chore(pagination): style updates

.github/workflows/integrationci.yaml

@@ -44,7 +44,6 @@ jobs:
           - cloudintegrations
           - dashboard
           - ingestionkeys
-          - inframonitoring
           - logspipelines
           - passwordauthn
           - preference

docs/api/openapi.yml

@@ -1360,8 +1360,6 @@ components:
       - sqs
       - storageaccountsblob
       - cdnprofile
-      - containerapp
-      - aks
       type: string
     CloudintegrationtypesServiceMetadata:
       properties:
@@ -6724,6 +6722,11 @@ components:
       type: object
     SpantypesGettableWaterfallTrace:
       properties:
+        aggregations:
+          items:
+            $ref: '#/components/schemas/SpantypesSpanAggregationResult'
+          nullable: true
+          type: array
         endTimestampMillis:
           minimum: 0
           type: integer
@@ -6811,6 +6814,14 @@ components:
       type: object
     SpantypesPostableWaterfall:
       properties:
+        aggregations:
+          items:
+            $ref: '#/components/schemas/SpantypesSpanAggregation'
+          nullable: true
+          type: array
+        limit:
+          minimum: 0
+          type: integer
         selectedSpanId:
           type: string
         uncollapsedSpans:
@@ -20666,6 +20677,76 @@ paths:
       summary: Get flamegraph view for a trace
       tags:
       - tracedetail
+  /api/v3/traces/{traceID}/waterfall:
+    post:
+      deprecated: false
+      description: Returns the waterfall view of spans for a given trace ID with tree
+        structure, metadata, and windowed pagination
+      operationId: GetWaterfall
+      parameters:
+      - in: path
+        name: traceID
+        required: true
+        schema:
+          type: string
+      requestBody:
+        content:
+          application/json:
+            schema:
+              $ref: '#/components/schemas/SpantypesPostableWaterfall'
+      responses:
+        "200":
+          content:
+            application/json:
+              schema:
+                properties:
+                  data:
+                    $ref: '#/components/schemas/SpantypesGettableWaterfallTrace'
+                  status:
+                    type: string
+                required:
+                - status
+                - data
+                type: object
+          description: OK
+        "400":
+          content:
+            application/json:
+              schema:
+                $ref: '#/components/schemas/RenderErrorResponse'
+          description: Bad Request
+        "401":
+          content:
+            application/json:
+              schema:
+                $ref: '#/components/schemas/RenderErrorResponse'
+          description: Unauthorized
+        "403":
+          content:
+            application/json:
+              schema:
+                $ref: '#/components/schemas/RenderErrorResponse'
+          description: Forbidden
+        "404":
+          content:
+            application/json:
+              schema:
+                $ref: '#/components/schemas/RenderErrorResponse'
+          description: Not Found
+        "500":
+          content:
+            application/json:
+              schema:
+                $ref: '#/components/schemas/RenderErrorResponse'
+          description: Internal Server Error
+      security:
+      - api_key:
+        - VIEWER
+      - tokenizer:
+        - VIEWER
+      summary: Get waterfall view for a trace
+      tags:
+      - tracedetail
   /api/v4/traces/{traceID}/waterfall:
     post:
       deprecated: false

frontend/jest.setup.ts

@@ -41,15 +41,6 @@ if (typeof window.IntersectionObserver === 'undefined') {
 	(window as any).IntersectionObserver = IntersectionObserverMock;
 }
 
-if (typeof window.ResizeObserver === 'undefined') {
-	class ResizeObserverMock {
-		observe(): void {}
-		unobserve(): void {}
-		disconnect(): void {}
-	}
-	(window as any).ResizeObserver = ResizeObserverMock;
-}
-
 // Patch getComputedStyle to handle CSS parsing errors from @signozhq/* packages.
 // These packages inject CSS at import time via style-inject / vite-plugin-css-injected-by-js.
 // jsdom's nwsapi cannot parse some of the injected selectors (e.g. Tailwind's :animate-in),

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

@@ -2651,8 +2651,6 @@ export enum CloudintegrationtypesServiceIDDTO {
 	sqs = 'sqs',
 	storageaccountsblob = 'storageaccountsblob',
 	cdnprofile = 'cdnprofile',
-	containerapp = 'containerapp',
-	aks = 'aks',
 }
 export type CloudintegrationtypesCloudIntegrationServiceDTOAnyOf = {
 	/**
@@ -8093,6 +8091,10 @@ export interface SpantypesWaterfallSpanDTO {
 }
 
 export interface SpantypesGettableWaterfallTraceDTO {
+	/**
+	 * @type array,null
+	 */
+	aggregations?: SpantypesSpanAggregationResultDTO[] | null;
 	/**
 	 * @type integer
 	 * @minimum 0
@@ -8212,6 +8214,15 @@ export interface SpantypesPostableTraceAggregationsDTO {
 }
 
 export interface SpantypesPostableWaterfallDTO {
+	/**
+	 * @type array,null
+	 */
+	aggregations?: SpantypesSpanAggregationDTO[] | null;
+	/**
+	 * @type integer
+	 * @minimum 0
+	 */
+	limit?: number;
 	/**
 	 * @type string
 	 */
@@ -10506,6 +10517,17 @@ export type GetFlamegraph200 = {
 	status: string;
 };
 
+export type GetWaterfallPathParameters = {
+	traceID: string;
+};
+export type GetWaterfall200 = {
+	data: SpantypesGettableWaterfallTraceDTO;
+	/**
+	 * @type string
+	 */
+	status: string;
+};
+
 export type GetWaterfallV4PathParameters = {
 	traceID: string;
 };

frontend/src/api/generated/services/tracedetail/index.ts

@@ -16,6 +16,8 @@ import type {
 	GetFlamegraphPathParameters,
 	GetTraceAggregations200,
 	GetTraceAggregationsPathParameters,
+	GetWaterfall200,
+	GetWaterfallPathParameters,
 	GetWaterfallV4200,
 	GetWaterfallV4PathParameters,
 	RenderErrorResponseDTO,
@@ -226,6 +228,105 @@ export const useGetFlamegraph = <
 > => {
 	return useMutation(getGetFlamegraphMutationOptions(options));
 };
+/**
+ * Returns the waterfall view of spans for a given trace ID with tree structure, metadata, and windowed pagination
+ * @summary Get waterfall view for a trace
+ */
+export const getWaterfall = (
+	{ traceID }: GetWaterfallPathParameters,
+	spantypesPostableWaterfallDTO?: BodyType<SpantypesPostableWaterfallDTO>,
+	signal?: AbortSignal,
+) => {
+	return GeneratedAPIInstance<GetWaterfall200>({
+		url: `/api/v3/traces/${traceID}/waterfall`,
+		method: 'POST',
+		headers: { 'Content-Type': 'application/json' },
+		data: spantypesPostableWaterfallDTO,
+		signal,
+	});
+};
+
+export const getGetWaterfallMutationOptions = <
+	TError = ErrorType<RenderErrorResponseDTO>,
+	TContext = unknown,
+>(options?: {
+	mutation?: UseMutationOptions<
+		Awaited<ReturnType<typeof getWaterfall>>,
+		TError,
+		{
+			pathParams: GetWaterfallPathParameters;
+			data?: BodyType<SpantypesPostableWaterfallDTO>;
+		},
+		TContext
+	>;
+}): UseMutationOptions<
+	Awaited<ReturnType<typeof getWaterfall>>,
+	TError,
+	{
+		pathParams: GetWaterfallPathParameters;
+		data?: BodyType<SpantypesPostableWaterfallDTO>;
+	},
+	TContext
+> => {
+	const mutationKey = ['getWaterfall'];
+	const { mutation: mutationOptions } = options
+		? options.mutation &&
+			'mutationKey' in options.mutation &&
+			options.mutation.mutationKey
+			? options
+			: { ...options, mutation: { ...options.mutation, mutationKey } }
+		: { mutation: { mutationKey } };
+
+	const mutationFn: MutationFunction<
+		Awaited<ReturnType<typeof getWaterfall>>,
+		{
+			pathParams: GetWaterfallPathParameters;
+			data?: BodyType<SpantypesPostableWaterfallDTO>;
+		}
+	> = (props) => {
+		const { pathParams, data } = props ?? {};
+
+		return getWaterfall(pathParams, data);
+	};
+
+	return { mutationFn, ...mutationOptions };
+};
+
+export type GetWaterfallMutationResult = NonNullable<
+	Awaited<ReturnType<typeof getWaterfall>>
+>;
+export type GetWaterfallMutationBody =
+	| BodyType<SpantypesPostableWaterfallDTO>
+	| undefined;
+export type GetWaterfallMutationError = ErrorType<RenderErrorResponseDTO>;
+
+/**
+ * @summary Get waterfall view for a trace
+ */
+export const useGetWaterfall = <
+	TError = ErrorType<RenderErrorResponseDTO>,
+	TContext = unknown,
+>(options?: {
+	mutation?: UseMutationOptions<
+		Awaited<ReturnType<typeof getWaterfall>>,
+		TError,
+		{
+			pathParams: GetWaterfallPathParameters;
+			data?: BodyType<SpantypesPostableWaterfallDTO>;
+		},
+		TContext
+	>;
+}): UseMutationResult<
+	Awaited<ReturnType<typeof getWaterfall>>,
+	TError,
+	{
+		pathParams: GetWaterfallPathParameters;
+		data?: BodyType<SpantypesPostableWaterfallDTO>;
+	},
+	TContext
+> => {
+	return useMutation(getGetWaterfallMutationOptions(options));
+};
 /**
  * Returns the waterfall view of spans including all spans if total spans are under a limit, a max count otherwise. Aggregations are dropped compared to v3
  * @summary Get waterfall view for a trace

frontend/src/api/trace/getTraceV4.tsx

@@ -27,6 +27,7 @@ const getTraceV4 = async (
 		{
 			selectedSpanId: props.selectedSpanId,
 			uncollapsedSpans,
+			limit: 10000,
 		},
 	);
 

frontend/src/components/ServiceAccountDrawer/ServiceAccountDrawer.styles.scss

@@ -110,6 +110,10 @@
 		}
 	}
 
+	[data-slot='drawer-footer']:has(.sa-drawer__keys-pagination) {
+		--dialog-footer-padding: 0 var(--spacing-8);
+	}
+
 	&__footer {
 		flex-shrink: 0;
 		display: flex;
@@ -123,11 +127,14 @@
 		align-items: center;
 		justify-content: flex-end;
 		width: 100%;
-		padding: var(--padding-2) 0;
+		min-height: var(--padding-10);
+	}
 
-		.ant-pagination-total-text {
-			margin-right: auto;
-		}
+	&__pagination-count {
+		display: flex;
+		align-items: center;
+		gap: var(--spacing-2);
+		margin-right: auto;
 	}
 
 	&__pagination-range {

frontend/src/components/ServiceAccountDrawer/ServiceAccountDrawer.tsx

@@ -5,7 +5,8 @@ import { Button } from '@signozhq/ui/button';
 import { DrawerWrapper } from '@signozhq/ui/drawer';
 import { toast } from '@signozhq/ui/sonner';
 import { ToggleGroupSimple } from '@signozhq/ui/toggle-group';
-import { Pagination, Skeleton } from 'antd';
+import { Skeleton } from 'antd';
+import { Pagination } from '@signozhq/ui/pagination';
 import { convertToApiError } from 'api/ErrorResponseHandlerForGeneratedAPIs';
 import {
 	getListServiceAccountsQueryKey,
@@ -208,15 +209,17 @@ function ServiceAccountDrawer({
 	);
 	const keys = keysData?.data ?? [];
 
+	const keysMaxPage = Math.max(1, Math.ceil(keys.length / PAGE_SIZE));
+	const effectiveKeysPage = Math.min(keysPage, keysMaxPage);
+
 	useEffect(() => {
 		if (keysLoading) {
 			return;
 		}
-		const maxPage = Math.max(1, Math.ceil(keys.length / PAGE_SIZE));
-		if (keysPage > maxPage) {
-			void setKeysPage(maxPage);
+		if (keysPage > keysMaxPage) {
+			void setKeysPage(keysMaxPage);
 		}
-	}, [keysLoading, keys.length, keysPage, setKeysPage]);
+	}, [keysLoading, keysMaxPage, keysPage, setKeysPage]);
 
 	// the retry for this mutation is safe due to the api being idempotent on backend
 	const { mutateAsync: updateMutateAsync } = useUpdateServiceAccount();
@@ -513,7 +516,7 @@ function ServiceAccountDrawer({
 											isDisabled={isDeleted}
 											canUpdate={canUpdate}
 											accountId={selectedAccountId}
-											currentPage={keysPage}
+											currentPage={effectiveKeysPage}
 											pageSize={PAGE_SIZE}
 										/>
 									) : (
@@ -529,25 +532,25 @@ function ServiceAccountDrawer({
 	const footer = (
 		<div className="sa-drawer__footer">
 			{activeTab === ServiceAccountDrawerTab.Keys ? (
-				<Pagination
-					current={keysPage}
-					pageSize={PAGE_SIZE}
-					total={keys.length}
-					showTotal={(total: number, range: number[]): JSX.Element => (
-						<>
+				<div className="sa-drawer__keys-pagination">
+					{keys.length > 0 && (
+						<div className="sa-drawer__pagination-count">
 							<span className="sa-drawer__pagination-range">
-								{range[0]} &#8212; {range[1]}
+								{(effectiveKeysPage - 1) * PAGE_SIZE + 1} &#8212;{' '}
+								{Math.min(effectiveKeysPage * PAGE_SIZE, keys.length)}
 							</span>
-							<span className="sa-drawer__pagination-total"> of {total}</span>
-						</>
+							<span className="sa-drawer__pagination-total">of {keys.length}</span>
+						</div>
 					)}
-					showSizeChanger={false}
-					hideOnSinglePage
-					onChange={(page): void => {
-						void setKeysPage(page);
-					}}
-					className="sa-drawer__keys-pagination"
-				/>
+					<Pagination
+						current={effectiveKeysPage}
+						pageSize={PAGE_SIZE}
+						total={keys.length}
+						onPageChange={(page): void => {
+							void setKeysPage(page);
+						}}
+					/>
+				</div>
 			) : (
 				<>
 					{!isDeleted && (

frontend/src/components/ServiceAccountDrawer/__tests__/ServiceAccountDrawer.test.tsx

@@ -302,6 +302,58 @@ describe('ServiceAccountDrawer', () => {
 		await screen.findByText(/No keys/i);
 	});
 
+	it('Keys tab shows pagination count when keys exist', async () => {
+		const keys = [
+			{
+				id: 'k-1',
+				name: 'Key 1',
+				expiresAt: 0,
+				lastObservedAt: null as unknown as string,
+				serviceAccountId: 'sa-1',
+			},
+			{
+				id: 'k-2',
+				name: 'Key 2',
+				expiresAt: 0,
+				lastObservedAt: null as unknown as string,
+				serviceAccountId: 'sa-1',
+			},
+			{
+				id: 'k-3',
+				name: 'Key 3',
+				expiresAt: 0,
+				lastObservedAt: null as unknown as string,
+				serviceAccountId: 'sa-1',
+			},
+		];
+
+		server.use(
+			rest.get(SA_KEYS_ENDPOINT, (_, res, ctx) =>
+				res(ctx.status(200), ctx.json({ data: keys })),
+			),
+		);
+
+		const user = userEvent.setup({ pointerEventsCheck: 0 });
+		renderDrawer();
+
+		await screen.findByDisplayValue('CI Bot');
+		await user.click(screen.getByRole('radio', { name: /Keys/i }));
+		await screen.findByText('Key 1');
+
+		// PAGE_SIZE=15, 3 keys on page 1 → range "1 — 3", total "of 3"
+		const countEl = document.querySelector('.sa-drawer__pagination-count');
+		expect(countEl).toBeInTheDocument();
+		expect(
+			countEl?.querySelector('.sa-drawer__pagination-total')?.textContent,
+		).toBe('of 3');
+		expect(
+			countEl
+				?.querySelector('.sa-drawer__pagination-range')
+				?.textContent?.replace(/\s+/g, ' ')
+				.trim(),
+		).toBe('1 — 3');
+	});
+
 	it('shows error state when account fetch fails', async () => {
 		server.use(
 			rest.get(SA_ENDPOINT, (_, res, ctx) =>

frontend/src/container/DashboardContainer/visualization/charts/ChartWrapper/ChartWrapper.tsx

