType: DataTypes.String,
+									type: 'resource',
+									isColumn: false,
+									isJSON: false,
 								},
 								{
 									key: 'service.instance.id',
 									dataType: DataTypes.String,
 									type: 'resource',
-								},
-								{
-									key: 'service.name',
-									dataType: DataTypes.String,
-									type: 'resource',
+									isColumn: false,
+									isJSON: false,
 								},
 								{
 									key: 'service.name',
 									dataType: DataTypes.String,
 									type: 'tag',
+									isColumn: false,
+									isJSON: false,
 								},
 							],
 						},

frontend/src/container/QueryBuilder/filters/QueryBuilderSearchV2/QueryBuilderSearchV2.tsx

@@ -973,6 +973,7 @@ function QueryBuilderSearchV2(
 	return (
 		<div className="query-builder-search-v2">
 			<Select
+				data-testid={'qb-search-select'}
 				ref={selectRef}
 				// eslint-disable-next-line react/jsx-props-no-spreading
 				{...(hasPopupContainer ? { getPopupContainer: popupContainer } : {})}

frontend/src/hooks/logs/useActiveLog.ts

@@ -1,15 +1,17 @@
-import { useCallback, useMemo, useState } from 'react';
+import { useCallback, useEffect, useMemo, useRef, useState } from 'react';
 import { useQueryClient } from 'react-query';
 import { useDispatch, useSelector } from 'react-redux';
 import { useHistory, useLocation } from 'react-router-dom';
 import { getAggregateKeys } from 'api/queryBuilder/getAttributeKeys';
 import { SOMETHING_WENT_WRONG } from 'constants/api';
+import { QueryParams } from 'constants/query';
 import { OPERATORS, QueryBuilderKeys } from 'constants/queryBuilder';
 import ROUTES from 'constants/routes';
 import { MetricsType } from 'container/MetricsApplication/constant';
 import { getOperatorValue } from 'container/QueryBuilder/filters/QueryBuilderSearch/utils';
 import { useQueryBuilder } from 'hooks/queryBuilder/useQueryBuilder';
 import { useNotifications } from 'hooks/useNotifications';
+import useUrlQuery from 'hooks/useUrlQuery';
 import { getGeneratedFilterQueryString } from 'lib/getGeneratedFilterQueryString';
 import { chooseAutocompleteFromCustomValue } from 'lib/newQueryBuilder/chooseAutocompleteFromCustomValue';
 import { AppState } from 'store/reducers';
@@ -54,6 +56,20 @@ export const useActiveLog = (): UseActiveLog => {
 
 	const [activeLog, setActiveLog] = useState<ILog | null>(null);
 
+	// Close drawer/clear active log when query in URL changes
+	const urlQuery = useUrlQuery();
+	const compositeQuery = urlQuery.get(QueryParams.compositeQuery) ?? '';
+	const prevQueryRef = useRef<string | null>(null);
+	useEffect(() => {
+		if (
+			prevQueryRef.current !== null &&
+			prevQueryRef.current !== compositeQuery
+		) {
+			setActiveLog(null);
+		}
+		prevQueryRef.current = compositeQuery;
+	}, [compositeQuery]);
+
 	const onSetDetailedLogData = useCallback(
 		(logData: ILog) => {
 			dispatch({

pkg/modules/promote/implpromote/module.go

@@ -87,7 +87,7 @@ func (m *module) ListPromotedAndIndexedPaths(ctx context.Context) ([]promotetype
 }
 
 func (m *module) listPromotedPaths(ctx context.Context) ([]string, error) {
-	paths, err := m.metadataStore.ListPromotedPaths(ctx)
+	paths, err := m.metadataStore.GetPromotedPaths(ctx)
 	if err != nil {
 		return nil, err
 	}
@@ -142,7 +142,7 @@ func (m *module) PromoteAndIndexPaths(
 		pathsStr = append(pathsStr, path.Path)
 	}
 
