feat(7274): added flags column to remove invalid nan values

* feat: new dropdown styles

* fix: added new tag

* feat: added endpoint name and port in endpoint details

* feat: endpoint details feedback

* feat: analytics added

* fix: title fixed

* fix: domain list breaking for non available data

* feat: added third party api feature flag

* fix: console removed

* feat: added traces corelation in api monitoring charts

* feat: added customondragselect in grid card full view to handle breaking flow

* fix: minor failsafes added:

* fix: minor ux fix

* feat: incorporated pr comments - 0

.gitignore

@@ -54,6 +54,7 @@ ee/query-service/tests/test-deploy/data/
 bin/
 .local/
 */query-service/queries.active
+ee/query-service/db
 
 # e2e
 

CONTRIBUTING.md

@@ -77,4 +77,4 @@ Need assistance? Join our Slack community:
 ## Where do I go from here?
 
 - Set up your [development environment](docs/contributing/development.md)
-- Deploy and observe [SigNoz in action with OpenTelemetry Demo Application](docs/otel-demo/otel-demo-docs.md)
+- Deploy and observe [SigNoz in action with OpenTelemetry Demo Application](docs/otel-demo-docs.md)

ee/query-service/anomaly/seasonal.go

@@ -313,6 +313,9 @@ func (p *BaseSeasonalProvider) getScore(
 	series, prevSeries, weekSeries, weekPrevSeries, past2SeasonSeries, past3SeasonSeries *v3.Series, value float64, idx int,
 ) float64 {
 	expectedValue := p.getExpectedValue(series, prevSeries, weekSeries, weekPrevSeries, past2SeasonSeries, past3SeasonSeries, idx)
+	if expectedValue < 0 {
+		expectedValue = p.getMovingAvg(prevSeries, movingAvgWindowSize, idx)
+	}
 	return (value - expectedValue) / p.getStdDev(weekSeries)
 }
 

ee/query-service/main.go

@@ -7,12 +7,14 @@ import (
 	"time"
 
 	"github.com/SigNoz/signoz/ee/query-service/app"
+	"github.com/SigNoz/signoz/ee/sqlstore/postgressqlstore"
 	"github.com/SigNoz/signoz/pkg/config"
 	"github.com/SigNoz/signoz/pkg/config/envprovider"
 	"github.com/SigNoz/signoz/pkg/config/fileprovider"
 	"github.com/SigNoz/signoz/pkg/query-service/auth"
 	baseconst "github.com/SigNoz/signoz/pkg/query-service/constants"
 	"github.com/SigNoz/signoz/pkg/signoz"
+	"github.com/SigNoz/signoz/pkg/sqlstore/sqlstorehook"
 	"github.com/SigNoz/signoz/pkg/types/authtypes"
 	"github.com/SigNoz/signoz/pkg/version"
 
@@ -94,12 +96,17 @@ func main() {
 
 	version.Info.PrettyPrint(config.Version)
 
+	sqlStoreFactories := signoz.NewSQLStoreProviderFactories()
+	if err := sqlStoreFactories.Add(postgressqlstore.NewFactory(sqlstorehook.NewLoggingFactory())); err != nil {
+		zap.L().Fatal("Failed to add postgressqlstore factory", zap.Error(err))
+	}
+
 	signoz, err := signoz.New(
 		context.Background(),
 		config,
 		signoz.NewCacheProviderFactories(),
 		signoz.NewWebProviderFactories(),
-		signoz.NewSQLStoreProviderFactories(),
+		sqlStoreFactories,
 		signoz.NewTelemetryStoreProviderFactories(),
 	)
 	if err != nil {

ee/query-service/model/plans.go

@@ -157,6 +157,13 @@ var BasicPlan = basemodel.FeatureSet{
 		UsageLimit: -1,
 		Route:      "",
 	},
+	basemodel.Feature{
+		Name:       basemodel.TraceFunnels,
+		Active:     false,
+		Usage:      0,
+		UsageLimit: -1,
+		Route:      "",
+	},
 }
 
 var ProPlan = basemodel.FeatureSet{
@@ -279,6 +286,13 @@ var ProPlan = basemodel.FeatureSet{
 		UsageLimit: -1,
 		Route:      "",
 	},
+	basemodel.Feature{
+		Name:       basemodel.TraceFunnels,
+		Active:     false,
+		Usage:      0,
+		UsageLimit: -1,
+		Route:      "",
+	},
 }
 
 var EnterprisePlan = basemodel.FeatureSet{
@@ -415,4 +429,11 @@ var EnterprisePlan = basemodel.FeatureSet{
 		UsageLimit: -1,
 		Route:      "",
 	},
+	basemodel.Feature{
+		Name:       basemodel.TraceFunnels,
+		Active:     false,
+		Usage:      0,
+		UsageLimit: -1,
+		Route:      "",
+	},
 }

frontend/public/locales/en/titles.json

@@ -60,10 +60,14 @@
 	"INTEGRATIONS": "SigNoz | Integrations",
 	"ALERT_HISTORY": "SigNoz | Alert Rule History",
 	"ALERT_OVERVIEW": "SigNoz | Alert Rule Overview",
-	"MESSAGING_QUEUES": "SigNoz | Messaging Queues",
+	"MESSAGING_QUEUES_OVERVIEW": "SigNoz | Messaging Queues",
+	"MESSAGING_QUEUES_KAFKA": "SigNoz | Messaging Queues | Kafka",
+	"MESSAGING_QUEUES_KAFKA_DETAIL": "SigNoz | Messaging Queues | Kafka",
+	"MESSAGING_QUEUES_CELERY_TASK": "SigNoz | Messaging Queues | Celery",
 	"INFRASTRUCTURE_MONITORING_HOSTS": "SigNoz | Infra Monitoring",
 	"INFRASTRUCTURE_MONITORING_KUBERNETES": "SigNoz | Infra Monitoring",
 	"METRICS_EXPLORER": "SigNoz | Metrics Explorer",
 	"METRICS_EXPLORER_EXPLORER": "SigNoz | Metrics Explorer",
-	"METRICS_EXPLORER_VIEWS": "SigNoz | Metrics Explorer"
+	"METRICS_EXPLORER_VIEWS": "SigNoz | Metrics Explorer",
+	"API_MONITORING": "SigNoz | API Monitoring"
 }

frontend/src/components/CeleryOverview/CeleryOverviewTable/CeleryOverviewTable.tsx

@@ -521,7 +521,7 @@ export default function CeleryOverviewTable({
 				locale={{
 					emptyText: isLoading ? null : <Typography.Text>No data</Typography.Text>,
 				}}
-				scroll={{ x: true }}
+				scroll={{ x: 'max-content' }}
 				showSorterTooltip
 				onDragColumn={handleDragColumn}
 				onRow={(record): { onClick: () => void; className: string } => ({

frontend/src/components/Logs/CopyClipboardHOC.tsx

@@ -18,6 +18,7 @@ function CopyClipboardHOC({
 
 			notifications.success({
 				message: notificationMessage,
+				key: notificationMessage,
 			});
 		}
 	}, [value, notifications, entityKey]);

frontend/src/components/ResizeTable/ResizableHeader.tsx

@@ -1,3 +1,5 @@
+import './ResizeTable.styles.scss';
+
 import { SyntheticEvent, useMemo } from 'react';
 import { Resizable, ResizeCallbackData } from 'react-resizable';
 
@@ -10,8 +12,8 @@ function ResizableHeader(props: ResizableHeaderProps): JSX.Element {
 	const handle = useMemo(
 		() => (
 			<SpanStyle
-				className="react-resizable-handle"
 				onClick={(e): void => e.stopPropagation()}
+				className="resize-handle"
 			/>
 		),
 		[],
@@ -19,7 +21,7 @@ function ResizableHeader(props: ResizableHeaderProps): JSX.Element {
 
 	if (!width) {
 		// eslint-disable-next-line react/jsx-props-no-spreading
-		return <th {...restProps} />;
+		return <th {...restProps} className="resizable-header" />;
 	}
 
 	return (
@@ -29,9 +31,10 @@ function ResizableHeader(props: ResizableHeaderProps): JSX.Element {
 			handle={handle}
 			onResize={onResize}
 			draggableOpts={enableUserSelectHack}
+			minConstraints={[150, 0]}
 		>
 			{/* eslint-disable-next-line react/jsx-props-no-spreading */}
-			<th {...restProps} />
+			<th {...restProps} className="resizable-header" />
 		</Resizable>
 	);
 }

frontend/src/components/ResizeTable/ResizeTable.styles.scss

@@ -0,0 +1,53 @@
+.resizable-header {
+	user-select: none;
+	-webkit-user-select: none;
+	-moz-user-select: none;
+	-ms-user-select: none;
+	position: relative;
+
+	.ant-table-column-title {
+		white-space: normal;
+		overflow: hidden;
+		text-overflow: ellipsis;
+	}
+}
+
+.resize-main-table {
+	.ant-table-body {
+		.ant-table-tbody {
+			.ant-table-row {
+				.ant-table-cell {
+					.ant-typography {
+						white-space: unset;
+					}
+				}
+			}
+		}
+	}
+}
+
+.logs-table,
+.traces-table {
+	.resize-table {
+		.resize-handle {
+			position: absolute;
+			top: 0;
+			bottom: 0;
+			inset-inline-end: -5px;
+			width: 10px;
+			cursor: col-resize;
+
+			&::after {
+				content: '';
+				position: absolute;
+				top: 50%;
+				left: 50%;
+				transform: translate(-50%, -50%);
+				width: 1px;
+				height: 1.6em;
+				background-color: var(--bg-slate-200);
+				transition: background-color 0.2s;
+			}
+		}
+	}
+}

frontend/src/components/ResizeTable/ResizeTable.tsx

@@ -2,35 +2,63 @@
 
 import { Table } from 'antd';
 import { ColumnsType } from 'antd/lib/table';
+import cx from 'classnames';
 import { dragColumnParams } from 'hooks/useDragColumns/configs';
-import { set } from 'lodash-es';
+import { RowData } from 'lib/query/createTableColumnsFromQuery';
+import { debounce, set } from 'lodash-es';
+import { useDashboard } from 'providers/Dashboard/Dashboard';
 import {
 	SyntheticEvent,
 	useCallback,
 	useEffect,
 	useMemo,
+	useRef,
 	useState,
 } from 'react';
 import ReactDragListView from 'react-drag-listview';
 import { ResizeCallbackData } from 'react-resizable';
+import { Widgets } from 'types/api/dashboard/getAll';
 
 import ResizableHeader from './ResizableHeader';
 import { DragSpanStyle } from './styles';
 import { ResizeTableProps } from './types';
 
+// eslint-disable-next-line sonarjs/cognitive-complexity
 function ResizeTable({
 	columns,
 	onDragColumn,
 	pagination,
+	widgetId,
+	shouldPersistColumnWidths = false,
 	...restProps
 }: ResizeTableProps): JSX.Element {
 	const [columnsData, setColumns] = useState<ColumnsType>([]);
+	const { setColumnWidths, selectedDashboard } = useDashboard();
+
+	const columnWidths = shouldPersistColumnWidths
+		? (selectedDashboard?.data?.widgets?.find(
+				(widget) => widget.id === widgetId,
+		  ) as Widgets)?.columnWidths
+		: undefined;
+
+	const updateAllColumnWidths = useRef(
+		debounce((widthsConfig: Record<string, number>) => {
+			if (!widgetId || !shouldPersistColumnWidths) return;
+			setColumnWidths?.((prev) => ({
+				...prev,
+				[widgetId]: widthsConfig,
+			}));
+		}, 1000),
+	).current;
 
 	const handleResize = useCallback(
 		(index: number) => (
-			_e: SyntheticEvent<Element>,
+			e: SyntheticEvent<Element>,
 			{ size }: ResizeCallbackData,
 		): void => {
+			e.preventDefault();
+			e.stopPropagation();
+
 			const newColumns = [...columnsData];
 			newColumns[index] = {
 				...newColumns[index],
@@ -65,6 +93,7 @@ function ResizeTable({
 			...restProps,
 			components: { header: { cell: ResizableHeader } },
 			columns: mergedColumns,
+			className: cx('resize-main-table', restProps.className),
 		};
 
 		set(
@@ -78,9 +107,39 @@ function ResizeTable({
 
 	useEffect(() => {
 		if (columns) {
-			setColumns(columns);
+			// Apply stored column widths from widget configuration
+			const columnsWithStoredWidths = columns.map((col) => {
+				const dataIndex = (col as RowData).dataIndex as string;
+				if (dataIndex && columnWidths && columnWidths[dataIndex]) {
+					return {
+						...col,
+						width: columnWidths[dataIndex], // Apply stored width
+					};
+				}
+				return col;
+			});
+
+			setColumns(columnsWithStoredWidths);
 		}
-	}, [columns]);
+	}, [columns, columnWidths]);
+
+	useEffect(() => {
+		if (!shouldPersistColumnWidths) return;
+		// Collect all column widths in a single object
+		const newColumnWidths: Record<string, number> = {};
+
+		mergedColumns.forEach((col) => {
+			if (col.width && (col as RowData).dataIndex) {
+				const dataIndex = (col as RowData).dataIndex as string;
+				newColumnWidths[dataIndex] = col.width as number;
+			}
+		});
+
+		// Only update if there are actual widths to set
+		if (Object.keys(newColumnWidths).length > 0) {
+			updateAllColumnWidths(newColumnWidths);
+		}
+	}, [mergedColumns, updateAllColumnWidths, shouldPersistColumnWidths]);
 
 	return onDragColumn ? (
 		<ReactDragListView.DragColumn {...dragColumnParams} onDragEnd={onDragColumn}>

frontend/src/components/ResizeTable/styles.ts

@@ -8,6 +8,8 @@ export const SpanStyle = styled.span`
 	width: 0.625rem;
 	height: 100%;
 	cursor: col-resize;
+	margin-left: 4px;
+	margin-right: 4px;
 `;
 
 export const DragSpanStyle = styled.span`

frontend/src/components/ResizeTable/types.ts

@@ -9,6 +9,8 @@ import { TableDataSource } from './contants';
 
 export interface ResizeTableProps extends TableProps<any> {
 	onDragColumn?: (fromIndex: number, toIndex: number) => void;
+	widgetId?: string;
+	shouldPersistColumnWidths?: boolean;
 }
 export interface DynamicColumnTableProps extends TableProps<any> {
 	tablesource: typeof TableDataSource[keyof typeof TableDataSource];

frontend/src/constants/features.ts

@@ -25,4 +25,6 @@ export enum FeatureKeys {
 	ANOMALY_DETECTION = 'ANOMALY_DETECTION',
 	AWS_INTEGRATION = 'AWS_INTEGRATION',
 	ONBOARDING_V3 = 'ONBOARDING_V3',
+	THIRD_PARTY_API = 'THIRD_PARTY_API',
+	TRACE_FUNNELS = 'TRACE_FUNNELS',
 }

frontend/src/container/AllAlertChannels/__tests__/AlertChannels.test.tsx

@@ -1,3 +1,4 @@
+import ROUTES from 'constants/routes';
 import AlertChannels from 'container/AllAlertChannels';
 import { allAlertChannels } from 'mocks-server/__mockdata__/alerts';
 import { act, fireEvent, render, screen, waitFor } from 'tests/test-utils';
@@ -20,6 +21,13 @@ jest.mock('hooks/useNotifications', () => ({
 	})),
 }));
 
+jest.mock('react-router-dom', () => ({
+	...jest.requireActual('react-router-dom'),
+	useLocation: (): { pathname: string } => ({
+		pathname: `${process.env.FRONTEND_API_ENDPOINT}${ROUTES.ALL_CHANNELS}`,
+	}),
+}));
+
 describe('Alert Channels Settings List page', () => {
 	beforeEach(() => {
 		render(<AlertChannels />);

frontend/src/container/AllAlertChannels/__tests__/AlertChannelsNormalUser.test.tsx

@@ -1,3 +1,4 @@
+import ROUTES from 'constants/routes';
 import AlertChannels from 'container/AllAlertChannels';
 import { allAlertChannels } from 'mocks-server/__mockdata__/alerts';
 import { fireEvent, render, screen, waitFor } from 'tests/test-utils';
@@ -25,6 +26,13 @@ jest.mock('hooks/useComponentPermission', () => ({
 	default: jest.fn().mockImplementation(() => [false]),
 }));
 
+jest.mock('react-router-dom', () => ({
+	...jest.requireActual('react-router-dom'),
+	useLocation: (): { pathname: string } => ({
+		pathname: `${process.env.FRONTEND_API_ENDPOINT}${ROUTES.ALL_CHANNELS}`,
+	}),
+}));
+
 describe('Alert Channels Settings List page (Normal User)', () => {
 	beforeEach(() => {
 		render(<AlertChannels />);

frontend/src/container/ApiMonitoring/Explorer/Domains/DomainDetails/AllEndPoints.tsx

@@ -1,5 +1,6 @@
 import { LoadingOutlined } from '@ant-design/icons';
 import { Select, Spin, Table, Typography } from 'antd';
+import logEvent from 'api/common/logEvent';
 import { ENTITY_VERSION_V4 } from 'constants/app';
 import { REACT_QUERY_KEY } from 'constants/reactQueryKeys';
 import {
@@ -151,6 +152,7 @@ function AllEndPoints({
 		if (groupBy.length === 0) {
 			setSelectedEndPointName(record.endpointName); // this will open up the endpoint details tab
 			setSelectedView(VIEW_TYPES.ENDPOINT_DETAILS);
+			logEvent('API Monitoring: Endpoint name row clicked', {});
 		} else {
 			handleGroupByRowClick(record); // this will prepare the nested query payload
 		}

frontend/src/container/ApiMonitoring/Explorer/Domains/DomainDetails/DomainDetails.styles.scss

@@ -392,6 +392,39 @@
 	gap: 20px;
 	padding-top: 20px;
 
+	.endpoint-meta-data {
+		display: flex;
+		gap: 8px;
+		.endpoint-meta-data-pill {
+			display: flex;
+			align-items: flex-start;
+			border-radius: 4px;
+			border: 1px solid var(--bg-slate-300);
+			width: fit-content;
+			.endpoint-meta-data-label {
+				display: flex;
+				padding: 6px 8px;
+				align-items: center;
+				gap: 4px;
+				border-right: 1px solid var(--bg-slate-300);
+				color: var(--text-vanilla-100);
+				background: var(--bg-slate-500);
+				height: calc(100% - 12px);
+			}
+
+			.endpoint-meta-data-value {
+				display: flex;
+				padding: 6px 8px;
+				justify-content: center;
+				align-items: center;
+				gap: 10px;
+				color: var(--text-vanilla-400);
+				background: var(--bg-slate-400);
+				height: calc(100% - 12px);
+			}
+		}
+	}
+
 	.endpoint-details-filters-container {
 		display: flex;
 		flex-direction: row;
@@ -405,6 +438,13 @@
 		}
 	}
 
+	.ant-select-item,
+	.ant-select-item-option-content {
+		flex: auto;
+		white-space: normal;
+		overflow-wrap: break-word;
+	}
+
 	.status-code-table-container {
 		border-radius: 3px;
 		border: 1px solid var(--bg-slate-500);
@@ -809,6 +849,13 @@
 			width: 100%;
 		}
 	}
+
+	.ant-select-item,
+	.ant-select-item-option-content {
+		flex: auto;
+		white-space: normal;
+		overflow-wrap: break-word;
+	}
 }
 
 .lightMode {
@@ -917,6 +964,20 @@
 		}
 	}
 
+	.endpoint-meta-data {
+		.endpoint-meta-data-pill {
+			.endpoint-meta-data-label {
+				color: var(--text-ink-300);
+				background: var(--bg-vanilla-100);
+			}
+
+			.endpoint-meta-data-value {
+				color: var(--text-ink-300);
+				background: var(--bg-vanilla-100);
+			}
+		}
+	}
+
 	.status-code-table-container {
 		.ant-table {
 			.ant-table-thead > tr > th {

frontend/src/container/ApiMonitoring/Explorer/Domains/DomainDetails/DomainDetails.tsx

@@ -19,12 +19,14 @@ function DomainDetails({
 	selectedDomainIndex,
 	setSelectedDomainIndex,
 	domainListLength,
+	domainListFilters,
 }: {
 	domainData: any;
 	handleClose: () => void;
 	selectedDomainIndex: number;
 	setSelectedDomainIndex: (index: number) => void;
 	domainListLength: number;
+	domainListFilters: IBuilderQuery['filters'];
 }): JSX.Element {
 	const [selectedView, setSelectedView] = useState<VIEWS>(VIEWS.ALL_ENDPOINTS);
 	const [selectedEndPointName, setSelectedEndPointName] = useState<string>('');
@@ -132,6 +134,7 @@ function DomainDetails({
 							domainName={domainData.domainName}
 							endPointName={selectedEndPointName}
 							setSelectedEndPointName={setSelectedEndPointName}
+							domainListFilters={domainListFilters}
 						/>
 					)}
 				</>

frontend/src/container/ApiMonitoring/Explorer/Domains/DomainDetails/EndPointDetails.tsx

@@ -2,7 +2,10 @@ import { ENTITY_VERSION_V4 } from 'constants/app';
 import { initialQueriesMap } from 'constants/queryBuilder';
 import {
 	END_POINT_DETAILS_QUERY_KEYS_ARRAY,
+	extractPortAndEndpoint,
 	getEndPointDetailsQueryPayload,
+	getLatencyOverTimeWidgetData,
+	getRateOverTimeWidgetData,
 } from 'container/ApiMonitoring/utils';
 import QueryBuilderSearchV2 from 'container/QueryBuilder/filters/QueryBuilderSearchV2/QueryBuilderSearchV2';
 import { GetMetricQueryRange } from 'lib/dashboard/getQueryResults';
@@ -27,10 +30,12 @@ function EndPointDetails({
 	domainName,
 	endPointName,
 	setSelectedEndPointName,
+	domainListFilters,
 }: {
 	domainName: string;
 	endPointName: string;
 	setSelectedEndPointName: (value: string) => void;
+	domainListFilters: IBuilderQuery['filters'];
 }): JSX.Element {
 	const { maxTime, minTime } = useSelector<AppState, GlobalReducer>(
 		(state) => state.globalTime,
@@ -101,8 +106,6 @@ function EndPointDetails({
 	const [
 		endPointMetricsDataQuery,
 		endPointStatusCodeDataQuery,
-		endPointRateOverTimeDataQuery,
-		endPointLatencyOverTimeDataQuery,
 		endPointDropDownDataQuery,
 		endPointDependentServicesDataQuery,
 		endPointStatusCodeBarChartsDataQuery,
@@ -115,12 +118,29 @@ function EndPointDetails({
 			endPointDetailsDataQueries[3],
 			endPointDetailsDataQueries[4],
 			endPointDetailsDataQueries[5],
-			endPointDetailsDataQueries[6],
-			endPointDetailsDataQueries[7],
 		],
 		[endPointDetailsDataQueries],
 	);
 
+	const { endpoint, port } = useMemo(
+		() => extractPortAndEndpoint(endPointName),
+		[endPointName],
+	);
+
+	const [rateOverTimeWidget, latencyOverTimeWidget] = useMemo(
+		() => [
+			getRateOverTimeWidgetData(domainName, endPointName, {
+				items: [...domainListFilters.items, ...filters.items],
+				op: filters.op,
+			}),
+			getLatencyOverTimeWidgetData(domainName, endPointName, {
+				items: [...domainListFilters.items, ...filters.items],
+				op: filters.op,
+			}),
+		],
+		[domainName, endPointName, filters, domainListFilters],
+	);
+
 	return (
 		<div className="endpoint-details-container">
 			<div className="endpoint-details-filters-container">
@@ -129,6 +149,8 @@ function EndPointDetails({
 						selectedEndPointName={endPointName}
 						setSelectedEndPointName={setSelectedEndPointName}
 						endPointDropDownDataQuery={endPointDropDownDataQuery}
+						parentContainerDiv=".endpoint-details-filters-container"
+						dropdownStyle={{ width: 'calc(100% - 36px)' }}
 					/>
 				</div>
 				<div className="endpoint-details-filters-container-search">
@@ -141,6 +163,16 @@ function EndPointDetails({
 					/>
 				</div>
 			</div>
+			<div className="endpoint-meta-data">
+				<div className="endpoint-meta-data-pill">
+					<div className="endpoint-meta-data-label">Endpoint</div>
+					<div className="endpoint-meta-data-value">{endpoint || '-'}</div>
+				</div>
+				<div className="endpoint-meta-data-pill">
+					<div className="endpoint-meta-data-label">Port</div>
+					<div className="endpoint-meta-data-value">{port || '-'}</div>
+				</div>
+			</div>
 			<EndPointMetrics endPointMetricsDataQuery={endPointMetricsDataQuery} />
 			{!isServicesFilterApplied && (
 				<DependentServices
@@ -152,18 +184,14 @@ function EndPointDetails({
 				endPointStatusCodeLatencyBarChartsDataQuery={
 					endPointStatusCodeLatencyBarChartsDataQuery
 				}
+				domainName={domainName}
+				endPointName={endPointName}
+				domainListFilters={domainListFilters}
+				filters={filters}
 			/>
 			<StatusCodeTable endPointStatusCodeDataQuery={endPointStatusCodeDataQuery} />
-			<MetricOverTimeGraph
-				metricOverTimeDataQuery={endPointRateOverTimeDataQuery}
-				widgetInfoIndex={0}
-				endPointName={endPointName}
-			/>
-			<MetricOverTimeGraph
-				metricOverTimeDataQuery={endPointLatencyOverTimeDataQuery}
-				widgetInfoIndex={1}
-				endPointName={endPointName}
-			/>
+			<MetricOverTimeGraph widget={rateOverTimeWidget} />
+			<MetricOverTimeGraph widget={latencyOverTimeWidget} />
 		</div>
 	);
 }

frontend/src/container/ApiMonitoring/Explorer/Domains/DomainDetails/EndPointDetailsWrapper.tsx

@@ -8,6 +8,7 @@ import { useSelector } from 'react-redux';
 import { AppState } from 'store/reducers';
 import { SuccessResponse } from 'types/api';
 import { MetricRangePayloadProps } from 'types/api/metrics/getQueryRange';
+import { IBuilderQuery } from 'types/api/queryBuilder/queryBuilderData';
 import { GlobalReducer } from 'types/reducer/globalTime';
 
 import EndPointDetailsZeroState from './components/EndPointDetailsZeroState';
@@ -17,10 +18,12 @@ function EndPointDetailsWrapper({
 	domainName,
 	endPointName,
 	setSelectedEndPointName,
+	domainListFilters,
 }: {
 	domainName: string;
 	endPointName: string;
 	setSelectedEndPointName: (value: string) => void;
+	domainListFilters: IBuilderQuery['filters'];
 }): JSX.Element {
 	const { maxTime, minTime } = useSelector<AppState, GlobalReducer>(
 		(state) => state.globalTime,
@@ -69,6 +72,7 @@ function EndPointDetailsWrapper({
 			domainName={domainName}
 			endPointName={endPointName}
 			setSelectedEndPointName={setSelectedEndPointName}
+			domainListFilters={domainListFilters}
 		/>
 	);
 }

frontend/src/container/ApiMonitoring/Explorer/Domains/DomainDetails/components/EndPointDetailsZeroState.tsx

@@ -28,6 +28,8 @@ function EndPointDetailsZeroState({
 					<EndPointsDropDown
 						setSelectedEndPointName={setSelectedEndPointName}
 						endPointDropDownDataQuery={endPointDropDownDataQuery}
+						parentContainerDiv=".end-point-details-zero-state-wrapper"
+						dropdownStyle={{ width: '60%' }}
 					/>
 				</div>
 			</div>

frontend/src/container/ApiMonitoring/Explorer/Domains/DomainDetails/components/EndPointMetrics.tsx

@@ -70,7 +70,7 @@ function EndPointMetrics({
 							<Skeleton.Button active size="small" />
 						) : (
 							<Tooltip title={metricsData?.rate}>
-								<span className="round-metric-tag">{metricsData?.rate}/sec</span>
+								<span className="round-metric-tag">{metricsData?.rate} ops/sec</span>
 							</Tooltip>
 						)}
 					</Typography.Text>

frontend/src/container/ApiMonitoring/Explorer/Domains/DomainDetails/components/EndPointsDropDown.tsx

@@ -8,16 +8,22 @@ interface EndPointsDropDownProps {
 	selectedEndPointName?: string;
 	setSelectedEndPointName: (value: string) => void;
 	endPointDropDownDataQuery: UseQueryResult<SuccessResponse<any>, unknown>;
+	parentContainerDiv?: string;
+	dropdownStyle?: React.CSSProperties;
 }
 
 const defaultProps = {
 	selectedEndPointName: '',
+	parentContainerDiv: '',
+	dropdownStyle: {},
 };
 
 function EndPointsDropDown({
 	selectedEndPointName,
 	setSelectedEndPointName,
 	endPointDropDownDataQuery,
+	parentContainerDiv,
+	dropdownStyle,
 }: EndPointsDropDownProps): JSX.Element {
 	const { data, isLoading, isFetching } = endPointDropDownDataQuery;
 
@@ -39,6 +45,13 @@ function EndPointsDropDown({
 			style={{ width: '100%' }}
 			onChange={handleChange}
 			options={formattedData}
+			getPopupContainer={
+				parentContainerDiv
+					? (): HTMLElement =>
+							document.querySelector(parentContainerDiv) as HTMLElement
+					: (triggerNode): HTMLElement => triggerNode.parentNode as HTMLElement
+			}
+			dropdownStyle={dropdownStyle}
 		/>
 	);
 }

frontend/src/container/ApiMonitoring/Explorer/Domains/DomainDetails/components/ExpandedRow.tsx

@@ -1,6 +1,7 @@
 import { LoadingOutlined } from '@ant-design/icons';
 import { Spin, Table } from 'antd';
 import { ColumnType } from 'antd/lib/table';
+import logEvent from 'api/common/logEvent';
 import { ENTITY_VERSION_V4 } from 'constants/app';
 import { REACT_QUERY_KEY } from 'constants/reactQueryKeys';
 import {
@@ -114,6 +115,7 @@ function ExpandedRow({
 							onClick: (): void => {
 								setSelectedEndPointName(record.endpointName);
 								setSelectedView(VIEW_TYPES.ENDPOINT_DETAILS);
+								logEvent('API Monitoring: Endpoint name row clicked', {});
 							},
 							className: 'expanded-clickable-row',
 						})}

frontend/src/container/ApiMonitoring/Explorer/Domains/DomainDetails/components/MetricOverTimeGraph.tsx