@@ -1,6 +1,6 @@
 import { useCallback, useMemo, useRef } from 'react';
 import ChartLayout from 'container/DashboardContainer/visualization/layout/ChartLayout/ChartLayout';
-import UPlotLegend from 'lib/uPlotV2/components/Legend/UPlotLegend';
+import Legend from 'lib/uPlotV2/components/Legend/Legend';
 import {
 	LegendPosition,
 	TooltipRenderArgs,
@@ -47,7 +47,7 @@ export default function ChartWrapper({
 				return null;
 			}
 			return (
-				<UPlotLegend
+				<Legend
 					config={config}
 					position={legendConfig.position}
 					averageLegendWidth={averageLegendWidth}

frontend/src/container/DashboardContainer/visualization/charts/Pie/Pie.module.scss

@@ -1,67 +0,0 @@
-.pieChartWrapper {
-	display: flex;
-	flex-direction: column;
-	height: 100%;
-	width: 100%;
-	overflow: hidden;
-}
-
-.pieChartNoData {
-	display: flex;
-	justify-content: center;
-	align-items: center;
-	width: 100%;
-	height: 100%;
-	font-size: 14px;
-}
-
-// Size is set inline from the computed chart dimensions (mirrors the uPlot
-// chart/legend split); this just centres the donut within that box.
-.pieChartContainer {
-	flex: 0 0 auto;
-	position: relative;
-	display: flex;
-	justify-content: center;
-	align-items: center;
-}
-
-.pieChartTooltip {
-	padding: 8px 12px;
-	border-radius: 4px;
-	box-shadow: 0 2px 10px rgba(0, 0, 0, 0.2);
-	background-color: var(--l2-background) !important;
-	border: 1px solid var(--l2-border) !important;
-	z-index: 9999;
-	display: flex;
-	align-items: center;
-	justify-content: center;
-}
-.pieChartTooltipContent {
-	display: flex;
-	align-items: center;
-	justify-content: center;
-	gap: 8px;
-}
-
-.pieChartIndicator {
-	width: 12px;
-	height: 12px;
-	border-radius: 2px;
-	margin-right: 8px;
-	display: inline-block;
-}
-
-.pieChartTooltipValue {
-	font-weight: bold;
-	margin-top: 4px;
-}
-
-// Wraps the shared chart Legend. Its width/height are set inline from the
-// computed chart dimensions, so the VirtuosoGrid inside gets the same bounded
-// box (right column / bottom rows) the uPlot charts use.
-.pieChartLegend {
-	flex: 0 0 auto;
-	min-height: 0;
-	min-width: 0;
-	padding: 8px;
-}

frontend/src/container/DashboardContainer/visualization/charts/Pie/Pie.tsx

@@ -1,235 +0,0 @@
-import { useCallback, useMemo, useRef } from 'react';
-import { Color } from '@signozhq/design-tokens';
-import { Group } from '@visx/group';
-import { Pie as VisxPie } from '@visx/shape';
-import { defaultStyles, useTooltip, useTooltipInPortal } from '@visx/tooltip';
-import { getYAxisFormattedValue } from 'components/Graph/yAxisConfig';
-import { useResizeObserver } from 'hooks/useDimensions';
-import Legend from 'lib/uPlotV2/components/Legend/Legend';
-import { LegendPosition } from 'lib/uPlotV2/components/types';
-
-import { PieChartProps, PieSlice } from '../types';
-import { calculateChartDimensions } from '../utils';
-
-import { usePieInteractions } from '../../hooks/usePieInteractions';
-import PieArc from './PieArc';
-import PieCenterLabel from './PieCenterLabel';
-import styles from './Pie.module.scss';
-import { PieTooltipData } from './types';
-import { getFillColor } from './utils';
-
-/**
- * Donut chart rendered with @visx. Splits its area into chart + legend with the
- * same `calculateChartDimensions` logic as the uPlot charts (right column /
- * up-to-two bottom rows), renders the shared chart Legend, and delegates the
- * arcs, centre total and interaction state to PieArc / PieCenterLabel /
- * usePieInteractions. Pure presentation — slices are pre-resolved by the caller.
- */
-export default function Pie({
-	data,
-	yAxisUnit,
-	decimalPrecision,
-	isDarkMode,
-	position = LegendPosition.BOTTOM,
-	id,
-	onSliceClick,
-	'data-testid': testId,
-}: PieChartProps): JSX.Element {
-	const {
-		active,
-		setActive,
-		visibleData,
-		legendItems,
-		focusedSeriesIndex,
-		onLegendClick,
-		onLegendMouseMove,
-		onLegendMouseLeave,
-	} = usePieInteractions(data, id);
-
-	const {
-		tooltipOpen,
-		tooltipLeft,
-		tooltipTop,
-		tooltipData,
-		hideTooltip,
-		showTooltip,
-	} = useTooltip<PieTooltipData>();
-
-	const { containerRef, TooltipInPortal } = useTooltipInPortal({
-		scroll: true,
-		detectBounds: true,
-	});
-
-	const wrapperRef = useRef<HTMLDivElement>(null);
-	const { width: containerWidth, height: containerHeight } =
-		useResizeObserver(wrapperRef);
-
-	// Reuse the uPlot chart/legend split so the donut + legend get the same area
-	// allocation (right column, or up-to-two bottom rows) as every other panel.
-	const { width, height, legendWidth, legendHeight, averageLegendWidth } =
-		useMemo(
-			() =>
-				calculateChartDimensions({
-					containerWidth,
-					containerHeight,
-					legendConfig: { position },
-					seriesLabels: data.map((slice) => slice.label),
-				}),
-			[containerWidth, containerHeight, position, data],
-		);
-
-	// Donut geometry derived from the allocated chart box.
-	const { size, radius, innerRadius } = useMemo(() => {
-		const nextSize = Math.min(width, height);
-		const nextRadius = nextSize * 0.35;
-		return {
-			size: nextSize,
-			radius: nextRadius,
-			innerRadius: nextRadius * 0.6,
-		};
-	}, [width, height]);
-
-	const totalValue = useMemo(
-		() => visibleData.reduce((sum, slice) => sum + slice.value, 0),
-		[visibleData],
-	);
-
-	const labelColor = isDarkMode ? Color.BG_VANILLA_100 : Color.BG_INK_400;
-	const activeColor = active?.color ?? null;
-
-	const handleSliceEnter = useCallback(
-		(slice: PieSlice, centroidX: number, centroidY: number): void => {
-			showTooltip({
-				tooltipData: {
-					label: slice.label,
-					value: getYAxisFormattedValue(
-						slice.value.toString(),
-						yAxisUnit || 'none',
-						decimalPrecision,
-					),
-					color: slice.color,
-				},
-				tooltipTop: centroidY + height / 2,
-				tooltipLeft: centroidX + width / 2,
-			});
-			setActive(slice);
-		},
-		[showTooltip, setActive, yAxisUnit, decimalPrecision, height, width],
-	);
-
-	const handleSliceLeave = useCallback((): void => {
-		hideTooltip();
-		setActive(null);
-	}, [hideTooltip, setActive]);
-
-	if (!data.length) {
-		return (
-			<div
-				ref={wrapperRef}
-				className={styles.pieChartWrapper}
-				data-testid={testId}
-			>
-				<div className={styles.pieChartNoData}>No data</div>
-			</div>
-		);
-	}
-
-	const isRightLegend = position === LegendPosition.RIGHT;
-
-	return (
-		<div
-			ref={wrapperRef}
-			className={styles.pieChartWrapper}
-			style={{ flexDirection: isRightLegend ? 'row' : 'column' }}
-			data-testid={testId}
-		>
-			<div className={styles.pieChartContainer} style={{ width, height }}>
-				{size > 0 && (
-					<svg width={width} height={height} ref={containerRef}>
-						<Group top={height / 2} left={width / 2}>
-							<VisxPie
-								data={visibleData}
-								pieValue={(slice: PieSlice): number => slice.value}
-								outerRadius={radius}
-								innerRadius={innerRadius}
-								padAngle={0.01}
-								cornerRadius={3}
-								width={size}
-								height={size}
-							>
-								{(pie): JSX.Element[] =>
-									pie.arcs.map((arc) => (
-										<PieArc
-											key={`arc-${arc.data.label}-${arc.data.value}-${arc.startAngle.toFixed(
-												6,
-											)}`}
-											slice={arc.data}
-											arcPath={pie.path(arc) || ''}
-											centroid={pie.path.centroid(arc)}
-											startAngle={arc.startAngle}
-											endAngle={arc.endAngle}
-											radius={radius}
-											totalValue={totalValue}
-											yAxisUnit={yAxisUnit}
-											decimalPrecision={decimalPrecision}
-											labelColor={labelColor}
-											fill={getFillColor(arc.data.color, activeColor)}
-											onEnter={handleSliceEnter}
-											onLeave={handleSliceLeave}
-											onClick={onSliceClick}
-										/>
-									))
-								}
-							</VisxPie>
-							<PieCenterLabel
-								total={totalValue}
-								yAxisUnit={yAxisUnit}
-								decimalPrecision={decimalPrecision}
-								radius={radius}
-								innerRadius={innerRadius}
-								color={labelColor}
-							/>
-						</Group>
-					</svg>
-				)}
-				{tooltipOpen && tooltipData && (
-					<TooltipInPortal
-						top={tooltipTop}
-						left={tooltipLeft}
-						className={styles.pieChartTooltip}
-						style={{
-							...defaultStyles,
-							color: labelColor,
-						}}
-					>
-						<div
-							className={styles.pieChartIndicator}
-							style={{ background: tooltipData.color }}
-						/>
-						<div className={styles.pieChartTooltipContent}>
-							<span>{tooltipData.label}</span>
-							<span className={styles.pieChartTooltipValue}>{tooltipData.value}</span>
-						</div>
-					</TooltipInPortal>
-				)}
-			</div>
-			<div
-				className={styles.pieChartLegend}
-				style={{
-					width: legendWidth,
-					height: legendHeight,
-				}}
-			>
-				<Legend
-					items={legendItems}
-					position={position}
-					averageLegendWidth={averageLegendWidth}
-					focusedSeriesIndex={focusedSeriesIndex}
-					onClick={onLegendClick}
-					onMouseMove={onLegendMouseMove}
-					onMouseLeave={onLegendMouseLeave}
-				/>
-			</div>
-		</div>
-	);
-}

frontend/src/container/DashboardContainer/visualization/charts/Pie/PieArc.tsx

@@ -1,123 +0,0 @@
-import type { PrecisionOption } from 'components/Graph/types';
-import { getYAxisFormattedValue } from 'components/Graph/yAxisConfig';
-
-import { PieSlice } from '../types';
-
-import { getArcGeometry } from './utils';
-
-// Slices below this share of the total don't get a leader label (too cramped).
-const MIN_LABEL_SHARE = 0.03;
-const MAX_LABEL_LENGTH = 15;
-
-interface PieArcProps {
-	slice: PieSlice;
-	/** SVG path `d` for the arc, from the visx pie generator. */
-	arcPath: string;
-	/** Arc centroid `[x, y]`, used to anchor the leader line and tooltip. */
-	centroid: [number, number];
-	startAngle: number;
-	endAngle: number;
-	radius: number;
-	/** Sum of visible slice values — drives the show-label threshold. */
-	totalValue: number;
-	yAxisUnit?: string;
-	decimalPrecision?: PrecisionOption;
-	labelColor: string;
-	/** Resolved fill (already dimmed if another slice is active). */
-	fill: string;
-	onEnter: (slice: PieSlice, centroidX: number, centroidY: number) => void;
-	onLeave: () => void;
-	onClick?: (slice: PieSlice) => void;
-}
-
-/**
- * A single donut slice: the arc path plus, for non-tiny slices, a leader line
- * out to an external label + value. Pure presentation — interaction is
- * delegated to the `onEnter`/`onLeave`/`onClick` callbacks.
- */
-export default function PieArc({
-	slice,
-	arcPath,
-	centroid,
-	startAngle,
-	endAngle,
-	radius,
-	totalValue,
-	yAxisUnit,
-	decimalPrecision,
-	labelColor,
-	fill,
-	onEnter,
-	onLeave,
-	onClick,
-}: PieArcProps): JSX.Element {
-	const { label, value } = slice;
-	const [centroidX, centroidY] = centroid;
-	const { labelX, labelY, lineEndX, lineEndY, textAnchor } = getArcGeometry(
-		startAngle,
-		endAngle,
-		radius,
-	);
-
-	const displayValue = getYAxisFormattedValue(
-		value.toString(),
-		yAxisUnit || 'none',
-		decimalPrecision,
-	);
-	const shortenedLabel =
-		label.length > MAX_LABEL_LENGTH ? `${label.substring(0, 12)}...` : label;
-	const shouldShowLabel = value / totalValue > MIN_LABEL_SHARE;
-
-	return (
-		<g
-			onMouseEnter={(): void => onEnter(slice, centroidX, centroidY)}
-			onMouseLeave={onLeave}
-			onClick={(): void => onClick?.(slice)}
-		>
-			<path d={arcPath} fill={fill} />
-			{shouldShowLabel && (
-				<>
-					<line
-						x1={centroidX}
-						y1={centroidY}
-						x2={lineEndX}
-						y2={lineEndY}
-						stroke={labelColor}
-						strokeWidth={1}
-					/>
-					<line
-						x1={lineEndX}
-						y1={lineEndY}
-						x2={labelX}
-						y2={labelY}
-						stroke={labelColor}
-						strokeWidth={1}
-					/>
-					<text
-						x={labelX}
-						y={labelY - 8}
-						dy=".33em"
-						fill={labelColor}
-						fontSize={10}
-						textAnchor={textAnchor}
-						pointerEvents="none"
-					>
-						{shortenedLabel}
-					</text>
-					<text
-						x={labelX}
-						y={labelY + 8}
-						dy=".33em"
-						fill={labelColor}
-						fontSize={10}
-						fontWeight="bold"
-						textAnchor={textAnchor}
-						pointerEvents="none"
-					>
-						{displayValue}
-					</text>
-				</>
-			)}
-		</g>
-	);
-}

frontend/src/container/DashboardContainer/visualization/charts/Pie/PieCenterLabel.tsx