-	existingPromotedPaths, err := m.metadataStore.ListPromotedPaths(ctx, pathsStr...)
+	existingPromotedPaths, err := m.metadataStore.GetPromotedPaths(ctx, pathsStr...)
 	if err != nil {
 		return err
 	}

pkg/querier/builder_query.go

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

pkg/querier/querier.go

@@ -276,15 +276,17 @@ 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, err = q.metadataStore.FetchTemporalityMulti(ctx, req.Start, req.End, metricNames...)
+		metricTemporality, metricTypes, err = q.metadataStore.FetchTemporalityAndTypeMulti(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", "metric_temporality", metricTemporality)
+		q.logger.DebugContext(ctx, "fetched metric temporalities and types", "metric_temporality", metricTemporality, "metric_types", metricTypes)
 	}
 
 	queries := make(map[string]qbtypes.Query)
@@ -380,6 +382,12 @@ 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/telemetrymetadata/body_json_metadata.go

@@ -10,7 +10,6 @@ import (
 	"github.com/ClickHouse/clickhouse-go/v2/lib/chcol"
 	schemamigrator "github.com/SigNoz/signoz-otel-collector/cmd/signozschemamigrator/schema_migrator"
 	"github.com/SigNoz/signoz-otel-collector/constants"
-	"github.com/SigNoz/signoz-otel-collector/utils"
 	"github.com/SigNoz/signoz/pkg/errors"
 	"github.com/SigNoz/signoz/pkg/querybuilder"
 	"github.com/SigNoz/signoz/pkg/telemetrylogs"
@@ -113,7 +112,7 @@ func (t *telemetryMetaStore) buildBodyJSONPaths(ctx context.Context,
 
 	for _, fieldKey := range fieldKeys {
 		promotedKey := strings.Split(fieldKey.Name, telemetrytypes.ArraySep)[0]
-		fieldKey.Materialized = promoted.Contains(promotedKey)
+		fieldKey.Materialized = promoted[promotedKey]
 		fieldKey.Indexes = indexes[fieldKey.Name]
 	}
 
@@ -295,33 +294,6 @@ func (t *telemetryMetaStore) ListLogsJSONIndexes(ctx context.Context, filters ..
 	return indexes, nil
 }
 
-func (t *telemetryMetaStore) ListPromotedPaths(ctx context.Context, paths ...string) (map[string]struct{}, error) {
-	sb := sqlbuilder.Select("path").From(fmt.Sprintf("%s.%s", DBName, PromotedPathsTableName))
-	pathConditions := []string{}
-	for _, path := range paths {
-		pathConditions = append(pathConditions, sb.Equal("path", path))
-	}
-	sb.Where(sb.Or(pathConditions...))
-	query, args := sb.BuildWithFlavor(sqlbuilder.ClickHouse)
-
-	rows, err := t.telemetrystore.ClickhouseDB().Query(ctx, query, args...)
-	if err != nil {
-		return nil, errors.WrapInternalf(err, CodeFailLoadPromotedPaths, "failed to load promoted paths")
-	}
-	defer rows.Close()
-
-	next := make(map[string]struct{})
-	for rows.Next() {
-		var path string
-		if err := rows.Scan(&path); err != nil {
-			return nil, errors.WrapInternalf(err, CodeFailLoadPromotedPaths, "failed to scan promoted path")
-		}
-		next[path] = struct{}{}
-	}
-
-	return next, nil
-}
-
 // TODO(Piyush): Remove this if not used in future
 func (t *telemetryMetaStore) ListJSONValues(ctx context.Context, path string, limit int) (*telemetrytypes.TelemetryFieldValues, bool, error) {
 	path = CleanPathPrefixes(path)
@@ -484,11 +456,12 @@ func derefValue(v any) any {
 	return val.Interface()
 }
 