@@ -1,110 +1,18 @@
-import { Card, Skeleton, Typography } from 'antd';
-import cx from 'classnames';
-import Uplot from 'components/Uplot';
-import { PANEL_TYPES } from 'constants/queryBuilder';
-import {
-	apiWidgetInfo,
-	extractPortAndEndpoint,
-	getFormattedChartData,
-} from 'container/ApiMonitoring/utils';
-import { useIsDarkMode } from 'hooks/useDarkMode';
-import { useResizeObserver } from 'hooks/useDimensions';
-import { getUPlotChartOptions } from 'lib/uPlotLib/getUplotChartOptions';
-import { getUPlotChartData } from 'lib/uPlotLib/utils/getUplotChartData';
-import { useCallback, useMemo, useRef } from 'react';
-import { UseQueryResult } from 'react-query';
-import { useSelector } from 'react-redux';
-import { AppState } from 'store/reducers';
-import { SuccessResponse } from 'types/api';
-import { GlobalReducer } from 'types/reducer/globalTime';
-import { Options } from 'uplot';
-
-import ErrorState from './ErrorState';
-
-function MetricOverTimeGraph({
-	metricOverTimeDataQuery,
-	widgetInfoIndex,
-	endPointName,
-}: {
-	metricOverTimeDataQuery: UseQueryResult<SuccessResponse<any>, unknown>;
-	widgetInfoIndex: number;
-	endPointName: string;
-}): JSX.Element {
-	const { data } = metricOverTimeDataQuery;
-
-	const { minTime, maxTime } = useSelector<AppState, GlobalReducer>(
-		(state) => state.globalTime,
-	);
-
-	const graphRef = useRef<HTMLDivElement>(null);
-	const dimensions = useResizeObserver(graphRef);
-
-	const { endpoint } = extractPortAndEndpoint(endPointName);
-
-	const formattedChartData = useMemo(
-		() => getFormattedChartData(data?.payload, [endpoint]),
-		[data?.payload, endpoint],
-	);
-
-	const chartData = useMemo(() => getUPlotChartData(formattedChartData), [
-		formattedChartData,
-	]);
-
-	const isDarkMode = useIsDarkMode();
-
-	const options = useMemo(
-		() =>
-			getUPlotChartOptions({
-				apiResponse: formattedChartData,
-				isDarkMode,
-				dimensions,
-				yAxisUnit: apiWidgetInfo[widgetInfoIndex].yAxisUnit,
-				softMax: null,
-				softMin: null,
-				minTimeScale: Math.floor(minTime / 1e9),
-				maxTimeScale: Math.floor(maxTime / 1e9),
-				panelType: PANEL_TYPES.TIME_SERIES,
-			}),
-		[
-			formattedChartData,
-			minTime,
-			maxTime,
-			widgetInfoIndex,
-			dimensions,
-			isDarkMode,
-		],
-	);
-
-	const renderCardContent = useCallback(
-		(query: UseQueryResult<SuccessResponse<any>, unknown>): JSX.Element => {
-			if (query.isLoading) {
-				return <Skeleton />;
-			}
-
-			if (query.error) {
-				return <ErrorState refetch={query.refetch} />;
-			}
-
-			return (
-				<div
-					className={cx('chart-container', {
-						'no-data-container':
-							!query.isLoading && !query?.data?.payload?.data?.result?.length,
-					})}
-				>
-					<Uplot options={options as Options} data={chartData} />
-				</div>
-			);
-		},
-		[options, chartData],
-	);
+import { Card } from 'antd';
+import GridCard from 'container/GridCardLayout/GridCard';
+import { Widgets } from 'types/api/dashboard/getAll';
 
+function MetricOverTimeGraph({ widget }: { widget: Widgets }): JSX.Element {
 	return (
 		<div>
 			<Card bordered className="endpoint-details-card">
-				<Typography.Text>{apiWidgetInfo[widgetInfoIndex].title}</Typography.Text>
-				<div className="graph-container" ref={graphRef}>
-					{renderCardContent(metricOverTimeDataQuery)}
+				<div className="graph-container">
+					<GridCard
+						widget={widget}
+						isQueryEnabled
+						onDragSelect={(): void => {}}
+						customOnDragSelect={(): void => {}}
+					/>
 				</div>
 			</Card>
 		</div>

frontend/src/container/ApiMonitoring/Explorer/Domains/DomainDetails/components/StatusCodeBarCharts.tsx

@@ -1,13 +1,22 @@
+import { Color } from '@signozhq/design-tokens';
 import { Button, Card, Skeleton, Typography } from 'antd';
 import cx from 'classnames';
+import { useGetGraphCustomSeries } from 'components/CeleryTask/useGetGraphCustomSeries';
+import { useNavigateToExplorer } from 'components/CeleryTask/useNavigateToExplorer';
 import Uplot from 'components/Uplot';
 import { PANEL_TYPES } from 'constants/queryBuilder';
 import {
+	getCustomFiltersForBarChart,
 	getFormattedEndPointStatusCodeChartData,
+	getStatusCodeBarChartWidgetData,
 	statusCodeWidgetInfo,
 } from 'container/ApiMonitoring/utils';
+import { handleGraphClick } from 'container/GridCardLayout/GridCard/utils';
+import { useGraphClickToShowButton } from 'container/GridCardLayout/useGraphClickToShowButton';
+import useNavigateToExplorerPages from 'container/GridCardLayout/useNavigateToExplorerPages';
 import { useIsDarkMode } from 'hooks/useDarkMode';
 import { useResizeObserver } from 'hooks/useDimensions';
+import { useNotifications } from 'hooks/useNotifications';
 import { getUPlotChartOptions } from 'lib/uPlotLib/getUplotChartOptions';
 import { getUPlotChartData } from 'lib/uPlotLib/utils/getUplotChartData';
 import { useCallback, useMemo, useRef, useState } from 'react';
@@ -15,6 +24,8 @@ import { UseQueryResult } from 'react-query';
 import { useSelector } from 'react-redux';
 import { AppState } from 'store/reducers';
 import { SuccessResponse } from 'types/api';
+import { Widgets } from 'types/api/dashboard/getAll';
+import { IBuilderQuery } from 'types/api/queryBuilder/queryBuilderData';
 import { GlobalReducer } from 'types/reducer/globalTime';
 import { Options } from 'uplot';
 
@@ -23,6 +34,10 @@ import ErrorState from './ErrorState';
 function StatusCodeBarCharts({
 	endPointStatusCodeBarChartsDataQuery,
 	endPointStatusCodeLatencyBarChartsDataQuery,
+	domainName,
+	endPointName,
+	domainListFilters,
+	filters,
 }: {
 	endPointStatusCodeBarChartsDataQuery: UseQueryResult<
 		SuccessResponse<any>,
@@ -32,6 +47,10 @@ function StatusCodeBarCharts({
 		SuccessResponse<any>,
 		unknown
 	>;
+	domainName: string;
+	endPointName: string;
+	domainListFilters: IBuilderQuery['filters'];
+	filters: IBuilderQuery['filters'];
 }): JSX.Element {
 	// 0 : Status Code Count
 	// 1 : Status Code Latency
@@ -85,6 +104,72 @@ function StatusCodeBarCharts({
 
 	const isDarkMode = useIsDarkMode();
 
+	const graphClick = useGraphClickToShowButton({
+		graphRef,
+		isButtonEnabled: true,
+		buttonClassName: 'view-onclick-show-button',
+	});
+
+	const navigateToExplorer = useNavigateToExplorer();
+
+	const navigateToExplorerPages = useNavigateToExplorerPages();
+	const { notifications } = useNotifications();
+
+	const { getCustomSeries } = useGetGraphCustomSeries({
+		isDarkMode,
+		drawStyle: 'bars',
+		colorMapping: {
+			'200-299': Color.BG_FOREST_500,
+			'300-399': Color.BG_AMBER_400,
+			'400-499': Color.BG_CHERRY_500,
+			'500-599': Color.BG_ROBIN_500,
+			Other: Color.BG_SIENNA_500,
+		},
+	});
+
+	const widget = useMemo<Widgets>(
+		() =>
+			getStatusCodeBarChartWidgetData(domainName, endPointName, {
+				items: [...domainListFilters.items, ...filters.items],
+				op: filters.op,
+			}),
+		[domainName, endPointName, domainListFilters, filters],
+	);
+
+	const graphClickHandler = useCallback(
+		(
+			xValue: number,
+			yValue: number,
+			mouseX: number,
+			mouseY: number,
+			metric?: { [key: string]: string },
+			queryData?: { queryName: string; inFocusOrNot: boolean },
+		): void => {
+			const customFilters = getCustomFiltersForBarChart(metric);
+			handleGraphClick({
+				xValue,
+				yValue,
+				mouseX,
+				mouseY,
+				metric,
+				queryData,
+				widget,
+				navigateToExplorerPages,
+				navigateToExplorer,
+				notifications,
+				graphClick,
+				customFilters,
+			});
+		},
+		[
+			widget,
+			navigateToExplorerPages,
+			navigateToExplorer,
+			notifications,
+			graphClick,
+		],
+	);
+
 	const options = useMemo(
 		() =>
 			getUPlotChartOptions({
@@ -100,6 +185,8 @@ function StatusCodeBarCharts({
 				minTimeScale: Math.floor(minTime / 1e9),
 				maxTimeScale: Math.floor(maxTime / 1e9),
 				panelType: PANEL_TYPES.BAR,
+				onClickHandler: graphClickHandler,
+				customSeries: getCustomSeries,
 			}),
 		[
 			minTime,
@@ -109,6 +196,8 @@ function StatusCodeBarCharts({
 			formattedEndPointStatusCodeBarChartsDataPayload,
 			formattedEndPointStatusCodeLatencyBarChartsDataPayload,
 			isDarkMode,
+			graphClickHandler,
+			getCustomSeries,
 		],
 	);
 

frontend/src/container/ApiMonitoring/Explorer/Domains/DomainList.tsx

@@ -3,6 +3,7 @@ import '../Explorer.styles.scss';
 import { LoadingOutlined } from '@ant-design/icons';
 import { Spin, Table, Typography } from 'antd';
 import axios from 'api';
+import logEvent from 'api/common/logEvent';
 import { ErrorResponseHandler } from 'api/ErrorResponseHandler';
 import { AxiosError } from 'axios';
 import cx from 'classnames';
@@ -130,6 +131,7 @@ function DomainList({
 								(item) => item.key === record.key,
 							);
 							setSelectedDomainIndex(dataIndex);
+							logEvent('API Monitoring: Domain name row clicked', {});
 						}
 					},
 					className: 'expanded-clickable-row',
@@ -147,6 +149,7 @@ function DomainList({
 					handleClose={(): void => {
 						setSelectedDomainIndex(-1);
 					}}
+					domainListFilters={query?.filters}
 				/>
 			)}
 		</section>

frontend/src/container/ApiMonitoring/Explorer/Explorer.tsx

@@ -3,13 +3,14 @@ import './Explorer.styles.scss';
 import { FilterOutlined } from '@ant-design/icons';
 import * as Sentry from '@sentry/react';
 import { Switch, Typography } from 'antd';
+import logEvent from 'api/common/logEvent';
 import cx from 'classnames';
 import QuickFilters from 'components/QuickFilters/QuickFilters';
 import { QuickFiltersSource } from 'components/QuickFilters/types';
 import { useQueryBuilder } from 'hooks/queryBuilder/useQueryBuilder';
 import { useQueryOperations } from 'hooks/queryBuilder/useQueryBuilderOperations';
 import ErrorBoundaryFallback from 'pages/ErrorBoundaryFallback/ErrorBoundaryFallback';
-import { useMemo, useState } from 'react';
+import { useEffect, useMemo, useState } from 'react';
 import { Query } from 'types/api/queryBuilder/queryBuilderData';
 import { DataSource } from 'types/common/queryBuilder';
 
@@ -21,6 +22,10 @@ function Explorer(): JSX.Element {
 
 	const { currentQuery } = useQueryBuilder();
 
+	useEffect(() => {
+		logEvent('API Monitoring: Landing page visited', {});
+	}, []);
+
 	const { handleChangeQueryData } = useQueryOperations({
 		index: 0,
 		query: currentQuery.builder.queryData[0],
@@ -64,7 +69,12 @@ function Explorer(): JSX.Element {
 							style={{ marginLeft: 'auto' }}
 							checked={showIP}
 							onClick={(): void => {
-								setShowIP((showIP) => !showIP);
+								setShowIP((showIP): boolean => {
+									logEvent('API Monitoring: Show IP addresses clicked', {
+										showIP: !showIP,
+									});
+									return !showIP;
+								});
 							}}
 						/>
 					</div>

frontend/src/container/ApiMonitoring/utils.tsx

@@ -8,16 +8,23 @@ import {
 } from 'components/QuickFilters/types';
 import { PANEL_TYPES } from 'constants/queryBuilder';
 import { REACT_QUERY_KEY } from 'constants/reactQueryKeys';
+import { GraphClickMetaData } from 'container/GridCardLayout/useNavigateToExplorerPages';
+import { getWidgetQueryBuilder } from 'container/MetricsApplication/MetricsApplication.factory';
 import dayjs from 'dayjs';
 import { GetQueryResultsProps } from 'lib/dashboard/getQueryResults';
 import { cloneDeep } from 'lodash-es';
 import { ArrowUpDown, ChevronDown, ChevronRight } from 'lucide-react';
+import { getWidgetQuery } from 'pages/MessagingQueues/MQDetails/MetricPage/MetricPageUtil';
+import { Widgets } from 'types/api/dashboard/getAll';
 import { MetricRangePayloadProps } from 'types/api/metrics/getQueryRange';
 import {
 	BaseAutocompleteData,
 	DataTypes,
 } from 'types/api/queryBuilder/queryAutocompleteResponse';
-import { IBuilderQuery } from 'types/api/queryBuilder/queryBuilderData';
+import {
+	IBuilderQuery,
+	TagFilterItem,
+} from 'types/api/queryBuilder/queryBuilderData';
 import { QueryData } from 'types/api/widgets/getQuery';
 import { EQueryType } from 'types/common/dashboard';
 import { DataSource } from 'types/common/queryBuilder';
@@ -128,12 +135,15 @@ export const columnsConfig: ColumnType<APIDomainsRowData>[] = [
 		sorter: false,
 		align: 'right',
 		className: `column`,
-		render: (lastUsed: number): string => getLastUsedRelativeTime(lastUsed),
+		render: (lastUsed: number | string): string =>
+			lastUsed === 'n/a' || lastUsed === '-'
+				? '-'
+				: getLastUsedRelativeTime(lastUsed as number),
 	},
 	{
 		title: (
 			<div>
-				Rate <span className="round-metric-tag">/s</span>
+				Rate <span className="round-metric-tag">ops/s</span>
 			</div>
 		),
 		dataIndex: 'rate',
@@ -155,21 +165,26 @@ export const columnsConfig: ColumnType<APIDomainsRowData>[] = [
 		sorter: false,
 		align: 'right',
 		className: `column`,
-		render: (errorRate: number): React.ReactNode => (
-			<Progress
-				status="active"
-				percent={Number((errorRate * 100).toFixed(1))}
-				strokeLinecap="butt"
-				size="small"
-				strokeColor={((): string => {
-					const errorRatePercent = Number((errorRate * 100).toFixed(1));
-					if (errorRatePercent >= 90) return Color.BG_SAKURA_500;
-					if (errorRatePercent >= 60) return Color.BG_AMBER_500;
-					return Color.BG_FOREST_500;
-				})()}
-				className="progress-bar error-rate"
-			/>
-		),
+		render: (errorRate: number | string): React.ReactNode => {
+			if (errorRate === 'n/a' || errorRate === '-') {
+				return '-';
+			}
+			return (
+				<Progress
+					status="active"
+					percent={Number(((errorRate as number) * 100).toFixed(1))}
+					strokeLinecap="butt"
+					size="small"
+					strokeColor={((): string => {
+						const errorRatePercent = Number(((errorRate as number) * 100).toFixed(1));
+						if (errorRatePercent >= 90) return Color.BG_SAKURA_500;
+						if (errorRatePercent >= 60) return Color.BG_AMBER_500;
+						return Color.BG_FOREST_500;
+					})()}
+					className="progress-bar error-rate"
+				/>
+			);
+		},
 	},
 	{
 		title: (
@@ -217,9 +232,9 @@ interface APIMonitoringResponseRow {
 	data: {
 		endpoints: number;
 		error_rate: number;
-		lastseen: number;
+		lastseen: number | string;
 		[domainNameKey]: string;
-		p99: number;
+		p99: number | string;
 		rps: number;
 	};
 }
@@ -232,12 +247,12 @@ interface EndPointsResponseRow {
 
 export interface APIDomainsRowData {
 	key: string;
-	domainName: React.ReactNode;
-	endpointCount: React.ReactNode;
-	rate: React.ReactNode;
-	errorRate: React.ReactNode;
-	latency: React.ReactNode;
-	lastUsed: React.ReactNode;
+	domainName: string;
+	endpointCount: number | string;
+	rate: number | string;
+	errorRate: number | string;
+	latency: number | string;
+	lastUsed: string;
 }
 
 // Rename this to a proper name
@@ -246,12 +261,20 @@ export const formatDataForTable = (
 ): APIDomainsRowData[] =>
 	data?.map((domain) => ({
 		key: v4(),
-		domainName: domain.data[domainNameKey] || '',
-		endpointCount: domain.data.endpoints,
-		rate: domain.data.rps,
-		errorRate: domain.data.error_rate,
-		latency: Math.round(domain.data.p99 / 1000000), // Convert from nanoseconds to milliseconds
-		lastUsed: new Date(Math.floor(domain.data.lastseen / 1000000)).toISOString(), // Convert from nanoseconds to milliseconds
+		domainName: domain?.data[domainNameKey] || '-',
+		endpointCount: domain?.data?.endpoints || '-',
+		rate: domain.data.rps || '-',
+		errorRate: domain.data.error_rate || '-',
+		latency:
+			domain.data.p99 === 'n/a'
+				? '-'
+				: Math.round(Number(domain.data.p99) / 1000000), // Convert from nanoseconds to milliseconds
+		lastUsed:
+			domain.data.lastseen === 'n/a'
+				? '-'
+				: new Date(
+						Math.floor(Number(domain.data.lastseen) / 1000000),
+				  ).toISOString(), // Convert from nanoseconds to milliseconds
 	}));
 
 // Rename this to a proper name
@@ -468,7 +491,6 @@ export const extractPortAndEndpoint = (
 	}
 };
 
-// Add icons in the below column headers
 export const getEndPointsColumnsConfig = (
 	isGroupedByAttribute: boolean,
 	expandedRowKeys: React.Key[],
@@ -576,7 +598,7 @@ export const formatEndPointsDataForTable = (
 			);
 			return {
 				key: v4(),
-				endpointName: (endpoint.data['http.url'] as string) || '',
+				endpointName: (endpoint.data['http.url'] as string) || '-',
 				port,
 				callCount: endpoint.data.A || '-',
 				latency:
@@ -593,7 +615,6 @@ export const formatEndPointsDataForTable = (
 
 	const groupedByAttributeData = groupBy.map((attribute) => attribute.key);
 
-	// TODO: Use tags to show the concatenated attribute values
 	return data?.map((endpoint) => {
 		const newEndpointName = groupedByAttributeData
 			.map((attribute) => endpoint.data[attribute])
@@ -639,7 +660,7 @@ export const createFiltersForSelectedRowData = (
 				type: null,
 			},
 			op: '=',
-			value: groupedByMeta[key],
+			value: groupedByMeta[key] || '',
 			id: key,
 		})),
 	);
@@ -649,12 +670,10 @@ export const createFiltersForSelectedRowData = (
 
 // First query payload for endpoint metrics
 // Second query payload for endpoint status code
-// Third query payload for endpoint rate over time graph
-// Fourth query payload for endpoint latency over time graph
-// Fifth query payload for endpoint dropdown selection
-// Sixth query payload for endpoint dependant services
-// Seventh query payload for endpoint response status count bar chart
-// Eighth query payload for endpoint response status code latency bar chart
+// Third query payload for endpoint dropdown selection
+// Fourth query payload for endpoint dependant services
+// Fifth query payload for endpoint response status count bar chart
+// Sixth query payload for endpoint response status code latency bar chart
 export const getEndPointDetailsQueryPayload = (
 	domainName: string,
 	endPointName: string,
@@ -1101,205 +1120,6 @@ export const getEndPointDetailsQueryPayload = (
 		end,
 		step: 60,
 	},
-	{
-		selectedTime: 'GLOBAL_TIME',
-		graphType: PANEL_TYPES.TIME_SERIES,
-		query: {
-			builder: {
-				queryData: [
-					{
-						aggregateAttribute: {
-							dataType: DataTypes.String,
-							id: '------false',
-							isColumn: false,
-							key: '',
-							type: '',
-						},
-						aggregateOperator: 'rate',
-						dataSource: DataSource.TRACES,
-						disabled: false,
-						expression: 'B',
-						filters: {
-							items: [
-								{
-									id: '3c76fe0b',
-									key: {
-										dataType: DataTypes.String,
-										id: 'net.peer.name--string--tag--false',
-										isColumn: false,
-										isJSON: false,
-										key: 'net.peer.name',
-										type: 'tag',
-									},
-									op: '=',
-									value: domainName,
-								},
-								{
-									id: '30710f04',
-									key: {
-										dataType: DataTypes.String,
-										id: 'http.url--string--tag--false',
-										isColumn: false,
-										isJSON: false,
-										key: 'http.url',
-										type: 'tag',
-									},
-									op: '=',
-									value: endPointName,
-								},
-								...filters.items,
-							],
-							op: 'AND',
-						},
-						functions: [],
-						groupBy: [
-							{
-								dataType: DataTypes.String,
-								id: 'http.url--string--tag--false',
-								isColumn: false,
-								isJSON: false,
-								key: 'http.url',
-								type: 'tag',
-							},
-						],
-						having: [],
-						legend: '',
-						limit: null,
-						orderBy: [],
-						queryName: 'B',
-						reduceTo: 'avg',
-						spaceAggregation: 'sum',
-						stepInterval: 60,
-						timeAggregation: 'rate',
-					},
-				],
-				queryFormulas: [],
-			},
-			clickhouse_sql: [
-				{
-					disabled: false,
-					legend: '',
-					name: 'A',
-					query: '',
-				},
-			],
-			id: '315b15fa-ff0c-442f-89f8-2bf4fb1af2f2',
-			promql: [
-				{
-					disabled: false,
-					legend: '',
-					name: 'A',
-					query: '',
-				},
-			],
-			queryType: EQueryType.QUERY_BUILDER,
-		},
-		variables: {},
-		formatForWeb: false,
-		start,
-		end,
-		step: 60,
-	},
-	{
-		selectedTime: 'GLOBAL_TIME',
-		graphType: PANEL_TYPES.TIME_SERIES,
-		query: {
-			builder: {
-				queryData: [
-					{
-						aggregateAttribute: {
-							dataType: DataTypes.Float64,
-							id: 'duration_nano--float64----true',
-							isColumn: true,
-							isJSON: false,
-							key: 'duration_nano',
-							type: '',
-						},
-						aggregateOperator: 'p99',
-						dataSource: DataSource.TRACES,
-						disabled: false,
-						expression: 'B',
-						filters: {
-							items: [
-								{
-									id: '63adb3ff',
-									key: {
-										dataType: DataTypes.String,
-										id: 'net.peer.name--string--tag--false',
-										isColumn: false,
-										isJSON: false,
-										key: 'net.peer.name',
-										type: 'tag',
-									},
-									op: '=',
-									value: domainName,
-								},
-								{
-									id: '50142500',
-									key: {
-										dataType: DataTypes.String,
-										id: 'http.url--string--tag--false',
-										isColumn: false,
-										isJSON: false,
-										key: 'http.url',
-										type: 'tag',
-									},
-									op: '=',
-									value: endPointName,
-								},
-								...filters.items,
-							],
-							op: 'AND',
-						},
-						functions: [],
-						groupBy: [
-							{
-								dataType: DataTypes.String,
-								id: 'http.url--string--tag--false',
-								isColumn: false,
-								isJSON: false,
-								key: 'http.url',
-								type: 'tag',
-							},
-						],
-						having: [],
-						legend: '',
-						limit: null,
-						orderBy: [],
-						queryName: 'B',
-						reduceTo: 'avg',
-						spaceAggregation: 'sum',
-						stepInterval: 60,
-						timeAggregation: 'p99',
-					},
-				],
-				queryFormulas: [],
-			},
-			clickhouse_sql: [
-				{
-					disabled: false,
-					legend: '',
-					name: 'A',
-					query: '',
-				},
-			],
-			id: '315b15fa-ff0c-442f-89f8-2bf4fb1af2f2',
-			promql: [
-				{
-					disabled: false,
-					legend: '',
-					name: 'A',
-					query: '',
-				},
-			],
-			queryType: EQueryType.QUERY_BUILDER,
-		},
-		variables: {},
-		formatForWeb: false,
-		start,
-		end,
-		step: 60,
-	},
 	{
 		selectedTime: 'GLOBAL_TIME',
 		graphType: PANEL_TYPES.TABLE,
@@ -1801,7 +1621,7 @@ interface EndPointMetricsData {
 interface EndPointStatusCodeData {
 	key: string;
 	statusCode: string;
-	count: number;
+	count: number | string;
 	p99Latency: number | string;
 }
 
@@ -1824,8 +1644,8 @@ export const getFormattedEndPointStatusCodeData = (
 ): EndPointStatusCodeData[] =>
 	data?.map((row) => ({
 		key: v4(),
-		statusCode: row.data.response_status_code,
-		count: row.data.A,
+		statusCode: row.data.response_status_code || '-',
+		count: row.data.A || '-',
 		p99Latency:
 			row.data.B === 'n/a' ? '-' : Math.round(Number(row.data.B) / 1000000), // Convert from nanoseconds to milliseconds,
 	}));
@@ -1857,11 +1677,6 @@ export const endPointStatusCodeColumns: ColumnType<EndPointStatusCodeData>[] = [
 	},
 ];
 
-export const apiWidgetInfo = [
-	{ title: 'Rate over time', yAxisUnit: 'ops/s' },
-	{ title: 'Latency over time', yAxisUnit: 'ns' },
-];
-
 export const statusCodeWidgetInfo = [
 	{ yAxisUnit: 'calls' },
 	{ yAxisUnit: 'ns' },
@@ -1885,8 +1700,8 @@ export const getFormattedEndPointDropDownData = (
 ): EndPointDropDownData[] =>
 	data?.map((row) => ({
 		key: v4(),
-		label: row.data['http.url'],
-		value: row.data['http.url'],
+		label: row.data['http.url'] || '-',
+		value: row.data['http.url'] || '-',
 	}));
 
 interface DependentServicesResponseRow {
@@ -1903,6 +1718,7 @@ interface DependentServicesData {
 	percentage: number;
 }
 
+// Discuss once about type safety of this function
 export const getFormattedDependentServicesData = (
 	data: DependentServicesResponseRow[],
 ): DependentServicesData[] => {
@@ -1983,7 +1799,7 @@ export const groupStatusCodes = (
 
 		// Track all timestamps
 		series.values.forEach((value) => {
-			allTimestamps.add(value[0]);
+			allTimestamps.add(Number(value[0]));
 		});
 
 		// Initialize or update the grouped series
@@ -2049,8 +1865,114 @@ export const groupStatusCodes = (
 		});
 	});
 
-	return Object.values(groupedSeries);
+	// Define the order of status code ranges
+	const statusCodeOrder = ['200-299', '300-399', '400-499', '500-599', 'Other'];
+
+	// Return the grouped series in the specified order
+	return statusCodeOrder
+		.filter((code) => groupedSeries[code]) // Only include codes that exist in the data
+		.map((code) => groupedSeries[code]);
 };
+
+export const getStatusCodeBarChartWidgetData = (
+	domainName: string,
+	endPointName: string,
+	filters: IBuilderQuery['filters'],
+): Widgets => ({
+	query: {
+		builder: {
+			queryData: [
+				{
+					aggregateAttribute: {
+						dataType: DataTypes.String,
+						id: '------false',
+						isColumn: false,
+						key: '',
+						type: '',
+					},
+					aggregateOperator: 'count',
+					dataSource: DataSource.TRACES,
+					disabled: false,
+					expression: 'A',
+					filters: {
+						items: [
+							{
+								id: 'c6724407',
+								key: {
+									dataType: DataTypes.String,
+									id: 'net.peer.name--string--tag--false',
+									isColumn: false,
+									isJSON: false,
+									key: 'net.peer.name',
+									type: 'tag',
+								},
+								op: '=',
+								value: domainName,
+							},
+							{
+								id: '8b1be6f0',
+								key: {
+									dataType: DataTypes.String,
+									id: 'http.url--string--tag--false',
+									isColumn: false,
+									isJSON: false,
+									key: 'http.url',
+									type: 'tag',
+								},
+								op: '=',
+								value: endPointName,
+							},
+							...filters.items,
+						],
+						op: 'AND',
+					},
+					functions: [],
+					groupBy: [],
+					having: [],
+					legend: '',
+					limit: null,
+					orderBy: [],
+					queryName: 'A',
+					reduceTo: 'avg',
+					spaceAggregation: 'sum',
+					stepInterval: 60,
+					timeAggregation: 'rate',
+				},
+			],
+			queryFormulas: [],
+		},
+		clickhouse_sql: [
+			{
+				disabled: false,
+				legend: '',
+				name: 'A',
+				query: '',
+			},
+		],
+		id: '315b15fa-ff0c-442f-89f8-2bf4fb1af2f2',
+		promql: [
+			{
+				disabled: false,
+				legend: '',
+				name: 'A',
+				query: '',
+			},
+		],
+		queryType: EQueryType.QUERY_BUILDER,
+	},
+	description: '',
+	id: '315b15fa-ff0c-442f-89f8-2bf4fb1af2f2',
+	isStacked: false,
+	panelTypes: PANEL_TYPES.BAR,
+	title: '',
+	opacity: '',
+	nullZeroValues: '',
+	timePreferance: 'GLOBAL_TIME',
+	softMin: null,
+	softMax: null,
+	selectedLogFields: null,
+	selectedTracesFields: null,
+});
 interface EndPointStatusCodePayloadData {
 	data: {
 		result: QueryData[];
@@ -2085,3 +2007,277 @@ export const END_POINT_DETAILS_QUERY_KEYS_ARRAY = [
 	REACT_QUERY_KEY.GET_ENDPOINT_STATUS_CODE_BAR_CHARTS_DATA,
 	REACT_QUERY_KEY.GET_ENDPOINT_STATUS_CODE_LATENCY_BAR_CHARTS_DATA,
 ];
+
+export const getRateOverTimeWidgetData = (
+	domainName: string,
+	endPointName: string,
+	filters: IBuilderQuery['filters'],
+): Widgets => {
+	const { endpoint, port } = extractPortAndEndpoint(endPointName);
+	const legend = `${
+		port !== '-' && port !== 'n/a' ? `${port}:` : ''
+	}${endpoint}`;
+	return getWidgetQueryBuilder(
+		getWidgetQuery({
+			title: 'Rate Over Time',
+			description: 'Rate over time.',
+			queryData: [
+				{
+					aggregateAttribute: {
+						dataType: DataTypes.String,
+						id: '------false',
+						isColumn: false,
+						key: '',
+						type: '',
+					},
+					aggregateOperator: 'rate',
+					dataSource: DataSource.TRACES,
+					disabled: false,
+					expression: 'A',
+					filters: {
+						items: [
+							{
+								id: '3c76fe0b',
+								key: {
+									dataType: DataTypes.String,
+									id: 'net.peer.name--string--tag--false',
+									isColumn: false,
+									isJSON: false,
+									key: 'net.peer.name',
+									type: 'tag',
+								},
+								op: '=',
+								value: domainName,
+							},
+							{
+								id: '30710f04',
+								key: {
+									dataType: DataTypes.String,
+									id: 'http.url--string--tag--false',
+									isColumn: false,
+									isJSON: false,
+									key: 'http.url',
+									type: 'tag',
+								},
+								op: '=',
+								value: endPointName,
+							},
+							...filters.items,
+						],
+						op: 'AND',
+					},
+					functions: [],
+					groupBy: [
+						{
+							dataType: DataTypes.String,
+							id: 'http.url--string--tag--false',
+							isColumn: false,
+							isJSON: false,
+							key: 'http.url',
+							type: 'tag',
+						},
+					],
+					having: [],
+					legend,
+					limit: null,
+					orderBy: [],
+					queryName: 'A',
+					reduceTo: 'avg',
+					spaceAggregation: 'sum',
+					stepInterval: 60,
+					timeAggregation: 'rate',
+				},
+			],
+			yAxisUnit: 'ops/s',
+		}),
+	);
+};
+
+export const getLatencyOverTimeWidgetData = (
+	domainName: string,
+	endPointName: string,
+	filters: IBuilderQuery['filters'],
+): Widgets => {
+	const { endpoint, port } = extractPortAndEndpoint(endPointName);
+	const legend = `${port}:${endpoint}`;
+	return getWidgetQueryBuilder(
+		getWidgetQuery({
+			title: 'Latency Over Time',
+			description: 'Latency over time.',
+			queryData: [
+				{
+					aggregateAttribute: {
+						dataType: DataTypes.Float64,
+						id: 'duration_nano--float64----true',
+						isColumn: true,
+						isJSON: false,
+						key: 'duration_nano',
+						type: '',
+					},
+					aggregateOperator: 'p99',
+					dataSource: DataSource.TRACES,
+					disabled: false,
+					expression: 'A',
+					filters: {
+						items: [
+							{
+								id: '63adb3ff',
+								key: {
+									dataType: DataTypes.String,
+									id: 'net.peer.name--string--tag--false',
+									isColumn: false,
+									isJSON: false,
+									key: 'net.peer.name',
+									type: 'tag',
+								},
+								op: '=',
+								value: domainName,
+							},
+							{
+								id: '50142500',
+								key: {
+									dataType: DataTypes.String,
+									id: 'http.url--string--tag--false',
+									isColumn: false,
+									isJSON: false,
+									key: 'http.url',
+									type: 'tag',
+								},
+								op: '=',
+								value: endPointName,
+							},
+							...filters.items,
+						],
+						op: 'AND',
+					},
+					functions: [],
+					groupBy: [
+						{
+							dataType: DataTypes.String,
+							id: 'http.url--string--tag--false',
+							isColumn: false,
+							isJSON: false,
+							key: 'http.url',
+							type: 'tag',
+						},
+					],
+					having: [],
+					legend,
+					limit: null,
+					orderBy: [],
+					queryName: 'A',
+					reduceTo: 'avg',
+					spaceAggregation: 'sum',
+					stepInterval: 60,
+					timeAggregation: 'p99',
+				},
+			],
+			yAxisUnit: 'ns',
+		}),
+	);
+};
+
+/**
+ * Helper function to get the start and end status codes from a status code range string
+ * @param value Status code range string (e.g. '200-299') or boolean
+ * @returns Tuple of [startStatusCode, endStatusCode] as strings
+ */
+const getStartAndEndStatusCode = (
+	value: string | boolean,
+): [string, string] => {
+	if (!value) {
+		return ['', ''];
+	}
+
+	switch (value) {
+		case '100-199':
+			return ['100', '199'];
+		case '200-299':
+			return ['200', '299'];
+		case '300-399':
+			return ['300', '399'];
+		case '400-499':
+			return ['400', '499'];
+		case '500-599':
+			return ['500', '599'];
+		default:
+			return ['', ''];
+	}
+};
+
+/**
+ * Creates filter items for bar chart based on group by fields and request data
+ * Used specifically for filtering status code ranges in bar charts
+ * @param groupBy Array of group by fields to create filters for
+ * @param requestData Data from graph click containing values to filter on
+ * @returns Array of TagFilterItems with >= and < operators for status code ranges
+ */
+export const createGroupByFiltersForBarChart = (
+	groupBy: BaseAutocompleteData[],
+	requestData: GraphClickMetaData,
+): TagFilterItem[] =>
+	groupBy
+		.map((gb) => {
+			const value = requestData[gb.key];
+			const [startStatusCode, endStatusCode] = getStartAndEndStatusCode(value);
+			return value
+				? [
+						{
+							id: v4(),
+							key: gb,
+							op: '>=',
+							value: startStatusCode,
+						},
+						{
+							id: v4(),
+							key: gb,
+							op: '<=',
+							value: endStatusCode,
+						},
+				  ]
+				: [];
+		})
+		.flat();
+
+export const getCustomFiltersForBarChart = (
+	metric:
+		| {
+				[key: string]: string;
+		  }
+		| undefined,
+): TagFilterItem[] => {
+	if (!metric?.response_status_code) {
+		return [];
+	}
+	const [startStatusCode, endStatusCode] = getStartAndEndStatusCode(
+		metric.response_status_code,
+	);
+	return [
+		{
+			id: v4(),
+			key: {
+				dataType: DataTypes.String,
+				id: 'response_status_code--string--tag--false',
+				isColumn: false,
+				isJSON: false,
+				key: 'response_status_code',
+				type: 'tag',
+			},
+			op: '>=',
+			value: startStatusCode,
+		},
+		{
+			id: v4(),
+			key: {
+				dataType: DataTypes.String,
+				id: 'response_status_code--string--tag--false',
+				isColumn: false,
+				isJSON: false,
+				key: 'response_status_code',
+				type: 'tag',
+			},
+			op: '<=',
+			value: endStatusCode,
+		},
+	];
+};