@@ -1,57 +0,0 @@
-import type { PrecisionOption } from 'components/Graph/types';
-import { getYAxisFormattedValue } from 'components/Graph/yAxisConfig';
-
-import { getScaledFontSize } from './utils';
-
-interface PieCenterLabelProps {
-	/** Sum of the visible slice values, shown in the donut hole. */
-	total: number;
-	yAxisUnit?: string;
-	decimalPrecision?: PrecisionOption;
-	radius: number;
-	innerRadius: number;
-	color: string;
-}
-
-/**
- * The total shown in the centre of the donut. Splits the formatted value into
- * its numeric part and unit so each can be sized independently, and scales the
- * numeric font down for long values so it never overflows the hole.
- */
-export default function PieCenterLabel({
-	total,
-	yAxisUnit,
-	decimalPrecision,
-	radius,
-	innerRadius,
-	color,
-}: PieCenterLabelProps): JSX.Element {
-	const formattedTotal = getYAxisFormattedValue(
-		total.toString(),
-		yAxisUnit || 'none',
-		decimalPrecision,
-	);
-	const matches = formattedTotal.match(/([\d.]+[KMB]?)(.*)$/);
-	const numericTotal = matches?.[1] || formattedTotal;
-	const unitTotal = matches?.[2]?.trim() || '';
-
-	const numericFontSize = getScaledFontSize({
-		text: numericTotal,
-		baseSize: radius * 0.3,
-		innerRadius,
-	});
-	const unitFontSize = numericFontSize * 0.5;
-
-	return (
-		<text textAnchor="middle" dominantBaseline="central" fill={color}>
-			<tspan fontSize={numericFontSize} fontWeight="bold">
-				{numericTotal}
-			</tspan>
-			{unitTotal && (
-				<tspan fontSize={unitFontSize} opacity={0.9} dx={2}>
-					{unitTotal}
-				</tspan>
-			)}
-		</text>
-	);
-}

frontend/src/container/DashboardContainer/visualization/charts/Pie/__tests__/Pie.test.tsx

@@ -1,116 +0,0 @@
-import React from 'react';
-import { fireEvent, render, screen, within } from '@testing-library/react';
-import { TooltipProvider } from '@signozhq/ui/tooltip';
-import { LegendPosition } from 'lib/uPlotV2/components/types';
-import { LegendItem } from 'lib/uPlotV2/config/types';
-
-import { PieSlice } from '../../types';
-import Pie from '../Pie';
-
-jest.mock('hooks/useDimensions', () => ({
-	useResizeObserver: jest.fn().mockReturnValue({ width: 400, height: 300 }),
-}));
-
-jest.mock('components/Graph/yAxisConfig', () => ({
-	getYAxisFormattedValue: jest.fn((value: string) => value),
-}));
-
-// VirtuosoGrid only renders a window in jsdom; render every item so we can
-// assert on legend entries.
-jest.mock('react-virtuoso', () => ({
-	VirtuosoGrid: ({
-		data,
-		itemContent,
-	}: {
-		data: LegendItem[];
-		itemContent: (index: number, item: LegendItem) => React.ReactNode;
-	}): JSX.Element => (
-		<div data-testid="virtuoso-grid">
-			{data.map((item, index) => (
-				<div key={item.seriesIndex ?? index}>{itemContent(index, item)}</div>
-			))}
-		</div>
-	),
-}));
-
-const DATA: PieSlice[] = [
-	{ label: 'frontend', value: 100, color: '#aa0000' },
-	{ label: 'cart', value: 60, color: '#00aa00' },
-	{ label: 'checkout', value: 40, color: '#0000aa' },
-];
-
-function renderPie(
-	props: Partial<React.ComponentProps<typeof Pie>> = {},
-): void {
-	render(
-		<TooltipProvider>
-			<Pie data={DATA} isDarkMode={false} data-testid="pie" {...props} />
-		</TooltipProvider>,
-	);
-}
-
-describe('Pie', () => {
-	it('renders the "No data" state for empty data', () => {
-		render(
-			<TooltipProvider>
-				<Pie data={[]} isDarkMode={false} data-testid="pie" />
-			</TooltipProvider>,
-		);
-		expect(screen.getByText('No data')).toBeInTheDocument();
-	});
-
-	it('renders one arc per slice plus the legend entries and centre total', () => {
-		renderPie();
-
-		const svg = screen.getByTestId('pie').querySelector('svg') as SVGElement;
-		expect(svg.querySelectorAll('path')).toHaveLength(DATA.length);
-
-		const legend = screen.getByTestId('virtuoso-grid');
-		expect(within(legend).getByText('frontend')).toBeInTheDocument();
-		expect(within(legend).getByText('cart')).toBeInTheDocument();
-		expect(within(legend).getByText('checkout')).toBeInTheDocument();
-
-		// Centre total = 100 + 60 + 40 (formatter mocked to echo the value).
-		expect(screen.getByText('200')).toBeInTheDocument();
-	});
-
-	it('lays the legend out in a row for the right position and a column for bottom', () => {
-		const { rerender } = render(
-			<TooltipProvider>
-				<Pie
-					data={DATA}
-					isDarkMode={false}
-					position={LegendPosition.RIGHT}
-					data-testid="pie"
-				/>
-			</TooltipProvider>,
-		);
-		expect(screen.getByTestId('pie')).toHaveStyle({ flexDirection: 'row' });
-
-		rerender(
-			<TooltipProvider>
-				<Pie
-					data={DATA}
-					isDarkMode={false}
-					position={LegendPosition.BOTTOM}
-					data-testid="pie"
-				/>
-			</TooltipProvider>,
-		);
-		expect(screen.getByTestId('pie')).toHaveStyle({ flexDirection: 'column' });
-	});
-
-	it('hides a slice when its legend marker is clicked', () => {
-		renderPie();
-		const svg = screen.getByTestId('pie').querySelector('svg') as SVGElement;
-		expect(svg.querySelectorAll('path')).toHaveLength(3);
-
-		const marker = document.querySelector(
-			'[data-legend-item-id="1"] [data-is-legend-marker="true"]',
-		) as HTMLElement;
-		fireEvent.click(marker);
-
-		// One slice hidden → one fewer arc drawn.
-		expect(svg.querySelectorAll('path')).toHaveLength(2);
-	});
-});

frontend/src/container/DashboardContainer/visualization/charts/Pie/__tests__/PieArc.test.tsx

@@ -1,85 +0,0 @@
-import { fireEvent, render, screen } from '@testing-library/react';
-
-import { PieSlice } from '../../types';
-import PieArc from '../PieArc';
-
-jest.mock('components/Graph/yAxisConfig', () => ({
-	// Echo the raw value so assertions are deterministic.
-	getYAxisFormattedValue: jest.fn((value: string) => value),
-}));
-
-const SLICE: PieSlice = { label: 'frontend', value: 50, color: '#f00' };
-
-function renderArc(props: Partial<React.ComponentProps<typeof PieArc>> = {}): {
-	onEnter: jest.Mock;
-	onLeave: jest.Mock;
-	onClick: jest.Mock;
-	container: HTMLElement;
-} {
-	const onEnter = jest.fn();
-	const onLeave = jest.fn();
-	const onClick = jest.fn();
-	const { container } = render(
-		<svg>
-			<PieArc
-				slice={SLICE}
-				arcPath="M0,0L1,1"
-				centroid={[10, 20]}
-				startAngle={0}
-				endAngle={Math.PI}
-				radius={100}
-				totalValue={100}
-				labelColor="#fff"
-				fill="#f00"
-				onEnter={onEnter}
-				onLeave={onLeave}
-				onClick={onClick}
-				{...props}
-			/>
-		</svg>,
-	);
-	return { onEnter, onLeave, onClick, container };
-}
-
-describe('PieArc', () => {
-	it('renders the arc path with the resolved fill', () => {
-		const { container } = renderArc();
-		const path = container.querySelector('path');
-		expect(path).toHaveAttribute('d', 'M0,0L1,1');
-		expect(path).toHaveAttribute('fill', '#f00');
-	});
-
-	it('shows the leader label + value for a slice above the threshold', () => {
-		renderArc(); // 50 / 100 = 0.5
-		expect(screen.getByText('frontend')).toBeInTheDocument();
-		expect(screen.getByText('50')).toBeInTheDocument();
-	});
-
-	it('hides the leader label for a slice below the 3% threshold', () => {
-		renderArc({ totalValue: 10000 }); // 50 / 10000 = 0.005
-		expect(screen.queryByText('frontend')).not.toBeInTheDocument();
-		// the arc path itself still renders
-		expect(screen.queryByText('50')).not.toBeInTheDocument();
-	});
-
-	it('truncates labels longer than 15 chars', () => {
-		renderArc({
-			slice: { label: 'a-really-long-service-name', value: 50, color: '#f00' },
-		});
-		expect(screen.getByText('a-really-lon...')).toBeInTheDocument();
-	});
-
-	it('fires onEnter with the slice + centroid, and onLeave / onClick', () => {
-		const { onEnter, onLeave, onClick, container } = renderArc();
-		const g = container.querySelector('g') as SVGGElement;
-
-		fireEvent.mouseEnter(g);
-		expect(onEnter).toHaveBeenCalledWith(SLICE, 10, 20);
-
-		fireEvent.mouseLeave(g);
-		expect(onLeave).toHaveBeenCalledTimes(1);
-
-		fireEvent.click(g);
-		expect(onClick).toHaveBeenCalledWith(SLICE);
-	});
-});

frontend/src/container/DashboardContainer/visualization/charts/Pie/__tests__/PieCenterLabel.test.tsx

@@ -1,45 +0,0 @@
-import { render, screen } from '@testing-library/react';
-import { getYAxisFormattedValue } from 'components/Graph/yAxisConfig';
-
-import PieCenterLabel from '../PieCenterLabel';
-
-jest.mock('components/Graph/yAxisConfig', () => ({
-	getYAxisFormattedValue: jest.fn(),
-}));
-
-const mockFormat = getYAxisFormattedValue as jest.MockedFunction<
-	typeof getYAxisFormattedValue
->;
-
-function renderInSvg(node: JSX.Element): ReturnType<typeof render> {
-	// PieCenterLabel returns an SVG <text>, so it needs an <svg> host.
-	return render(<svg>{node}</svg>);
-}
-
-describe('PieCenterLabel', () => {
-	const baseProps = {
-		total: 3700,
-		radius: 100,
-		innerRadius: 60,
-		color: '#fff',
-	};
-
-	it('renders the formatted total (numeric + unit suffix) as one numeric tspan when there is no separate unit', () => {
-		mockFormat.mockReturnValue('3.7K');
-		renderInSvg(<PieCenterLabel {...baseProps} />);
-		expect(screen.getByText('3.7K')).toBeInTheDocument();
-	});
-
-	it('splits the numeric part and the trailing unit into separate tspans', () => {
-		mockFormat.mockReturnValue('1.2 MB');
-		renderInSvg(<PieCenterLabel {...baseProps} />);
-		expect(screen.getByText('1.2')).toBeInTheDocument();
-		expect(screen.getByText('MB')).toBeInTheDocument();
-	});
-
-	it('passes the unit + precision through to the formatter', () => {
-		mockFormat.mockReturnValue('100');
-		renderInSvg(<PieCenterLabel {...baseProps} total={100} yAxisUnit="bytes" />);
-		expect(mockFormat).toHaveBeenCalledWith('100', 'bytes', undefined);
-	});
-});

frontend/src/container/DashboardContainer/visualization/charts/Pie/__tests__/utils.test.ts

@@ -1,101 +0,0 @@
-import {
-	getArcGeometry,
-	getFillColor,
-	getScaledFontSize,
-	lightenColor,
-} from '../utils';
-
-describe('Pie utils', () => {
-	describe('getScaledFontSize', () => {
-		it('returns the base size for empty text', () => {
-			expect(getScaledFontSize({ text: '', baseSize: 30, innerRadius: 100 })).toBe(
-				30,
-			);
-		});
-
-		it('does not scale short text (length <= 3)', () => {
-			// scaleFactor = max(0.3, 1) = 1 → baseSize, capped by innerRadius * 0.9.
-			expect(
-				getScaledFontSize({ text: '3.7', baseSize: 30, innerRadius: 100 }),
-			).toBe(30);
-		});
-
-		it('scales longer text down', () => {
-			// length 8 → scaleFactor = max(0.3, 1 - 5 * 0.09) = 0.55 → 30 * 0.55.
-			expect(
-				getScaledFontSize({ text: '12345678', baseSize: 30, innerRadius: 100 }),
-			).toBeCloseTo(16.5);
-		});
-
-		it('floors the scale factor at 0.3 for very long text', () => {
-			// length 20 → 1 - 17 * 0.09 < 0.3 → floored to 0.3 → 100 * 0.3.
-			expect(
-				getScaledFontSize({
-					text: '12345678901234567890',
-					baseSize: 100,
-					innerRadius: 1000,
-				}),
-			).toBeCloseTo(30);
-		});
-
-		it('caps the size at 90% of the inner radius', () => {
-			expect(
-				getScaledFontSize({ text: '3.7', baseSize: 200, innerRadius: 10 }),
-			).toBeCloseTo(9);
-		});
-	});
-
-	describe('getArcGeometry', () => {
-		it('places the label below for a slice centred at the top (angle 0)', () => {
-			const g = getArcGeometry(0, 0, 100);
-			expect(g.labelX).toBeCloseTo(0);
-			expect(g.labelY).toBeCloseTo(-130);
-			expect(g.lineEndX).toBeCloseTo(0);
-			expect(g.lineEndY).toBeCloseTo(-110);
-			// sin(0) is not > 0 → anchor end.
-			expect(g.textAnchor).toBe('end');
-		});
-
-		it('anchors to the start on the right half (angle pi/2)', () => {
-			const g = getArcGeometry(0, Math.PI, 100);
-			expect(g.labelX).toBeCloseTo(130);
-			expect(g.labelY).toBeCloseTo(0);
-			expect(g.textAnchor).toBe('start');
-		});
-
-		it('anchors to the end on the left half (angle 3pi/2)', () => {
-			const g = getArcGeometry(Math.PI, 2 * Math.PI, 100);
-			expect(g.labelX).toBeCloseTo(-130);
-			expect(g.textAnchor).toBe('end');
-		});
-	});
-
-	describe('lightenColor', () => {
-		it('converts a #rrggbb hex to rgba at the given opacity', () => {
-			expect(lightenColor('#ff0000', 0.4)).toBe('rgba(255, 0, 0, 0.4)');
-		});
-
-		it('accepts hex without a leading #', () => {
-			expect(lightenColor('00ff00', 0.4)).toBe('rgba(0, 255, 0, 0.4)');
-		});
-
-		it('returns the original colour when it is not parseable hex', () => {
-			expect(lightenColor('rgba(0,0,0,1)', 0.4)).toBe('rgba(0,0,0,1)');
-			expect(lightenColor('red', 0.4)).toBe('red');
-		});
-	});
-
-	describe('getFillColor', () => {
-		it('returns the colour unchanged when nothing is active', () => {
-			expect(getFillColor('#ff0000', null)).toBe('#ff0000');
-		});
-
-		it('returns the colour unchanged for the active slice', () => {
-			expect(getFillColor('#ff0000', '#ff0000')).toBe('#ff0000');
-		});
-
-		it('dims non-active slices to 40% opacity', () => {
-			expect(getFillColor('#00ff00', '#ff0000')).toBe('rgba(0, 255, 0, 0.4)');
-		});
-	});
-});