-// IsPathPromoted checks if a specific path is promoted
+// IsPathPromoted checks if a specific path is promoted (Column Evolution table: field_name for logs body).
 func (t *telemetryMetaStore) IsPathPromoted(ctx context.Context, path string) (bool, error) {
 	split := strings.Split(path, telemetrytypes.ArraySep)
-	query := fmt.Sprintf("SELECT 1 FROM %s.%s WHERE path = ? LIMIT 1", DBName, PromotedPathsTableName)
-	rows, err := t.telemetrystore.ClickhouseDB().Query(ctx, query, split[0])
+	pathSegment := split[0]
+	query := fmt.Sprintf("SELECT 1 FROM %s.%s WHERE signal = ? AND column_name = ? AND field_context = ? AND field_name = ? LIMIT 1", DBName, PromotedPathsTableName)
+	rows, err := t.telemetrystore.ClickhouseDB().Query(ctx, query, telemetrytypes.SignalLogs, telemetrylogs.LogsV2BodyPromotedColumn, telemetrytypes.FieldContextBody, pathSegment)
 	if err != nil {
 		return false, errors.WrapInternalf(err, CodeFailCheckPathPromoted, "failed to check if path %s is promoted", path)
 	}
@@ -497,15 +470,24 @@ func (t *telemetryMetaStore) IsPathPromoted(ctx context.Context, path string) (b
 	return rows.Next(), nil
 }
 
-// GetPromotedPaths checks if a specific path is promoted
-func (t *telemetryMetaStore) GetPromotedPaths(ctx context.Context, paths ...string) (*utils.ConcurrentSet[string], error) {
-	sb := sqlbuilder.Select("path").From(fmt.Sprintf("%s.%s", DBName, PromotedPathsTableName))
-	pathConditions := []string{}
-	for _, path := range paths {
-		split := strings.Split(path, telemetrytypes.ArraySep)
-		pathConditions = append(pathConditions, sb.Equal("path", split[0]))
+// GetPromotedPaths returns promoted paths from the Column Evolution table (field_name for logs body).
+func (t *telemetryMetaStore) GetPromotedPaths(ctx context.Context, paths ...string) (map[string]bool, error) {
+	sb := sqlbuilder.Select("field_name").From(fmt.Sprintf("%s.%s", DBName, PromotedPathsTableName))
+	conditions := []string{
+		sb.Equal("signal", telemetrytypes.SignalLogs),
+		sb.Equal("column_name", telemetrylogs.LogsV2BodyPromotedColumn),
+		sb.Equal("field_context", telemetrytypes.FieldContextBody),
+		sb.NotEqual("field_name", "__all__"),
 	}
-	sb.Where(sb.Or(pathConditions...))
+	if len(paths) > 0 {
+		pathArgs := make([]interface{}, len(paths))
+		for i, path := range paths {
+			split := strings.Split(path, telemetrytypes.ArraySep)
+			pathArgs[i] = split[0]
+		}
+		conditions = append(conditions, sb.In("field_name", pathArgs))
+	}
+	sb.Where(sb.And(conditions...))
 
 	query, args := sb.BuildWithFlavor(sqlbuilder.ClickHouse)
 	rows, err := t.telemetrystore.ClickhouseDB().Query(ctx, query, args...)
@@ -514,13 +496,13 @@ func (t *telemetryMetaStore) GetPromotedPaths(ctx context.Context, paths ...stri
 	}
 	defer rows.Close()
 
-	promotedPaths := utils.NewConcurrentSet[string]()
+	promotedPaths := make(map[string]bool)
 	for rows.Next() {
-		var path string
-		if err := rows.Scan(&path); err != nil {
+		var fieldName string
+		if err := rows.Scan(&fieldName); err != nil {
 			return nil, errors.WrapInternalf(err, CodeFailCheckPathPromoted, "failed to scan promoted path")
 		}
-		promotedPaths.Insert(path)
+		promotedPaths[fieldName] = true
 	}
 
 	return promotedPaths, nil
@@ -534,21 +516,22 @@ func CleanPathPrefixes(path string) string {
 	return path
 }
 