frontend/src/container/GridCardLayout/GridCard/FullView/index.tsx

@@ -49,6 +49,7 @@ function FullView({
 	isDependedDataLoaded = false,
 	onToggleModelHandler,
 	onClickHandler,
+	customOnDragSelect,
 	setCurrentGraphRef,
 }: FullViewProps): JSX.Element {
 	const { safeNavigate } = useSafeNavigate();
@@ -252,7 +253,7 @@ function FullView({
 						onToggleModelHandler={onToggleModelHandler}
 						setGraphVisibility={setGraphsVisibilityStates}
 						graphVisibility={graphsVisibilityStates}
-						onDragSelect={onDragSelect}
+						onDragSelect={customOnDragSelect ?? onDragSelect}
 						tableProcessedDataRef={tableProcessedDataRef}
 						searchTerm={searchTerm}
 						onClickHandler={onClickHandler}

frontend/src/container/GridCardLayout/GridCard/FullView/types.ts

@@ -50,6 +50,7 @@ export interface FullViewProps {
 	widget: Widgets;
 	fullViewOptions?: boolean;
 	onClickHandler?: OnClickPluginOpts['onClick'];
+	customOnDragSelect?: (start: number, end: number) => void;
 	name: string;
 	tableProcessedDataRef: MutableRefObject<RowData[]>;
 	version?: string;

frontend/src/container/GridCardLayout/GridCard/WidgetGraphComponent.tsx

@@ -50,6 +50,7 @@ function WidgetGraphComponent({
 	setRequestData,
 	onClickHandler,
 	onDragSelect,
+	customOnDragSelect,
 	customTooltipElement,
 	openTracesButton,
 	onOpenTraceBtnClick,
@@ -327,6 +328,7 @@ function WidgetGraphComponent({
 					onToggleModelHandler={onToggleModelHandler}
 					tableProcessedDataRef={tableProcessedDataRef}
 					onClickHandler={onClickHandler ?? graphClickHandler}
+					customOnDragSelect={customOnDragSelect}
 					setCurrentGraphRef={setCurrentGraphRef}
 				/>
 			</Modal>

frontend/src/container/GridCardLayout/GridCard/index.tsx

@@ -36,6 +36,7 @@ function GridCardGraph({
 	version,
 	onClickHandler,
 	onDragSelect,
+	customOnDragSelect,
 	customTooltipElement,
 	dataAvailable,
 	getGraphData,
@@ -272,6 +273,7 @@ function GridCardGraph({
 					setRequestData={setRequestData}
 					onClickHandler={onClickHandler}
 					onDragSelect={onDragSelect}
+					customOnDragSelect={customOnDragSelect}
 					customTooltipElement={customTooltipElement}
 					openTracesButton={openTracesButton}
 					onOpenTraceBtnClick={onOpenTraceBtnClick}

frontend/src/container/GridCardLayout/GridCard/types.ts

@@ -33,6 +33,7 @@ export interface WidgetGraphComponentProps {
 	setRequestData?: Dispatch<SetStateAction<GetQueryResultsProps>>;
 	onClickHandler?: OnClickPluginOpts['onClick'];
 	onDragSelect: (start: number, end: number) => void;
+	customOnDragSelect?: (start: number, end: number) => void;
 	customTooltipElement?: HTMLDivElement;
 	openTracesButton?: boolean;
 	onOpenTraceBtnClick?: (record: RowData) => void;
@@ -49,6 +50,7 @@ export interface GridCardGraphProps {
 	variables?: Dashboard['data']['variables'];
 	version?: string;
 	onDragSelect: (start: number, end: number) => void;
+	customOnDragSelect?: (start: number, end: number) => void;
 	customTooltipElement?: HTMLDivElement;
 	dataAvailable?: (isDataAvailable: boolean) => void;
 	getGraphData?: (graphData?: MetricRangePayloadProps['data']) => void;

frontend/src/container/GridCardLayout/GridCard/utils.ts

@@ -178,6 +178,7 @@ interface HandleGraphClickParams {
 	navigateToExplorer: (props: NavigateToExplorerProps) => void;
 	notifications: NotificationInstance;
 	graphClick: (props: GraphClickProps) => void;
+	customFilters?: TagFilterItem[];
 }
 
 export const handleGraphClick = async ({
@@ -192,6 +193,7 @@ export const handleGraphClick = async ({
 	navigateToExplorer,
 	notifications,
 	graphClick,
+	customFilters,
 }: HandleGraphClickParams): Promise<void> => {
 	const { stepInterval } = widget?.query?.builder?.queryData?.[0] ?? {};
 
@@ -221,7 +223,7 @@ export const handleGraphClick = async ({
 					  }: ${key}`,
 			onClick: (): void =>
 				navigateToExplorer({
-					filters: result[key].filters,
+					filters: [...result[key].filters, ...(customFilters || [])],
 					dataSource: result[key].dataSource as DataSource,
 					startTime: xValue,
 					endTime: xValue + (stepInterval ?? 60),

frontend/src/container/GridCardLayout/GridCardLayout.tsx

@@ -44,7 +44,10 @@ import { EditMenuAction, ViewMenuAction } from './config';
 import DashboardEmptyState from './DashboardEmptyState/DashboardEmptyState';
 import GridCard from './GridCard';
 import { Card, CardContainer, ReactGridLayout } from './styles';
-import { removeUndefinedValuesFromLayout } from './utils';
+import {
+	hasColumnWidthsChanged,
+	removeUndefinedValuesFromLayout,
+} from './utils';
 import { MenuItemKeys } from './WidgetHeader/contants';
 import { WidgetRowHeader } from './WidgetRow';
 
@@ -68,6 +71,7 @@ function GraphLayout(props: GraphLayoutProps): JSX.Element {
 		setDashboardQueryRangeCalled,
 		setSelectedRowWidgetId,
 		isDashboardFetching,
+		columnWidths,
 	} = useDashboard();
 	const { data } = selectedDashboard || {};
 	const { pathname } = useLocation();
@@ -162,6 +166,7 @@ function GraphLayout(props: GraphLayoutProps): JSX.Element {
 			logEventCalledRef.current = true;
 		}
 	}, [data]);
+
 	const onSaveHandler = (): void => {
 		if (!selectedDashboard) return;
 
@@ -171,6 +176,15 @@ function GraphLayout(props: GraphLayoutProps): JSX.Element {
 				...selectedDashboard.data,
 				panelMap: { ...currentPanelMap },
 				layout: dashboardLayout.filter((e) => e.i !== PANEL_TYPES.EMPTY_WIDGET),
+				widgets: selectedDashboard?.data?.widgets?.map((widget) => {
+					if (columnWidths?.[widget.id]) {
+						return {
+							...widget,
+							columnWidths: columnWidths[widget.id],
+						};
+					}
+					return widget;
+				}),
 			},
 			uuid: selectedDashboard.uuid,
 		};
@@ -227,20 +241,31 @@ function GraphLayout(props: GraphLayoutProps): JSX.Element {
 
 	useEffect(() => {
 		if (
+			isDashboardLocked ||
+			!saveLayoutPermission ||
+			updateDashboardMutation.isLoading ||
+			isDashboardFetching
+		) {
+			return;
+		}
+
+		const shouldSaveLayout =
 			dashboardLayout &&
 			Array.isArray(dashboardLayout) &&
 			dashboardLayout.length > 0 &&
-			!isEqual(layouts, dashboardLayout) &&
-			!isDashboardLocked &&
-			saveLayoutPermission &&
-			!updateDashboardMutation.isLoading &&
-			!isDashboardFetching
-		) {
+			!isEqual(layouts, dashboardLayout);
+
+		const shouldSaveColumnWidths =
+			dashboardLayout &&
+			Array.isArray(dashboardLayout) &&
+			dashboardLayout.length > 0 &&
+			hasColumnWidthsChanged(columnWidths, selectedDashboard);
+
+		if (shouldSaveLayout || shouldSaveColumnWidths) {
 			onSaveHandler();
 		}
-
 		// eslint-disable-next-line react-hooks/exhaustive-deps
-	}, [dashboardLayout]);
+	}, [dashboardLayout, columnWidths]);
 
 	const onSettingsModalSubmit = (): void => {
 		const newTitle = form.getFieldValue('title');

frontend/src/container/GridCardLayout/useNavigateToExplorerPages.ts

@@ -12,7 +12,7 @@ import { v4 } from 'uuid';
 
 import { extractQueryNamesFromExpression } from './utils';
 
-type GraphClickMetaData = {
+export type GraphClickMetaData = {
 	[key: string]: string | boolean;
 	queryName: string;
 	inFocusOrNot: boolean;

frontend/src/container/GridCardLayout/utils.ts

@@ -1,5 +1,7 @@
 import { FORMULA_REGEXP } from 'constants/regExp';
+import { isEmpty, isEqual } from 'lodash-es';
 import { Layout } from 'react-grid-layout';
+import { Dashboard, Widgets } from 'types/api/dashboard/getAll';
 
 export const removeUndefinedValuesFromLayout = (layout: Layout[]): Layout[] =>
 	layout.map((obj) =>
@@ -25,3 +27,27 @@ export function extractQueryNamesFromExpression(expression: string): string[] {
 	// Extract matches and deduplicate
 	return [...new Set(expression.match(queryNameRegex) || [])];
 }
+
+export const hasColumnWidthsChanged = (
+	columnWidths: Record<string, Record<string, number>>,
+	selectedDashboard?: Dashboard,
+): boolean => {
+	// If no column widths stored, no changes
+	if (isEmpty(columnWidths) || !selectedDashboard) return false;
+
+	// Check each widget's column widths
+	return Object.keys(columnWidths).some((widgetId) => {
+		const dashboardWidget = selectedDashboard?.data?.widgets?.find(
+			(widget) => widget.id === widgetId,
+		) as Widgets;
+
+		const newWidths = columnWidths[widgetId];
+		const existingWidths = dashboardWidget?.columnWidths;
+
+		// If both are empty/undefined, no change
+		if (isEmpty(newWidths) || isEmpty(existingWidths)) return false;
+
+		// Compare stored column widths with dashboard widget's column widths
+		return !isEqual(newWidths, existingWidths);
+	});
+};

frontend/src/container/GridTableComponent/index.tsx

@@ -43,6 +43,7 @@ function GridTableComponent({
 	sticky,
 	openTracesButton,
 	onOpenTraceBtnClick,
+	widgetId,
 	...props
 }: GridTableComponentProps): JSX.Element {
 	const { t } = useTranslation(['valueGraph']);
@@ -229,6 +230,7 @@ function GridTableComponent({
 				columns={openTracesButton ? columnDataWithOpenTracesButton : newColumnData}
 				dataSource={dataSource}
 				sticky={sticky}
+				widgetId={widgetId}
 				onRow={
 					openTracesButton
 						? (record): React.HTMLAttributes<HTMLElement> => ({

frontend/src/container/GridTableComponent/types.ts

@@ -17,6 +17,7 @@ export type GridTableComponentProps = {
 	searchTerm?: string;
 	openTracesButton?: boolean;
 	onOpenTraceBtnClick?: (record: RowData) => void;
+	widgetId?: string;
 } & Pick<LogsExplorerTableProps, 'data'> &
 	Omit<TableProps<RowData>, 'columns' | 'dataSource'>;
 

frontend/src/container/LogsPanelTable/LogsPanelComponent.tsx

@@ -1,9 +1,9 @@
 import './LogsPanelComponent.styles.scss';
 
-import { Table } from 'antd';
 import LogDetail from 'components/LogDetail';
 import { VIEW_TYPES } from 'components/LogDetail/constants';
 import OverlayScrollbar from 'components/OverlayScrollbar/OverlayScrollbar';
+import { ResizeTable } from 'components/ResizeTable';
 import { SOMETHING_WENT_WRONG } from 'constants/api';
 import { PANEL_TYPES } from 'constants/queryBuilder';
 import Controls from 'container/Controls';
@@ -79,9 +79,14 @@ function LogsPanelComponent({
 
 	const { formatTimezoneAdjustedTimestamp } = useTimezone();
 
-	const columns = getLogPanelColumnsList(
-		widget.selectedLogFields,
-		formatTimezoneAdjustedTimestamp,
+	const columns = useMemo(
+		() =>
+			getLogPanelColumnsList(
+				widget.selectedLogFields,
+				formatTimezoneAdjustedTimestamp,
+			),
+		// eslint-disable-next-line react-hooks/exhaustive-deps
+		[widget.selectedLogFields],
 	);
 
 	const dataLength =
@@ -216,16 +221,18 @@ function LogsPanelComponent({
 			<div className="logs-table">
 				<div className="resize-table">
 					<OverlayScrollbar>
-						<Table
+						<ResizeTable
 							pagination={false}
 							tableLayout="fixed"
-							scroll={{ x: `calc(50vw - 10px)` }}
+							scroll={{ x: `max-content` }}
 							sticky
 							loading={queryResponse.isFetching}
 							style={tableStyles}
 							dataSource={flattenLogData}
 							columns={columns}
 							onRow={handleRow}
+							widgetId={widget.id}
+							shouldPersistColumnWidths
 						/>
 					</OverlayScrollbar>
 				</div>

frontend/src/container/NewWidget/index.tsx

@@ -74,6 +74,7 @@ function NewWidget({ selectedGraph }: NewWidgetProps): JSX.Element {
 		setToScrollWidgetId,
 		selectedRowWidgetId,
 		setSelectedRowWidgetId,
+		columnWidths,
 	} = useDashboard();
 
 	const { t } = useTranslation(['dashboard']);
@@ -238,8 +239,10 @@ function NewWidget({ selectedGraph }: NewWidgetProps): JSX.Element {
 				selectedLogFields,
 				selectedTracesFields,
 				isLogScale,
+				columnWidths: columnWidths?.[selectedWidget?.id],
 			};
 		});
+		// eslint-disable-next-line react-hooks/exhaustive-deps
 	}, [
 		columnUnits,
 		currentQuery,
@@ -260,6 +263,7 @@ function NewWidget({ selectedGraph }: NewWidgetProps): JSX.Element {
 		combineHistogram,
 		stackedBarChart,
 		isLogScale,
+		columnWidths,
 	]);
 
 	const closeModal = (): void => {

frontend/src/container/PanelWrapper/TablePanelWrapper.tsx

@@ -26,6 +26,7 @@ function TablePanelWrapper({
 			searchTerm={searchTerm}
 			openTracesButton={openTracesButton}
 			onOpenTraceBtnClick={onOpenTraceBtnClick}
+			widgetId={widget.id}
 			// eslint-disable-next-line react/jsx-props-no-spreading
 			{...GRID_TABLE_CONFIG}
 		/>

frontend/src/container/PanelWrapper/__tests__/__snapshots__/TablePanelWrapper.test.tsx.snap

@@ -9,6 +9,8 @@ exports[`Table panel wrappper tests table should render fine with the query resp
   width: 0.625rem;
   height: 100%;
   cursor: col-resize;
+  margin-left: 4px;
+  margin-right: 4px;
 }
 
 .c0 {
@@ -54,7 +56,7 @@ exports[`Table panel wrappper tests table should render fine with the query resp
       class="query-table"
     >
       <div
-        class="ant-table-wrapper css-dev-only-do-not-override-2i2tap"
+        class="ant-table-wrapper resize-main-table css-dev-only-do-not-override-2i2tap"
       >
         <div
           class="ant-spin-nested-loading css-dev-only-do-not-override-2i2tap"
@@ -82,7 +84,7 @@ exports[`Table panel wrappper tests table should render fine with the query resp
                       <tr>
                         <th
                           aria-label="service_name"
-                          class="ant-table-cell ant-table-column-has-sorters react-resizable"
+                          class="resizable-header react-resizable"
                           scope="col"
                           tabindex="0"
                         >
@@ -143,12 +145,12 @@ exports[`Table panel wrappper tests table should render fine with the query resp
                             </span>
                           </div>
                           <span
-                            class="c1 react-resizable-handle"
+                            class="c1 resize-handle"
                           />
                         </th>
                         <th
                           aria-label="latency-per-service"
-                          class="ant-table-cell ant-table-column-has-sorters react-resizable"
+                          class="resizable-header react-resizable"
                           scope="col"
                           tabindex="0"
                         >
@@ -209,7 +211,7 @@ exports[`Table panel wrappper tests table should render fine with the query resp
                             </span>
                           </div>
                           <span
-                            class="c1 react-resizable-handle"
+                            class="c1 resize-handle"
                           />
                         </th>
                       </tr>
@@ -221,7 +223,7 @@ exports[`Table panel wrappper tests table should render fine with the query resp
                   style="overflow-x: auto; overflow-y: hidden;"
                 >
                   <table
-                    style="width: auto; min-width: 100%; table-layout: fixed;"
+                    style="min-width: 100%; table-layout: fixed;"
                   >
                     <colgroup>
                       <col

frontend/src/container/QueryBuilder/components/Query/Query.tsx

@@ -453,7 +453,7 @@ export const Query = memo(function Query({
 										</Col>
 									)}
 									<Col flex="1" className="qb-search-container">
-										{query.dataSource === DataSource.LOGS ? (
+										{[DataSource.LOGS, DataSource.TRACES].includes(query.dataSource) ? (
 											<QueryBuilderSearchV2
 												query={query}
 												onChange={handleChangeTagFilters}

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

@@ -2,6 +2,7 @@
 import './QueryBuilderSearchV2.styles.scss';
 
 import { Typography } from 'antd';
+import cx from 'classnames';
 import {
 	ArrowDown,
 	ArrowUp,
@@ -25,6 +26,7 @@ interface ICustomDropdownProps {
 	exampleQueries: TagFilter[];
 	onChange: (value: TagFilter) => void;
 	currentFilterItem?: ITag;
+	isLogsDataSource: boolean;
 }
 
 export default function QueryBuilderSearchDropdown(
@@ -38,11 +40,14 @@ export default function QueryBuilderSearchDropdown(
 		exampleQueries,
 		options,
 		onChange,
+		isLogsDataSource,
 	} = props;
 	const userOs = getUserOperatingSystem();
 	return (
 		<>
-			<div className="content">
+			<div
+				className={cx('content', { 'non-logs-data-source': !isLogsDataSource })}
+			>
 				{!currentFilterItem?.key ? (
 					<div className="suggested-filters">Suggested Filters</div>
 				) : !currentFilterItem?.op ? (

frontend/src/container/QueryBuilder/filters/QueryBuilderSearchV2/QueryBuilderSearchV2.styles.scss

@@ -11,6 +11,11 @@
 			.rc-virtual-list-holder {
 				height: 115px;
 			}
+			&.non-logs-data-source {
+				.rc-virtual-list-holder {
+					height: 256px;
+				}
+			}
 		}
 	}
 

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

@@ -689,12 +689,29 @@ function QueryBuilderSearchV2(
 					})),
 				);
 			} else {
-				setDropdownOptions(
-					data?.payload?.attributeKeys?.map((key) => ({
+				setDropdownOptions([
+					// Add user typed option if it doesn't exist in the payload
+					...(!isEmpty(tagKey) &&
+					!data?.payload?.attributeKeys?.some((val) => isEqual(val.key, tagKey))
+						? [
+								{
+									label: tagKey,
+									value: {
+										key: tagKey,
+										dataType: DataTypes.EMPTY,
+										type: '',
+										isColumn: false,
+										isJSON: false,
+									},
+								},
+						  ]
+						: []),
+					// Map existing attribute keys from payload
+					...(data?.payload?.attributeKeys?.map((key) => ({
 						label: key.key,
 						value: key,
-					})) || [],
-				);
+					})) || []),
+				]);
 			}
 		}
 		if (currentState === DropdownState.OPERATOR) {
@@ -964,6 +981,7 @@ function QueryBuilderSearchV2(
 						exampleQueries={suggestionsData?.payload?.example_queries || []}
 						tags={tags}
 						currentFilterItem={currentFilterItem}
+						isLogsDataSource={isLogsDataSource}
 					/>
 				)}
 			>

frontend/src/container/QueryTable/QueryTable.intefaces.ts

@@ -20,4 +20,5 @@ export type QueryTableProps = Omit<
 	dataSource?: RowData[];
 	sticky?: TableProps<RowData>['sticky'];
 	searchTerm?: string;
+	widgetId?: string;
 };

frontend/src/container/QueryTable/QueryTable.tsx

@@ -24,6 +24,7 @@ export function QueryTable({
 	dataSource,
 	sticky,
 	searchTerm,
+	widgetId,
 	...props
 }: QueryTableProps): JSX.Element {
 	const { isDownloadEnabled = false, fileName = '' } = downloadOption || {};
@@ -95,8 +96,10 @@ export function QueryTable({
 				columns={tableColumns}
 				tableLayout="fixed"
 				dataSource={filterTable === null ? newDataSource : filterTable}
-				scroll={{ x: true }}
+				scroll={{ x: 'max-content' }}
 				pagination={paginationConfig}
+				widgetId={widgetId}
+				shouldPersistColumnWidths
 				sticky={sticky}
 				// eslint-disable-next-line react/jsx-props-no-spreading
 				{...props}

frontend/src/container/SideNav/SideNav.tsx

@@ -279,6 +279,17 @@ function SideNav(): JSX.Element {
 		let updatedUserManagementItems: UserManagementMenuItems[] = [
 			manageLicenseMenuItem,
 		];
+
+		const isApiMonitoringEnabled = featureFlags?.find(
+			(flag) => flag.name === FeatureKeys.THIRD_PARTY_API,
+		)?.active;
+
+		if (!isApiMonitoringEnabled) {
+			updatedMenuItems = updatedMenuItems.filter(
+				(item) => item.key !== ROUTES.API_MONITORING,
+			);
+		}
+
 		if (isCloudUserVal || isEECloudUserVal) {
 			const isOnboardingEnabled =
 				featureFlags?.find((feature) => feature.name === FeatureKeys.ONBOARDING)

frontend/src/container/SideNav/menuItems.tsx

@@ -128,6 +128,7 @@ const menuItems: SidebarItem[] = [
 		key: ROUTES.API_MONITORING,
 		label: 'API Monitoring',
 		icon: <Binoculars size={16} />,
+		isNew: true,
 	},
 	{
 		key: ROUTES.LIST_ALL_ALERT,

frontend/src/container/TracesTableComponent/TracesTableComponent.tsx

@@ -1,7 +1,7 @@
 import './TracesTableComponent.styles.scss';
 
-import { Table } from 'antd';
 import OverlayScrollbar from 'components/OverlayScrollbar/OverlayScrollbar';
+import { ResizeTable } from 'components/ResizeTable';
 import { SOMETHING_WENT_WRONG } from 'constants/api';
 import Controls from 'container/Controls';
 import { PER_PAGE_OPTIONS } from 'container/TracesExplorer/ListView/configs';
@@ -54,9 +54,14 @@ function TracesTableComponent({
 
 	const { formatTimezoneAdjustedTimestamp } = useTimezone();
 
-	const columns = getListColumns(
-		widget.selectedTracesFields || [],
-		formatTimezoneAdjustedTimestamp,
+	const columns = useMemo(
+		() =>
+			getListColumns(
+				widget.selectedTracesFields || [],
+				formatTimezoneAdjustedTimestamp,
+			),
+		// eslint-disable-next-line react-hooks/exhaustive-deps
+		[widget.selectedTracesFields],
 	);
 
 	const dataLength =
@@ -116,16 +121,18 @@ function TracesTableComponent({
 		<div className="traces-table">
 			<div className="resize-table">
 				<OverlayScrollbar>
-					<Table
+					<ResizeTable
 						pagination={false}
 						tableLayout="fixed"
-						scroll={{ x: true }}
+						scroll={{ x: 'max-content' }}
 						loading={queryResponse.isFetching}
 						style={tableStyles}
 						dataSource={transformedQueryTableData}
 						columns={columns}
 						onRow={handleRow}
 						sticky
+						widgetId={widget.id}
+						shouldPersistColumnWidths
 					/>
 				</OverlayScrollbar>
 			</div>

frontend/src/hooks/queryBuilder/useOptions.ts

@@ -170,11 +170,7 @@ export const useOptions = (
 					(option, index, self) =>
 						index ===
 							self.findIndex(
-								(o) =>
-									// to remove duplicate & empty options from list
-									o.label === option.label &&
-									o.value === option.value &&
-									o.dataType?.toLowerCase() === option.dataType?.toLowerCase(), // handle case sensitivity
+								(o) => o.label === option.label && o.value === option.value, // to remove duplicate & empty options from list
 							) && option.value !== '',
 				) || []
 			).map((option) => {

frontend/src/pages/TracesModulePage/TracesModulePage.tsx

@@ -2,18 +2,24 @@ import './TracesModulePage.styles.scss';
 
 import RouteTab from 'components/RouteTab';
 import { TabRoutes } from 'components/RouteTab/types';
+import { FeatureKeys } from 'constants/features';
 import history from 'lib/history';
+import { useAppContext } from 'providers/App/App';
 import { useLocation } from 'react-router-dom';
 
 import { tracesExplorer, tracesFunnel, tracesSaveView } from './constants';
 
 function TracesModulePage(): JSX.Element {
 	const { pathname } = useLocation();
+	const { featureFlags } = useAppContext();
+
+	const isTraceFunnelsEnabled =
+		featureFlags?.find((flag) => flag.name === FeatureKeys.TRACE_FUNNELS)
+			?.active || false;
 
 	const routes: TabRoutes[] = [
 		tracesExplorer,
-		// TODO(shaheer): remove this check after everything is ready
-		process.env.NODE_ENV === 'development' ? tracesFunnel : null,
+		isTraceFunnelsEnabled ? tracesFunnel : null,
 		tracesSaveView,
 	].filter(Boolean) as TabRoutes[];
 

frontend/src/providers/Dashboard/Dashboard.tsx

@@ -40,7 +40,11 @@ import { Dashboard, IDashboardVariable } from 'types/api/dashboard/getAll';
 import { GlobalReducer } from 'types/reducer/globalTime';
 import { v4 as generateUUID } from 'uuid';
 
-import { DashboardSortOrder, IDashboardContext } from './types';
+import {
+	DashboardSortOrder,
+	IDashboardContext,
+	WidgetColumnWidths,
+} from './types';
 import { sortLayout } from './util';
 
 const DashboardContext = createContext<IDashboardContext>({
@@ -74,6 +78,8 @@ const DashboardContext = createContext<IDashboardContext>({
 	selectedRowWidgetId: '',
 	setSelectedRowWidgetId: () => {},
 	isDashboardFetching: false,
+	columnWidths: {},
+	setColumnWidths: () => {},
 });
 
 interface Props {
@@ -408,6 +414,8 @@ export function DashboardProvider({
 		}
 	};
 