frontend/src/container/DashboardContainer/visualization/charts/Pie/types.ts

@@ -1,35 +0,0 @@
-/**
- * Pie-local types. Kept out of the component / util files so each stays focused
- * (per the one-component-per-file + dedicated-types rules). Shared chart types
- * (PieSlice, PieChartProps) live in the parent charts/types.ts.
- */
-
-export interface ScaledFontSizeArgs {
-	text: string;
-	baseSize: number;
-	innerRadius: number;
-}
-
-export interface ArcGeometry {
-	/** Outer point where the leader label sits. */
-	labelX: number;
-	labelY: number;
-	/** Elbow point where the leader line bends toward the label. */
-	lineEndX: number;
-	lineEndY: number;
-	/** Anchor the label left/right depending on which half of the circle it's in. */
-	textAnchor: 'start' | 'end';
-}
-
-export interface ParsedRgb {
-	r: number;
-	g: number;
-	b: number;
-}
-
-/** Resolved tooltip payload shown when a slice is hovered. */
-export interface PieTooltipData {
-	label: string;
-	value: string;
-	color: string;
-}

frontend/src/container/DashboardContainer/visualization/charts/Pie/utils.ts

@@ -1,89 +0,0 @@
-/**
- * Pure presentation helpers for the Pie chart. Kept out of the component file
- * so the renderer stays declarative (per the one-component-per-file rule).
- */
-
-import { ArcGeometry, ParsedRgb, ScaledFontSizeArgs } from './types';
-
-/**
- * Shrinks the centre-total font as the text gets longer so it never overflows
- * the donut hole. Ported from the V1 PiePanelWrapper.
- */
-export function getScaledFontSize({
-	text,
-	baseSize,
-	innerRadius,
-}: ScaledFontSizeArgs): number {
-	if (!text) {
-		return baseSize;
-	}
-
-	const { length } = text;
-	// More aggressive scaling for very long numbers.
-	const scaleFactor = Math.max(0.3, 1 - (length - 3) * 0.09);
-	// Don't use more than 90% of the inner radius.
-	const maxSize = innerRadius * 0.9;
-
-	return Math.min(baseSize * scaleFactor, maxSize);
-}
-
-/**
- * Computes the leader-line / label geometry for one arc from its angular span.
- * Pulled out of the render prop so the SVG markup stays declarative.
- */
-export function getArcGeometry(
-	startAngle: number,
-	endAngle: number,
-	radius: number,
-): ArcGeometry {
-	const angle = (startAngle + endAngle) / 2;
-	const labelRadius = radius * 1.3;
-	const lineEndRadius = radius * 1.1;
-	return {
-		labelX: Math.sin(angle) * labelRadius,
-		labelY: -Math.cos(angle) * labelRadius,
-		lineEndX: Math.sin(angle) * lineEndRadius,
-		lineEndY: -Math.cos(angle) * lineEndRadius,
-		textAnchor: Math.sin(angle) > 0 ? 'start' : 'end',
-	};
-}
-
-// Parses `#rrggbb` into its components. Returns null for anything else (e.g. an
-// already-rgba string), letting callers fall back to the original colour.
-function hexToRgb(color: string): ParsedRgb | null {
-	const result = /^#?([a-f\d]{2})([a-f\d]{2})([a-f\d]{2})$/i.exec(color);
-	return result
-		? {
-				r: parseInt(result[1], 16),
-				g: parseInt(result[2], 16),
-				b: parseInt(result[3], 16),
-			}
-		: null;
-}
-
-/**
- * Returns an rgba() string for `color` at the given opacity. Used to dim the
- * non-hovered slices. Falls back to the original colour if it can't be parsed.
- */
-export function lightenColor(color: string, opacity: number): string {
-	const rgb = hexToRgb(color);
-	if (!rgb) {
-		return color;
-	}
-	return `rgba(${rgb.r}, ${rgb.g}, ${rgb.b}, ${opacity})`;
-}
-
-/**
- * Resolves the fill for a slice given the currently-hovered slice colour:
- * everything but the active slice dims to 40% opacity. With nothing hovered
- * (`activeColor === null`) every slice keeps its full colour.
- */
-export function getFillColor(
-	color: string,
-	activeColor: string | null,
-): string {
-	if (activeColor === null) {
-		return color;
-	}
-	return activeColor === color ? color : lightenColor(color, 0.4);
-}

frontend/src/container/DashboardContainer/visualization/charts/types.ts

@@ -3,14 +3,13 @@ import { PrecisionOption } from 'components/Graph/types';
 import {
 	IRenderTooltipFooterArgs,
 	LegendConfig,
-	LegendPosition,
 	TooltipRenderArgs,
 } from 'lib/uPlotV2/components/types';
 import { UPlotConfigBuilder } from 'lib/uPlotV2/config/UPlotConfigBuilder';
 import {
 	DashboardCursorSync,
 	SyncTooltipFilterMode,
-	ChartClickData,
+	TooltipClickData,
 } from 'lib/uPlotV2/plugins/TooltipPlugin/types';
 import { BaseAutocompleteData } from 'types/api/queryBuilder/queryAutocompleteResponse';
 
@@ -23,10 +22,10 @@ interface BaseChartProps {
 	/** Key that pins the tooltip while hovering. Defaults to DEFAULT_PIN_TOOLTIP_KEY ('l'). */
 	pinKey?: string;
 	/** Called when the user clicks the uPlot overlay. Receives resolved click data. */
-	onClick?: (clickData: ChartClickData) => void;
+	onClick?: (clickData: TooltipClickData) => void;
 	yAxisUnit?: string;
 	decimalPrecision?: PrecisionOption;
-	pinnedTooltipElement?: (clickData: ChartClickData) => React.ReactNode;
+	pinnedTooltipElement?: (clickData: TooltipClickData) => React.ReactNode;
 	renderTooltipFooter?: (args: IRenderTooltipFooterArgs) => React.ReactNode;
 	customTooltip?: (props: TooltipRenderArgs) => React.ReactNode;
 	'data-testid'?: string;
@@ -70,36 +69,3 @@ export type ChartProps =
 	| TimeSeriesChartProps
 	| BarChartProps
 	| HistogramChartProps;
-
-/**
- * One resolved pie/donut slice: a display label, its (already parsed) positive
- * numeric value, and the colour used for the arc + legend swatch.
- */
-export interface PieSlice {
-	label: string;
-	value: number;
-	color: string;
-}
-
-/**
- * Props for the Pie chart. Unlike the others above, Pie is NOT uPlot-based
- * (it renders with @visx), so it deliberately does not extend BaseChartProps /
- * UPlotBasedChartProps — it takes pre-resolved slices and self-measures its
- * draw area rather than receiving a uPlot config + aligned data.
- */
-export interface PieChartProps {
-	data: PieSlice[];
-	yAxisUnit?: string;
-	decimalPrecision?: PrecisionOption;
-	isDarkMode: boolean;
-	/** Legend placement. Drives the chart-vs-legend layout. Default BOTTOM. */
-	position?: LegendPosition;
-	/**
-	 * Widget id used to persist per-slice hide/unhide state to localStorage
-	 * (shared GRAPH_VISIBILITY_STATES, keyed by label). Omit to disable persistence.
-	 */
-	id?: string;
-	/** Fired when a slice (or its legend entry) is clicked. */
-	onSliceClick?: (slice: PieSlice) => void;
-	'data-testid'?: string;
-}

frontend/src/container/DashboardContainer/visualization/hooks/__tests__/usePieInteractions.test.tsx

@@ -1,147 +0,0 @@
-import { act, renderHook } from '@testing-library/react';
-import {
-	getStoredSeriesVisibility,
-	updateSeriesVisibilityToLocalStorage,
-} from 'container/DashboardContainer/visualization/panels/utils/legendVisibilityUtils';
-import type { MouseEvent } from 'react';
-
-import { PieSlice } from '../../charts/types';
-import { usePieInteractions } from '../usePieInteractions';
-
-jest.mock(
-	'container/DashboardContainer/visualization/panels/utils/legendVisibilityUtils',
-);
-
-const mockGetStored = getStoredSeriesVisibility as jest.MockedFunction<
-	typeof getStoredSeriesVisibility
->;
-const mockUpdateStored =
-	updateSeriesVisibilityToLocalStorage as jest.MockedFunction<
-		typeof updateSeriesVisibilityToLocalStorage
-	>;
-
-const DATA: PieSlice[] = [
-	{ label: 'frontend', value: 100, color: '#a' },
-	{ label: 'cart', value: 60, color: '#b' },
-	{ label: 'checkout', value: 40, color: '#c' },
-];
-
-// Builds a fake legend click/move event: `e.target.closest('[data-legend-item-id]')`
-// resolves to the item at `index`, and `e.target.dataset.isLegendMarker` flags marker clicks.
-function legendEvent(
-	index: number | null,
-	isMarker = false,
-): MouseEvent<HTMLDivElement> {
-	const itemEl =
-		index == null ? null : { dataset: { legendItemId: String(index) } };
-	return {
-		target: {
-			closest: (): unknown => itemEl,
-			dataset: { isLegendMarker: isMarker ? 'true' : undefined },
-		},
-	} as unknown as MouseEvent<HTMLDivElement>;
-}
-
-describe('usePieInteractions', () => {
-	beforeEach(() => {
-		mockGetStored.mockReturnValue(null);
-		mockUpdateStored.mockReset();
-	});
-
-	it('starts with everything visible and nothing focused', () => {
-		const { result } = renderHook(() => usePieInteractions(DATA));
-
-		expect(result.current.visibleData).toStrictEqual(DATA);
-		expect(result.current.legendItems.map((i) => i.show)).toStrictEqual([
-			true,
-			true,
-			true,
-		]);
-		expect(result.current.focusedSeriesIndex).toBeNull();
-		expect(result.current.active).toBeNull();
-	});
-
-	describe('marker click (toggle one)', () => {
-		it('hides then unhides the clicked slice', () => {
-			const { result } = renderHook(() => usePieInteractions(DATA, 'panel-1'));
-
-			act(() => result.current.onLegendClick(legendEvent(1, true)));
-
-			expect(result.current.visibleData).toStrictEqual([DATA[0], DATA[2]]);
-			expect(result.current.legendItems[1].show).toBe(false);
-			expect(mockUpdateStored).toHaveBeenLastCalledWith('panel-1', [
-				{ label: 'frontend', show: true },
-				{ label: 'cart', show: false },
-				{ label: 'checkout', show: true },
-			]);
-
-			act(() => result.current.onLegendClick(legendEvent(1, true)));
-
-			expect(result.current.visibleData).toStrictEqual(DATA);
-			expect(result.current.legendItems[1].show).toBe(true);
-		});
-	});
-
-	describe('label click (isolate / reset)', () => {
-		it('isolates the clicked slice, then resets on a second click', () => {
-			const { result } = renderHook(() => usePieInteractions(DATA));
-
-			act(() => result.current.onLegendClick(legendEvent(0, false)));
-
-			expect(result.current.visibleData).toStrictEqual([DATA[0]]);
-			expect(result.current.legendItems.map((i) => i.show)).toStrictEqual([
-				true,
-				false,
-				false,
-			]);
-
-			act(() => result.current.onLegendClick(legendEvent(0, false)));
-
-			expect(result.current.visibleData).toStrictEqual(DATA);
-		});
-	});
-
-	describe('hover', () => {
-		it('focuses the hovered slice and clears on leave', () => {
-			const { result } = renderHook(() => usePieInteractions(DATA));
-
-			act(() => result.current.onLegendMouseMove(legendEvent(2)));
-			expect(result.current.active).toStrictEqual(DATA[2]);
-			expect(result.current.focusedSeriesIndex).toBe(2);
-
-			act(() => result.current.onLegendMouseLeave());
-			expect(result.current.active).toBeNull();
-			expect(result.current.focusedSeriesIndex).toBeNull();
-		});
-
-		it('does not focus a hidden slice', () => {
-			const { result } = renderHook(() => usePieInteractions(DATA));
-
-			act(() => result.current.onLegendClick(legendEvent(1, true))); // hide cart
-			act(() => result.current.onLegendMouseMove(legendEvent(1)));
-
-			expect(result.current.active).toBeNull();
-		});
-	});
-
-	describe('persistence', () => {
-		it('does not write to storage when no id is provided', () => {
-			const { result } = renderHook(() => usePieInteractions(DATA));
-			act(() => result.current.onLegendClick(legendEvent(0, true)));
-			expect(mockUpdateStored).not.toHaveBeenCalled();
-		});
-
-		it('rehydrates hidden slices from storage on mount (matched by label)', () => {
-			mockGetStored.mockReturnValue([
-				{ label: 'frontend', show: true },
-				{ label: 'cart', show: false },
-				{ label: 'checkout', show: true },
-			]);
-
-			const { result } = renderHook(() => usePieInteractions(DATA, 'panel-1'));
-
-			expect(result.current.visibleData).toStrictEqual([DATA[0], DATA[2]]);
-			expect(result.current.legendItems[1].show).toBe(false);
-		});
-	});
-});

frontend/src/container/DashboardContainer/visualization/hooks/usePieInteractions.ts