+// PromotePaths inserts promoted paths into the Column Evolution table (same schema as signoz-otel-collector metadata_migrations).
 func (t *telemetryMetaStore) PromotePaths(ctx context.Context, paths ...string) error {
 	batch, err := t.telemetrystore.ClickhouseDB().PrepareBatch(ctx,
-		fmt.Sprintf("INSERT INTO %s.%s (path, created_at) VALUES", DBName,
+		fmt.Sprintf("INSERT INTO %s.%s (signal, column_name, column_type, field_context, field_name, version, release_time) VALUES", DBName,
 			PromotedPathsTableName))
 	if err != nil {
 		return errors.WrapInternalf(err, CodeFailedToPrepareBatch, "failed to prepare batch")
 	}
 
-	nowMs := uint64(time.Now().UnixMilli())
+	releaseTime := time.Now().UnixNano()
 	for _, p := range paths {
 		trimmed := strings.TrimSpace(p)
 		if trimmed == "" {
 			continue
 		}
-		if err := batch.Append(trimmed, nowMs); err != nil {
+		if err := batch.Append(telemetrytypes.SignalLogs, telemetrylogs.LogsV2BodyPromotedColumn, "JSON()", telemetrytypes.FieldContextBody, trimmed, 0, releaseTime); err != nil {
 			_ = batch.Abort()
 			return errors.WrapInternalf(err, CodeFailedToAppendPath, "failed to append path")
 		}

pkg/telemetrymetadata/metadata.go

@@ -1616,40 +1616,52 @@ 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), nil
+		return make(map[string]metrictypes.Temporality), make(map[string]metrictypes.Type), nil
 	}
 
-	result := make(map[string]metrictypes.Temporality)
-	metricsTemporality, err := t.fetchMetricsTemporality(ctx, queryTimeRangeStartTs, queryTimeRangeEndTs, metricNames...)
+	temporalities := make(map[string]metrictypes.Temporality)
+	types := make(map[string]metrictypes.Type)
+	metricsTemporality, metricTypes, err := t.fetchMetricsTemporalityAndType(ctx, queryTimeRangeStartTs, queryTimeRangeEndTs, metricNames...)
 	if err != nil {
-		return nil, err
+		return nil, nil, err
 	}
 	// TODO: return error after table migration are run
-	meterMetricsTemporality, _ := t.fetchMeterSourceMetricsTemporality(ctx, metricNames...)
+	meterMetricsTemporality, meterMetricsTypes, _ := t.fetchMeterSourceMetricsTemporalityAndType(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 {
-				result[metricName] = metrictypes.Multiple
+				temporalities[metricName] = metrictypes.Multiple
 			} else {
-				result[metricName] = temporality[0]
+				temporalities[metricName] = temporality[0]
 			}
-			continue
+		} else if temporality, exists := meterMetricsTemporality[metricName]; exists {
+			temporalities[metricName] = temporality
+		} else {
+			temporalities[metricName] = metrictypes.Unknown
 		}
-		if temporality, exists := meterMetricsTemporality[metricName]; exists {
-			result[metricName] = temporality
-			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
 		}
-		result[metricName] = metrictypes.Unknown
 	}
 
-	return result, nil
+	return temporalities, types, nil
 }
 
-func (t *telemetryMetaStore) fetchMetricsTemporality(ctx context.Context, queryTimeRangeStartTs, queryTimeRangeEndTs uint64, metricNames ...string) (map[string][]metrictypes.Temporality, error) {
-	result := make(map[string][]metrictypes.Temporality)
+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)
 
 	adjustedStartTs, adjustedEndTs, tsTableName, _ := telemetrymetrics.WhichTSTableToUse(queryTimeRangeStartTs, queryTimeRangeEndTs, nil)
 