+	const [columnWidths, setColumnWidths] = useState<WidgetColumnWidths>({});
+
 	const value: IDashboardContext = useMemo(
 		() => ({
 			toScrollWidgetId,
@@ -435,6 +443,8 @@ export function DashboardProvider({
 			selectedRowWidgetId,
 			setSelectedRowWidgetId,
 			isDashboardFetching,
+			columnWidths,
+			setColumnWidths,
 		}),
 		// eslint-disable-next-line react-hooks/exhaustive-deps
 		[
@@ -457,6 +467,8 @@ export function DashboardProvider({
 			selectedRowWidgetId,
 			setSelectedRowWidgetId,
 			isDashboardFetching,
+			columnWidths,
+			setColumnWidths,
 		],
 	);
 

frontend/src/providers/Dashboard/types.ts

@@ -10,6 +10,10 @@ export interface DashboardSortOrder {
 	search: string;
 }
 
+export type WidgetColumnWidths = {
+	[widgetId: string]: Record<string, number>;
+};
+
 export interface IDashboardContext {
 	isDashboardSliderOpen: boolean;
 	isDashboardLocked: boolean;
@@ -48,4 +52,6 @@ export interface IDashboardContext {
 	selectedRowWidgetId: string | null;
 	setSelectedRowWidgetId: React.Dispatch<React.SetStateAction<string | null>>;
 	isDashboardFetching: boolean;
+	columnWidths: WidgetColumnWidths;
+	setColumnWidths: React.Dispatch<React.SetStateAction<WidgetColumnWidths>>;
 }

frontend/src/providers/QueryBuilder.tsx

@@ -764,10 +764,7 @@ export function QueryBuilderProvider({
 	);
 
 	const { safeNavigate } = useSafeNavigate({
-		preventSameUrlNavigation: !(
-			initialDataSource === DataSource.LOGS ||
-			initialDataSource === DataSource.TRACES
-		),
+		preventSameUrlNavigation: false,
 	});
 
 	const redirectWithQueryBuilderData = useCallback(

frontend/src/types/api/dashboard/getAll.ts

@@ -109,6 +109,7 @@ export interface IBaseWidget {
 	selectedLogFields: IField[] | null;
 	selectedTracesFields: BaseAutocompleteData[] | null;
 	isLogScale?: boolean;
+	columnWidths?: Record<string, number>;
 }
 export interface Widgets extends IBaseWidget {
 	query: Query;

go.mod

@@ -6,6 +6,7 @@ toolchain go1.22.7
 
 require (
 	dario.cat/mergo v1.0.1
+	github.com/AfterShip/clickhouse-sql-parser v0.4.4
 	github.com/ClickHouse/clickhouse-go/v2 v2.30.0
 	github.com/DATA-DOG/go-sqlmock v1.5.2
 	github.com/SigNoz/govaluate v0.0.0-20240203125216-988004ccc7fd
@@ -21,6 +22,7 @@ require (
 	github.com/go-redis/redis/v8 v8.11.5
 	github.com/go-redis/redismock/v8 v8.11.5
 	github.com/go-viper/mapstructure/v2 v2.1.0
+	github.com/gojek/heimdall/v7 v7.0.3
 	github.com/golang-jwt/jwt/v5 v5.2.1
 	github.com/google/uuid v1.6.0
 	github.com/gorilla/handlers v1.5.1
@@ -61,6 +63,7 @@ require (
 	go.opentelemetry.io/collector/pdata v1.17.0
 	go.opentelemetry.io/collector/processor v0.111.0
 	go.opentelemetry.io/contrib/config v0.10.0
+	go.opentelemetry.io/contrib/instrumentation/net/http/otelhttp v0.55.0
 	go.opentelemetry.io/otel v1.34.0
 	go.opentelemetry.io/otel/metric v1.34.0
 	go.opentelemetry.io/otel/sdk v1.34.0
@@ -128,6 +131,7 @@ require (
 	github.com/goccy/go-json v0.10.3 // indirect
 	github.com/gofrs/uuid v4.4.0+incompatible // indirect
 	github.com/gogo/protobuf v1.3.2 // indirect
+	github.com/gojek/valkyrie v0.0.0-20180215180059-6aee720afcdf // indirect
 	github.com/golang/groupcache v0.0.0-20210331224755-41bb18bfe9da // indirect
 	github.com/golang/protobuf v1.5.4 // indirect
 	github.com/golang/snappy v0.0.5-0.20220116011046-fa5810519dcb // indirect
@@ -201,6 +205,7 @@ require (
 	github.com/smarty/assertions v1.15.0 // indirect
 	github.com/spf13/cobra v1.8.1 // indirect
 	github.com/spf13/pflag v1.0.5 // indirect
+	github.com/stretchr/objx v0.5.2 // indirect
 	github.com/tidwall/match v1.1.1 // indirect
 	github.com/tidwall/pretty v1.2.0 // indirect
 	github.com/tklauser/go-sysconf v0.3.13 // indirect
@@ -245,7 +250,6 @@ require (
 	go.opentelemetry.io/collector/receiver/receiverprofiles v0.111.0 // indirect
 	go.opentelemetry.io/collector/semconv v0.111.0 // indirect
 	go.opentelemetry.io/collector/service v0.111.0 // indirect
-	go.opentelemetry.io/contrib/instrumentation/net/http/otelhttp v0.55.0 // indirect
 	go.opentelemetry.io/contrib/propagators/b3 v1.30.0 // indirect
 	go.opentelemetry.io/otel/exporters/otlp/otlplog/otlploghttp v0.6.0 // indirect
 	go.opentelemetry.io/otel/exporters/otlp/otlpmetric/otlpmetricgrpc v1.30.0 // indirect

go.sum

@@ -64,6 +64,8 @@ dario.cat/mergo v1.0.1/go.mod h1:uNxQE+84aUszobStD9th8a29P2fMDhsBdgRYvZOxGmk=
 dmitri.shuralyov.com/gpu/mtl v0.0.0-20190408044501-666a987793e9/go.mod h1:H6x//7gZCb22OMCxBHrMx7a5I7Hp++hsVxbQ4BYO7hU=
 filippo.io/edwards25519 v1.1.0 h1:FNf4tywRC1HmFuKW5xopWpigGjJKiJSV0Cqo0cJWDaA=
 filippo.io/edwards25519 v1.1.0/go.mod h1:BxyFTGdWcka3PhytdK4V28tE5sGfRvvvRV7EaN4VDT4=
+github.com/AfterShip/clickhouse-sql-parser v0.4.4 h1:iLRwjzz1mWmUEf5UNrSYOceQ+PX9SdBJ8Xw0DNrL114=
+github.com/AfterShip/clickhouse-sql-parser v0.4.4/go.mod h1:W0Z82wJWkJxz2RVun/RMwxue3g7ut47Xxl+SFqdJGus=
 github.com/Azure/azure-sdk-for-go v68.0.0+incompatible h1:fcYLmCpyNYRnvJbPerq7U0hS+6+I79yEDJBqVNcqUzU=
 github.com/Azure/azure-sdk-for-go/sdk/azcore v1.14.0 h1:nyQWyZvwGTvunIMxi1Y9uXkcyr+I7TeNrr/foo4Kpk8=
 github.com/Azure/azure-sdk-for-go/sdk/azcore v1.14.0/go.mod h1:l38EPgmsp71HHLq9j7De57JcKOWPyhrsW1Awm1JS6K0=
@@ -88,6 +90,7 @@ github.com/Code-Hex/go-generics-cache v1.5.1/go.mod h1:qxcC9kRVrct9rHeiYpFWSoW1v
 github.com/DATA-DOG/go-sqlmock v1.5.2 h1:OcvFkGmslmlZibjAjaHm3L//6LiuBgolP7OputlJIzU=
 github.com/DATA-DOG/go-sqlmock v1.5.2/go.mod h1:88MAG/4G7SMwSE3CeA0ZKzrT5CiOU3OJ+JlNzwDqpNU=
 github.com/DataDog/datadog-go v3.2.0+incompatible/go.mod h1:LButxg5PwREeZtORoXG3tL4fMGNddJ+vMq1mwgfaqoQ=
+github.com/DataDog/datadog-go v3.7.1+incompatible/go.mod h1:LButxg5PwREeZtORoXG3tL4fMGNddJ+vMq1mwgfaqoQ=
 github.com/Microsoft/go-winio v0.6.2 h1:F2VQgta7ecxGYO8k3ZZz3RS8fVIXVxONVUPlNERoyfY=
 github.com/Microsoft/go-winio v0.6.2/go.mod h1:yd8OoFMLzJbo9gZq8j5qaps8bJ9aShtEA8Ipt1oGCvU=
 github.com/OneOfOne/xxhash v1.2.2/go.mod h1:HSdplMjZKSmBqAxg5vPj2TmRDmfkzw+cTzAElWljhcU=
@@ -97,6 +100,7 @@ github.com/SigNoz/prometheus v1.13.0 h1:hsUql1zd83ifXtswO9Qk1rpCgVjE/ItQvgdNocBS
 github.com/SigNoz/prometheus v1.13.0/go.mod h1:4PC0dxmx6y3kNI2d9oOTvEFTPkH6QnxDxERyqeL1hvI=
 github.com/SigNoz/signoz-otel-collector v0.111.16 h1:535uKH5Oux+35EsI+L3C6pnAP/Ye0PTCbVizXoL+VqE=
 github.com/SigNoz/signoz-otel-collector v0.111.16/go.mod h1:HJ4m0LY1MPsuZmuRF7Ixb+bY8rxgRzI0VXzOedESsjg=
+github.com/afex/hystrix-go v0.0.0-20180502004556-fa1af6a1f4f5/go.mod h1:SkGFH1ia65gfNATL8TAiHDNxPzPdmEL5uirI2Uyuz6c=
 github.com/alecthomas/template v0.0.0-20160405071501-a0175ee3bccc/go.mod h1:LOuyumcjzFXgccqObfd/Ljyb9UuFJ6TxHnclSeseNhc=
 github.com/alecthomas/template v0.0.0-20190718012654-fb15b899a751/go.mod h1:LOuyumcjzFXgccqObfd/Ljyb9UuFJ6TxHnclSeseNhc=
 github.com/alecthomas/units v0.0.0-20151022065526-2efee857e7cf/go.mod h1:ybxpYRFXyAe+OPACYpWeL0wqObRcbAqCMya13uyzqw0=
@@ -142,6 +146,7 @@ github.com/beorn7/perks v1.0.1/go.mod h1:G2ZrVWU2WbWT9wwq4/hrbKbnv/1ERSJQ0ibhJ6r
 github.com/bgentry/speakeasy v0.1.0/go.mod h1:+zsyZBPWlz7T6j88CTgSN5bM796AkVf0kBD4zp0CCIs=
 github.com/bmizerany/assert v0.0.0-20160611221934-b7ed37b82869 h1:DDGfHa7BWjL4YnC6+E63dPcxHo2sUxDIu8g3QgEJdRY=
 github.com/bmizerany/assert v0.0.0-20160611221934-b7ed37b82869/go.mod h1:Ekp36dRnpXw/yCqJaO+ZrUyxD+3VXMFFr56k5XYrpB4=
+github.com/cactus/go-statsd-client/statsd v0.0.0-20200423205355-cb0885a1018c/go.mod h1:l/bIBLeOl9eX+wxJAzxS4TveKRtAqlyDpHjhkfO0MEI=
 github.com/cenkalti/backoff/v4 v4.3.0 h1:MyRJ/UdXutAwSAT+s3wNd7MfTIcy71VQueUuFK343L8=
 github.com/cenkalti/backoff/v4 v4.3.0/go.mod h1:Y3VNntkOUPxTVeUxJ/G5vcM//AlwfmyYozVcomhLiZE=
 github.com/census-instrumentation/opencensus-proto v0.2.1/go.mod h1:f6KPmirojxKA12rnyqOA5BBL4O983OfeGPqjHWSTneU=
@@ -326,6 +331,10 @@ github.com/gofrs/uuid v4.4.0+incompatible/go.mod h1:b2aQJv3Z4Fp6yNu3cdSllBxTCLRx
 github.com/gogo/protobuf v1.1.1/go.mod h1:r8qH/GZQm5c6nD/R0oafs1akxWv10x8SbQlK7atdtwQ=
 github.com/gogo/protobuf v1.3.2 h1:Ov1cvc58UF3b5XjBnZv7+opcTcQFZebYjWzi34vdm4Q=
 github.com/gogo/protobuf v1.3.2/go.mod h1:P1XiOD3dCwIKUDQYPy72D8LYyHL2YPYrpS2s69NZV8Q=
+github.com/gojek/heimdall/v7 v7.0.3 h1:+5sAhl8S0m+qRRL8IVeHCJudFh/XkG3wyO++nvOg+gc=
+github.com/gojek/heimdall/v7 v7.0.3/go.mod h1:Z43HtMid7ysSjmsedPTXAki6jcdcNVnjn5pmsTyiMic=
+github.com/gojek/valkyrie v0.0.0-20180215180059-6aee720afcdf h1:5xRGbUdOmZKoDXkGx5evVLehuCMpuO1hl701bEQqXOM=
+github.com/gojek/valkyrie v0.0.0-20180215180059-6aee720afcdf/go.mod h1:QzhUKaYKJmcbTnCYCAVQrroCOY7vOOI8cSQ4NbuhYf0=
 github.com/golang-jwt/jwt/v5 v5.2.1 h1:OuVbFODueb089Lh128TAcimifWaLhJwVflnrgM17wHk=
 github.com/golang-jwt/jwt/v5 v5.2.1/go.mod h1:pqrtFR0X4osieyHYxtmOUWsAWrfe1Q5UVIyoH402zdk=
 github.com/golang/glog v0.0.0-20160126235308-23def4e6c14b/go.mod h1:SBH7ygxi8pfUlaOkMMuAQtPIUF8ecWP5IEl/CR7VP2Q=
@@ -431,6 +440,7 @@ github.com/googleapis/gax-go/v2 v2.4.0/go.mod h1:XOTVJ59hdnfJLIP/dh8n5CGryZR2LxK
 github.com/googleapis/google-cloud-go-testing v0.0.0-20200911160855-bcd43fbb19e8/go.mod h1:dvDLG8qkwmyD9a/MJJN3XJcT3xFxOKAvTZGvuZmac9g=
 github.com/gophercloud/gophercloud v1.14.0 h1:Bt9zQDhPrbd4qX7EILGmy+i7GP35cc+AAL2+wIJpUE8=
 github.com/gophercloud/gophercloud v1.14.0/go.mod h1:aAVqcocTSXh2vYFZ1JTvx4EQmfgzxRcNupUfxZbBNDM=
+github.com/gopherjs/gopherjs v0.0.0-20181017120253-0766667cb4d1/go.mod h1:wJfORRmW1u3UXTncJ5qlYoELFm8eSnnEO6hX4iZ3EWY=
 github.com/gopherjs/gopherjs v1.17.2 h1:fQnZVsXk8uxXIStYb0N4bGk7jeyTalG/wsZjQ25dO0g=
 github.com/gopherjs/gopherjs v1.17.2/go.mod h1:pRRIvn/QzFLrKfvEz3qUuEhtE/zLCWfreZ6J5gM2i+k=
 github.com/gorilla/handlers v1.5.1 h1:9lRY6j8DEeeBT10CvO9hGW0gmky0BprnvDI5vfhUHH4=
@@ -800,6 +810,7 @@ github.com/prometheus/procfs v0.15.1 h1:YagwOFzUgYfKKHX6Dr+sHT7km/hxC76UB0leargg
 github.com/prometheus/procfs v0.15.1/go.mod h1:fB45yRUv8NstnjriLhBQLuOUt+WW4BsoGhij/e3PBqk=
 github.com/puzpuzpuz/xsync/v3 v3.5.0 h1:i+cMcpEDY1BkNm7lPDkCtE4oElsYLn+EKF8kAu2vXT4=
 github.com/puzpuzpuz/xsync/v3 v3.5.0/go.mod h1:VjzYrABPabuM4KyBh1Ftq6u8nhwY5tBPKP9jpmh0nnA=
+github.com/rcrowley/go-metrics v0.0.0-20201227073835-cf1acfcdf475/go.mod h1:bCqnVzQkZxMG4s8nGwiZ5l3QUCyqpo9Y+/ZMZ9VjZe4=
 github.com/rhnvrm/simples3 v0.6.1/go.mod h1:Y+3vYm2V7Y4VijFoJHHTrja6OgPrJ2cBti8dPGkC3sA=
 github.com/robfig/cron/v3 v3.0.1 h1:WdRxkvbJztn8LMz/QEvLN5sBU+xKpSqwwUO1Pjr4qDs=
 github.com/robfig/cron/v3 v3.0.1/go.mod h1:eQICP3HwyT7UooqI/z+Ov+PtYAWygg1TEWWzGIFLtro=
@@ -827,10 +838,14 @@ github.com/scaleway/scaleway-sdk-go v1.0.0-beta.30 h1:yoKAVkEVwAqbGbR8n87rHQ1dul
 github.com/scaleway/scaleway-sdk-go v1.0.0-beta.30/go.mod h1:sH0u6fq6x4R5M7WxkoQFY/o7UaiItec0o1LinLCJNq8=
 github.com/sean-/seed v0.0.0-20170313163322-e2103e2c3529 h1:nn5Wsu0esKSJiIVhscUtVbo7ada43DJhG55ua/hjS5I=
 github.com/sean-/seed v0.0.0-20170313163322-e2103e2c3529/go.mod h1:DxrIzT+xaE7yg65j358z/aeFdxmN0P9QXhEzd20vsDc=
+github.com/sebdah/goldie/v2 v2.5.3 h1:9ES/mNN+HNUbNWpVAlrzuZ7jE+Nrczbj8uFRjM7624Y=
+github.com/sebdah/goldie/v2 v2.5.3/go.mod h1:oZ9fp0+se1eapSRjfYbsV/0Hqhbuu3bJVvKI/NNtssI=
 github.com/segmentio/asm v1.2.0 h1:9BQrFxC+YOHJlTlHGkTrFWf59nbL3XnCoFLTwDCI7ys=
 github.com/segmentio/asm v1.2.0/go.mod h1:BqMnlJP91P8d+4ibuonYZw9mfnzI9HfxselHZr5aAcs=
 github.com/segmentio/backo-go v1.0.1 h1:68RQccglxZeyURy93ASB/2kc9QudzgIDexJ927N++y4=
 github.com/segmentio/backo-go v1.0.1/go.mod h1:9/Rh6yILuLysoQnZ2oNooD2g7aBnvM7r/fNVxRNWfBc=
+github.com/sergi/go-diff v1.1.0 h1:we8PVUC3FE2uYfodKH/nBHMSetSfHDR6scGdBi+erh0=
+github.com/sergi/go-diff v1.1.0/go.mod h1:STckp+ISIX8hZLjrqAeVduY0gWCT9IjLuqbuNXdaHfM=
 github.com/sethvargo/go-password v0.2.0 h1:BTDl4CC/gjf/axHMaDQtw507ogrXLci6XRiLc7i/UHI=
 github.com/sethvargo/go-password v0.2.0/go.mod h1:Ym4Mr9JXLBycr02MFuVQ/0JHidNetSgbzutTr3zsYXE=
 github.com/shirou/gopsutil/v4 v4.24.9 h1:KIV+/HaHD5ka5f570RZq+2SaeFsb/pq+fp2DGNWYoOI=
@@ -848,6 +863,8 @@ github.com/sirupsen/logrus v1.9.3 h1:dueUQJ1C2q9oE3F7wvmSGAaVtTmUizReu6fjN8uqzbQ
 github.com/sirupsen/logrus v1.9.3/go.mod h1:naHLuLoDiP4jHNo9R0sCBMtWGeIprob74mVsIT4qYEQ=
 github.com/smarty/assertions v1.15.0 h1:cR//PqUBUiQRakZWqBiFFQ9wb8emQGDb0HeGdqGByCY=
 github.com/smarty/assertions v1.15.0/go.mod h1:yABtdzeQs6l1brC900WlRNwj6ZR55d7B+E8C6HtKdec=
+github.com/smartystreets/assertions v0.0.0-20180927180507-b2de0cb4f26d/go.mod h1:OnSkiWE9lh6wB0YB77sQom3nweQdgAjqCqsofrRNTgc=
+github.com/smartystreets/goconvey v1.6.4/go.mod h1:syvi0/a8iFYH4r/RixwvyeAJjdLS9QV7WQ/tjFTllLA=
 github.com/smartystreets/goconvey v1.8.1 h1:qGjIddxOk4grTu9JPOU31tVfq3cNdBlNa5sSznIX1xY=
 github.com/smartystreets/goconvey v1.8.1/go.mod h1:+/u4qLyY6x1jReYOp7GOM2FSt8aP9CzCZL03bI28W60=
 github.com/soheilhy/cmux v0.1.5 h1:jjzc5WVemNEDTLwv9tlmemhC73tI08BNOIGwBOo10Js=
@@ -865,6 +882,7 @@ github.com/srikanthccv/ClickHouse-go-mock v0.11.0 h1:hKY9l7SbhI4IPPs7hjKAL1iDgKc
 github.com/srikanthccv/ClickHouse-go-mock v0.11.0/go.mod h1:CzFC21J4tLn7cEYdU5k6hg7yyf052xtZXUY2e3UF6+I=
 github.com/stretchr/objx v0.1.0/go.mod h1:HFkY916IF+rwdDfMAkV7OtwuqBVzrE8GR6GFx+wExME=
 github.com/stretchr/objx v0.1.1/go.mod h1:HFkY916IF+rwdDfMAkV7OtwuqBVzrE8GR6GFx+wExME=
+github.com/stretchr/objx v0.3.0/go.mod h1:qt09Ya8vawLte6SNmTgCsAVtYtaKzEcn8ATUoHMkEqE=
 github.com/stretchr/objx v0.4.0/go.mod h1:YvHI0jy2hoMjB+UWwv71VJQ9isScKT/TqJzVSSt89Yw=
 github.com/stretchr/objx v0.5.0/go.mod h1:Yh+to48EsGEfYuaHDzXPcE3xhTkx73EhmCGUpEOglKo=
 github.com/stretchr/objx v0.5.2 h1:xuMeJ0Sdp5ZMRXx/aWO6RZxdr3beISkG5/G/aIRr3pY=
@@ -1353,6 +1371,7 @@ golang.org/x/tools v0.0.0-20190226205152-f727befe758c/go.mod h1:9Yl7xja0Znq3iFh3
 golang.org/x/tools v0.0.0-20190311212946-11955173bddd/go.mod h1:LCzVGOaR6xXOjkQ3onu1FJEFr0SW1gC7cKk1uF8kGRs=
 golang.org/x/tools v0.0.0-20190312151545-0bb0c0a6e846/go.mod h1:LCzVGOaR6xXOjkQ3onu1FJEFr0SW1gC7cKk1uF8kGRs=
 golang.org/x/tools v0.0.0-20190312170243-e65039ee4138/go.mod h1:LCzVGOaR6xXOjkQ3onu1FJEFr0SW1gC7cKk1uF8kGRs=
+golang.org/x/tools v0.0.0-20190328211700-ab21143f2384/go.mod h1:LCzVGOaR6xXOjkQ3onu1FJEFr0SW1gC7cKk1uF8kGRs=
 golang.org/x/tools v0.0.0-20190425150028-36563e24a262/go.mod h1:RgjU9mgBXZiqYHBnxXauZ1Gv1EHHAz9KjViQ78xBX0Q=
 golang.org/x/tools v0.0.0-20190506145303-2d16b83fe98c/go.mod h1:RgjU9mgBXZiqYHBnxXauZ1Gv1EHHAz9KjViQ78xBX0Q=
 golang.org/x/tools v0.0.0-20190524140312-2c0ae7006135/go.mod h1:RgjU9mgBXZiqYHBnxXauZ1Gv1EHHAz9KjViQ78xBX0Q=

pkg/http/client/http.go

@@ -0,0 +1,58 @@
+package client
+
+import (
+	"log/slog"
+	"net/http"
+	"time"
+
+	"github.com/SigNoz/signoz/pkg/http/client/plugin"
+	"github.com/gojek/heimdall/v7/httpclient"
+	"go.opentelemetry.io/contrib/instrumentation/net/http/otelhttp"
+	"go.opentelemetry.io/otel/metric"
+	"go.opentelemetry.io/otel/trace"
+)
+
+type Client struct {
+	c    *httpclient.Client
+	netc *http.Client
+}
+
+func New(logger *slog.Logger, tracerProvider trace.TracerProvider, meterProvider metric.MeterProvider, opts ...Option) (*Client, error) {
+	clientOpts := options{
+		retryCount:         3,
+		requestResponseLog: false,
+		timeout:            5 * time.Second,
+	}
+
+	for _, opt := range opts {
+		opt(&clientOpts)
+	}
+
+	netc := &http.Client{
+		Timeout:   clientOpts.timeout,
+		Transport: otelhttp.NewTransport(http.DefaultTransport, otelhttp.WithTracerProvider(tracerProvider), otelhttp.WithMeterProvider(meterProvider)),
+	}
+
+	c := httpclient.NewClient(
+		httpclient.WithHTTPClient(netc),
+		httpclient.WithRetrier(clientOpts.retriable),
+		httpclient.WithRetryCount(clientOpts.retryCount),
+	)
+
+	if clientOpts.requestResponseLog {
+		c.AddPlugin(plugin.NewLog(logger))
+	}
+
+	return &Client{
+		netc: netc,
+		c:    c,
+	}, nil
+}
+
+func (c *Client) Do(request *http.Request) (*http.Response, error) {
+	return c.c.Do(request)
+}
+
+func (c *Client) Client() *http.Client {
+	return c.netc
+}

pkg/http/client/option.go

@@ -0,0 +1,42 @@
+package client
+
+import (
+	"time"
+
+	"github.com/gojek/heimdall/v7"
+)
+
+type Retriable = heimdall.Retriable
+
+type options struct {
+	retryCount         int
+	requestResponseLog bool
+	timeout            time.Duration
+	retriable          Retriable
+}
+
+type Option func(*options)
+
+func WithRetryCount(i int) Option {
+	return func(o *options) {
+		o.retryCount = i
+	}
+}
+
+func WithTimeout(i time.Duration) Option {
+	return func(o *options) {
+		o.timeout = i
+	}
+}
+
+func WithRequestResponseLog(b bool) Option {
+	return func(o *options) {
+		o.requestResponseLog = b
+	}
+}
+
+func WithRetriable(retriable Retriable) Option {
+	return func(o *options) {
+		o.retriable = retriable
+	}
+}

pkg/http/client/plugin/log.go

@@ -0,0 +1,77 @@
+package plugin
+
+import (
+	"bytes"
+	"io"
+	"log/slog"
+	"net"
+	"net/http"
+
+	"github.com/gojek/heimdall/v7"
+	semconv "go.opentelemetry.io/otel/semconv/v1.27.0"
+)
+
+type reqResLog struct {
+	logger *slog.Logger
+}
+
+func NewLog(logger *slog.Logger) heimdall.Plugin {
+	return &reqResLog{
+		logger: logger,
+	}
+}
+
+func (plugin *reqResLog) OnRequestStart(request *http.Request) {
+	host, port, _ := net.SplitHostPort(request.Host)
+	fields := []any{
+		string(semconv.HTTPRequestMethodKey), request.Method,
+		string(semconv.URLPathKey), request.URL.Path,
+		string(semconv.URLSchemeKey), request.URL.Scheme,
+		string(semconv.UserAgentOriginalKey), request.UserAgent(),
+		string(semconv.ServerAddressKey), host,
+		string(semconv.ServerPortKey), port,
+		string(semconv.HTTPRequestSizeKey), request.ContentLength,
+		"http.request.headers", request.Header,
+	}
+
+	plugin.logger.InfoContext(request.Context(), "::SENT-REQUEST::", fields...)
+}
+
+func (plugin *reqResLog) OnRequestEnd(request *http.Request, response *http.Response) {
+	fields := []any{
+		string(semconv.HTTPResponseStatusCodeKey), response.StatusCode,
+		string(semconv.HTTPResponseBodySizeKey), response.ContentLength,
+	}
+
+	bodybytes, err := io.ReadAll(response.Body)
+	if err != nil {
+		plugin.logger.DebugContext(request.Context(), "::UNABLE-TO-LOG-RESPONSE-BODY::", "error", err)
+	} else {
+		_ = response.Body.Close()
+		response.Body = io.NopCloser(bytes.NewBuffer(bodybytes))
+
+		if len(bodybytes) > 0 {
+			fields = append(fields, "http.response.body", string(bodybytes))
+		} else {
+			fields = append(fields, "http.response.body", "(empty)")
+		}
+	}
+
+	plugin.logger.InfoContext(request.Context(), "::RECEIVED-RESPONSE::", fields...)
+}
+
+func (plugin *reqResLog) OnError(request *http.Request, err error) {
+	host, port, _ := net.SplitHostPort(request.Host)
+	fields := []any{
+		err,
+		string(semconv.HTTPRequestMethodKey), request.Method,
+		string(semconv.URLPathKey), request.URL.Path,
+		string(semconv.URLSchemeKey), request.URL.Scheme,
+		string(semconv.UserAgentOriginalKey), request.UserAgent(),
+		string(semconv.ServerAddressKey), host,
+		string(semconv.ServerPortKey), port,
+		string(semconv.HTTPRequestSizeKey), request.ContentLength,
+	}
+
+	plugin.logger.ErrorContext(request.Context(), "::UNABLE-TO-SEND-REQUEST::", fields...)
+}

pkg/query-service/app/clickhouseReader/filter_suggestions.go

@@ -174,7 +174,7 @@ func (r *ClickHouseReader) getValuesForLogAttributes(
 			from %s.%s
 			where tag_key = $%d and (
 				string_value != '' or number_value is not null
-			)
+			) and tag_type != 'logfield'
 			limit %d
 		)`, r.logsDB, r.logsTagAttributeTableV2, idx+1, limit))
 

pkg/query-service/app/clickhouseReader/reader.go

@@ -1143,7 +1143,7 @@ func (r *ClickHouseReader) GetUsage(ctx context.Context, queryParams *model.GetU
 
 func (r *ClickHouseReader) SearchTracesV2(ctx context.Context, params *model.SearchTracesParams,
 	smartTraceAlgorithm func(payload []model.SearchSpanResponseItem, targetSpanId string,
-		levelUp int, levelDown int, spanLimit int) ([]model.SearchSpansResult, error)) (*[]model.SearchSpansResult, error) {
+	levelUp int, levelDown int, spanLimit int) ([]model.SearchSpansResult, error)) (*[]model.SearchSpansResult, error) {
 	searchSpansResult := []model.SearchSpansResult{
 		{
 			Columns:   []string{"__time", "SpanId", "TraceId", "ServiceName", "Name", "Kind", "DurationNano", "TagsKeys", "TagsValues", "References", "Events", "HasError", "StatusMessage", "StatusCodeString", "SpanKind"},
@@ -1291,7 +1291,7 @@ func (r *ClickHouseReader) SearchTracesV2(ctx context.Context, params *model.Sea
 
 func (r *ClickHouseReader) SearchTraces(ctx context.Context, params *model.SearchTracesParams,
 	smartTraceAlgorithm func(payload []model.SearchSpanResponseItem, targetSpanId string,
-		levelUp int, levelDown int, spanLimit int) ([]model.SearchSpansResult, error)) (*[]model.SearchSpansResult, error) {
+	levelUp int, levelDown int, spanLimit int) ([]model.SearchSpansResult, error)) (*[]model.SearchSpansResult, error) {
 
 	if r.useTraceNewSchema {
 		return r.SearchTracesV2(ctx, params, smartTraceAlgorithm)
@@ -4065,7 +4065,7 @@ func (r *ClickHouseReader) GetLogAggregateAttributes(ctx context.Context, req *v
 		return nil, fmt.Errorf("unsupported aggregate operator")
 	}
 