@@ -1,168 +0,0 @@
-import { LegendItem } from 'lib/uPlotV2/config/types';
-import type { Dispatch, MouseEvent, SetStateAction } from 'react';
-import { useCallback, useEffect, useMemo, useRef, useState } from 'react';
-
-import {
-	getStoredSeriesVisibility,
-	updateSeriesVisibilityToLocalStorage,
-} from '../panels/utils/legendVisibilityUtils';
-import { PieSlice } from '../charts/types';
-
-export interface UsePieInteractionsResult {
-	/** The hovered/focused slice (drives donut dimming + tooltip). */
-	active: PieSlice | null;
-	setActive: Dispatch<SetStateAction<PieSlice | null>>;
-	/** Slices currently shown (hidden ones removed). */
-	visibleData: PieSlice[];
-	/** Legend item per slice (`show` reflects hide state). */
-	legendItems: LegendItem[];
-	/** Index of the active slice for the legend's focus highlight, or null. */
-	focusedSeriesIndex: number | null;
-	onLegendClick: (e: MouseEvent<HTMLDivElement>) => void;
-	onLegendMouseMove: (e: MouseEvent<HTMLDivElement>) => void;
-	onLegendMouseLeave: () => void;
-}
-
-// Reads the slice index off the nearest `[data-legend-item-id]` ancestor of the
-// event target (the shared Legend tags each item with its seriesIndex).
-function getLegendIndex(e: MouseEvent<HTMLDivElement>): number | null {
-	const el = (e.target as HTMLElement | null)?.closest<HTMLElement>(
-		'[data-legend-item-id]',
-	);
-	const id = el?.dataset.legendItemId;
-	return id != null ? Number(id) : null;
-}
-
-/**
- * Pie interaction + derived state: hover/focus, slice hide/unhide (mirroring the
- * uPlot legend — marker toggles one, label isolates), and persistence of the
- * hidden set to localStorage (keyed by `id`, matched by label) so it survives
- * reloads. Returns the visible slices, legend items, focus index, and the
- * legend container handlers.
- */
-export function usePieInteractions(
-	data: PieSlice[],
-	id?: string,
-): UsePieInteractionsResult {
-	const [active, setActive] = useState<PieSlice | null>(null);
-	const [hiddenIndices, setHiddenIndices] = useState<Set<number>>(
-		() => new Set(),
-	);
-	const isolatedIndexRef = useRef<number | null>(null);
-
-	const legendItems = useMemo<LegendItem[]>(
-		() =>
-			data.map((slice, index) => ({
-				seriesIndex: index,
-				label: slice.label,
-				color: slice.color,
-				show: !hiddenIndices.has(index),
-			})),
-		[data, hiddenIndices],
-	);
-
-	// Hidden slices drop out so the remaining arcs + centre total recompute.
-	const visibleData = useMemo(
-		() => data.filter((_, index) => !hiddenIndices.has(index)),
-		[data, hiddenIndices],
-	);
-
-	// Rehydrate hide/unhide from localStorage (matched by label) whenever the
-	// data set changes — including first load and every refetch, since the store
-	// is the source of truth and toggles write back to it.
-	useEffect(() => {
-		if (!id || !data.length) {
-			return;
-		}
-		const stored = getStoredSeriesVisibility(id);
-		if (!stored) {
-			return;
-		}
-		const hidden = new Set<number>();
-		data.forEach((slice, index) => {
-			if (stored.find((s) => s.label === slice.label)?.show === false) {
-				hidden.add(index);
-			}
-		});
-		setHiddenIndices(hidden);
-	}, [id, data]);
-
-	// Apply a new hidden set and persist it (label + show) to localStorage.
-	const applyHidden = useCallback(
-		(hidden: Set<number>): void => {
-			setHiddenIndices(hidden);
-			if (id) {
-				updateSeriesVisibilityToLocalStorage(
-					id,
-					data.map((slice, index) => ({
-						label: slice.label,
-						show: !hidden.has(index),
-					})),
-				);
-			}
-		},
-		[id, data],
-	);
-
-	const onLegendMouseMove = useCallback(
-		(e: MouseEvent<HTMLDivElement>): void => {
-			const index = getLegendIndex(e);
-			// Don't focus/dim for hidden slices — they aren't on the donut.
-			setActive(index != null && !hiddenIndices.has(index) ? data[index] : null);
-		},
-		[data, hiddenIndices],
-	);
-
-	// Marker click toggles just that slice on/off; label click isolates it
-	// (clicking the isolated one again resets to all) — mirrors the uPlot legend.
-	const onLegendClick = useCallback(
-		(e: MouseEvent<HTMLDivElement>): void => {
-			const index = getLegendIndex(e);
-			if (index == null) {
-				return;
-			}
-			const isMarker = (e.target as HTMLElement).dataset.isLegendMarker;
-
-			if (isMarker) {
-				const next = new Set(hiddenIndices);
-				if (next.has(index)) {
-					next.delete(index);
-				} else {
-					next.add(index);
-				}
-				applyHidden(next);
-				return;
-			}
-
-			const isReset = isolatedIndexRef.current === index;
-			isolatedIndexRef.current = isReset ? null : index;
-			if (isReset) {
-				applyHidden(new Set());
-				return;
-			}
-			const next = new Set<number>();
-			data.forEach((_, i) => {
-				if (i !== index) {
-					next.add(i);
-				}
-			});
-			applyHidden(next);
-		},
-		[data, hiddenIndices, applyHidden],
-	);
-
-	const onLegendMouseLeave = useCallback((): void => setActive(null), []);
-
-	const focusedIndex = active ? data.indexOf(active) : -1;
-
-	return {
-		active,
-		setActive,
-		visibleData,
-		legendItems,
-		focusedSeriesIndex: focusedIndex >= 0 ? focusedIndex : null,
-		onLegendClick,
-		onLegendMouseMove,
-		onLegendMouseLeave,
-	};
-}

frontend/src/container/OrganizationSettings/AuthDomain/CreateEdit/CreateEdit.tsx

@@ -96,28 +96,14 @@ function CreateOrEdit(props: CreateOrEditProps): JSX.Element {
 			return undefined;
 		}
 
-		const {
-			domainToAdminEmailList,
-			allowedGroups,
-			serviceAccountJson,
-			domainToAdminEmail: _domainToAdminEmail,
-			fetchTransitiveGroupMembership,
-			...rest
-		} = config;
+		const { domainToAdminEmailList, ...rest } = config;
 		const domainToAdminEmail = convertDomainMappingsToRecord(
 			domainToAdminEmailList,
 		);
 
 		return {
 			...rest,
-			...(rest.fetchGroups
-				? {
-						allowedGroups,
-						serviceAccountJson,
-						domainToAdminEmail: domainToAdminEmail ?? {},
-						fetchTransitiveGroupMembership,
-					}
-				: { domainToAdminEmail: {} }),
+			domainToAdminEmail: domainToAdminEmail ?? {},
 		};
 	}, [form]);
 
@@ -143,7 +129,7 @@ function CreateOrEdit(props: CreateOrEditProps): JSX.Element {
 
 		return {
 			...rest,
-			groupMappings: rest.useRoleAttribute ? undefined : (groupMappings ?? {}),
+			groupMappings: groupMappings ?? {},
 		};
 	}, [form]);
 

frontend/src/container/OrganizationSettings/AuthDomain/__tests__/CreateEdit.sanitization.test.tsx

@@ -1,195 +0,0 @@
-import { fireEvent, render, screen, waitFor } from 'tests/test-utils';
-import { rest, server } from 'mocks-server/server';
-import { AuthtypesGettableAuthDomainDTO } from 'api/generated/services/sigNoz.schemas';
-
-import CreateEdit from '../CreateEdit/CreateEdit';
-import {
-	AUTH_DOMAINS_UPDATE_ENDPOINT,
-	mockDomainWithRoleMapping,
-	mockGoogleAuthDomain,
-	mockGoogleAuthWithWorkspaceGroups,
-	mockOidcWithClaimMapping,
-	mockSamlWithAttributeMapping,
-	mockUpdateSuccessResponse,
-} from './mocks';
-
-// @signozhq/ui/button internal effects block form.validateFields() in tests
-jest.mock('@signozhq/ui/button', () => ({
-	...jest.requireActual('@signozhq/ui/button'),
-	Button: ({
-		children,
-		onClick,
-		loading,
-		disabled,
-		'aria-label': ariaLabel,
-		prefix,
-		suffix,
-	}: {
-		children?: React.ReactNode;
-		onClick?: React.MouseEventHandler<HTMLButtonElement>;
-		loading?: boolean;
-		disabled?: boolean;
-		'aria-label'?: string;
-		prefix?: React.ReactNode;
-		suffix?: React.ReactNode;
-	}) => (
-		<button
-			type="button"
-			onClick={onClick}
-			disabled={disabled || loading}
-			aria-label={ariaLabel}
-		>
-			{prefix}
-			{children}
-			{suffix}
-		</button>
-	),
-}));
-
-type SavedPayload = {
-	config: {
-		googleAuthConfig?: Record<string, unknown>;
-		samlConfig?: Record<string, unknown>;
-		oidcConfig?: Record<string, unknown>;
-		roleMapping?: Record<string, unknown>;
-	};
-};
-
-async function submitForm(
-	record: AuthtypesGettableAuthDomainDTO,
-): Promise<SavedPayload> {
-	const requests: SavedPayload[] = [];
-
-	server.use(
-		rest.put(AUTH_DOMAINS_UPDATE_ENDPOINT, async (req, res, ctx) => {
-			requests.push((await req.json()) as SavedPayload);
-			return res(ctx.status(200), ctx.json(mockUpdateSuccessResponse));
-		}),
-	);
-
-	render(<CreateEdit isCreate={false} record={record} onClose={jest.fn()} />);
-	fireEvent.click(screen.getByRole('button', { name: /save changes/i }));
-	await waitFor(() => expect(requests).toHaveLength(1));
-
-	return requests[0];
-}
-
-describe('CreateEdit — payload sanitization', () => {
-	afterEach(() => server.resetHandlers());
-
-	describe('Google Auth', () => {
-		it('sends core fields and omits workspace fields when fetchGroups is not set', async () => {
-			const payload = await submitForm(mockGoogleAuthDomain);
-
-			const g = payload.config.googleAuthConfig;
-			expect(g?.clientId).toBe('test-client-id');
-			expect(g?.clientSecret).toBe('test-client-secret');
-			expect(g?.allowedGroups).toBeUndefined();
-			expect(g?.serviceAccountJson).toBeUndefined();
-			expect(g?.fetchTransitiveGroupMembership).toBeUndefined();
-			expect(g?.domainToAdminEmail).toStrictEqual({});
-		});
-
-		it('strips workspace fields when fetchGroups is false', async () => {
-			const payload = await submitForm({
-				...mockGoogleAuthWithWorkspaceGroups,
-				config: {
-					...mockGoogleAuthWithWorkspaceGroups.config,
-					googleAuthConfig: {
-						...mockGoogleAuthWithWorkspaceGroups.config?.googleAuthConfig,
-						fetchGroups: false,
-					},
-				},
-			});
-
-			const g = payload.config.googleAuthConfig;
-			expect(g?.fetchGroups).toBe(false);
-			expect(g?.allowedGroups).toBeUndefined();
-			expect(g?.serviceAccountJson).toBeUndefined();
-			expect(g?.fetchTransitiveGroupMembership).toBeUndefined();
-			expect(g?.domainToAdminEmail).toStrictEqual({});
-		});
-
-		it('includes all workspace fields when fetchGroups is true', async () => {
-			const payload = await submitForm(mockGoogleAuthWithWorkspaceGroups);
-
-			const g = payload.config.googleAuthConfig;
-			expect(g?.fetchGroups).toBe(true);
-			expect(g?.serviceAccountJson).toBe('{"type": "service_account"}');
-			expect(g?.fetchTransitiveGroupMembership).toBe(true);
-			expect(g?.allowedGroups).toStrictEqual([
-				'allowed-group-1',
-				'allowed-group-2',
-			]);
-			expect(g?.domainToAdminEmail).toStrictEqual({
-				'google-groups.com': 'admin@google-groups.com',
-			});
-		});
-	});
-
-	describe('SAML', () => {
-		it('sends core and attributeMapping fields', async () => {
-			const payload = await submitForm(mockSamlWithAttributeMapping);
-
-			const s = payload.config.samlConfig;
-			expect(s?.samlIdp).toBe('https://idp.saml-attrs.com/sso');
-			expect(s?.samlEntity).toBe('urn:saml-attrs:idp');
-			expect(s?.samlCert).toBe('MOCK_CERTIFICATE_ATTRS');
-			expect(s?.insecureSkipAuthNRequestsSigned).toBe(true);
-
-			const attr = s?.attributeMapping as Record<string, unknown>;
-			expect(attr?.name).toBe('user_display_name');
-			expect(attr?.groups).toBe('member_of');
-			expect(attr?.role).toBe('signoz_role');
-		});
-	});
-
-	describe('OIDC', () => {
-		it('sends all fields including claimMapping', async () => {
-			const payload = await submitForm(mockOidcWithClaimMapping);
-
-			const o = payload.config.oidcConfig;
-			expect(o?.issuer).toBe('https://oidc.claims.com');
-			expect(o?.issuerAlias).toBe('https://alias.claims.com');
-			expect(o?.clientId).toBe('claims-client-id');
-			expect(o?.clientSecret).toBe('claims-client-secret');
-			expect(o?.insecureSkipEmailVerified).toBe(true);
-			expect(o?.getUserInfo).toBe(true);
-
-			const claim = o?.claimMapping as Record<string, unknown>;
-			expect(claim?.email).toBe('user_email');
-			expect(claim?.name).toBe('display_name');
-			expect(claim?.groups).toBe('user_groups');
-			expect(claim?.role).toBe('user_role');
-		});
-	});
-
-	describe('Role Mapping', () => {
-		it('strips groupMappings when useRoleAttribute is true', async () => {
-			const payload = await submitForm({
-				...mockDomainWithRoleMapping,
-				config: {
-					...mockDomainWithRoleMapping.config,
-					roleMapping: {
-						...mockDomainWithRoleMapping.config?.roleMapping,
-						useRoleAttribute: true,
-					},
-				},
-			});
-
-			expect(payload.config.roleMapping?.useRoleAttribute).toBe(true);
-			expect(payload.config.roleMapping?.groupMappings).toBeUndefined();
-		});
-
-		it('sends groupMappings when useRoleAttribute is false', async () => {
-			const payload = await submitForm(mockDomainWithRoleMapping);
-
-			expect(payload.config.roleMapping?.useRoleAttribute).toBe(false);
-			expect(payload.config.roleMapping?.groupMappings).toStrictEqual({
-				'admin-group': 'ADMIN',
-				'dev-team': 'EDITOR',
-				viewers: 'VIEWER',
-			});
-		});
-	});
-});

frontend/src/container/QueryBuilder/filters/QueryBuilderSearch/style.ts

@@ -22,12 +22,11 @@ export const StyledCheckOutlined = styled(Check)`
 	float: right;
 `;
 
-export const TagContainer = styled(Badge).attrs({
-	color: 'secondary',
-	variant: 'outline',
-})`
+export const TagContainer = styled(Badge)`
 	&&& {
 		display: flex;
+		border-radius: 3px;
+		padding: 0.1rem 0.2rem;
 		font-weight: 300;
 		font-size: 0.6rem;
 	}
@@ -39,5 +38,4 @@ export const TagLabel = styled.span`
 
 export const TagValue = styled.span`
 	text-transform: capitalize;
-	font-weight: 400;
 `;

frontend/src/container/RolesSettings/RolesComponents/RolesListingTable.tsx

@@ -1,6 +1,7 @@
 import { useCallback, useEffect, useMemo } from 'react';
 import { useHistory } from 'react-router-dom';
-import { Pagination, Skeleton } from 'antd';
+import { Skeleton } from 'antd';
+import { Pagination } from '@signozhq/ui/pagination';
 import { useListRoles } from 'api/generated/services/role';
 import { AuthtypesRoleDTO } from 'api/generated/services/sigNoz.schemas';
 import ErrorInPlace from 'components/ErrorInPlace/ErrorInPlace';
@@ -116,20 +117,22 @@ function RolesListingTable({
 
 	const totalRoleCount = managedRoles.length + customRoles.length;
 
-	// Ensure current page is valid; if out of bounds, redirect to last available page
+	const maxPage = totalRoleCount > 0 ? Math.ceil(totalRoleCount / PAGE_SIZE) : 1;
+	const effectivePage = Math.min(currentPage, maxPage);
+
+	// Sync URL when currentPage is out of bounds after data changes
 	useEffect(() => {
 		if (isLoading || totalRoleCount === 0) {
 			return;
 		}
-		const maxPage = Math.ceil(totalRoleCount / PAGE_SIZE);
 		if (currentPage > maxPage) {
 			setCurrentPage(maxPage);
 		}
-	}, [isLoading, totalRoleCount, currentPage, setCurrentPage]);
+	}, [isLoading, totalRoleCount, currentPage, maxPage, setCurrentPage]);
 
 	// Paginate: count only role items, but include section headers contextually
 	const paginatedItems = useMemo((): DisplayItem[] => {
-		const startRole = (currentPage - 1) * PAGE_SIZE;
+		const startRole = (effectivePage - 1) * PAGE_SIZE;
 		const endRole = startRole + PAGE_SIZE;
 		let roleIndex = 0;
 		let lastSection: DisplayItem | null = null;
@@ -151,16 +154,7 @@ function RolesListingTable({
 			}
 		}
 		return result;
-	}, [displayList, currentPage]);
-
-	const showPaginationItem = (total: number, range: number[]): JSX.Element => (
-		<>
-			<span className="numbers">
-				{range[0]} &#8212; {range[1]}
-			</span>
-			<span className="total"> of {total}</span>
-		</>
-	);
+	}, [displayList, effectivePage]);
 
 	if (!hasListPermission && listPerms !== null) {
 		return <PermissionDeniedFullPage permissionName="role:list" />;
@@ -280,16 +274,23 @@ function RolesListingTable({
 				</div>
 			</div>
 