@@ -1660,6 +1672,8 @@ func (t *telemetryMetaStore) fetchMetricsTemporality(ctx context.Context, queryT
 	sb := sqlbuilder.Select(
 		"metric_name",
 		"temporality",
+		"any(type) AS type",
+		"any(is_monotonic) as is_monotonic",
 	).
 		From(t.metricsDBName + "." + tsTableName)
 
@@ -1678,47 +1692,42 @@ func (t *telemetryMetaStore) fetchMetricsTemporality(ctx context.Context, queryT
 
 	rows, err := t.telemetrystore.ClickhouseDB().Query(ctx, query, args...)
 	if err != nil {
-		return nil, errors.Wrapf(err, errors.TypeInternal, errors.CodeInternal, "failed to fetch metric temporality")
+		return nil, nil, errors.Wrapf(err, errors.TypeInternal, errors.CodeInternal, "failed to fetch metric temporality")
 	}
 	defer rows.Close()
 
 	// Process results
 	for rows.Next() {
-		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 metricName string
 		var temporality metrictypes.Temporality
-		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
+		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")
 		}
 		if temporality != metrictypes.Unknown {
-			result[metricName] = append(result[metricName], temporality)
+			temporalities[metricName] = append(temporalities[metricName], temporality)
 		}
+		if metricType == metrictypes.SumType && !isMonotonic {
+			metricType = metrictypes.GaugeType
+		}
+		types[metricName] = metricType
 	}
 	if err := rows.Err(); err != nil {
-		return nil, errors.Wrapf(err, errors.TypeInternal, errors.CodeInternal, "error iterating over metrics temporality rows")
+		return nil, nil, errors.Wrapf(err, errors.TypeInternal, errors.CodeInternal, "error iterating over metrics temporality rows")
 	}
 
-	return result, nil
+	return temporalities, types, nil
 }
 
-func (t *telemetryMetaStore) fetchMeterSourceMetricsTemporality(ctx context.Context, metricNames ...string) (map[string]metrictypes.Temporality, error) {
-	result := make(map[string]metrictypes.Temporality)
+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)
 
 	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)
@@ -1733,35 +1742,27 @@ func (t *telemetryMetaStore) fetchMeterSourceMetricsTemporality(ctx context.Cont
 
 	rows, err := t.telemetrystore.ClickhouseDB().Query(ctx, query, args...)
 	if err != nil {
-		return nil, errors.Wrapf(err, errors.TypeInternal, errors.CodeInternal, "failed to fetch meter metric temporality")
+		return nil, 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 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 metricName string
 		var temporality metrictypes.Temporality
-		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
+		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")
 		}
-
-		result[metricName] = temporality
+		if metricType == metrictypes.SumType && !isMonotonic {
+			metricType = metrictypes.GaugeType
+		}
+		temporalities[metricName] = temporality
+		types[metricName] = metricType
 	}
 
-	return result, nil
+	return temporalities, types, nil
 }
 
 // chunkSizeFirstSeenMetricMetadata limits the number of tuples per SQL query to avoid hitting the max_query_size limit.

pkg/telemetrymetadata/tables.go

@@ -7,6 +7,7 @@ const (
 	AttributesMetadataTableName      = "distributed_attributes_metadata"
 	AttributesMetadataLocalTableName = "attributes_metadata"
 	PathTypesTableName               = otelcollectorconst.DistributedPathTypesTable
-	PromotedPathsTableName           = otelcollectorconst.DistributedPromotedPathsTable
+	// Column Evolution table stores promoted paths as (signal, column_name, field_context, field_name); see signoz-otel-collector metadata_migrations.
+	PromotedPathsTableName           = "distributed_column_evolution_metadata"
 	SkipIndexTableName               = "system.data_skipping_indices"
 )

pkg/telemetrymetrics/statement_builder.go

@@ -123,8 +123,7 @@ func (b *MetricQueryStatementBuilder) buildPipelineStatement(
 	origTimeAgg := query.Aggregations[0].TimeAggregation
 	origGroupBy := slices.Clone(query.GroupBy)
 