-	query = fmt.Sprintf("SELECT DISTINCT(tag_key), tag_type, tag_data_type from %s.%s WHERE %s limit $2", r.logsDB, r.logsTagAttributeTableV2, where)
+	query = fmt.Sprintf("SELECT DISTINCT(tag_key), tag_type, tag_data_type from %s.%s WHERE %s and tag_type != 'logfield' limit $2", r.logsDB, r.logsTagAttributeTableV2, where)
 	rows, err = r.db.Query(ctx, query, fmt.Sprintf("%%%s%%", req.SearchText), req.Limit)
 	if err != nil {
 		zap.L().Error("Error while executing query", zap.Error(err))
@@ -4114,10 +4114,10 @@ func (r *ClickHouseReader) GetLogAttributeKeys(ctx context.Context, req *v3.Filt
 	var response v3.FilterAttributeKeyResponse
 
 	if len(req.SearchText) != 0 {
-		query = fmt.Sprintf("select distinct tag_key, tag_type, tag_data_type from  %s.%s where tag_key ILIKE $1 limit $2", r.logsDB, r.logsTagAttributeTableV2)
+		query = fmt.Sprintf("select distinct tag_key, tag_type, tag_data_type from  %s.%s where tag_type != 'logfield' and tag_key ILIKE $1 limit $2", r.logsDB, r.logsTagAttributeTableV2)
 		rows, err = r.db.Query(ctx, query, fmt.Sprintf("%%%s%%", req.SearchText), req.Limit)
 	} else {
-		query = fmt.Sprintf("select distinct tag_key, tag_type, tag_data_type from  %s.%s limit $1", r.logsDB, r.logsTagAttributeTableV2)
+		query = fmt.Sprintf("select distinct tag_key, tag_type, tag_data_type from %s.%s where tag_type != 'logfield' limit $1", r.logsDB, r.logsTagAttributeTableV2)
 		rows, err = r.db.Query(ctx, query, req.Limit)
 	}
 
@@ -4838,7 +4838,7 @@ func (r *ClickHouseReader) GetTraceAggregateAttributes(ctx context.Context, req
 	default:
 		return nil, fmt.Errorf("unsupported aggregate operator")
 	}
-	query = fmt.Sprintf("SELECT DISTINCT(tag_key), tag_type, tag_data_type FROM %s.%s WHERE %s", r.TraceDB, r.spanAttributeTableV2, where)
+	query = fmt.Sprintf("SELECT DISTINCT(tag_key), tag_type, tag_data_type FROM %s.%s WHERE %s and tag_type != 'spanfield'", r.TraceDB, r.spanAttributeTableV2, where)
 	if req.Limit != 0 {
 		query = query + fmt.Sprintf(" LIMIT %d;", req.Limit)
 	}
@@ -4900,7 +4900,7 @@ func (r *ClickHouseReader) GetTraceAttributeKeys(ctx context.Context, req *v3.Fi
 	var rows driver.Rows
 	var response v3.FilterAttributeKeyResponse
 
-	query = fmt.Sprintf("SELECT DISTINCT(tag_key), tag_type, tag_data_type FROM %s.%s WHERE tag_key ILIKE $1 LIMIT $2", r.TraceDB, r.spanAttributeTableV2)
+	query = fmt.Sprintf("SELECT DISTINCT(tag_key), tag_type, tag_data_type FROM %s.%s WHERE tag_key ILIKE $1 and tag_type != 'spanfield' LIMIT $2", r.TraceDB, r.spanAttributeTableV2)
 
 	rows, err = r.db.Query(ctx, query, fmt.Sprintf("%%%s%%", req.SearchText), req.Limit)
 
@@ -5982,10 +5982,10 @@ func (r *ClickHouseReader) ListSummaryMetrics(ctx context.Context, req *metrics_
 	}
 
 	firstQueryLimit := req.Limit
-	dataPointsOrder := false
+	samplesOrder := false
 	var orderByClauseFirstQuery string
 	if req.OrderBy.ColumnName == "samples" {
-		dataPointsOrder = true
+		samplesOrder = true
 		orderByClauseFirstQuery = fmt.Sprintf("ORDER BY timeseries %s", req.OrderBy.Order)
 		if req.Limit < 50 {
 			firstQueryLimit = 50
@@ -5995,8 +5995,8 @@ func (r *ClickHouseReader) ListSummaryMetrics(ctx context.Context, req *metrics_
 	}
 
 	// Determine which tables to use
-	start, end, tsTable, localTsTable := utils.WhichTSTableToUse(req.Start, req.EndD)
-	sampleTable, countExp := utils.WhichSampleTableToUse(req.Start, req.EndD)
+	start, end, tsTable, localTsTable := utils.WhichTSTableToUse(req.Start, req.End)
+	sampleTable, countExp := utils.WhichSampleTableToUse(req.Start, req.End)
 
 	metricsQuery := fmt.Sprintf(
 		`SELECT 
@@ -6018,7 +6018,10 @@ func (r *ClickHouseReader) ListSummaryMetrics(ctx context.Context, req *metrics_
 
 	args = append(args, start, end)
 	valueCtx := context.WithValue(ctx, "clickhouse_max_threads", constants.MetricsExplorerClickhouseThreads)
+	begin := time.Now()
 	rows, err := r.db.Query(valueCtx, metricsQuery, args...)
+	queryDuration := time.Since(begin)
+	zap.L().Info("Time taken to execute metrics query to fetch metrics with high time series", zap.String("query", metricsQuery), zap.Any("args", args), zap.Duration("duration", queryDuration))
 	if err != nil {
 		zap.L().Error("Error executing metrics query", zap.Error(err))
 		return &metrics_explorer.SummaryListMetricsResponse{}, &model.ApiError{Typ: "ClickHouseError", Err: err}
@@ -6049,12 +6052,12 @@ func (r *ClickHouseReader) ListSummaryMetrics(ctx context.Context, req *metrics_
 	// Build a comma-separated list of quoted metric names.
 	metricsList := "'" + strings.Join(metricNames, "', '") + "'"
 	// If samples are being sorted by datapoints, update the ORDER clause.
-	if dataPointsOrder {
+	if samplesOrder {
 		orderByClauseFirstQuery = fmt.Sprintf("ORDER BY s.samples %s", req.OrderBy.Order)
 	} else {
 		orderByClauseFirstQuery = ""
 	}
-
+	args = make([]interface{}, 0)
 	var sampleQuery string
 	var sb strings.Builder
 
@@ -6062,13 +6065,11 @@ func (r *ClickHouseReader) ListSummaryMetrics(ctx context.Context, req *metrics_
 		sb.WriteString(fmt.Sprintf(
 			`SELECT 
 				s.samples,
-				s.metric_name,
-				s.lastReceived
+				s.metric_name
 			FROM (
 				SELECT 
 					dm.metric_name,
-					%s AS samples,
-					MAX(dm.unix_milli) AS lastReceived
+					%s AS samples
 				FROM %s.%s AS dm
 				WHERE dm.metric_name IN (%s)
 				AND dm.fingerprint IN (
@@ -6076,6 +6077,7 @@ func (r *ClickHouseReader) ListSummaryMetrics(ctx context.Context, req *metrics_
 					FROM %s.%s
 					WHERE metric_name IN (%s)
 					AND __normalized = true
+					AND unix_milli BETWEEN ? AND ?
 					%s
 					GROUP BY fingerprint
 				)
@@ -6089,18 +6091,18 @@ func (r *ClickHouseReader) ListSummaryMetrics(ctx context.Context, req *metrics_
 			metricsList,
 			whereClause,
 		))
+		args = append(args, start, end)
+		args = append(args, req.Start, req.End)
 	} else {
 		// If no filters, it is a simpler query.
 		sb.WriteString(fmt.Sprintf(
 			`SELECT 
         s.samples,
-        s.metric_name,
-        s.lastReceived
+        s.metric_name
     FROM (
         SELECT 
             metric_name,
-            %s AS samples,
-            MAX(unix_milli) AS lastReceived
+            %s AS samples
         FROM %s.%s
         WHERE metric_name IN (%s)
         AND unix_milli BETWEEN ? AND ?
@@ -6109,6 +6111,7 @@ func (r *ClickHouseReader) ListSummaryMetrics(ctx context.Context, req *metrics_
 			countExp,
 			signozMetricDBName, sampleTable,
 			metricsList))
+		args = append(args, req.Start, req.End)
 	}
 
 	// Append ORDER BY clause if provided.
@@ -6119,10 +6122,10 @@ func (r *ClickHouseReader) ListSummaryMetrics(ctx context.Context, req *metrics_
 	// Append LIMIT clause.
 	sb.WriteString(fmt.Sprintf("LIMIT %d;", req.Limit))
 	sampleQuery = sb.String()
-
-	// Append the time boundaries for sampleQuery.
-	args = append(args, start, end)
+	begin = time.Now()
 	rows, err = r.db.Query(valueCtx, sampleQuery, args...)
+	queryDuration = time.Since(begin)
+	zap.L().Info("Time taken to execute list summary query", zap.String("query", sampleQuery), zap.Any("args", args), zap.Duration("duration", queryDuration))
 	if err != nil {
 		zap.L().Error("Error executing samples query", zap.Error(err))
 		return &response, &model.ApiError{Typ: "ClickHouseError", Err: err}
@@ -6130,18 +6133,15 @@ func (r *ClickHouseReader) ListSummaryMetrics(ctx context.Context, req *metrics_
 	defer rows.Close()
 
 	samplesMap := make(map[string]uint64)
-	lastReceivedMap := make(map[string]int64)
 
 	for rows.Next() {
 		var samples uint64
 		var metricName string
-		var lastReceived int64
-		if err := rows.Scan(&samples, &metricName, &lastReceived); err != nil {
+		if err := rows.Scan(&samples, &metricName); err != nil {
 			zap.L().Error("Error scanning sample row", zap.Error(err))
 			return &response, &model.ApiError{Typ: "ClickHouseError", Err: err}
 		}
 		samplesMap[metricName] = samples
-		lastReceivedMap[metricName] = lastReceived
 	}
 	if err := rows.Err(); err != nil {
 		zap.L().Error("Error iterating over sample rows", zap.Error(err))
@@ -6167,16 +6167,13 @@ func (r *ClickHouseReader) ListSummaryMetrics(ctx context.Context, req *metrics_
 		}
 		if samples, exists := samplesMap[response.Metrics[i].MetricName]; exists {
 			response.Metrics[i].Samples = samples
-			if lastReceived, exists := lastReceivedMap[response.Metrics[i].MetricName]; exists {
-				response.Metrics[i].LastReceived = lastReceived
-			}
 			filteredMetrics = append(filteredMetrics, response.Metrics[i])
 		}
 	}
 	response.Metrics = filteredMetrics
 
 	// If ordering by samples, sort in-memory.
-	if dataPointsOrder {
+	if samplesOrder {
 		sort.Slice(response.Metrics, func(i, j int) bool {
 			return response.Metrics[i].Samples > response.Metrics[j].Samples
 		})
@@ -6194,7 +6191,7 @@ func (r *ClickHouseReader) GetMetricsTimeSeriesPercentage(ctx context.Context, r
 	if len(conditions) > 0 {
 		whereClause = "AND " + strings.Join(conditions, " AND ")
 	}
-	start, end, tsTable, _ := utils.WhichTSTableToUse(req.Start, req.EndD)
+	start, end, tsTable, _ := utils.WhichTSTableToUse(req.Start, req.End)
 
 	// Construct the query without backticks
 	query := fmt.Sprintf(`
@@ -6224,26 +6221,29 @@ func (r *ClickHouseReader) GetMetricsTimeSeriesPercentage(ctx context.Context, r
 	)
 
 	args = append(args,
-		start, end, // For total_cardinality subquery
+		start, end, // For total_time_series subquery
 		start, end, // For main query
 	)
 
 	valueCtx := context.WithValue(ctx, "clickhouse_max_threads", constants.MetricsExplorerClickhouseThreads)
+	begin := time.Now()
 	rows, err := r.db.Query(valueCtx, query, args...)
+	duration := time.Since(begin)
+	zap.L().Info("Time taken to execute time series percentage query", zap.String("query", query), zap.Any("args", args), zap.Duration("duration", duration))
 	if err != nil {
-		zap.L().Error("Error executing cardinality query", zap.Error(err), zap.String("query", query))
+		zap.L().Error("Error executing time series percentage query", zap.Error(err), zap.String("query", query))
 		return nil, &model.ApiError{Typ: "ClickHouseError", Err: err}
 	}
 	defer rows.Close()
 
-	var heatmap []metrics_explorer.TreeMapResponseItem
+	var treemap []metrics_explorer.TreeMapResponseItem
 	for rows.Next() {
 		var item metrics_explorer.TreeMapResponseItem
 		if err := rows.Scan(&item.MetricName, &item.TotalValue, &item.Percentage); err != nil {
 			zap.L().Error("Error scanning row", zap.Error(err))
 			return nil, &model.ApiError{Typ: "ClickHouseError", Err: err}
 		}
-		heatmap = append(heatmap, item)
+		treemap = append(treemap, item)
 	}
 
 	if err := rows.Err(); err != nil {
@@ -6251,11 +6251,10 @@ func (r *ClickHouseReader) GetMetricsTimeSeriesPercentage(ctx context.Context, r
 		return nil, &model.ApiError{Typ: "ClickHouseError", Err: err}
 	}
 
-	return &heatmap, nil
+	return &treemap, nil
 }
 
 func (r *ClickHouseReader) GetMetricsSamplesPercentage(ctx context.Context, req *metrics_explorer.TreeMapMetricsRequest) (*[]metrics_explorer.TreeMapResponseItem, *model.ApiError) {
-	var args []interface{}
 
 	conditions, _ := utils.BuildFilterConditions(&req.Filters, "ts")
 	whereClause := ""
@@ -6264,8 +6263,8 @@ func (r *ClickHouseReader) GetMetricsSamplesPercentage(ctx context.Context, req
 	}
 
 	// Determine time range and tables to use
-	start, end, tsTable, localTsTable := utils.WhichTSTableToUse(req.Start, req.EndD)
-	sampleTable, countExp := utils.WhichSampleTableToUse(req.Start, req.EndD)
+	start, end, tsTable, localTsTable := utils.WhichTSTableToUse(req.Start, req.End)
+	sampleTable, countExp := utils.WhichSampleTableToUse(req.Start, req.End)
 
 	queryLimit := 50 + req.Limit
 	metricsQuery := fmt.Sprintf(
@@ -6284,9 +6283,12 @@ func (r *ClickHouseReader) GetMetricsSamplesPercentage(ctx context.Context, req
 	)
 
 	valueCtx := context.WithValue(ctx, "clickhouse_max_threads", constants.MetricsExplorerClickhouseThreads)
+	begin := time.Now()
 	rows, err := r.db.Query(valueCtx, metricsQuery, start, end)
+	duration := time.Since(begin)
+	zap.L().Info("Time taken to execute samples percentage metric name query to reduce search space", zap.String("query", metricsQuery), zap.Any("start", start), zap.Any("end", end), zap.Duration("duration", duration))
 	if err != nil {
-		zap.L().Error("Error executing metrics query", zap.Error(err))
+		zap.L().Error("Error executing samples percentage query", zap.Error(err))
 		return nil, &model.ApiError{Typ: "ClickHouseError", Err: err}
 	}
 	defer rows.Close()
@@ -6317,7 +6319,6 @@ func (r *ClickHouseReader) GetMetricsSamplesPercentage(ctx context.Context, req
 
 	// Build optimized query with JOIN but `unix_milli` filter only on the sample table
 	var sb strings.Builder
-
 	sb.WriteString(fmt.Sprintf(
 		`WITH TotalSamples AS (
 			SELECT %s AS total_samples
@@ -6338,8 +6339,14 @@ func (r *ClickHouseReader) GetMetricsSamplesPercentage(ctx context.Context, req
 		countExp, signozMetricDBName, sampleTable, // Inner select samples
 	))
 
+	var args []interface{}
+	args = append(args,
+		req.Start, req.End, // For total_samples subquery
+	)
+
 	// Apply `unix_milli` filter **only** on the sample table (`dm`)
 	sb.WriteString(` WHERE dm.unix_milli BETWEEN ? AND ?`)
+	args = append(args, req.Start, req.End)
 
 	// Use JOIN instead of IN (subquery) when additional filters exist
 	if whereClause != "" {
@@ -6348,12 +6355,14 @@ func (r *ClickHouseReader) GetMetricsSamplesPercentage(ctx context.Context, req
 				SELECT ts.fingerprint 
 				FROM %s.%s AS ts
 				WHERE ts.metric_name IN (%s)
+				AND unix_milli BETWEEN ? AND ?
 				AND __normalized = true
 				%s
 				GROUP BY ts.fingerprint
 			)`,
 			signozMetricDBName, localTsTable, metricsList, whereClause,
 		))
+		args = append(args, start, end)
 	}
 
 	// Apply metric filtering after all conditions
@@ -6366,14 +6375,16 @@ func (r *ClickHouseReader) GetMetricsSamplesPercentage(ctx context.Context, req
 		LIMIT ?;`,
 		metricsList,
 	))
-
+	args = append(args, req.Limit)
 	sampleQuery := sb.String()
 
 	// Add start and end time to args (only for sample table)
-	args = append(args, start, end, start, end, req.Limit)
 
+	begin = time.Now()
 	// Execute the sample percentage query
 	rows, err = r.db.Query(valueCtx, sampleQuery, args...)
+	duration = time.Since(begin)
+	zap.L().Info("Time taken to execute samples percentage query", zap.String("query", sampleQuery), zap.Any("args", args), zap.Duration("duration", duration))
 	if err != nil {
 		zap.L().Error("Error executing samples query", zap.Error(err))
 		return nil, &model.ApiError{Typ: "ClickHouseError", Err: err}
@@ -6381,21 +6392,21 @@ func (r *ClickHouseReader) GetMetricsSamplesPercentage(ctx context.Context, req
 	defer rows.Close()
 
 	// Process the results into a response slice
-	var heatmap []metrics_explorer.TreeMapResponseItem
+	var treemap []metrics_explorer.TreeMapResponseItem
 	for rows.Next() {
 		var item metrics_explorer.TreeMapResponseItem
 		if err := rows.Scan(&item.TotalValue, &item.MetricName, &item.Percentage); err != nil {
 			zap.L().Error("Error scanning row", zap.Error(err))
 			return nil, &model.ApiError{Typ: "ClickHouseError", Err: err}
 		}
-		heatmap = append(heatmap, item)
+		treemap = append(treemap, item)
 	}
 	if err := rows.Err(); err != nil {
 		zap.L().Error("Error iterating over sample rows", zap.Error(err))
 		return nil, &model.ApiError{Typ: "ClickHouseError", Err: err}
 	}
 
-	return &heatmap, nil
+	return &treemap, nil
 }
 
 func (r *ClickHouseReader) GetNameSimilarity(ctx context.Context, req *metrics_explorer.RelatedMetricsRequest) (map[string]metrics_explorer.RelatedMetricsScore, *model.ApiError) {

pkg/query-service/app/cloudintegrations/controller.go

@@ -124,7 +124,7 @@ func (c *Controller) GenerateConnectionUrl(
 	}
 
 	// TODO(Raj): parameterized this in follow up changes
-	agentVersion := "0.0.2"
+	agentVersion := "0.0.3"
 
 	connectionUrl := fmt.Sprintf(
 		"https://%s.console.aws.amazon.com/cloudformation/home?region=%s#/stacks/quickcreate?",

pkg/query-service/app/cloudintegrations/serviceDefinitions/aws/msk/overview.md

@@ -0,0 +1,3 @@
+### Monitor Managed Streaming Kafka with SigNoz
+
+Collect key MSK metrics and view them with an out of the box dashboard.

pkg/query-service/app/logparsingpipeline/controller.go

@@ -145,11 +145,12 @@ func (ic *LogParsingPipelineController) getEffectivePipelinesByVersion(
 	// todo(nitya): remove this once we fix agents in multitenancy
 	defaultOrgID, err := ic.GetDefaultOrgID(ctx)
 	if err != nil {
-		return nil, model.WrapApiError(err, "failed to get default org ID")
+		// we don't want to fail the request if we can't get the default org ID
+		// we will just return an empty list of pipelines
+		zap.L().Warn("failed to get default org ID", zap.Error(err))
+		return result, nil
 	}
 
-	fmt.Println("defaultOrgID", defaultOrgID)
-
 	if version >= 0 {
 		savedPipelines, errors := ic.getPipelinesByVersion(ctx, defaultOrgID, version)
 		if errors != nil {

pkg/query-service/app/metrics/v4/cumulative/table_test.go

@@ -51,7 +51,7 @@ func TestPrepareTableQuery(t *testing.T) {
 			},
 			start:                 1701794980000,
 			end:                   1701796780000,
-			expectedQueryContains: "SELECT ts, sum(per_series_value) as value FROM (SELECT fingerprint,  toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, avg(value) as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['system_memory_usage'] AND temporality = 'Unspecified' AND __normalized = true AND unix_milli >= 1701792000000 AND unix_milli < 1701796780000 AND JSONExtractString(labels, 'state') != 'idle') as filtered_time_series USING fingerprint WHERE metric_name IN ['system_memory_usage'] AND unix_milli >= 1701794980000 AND unix_milli < 1701796780000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WHERE isNaN(per_series_value) = 0 GROUP BY ts ORDER BY ts ASC",
+			expectedQueryContains: "SELECT ts, sum(per_series_value) as value FROM (SELECT fingerprint,  toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, avg(value) as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['system_memory_usage'] AND temporality = 'Unspecified' AND __normalized = true AND unix_milli >= 1701792000000 AND unix_milli < 1701796780000 AND JSONExtractString(labels, 'state') != 'idle') as filtered_time_series USING fingerprint WHERE metric_name IN ['system_memory_usage'] AND unix_milli >= 1701794980000 AND unix_milli < 1701796780000 AND bitAnd(flags, 1) = 0 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WHERE isNaN(per_series_value) = 0 GROUP BY ts ORDER BY ts ASC",
 		},
 		{
 			name: "test time aggregation = rate, space aggregation = sum, temporality = cumulative",
@@ -93,7 +93,7 @@ func TestPrepareTableQuery(t *testing.T) {
 			},
 			start:                 1701794980000,
 			end:                   1701796780000,
-			expectedQueryContains: "SELECT service_name, ts, sum(per_series_value) as value FROM (SELECT service_name, ts, If((per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) < 0, nan, If((ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window) >= 86400, nan, (per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) / (ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window))) as per_series_value FROM (SELECT fingerprint, any(service_name) as service_name, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, max(value) as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['http_requests'] AND temporality = 'Cumulative' AND __normalized = true AND unix_milli >= 1701792000000 AND unix_milli < 1701796780000 AND like(JSONExtractString(labels, 'service_name'), '%payment_service%')) as filtered_time_series USING fingerprint WHERE metric_name IN ['http_requests'] AND unix_milli >= 1701794980000 AND unix_milli < 1701796780000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WINDOW rate_window as (PARTITION BY fingerprint ORDER BY fingerprint, ts)) WHERE isNaN(per_series_value) = 0 GROUP BY service_name, ts ORDER BY service_name ASC, ts ASC",
+			expectedQueryContains: "SELECT service_name, ts, sum(per_series_value) as value FROM (SELECT service_name, ts, If((per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) < 0, nan, If((ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window) >= 86400, nan, (per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) / (ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window))) as per_series_value FROM (SELECT fingerprint, any(service_name) as service_name, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, max(value) as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['http_requests'] AND temporality = 'Cumulative' AND __normalized = true AND unix_milli >= 1701792000000 AND unix_milli < 1701796780000 AND like(JSONExtractString(labels, 'service_name'), '%payment_service%')) as filtered_time_series USING fingerprint WHERE metric_name IN ['http_requests'] AND unix_milli >= 1701794980000 AND unix_milli < 1701796780000 AND bitAnd(flags, 1) = 0 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WINDOW rate_window as (PARTITION BY fingerprint ORDER BY fingerprint, ts)) WHERE isNaN(per_series_value) = 0 GROUP BY service_name, ts ORDER BY service_name ASC, ts ASC",
 		},
 		{
 			name: "test time aggregation = avg, space aggregation = avg, temporality = unspecified, testing metrics and attribute name with dot",
@@ -148,7 +148,7 @@ func TestPrepareTableQuery(t *testing.T) {
 			},
 			start:                 1735295140000,
 			end:                   1735554340000,
-			expectedQueryContains: "SELECT state, ts, avg(per_series_value) as value FROM (SELECT fingerprint, any(state) as state, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(sum) / sum(count) as per_series_value FROM signoz_metrics.distributed_samples_v4_agg_5m INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'state') as state, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['system.memory.usage'] AND temporality = 'Unspecified' AND __normalized = true AND unix_milli >= 1735257600000 AND unix_milli < 1735554340000 AND JSONExtractString(labels, 'host.name') = 'signoz-host') as filtered_time_series USING fingerprint WHERE metric_name IN ['system.memory.usage'] AND unix_milli >= 1735295140000 AND unix_milli < 1735554340000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WHERE isNaN(per_series_value) = 0 GROUP BY state, ts ORDER BY state desc, ts ASC",
+			expectedQueryContains: "SELECT state, ts, avg(per_series_value) as value FROM (SELECT fingerprint, any(state) as state, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(sum) / sum(count) as per_series_value FROM signoz_metrics.distributed_samples_v4_agg_5m INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'state') as state, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['system.memory.usage'] AND temporality = 'Unspecified' AND __normalized = true AND unix_milli >= 1735257600000 AND unix_milli < 1735554340000 AND JSONExtractString(labels, 'host.name') = 'signoz-host') as filtered_time_series USING fingerprint WHERE metric_name IN ['system.memory.usage'] AND unix_milli >= 1735295140000 AND unix_milli < 1735554340000 AND bitAnd(flags, 1) = 0 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WHERE isNaN(per_series_value) = 0 GROUP BY state, ts ORDER BY state desc, ts ASC",
 		},
 	}
 

pkg/query-service/app/metrics/v4/cumulative/timeseries.go

@@ -116,7 +116,7 @@ func prepareTimeAggregationSubQuery(start, end, step int64, mq *v3.BuilderQuery)
 		return "", err
 	}
 
-	samplesTableFilter := fmt.Sprintf("metric_name IN %s AND unix_milli >= %d AND unix_milli < %d", utils.ClickHouseFormattedMetricNames(mq.AggregateAttribute.Key), start, end)
+	samplesTableFilter := fmt.Sprintf("metric_name IN %s AND unix_milli >= %d AND unix_milli < %d AND bitAnd(flags, 1) = 0", utils.ClickHouseFormattedMetricNames(mq.AggregateAttribute.Key), start, end)
 
 	tableName := helpers.WhichSamplesTableToUse(start, end, mq)
 

pkg/query-service/app/metrics/v4/cumulative/timeseries_test.go

@@ -66,7 +66,7 @@ func TestPrepareTimeAggregationSubQuery(t *testing.T) {
 			},
 			start:                 1701794980000,
 			end:                   1701796780000,
-			expectedQueryContains: "SELECT fingerprint, any(service_name) as service_name, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, avg(value) as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['http_requests'] AND temporality = 'Cumulative' AND __normalized = true AND unix_milli >= 1701792000000 AND unix_milli < 1701796780000 AND JSONExtractString(labels, 'service_name') != 'payment_service' AND JSONExtractString(labels, 'endpoint') IN ['/paycallback','/payme','/paypal']) as filtered_time_series USING fingerprint WHERE metric_name IN ['http_requests'] AND unix_milli >= 1701794980000 AND unix_milli < 1701796780000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts",
+			expectedQueryContains: "SELECT fingerprint, any(service_name) as service_name, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, avg(value) as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['http_requests'] AND temporality = 'Cumulative' AND __normalized = true AND unix_milli >= 1701792000000 AND unix_milli < 1701796780000 AND JSONExtractString(labels, 'service_name') != 'payment_service' AND JSONExtractString(labels, 'endpoint') IN ['/paycallback','/payme','/paypal']) as filtered_time_series USING fingerprint WHERE metric_name IN ['http_requests'] AND unix_milli >= 1701794980000 AND unix_milli < 1701796780000 AND bitAnd(flags, 1) = 0 GROUP BY fingerprint, ts ORDER BY fingerprint, ts",
 		},
 		{
 			name: "test time aggregation = rate, temporality = cumulative",
@@ -107,7 +107,7 @@ func TestPrepareTimeAggregationSubQuery(t *testing.T) {
 			},
 			start:                 1701794980000,
 			end:                   1701796780000,
-			expectedQueryContains: "SELECT service_name, ts, If((per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) < 0, nan, If((ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window) >= 86400, nan, (per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) / (ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window))) as per_series_value FROM (SELECT fingerprint, any(service_name) as service_name, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, max(value) as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['http_requests'] AND temporality = 'Cumulative' AND __normalized = true AND unix_milli >= 1701792000000 AND unix_milli < 1701796780000 AND like(JSONExtractString(labels, 'service_name'), '%payment_service%')) as filtered_time_series USING fingerprint WHERE metric_name IN ['http_requests'] AND unix_milli >= 1701794980000 AND unix_milli < 1701796780000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WINDOW rate_window as (PARTITION BY fingerprint ORDER BY fingerprint, ts)",
+			expectedQueryContains: "SELECT service_name, ts, If((per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) < 0, nan, If((ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window) >= 86400, nan, (per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) / (ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window))) as per_series_value FROM (SELECT fingerprint, any(service_name) as service_name, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, max(value) as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['http_requests'] AND temporality = 'Cumulative' AND __normalized = true AND unix_milli >= 1701792000000 AND unix_milli < 1701796780000 AND like(JSONExtractString(labels, 'service_name'), '%payment_service%')) as filtered_time_series USING fingerprint WHERE metric_name IN ['http_requests'] AND unix_milli >= 1701794980000 AND unix_milli < 1701796780000 AND bitAnd(flags, 1) = 0 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WINDOW rate_window as (PARTITION BY fingerprint ORDER BY fingerprint, ts)",
 		},
 	}
 