-			<Pagination
-				current={currentPage}
-				pageSize={PAGE_SIZE}
-				total={totalRoleCount}
-				showTotal={showPaginationItem}
-				showSizeChanger={false}
-				hideOnSinglePage
-				onChange={(page): void => setCurrentPage(page)}
-				className="roles-table-pagination"
-			/>
+			<div className="roles-table-pagination">
+				{totalRoleCount > 0 && (
+					<div className="roles-table-count">
+						<span className="numbers">
+							{(effectivePage - 1) * PAGE_SIZE + 1} &#8212;{' '}
+							{Math.min(effectivePage * PAGE_SIZE, totalRoleCount)}
+						</span>
+						<span className="total">of {totalRoleCount}</span>
+					</div>
+				)}
+				<Pagination
+					current={effectivePage}
+					pageSize={PAGE_SIZE}
+					total={totalRoleCount}
+					onPageChange={(page): void => setCurrentPage(page)}
+				/>
+			</div>
 		</div>
 	);
 }

frontend/src/container/RolesSettings/RolesSettings.styles.scss

@@ -212,7 +212,10 @@
 	justify-content: flex-end;
 	padding: 8px 16px;
 
-	.ant-pagination-total-text {
+	.roles-table-count {
+		display: flex;
+		align-items: center;
+		gap: var(--spacing-2);
 		margin-right: auto;
 
 		.numbers {

frontend/src/container/RolesSettings/__tests__/RolesSettings.authz.test.tsx

@@ -226,6 +226,20 @@ describe('RolesSettings', () => {
 		});
 	});
 
+	it('shows pagination count text with correct range and total', async () => {
+		render(<RolesSettings />);
+
+		await expect(screen.findByText('signoz-admin')).resolves.toBeInTheDocument();
+
+		// 5 roles total: range shows "1 — 5", total shows "of 5"
+		const countEl = document.querySelector('.roles-table-count');
+		expect(countEl).toBeInTheDocument();
+		expect(countEl?.querySelector('.total')?.textContent).toBe('of 5');
+		expect(
+			countEl?.querySelector('.numbers')?.textContent?.replace(/\s+/g, ' ').trim(),
+		).toBe('1 — 5');
+	});
+
 	it('handles invalid dates gracefully by showing fallback', async () => {
 		const invalidRole = {
 			id: 'edge-0009',

frontend/src/lib/uPlotV2/components/Legend/Legend.styles.scss

@@ -171,18 +171,17 @@
 	}
 
 	.legend-copy-button {
-		// Always laid out (space reserved) but transparent, so revealing it on
-		// hover fades the icon in without reflowing the row / shifting the label.
-		// Shrink the shared icon Button (defaults to a 2rem square) to the
-		// compact legend row via its size tokens.
-		--button-height: auto;
-		--button-width: auto;
-		--button-padding: 2px;
-
-		opacity: 0;
+		display: none;
+		align-items: center;
+		justify-content: center;
 		flex-shrink: 0;
+		padding: 2px;
+		margin: 0;
+		border: none;
 		color: var(--l2-foreground);
+		cursor: pointer;
 		border-radius: 4px;
+		opacity: 1;
 		transition:
 			opacity 0.15s ease,
 			color 0.15s ease;
@@ -193,8 +192,9 @@
 	}
 
 	&:hover {
-		background: var(--l3-background);
+		background: color-mix(in srgb, var(--l1-foreground) 5%, transparent);
 		.legend-copy-button {
+			display: flex;
 			opacity: 1;
 		}
 	}

frontend/src/lib/uPlotV2/components/Legend/Legend.tsx

@@ -1,41 +1,39 @@
 import { useCallback, useMemo, useRef, useState } from 'react';
 import { VirtuosoGrid } from 'react-virtuoso';
-import { Input } from 'antd';
-import { Button } from '@signozhq/ui/button';
-import { TooltipSimple } from '@signozhq/ui/tooltip';
+import { Input, Tooltip as AntdTooltip } from 'antd';
 import cx from 'classnames';
 import { useCopyToClipboard } from 'hooks/useCopyToClipboard';
 import { LegendItem } from 'lib/uPlotV2/config/types';
+import useLegendsSync from 'lib/uPlotV2/hooks/useLegendsSync';
 import { Check, Copy } from '@signozhq/icons';
 
+import { useLegendActions } from '../../hooks/useLegendActions';
 import { LegendPosition, LegendProps } from '../types';
 
 import './Legend.styles.scss';
 
 export const MAX_LEGEND_WIDTH = 240;
 
-/**
- * Presentational legend. Renders the supplied `items` (markers + labels, an
- * optional copy button, and a search box for the RIGHT position) and delegates
- * all interaction to the container handlers. Source-agnostic — the uPlot
- * charts feed it via UPlotLegend; Pie feeds it directly.
- */
 export default function Legend({
-	items,
-	position,
+	position = LegendPosition.BOTTOM,
+	config,
 	averageLegendWidth = MAX_LEGEND_WIDTH,
-	focusedSeriesIndex,
-	onClick,
-	onMouseMove,
-	onMouseLeave,
-	showCopy = true,
 }: LegendProps): JSX.Element {
+	const { legendItemsMap, focusedSeriesIndex, setFocusedSeriesIndex } =
+		useLegendsSync({ config });
+	const { onLegendClick, onLegendMouseMove, onLegendMouseLeave } =
+		useLegendActions({
+			setFocusedSeriesIndex,
+			focusedSeriesIndex,
+		});
 	const legendContainerRef = useRef<HTMLDivElement | null>(null);
 	const [legendSearchQuery, setLegendSearchQuery] = useState('');
 	const { copyToClipboard, id: copiedId } = useCopyToClipboard();
 
-	// Search is intrinsic to the right-positioned legend.
-	const searchEnabled = position === LegendPosition.RIGHT;
+	const legendItems = useMemo(
+		() => Object.values(legendItemsMap),
+		[legendItemsMap],
+	);
 
 	const isSingleRow = useMemo(() => {
 		if (!legendContainerRef.current || position !== LegendPosition.BOTTOM) {
@@ -43,19 +41,21 @@ export default function Legend({
 		}
 		const containerWidth = legendContainerRef.current.clientWidth;
 
-		const totalLegendWidth = items.length * (averageLegendWidth + 16);
+		const totalLegendWidth = legendItems.length * (averageLegendWidth + 16);
 		const totalRows = Math.ceil(totalLegendWidth / containerWidth);
 		return totalRows <= 1;
-	}, [averageLegendWidth, items.length, position]);
+	}, [averageLegendWidth, legendContainerRef, legendItems.length, position]);
 
 	const visibleLegendItems = useMemo(() => {
-		if (!searchEnabled || !legendSearchQuery.trim()) {
-			return items;
+		if (position !== LegendPosition.RIGHT || !legendSearchQuery.trim()) {
+			return legendItems;
 		}
 
 		const query = legendSearchQuery.trim().toLowerCase();
-		return items.filter((item) => item.label?.toLowerCase().includes(query));
-	}, [searchEnabled, legendSearchQuery, items]);
+		return legendItems.filter((item) =>
+			item.label?.toLowerCase().includes(query),
+		);
+	}, [position, legendSearchQuery, legendItems]);
 
 	const handleCopyLegendItem = useCallback(
 		(e: React.MouseEvent, seriesIndex: number, label: string): void => {
@@ -68,9 +68,6 @@ export default function Legend({
 	const renderLegendItem = useCallback(
 		(item: LegendItem): JSX.Element => {
 			const isCopied = copiedId === item.seriesIndex;
-			// `color` is uPlot's stroke union (string | fn | gradient); only a string
-			// is a usable CSS colour for the marker.
-			const markerColor = typeof item.color === 'string' ? item.color : undefined;
 			return (
 				<div
 					key={item.seriesIndex}
@@ -80,68 +77,54 @@ export default function Legend({
 						'legend-item-focused': focusedSeriesIndex === item.seriesIndex,
 					})}
 				>
-					<TooltipSimple title={item.label} arrow side="top" disableHoverableContent>
+					<AntdTooltip title={item.label}>
 						<div className="legend-item-label-trigger">
 							<div
 								className="legend-marker"
-								style={{ borderColor: markerColor }}
+								style={{ borderColor: String(item.color) }}
 								data-is-legend-marker={true}
 							/>
 							<span className="legend-label">{item.label}</span>
 						</div>
-					</TooltipSimple>
-					{showCopy && (
-						<TooltipSimple
-							title={isCopied ? 'Copied' : 'Copy'}
-							arrow
-							side="top"
-							disableHoverableContent
+					</AntdTooltip>
+					<AntdTooltip title={isCopied ? 'Copied' : 'Copy'}>
+						<button
+							type="button"
+							className="legend-copy-button"
+							onClick={(e): void =>
+								handleCopyLegendItem(e, item.seriesIndex, item.label ?? '')
+							}
+							aria-label={`Copy ${item.label}`}
+							data-testid="legend-copy"
 						>
-							<Button
-								type="button"
-								size="icon"
-								variant="ghost"
-								color="secondary"
-								className="legend-copy-button"
-								onClick={(e): void =>
-									handleCopyLegendItem(e, item.seriesIndex, item.label ?? '')
-								}
-								aria-label={`Copy ${item.label}`}
-								// data-testid (not testId): TooltipSimple's trigger injects
-								// data-testid:undefined via Radix Slot, and Button spreads
-								// incoming props after its own testId — so set it as a prop
-								// that wins the Slot merge and survives the spread.
-								data-testid="legend-copy"
-							>
-								{isCopied ? <Check size={12} /> : <Copy size={12} />}
-							</Button>
-						</TooltipSimple>
-					)}
+							{isCopied ? <Check size={12} /> : <Copy size={12} />}
+						</button>
+					</AntdTooltip>
 				</div>
 			);
 		},
-		[copiedId, focusedSeriesIndex, handleCopyLegendItem, position, showCopy],
+		[copiedId, focusedSeriesIndex, handleCopyLegendItem, position],
 	);
 
 	const isEmptyState = useMemo(() => {
-		if (!searchEnabled || !legendSearchQuery.trim()) {
+		if (position !== LegendPosition.RIGHT || !legendSearchQuery.trim()) {
 			return false;
 		}
 		return visibleLegendItems.length === 0;
-	}, [searchEnabled, legendSearchQuery, visibleLegendItems]);
+	}, [position, legendSearchQuery, visibleLegendItems]);
 
 	return (
 		<div
 			ref={legendContainerRef}
 			className="legend-container"
-			onClick={onClick}
-			onMouseMove={onMouseMove}
-			onMouseLeave={onMouseLeave}
+			onClick={onLegendClick}
+			onMouseMove={onLegendMouseMove}
+			onMouseLeave={onLegendMouseLeave}
 			style={{
 				['--legend-average-width' as string]: `${averageLegendWidth + 16}px`, // 16px is the marker width
 			}}
 		>
-			{searchEnabled && (
+			{position === LegendPosition.RIGHT && (
 				<div className="legend-search-container">
 					<Input
 						allowClear

frontend/src/lib/uPlotV2/components/Legend/UPlotLegend.tsx

@@ -1,41 +0,0 @@
-import { useMemo } from 'react';
-import useLegendsSync from 'lib/uPlotV2/hooks/useLegendsSync';
-
-import { useLegendActions } from '../../hooks/useLegendActions';
-import { LegendPosition, UPlotLegendProps } from '../types';
-
-import Legend from './Legend';
-
-/**
- * uPlot legend controller. Derives the legend items + focus/visibility state
- * from the chart config (useLegendsSync) and the toggle/focus interactions from
- * the plot context (useLegendActions), then renders the presentational Legend.
- * Must be rendered inside a PlotContextProvider.
- */
-export default function UPlotLegend({
-	position = LegendPosition.BOTTOM,
-	config,
-	averageLegendWidth,
-}: UPlotLegendProps): JSX.Element {
-	const { legendItemsMap, focusedSeriesIndex, setFocusedSeriesIndex } =
-		useLegendsSync({ config });
-	const { onLegendClick, onLegendMouseMove, onLegendMouseLeave } =
-		useLegendActions({
-			setFocusedSeriesIndex,
-			focusedSeriesIndex,
-		});
-
-	const items = useMemo(() => Object.values(legendItemsMap), [legendItemsMap]);
-
-	return (
-		<Legend
-			items={items}
-			position={position}
-			averageLegendWidth={averageLegendWidth}
-			focusedSeriesIndex={focusedSeriesIndex}
-			onClick={onLegendClick}
-			onMouseMove={onLegendMouseMove}
-			onMouseLeave={onLegendMouseLeave}
-		/>
-	);
-}

frontend/src/lib/uPlotV2/components/__tests__/Legend.test.tsx

@@ -7,12 +7,11 @@ import {
 	within,
 } from '@testing-library/react';
 import userEvent from '@testing-library/user-event';
-import { TooltipProvider } from '@signozhq/ui/tooltip';
 import { LegendItem } from 'lib/uPlotV2/config/types';
 import useLegendsSync from 'lib/uPlotV2/hooks/useLegendsSync';
 
 import { useLegendActions } from '../../hooks/useLegendActions';
-import UPlotLegend from '../Legend/UPlotLegend';
+import Legend from '../Legend/Legend';
 import { LegendPosition } from '../types';
 
 const mockWriteText = jest.fn().mockResolvedValue(undefined);
@@ -48,7 +47,7 @@ const mockUseLegendActions = useLegendActions as jest.MockedFunction<
 	typeof useLegendActions
 >;
 
-describe('UPlotLegend', () => {
+describe('Legend', () => {
 	beforeAll(() => {
 		// JSDOM does not define navigator.clipboard; add it so we can spy on writeText
 		Object.defineProperty(navigator, 'clipboard', {
@@ -116,13 +115,11 @@ describe('UPlotLegend', () => {
 
 	const renderLegend = (position?: LegendPosition): RenderResult =>
 		render(
-			<TooltipProvider>
-				<UPlotLegend
-					position={position}
-					// config is consumed by the mocked useLegendsSync hook, not directly
-					config={{} as any}
-				/>
-			</TooltipProvider>,
+			<Legend
+				position={position}
+				// config is not used directly in the component, it's consumed by the mocked hook
+				config={{} as any}
+			/>,
 		);
 
 	describe('layout and position', () => {

frontend/src/lib/uPlotV2/components/types.ts

@@ -1,10 +1,9 @@
-import { MouseEventHandler, ReactNode } from 'react';
+import { ReactNode } from 'react';
 import { Timezone } from 'components/CustomTimePicker/timezoneUtils';
 import { PrecisionOption } from 'components/Graph/types';
 import uPlot from 'uplot';
 
 import { UPlotConfigBuilder } from '../config/UPlotConfigBuilder';
-import { LegendItem } from '../config/types';
 import { SyncTooltipFilterMode } from '../plugins/TooltipPlugin/types';
 