-	if query.Aggregations[0].SpaceAggregation.IsPercentile() &&
-		query.Aggregations[0].Type != metrictypes.ExpHistogramType {
+	if query.Aggregations[0].Type == metrictypes.HistogramType {
 		// add le in the group by if doesn't exist
 		leExists := false
 		for _, g := range query.GroupBy {
@@ -154,7 +153,11 @@ func (b *MetricQueryStatementBuilder) buildPipelineStatement(
 		}
 
 		// make the time aggregation rate and space aggregation sum
-		query.Aggregations[0].TimeAggregation = metrictypes.TimeAggregationRate
+		if query.Aggregations[0].SpaceAggregation.IsPercentile() {
+			query.Aggregations[0].TimeAggregation = metrictypes.TimeAggregationRate
+		} else {
+			query.Aggregations[0].TimeAggregation = metrictypes.TimeAggregationIncrease
+		}
 		query.Aggregations[0].SpaceAggregation = metrictypes.SpaceAggregationSum
 	}
 
@@ -551,6 +554,9 @@ 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
@@ -560,12 +566,8 @@ func (b *MetricQueryStatementBuilder) BuildFinalSelect(
 
 	sb := sqlbuilder.NewSelectBuilder()
 
-	var quantile float64
-	if query.Aggregations[0].SpaceAggregation.IsPercentile() {
-		quantile = query.Aggregations[0].SpaceAggregation.Percentile()
-	}
-
-	if quantile != 0 && query.Aggregations[0].Type != metrictypes.ExpHistogramType {
+	if metricType == metrictypes.HistogramType && spaceAgg.IsPercentile() {
+		quantile := query.Aggregations[0].SpaceAggregation.Percentile()
 		sb.Select("ts")
 		for _, g := range query.GroupBy {
 			sb.SelectMore(fmt.Sprintf("`%s`", g.TelemetryFieldKey.Name))
@@ -577,12 +579,36 @@ 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 != "" {
@@ -593,6 +619,9 @@ 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

@@ -1,6 +1,7 @@
 package telemetrymetrics
 
 import (
+	"fmt"
 	"time"
 
 	"github.com/SigNoz/signoz/pkg/errors"
@@ -308,3 +309,20 @@ 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

@@ -2,6 +2,7 @@ package metrictypes
 
 import (
 	"database/sql/driver"
+	"fmt"
 	"strings"
 
 	"github.com/SigNoz/signoz/pkg/errors"
@@ -256,3 +257,12 @@ 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)
+}

pkg/types/querybuildertypes/querybuildertypesv5/builder_elements.go

@@ -446,6 +446,8 @@ 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/telemetrytypes/store.go

@@ -32,11 +32,13 @@ 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)
 
 	// ListPromotedPaths lists the promoted paths.
-	ListPromotedPaths(ctx context.Context, paths ...string) (map[string]struct{}, error)
+	GetPromotedPaths(ctx context.Context, paths ...string) (map[string]bool, error)
 
 	// PromotePaths promotes the paths.
 	PromotePaths(ctx context.Context, paths ...string) error