@@ -168,7 +168,7 @@ func TestPrepareTimeseriesQuery(t *testing.T) {
 			},
 			start:                 1701794980000,
 			end:                   1701796780000,
-			expectedQueryContains: "SELECT ts, sum(per_series_value) as value FROM (SELECT fingerprint,  toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, avg(value) as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['system_memory_usage'] AND temporality = 'Unspecified' AND __normalized = true AND unix_milli >= 1701792000000 AND unix_milli < 1701796780000 AND JSONExtractString(labels, 'state') != 'idle') as filtered_time_series USING fingerprint WHERE metric_name IN ['system_memory_usage'] AND unix_milli >= 1701794980000 AND unix_milli < 1701796780000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WHERE isNaN(per_series_value) = 0 GROUP BY ts ORDER BY ts ASC",
+			expectedQueryContains: "SELECT ts, sum(per_series_value) as value FROM (SELECT fingerprint,  toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, avg(value) as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['system_memory_usage'] AND temporality = 'Unspecified' AND __normalized = true AND unix_milli >= 1701792000000 AND unix_milli < 1701796780000 AND JSONExtractString(labels, 'state') != 'idle') as filtered_time_series USING fingerprint WHERE metric_name IN ['system_memory_usage'] AND unix_milli >= 1701794980000 AND unix_milli < 1701796780000 AND bitAnd(flags, 1) = 0 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WHERE isNaN(per_series_value) = 0 GROUP BY ts ORDER BY ts ASC",
 		},
 		{
 			name: "test time aggregation = rate, space aggregation = sum, temporality = cumulative",
@@ -210,7 +210,7 @@ func TestPrepareTimeseriesQuery(t *testing.T) {
 			},
 			start:                 1701794980000,
 			end:                   1701796780000,
-			expectedQueryContains: "SELECT service_name, ts, sum(per_series_value) as value FROM (SELECT service_name, ts, If((per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) < 0, nan, If((ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window) >= 86400, nan, (per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) / (ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window))) as per_series_value FROM (SELECT fingerprint, any(service_name) as service_name, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, max(value) as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['http_requests'] AND temporality = 'Cumulative' AND __normalized = true AND unix_milli >= 1701792000000 AND unix_milli < 1701796780000 AND like(JSONExtractString(labels, 'service_name'), '%payment_service%')) as filtered_time_series USING fingerprint WHERE metric_name IN ['http_requests'] AND unix_milli >= 1701794980000 AND unix_milli < 1701796780000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WINDOW rate_window as (PARTITION BY fingerprint ORDER BY fingerprint, ts)) WHERE isNaN(per_series_value) = 0 GROUP BY service_name, ts ORDER BY service_name ASC, ts ASC",
+			expectedQueryContains: "SELECT service_name, ts, sum(per_series_value) as value FROM (SELECT service_name, ts, If((per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) < 0, nan, If((ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window) >= 86400, nan, (per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) / (ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window))) as per_series_value FROM (SELECT fingerprint, any(service_name) as service_name, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, max(value) as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['http_requests'] AND temporality = 'Cumulative' AND __normalized = true AND unix_milli >= 1701792000000 AND unix_milli < 1701796780000 AND like(JSONExtractString(labels, 'service_name'), '%payment_service%')) as filtered_time_series USING fingerprint WHERE metric_name IN ['http_requests'] AND unix_milli >= 1701794980000 AND unix_milli < 1701796780000 AND bitAnd(flags, 1) = 0 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WINDOW rate_window as (PARTITION BY fingerprint ORDER BY fingerprint, ts)) WHERE isNaN(per_series_value) = 0 GROUP BY service_name, ts ORDER BY service_name ASC, ts ASC",
 		},
 		{
 			name: "test time aggregation = avg, space aggregation = avg, temporality = unspecified, testing metrics and attribute name with dot",
@@ -265,7 +265,7 @@ func TestPrepareTimeseriesQuery(t *testing.T) {
 			},
 			start:                 1735295140000,
 			end:                   1735554340000,
-			expectedQueryContains: "SELECT state, ts, avg(per_series_value) as value FROM (SELECT fingerprint, any(state) as state, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(sum) / sum(count) as per_series_value FROM signoz_metrics.distributed_samples_v4_agg_5m INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'state') as state, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['system.memory.usage'] AND temporality = 'Unspecified' AND __normalized = true AND unix_milli >= 1735257600000 AND unix_milli < 1735554340000 AND JSONExtractString(labels, 'host.name') = 'signoz-host') as filtered_time_series USING fingerprint WHERE metric_name IN ['system.memory.usage'] AND unix_milli >= 1735295140000 AND unix_milli < 1735554340000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WHERE isNaN(per_series_value) = 0 GROUP BY state, ts ORDER BY state desc, ts ASC",
+			expectedQueryContains: "SELECT state, ts, avg(per_series_value) as value FROM (SELECT fingerprint, any(state) as state, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(sum) / sum(count) as per_series_value FROM signoz_metrics.distributed_samples_v4_agg_5m INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'state') as state, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['system.memory.usage'] AND temporality = 'Unspecified' AND __normalized = true AND unix_milli >= 1735257600000 AND unix_milli < 1735554340000 AND JSONExtractString(labels, 'host.name') = 'signoz-host') as filtered_time_series USING fingerprint WHERE metric_name IN ['system.memory.usage'] AND unix_milli >= 1735295140000 AND unix_milli < 1735554340000 AND bitAnd(flags, 1) = 0 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WHERE isNaN(per_series_value) = 0 GROUP BY state, ts ORDER BY state desc, ts ASC",
 		},
 	}
 

pkg/query-service/app/metrics/v4/delta/table_test.go

@@ -53,7 +53,7 @@ func TestPrepareTableQuery(t *testing.T) {
 			},
 			start:                 1701794980000,
 			end:                   1701796780000,
-			expectedQueryContains: "SELECT ts, sum(per_series_value) as value FROM (SELECT fingerprint,  toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, avg(value) as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['system_memory_usage'] AND temporality = 'Unspecified' AND __normalized = true AND unix_milli >= 1701792000000 AND unix_milli < 1701796780000 AND JSONExtractString(labels, 'state') != 'idle') as filtered_time_series USING fingerprint WHERE metric_name IN ['system_memory_usage'] AND unix_milli >= 1701794980000 AND unix_milli < 1701796780000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WHERE isNaN(per_series_value) = 0 GROUP BY ts ORDER BY ts ASC",
+			expectedQueryContains: "SELECT ts, sum(per_series_value) as value FROM (SELECT fingerprint,  toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, avg(value) as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['system_memory_usage'] AND temporality = 'Unspecified' AND __normalized = true AND unix_milli >= 1701792000000 AND unix_milli < 1701796780000 AND JSONExtractString(labels, 'state') != 'idle') as filtered_time_series USING fingerprint WHERE metric_name IN ['system_memory_usage'] AND unix_milli >= 1701794980000 AND unix_milli < 1701796780000 AND bitAnd(flags, 1) = 0 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WHERE isNaN(per_series_value) = 0 GROUP BY ts ORDER BY ts ASC",
 		},
 		{
 			name: "test time aggregation = rate, space aggregation = sum, temporality = delta",
@@ -95,7 +95,7 @@ func TestPrepareTableQuery(t *testing.T) {
 			},
 			start:                 1701794980000,
 			end:                   1701796780000,
-			expectedQueryContains: "SELECT service_name, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(value)/60 as value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['http_requests'] AND temporality = 'Delta' AND __normalized = true AND unix_milli >= 1701792000000 AND unix_milli < 1701796780000 AND like(JSONExtractString(labels, 'service_name'), '%payment_service%')) as filtered_time_series USING fingerprint WHERE metric_name IN ['http_requests'] AND unix_milli >= 1701794980000 AND unix_milli < 1701796780000 GROUP BY service_name, ts ORDER BY service_name ASC, ts ASC",
+			expectedQueryContains: "SELECT service_name, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(value)/60 as value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['http_requests'] AND temporality = 'Delta' AND __normalized = true AND unix_milli >= 1701792000000 AND unix_milli < 1701796780000 AND like(JSONExtractString(labels, 'service_name'), '%payment_service%')) as filtered_time_series USING fingerprint WHERE metric_name IN ['http_requests'] AND unix_milli >= 1701794980000 AND unix_milli < 1701796780000 AND bitAnd(flags, 1) = 0 GROUP BY service_name, ts ORDER BY service_name ASC, ts ASC",
 		},
 		{
 			name: "test time aggregation = rate, space aggregation = avg, temporality = delta, testing metrics and attribute name with dot",
@@ -143,7 +143,7 @@ func TestPrepareTableQuery(t *testing.T) {
 			},
 			start:                 1701794980000,
 			end:                   1701796780000,
-			expectedQueryContains: "SELECT ts, avg(per_series_value) as value FROM (SELECT fingerprint,  toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(value)/60 as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['signoz.latency.sum'] AND temporality = 'Delta' AND __normalized = true AND unix_milli >= 1701792000000 AND unix_milli < 1701796780000 AND JSONExtractString(labels, 'host.name') = '4f6ec470feea') as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz.latency.sum'] AND unix_milli >= 1701794980000 AND unix_milli < 1701796780000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WHERE isNaN(per_series_value) = 0 GROUP BY ts ORDER BY ts ASC",
+			expectedQueryContains: "SELECT ts, avg(per_series_value) as value FROM (SELECT fingerprint,  toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(value)/60 as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['signoz.latency.sum'] AND temporality = 'Delta' AND __normalized = true AND unix_milli >= 1701792000000 AND unix_milli < 1701796780000 AND JSONExtractString(labels, 'host.name') = '4f6ec470feea') as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz.latency.sum'] AND unix_milli >= 1701794980000 AND unix_milli < 1701796780000 AND bitAnd(flags, 1) = 0 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WHERE isNaN(per_series_value) = 0 GROUP BY ts ORDER BY ts ASC",
 		},
 	}
 

pkg/query-service/app/metrics/v4/delta/time_series_test.go

@@ -66,7 +66,7 @@ func TestPrepareTimeAggregationSubQuery(t *testing.T) {
 			},
 			start:                 1701794980000,
 			end:                   1701796780000,
-			expectedQueryContains: "SELECT fingerprint, any(service_name) as service_name, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, avg(value) as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['http_requests'] AND temporality = 'Delta' AND __normalized = true AND unix_milli >= 1701792000000 AND unix_milli < 1701796780000 AND JSONExtractString(labels, 'service_name') != 'payment_service' AND JSONExtractString(labels, 'endpoint') IN ['/paycallback','/payme','/paypal']) as filtered_time_series USING fingerprint WHERE metric_name IN ['http_requests'] AND unix_milli >= 1701794980000 AND unix_milli < 1701796780000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts",
+			expectedQueryContains: "SELECT fingerprint, any(service_name) as service_name, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, avg(value) as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['http_requests'] AND temporality = 'Delta' AND __normalized = true AND unix_milli >= 1701792000000 AND unix_milli < 1701796780000 AND JSONExtractString(labels, 'service_name') != 'payment_service' AND JSONExtractString(labels, 'endpoint') IN ['/paycallback','/payme','/paypal']) as filtered_time_series USING fingerprint WHERE metric_name IN ['http_requests'] AND unix_milli >= 1701794980000 AND unix_milli < 1701796780000 AND bitAnd(flags, 1) = 0 GROUP BY fingerprint, ts ORDER BY fingerprint, ts",
 		},
 		{
 			name: "test time aggregation = rate, temporality = delta",
@@ -107,7 +107,7 @@ func TestPrepareTimeAggregationSubQuery(t *testing.T) {
 			},
 			start:                 1701794980000,
 			end:                   1701796780000,
-			expectedQueryContains: "SELECT fingerprint, any(service_name) as service_name, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(value)/60 as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['http_requests'] AND temporality = 'Delta' AND __normalized = true AND unix_milli >= 1701792000000 AND unix_milli < 1701796780000 AND like(JSONExtractString(labels, 'service_name'), '%payment_service%')) as filtered_time_series USING fingerprint WHERE metric_name IN ['http_requests'] AND unix_milli >= 1701794980000 AND unix_milli < 1701796780000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts",
+			expectedQueryContains: "SELECT fingerprint, any(service_name) as service_name, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(value)/60 as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['http_requests'] AND temporality = 'Delta' AND __normalized = true AND unix_milli >= 1701792000000 AND unix_milli < 1701796780000 AND like(JSONExtractString(labels, 'service_name'), '%payment_service%')) as filtered_time_series USING fingerprint WHERE metric_name IN ['http_requests'] AND unix_milli >= 1701794980000 AND unix_milli < 1701796780000 AND bitAnd(flags, 1) = 0 GROUP BY fingerprint, ts ORDER BY fingerprint, ts",
 		},
 	}
 
@@ -168,7 +168,7 @@ func TestPrepareTimeseriesQuery(t *testing.T) {
 			},
 			start:                 1701794980000,
 			end:                   1701796780000,
-			expectedQueryContains: "SELECT ts, sum(per_series_value) as value FROM (SELECT fingerprint,  toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, avg(value) as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['system_memory_usage'] AND temporality = 'Unspecified' AND __normalized = true AND unix_milli >= 1701792000000 AND unix_milli < 1701796780000 AND JSONExtractString(labels, 'state') != 'idle') as filtered_time_series USING fingerprint WHERE metric_name IN ['system_memory_usage'] AND unix_milli >= 1701794980000 AND unix_milli < 1701796780000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WHERE isNaN(per_series_value) = 0 GROUP BY ts ORDER BY ts ASC",
+			expectedQueryContains: "SELECT ts, sum(per_series_value) as value FROM (SELECT fingerprint,  toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, avg(value) as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['system_memory_usage'] AND temporality = 'Unspecified' AND __normalized = true AND unix_milli >= 1701792000000 AND unix_milli < 1701796780000 AND JSONExtractString(labels, 'state') != 'idle') as filtered_time_series USING fingerprint WHERE metric_name IN ['system_memory_usage'] AND unix_milli >= 1701794980000 AND unix_milli < 1701796780000 AND bitAnd(flags, 1) = 0 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WHERE isNaN(per_series_value) = 0 GROUP BY ts ORDER BY ts ASC",
 		},
 		{
 			name: "test time aggregation = rate, space aggregation = sum, temporality = delta",
@@ -210,7 +210,7 @@ func TestPrepareTimeseriesQuery(t *testing.T) {
 			},
 			start:                 1701794980000,
 			end:                   1701796780000,
-			expectedQueryContains: "SELECT service_name, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(value)/60 as value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['http_requests'] AND temporality = 'Delta' AND __normalized = true AND unix_milli >= 1701792000000 AND unix_milli < 1701796780000 AND like(JSONExtractString(labels, 'service_name'), '%payment_service%')) as filtered_time_series USING fingerprint WHERE metric_name IN ['http_requests'] AND unix_milli >= 1701794980000 AND unix_milli < 1701796780000 GROUP BY service_name, ts ORDER BY service_name ASC, ts ASC",
+			expectedQueryContains: "SELECT service_name, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(value)/60 as value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['http_requests'] AND temporality = 'Delta' AND __normalized = true AND unix_milli >= 1701792000000 AND unix_milli < 1701796780000 AND like(JSONExtractString(labels, 'service_name'), '%payment_service%')) as filtered_time_series USING fingerprint WHERE metric_name IN ['http_requests'] AND unix_milli >= 1701794980000 AND unix_milli < 1701796780000 AND bitAnd(flags, 1) = 0 GROUP BY service_name, ts ORDER BY service_name ASC, ts ASC",
 		},
 		{
 			name: "test time aggregation = rate, space aggregation percentile99, type = ExponentialHistogram",
@@ -244,7 +244,7 @@ func TestPrepareTimeseriesQuery(t *testing.T) {
 			},
 			start:                 1701794980000,
 			end:                   1701796780000,
-			expectedQueryContains: "SELECT service_name, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, quantilesDDMerge(0.01, 0.990000)(sketch)[1] as value FROM signoz_metrics.distributed_exp_hist INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['signoz_latency'] AND temporality = 'Delta' AND __normalized = true AND unix_milli >= 1701792000000 AND unix_milli < 1701796780000) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_latency'] AND unix_milli >= 1701794980000 AND unix_milli < 1701796780000 GROUP BY service_name, ts ORDER BY service_name ASC, ts ASC",
+			expectedQueryContains: "SELECT service_name, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, quantilesDDMerge(0.01, 0.990000)(sketch)[1] as value FROM signoz_metrics.distributed_exp_hist INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['signoz_latency'] AND temporality = 'Delta' AND __normalized = true AND unix_milli >= 1701792000000 AND unix_milli < 1701796780000) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_latency'] AND unix_milli >= 1701794980000 AND unix_milli < 1701796780000 AND bitAnd(flags, 1) = 0 GROUP BY service_name, ts ORDER BY service_name ASC, ts ASC",
 		},
 		{
 			name: "test time aggregation = rate, space aggregation = max, temporality = delta, testing metrics and attribute name with dot",
@@ -299,7 +299,7 @@ func TestPrepareTimeseriesQuery(t *testing.T) {
 			},
 			start:                 1735036101000,
 			end:                   1735637901000,
-			expectedQueryContains: "SELECT `host.name`, ts, max(per_series_value) as value FROM (SELECT fingerprint, any(`host.name`) as `host.name`, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(sum)/60 as per_series_value FROM signoz_metrics.distributed_samples_v4_agg_5m INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'host.name') as `host.name`, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz.latency.sum'] AND temporality = 'Delta' AND __normalized = true AND unix_milli >= 1734998400000 AND unix_milli < 1735637901000 AND JSONExtractString(labels, 'host_name') = '4f6ec470feea') as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz.latency.sum'] AND unix_milli >= 1735036101000 AND unix_milli < 1735637901000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WHERE isNaN(per_series_value) = 0 GROUP BY `host.name`, ts ORDER BY `host.name` ASC, ts ASC",
+			expectedQueryContains: "SELECT `host.name`, ts, max(per_series_value) as value FROM (SELECT fingerprint, any(`host.name`) as `host.name`, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(sum)/60 as per_series_value FROM signoz_metrics.distributed_samples_v4_agg_5m INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'host.name') as `host.name`, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz.latency.sum'] AND temporality = 'Delta' AND __normalized = true AND unix_milli >= 1734998400000 AND unix_milli < 1735637901000 AND JSONExtractString(labels, 'host_name') = '4f6ec470feea') as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz.latency.sum'] AND unix_milli >= 1735036101000 AND unix_milli < 1735637901000 AND bitAnd(flags, 1) = 0 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WHERE isNaN(per_series_value) = 0 GROUP BY `host.name`, ts ORDER BY `host.name` ASC, ts ASC",
 		},
 	}
 

pkg/query-service/app/metrics/v4/delta/timeseries.go

@@ -24,7 +24,7 @@ func prepareTimeAggregationSubQuery(start, end, step int64, mq *v3.BuilderQuery)
 		return "", err
 	}
 
-	samplesTableFilter := fmt.Sprintf("metric_name IN %s AND unix_milli >= %d AND unix_milli < %d", utils.ClickHouseFormattedMetricNames(mq.AggregateAttribute.Key), start, end)
+	samplesTableFilter := fmt.Sprintf("metric_name IN %s AND unix_milli >= %d AND unix_milli < %d AND bitAnd(flags, 1) = 0", utils.ClickHouseFormattedMetricNames(mq.AggregateAttribute.Key), start, end)
 
 	tableName := helpers.WhichSamplesTableToUse(start, end, mq)
 
@@ -83,7 +83,7 @@ func prepareQueryOptimized(start, end, step int64, mq *v3.BuilderQuery) (string,
 		return "", err
 	}
 
-	samplesTableFilter := fmt.Sprintf("metric_name IN %s AND unix_milli >= %d AND unix_milli < %d", utils.ClickHouseFormattedMetricNames(mq.AggregateAttribute.Key), start, end)
+	samplesTableFilter := fmt.Sprintf("metric_name IN %s AND unix_milli >= %d AND unix_milli < %d AND bitAnd(flags, 1) = 0", utils.ClickHouseFormattedMetricNames(mq.AggregateAttribute.Key), start, end)
 
 	tableName := helpers.WhichSamplesTableToUse(start, end, mq)
 

pkg/query-service/app/metrics/v4/query_builder_pre_agg_test.go

@@ -49,7 +49,7 @@ func TestPrepareMetricQueryCumulativeRatePreAgg(t *testing.T) {
 				TimeAggregation:  v3.TimeAggregationRate,
 				SpaceAggregation: v3.SpaceAggregationSum,
 			},
-			expectedQueryContains: "SELECT service_name, ts, sum(per_series_value) as value FROM (SELECT service_name, ts, If((per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) < 0, nan, If((ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window) >= 86400, nan, (per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) / (ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window))) as per_series_value FROM (SELECT fingerprint, any(service_name) as service_name, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, max(max) as per_series_value FROM signoz_metrics.distributed_samples_v4_agg_5m INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz_calls_total'] AND temporality = 'Cumulative' AND __normalized = true AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000 AND like(JSONExtractString(labels, 'service_name'), '%frontend%')) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_calls_total'] AND unix_milli >= 1650991920000 AND unix_milli < 1651078380000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WINDOW rate_window as (PARTITION BY fingerprint ORDER BY fingerprint, ts)) WHERE isNaN(per_series_value) = 0 GROUP BY service_name, ts ORDER BY service_name ASC, ts ASC",
+			expectedQueryContains: "SELECT service_name, ts, sum(per_series_value) as value FROM (SELECT service_name, ts, If((per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) < 0, nan, If((ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window) >= 86400, nan, (per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) / (ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window))) as per_series_value FROM (SELECT fingerprint, any(service_name) as service_name, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, max(max) as per_series_value FROM signoz_metrics.distributed_samples_v4_agg_5m INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz_calls_total'] AND temporality = 'Cumulative' AND __normalized = true AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000 AND like(JSONExtractString(labels, 'service_name'), '%frontend%')) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_calls_total'] AND unix_milli >= 1650991920000 AND unix_milli < 1651078380000 AND bitAnd(flags, 1) = 0 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WINDOW rate_window as (PARTITION BY fingerprint ORDER BY fingerprint, ts)) WHERE isNaN(per_series_value) = 0 GROUP BY service_name, ts ORDER BY service_name ASC, ts ASC",
 		},
 		{
 			name: "test time aggregation = rate, space aggregation = sum, temporality = cumulative, multiple group by",
@@ -82,7 +82,7 @@ func TestPrepareMetricQueryCumulativeRatePreAgg(t *testing.T) {
 				TimeAggregation:  v3.TimeAggregationRate,
 				SpaceAggregation: v3.SpaceAggregationSum,
 			},
-			expectedQueryContains: "SELECT service_name, endpoint, ts, sum(per_series_value) as value FROM (SELECT service_name, endpoint, ts, If((per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) < 0, nan, If((ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window) >= 86400, nan, (per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) / (ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window))) as per_series_value FROM (SELECT fingerprint, any(service_name) as service_name, any(endpoint) as endpoint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, max(max) as per_series_value FROM signoz_metrics.distributed_samples_v4_agg_5m INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, JSONExtractString(labels, 'endpoint') as endpoint, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz_calls_total'] AND temporality = 'Cumulative' AND __normalized = true AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_calls_total'] AND unix_milli >= 1650991920000 AND unix_milli < 1651078380000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WINDOW rate_window as (PARTITION BY fingerprint ORDER BY fingerprint, ts)) WHERE isNaN(per_series_value) = 0 GROUP BY service_name, endpoint, ts ORDER BY service_name ASC, endpoint ASC, ts ASC",
+			expectedQueryContains: "SELECT service_name, endpoint, ts, sum(per_series_value) as value FROM (SELECT service_name, endpoint, ts, If((per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) < 0, nan, If((ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window) >= 86400, nan, (per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) / (ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window))) as per_series_value FROM (SELECT fingerprint, any(service_name) as service_name, any(endpoint) as endpoint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, max(max) as per_series_value FROM signoz_metrics.distributed_samples_v4_agg_5m INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, JSONExtractString(labels, 'endpoint') as endpoint, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz_calls_total'] AND temporality = 'Cumulative' AND __normalized = true AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_calls_total'] AND unix_milli >= 1650991920000 AND unix_milli < 1651078380000 AND bitAnd(flags, 1) = 0 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WINDOW rate_window as (PARTITION BY fingerprint ORDER BY fingerprint, ts)) WHERE isNaN(per_series_value) = 0 GROUP BY service_name, endpoint, ts ORDER BY service_name ASC, endpoint ASC, ts ASC",
 		},
 	}
 
@@ -123,7 +123,7 @@ func TestPrepareMetricQueryDeltaRatePreAgg(t *testing.T) {
 				TimeAggregation:  v3.TimeAggregationRate,
 				SpaceAggregation: v3.SpaceAggregationSum,
 			},
-			expectedQueryContains: "SELECT  toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(sum)/60 as value FROM signoz_metrics.distributed_samples_v4_agg_5m INNER JOIN (SELECT DISTINCT fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz_calls_total'] AND temporality = 'Delta' AND __normalized = true AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_calls_total'] AND unix_milli >= 1650991980000 AND unix_milli < 1651078380000 GROUP BY ts ORDER BY ts ASC",
+			expectedQueryContains: "SELECT  toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(sum)/60 as value FROM signoz_metrics.distributed_samples_v4_agg_5m INNER JOIN (SELECT DISTINCT fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz_calls_total'] AND temporality = 'Delta' AND __normalized = true AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_calls_total'] AND unix_milli >= 1650991980000 AND unix_milli < 1651078380000 AND bitAnd(flags, 1) = 0 GROUP BY ts ORDER BY ts ASC",
 		},
 		{
 			name: "test time aggregation = rate, space aggregation = sum, temporality = delta, group by service_name",
@@ -149,7 +149,7 @@ func TestPrepareMetricQueryDeltaRatePreAgg(t *testing.T) {
 				TimeAggregation:  v3.TimeAggregationRate,
 				SpaceAggregation: v3.SpaceAggregationSum,
 			},
-			expectedQueryContains: "SELECT service_name, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(sum)/60 as value FROM signoz_metrics.distributed_samples_v4_agg_5m INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz_calls_total'] AND temporality = 'Delta' AND __normalized = true AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_calls_total'] AND unix_milli >= 1650991980000 AND unix_milli < 1651078380000 GROUP BY service_name, ts ORDER BY service_name ASC, ts ASC",
+			expectedQueryContains: "SELECT service_name, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(sum)/60 as value FROM signoz_metrics.distributed_samples_v4_agg_5m INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz_calls_total'] AND temporality = 'Delta' AND __normalized = true AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_calls_total'] AND unix_milli >= 1650991980000 AND unix_milli < 1651078380000 AND bitAnd(flags, 1) = 0 GROUP BY service_name, ts ORDER BY service_name ASC, ts ASC",
 		},
 	}
 
@@ -204,7 +204,7 @@ func TestPrepreMetricQueryCumulativeQuantilePreAgg(t *testing.T) {
 				Disabled:         false,
 				SpaceAggregation: v3.SpaceAggregationPercentile99,
 			},
-			expectedQueryContains: "SELECT service_name, ts, histogramQuantile(arrayMap(x -> toFloat64(x), groupArray(le)), groupArray(value), 0.990) as value FROM (SELECT service_name, le, ts, sum(per_series_value) as value FROM (SELECT service_name, le, ts, If((per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) < 0, nan, If((ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window) >= 86400, nan, (per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) / (ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window))) as per_series_value FROM (SELECT fingerprint, any(service_name) as service_name, any(le) as le, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, max(max) as per_series_value FROM signoz_metrics.distributed_samples_v4_agg_5m INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, JSONExtractString(labels, 'le') as le, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz_latency_bucket'] AND temporality = 'Cumulative' AND __normalized = true AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000 AND like(JSONExtractString(labels, 'service_name'), '%frontend%')) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_latency_bucket'] AND unix_milli >= 1650991980000 AND unix_milli < 1651078380000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WINDOW rate_window as (PARTITION BY fingerprint ORDER BY fingerprint, ts)) WHERE isNaN(per_series_value) = 0 GROUP BY service_name, le, ts ORDER BY service_name ASC, le ASC, ts ASC) GROUP BY service_name, ts ORDER BY service_name ASC, ts ASC",
+			expectedQueryContains: "SELECT service_name, ts, histogramQuantile(arrayMap(x -> toFloat64(x), groupArray(le)), groupArray(value), 0.990) as value FROM (SELECT service_name, le, ts, sum(per_series_value) as value FROM (SELECT service_name, le, ts, If((per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) < 0, nan, If((ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window) >= 86400, nan, (per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) / (ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window))) as per_series_value FROM (SELECT fingerprint, any(service_name) as service_name, any(le) as le, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, max(max) as per_series_value FROM signoz_metrics.distributed_samples_v4_agg_5m INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, JSONExtractString(labels, 'le') as le, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz_latency_bucket'] AND temporality = 'Cumulative' AND __normalized = true AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000 AND like(JSONExtractString(labels, 'service_name'), '%frontend%')) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_latency_bucket'] AND unix_milli >= 1650991980000 AND unix_milli < 1651078380000 AND bitAnd(flags, 1) = 0 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WINDOW rate_window as (PARTITION BY fingerprint ORDER BY fingerprint, ts)) WHERE isNaN(per_series_value) = 0 GROUP BY service_name, le, ts ORDER BY service_name ASC, le ASC, ts ASC) GROUP BY service_name, ts ORDER BY service_name ASC, ts ASC",
 		},
 		{
 			name: "test temporality = cumulative, quantile = 0.99 without group by",
@@ -234,7 +234,7 @@ func TestPrepreMetricQueryCumulativeQuantilePreAgg(t *testing.T) {
 				Disabled:         false,
 				SpaceAggregation: v3.SpaceAggregationPercentile99,
 			},
-			expectedQueryContains: "SELECT ts, histogramQuantile(arrayMap(x -> toFloat64(x), groupArray(le)), groupArray(value), 0.990) as value FROM (SELECT le, ts, sum(per_series_value) as value FROM (SELECT le, ts, If((per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) < 0, nan, If((ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window) >= 86400, nan, (per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) / (ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window))) as per_series_value FROM (SELECT fingerprint, any(le) as le, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, max(max) as per_series_value FROM signoz_metrics.distributed_samples_v4_agg_5m INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'le') as le, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz_latency_bucket'] AND temporality = 'Cumulative' AND __normalized = true AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000 AND like(JSONExtractString(labels, 'service_name'), '%frontend%')) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_latency_bucket'] AND unix_milli >= 1650991980000 AND unix_milli < 1651078380000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WINDOW rate_window as (PARTITION BY fingerprint ORDER BY fingerprint, ts)) WHERE isNaN(per_series_value) = 0 GROUP BY le, ts ORDER BY le ASC, ts ASC) GROUP BY ts ORDER BY ts ASC",
+			expectedQueryContains: "SELECT ts, histogramQuantile(arrayMap(x -> toFloat64(x), groupArray(le)), groupArray(value), 0.990) as value FROM (SELECT le, ts, sum(per_series_value) as value FROM (SELECT le, ts, If((per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) < 0, nan, If((ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window) >= 86400, nan, (per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) / (ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window))) as per_series_value FROM (SELECT fingerprint, any(le) as le, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, max(max) as per_series_value FROM signoz_metrics.distributed_samples_v4_agg_5m INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'le') as le, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz_latency_bucket'] AND temporality = 'Cumulative' AND __normalized = true AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000 AND like(JSONExtractString(labels, 'service_name'), '%frontend%')) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_latency_bucket'] AND unix_milli >= 1650991980000 AND unix_milli < 1651078380000 AND bitAnd(flags, 1) = 0 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WINDOW rate_window as (PARTITION BY fingerprint ORDER BY fingerprint, ts)) WHERE isNaN(per_series_value) = 0 GROUP BY le, ts ORDER BY le ASC, ts ASC) GROUP BY ts ORDER BY ts ASC",
 		},
 	}
 