 /**
@@ -110,33 +109,7 @@ export enum LegendPosition {
 export interface LegendConfig {
 	position: LegendPosition;
 }
-/**
- * Presentational legend props. Source-agnostic: it renders whatever `items`
- * it's given and delegates interaction to the container handlers, so it serves
- * both uPlot charts (via UPlotLegend) and non-uPlot charts (Pie). The search
- * box is intrinsic to the RIGHT position (derived from `position`, not a flag).
- */
 export interface LegendProps {
-	items: LegendItem[];
-	/** Legend placement; always supplied by the container. */
-	position: LegendPosition;
-	averageLegendWidth?: number;
-	/** Series index to highlight (hovered/focused). */
-	focusedSeriesIndex: number | null;
-	/**
-	 * Container-delegated handlers. Items carry `data-legend-item-id`, so the
-	 * handler reads the target's id rather than binding per item.
-	 */
-	onClick: MouseEventHandler<HTMLDivElement>;
-	onMouseMove: MouseEventHandler<HTMLDivElement>;
-	onMouseLeave: () => void;
-	/** Show the per-item copy button. Default true. */
-	showCopy?: boolean;
-}
-
-/** Props for the uPlot legend controller, which derives items + interaction
- * from the chart config and renders the presentational Legend. */
-export interface UPlotLegendProps {
 	position?: LegendPosition;
 	config: UPlotConfigBuilder;
 	averageLegendWidth?: number;

frontend/src/lib/uPlotV2/plugins/TooltipPlugin/types.ts

@@ -37,7 +37,7 @@ export interface TooltipViewState {
 	isHovering: boolean;
 	isPinned: boolean;
 	dismiss: () => void;
-	clickData: ChartClickData | null;
+	clickData: TooltipClickData | null;
 	contents?: ReactNode;
 }
 
@@ -59,17 +59,17 @@ export interface TooltipPluginProps {
 	/** Key that pins the tooltip while hovering. Defaults to DEFAULT_PIN_TOOLTIP_KEY ('l'). */
 	pinKey?: string;
 	/** Called when the user clicks the uPlot overlay. Receives resolved click data. */
-	onClick?: (clickData: ChartClickData) => void;
+	onClick?: (clickData: TooltipClickData) => void;
 	syncMode?: DashboardCursorSync;
 	syncKey?: string;
 	syncMetadata?: TooltipSyncMetadata;
 	render: (args: TooltipRenderArgs) => ReactNode;
-	pinnedTooltipElement?: (clickData: ChartClickData) => ReactNode;
+	pinnedTooltipElement?: (clickData: TooltipClickData) => ReactNode;
 	maxWidth?: number;
 	maxHeight?: number;
 }
 
-export interface ChartClickData {
+export interface TooltipClickData {
 	xValue: number;
 	yValue: number;
 	focusedSeries: {
@@ -101,7 +101,7 @@ export interface TooltipControllerState {
 	hoverActive: boolean;
 	isAnySeriesActive: boolean;
 	pinned: boolean;
-	clickData: ChartClickData | null;
+	clickData: TooltipClickData | null;
 	style: TooltipViewState['style'];
 	horizontalOffset: number;
 	verticalOffset: number;

frontend/src/lib/uPlotV2/plugins/TooltipPlugin/utils.ts

@@ -2,7 +2,7 @@ import { getFocusedSeriesAtPosition } from 'lib/uPlotLib/plugins/onClickPlugin';
 
 import {
 	TOOLTIP_OFFSET,
-	ChartClickData,
+	TooltipClickData,
 	TooltipLayoutInfo,
 	TooltipViewState,
 } from './types';
@@ -167,11 +167,14 @@ export function createLayoutObserver(
 }
 
 /**
- * Resolves a ChartClickData snapshot from a MouseEvent (real or synthetic)
+ * Resolves a TooltipClickData snapshot from a MouseEvent (real or synthetic)
  * and the current uPlot instance. Shared by the overlay click handler and the
  * keyboard-pin handler (which synthesises an event from the cursor position).
  */
-export function buildClickData(event: MouseEvent, plot: uPlot): ChartClickData {
+export function buildClickData(
+	event: MouseEvent,
+	plot: uPlot,
+): TooltipClickData {
 	const xValue = plot.posToVal(event.offsetX, 'x');
 	const yValue = plot.posToVal(event.offsetY, 'y');
 	const focusedSeries = getFocusedSeriesAtPosition(event, plot);

pkg/apiserver/signozapiserver/tracedetail.go

@@ -10,6 +10,25 @@ import (
 )
 
 func (provider *provider) addTraceDetailRoutes(router *mux.Router) error {
+	if err := router.Handle("/api/v3/traces/{traceID}/waterfall", handler.New(
+		provider.authzMiddleware.ViewAccess(provider.traceDetailHandler.GetWaterfall),
+		handler.OpenAPIDef{
+			ID:                  "GetWaterfall",
+			Tags:                []string{"tracedetail"},
+			Summary:             "Get waterfall view for a trace",
+			Description:         "Returns the waterfall view of spans for a given trace ID with tree structure, metadata, and windowed pagination",
+			Request:             new(spantypes.PostableWaterfall),
+			RequestContentType:  "application/json",
+			Response:            new(spantypes.GettableWaterfallTrace),
+			ResponseContentType: "application/json",
+			SuccessStatusCode:   http.StatusOK,
+			ErrorStatusCodes:    []int{http.StatusBadRequest, http.StatusNotFound},
+			SecuritySchemes:     newSecuritySchemes(types.RoleViewer),
+		},
+	)).Methods(http.MethodPost).GetError(); err != nil {
+		return err
+	}
+
 	if err := router.Handle("/api/v4/traces/{traceID}/waterfall", handler.New(
 		provider.authzMiddleware.ViewAccess(provider.traceDetailHandler.GetWaterfallV4),
 		handler.OpenAPIDef{

pkg/modules/cloudintegration/implcloudintegration/fs/definitions/azure/aks/icon.svg

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pkg/modules/cloudintegration/implcloudintegration/fs/definitions/azure/aks/integration.json

@@ -1,293 +0,0 @@
-{
-  "id": "aks",
-  "title": "Azure Kubernetes Service (AKS)",
-  "icon": "file://icon.svg",
-  "overview": "file://overview.md",
-  "supportedSignals": {
-    "metrics": true,
-    "logs": true
-  },
-  "dataCollected": {
-    "metrics": [
-      {
-        "name": "azure_kube_pod_status_ready_average",
-        "unit": "Count",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_kube_pod_status_ready_total",
-        "unit": "Count",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_kube_pod_status_phase_average",
-        "unit": "Count",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_kube_pod_status_phase_total",
-        "unit": "Count",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_kube_node_status_condition_average",
-        "unit": "Count",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_kube_node_status_condition_total",
-        "unit": "Count",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_node_cpu_usage_millicores_average",
-        "unit": "Count",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_node_cpu_usage_millicores_maximum",
-        "unit": "Count",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_node_cpu_usage_percentage_average",
-        "unit": "Percent",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_node_cpu_usage_percentage_maximum",
-        "unit": "Percent",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_node_disk_usage_bytes_average",
-        "unit": "Bytes",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_node_disk_usage_bytes_maximum",
-        "unit": "Bytes",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_node_disk_usage_percentage_average",
-        "unit": "Percent",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_node_disk_usage_percentage_maximum",
-        "unit": "Percent",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_node_memory_rss_bytes_average",
-        "unit": "Bytes",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_node_memory_rss_bytes_maximum",
-        "unit": "Bytes",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_node_memory_rss_percentage_average",
-        "unit": "Percent",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_node_memory_rss_percentage_maximum",
-        "unit": "Percent",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_node_memory_working_set_bytes_average",
-        "unit": "Bytes",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_node_memory_working_set_bytes_maximum",
-        "unit": "Bytes",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_node_memory_working_set_percentage_average",
-        "unit": "Percent",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_node_memory_working_set_percentage_maximum",
-        "unit": "Percent",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_node_network_in_bytes_average",
-        "unit": "Bytes",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_node_network_in_bytes_maximum",
-        "unit": "Bytes",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_node_network_out_bytes_average",
-        "unit": "Bytes",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_node_network_out_bytes_maximum",
-        "unit": "Bytes",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_apiserver_current_inflight_requests_average",
-        "unit": "Count",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_apiserver_current_inflight_requests_total",
-        "unit": "Count",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_apiserver_cpu_usage_percentage_average",
-        "unit": "Percent",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_apiserver_cpu_usage_percentage_maximum",
-        "unit": "Percent",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_apiserver_memory_usage_percentage_average",
-        "unit": "Percent",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_apiserver_memory_usage_percentage_maximum",
-        "unit": "Percent",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_etcd_cpu_usage_percentage_average",
-        "unit": "Percent",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_etcd_cpu_usage_percentage_maximum",
-        "unit": "Percent",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_etcd_database_usage_percentage_average",
-        "unit": "Percent",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_etcd_database_usage_percentage_maximum",
-        "unit": "Percent",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_etcd_memory_usage_percentage_average",
-        "unit": "Percent",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_etcd_memory_usage_percentage_maximum",
-        "unit": "Percent",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_kube_node_status_allocatable_cpu_cores_average",
-        "unit": "Count",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_kube_node_status_allocatable_cpu_cores_total",
-        "unit": "Count",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_kube_node_status_allocatable_memory_bytes_average",
-        "unit": "Bytes",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_kube_node_status_allocatable_memory_bytes_total",
-        "unit": "Bytes",
-        "type": "Gauge",
-        "description": ""
-      }
-    ],
-    "logs": [
-      {
-        "name": "Resource ID",
-        "path": "resources.azure.resource.id",
-        "type": "string"
-      }
-    ]
-  },
-  "telemetryCollectionStrategy": {
-    "azure": {
-      "resourceProvider": "Microsoft.ContainerService",
-      "resourceType": "managedClusters",
-      "metrics": {},
-      "logs": {
-        "categoryGroups": ["allLogs"]
-      }
-    }
-  },
-  "assets": {
-    "dashboards": [
-      {
-        "id": "overview",
-        "title": "Azure Kubernetes Service (AKS) Overview",
-        "description": "Overview of Azure Kubernetes Service (AKS) metrics",
-        "definition": "file://assets/dashboards/overview.json"
-      }
-    ]
-  }
-}

pkg/modules/cloudintegration/implcloudintegration/fs/definitions/azure/aks/overview.md

@@ -1,5 +0,0 @@
-### Monitor Azure Kubernetes Service (AKS) with SigNoz
-
-Collect key AKS metrics and view them with an out of the box dashboard.
-
-Note: This integration is only for AKS with resource type `Microsoft.ContainerService/managedClusters`.

pkg/modules/cloudintegration/implcloudintegration/fs/definitions/azure/containerapp/icon.svg

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pkg/modules/cloudintegration/implcloudintegration/fs/definitions/azure/containerapp/integration.json

@@ -1,263 +0,0 @@
-{
-  "id": "containerapp",
-  "title": "Container App",
-  "icon": "file://icon.svg",
-  "overview": "file://overview.md",
-  "supportedSignals": {
-    "metrics": true,
-    "logs": true
-  },
-  "dataCollected": {
-    "metrics": [
-      {
-        "name": "azure_rxbytes_average",
-        "unit": "Bytes",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_rxbytes_maximum",
-        "unit": "Bytes",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_rxbytes_minimum",
-        "unit": "Bytes",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_rxbytes_total",
-        "unit": "Bytes",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_txbytes_average",
-        "unit": "Bytes",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_txbytes_maximum",
-        "unit": "Bytes",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_txbytes_minimum",
-        "unit": "Bytes",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_txbytes_total",
-        "unit": "Bytes",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_restartcount_average",
-        "unit": "Count",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_restartcount_maximum",
-        "unit": "Count",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_restartcount_minimum",
-        "unit": "Count",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_restartcount_total",
-        "unit": "Count",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_replicas_average",
-        "unit": "Count",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_replicas_maximum",
-        "unit": "Count",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_replicas_minimum",
-        "unit": "Count",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_replicas_total",
-        "unit": "Count",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_cpupercentage_average",
-        "unit": "Percent",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_cpupercentage_maximum",
-        "unit": "Percent",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_cpupercentage_minimum",
-        "unit": "Percent",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_cpupercentage_total",
-        "unit": "Percent",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_memorypercentage_average",
-        "unit": "Percent",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_memorypercentage_maximum",
-        "unit": "Percent",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_memorypercentage_minimum",
-        "unit": "Percent",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_memorypercentage_total",
-        "unit": "Percent",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_usagenanocores_average",
-        "unit": "Count",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_usagenanocores_maximum",
-        "unit": "Count",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_usagenanocores_minimum",
-        "unit": "Count",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_usagenanocores_total",
-        "unit": "Count",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_workingsetbytes_average",
-        "unit": "Bytes",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_workingsetbytes_maximum",
-        "unit": "Bytes",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_workingsetbytes_minimum",
-        "unit": "Bytes",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_workingsetbytes_total",
-        "unit": "Bytes",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_coresquotaused_maximum",
-        "unit": "Count",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_coresquotaused_minimum",
-        "unit": "Count",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_totalcoresquotaused_average",
-        "unit": "Count",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_totalcoresquotaused_maximum",
-        "unit": "Count",
-        "type": "Gauge",
-        "description": ""
-      },
-      {
-        "name": "azure_totalcoresquotaused_minimum",
-        "unit": "Count",
-        "type": "Gauge",
-        "description": ""
-      }
-    ],
-    "logs": [
-      {
-        "name": "Resource ID",
-        "path": "resources.azure.resource.id",
-        "type": "string"
-      }
-    ]
-  },
-  "telemetryCollectionStrategy": {
-    "azure": {
-      "resourceProvider": "Microsoft.App",
-      "resourceType": "containerApps",
-      "metrics": {},
-      "logs": {
-        "categoryGroups": ["ContainerAppConsoleLogs", "ContainerAppSystemLogs"]
-      }
-    }
-  },
-  "assets": {
-    "dashboards": [
-      {
-        "id": "overview",
-        "title": "Container App Overview",
-        "description": "Overview of Container App metrics",
-        "definition": "file://assets/dashboards/overview.json"
-      }
-    ]
-  }
-}

pkg/modules/cloudintegration/implcloudintegration/fs/definitions/azure/containerapp/overview.md

@@ -1,7 +0,0 @@
-### Monitor Container Apps with SigNoz
-
-Collect key Container App metrics and view them with an out of the box dashboard.
-
-To collect logs, you need to make sure that you have chosen "Azure Monitor" as the logging option for Container's App Environment.
-
-Note: This integration ingests logs for only "ContainerAppConsoleLogs" and "ContainerAppSystemLogs" diagnostic settings categories.

pkg/modules/metricsexplorer/implmetricsexplorer/module.go

@@ -219,7 +219,19 @@ func (m *module) GetStats(ctx context.Context, orgID valuer.UUID, req *metricsex
 		return nil, err
 	}
 
-	metricStats, total, err := m.fetchMetricsStatsWithSamples(ctx, req, false)
+	filterWhereClause, err := m.buildFilterClause(ctx, req.Filter, req.Start, req.End)
+	if err != nil {
+		return nil, err
+	}
+
+	// Single query to get stats with samples, timeseries counts in required sorting order
+	metricStats, total, err := m.fetchMetricsStatsWithSamples(
+		ctx,
+		req,
+		filterWhereClause,
+		false,
+		req.OrderBy,
+	)
 	if err != nil {
 		return nil, err
 	}
@@ -256,16 +268,21 @@ func (m *module) GetTreemap(ctx context.Context, orgID valuer.UUID, req *metrics
 		return nil, err
 	}
 