pkg/types/telemetrytypes/telemetrytypestest/metadata_store.go

@@ -16,7 +16,8 @@ type MockMetadataStore struct {
 	RelatedValuesMap   map[string][]string
 	AllValuesMap       map[string]*telemetrytypes.TelemetryFieldValues
 	TemporalityMap     map[string]metrictypes.Temporality
-	PromotedPathsMap   map[string]struct{}
+	TypeMap            map[string]metrictypes.Type
+	PromotedPathsMap   map[string]bool
 	LogsJSONIndexesMap map[string][]schemamigrator.Index
 	LookupKeysMap      map[telemetrytypes.MetricMetadataLookupKey]int64
 }
@@ -28,7 +29,8 @@ func NewMockMetadataStore() *MockMetadataStore {
 		RelatedValuesMap:   make(map[string][]string),
 		AllValuesMap:       make(map[string]*telemetrytypes.TelemetryFieldValues),
 		TemporalityMap:     make(map[string]metrictypes.Temporality),
-		PromotedPathsMap:   make(map[string]struct{}),
+		TypeMap:            make(map[string]metrictypes.Type),
+		PromotedPathsMap:   make(map[string]bool),
 		LogsJSONIndexesMap: make(map[string][]schemamigrator.Index),
 		LookupKeysMap:      make(map[telemetrytypes.MetricMetadataLookupKey]int64),
 	}
@@ -287,6 +289,27 @@ 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
@@ -295,13 +318,13 @@ func (m *MockMetadataStore) SetTemporality(metricName string, temporality metric
 // PromotePaths promotes the paths.
 func (m *MockMetadataStore) PromotePaths(ctx context.Context, paths ...string) error {
 	for _, path := range paths {
-		m.PromotedPathsMap[path] = struct{}{}
+		m.PromotedPathsMap[path] = true
 	}
 	return nil
 }
 
-// ListPromotedPaths lists the promoted paths.
-func (m *MockMetadataStore) ListPromotedPaths(ctx context.Context, paths ...string) (map[string]struct{}, error) {
+// GetPromotedPaths returns the promoted paths.
+func (m *MockMetadataStore) GetPromotedPaths(ctx context.Context, paths ...string) (map[string]bool, error) {
 	return m.PromotedPathsMap, nil
 }
 

tests/integration/fixtures/querier.py

@@ -52,6 +52,7 @@ 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,
@@ -74,7 +75,8 @@ 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=600),
+        base_time=now - timedelta(minutes=1441),
         metric_name_override=metric_name,
     )
     insert_metrics(metrics)

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

@@ -0,0 +1,322 @@
+"""
+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 = "test_one_endpoint_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 = "test_one_service_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 = "test_delta_service_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 = "test_all_services_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 = "test_count_no_param_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

@@ -0,0 +1,141 @@
+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_{time_agg}_{space_agg}_{service}_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_{time_agg}_{space_agg}_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/src/querier/10_metrics_rate_delta_counter.py

@@ -0,0 +1,220 @@
+"""
+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}"