@@ -289,7 +289,7 @@ func TestPrepreMetricQueryDeltaQuantilePreAgg(t *testing.T) {
 				Disabled:         false,
 				SpaceAggregation: v3.SpaceAggregationPercentile99,
 			},
-			expectedQueryContains: "SELECT service_name, ts, histogramQuantile(arrayMap(x -> toFloat64(x), groupArray(le)), groupArray(value), 0.990) as value FROM (SELECT service_name, le, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(sum)/60 as value FROM signoz_metrics.distributed_samples_v4_agg_5m INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, JSONExtractString(labels, 'le') as le, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz_latency_bucket'] AND temporality = 'Delta' AND __normalized = true AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000 AND like(JSONExtractString(labels, 'service_name'), '%frontend%')) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_latency_bucket'] AND unix_milli >= 1650991980000 AND unix_milli < 1651078380000 GROUP BY service_name, le, ts ORDER BY service_name ASC, le ASC, ts ASC) GROUP BY service_name, ts ORDER BY service_name ASC, ts ASC",
+			expectedQueryContains: "SELECT service_name, ts, histogramQuantile(arrayMap(x -> toFloat64(x), groupArray(le)), groupArray(value), 0.990) as value FROM (SELECT service_name, le, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(sum)/60 as value FROM signoz_metrics.distributed_samples_v4_agg_5m INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, JSONExtractString(labels, 'le') as le, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz_latency_bucket'] AND temporality = 'Delta' AND __normalized = true AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000 AND like(JSONExtractString(labels, 'service_name'), '%frontend%')) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_latency_bucket'] AND unix_milli >= 1650991980000 AND unix_milli < 1651078380000 AND bitAnd(flags, 1) = 0 GROUP BY service_name, le, ts ORDER BY service_name ASC, le ASC, ts ASC) GROUP BY service_name, ts ORDER BY service_name ASC, ts ASC",
 		},
 		{
 			name: "test temporality = delta, quantile = 0.99 no group by",
@@ -319,7 +319,7 @@ func TestPrepreMetricQueryDeltaQuantilePreAgg(t *testing.T) {
 				Disabled:         false,
 				SpaceAggregation: v3.SpaceAggregationPercentile99,
 			},
-			expectedQueryContains: "SELECT ts, histogramQuantile(arrayMap(x -> toFloat64(x), groupArray(le)), groupArray(value), 0.990) as value FROM (SELECT le, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(sum)/60 as value FROM signoz_metrics.distributed_samples_v4_agg_5m INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'le') as le, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz_latency_bucket'] AND temporality = 'Delta' AND __normalized = true AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000 AND like(JSONExtractString(labels, 'service_name'), '%frontend%')) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_latency_bucket'] AND unix_milli >= 1650991980000 AND unix_milli < 1651078380000 GROUP BY le, ts ORDER BY le ASC, ts ASC) GROUP BY ts ORDER BY ts ASC",
+			expectedQueryContains: "SELECT ts, histogramQuantile(arrayMap(x -> toFloat64(x), groupArray(le)), groupArray(value), 0.990) as value FROM (SELECT le, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(sum)/60 as value FROM signoz_metrics.distributed_samples_v4_agg_5m INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'le') as le, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz_latency_bucket'] AND temporality = 'Delta' AND __normalized = true AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000 AND like(JSONExtractString(labels, 'service_name'), '%frontend%')) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_latency_bucket'] AND unix_milli >= 1650991980000 AND unix_milli < 1651078380000 AND bitAnd(flags, 1) = 0 GROUP BY le, ts ORDER BY le ASC, ts ASC) GROUP BY ts ORDER BY ts ASC",
 		},
 	}
 
@@ -360,7 +360,7 @@ func TestPrepareMetricQueryGaugePreAgg(t *testing.T) {
 				SpaceAggregation: v3.SpaceAggregationSum,
 				Disabled:         false,
 			},
-			expectedQueryContains: "SELECT ts, sum(per_series_value) as value FROM (SELECT fingerprint,  toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(sum) / sum(count) as per_series_value FROM signoz_metrics.distributed_samples_v4_agg_5m INNER JOIN (SELECT DISTINCT fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['system_cpu_usage'] AND temporality = 'Unspecified' AND __normalized = true AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000) as filtered_time_series USING fingerprint WHERE metric_name IN ['system_cpu_usage'] AND unix_milli >= 1650991980000 AND unix_milli < 1651078380000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WHERE isNaN(per_series_value) = 0 GROUP BY ts ORDER BY ts ASC",
+			expectedQueryContains: "SELECT ts, sum(per_series_value) as value FROM (SELECT fingerprint,  toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(sum) / sum(count) as per_series_value FROM signoz_metrics.distributed_samples_v4_agg_5m INNER JOIN (SELECT DISTINCT fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['system_cpu_usage'] AND temporality = 'Unspecified' AND __normalized = true AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000) as filtered_time_series USING fingerprint WHERE metric_name IN ['system_cpu_usage'] AND unix_milli >= 1650991980000 AND unix_milli < 1651078380000 AND bitAnd(flags, 1) = 0 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WHERE isNaN(per_series_value) = 0 GROUP BY ts ORDER BY ts ASC",
 		},
 		{
 			name: "test gauge query with group by host_name",
@@ -386,7 +386,7 @@ func TestPrepareMetricQueryGaugePreAgg(t *testing.T) {
 				Expression:       "A",
 				Disabled:         false,
 			},
-			expectedQueryContains: "SELECT host_name, ts, sum(per_series_value) as value FROM (SELECT fingerprint, any(host_name) as host_name, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(sum) / sum(count) as per_series_value FROM signoz_metrics.distributed_samples_v4_agg_5m INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'host_name') as host_name, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['system_cpu_usage'] AND temporality = 'Unspecified' AND __normalized = true AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000) as filtered_time_series USING fingerprint WHERE metric_name IN ['system_cpu_usage'] AND unix_milli >= 1650991980000 AND unix_milli < 1651078380000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WHERE isNaN(per_series_value) = 0 GROUP BY host_name, ts ORDER BY host_name ASC, ts ASC",
+			expectedQueryContains: "SELECT host_name, ts, sum(per_series_value) as value FROM (SELECT fingerprint, any(host_name) as host_name, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(sum) / sum(count) as per_series_value FROM signoz_metrics.distributed_samples_v4_agg_5m INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'host_name') as host_name, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['system_cpu_usage'] AND temporality = 'Unspecified' AND __normalized = true AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000) as filtered_time_series USING fingerprint WHERE metric_name IN ['system_cpu_usage'] AND unix_milli >= 1650991980000 AND unix_milli < 1651078380000 AND bitAnd(flags, 1) = 0 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WHERE isNaN(per_series_value) = 0 GROUP BY host_name, ts ORDER BY host_name ASC, ts ASC",
 		},
 	}
 

pkg/query-service/app/metrics/v4/query_builder_test.go

@@ -194,7 +194,7 @@ func TestPrepareMetricQueryCumulativeRate(t *testing.T) {
 				TimeAggregation:  v3.TimeAggregationRate,
 				SpaceAggregation: v3.SpaceAggregationSum,
 			},
-			expectedQueryContains: "SELECT service_name, ts, sum(per_series_value) as value FROM (SELECT service_name, ts, If((per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) < 0, nan, If((ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window) >= 86400, nan, (per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) / (ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window))) as per_series_value FROM (SELECT fingerprint, any(service_name) as service_name, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, max(value) as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz_calls_total'] AND temporality = 'Cumulative' AND __normalized = true AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000 AND like(JSONExtractString(labels, 'service_name'), '%frontend%')) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_calls_total'] AND unix_milli >= 1650991920000 AND unix_milli < 1651078380000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WINDOW rate_window as (PARTITION BY fingerprint ORDER BY fingerprint, ts)) WHERE isNaN(per_series_value) = 0 GROUP BY service_name, ts ORDER BY service_name ASC, ts ASC",
+			expectedQueryContains: "SELECT service_name, ts, sum(per_series_value) as value FROM (SELECT service_name, ts, If((per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) < 0, nan, If((ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window) >= 86400, nan, (per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) / (ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window))) as per_series_value FROM (SELECT fingerprint, any(service_name) as service_name, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, max(value) as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz_calls_total'] AND temporality = 'Cumulative' AND __normalized = true AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000 AND like(JSONExtractString(labels, 'service_name'), '%frontend%')) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_calls_total'] AND unix_milli >= 1650991920000 AND unix_milli < 1651078380000 AND bitAnd(flags, 1) = 0 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WINDOW rate_window as (PARTITION BY fingerprint ORDER BY fingerprint, ts)) WHERE isNaN(per_series_value) = 0 GROUP BY service_name, ts ORDER BY service_name ASC, ts ASC",
 		},
 		{
 			name: "test time aggregation = rate, space aggregation = sum, temporality = cumulative, multiple group by",
@@ -227,7 +227,7 @@ func TestPrepareMetricQueryCumulativeRate(t *testing.T) {
 				TimeAggregation:  v3.TimeAggregationRate,
 				SpaceAggregation: v3.SpaceAggregationSum,
 			},
-			expectedQueryContains: "SELECT service_name, endpoint, ts, sum(per_series_value) as value FROM (SELECT service_name, endpoint, ts, If((per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) < 0, nan, If((ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window) >= 86400, nan, (per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) / (ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window))) as per_series_value FROM (SELECT fingerprint, any(service_name) as service_name, any(endpoint) as endpoint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, max(value) as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, JSONExtractString(labels, 'endpoint') as endpoint, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz_calls_total'] AND temporality = 'Cumulative' AND __normalized = true AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_calls_total'] AND unix_milli >= 1650991920000 AND unix_milli < 1651078380000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WINDOW rate_window as (PARTITION BY fingerprint ORDER BY fingerprint, ts)) WHERE isNaN(per_series_value) = 0 GROUP BY service_name, endpoint, ts ORDER BY service_name ASC, endpoint ASC, ts ASC",
+			expectedQueryContains: "SELECT service_name, endpoint, ts, sum(per_series_value) as value FROM (SELECT service_name, endpoint, ts, If((per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) < 0, nan, If((ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window) >= 86400, nan, (per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) / (ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window))) as per_series_value FROM (SELECT fingerprint, any(service_name) as service_name, any(endpoint) as endpoint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, max(value) as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, JSONExtractString(labels, 'endpoint') as endpoint, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz_calls_total'] AND temporality = 'Cumulative' AND __normalized = true AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_calls_total'] AND unix_milli >= 1650991920000 AND unix_milli < 1651078380000 AND bitAnd(flags, 1) = 0 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WINDOW rate_window as (PARTITION BY fingerprint ORDER BY fingerprint, ts)) WHERE isNaN(per_series_value) = 0 GROUP BY service_name, endpoint, ts ORDER BY service_name ASC, endpoint ASC, ts ASC",
 		},
 	}
 
@@ -268,7 +268,7 @@ func TestPrepareMetricQueryDeltaRate(t *testing.T) {
 				TimeAggregation:  v3.TimeAggregationRate,
 				SpaceAggregation: v3.SpaceAggregationSum,
 			},
-			expectedQueryContains: "SELECT  toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(value)/60 as value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz_calls_total'] AND temporality = 'Delta' AND __normalized = true AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_calls_total'] AND unix_milli >= 1650991980000 AND unix_milli < 1651078380000 GROUP BY ts ORDER BY ts ASC",
+			expectedQueryContains: "SELECT  toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(value)/60 as value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz_calls_total'] AND temporality = 'Delta' AND __normalized = true AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_calls_total'] AND unix_milli >= 1650991980000 AND unix_milli < 1651078380000 AND bitAnd(flags, 1) = 0 GROUP BY ts ORDER BY ts ASC",
 		},
 		{
 			name: "test time aggregation = rate, space aggregation = sum, temporality = delta, group by service_name",
@@ -294,7 +294,7 @@ func TestPrepareMetricQueryDeltaRate(t *testing.T) {
 				TimeAggregation:  v3.TimeAggregationRate,
 				SpaceAggregation: v3.SpaceAggregationSum,
 			},
-			expectedQueryContains: "SELECT service_name, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(value)/60 as value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz_calls_total'] AND temporality = 'Delta' AND __normalized = true AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_calls_total'] AND unix_milli >= 1650991980000 AND unix_milli < 1651078380000 GROUP BY service_name, ts ORDER BY service_name ASC, ts ASC",
+			expectedQueryContains: "SELECT service_name, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(value)/60 as value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz_calls_total'] AND temporality = 'Delta' AND __normalized = true AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_calls_total'] AND unix_milli >= 1650991980000 AND unix_milli < 1651078380000 AND bitAnd(flags, 1) = 0 GROUP BY service_name, ts ORDER BY service_name ASC, ts ASC",
 		},
 	}
 
@@ -349,7 +349,7 @@ func TestPrepreMetricQueryCumulativeQuantile(t *testing.T) {
 				Disabled:         false,
 				SpaceAggregation: v3.SpaceAggregationPercentile99,
 			},
-			expectedQueryContains: "SELECT service_name, ts, histogramQuantile(arrayMap(x -> toFloat64(x), groupArray(le)), groupArray(value), 0.990) as value FROM (SELECT service_name, le, ts, sum(per_series_value) as value FROM (SELECT service_name, le, ts, If((per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) < 0, nan, If((ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window) >= 86400, nan, (per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) / (ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window))) as per_series_value FROM (SELECT fingerprint, any(service_name) as service_name, any(le) as le, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, max(value) as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, JSONExtractString(labels, 'le') as le, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz_latency_bucket'] AND temporality = 'Cumulative' AND __normalized = true AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000 AND like(JSONExtractString(labels, 'service_name'), '%frontend%')) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_latency_bucket'] AND unix_milli >= 1650991980000 AND unix_milli < 1651078380000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WINDOW rate_window as (PARTITION BY fingerprint ORDER BY fingerprint, ts)) WHERE isNaN(per_series_value) = 0 GROUP BY service_name, le, ts ORDER BY service_name ASC, le ASC, ts ASC) GROUP BY service_name, ts ORDER BY service_name ASC, ts ASC",
+			expectedQueryContains: "SELECT service_name, ts, histogramQuantile(arrayMap(x -> toFloat64(x), groupArray(le)), groupArray(value), 0.990) as value FROM (SELECT service_name, le, ts, sum(per_series_value) as value FROM (SELECT service_name, le, ts, If((per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) < 0, nan, If((ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window) >= 86400, nan, (per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) / (ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window))) as per_series_value FROM (SELECT fingerprint, any(service_name) as service_name, any(le) as le, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, max(value) as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, JSONExtractString(labels, 'le') as le, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz_latency_bucket'] AND temporality = 'Cumulative' AND __normalized = true AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000 AND like(JSONExtractString(labels, 'service_name'), '%frontend%')) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_latency_bucket'] AND unix_milli >= 1650991980000 AND unix_milli < 1651078380000 AND bitAnd(flags, 1) = 0 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WINDOW rate_window as (PARTITION BY fingerprint ORDER BY fingerprint, ts)) WHERE isNaN(per_series_value) = 0 GROUP BY service_name, le, ts ORDER BY service_name ASC, le ASC, ts ASC) GROUP BY service_name, ts ORDER BY service_name ASC, ts ASC",
 		},
 		{
 			name: "test temporality = cumulative, quantile = 0.99 without group by",
@@ -379,7 +379,7 @@ func TestPrepreMetricQueryCumulativeQuantile(t *testing.T) {
 				Disabled:         false,
 				SpaceAggregation: v3.SpaceAggregationPercentile99,
 			},
-			expectedQueryContains: "SELECT ts, histogramQuantile(arrayMap(x -> toFloat64(x), groupArray(le)), groupArray(value), 0.990) as value FROM (SELECT le, ts, sum(per_series_value) as value FROM (SELECT le, ts, If((per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) < 0, nan, If((ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window) >= 86400, nan, (per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) / (ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window))) as per_series_value FROM (SELECT fingerprint, any(le) as le, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, max(value) as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'le') as le, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz_latency_bucket'] AND temporality = 'Cumulative' AND __normalized = true AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000 AND like(JSONExtractString(labels, 'service_name'), '%frontend%')) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_latency_bucket'] AND unix_milli >= 1650991980000 AND unix_milli < 1651078380000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WINDOW rate_window as (PARTITION BY fingerprint ORDER BY fingerprint, ts)) WHERE isNaN(per_series_value) = 0 GROUP BY le, ts ORDER BY le ASC, ts ASC) GROUP BY ts ORDER BY ts ASC",
+			expectedQueryContains: "SELECT ts, histogramQuantile(arrayMap(x -> toFloat64(x), groupArray(le)), groupArray(value), 0.990) as value FROM (SELECT le, ts, sum(per_series_value) as value FROM (SELECT le, ts, If((per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) < 0, nan, If((ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window) >= 86400, nan, (per_series_value - lagInFrame(per_series_value, 1, 0) OVER rate_window) / (ts - lagInFrame(ts, 1, toDate('1970-01-01')) OVER rate_window))) as per_series_value FROM (SELECT fingerprint, any(le) as le, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, max(value) as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'le') as le, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz_latency_bucket'] AND temporality = 'Cumulative' AND __normalized = true AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000 AND like(JSONExtractString(labels, 'service_name'), '%frontend%')) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_latency_bucket'] AND unix_milli >= 1650991980000 AND unix_milli < 1651078380000 AND bitAnd(flags, 1) = 0 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WINDOW rate_window as (PARTITION BY fingerprint ORDER BY fingerprint, ts)) WHERE isNaN(per_series_value) = 0 GROUP BY le, ts ORDER BY le ASC, ts ASC) GROUP BY ts ORDER BY ts ASC",
 		},
 	}
 
@@ -434,7 +434,7 @@ func TestPrepreMetricQueryDeltaQuantile(t *testing.T) {
 				Disabled:         false,
 				SpaceAggregation: v3.SpaceAggregationPercentile99,
 			},
-			expectedQueryContains: "SELECT service_name, ts, histogramQuantile(arrayMap(x -> toFloat64(x), groupArray(le)), groupArray(value), 0.990) as value FROM (SELECT service_name, le, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(value)/60 as value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, JSONExtractString(labels, 'le') as le, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz_latency_bucket'] AND temporality = 'Delta' AND __normalized = true AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000 AND like(JSONExtractString(labels, 'service_name'), '%frontend%')) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_latency_bucket'] AND unix_milli >= 1650991980000 AND unix_milli < 1651078380000 GROUP BY service_name, le, ts ORDER BY service_name ASC, le ASC, ts ASC) GROUP BY service_name, ts ORDER BY service_name ASC, ts ASC",
+			expectedQueryContains: "SELECT service_name, ts, histogramQuantile(arrayMap(x -> toFloat64(x), groupArray(le)), groupArray(value), 0.990) as value FROM (SELECT service_name, le, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(value)/60 as value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'service_name') as service_name, JSONExtractString(labels, 'le') as le, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz_latency_bucket'] AND temporality = 'Delta' AND __normalized = true AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000 AND like(JSONExtractString(labels, 'service_name'), '%frontend%')) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_latency_bucket'] AND unix_milli >= 1650991980000 AND unix_milli < 1651078380000 AND bitAnd(flags, 1) = 0 GROUP BY service_name, le, ts ORDER BY service_name ASC, le ASC, ts ASC) GROUP BY service_name, ts ORDER BY service_name ASC, ts ASC",
 		},
 		{
 			name: "test temporality = delta, quantile = 0.99 no group by",
@@ -464,7 +464,7 @@ func TestPrepreMetricQueryDeltaQuantile(t *testing.T) {
 				Disabled:         false,
 				SpaceAggregation: v3.SpaceAggregationPercentile99,
 			},
-			expectedQueryContains: "SELECT ts, histogramQuantile(arrayMap(x -> toFloat64(x), groupArray(le)), groupArray(value), 0.990) as value FROM (SELECT le, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(value)/60 as value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'le') as le, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz_latency_bucket'] AND temporality = 'Delta' AND __normalized = true AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000 AND like(JSONExtractString(labels, 'service_name'), '%frontend%')) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_latency_bucket'] AND unix_milli >= 1650991980000 AND unix_milli < 1651078380000 GROUP BY le, ts ORDER BY le ASC, ts ASC) GROUP BY ts ORDER BY ts ASC",
+			expectedQueryContains: "SELECT ts, histogramQuantile(arrayMap(x -> toFloat64(x), groupArray(le)), groupArray(value), 0.990) as value FROM (SELECT le, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, sum(value)/60 as value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'le') as le, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['signoz_latency_bucket'] AND temporality = 'Delta' AND __normalized = true AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000 AND like(JSONExtractString(labels, 'service_name'), '%frontend%')) as filtered_time_series USING fingerprint WHERE metric_name IN ['signoz_latency_bucket'] AND unix_milli >= 1650991980000 AND unix_milli < 1651078380000 AND bitAnd(flags, 1) = 0 GROUP BY le, ts ORDER BY le ASC, ts ASC) GROUP BY ts ORDER BY ts ASC",
 		},
 	}
 
@@ -505,7 +505,7 @@ func TestPrepareMetricQueryGauge(t *testing.T) {
 				SpaceAggregation: v3.SpaceAggregationSum,
 				Disabled:         false,
 			},
-			expectedQueryContains: "SELECT ts, sum(per_series_value) as value FROM (SELECT fingerprint,  toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, avg(value) as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['system_cpu_usage'] AND temporality = 'Unspecified' AND __normalized = true AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000) as filtered_time_series USING fingerprint WHERE metric_name IN ['system_cpu_usage'] AND unix_milli >= 1650991980000 AND unix_milli < 1651078380000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WHERE isNaN(per_series_value) = 0 GROUP BY ts ORDER BY ts ASC",
+			expectedQueryContains: "SELECT ts, sum(per_series_value) as value FROM (SELECT fingerprint,  toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, avg(value) as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['system_cpu_usage'] AND temporality = 'Unspecified' AND __normalized = true AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000) as filtered_time_series USING fingerprint WHERE metric_name IN ['system_cpu_usage'] AND unix_milli >= 1650991980000 AND unix_milli < 1651078380000 AND bitAnd(flags, 1) = 0 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WHERE isNaN(per_series_value) = 0 GROUP BY ts ORDER BY ts ASC",
 		},
 		{
 			name: "test value filter with string value",
@@ -562,7 +562,7 @@ func TestPrepareMetricQueryGauge(t *testing.T) {
 				Expression:       "A",
 				Disabled:         false,
 			},
-			expectedQueryContains: "SELECT host_name, ts, sum(per_series_value) as value FROM (SELECT fingerprint, any(host_name) as host_name, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, avg(value) as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'host_name') as host_name, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['system_cpu_usage'] AND temporality = 'Unspecified' AND __normalized = true AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000) as filtered_time_series USING fingerprint WHERE metric_name IN ['system_cpu_usage'] AND unix_milli >= 1650991980000 AND unix_milli < 1651078380000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WHERE isNaN(per_series_value) = 0 GROUP BY host_name, ts ORDER BY host_name ASC, ts ASC",
+			expectedQueryContains: "SELECT host_name, ts, sum(per_series_value) as value FROM (SELECT fingerprint, any(host_name) as host_name, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, avg(value) as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'host_name') as host_name, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['system_cpu_usage'] AND temporality = 'Unspecified' AND __normalized = true AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000) as filtered_time_series USING fingerprint WHERE metric_name IN ['system_cpu_usage'] AND unix_milli >= 1650991980000 AND unix_milli < 1651078380000 AND bitAnd(flags, 1) = 0 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WHERE isNaN(per_series_value) = 0 GROUP BY host_name, ts ORDER BY host_name ASC, ts ASC",
 		},
 		{
 			name: "test gauge query with multiple group by with metric and attribute name containing dot",
@@ -631,7 +631,7 @@ func TestPrepareMetricQueryGauge(t *testing.T) {
 				ReduceTo: v3.ReduceToOperatorAvg,
 				Having:   []v3.Having{},
 			},
-			expectedQueryContains: "SELECT `os.type`, state, `host.name`, ts, max(per_series_value) as value FROM (SELECT fingerprint, any(`os.type`) as `os.type`, any(state) as state, any(`host.name`) as `host.name`, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, max(value) as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'os.type') as `os.type`, JSONExtractString(labels, 'state') as state, JSONExtractString(labels, 'host.name') as `host.name`, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['system.memory.usage'] AND temporality = 'Unspecified' AND __normalized = true AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000 AND JSONExtractString(labels, 'host.name') = 'signoz-host') as filtered_time_series USING fingerprint WHERE metric_name IN ['system.memory.usage'] AND unix_milli >= 1650991980000 AND unix_milli < 1651078380000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WHERE isNaN(per_series_value) = 0 GROUP BY `os.type`, state, `host.name`, ts ORDER BY `os.type` desc, state asc, `host.name` ASC, ts ASC",
+			expectedQueryContains: "SELECT `os.type`, state, `host.name`, ts, max(per_series_value) as value FROM (SELECT fingerprint, any(`os.type`) as `os.type`, any(state) as state, any(`host.name`) as `host.name`, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, max(value) as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'os.type') as `os.type`, JSONExtractString(labels, 'state') as state, JSONExtractString(labels, 'host.name') as `host.name`, fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN ['system.memory.usage'] AND temporality = 'Unspecified' AND __normalized = true AND unix_milli >= 1650931200000 AND unix_milli < 1651078380000 AND JSONExtractString(labels, 'host.name') = 'signoz-host') as filtered_time_series USING fingerprint WHERE metric_name IN ['system.memory.usage'] AND unix_milli >= 1650991980000 AND unix_milli < 1651078380000 AND bitAnd(flags, 1) = 0 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WHERE isNaN(per_series_value) = 0 GROUP BY `os.type`, state, `host.name`, ts ORDER BY `os.type` desc, state asc, `host.name` ASC, ts ASC",
 		},
 	}
 
@@ -711,7 +711,7 @@ func TestPrepareMetricQueryValueTypePanelWithGroupBY(t *testing.T) {
 					},
 				},
 			},
-			expectedQueryContains: "SELECT max(value) as aggregated_value, ts FROM (SELECT state, ts, avg(per_series_value) as value FROM (SELECT fingerprint, any(state) as state, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, anyLast(value) as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'state') as state, fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['system_memory_usage'] AND temporality = 'Delta' AND __normalized = true AND unix_milli >= 1735891200000 AND unix_milli < 1735894800000 AND JSONExtractString(labels, 'os_type') = 'linux') as filtered_time_series USING fingerprint WHERE metric_name IN ['system_memory_usage'] AND unix_milli >= 1735891800000 AND unix_milli < 1735894800000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WHERE isNaN(per_series_value) = 0 GROUP BY state, ts ORDER BY state desc, ts ASC) GROUP BY ts ORDER BY ts",
+			expectedQueryContains: "SELECT max(value) as aggregated_value, ts FROM (SELECT state, ts, avg(per_series_value) as value FROM (SELECT fingerprint, any(state) as state, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, anyLast(value) as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'state') as state, fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['system_memory_usage'] AND temporality = 'Delta' AND __normalized = true AND unix_milli >= 1735891200000 AND unix_milli < 1735894800000 AND JSONExtractString(labels, 'os_type') = 'linux') as filtered_time_series USING fingerprint WHERE metric_name IN ['system_memory_usage'] AND unix_milli >= 1735891800000 AND unix_milli < 1735894800000 AND bitAnd(flags, 1) = 0 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WHERE isNaN(per_series_value) = 0 GROUP BY state, ts ORDER BY state desc, ts ASC) GROUP BY ts ORDER BY ts",
 		},
 		{
 			name: "test temporality = cumulative, panel = value, series agg = max group by state, host_name",
@@ -777,7 +777,7 @@ func TestPrepareMetricQueryValueTypePanelWithGroupBY(t *testing.T) {
 					},
 				},
 			},
-			expectedQueryContains: "SELECT max(value) as aggregated_value, ts FROM (SELECT state, host_name, ts, avg(per_series_value) as value FROM (SELECT fingerprint, any(state) as state, any(host_name) as host_name, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, anyLast(value) as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'state') as state, JSONExtractString(labels, 'host_name') as host_name, fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['system_memory_usage'] AND temporality = 'Cumulative' AND __normalized = true AND unix_milli >= 1735891200000 AND unix_milli < 1735894800000 AND JSONExtractString(labels, 'os_type') = 'linux') as filtered_time_series USING fingerprint WHERE metric_name IN ['system_memory_usage'] AND unix_milli >= 1735891800000 AND unix_milli < 1735894800000 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WHERE isNaN(per_series_value) = 0 GROUP BY state, host_name, ts ORDER BY state desc, host_name ASC, ts ASC) GROUP BY ts ORDER BY ts",
+			expectedQueryContains: "SELECT max(value) as aggregated_value, ts FROM (SELECT state, host_name, ts, avg(per_series_value) as value FROM (SELECT fingerprint, any(state) as state, any(host_name) as host_name, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL 60 SECOND) as ts, anyLast(value) as per_series_value FROM signoz_metrics.distributed_samples_v4 INNER JOIN (SELECT DISTINCT JSONExtractString(labels, 'state') as state, JSONExtractString(labels, 'host_name') as host_name, fingerprint FROM signoz_metrics.time_series_v4 WHERE metric_name IN ['system_memory_usage'] AND temporality = 'Cumulative' AND __normalized = true AND unix_milli >= 1735891200000 AND unix_milli < 1735894800000 AND JSONExtractString(labels, 'os_type') = 'linux') as filtered_time_series USING fingerprint WHERE metric_name IN ['system_memory_usage'] AND unix_milli >= 1735891800000 AND unix_milli < 1735894800000 AND bitAnd(flags, 1) = 0 GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WHERE isNaN(per_series_value) = 0 GROUP BY state, host_name, ts ORDER BY state desc, host_name ASC, ts ASC) GROUP BY ts ORDER BY ts",
 		},
 	}
 

pkg/query-service/app/metricsexplorer/summary.go

@@ -225,21 +225,21 @@ func (receiver *SummaryService) GetMetricsTreemap(ctx context.Context, params *m
 	var response metrics_explorer.TreeMap
 	switch params.Treemap {
 	case metrics_explorer.TimeSeriesTeeMap:
-		cardinality, apiError := receiver.reader.GetMetricsTimeSeriesPercentage(ctx, params)
+		ts, apiError := receiver.reader.GetMetricsTimeSeriesPercentage(ctx, params)
 		if apiError != nil {
 			return nil, apiError
 		}
-		if cardinality != nil {
-			response.TimeSeries = *cardinality
+		if ts != nil {
+			response.TimeSeries = *ts
 		}
 		return &response, nil
 	case metrics_explorer.SamplesTreeMap:
-		dataPoints, apiError := receiver.reader.GetMetricsSamplesPercentage(ctx, params)
+		samples, apiError := receiver.reader.GetMetricsSamplesPercentage(ctx, params)
 		if apiError != nil {
 			return nil, apiError
 		}
-		if dataPoints != nil {
-			response.Samples = *dataPoints
+		if samples != nil {
+			response.Samples = *samples
 		}
 		return &response, nil
 	default:

pkg/query-service/app/parser.go

@@ -21,6 +21,7 @@ import (
 	"github.com/gorilla/mux"
 	promModel "github.com/prometheus/common/model"
 	"go.uber.org/multierr"
+	"go.uber.org/zap"
 
 	"github.com/SigNoz/signoz/pkg/query-service/app/metrics"
 	"github.com/SigNoz/signoz/pkg/query-service/app/queryBuilder"
@@ -34,6 +35,7 @@ import (
 	"github.com/SigNoz/signoz/pkg/query-service/utils"
 	querytemplate "github.com/SigNoz/signoz/pkg/query-service/utils/queryTemplate"
 	"github.com/SigNoz/signoz/pkg/types"
+	chVariables "github.com/SigNoz/signoz/pkg/variables/clickhouse"
 )
 
 var allowedFunctions = []string{"count", "ratePerSec", "sum", "avg", "min", "max", "p50", "p90", "p95", "p99"}
@@ -841,6 +843,29 @@ func validateExpressions(expressions []string, funcs map[string]govaluate.Expres
 	return errs
 }
 
+// chTransformQuery transforms the clickhouse query with the given variables
+// it is used to check what would be the query if variables are selected as __all__.
+// for now, this is just a pass through, but in the future, we will use it to
+// dashboard variables
+// TODO(srikanthccv): version based query replacement
+func chTransformQuery(query string, variables map[string]interface{}) {
+	varsForTransform := make([]chVariables.VariableValue, 0, len(variables))
+	for name := range variables {
+		varsForTransform = append(varsForTransform, chVariables.VariableValue{
+			Name:        name,
+			Values:      []string{"__all__"},
+			IsSelectAll: true,
+			FieldType:   "scalar",
+		})
+	}
+	transformer := chVariables.NewQueryTransformer(query, varsForTransform)
+	transformedQuery, err := transformer.Transform()
+	if err != nil {
+		zap.L().Warn("failed to transform clickhouse query", zap.Error(err))
+	}
+	zap.L().Info("transformed clickhouse query", zap.String("transformedQuery", transformedQuery), zap.String("originalQuery", query))
+}
+
 func ParseQueryRangeParams(r *http.Request) (*v3.QueryRangeParamsV3, *model.ApiError) {
 
 	var queryRangeParams *v3.QueryRangeParamsV3
@@ -979,6 +1004,7 @@ func ParseQueryRangeParams(r *http.Request) (*v3.QueryRangeParamsV3, *model.ApiE
 				continue
 			}
 
+			chTransformQuery(chQuery.Query, queryRangeParams.Variables)
 			for name, value := range queryRangeParams.Variables {
 				chQuery.Query = strings.Replace(chQuery.Query, fmt.Sprintf("{{%s}}", name), fmt.Sprint(value), -1)
 				chQuery.Query = strings.Replace(chQuery.Query, fmt.Sprintf("[[%s]]", name), fmt.Sprint(value), -1)

pkg/query-service/app/summary.go

@@ -89,13 +89,13 @@ func (aH *APIHandler) GetTreeMap(w http.ResponseWriter, r *http.Request) {
 	ctx := r.Context()
 	params, apiError := explorer.ParseTreeMapMetricsParams(r)
 	if apiError != nil {
-		zap.L().Error("error parsing heatmap metric params", zap.Error(apiError.Err))
+		zap.L().Error("error parsing tree map metric params", zap.Error(apiError.Err))
 		RespondError(w, apiError, nil)
 		return
 	}
 	result, apiError := aH.SummaryService.GetMetricsTreemap(ctx, params)
 	if apiError != nil {
-		zap.L().Error("error getting heatmap data", zap.Error(apiError.Err))
+		zap.L().Error("error getting tree map data", zap.Error(apiError.Err))
 		RespondError(w, apiError, nil)
 		return
 	}

pkg/query-service/model/featureSet.go

@@ -24,6 +24,7 @@ const AlertChannelOpsgenie = "ALERT_CHANNEL_OPSGENIE"
 const AlertChannelEmail = "ALERT_CHANNEL_EMAIL"
 const AnomalyDetection = "ANOMALY_DETECTION"
 const HostsInfraMonitoring = "HOSTS_INFRA_MONITORING"
+const TraceFunnels = "TRACE_FUNNELS"
 
 var BasicPlan = FeatureSet{
 	Feature{
@@ -124,4 +125,11 @@ var BasicPlan = FeatureSet{
 		UsageLimit: -1,
 		Route:      "",
 	},
+	Feature{
+		Name:       TraceFunnels,
+		Active:     false,
+		Usage:      0,
+		UsageLimit: -1,
+		Route:      "",
+	},
 }

pkg/query-service/model/metrics_explorer/summary.go

@@ -9,7 +9,7 @@ type SummaryListMetricsRequest struct {
 	Limit   int          `json:"limit"`
 	OrderBy v3.OrderBy   `json:"orderBy"`
 	Start   int64        `json:"start"`
-	EndD    int64        `json:"end"`
+	End     int64        `json:"end"`
 	Filters v3.FilterSet `json:"filters"`
 }
 
@@ -24,7 +24,7 @@ type TreeMapMetricsRequest struct {
 	Limit   int          `json:"limit"`
 	Treemap TreeMapType  `json:"treemap"`
 	Start   int64        `json:"start"`
-	EndD    int64        `json:"end"`
+	End     int64        `json:"end"`
 	Filters v3.FilterSet `json:"filters"`
 }
 

pkg/query-service/telemetry/telemetry.go

@@ -740,7 +740,7 @@ func (a *Telemetry) SendEvent(event string, data map[string]interface{}, userEma
 
 	// zap.L().Info(data)
 	properties := analytics.NewProperties()
-	properties.Set("version", version.Info.Version)
+	properties.Set("version", version.Info.Version())
 	properties.Set("deploymentType", getDeploymentType())
 	properties.Set("companyDomain", a.getCompanyDomain())
 

pkg/signoz/provider.go

@@ -10,7 +10,6 @@ import (
 	"github.com/SigNoz/signoz/pkg/factory"
 	"github.com/SigNoz/signoz/pkg/sqlmigration"
 	"github.com/SigNoz/signoz/pkg/sqlstore"
-	"github.com/SigNoz/signoz/pkg/sqlstore/postgressqlstore"
 	"github.com/SigNoz/signoz/pkg/sqlstore/sqlitesqlstore"
 	"github.com/SigNoz/signoz/pkg/sqlstore/sqlstorehook"
 	"github.com/SigNoz/signoz/pkg/telemetrystore"
@@ -39,7 +38,6 @@ func NewSQLStoreProviderFactories() factory.NamedMap[factory.ProviderFactory[sql
 	hook := sqlstorehook.NewLoggingFactory()
 	return factory.MustNewNamedMap(
 		sqlitesqlstore.NewFactory(hook),
-		postgressqlstore.NewFactory(hook),
 	)
 }
 

pkg/variables/clickhouse/processor.go

@@ -0,0 +1,511 @@
+package clickhouse
+
+import (
+	"fmt"
+	"strings"
+
+	"github.com/AfterShip/clickhouse-sql-parser/parser"
+)
+
+// FilterAction represents what to do with a filter containing a variable
+type FilterAction int
+
+const (
+	// KeepFilter maintains the original filter
+	KeepFilter FilterAction = iota
+	// RemoveFilter completely removes the filter
+	RemoveFilter
+	// ReplaceWithExistsCheck replaces filter with an EXISTS check
+	ReplaceWithExistsCheck
+)
+
+// FilterTransformer defines the callback function that decides
+// what to do with a filter containing a variable
+type FilterTransformer func(variableName string, expr parser.Expr) FilterAction
+
+// QueryProcessor handles ClickHouse query modifications
+type QueryProcessor struct {
+}
+
+// NewQueryProcessor creates a new processor
+func NewQueryProcessor() *QueryProcessor {
+	return &QueryProcessor{}
+}
+
+// ProcessQuery finds variables in WHERE clauses and modifies them according to the transformer function
+func (qp *QueryProcessor) ProcessQuery(query string, transformer FilterTransformer) (string, error) {
+	p := parser.NewParser(query)
+	stmts, err := p.ParseStmts()
+	if err != nil {
+		return "", fmt.Errorf("failed to parse query: %w", err)
+	}
+
+	if len(stmts) == 0 {
+		return query, nil
+	}
+
+	// Look for SELECT statements
+	modified := false
+	for i, stmt := range stmts {
+		selectQuery, ok := stmt.(*parser.SelectQuery)
+		if !ok {
+			continue
+		}
+
+		whereModified, err := qp.processWhereClause(selectQuery, transformer)
+		if err != nil {
+			return "", err
+		}
+		if whereModified {
+			modified = true
+			stmts[i] = selectQuery
+		}
+	}
+
+	if !modified {
+		return query, nil
+	}
+
+	// Reconstruct the query
+	var resultBuilder strings.Builder
+	for _, stmt := range stmts {
+		resultBuilder.WriteString(stmt.String())
+		resultBuilder.WriteString(";")
+	}
+
+	return resultBuilder.String(), nil
+}
+
+// processWhereClause processes the WHERE clause in a SELECT statement
+func (qp *QueryProcessor) processWhereClause(selectQuery *parser.SelectQuery, transformer FilterTransformer) (bool, error) {
+	// First, process any subqueries in the FROM clause
+	if selectQuery.From != nil {
+		subQueryModified, err := qp.processFromClauseSubqueries(selectQuery.From, transformer)
+		if err != nil {
+			return false, err
+		}
+		if subQueryModified {
+			// Mark as modified if any subqueries were modified
+			return true, nil
+		}
+	}
+
+	// Then process the main WHERE clause
+	if selectQuery.Where == nil {
+		return false, nil
+	}
+
+	// Process the WHERE expression, which may include subqueries
+	modified := false
+	newExpr, hasChanged, err := qp.transformExpr(selectQuery.Where.Expr, transformer)
+	if err != nil {
+		return false, err
+	}
+
+	if hasChanged {
+		modified = true
+		if newExpr == nil {
+			// If the entire WHERE clause is removed
+			selectQuery.Where = nil
+		} else {
+			selectQuery.Where.Expr = newExpr
+		}
+	}
+
+	return modified, nil
+}
+
+// processFromClauseSubqueries recursively processes subqueries in the FROM clause
+func (qp *QueryProcessor) processFromClauseSubqueries(fromClause *parser.FromClause, transformer FilterTransformer) (bool, error) {
+	if fromClause == nil {
+		return false, nil
+	}
+
+	return qp.processExprSubqueries(fromClause.Expr, transformer)
+}
+
+// processExprSubqueries processes subqueries found in expressions
+func (qp *QueryProcessor) processExprSubqueries(expr parser.Expr, transformer FilterTransformer) (bool, error) {
+	if expr == nil {
+		return false, nil
+	}
+
+	modified := false
+
+	switch e := expr.(type) {
+	case *parser.SubQuery:
+		// Process the subquery's SELECT statement
+		if e.Select != nil {
+			subQueryModified, err := qp.processWhereClause(e.Select, transformer)
+			if err != nil {
+				return false, err
+			}
+			if subQueryModified {
+				modified = true
+			}
+		}
+
+	case *parser.BinaryOperation:
+		// Check left and right expressions for subqueries
+		leftModified, err := qp.processExprSubqueries(e.LeftExpr, transformer)
+		if err != nil {
+			return false, err
+		}
+
+		rightModified, err := qp.processExprSubqueries(e.RightExpr, transformer)
+		if err != nil {
+			return false, err
+		}
+
+		if leftModified || rightModified {
+			modified = true
+		}
+
+	case *parser.JoinExpr:
+		// Process both sides of the join
+		leftModified, err := qp.processExprSubqueries(e.Left, transformer)
+		if err != nil {
+			return false, err
+		}
+
+		rightModified, err := qp.processExprSubqueries(e.Right, transformer)
+		if err != nil {
+			return false, err
+		}
+
+		// Process join constraints if any
+		constraintsModified, err := qp.processExprSubqueries(e.Constraints, transformer)
+		if err != nil {
+			return false, err
+		}
+
+		if leftModified || rightModified || constraintsModified {
+			modified = true
+		}
+
+	case *parser.TableExpr:
+		// Process any subqueries in the table expression
+		return qp.processExprSubqueries(e.Expr, transformer)
+
+	case *parser.AliasExpr:
+		// Check if the aliased expression contains a subquery
+		return qp.processExprSubqueries(e.Expr, transformer)
+
+	case *parser.FunctionExpr:
+		// Check function parameters for subqueries
+		if e.Params != nil && e.Params.Items != nil {
+			for _, item := range e.Params.Items.Items {
+				itemModified, err := qp.processExprSubqueries(item, transformer)
+				if err != nil {
+					return false, err
+				}
+				if itemModified {
+					modified = true
+				}
+			}
+		}
+	}
+
+	return modified, nil
+}
+
+// transformExpr recursively processes expressions in the WHERE clause
+func (qp *QueryProcessor) transformExpr(expr parser.Expr, transformer FilterTransformer) (parser.Expr, bool, error) {
+	if expr == nil {
+		return nil, false, nil
+	}
+
+	// Handle different expression types
+	switch e := expr.(type) {
+	case *parser.SubQuery:
+		// Handle subqueries like "column IN (SELECT...)"
+		if e.Select != nil {
+			modified, err := qp.processWhereClause(e.Select, transformer)
+			if err != nil {
+				return nil, false, err
+			}
+			return expr, modified, nil
+		}
+
+	case *parser.BinaryOperation:
+		// Handle IN with a subquery on the right
+		if e.Operation == "IN" || e.Operation == "NOT IN" {
+			_, rightIsSubQuery := e.RightExpr.(*parser.SubQuery)
+			if rightIsSubQuery {
+				// If right side is a subquery, check if left side has variables
+				leftVars := qp.findVariables(e.LeftExpr)
+				if len(leftVars) > 0 {
+					// Apply action to the entire IN clause
+					action := transformer(leftVars[0], expr)
+					switch action {
+					case RemoveFilter:
+						return nil, true, nil
+					case ReplaceWithExistsCheck:
+						return qp.createExistsCheck(expr, leftVars[0])
+					}
+				}
+
+				// Process the subquery separately (regardless of whether we modified based on left side)
+				newRight, rightChanged, err := qp.transformExpr(e.RightExpr, transformer)
+				if err != nil {
+					return nil, false, err
+				}
+
+				if rightChanged {
+					return &parser.BinaryOperation{
+						LeftExpr:  e.LeftExpr,
+						Operation: e.Operation,
+						RightExpr: newRight,
+						HasGlobal: e.HasGlobal,
+						HasNot:    e.HasNot,
+					}, true, nil
+				}
+
+				// If no changes, return the original
+				return expr, false, nil
+			}
+		}
+
+		// Check if this specific binary operation directly contains a variable
+		leftVars := qp.findVariables(e.LeftExpr)
+		rightVars := qp.findVariables(e.RightExpr)
+
+		// If this is a direct filter with a variable (e.g., "column = $var")
+		// and not a complex expression, handle it directly
+		if len(leftVars) > 0 && len(rightVars) == 0 &&
+			!qp.isComplexExpression(e.LeftExpr) && !qp.isComplexExpression(e.RightExpr) {
+			action := transformer(leftVars[0], expr)
+			switch action {
+			case RemoveFilter:
+				return nil, true, nil
+			case ReplaceWithExistsCheck:
+				return qp.createExistsCheck(expr, leftVars[0])
+			}
+		} else if len(rightVars) > 0 && len(leftVars) == 0 &&
+			!qp.isComplexExpression(e.LeftExpr) && !qp.isComplexExpression(e.RightExpr) {
+			action := transformer(rightVars[0], expr)
+			switch action {
+			case RemoveFilter:
+				return nil, true, nil
+			case ReplaceWithExistsCheck:
+				return qp.createExistsCheck(expr, rightVars[0])
+			}
+		}
+
+		// Otherwise, recursively process left and right sides
+		newLeft, leftChanged, err := qp.transformExpr(e.LeftExpr, transformer)
+		if err != nil {
+			return nil, false, err
+		}
+
+		newRight, rightChanged, err := qp.transformExpr(e.RightExpr, transformer)
+		if err != nil {
+			return nil, false, err
+		}
+
+		if leftChanged || rightChanged {
+			if e.Operation == "AND" {
+				// For AND operations, if either side is nil (removed), we can simplify
+				if newLeft == nil {
+					return newRight, true, nil
+				}
+				if newRight == nil {
+					return newLeft, true, nil
+				}
+			} else if (newLeft == nil || newRight == nil) &&
+				(e.Operation == "=" || e.Operation == "IN" ||
+					e.Operation == "<" || e.Operation == ">" ||
+					e.Operation == "<=" || e.Operation == ">=") {
+				// For direct comparison operations, if one side is removed, remove the entire expression
+				return nil, true, nil
+			}
+
+			// Create a new binary operation with the modified sides
+			return &parser.BinaryOperation{
+				LeftExpr:  newLeft,
+				Operation: e.Operation,
+				RightExpr: newRight,
+				HasGlobal: e.HasGlobal,
+				HasNot:    e.HasNot,
+			}, true, nil
+		}
+	}
+
+	// For other expression types that may contain variables
+	variables := qp.findVariables(expr)
+	if len(variables) > 0 && !qp.isComplexExpression(expr) {
+		action := transformer(variables[0], expr)
+		switch action {
+		case RemoveFilter:
+			return nil, true, nil
+		case ReplaceWithExistsCheck:
+			return qp.createExistsCheck(expr, variables[0])
+		}
+	}
+
+	return expr, false, nil
+}
+
+// isComplexExpression checks if an expression contains nested operations
+// that should not be treated as a simple variable reference
+func (qp *QueryProcessor) isComplexExpression(expr parser.Expr) bool {
+	switch e := expr.(type) {
+	case *parser.BinaryOperation:
+		// If it's a binary operation, it's complex
+		return true
+	case *parser.FunctionExpr:
+		// If it's a function, examine its parameters
+		if e.Params != nil && e.Params.Items != nil {
+			for _, item := range e.Params.Items.Items {
+				if qp.isComplexExpression(item) {
+					return true
+				}
+			}
+		}
+	}
+	return false
+}
+
+// findVariables finds all variables in an expression
+func (qp *QueryProcessor) findVariables(expr parser.Expr) []string {
+	var variables []string
+
+	if expr == nil {
+		return variables
+	}
+
+	switch e := expr.(type) {
+	case *parser.Ident:
+		// we should identify the following ways of using variables
+		// whitespace at the end or beginning of the variable name
+		// should be trimmed
+		// {{.variable_name}}, {{ .variable_name }}, {{  .variable_name}}
+		// $variable_name
+		// [[variable_name]], [[ variable_name]], [[    variable_name ]]
+		// {{variable_name}}, {{ variable_name }}, {{variable_name  }}
+
+		if strings.HasPrefix(e.Name, "$") {
+			variables = append(variables, e.Name[1:]) // Remove the $ prefix
+		}
+
+	case *parser.BinaryOperation:
+		variables = append(variables, qp.findVariables(e.LeftExpr)...)
+		variables = append(variables, qp.findVariables(e.RightExpr)...)
+	case *parser.FunctionExpr:
+		if e.Params != nil && e.Params.Items != nil {
+			for _, item := range e.Params.Items.Items {
+				variables = append(variables, qp.findVariables(item)...)
+			}
+		}
+	case *parser.ColumnExpr:
+		variables = append(variables, qp.findVariables(e.Expr)...)
+	case *parser.ParamExprList:
+		if e.Items != nil {
+			for _, item := range e.Items.Items {
+				variables = append(variables, qp.findVariables(item)...)
+			}
+		}
+	case *parser.SelectItem:
+		variables = append(variables, qp.findVariables(e.Expr)...)
+	case *parser.IndexOperation:
+		variables = append(variables, qp.findVariables(e.Object)...)
+		variables = append(variables, qp.findVariables(e.Index)...)
+	}
+
+	return variables
+}
+
+// createExistsCheck creates an EXISTS check for a column/map field
+func (qp *QueryProcessor) createExistsCheck(expr parser.Expr, _ string) (parser.Expr, bool, error) {
+	switch e := expr.(type) {
+	case *parser.BinaryOperation:
+		// Handle map field access like "attributes['http.method'] = $http_method"
+		if indexOp, ok := e.LeftExpr.(*parser.IndexOperation); ok {
+			// Create a "has" function check for maps
+			functionName := &parser.Ident{
+				Name: "has",
+			}
+
+			// Create function parameters with the map and the key
+			params := &parser.ParamExprList{
+				Items: &parser.ColumnExprList{
+					Items: []parser.Expr{
+						indexOp.Object, // The map name (e.g., "attributes")
+						indexOp.Index,  // The key (e.g., "'http.method'")
+					},
+				},
+			}
+
+			return &parser.FunctionExpr{
+				Name:   functionName,
+				Params: params,
+			}, true, nil
+		}
+
+		// Handle direct field comparisons like "field = $variable"
+		if ident, ok := e.LeftExpr.(*parser.Ident); ok && !strings.HasPrefix(ident.Name, "$") {
+			// For regular columns, we might want to check if the column exists or has a non-null value
+			functionName := &parser.Ident{
+				Name: "isNotNull",
+			}
+
+			// Create function parameters
+			params := &parser.ParamExprList{
+				Items: &parser.ColumnExprList{
+					Items: []parser.Expr{
+						ident, // The field name
+					},
+				},
+			}
+
+			return &parser.FunctionExpr{
+				Name:   functionName,
+				Params: params,
+			}, true, nil
+		} else if ident, ok := e.RightExpr.(*parser.Ident); ok && !strings.HasPrefix(ident.Name, "$") {
+			// For regular columns, but variable is on the left
+			functionName := &parser.Ident{
+				Name: "isNotNull",
+			}
+
+			params := &parser.ParamExprList{
+				Items: &parser.ColumnExprList{
+					Items: []parser.Expr{
+						ident, // The field name
+					},
+				},
+			}
+
+			return &parser.FunctionExpr{
+				Name:   functionName,
+				Params: params,
+			}, true, nil
+		}
+
+		// Handle IN clauses like "field IN ($variables)"
+		if e.Operation == "IN" || e.Operation == "NOT IN" {
+			if ident, ok := e.LeftExpr.(*parser.Ident); ok && !strings.HasPrefix(ident.Name, "$") {
+				// For IN clauses, we might just check if the field exists
+				functionName := &parser.Ident{
+					Name: "isNotNull",
+				}
+
+				params := &parser.ParamExprList{
+					Items: &parser.ColumnExprList{
+						Items: []parser.Expr{
+							ident, // The field name
+						},
+					},
+				}
+
+				return &parser.FunctionExpr{
+					Name:   functionName,
+					Params: params,
+				}, true, nil
+			}
+		}
+	}
+
+	// If we couldn't transform it to an EXISTS check, keep the original
+	return expr, false, nil
+}

pkg/variables/clickhouse/transfor_test.go

@@ -0,0 +1,210 @@
+package clickhouse
+
+import (
+	"testing"
+)
+
+func TestTransform(t *testing.T) {
+
+	testCases := []struct {
+		name      string
+		sql       string
+		variables []VariableValue
+		expected  string
+	}{
+		{
+			name: "Example 1: Only service_name is __all__",
+			sql: `SELECT trace_id, name, kind, status 
+FROM signoz_traces.signoz_index_v3
+WHERE service_name = $service_name
+  AND operation_name IN ($operation_names)
+  AND duration >= $min_duration
+  AND attributes['http.method'] = $http_method
+  AND op IN (SELECT op FROM signoz_traces.operations WHERE service_name = $service_name AND kind = 'server')
+  AND timestamp BETWEEN $start_time AND $end_time`,
+
+			// Define our variables and their values/metadata
+			variables: []VariableValue{
+				{
+					Name:        "service_name",
+					Values:      []string{"__all__"}, // User selected "__all__"
+					IsSelectAll: true,
+					FieldType:   "scalar",
+				},
+				{
+					Name:        "operation_names",
+					Values:      []string{"op1", "op2", "op3"},
+					IsSelectAll: false, // User selected specific values
+					FieldType:   "array",
+				},
+				{
+					Name:        "min_duration",
+					Values:      []string{"100"},
+					IsSelectAll: false,
+					FieldType:   "scalar",
+				},
+				{
+					Name:        "http_method",
+					Values:      []string{"GET", "POST"},
+					IsSelectAll: false,
+					FieldType:   "map", // This is a map lookup
+				},
+				{
+					Name:        "start_time",
+					Values:      []string{"2023-01-01 00:00:00"},
+					IsSelectAll: false,
+					FieldType:   "scalar",
+				},
+				{
+					Name:        "end_time",
+					Values:      []string{"2023-01-02 00:00:00"},
+					IsSelectAll: false,
+					FieldType:   "scalar",
+				},
+			},
+			expected: `SELECT trace_id, name, kind, status FROM signoz_traces.signoz_index_v3 WHERE operation_name IN ($operation_names) AND duration >= $min_duration AND attributes['http.method'] = $http_method AND op IN (SELECT op FROM signoz_traces.operations WHERE kind = 'server') AND timestamp BETWEEN $start_time AND $end_time;`,
+		},
+		{
+			name: "Example 2: Multiple __all__ selections and map lookups",
+			sql: `SELECT trace_id, name, kind, status 
+FROM signoz_traces.signoz_index_v3
+WHERE service_name = $service_name
+  AND operation_name IN ($operation_names)
+  AND duration >= $min_duration
+  AND attributes['http.method'] = $http_method
+  AND op IN (SELECT op FROM signoz_traces.operations WHERE service_name = $service_name AND kind = 'server')
+  AND timestamp BETWEEN $start_time AND $end_time`,
+
+			variables: []VariableValue{
+				{
+					Name:        "service_name",
+					Values:      []string{"__all__"},
+					IsSelectAll: true,
+					FieldType:   "scalar",
+				},
+				{
+					Name:        "operation_names",
+					Values:      []string{"__all__"},
+					IsSelectAll: true,
+					FieldType:   "array",
+				},
+				{
+					Name:        "min_duration",
+					Values:      []string{"__all__"},
+					IsSelectAll: true,
+					FieldType:   "scalar",
+				},
+				{
+					Name:        "http_method",
+					Values:      []string{"GET", "POST"},
+					IsSelectAll: false,
+					FieldType:   "map",
+				},
+				{
+					Name:        "start_time",
+					Values:      []string{"__all__"},
+					IsSelectAll: true,
+					FieldType:   "scalar",
+				},
+				{
+					Name:        "end_time",
+					Values:      []string{"__all__"},
+					IsSelectAll: true,
+					FieldType:   "scalar",
+				},
+			},
+			expected: `SELECT trace_id, name, kind, status FROM signoz_traces.signoz_index_v3 WHERE attributes['http.method'] = $http_method AND op IN (SELECT op FROM signoz_traces.operations WHERE kind = 'server') AND timestamp BETWEEN $start_time AND $end_time;`,
+		},
+		{
+			name: "Example 3: Multiple __all__ selections and map lookups",
+			sql: `SELECT trace_id, name, kind, status 
+FROM signoz_traces.signoz_index_v3
+WHERE service_name = $service_name 
+  AND operation_name IN ($operation_names)
+  AND duration >= $min_duration
+  AND attributes['http.method'] = $http_method
+  AND op IN (SELECT op FROM signoz_traces.operations WHERE service_name = $service_name AND kind = 'server')
+  AND timestamp BETWEEN $start_time AND $end_time`,
+
+			variables: []VariableValue{
+				{
+					Name:        "service_name",
+					Values:      []string{"__all__"},
+					IsSelectAll: true,
+					FieldType:   "scalar",
+				},
+				{
+					Name:        "operation_names",
+					Values:      []string{"__all__"},
+					IsSelectAll: true,
+					FieldType:   "array",
+				},
+				{
+					Name:        "min_duration",
+					Values:      []string{"__all__"},
+					IsSelectAll: true,
+					FieldType:   "scalar",
+				},
+				{
+					Name:        "http_method",
+					Values:      []string{"__all__"},
+					IsSelectAll: true,
+					FieldType:   "map",
+				},
+			},
+			expected: `SELECT trace_id, name, kind, status FROM signoz_traces.signoz_index_v3 WHERE op IN (SELECT op FROM signoz_traces.operations WHERE kind = 'server') AND timestamp BETWEEN $start_time AND $end_time;`,
+		},
+		{
+			name: "Example 3: Multiple __all__ selections and map lookups",
+			sql: `SELECT trace_id, name, kind, status 
+FROM signoz_traces.signoz_index_v3
+WHERE service_name = {{service_name}} 
+  AND operation_name IN {{.operation_names}}
+  AND duration >= {{min_duration}}
+  AND attributes['http.method'] = $http_method
+  AND op IN (SELECT op FROM signoz_traces.operations WHERE service_name = {{service_name}} AND kind = 'server')`,
+
+			variables: []VariableValue{
+				{
+					Name:        "service_name",
+					Values:      []string{"__all__"},
+					IsSelectAll: true,
+					FieldType:   "scalar",
+				},
+				{
+					Name:        "operation_names",
+					Values:      []string{"__all__"},
+					IsSelectAll: true,
+					FieldType:   "array",
+				},
+				{
+					Name:        "min_duration",
+					Values:      []string{"__all__"},
+					IsSelectAll: true,
+					FieldType:   "scalar",
+				},
+				{
+					Name:        "http_method",
+					Values:      []string{"__all__"},
+					IsSelectAll: true,
+					FieldType:   "map",
+				},
+			},
+			expected: `SELECT trace_id, name, kind, status FROM signoz_traces.signoz_index_v3 WHERE op IN (SELECT op FROM signoz_traces.operations WHERE kind = 'server');`,
+		},
+	}
+
+	for _, testCase := range testCases {
+		t.Run(testCase.name, func(t *testing.T) {
+			transformer := NewQueryTransformer(testCase.sql, testCase.variables)
+			modifiedQuery, err := transformer.Transform()
+			if err != nil {
+				t.Fatalf("Error transforming query: %v", err)
+			}
+
+			if modifiedQuery != testCase.expected {
+				t.Errorf("Expected transformed query to be:\n%s\nBut got:\n%s", testCase.expected, modifiedQuery)
+			}
+		})
+	}
+}

pkg/variables/clickhouse/transform.go

@@ -0,0 +1,74 @@
+package clickhouse
+
+import (
+	"fmt"
+	"strings"
+
+	"github.com/AfterShip/clickhouse-sql-parser/parser"
+)
+
+// VariableValue represents a variable's assigned value
+type VariableValue struct {
+	Name        string
+	Values      []string
+	IsSelectAll bool
+	FieldType   string // "scalar", "array", "map", etc.
+}
+
+// QueryTransformer handles the transformation of queries based on variable values
+type QueryTransformer struct {
+	processor   *QueryProcessor
+	variables   map[string]VariableValue
+	originalSQL string
+}
+
+// NewQueryTransformer creates a new transformer with the given SQL and variables
+func NewQueryTransformer(sql string, variables []VariableValue) *QueryTransformer {
+	varMap := make(map[string]VariableValue)
+	for _, v := range variables {
+		varMap[v.Name] = v
+	}
+
+	// for each variable, replace the `{{variable_name}}`, [[variable_name]], {{ .variable_name }}, {{.variable_name}}
+	// with $variable_name
+	for name := range varMap {
+		sql = strings.Replace(sql, fmt.Sprintf("{{%s}}", name), fmt.Sprintf("$%s", name), -1)
+		sql = strings.Replace(sql, fmt.Sprintf("[[%s]]", name), fmt.Sprintf("$%s", name), -1)
+		sql = strings.Replace(sql, fmt.Sprintf("{{ .%s }}", name), fmt.Sprintf("$%s", name), -1)
+		sql = strings.Replace(sql, fmt.Sprintf("{{.%s}}", name), fmt.Sprintf("$%s", name), -1)
+	}
+
+	return &QueryTransformer{
+		processor:   NewQueryProcessor(),
+		variables:   varMap,
+		originalSQL: sql,
+	}
+}
+
+// Transform processes the query and returns a transformed version
+func (t *QueryTransformer) Transform() (string, error) {
+	return t.processor.ProcessQuery(t.originalSQL, t.transformFilter)
+}
+
+// transformFilter is the callback function that decides what to do with each filter
+func (t *QueryTransformer) transformFilter(variableName string, expr parser.Expr) FilterAction {
+	// Check if we have info about this variable
+	varInfo, exists := t.variables[variableName]
+	if !exists {
+		// If we don't have info, keep the filter as is
+		return KeepFilter
+	}
+
+	// If the user selected "__all__", we should remove the filter
+	if varInfo.IsSelectAll {
+		return RemoveFilter
+	}
+
+	// For maps, we might want to check for existence rather than equality
+	if varInfo.FieldType == "map" {
+		return ReplaceWithExistsCheck
+	}
+
+	// Otherwise keep the filter as is (it will be filled with the actual values)
+	return KeepFilter
+}