tests/integration/testdata/delta_counters_1h.jsonl

@@ -0,0 +1,288 @@
+{"metric_name":"http.request.count","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2025-01-10T10:01:00+00:00","value":10,"temporality":"Delta","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
+{"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":{}}
+{"metric_name":"http.request.count","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2025-01-10T10:03:00+00:00","value":10,"temporality":"Delta","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
+{"metric_name":"http.request.count","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2025-01-10T10:04:00+00:00","value":10,"temporality":"Delta","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
+{"metric_name":"http.request.count","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2025-01-10T10:05:00+00:00","value":10,"temporality":"Delta","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
+{"metric_name":"http.request.count","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2025-01-10T10:06:00+00:00","value":10,"temporality":"Delta","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
+{"metric_name":"http.request.count","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2025-01-10T10:07:00+00:00","value":10,"temporality":"Delta","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
+{"metric_name":"http.request.count","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2025-01-10T10:08:00+00:00","value":10,"temporality":"Delta","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
+{"metric_name":"http.request.count","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2025-01-10T10:09:00+00:00","value":10,"temporality":"Delta","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
+{"metric_name":"http.request.count","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2025-01-10T10:10:00+00:00","value":10,"temporality":"Delta","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
+{"metric_name":"http.request.count","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2025-01-10T10:11:00+00:00","value":10,"temporality":"Delta","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
+{"metric_name":"http.request.count","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2025-01-10T10:12:00+00:00","value":10,"temporality":"Delta","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
+{"metric_name":"http.request.count","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2025-01-10T10:13:00+00:00","value":10,"temporality":"Delta","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
+{"metric_name":"http.request.count","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2025-01-10T10:14:00+00:00","value":10,"temporality":"Delta","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
+{"metric_name":"http.request.count","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2025-01-10T10:15:00+00:00","value":10,"temporality":"Delta","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
+{"metric_name":"http.request.count","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2025-01-10T10:16:00+00:00","value":10,"temporality":"Delta","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
+{"metric_name":"http.request.count","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2025-01-10T10:17:00+00:00","value":10,"temporality":"Delta","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
+{"metric_name":"http.request.count","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2025-01-10T10:18:00+00:00","value":10,"temporality":"Delta","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
+{"metric_name":"http.request.count","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2025-01-10T10:19:00+00:00","value":10,"temporality":"Delta","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
+{"metric_name":"http.request.count","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2025-01-10T10:20:00+00:00","value":10,"temporality":"Delta","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
+{"metric_name":"http.request.count","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2025-01-10T10:21:00+00:00","value":10,"temporality":"Delta","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
+{"metric_name":"http.request.count","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2025-01-10T10:22:00+00:00","value":10,"temporality":"Delta","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
+{"metric_name":"http.request.count","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2025-01-10T10:23:00+00:00","value":10,"temporality":"Delta","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
+{"metric_name":"http.request.count","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2025-01-10T10:24:00+00:00","value":10,"temporality":"Delta","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
+{"metric_name":"http.request.count","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2025-01-10T10:25:00+00:00","value":10,"temporality":"Delta","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
+{"metric_name":"http.request.count","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2025-01-10T10:26:00+00:00","value":10,"temporality":"Delta","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
+{"metric_name":"http.request.count","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2025-01-10T10:27:00+00:00","value":10,"temporality":"Delta","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
+{"metric_name":"http.request.count","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2025-01-10T10:28:00+00:00","value":10,"temporality":"Delta","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
+{"metric_name":"http.request.count","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2025-01-10T10:29:00+00:00","value":10,"temporality":"Delta","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
+{"metric_name":"http.request.count","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2025-01-10T10:30:00+00:00","value":10,"temporality":"Delta","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
+{"metric_name":"http.request.count","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2025-01-10T10:31:00+00:00","value":10,"temporality":"Delta","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
+{"metric_name":"http.request.count","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2025-01-10T10:32:00+00:00","value":10,"temporality":"Delta","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
+{"metric_name":"http.request.count","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2025-01-10T10:33:00+00:00","value":10,"temporality":"Delta","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
+{"metric_name":"http.request.count","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2025-01-10T10:34:00+00:00","value":10,"temporality":"Delta","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
+{"metric_name":"http.request.count","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2025-01-10T10:35:00+00:00","value":10,"temporality":"Delta","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
+{"metric_name":"http.request.count","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2025-01-10T10:36:00+00:00","value":10,"temporality":"Delta","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
+{"metric_name":"http.request.count","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2025-01-10T10:37:00+00:00","value":10,"temporality":"Delta","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
+{"metric_name":"http.request.count","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2025-01-10T10:38:00+00:00","value":10,"temporality":"Delta","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
+{"metric_name":"http.request.count","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2025-01-10T10:39:00+00:00","value":10,"temporality":"Delta","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
+{"metric_name":"http.request.count","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2025-01-10T10:40:00+00:00","value":10,"temporality":"Delta","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
+{"metric_name":"http.request.count","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2025-01-10T10:41:00+00:00","value":10,"temporality":"Delta","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
+{"metric_name":"http.request.count","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2025-01-10T10:42:00+00:00","value":10,"temporality":"Delta","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
+{"metric_name":"http.request.count","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2025-01-10T10:43:00+00:00","value":10,"temporality":"Delta","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
+{"metric_name":"http.request.count","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2025-01-10T10:44:00+00:00","value":10,"temporality":"Delta","type_":"Sum","is_monotonic":true,"flags":0,"description":"","unit":"","env":"default","resource_attrs":{},"scope_attrs":{}}
+{"metric_name":"http.request.count","labels":{"service":"api","endpoint":"/health","status_code":"200"},"timestamp":"2025-01-10T10:45:00+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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