+	filterWhereClause, err := m.buildFilterClause(ctx, req.Filter, req.Start, req.End)
+	if err != nil {
+		return nil, err
+	}
+
 	resp := &metricsexplorertypes.TreemapResponse{}
 	switch req.Mode {
 	case metricsexplorertypes.TreemapModeSamples:
-		entries, err := m.computeSamplesTreemap(ctx, req)
+		entries, err := m.computeSamplesTreemap(ctx, req, filterWhereClause)
 		if err != nil {
 			return nil, err
 		}
 		resp.Samples = entries
 	default: // TreemapModeTimeSeries
-		entries, err := m.computeTimeseriesTreemap(ctx, req)
+		entries, err := m.computeTimeseriesTreemap(ctx, req, filterWhereClause)
 		if err != nil {
 			return nil, err
 		}
@@ -957,23 +974,15 @@ func (m *module) buildFilterClause(ctx context.Context, filter *qbtypes.Filter,
 func (m *module) fetchMetricsStatsWithSamples(
 	ctx context.Context,
 	req *metricsexplorertypes.StatsRequest,
+	filterWhereClause *sqlbuilder.WhereClause,
 	normalized bool,
+	orderBy *qbtypes.OrderBy,
 ) ([]metricsexplorertypes.Stat, uint64, error) {
 	ctx = m.withMetricsExplorerContext(ctx, "fetchMetricsStatsWithSamples")
 
-	hasFilter := req.Filter != nil && strings.TrimSpace(req.Filter.Expression) != ""
-	var filterWhereClause *sqlbuilder.WhereClause
-	if hasFilter {
-		var err error
-		filterWhereClause, err = m.buildFilterClause(ctx, req.Filter, req.Start, req.End)
-		if err != nil {
-			return nil, 0, err
-		}
-	}
-
 	start, end, distributedTsTable, localTsTable := telemetrymetrics.WhichTSTableToUse(uint64(req.Start), uint64(req.End), nil)
-	distributedSamplesTable, _ := telemetrymetrics.WhichSamplesTableToUse(uint64(req.Start), uint64(req.End), metrictypes.UnspecifiedType, metrictypes.TimeAggregationUnspecified, nil)
-	countExp := telemetrymetrics.CountExpressionForSamplesTable(distributedSamplesTable)
+	samplesTable, _ := telemetrymetrics.WhichSamplesTableToUse(uint64(req.Start), uint64(req.End), metrictypes.UnspecifiedType, metrictypes.TimeAggregationUnspecified, nil)
+	countExp := telemetrymetrics.CountExpressionForSamplesTable(samplesTable)
 
 	// Timeseries counts per metric
 	tsSB := sqlbuilder.NewSelectBuilder()
@@ -996,7 +1005,7 @@ func (m *module) fetchMetricsStatsWithSamples(
 		"metric_name",
 		fmt.Sprintf("%s AS samples", countExp),
 	)
-	samplesSB.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, distributedSamplesTable))
+	samplesSB.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, samplesTable))
 	samplesSB.Where(samplesSB.Between("unix_milli", req.Start, req.End))
 	samplesSB.Where("NOT startsWith(metric_name, 'signoz')")
 
@@ -1004,8 +1013,6 @@ func (m *module) fetchMetricsStatsWithSamples(
 		sqlbuilder.CTEQuery("__time_series_counts").As(tsSB),
 	}
 
-	// Narrow samples scan. With filter: fingerprint IN (per-fingerprint label preds can't fold to metric_name).
-	// No filter (fast path): metric_name IN — aligns with samples table's leading sort key, orders of magnitude cheaper.
 	if filterWhereClause != nil {
 		fingerprintSB := sqlbuilder.NewSelectBuilder()
 		fingerprintSB.Select("fingerprint")
@@ -1018,15 +1025,6 @@ func (m *module) fetchMetricsStatsWithSamples(
 
 		ctes = append(ctes, sqlbuilder.CTEQuery("__filtered_fingerprints").As(fingerprintSB))
 		samplesSB.Where("fingerprint IN (SELECT fingerprint FROM __filtered_fingerprints)")
-	} else {
-		metricNamesSB := sqlbuilder.NewSelectBuilder()
-		metricNamesSB.Select("DISTINCT metric_name")
-		metricNamesSB.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, localTsTable))
-		metricNamesSB.Where(metricNamesSB.Between("unix_milli", start, end))
-		metricNamesSB.Where("NOT startsWith(metric_name, 'signoz')")
-		metricNamesSB.Where(metricNamesSB.E("__normalized", normalized))
-
-		samplesSB.Where(fmt.Sprintf("metric_name IN (%s)", samplesSB.Var(metricNamesSB)))
 	}
 	samplesSB.GroupBy("metric_name")
 
@@ -1043,7 +1041,7 @@ func (m *module) fetchMetricsStatsWithSamples(
 	finalSB.JoinWithOption(sqlbuilder.FullOuterJoin, "__sample_counts s", "ts.metric_name = s.metric_name")
 	finalSB.Where("(COALESCE(ts.timeseries, 0) > 0 OR COALESCE(s.samples, 0) > 0)")
 
-	orderByColumn, orderDirection, err := getStatsOrderByColumn(req.OrderBy)
+	orderByColumn, orderDirection, err := getStatsOrderByColumn(orderBy)
 	if err != nil {
 		return nil, 0, err
 	}
@@ -1087,19 +1085,9 @@ func (m *module) fetchMetricsStatsWithSamples(
 	return metricStats, total, nil
 }
 
-func (m *module) computeTimeseriesTreemap(ctx context.Context, req *metricsexplorertypes.TreemapRequest) ([]metricsexplorertypes.TreemapEntry, error) {
+func (m *module) computeTimeseriesTreemap(ctx context.Context, req *metricsexplorertypes.TreemapRequest, filterWhereClause *sqlbuilder.WhereClause) ([]metricsexplorertypes.TreemapEntry, error) {
 	ctx = m.withMetricsExplorerContext(ctx, "computeTimeseriesTreemap")
 
-	hasFilter := req.Filter != nil && strings.TrimSpace(req.Filter.Expression) != ""
-	var filterWhereClause *sqlbuilder.WhereClause
-	if hasFilter {
-		var err error
-		filterWhereClause, err = m.buildFilterClause(ctx, req.Filter, req.Start, req.End)
-		if err != nil {
-			return nil, err
-		}
-	}
-
 	start, end, distributedTsTable, _ := telemetrymetrics.WhichTSTableToUse(uint64(req.Start), uint64(req.End), nil)
 
 	totalTSBuilder := sqlbuilder.NewSelectBuilder()
@@ -1163,22 +1151,12 @@ func (m *module) computeTimeseriesTreemap(ctx context.Context, req *metricsexplo
 	return entries, nil
 }
 
-func (m *module) computeSamplesTreemap(ctx context.Context, req *metricsexplorertypes.TreemapRequest) ([]metricsexplorertypes.TreemapEntry, error) {
+func (m *module) computeSamplesTreemap(ctx context.Context, req *metricsexplorertypes.TreemapRequest, filterWhereClause *sqlbuilder.WhereClause) ([]metricsexplorertypes.TreemapEntry, error) {
 	ctx = m.withMetricsExplorerContext(ctx, "computeSamplesTreemap")
 
-	hasFilter := req.Filter != nil && strings.TrimSpace(req.Filter.Expression) != ""
-	var filterWhereClause *sqlbuilder.WhereClause
-	if hasFilter {
-		var err error
-		filterWhereClause, err = m.buildFilterClause(ctx, req.Filter, req.Start, req.End)
-		if err != nil {
-			return nil, err
-		}
-	}
-
 	start, end, distributedTsTable, localTsTable := telemetrymetrics.WhichTSTableToUse(uint64(req.Start), uint64(req.End), nil)
-	distributedSamplesTable, _ := telemetrymetrics.WhichSamplesTableToUse(uint64(req.Start), uint64(req.End), metrictypes.UnspecifiedType, metrictypes.TimeAggregationUnspecified, nil)
-	countExp := telemetrymetrics.CountExpressionForSamplesTable(distributedSamplesTable)
+	samplesTable, _ := telemetrymetrics.WhichSamplesTableToUse(uint64(req.Start), uint64(req.End), metrictypes.UnspecifiedType, metrictypes.TimeAggregationUnspecified, nil)
+	countExp := telemetrymetrics.CountExpressionForSamplesTable(samplesTable)
 
 	candidateLimit := req.Limit + 50
 
@@ -1201,7 +1179,7 @@ func (m *module) computeSamplesTreemap(ctx context.Context, req *metricsexplorer
 
 	totalSamplesSB := sqlbuilder.NewSelectBuilder()
 	totalSamplesSB.Select(fmt.Sprintf("%s AS total_samples", countExp))
-	totalSamplesSB.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, distributedSamplesTable))
+	totalSamplesSB.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, samplesTable))
 	totalSamplesSB.Where(totalSamplesSB.Between("unix_milli", req.Start, req.End))
 
 	sampleCountsSB := sqlbuilder.NewSelectBuilder()
@@ -1209,7 +1187,7 @@ func (m *module) computeSamplesTreemap(ctx context.Context, req *metricsexplorer
 		"metric_name",
 		fmt.Sprintf("%s AS samples", countExp),
 	)
-	sampleCountsSB.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, distributedSamplesTable))
+	sampleCountsSB.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, samplesTable))
 	sampleCountsSB.Where(sampleCountsSB.Between("unix_milli", req.Start, req.End))
 	sampleCountsSB.Where("metric_name GLOBAL IN (SELECT metric_name FROM __metric_candidates)")
 

pkg/modules/metricsexplorer/implmetricsexplorer/module_test.go

@@ -1,270 +0,0 @@
-package implmetricsexplorer_test
-
-import (
-	"context"
-	"regexp"
-	"testing"
-
-	"github.com/DATA-DOG/go-sqlmock"
-	cmock "github.com/SigNoz/clickhouse-go-mock"
-	"github.com/SigNoz/signoz/pkg/cache"
-	"github.com/SigNoz/signoz/pkg/cache/cachetest"
-	"github.com/SigNoz/signoz/pkg/errors"
-	"github.com/SigNoz/signoz/pkg/instrumentation/instrumentationtest"
-	"github.com/SigNoz/signoz/pkg/modules/metricsexplorer"
-	"github.com/SigNoz/signoz/pkg/modules/metricsexplorer/implmetricsexplorer"
-	"github.com/SigNoz/signoz/pkg/telemetrystore"
-	"github.com/SigNoz/signoz/pkg/telemetrystore/telemetrystoretest"
-	"github.com/SigNoz/signoz/pkg/types/metricsexplorertypes"
-	qbtypes "github.com/SigNoz/signoz/pkg/types/querybuildertypes/querybuildertypesv5"
-	"github.com/SigNoz/signoz/pkg/types/telemetrytypes"
-	"github.com/SigNoz/signoz/pkg/types/telemetrytypes/telemetrytypestest"
-	"github.com/SigNoz/signoz/pkg/valuer"
-	"github.com/stretchr/testify/assert"
-)
-
-const (
-	// fixed, deterministic time window (range < 6h so the table selectors resolve
-	// to stable table names that the expected SQL strings can hard-code).
-	testStartMillis                int64 = 1700000000000
-	testEndMillis                  int64 = 1700003600000 // +1h
-	statsNoFilterSQL                     = "WITH __time_series_counts AS (SELECT metric_name, uniq(fingerprint) AS timeseries FROM signoz_metrics.distributed_time_series_v4 WHERE unix_milli BETWEEN ? AND ? AND NOT startsWith(metric_name, 'signoz') AND __normalized = ? GROUP BY metric_name), __sample_counts AS (SELECT metric_name, count(*) AS samples FROM signoz_metrics.distributed_samples_v4 WHERE unix_milli BETWEEN ? AND ? AND NOT startsWith(metric_name, 'signoz') AND metric_name IN (SELECT DISTINCT metric_name FROM signoz_metrics.time_series_v4 WHERE unix_milli BETWEEN ? AND ? AND NOT startsWith(metric_name, 'signoz') AND __normalized = ?) GROUP BY metric_name) SELECT COALESCE(ts.metric_name, s.metric_name) AS metric_name, COALESCE(ts.timeseries, 0) AS timeseries, COALESCE(s.samples, 0) AS samples, COUNT(*) OVER() AS total FROM __time_series_counts ts FULL OUTER JOIN __sample_counts s ON ts.metric_name = s.metric_name WHERE (COALESCE(ts.timeseries, 0) > 0 OR COALESCE(s.samples, 0) > 0) ORDER BY samples DESC, metric_name ASC LIMIT ? OFFSET ?"
-	statsOrderTimeseriesSQL              = "WITH __time_series_counts AS (SELECT metric_name, uniq(fingerprint) AS timeseries FROM signoz_metrics.distributed_time_series_v4 WHERE unix_milli BETWEEN ? AND ? AND NOT startsWith(metric_name, 'signoz') AND __normalized = ? GROUP BY metric_name), __sample_counts AS (SELECT metric_name, count(*) AS samples FROM signoz_metrics.distributed_samples_v4 WHERE unix_milli BETWEEN ? AND ? AND NOT startsWith(metric_name, 'signoz') AND metric_name IN (SELECT DISTINCT metric_name FROM signoz_metrics.time_series_v4 WHERE unix_milli BETWEEN ? AND ? AND NOT startsWith(metric_name, 'signoz') AND __normalized = ?) GROUP BY metric_name) SELECT COALESCE(ts.metric_name, s.metric_name) AS metric_name, COALESCE(ts.timeseries, 0) AS timeseries, COALESCE(s.samples, 0) AS samples, COUNT(*) OVER() AS total FROM __time_series_counts ts FULL OUTER JOIN __sample_counts s ON ts.metric_name = s.metric_name WHERE (COALESCE(ts.timeseries, 0) > 0 OR COALESCE(s.samples, 0) > 0) ORDER BY timeseries ASC, metric_name ASC LIMIT ? OFFSET ?"
-	statsWithFilterSQL                   = "WITH __time_series_counts AS (SELECT metric_name, uniq(fingerprint) AS timeseries FROM signoz_metrics.distributed_time_series_v4 WHERE unix_milli BETWEEN ? AND ? AND NOT startsWith(metric_name, 'signoz') AND __normalized = ? AND JSONExtractString(labels, 'host.name') = ? GROUP BY metric_name), __filtered_fingerprints AS (SELECT fingerprint FROM signoz_metrics.time_series_v4 WHERE unix_milli BETWEEN ? AND ? AND NOT startsWith(metric_name, 'signoz') AND __normalized = ? AND JSONExtractString(labels, 'host.name') = ? GROUP BY fingerprint), __sample_counts AS (SELECT metric_name, count(*) AS samples FROM signoz_metrics.distributed_samples_v4 WHERE unix_milli BETWEEN ? AND ? AND NOT startsWith(metric_name, 'signoz') AND fingerprint IN (SELECT fingerprint FROM __filtered_fingerprints) GROUP BY metric_name) SELECT COALESCE(ts.metric_name, s.metric_name) AS metric_name, COALESCE(ts.timeseries, 0) AS timeseries, COALESCE(s.samples, 0) AS samples, COUNT(*) OVER() AS total FROM __time_series_counts ts FULL OUTER JOIN __sample_counts s ON ts.metric_name = s.metric_name WHERE (COALESCE(ts.timeseries, 0) > 0 OR COALESCE(s.samples, 0) > 0) ORDER BY samples DESC, metric_name ASC LIMIT ? OFFSET ?"
-	treemapTimeseriesNoFilterSQL         = "WITH __total_time_series AS (SELECT uniq(fingerprint) AS total_time_series FROM signoz_metrics.distributed_time_series_v4 WHERE unix_milli BETWEEN ? AND ? AND __normalized = ?), __metric_totals AS (SELECT metric_name, uniq(fingerprint) AS total_value FROM signoz_metrics.distributed_time_series_v4 WHERE unix_milli BETWEEN ? AND ? AND NOT startsWith(metric_name, 'signoz') AND __normalized = ? GROUP BY metric_name) SELECT mt.metric_name, mt.total_value, CASE WHEN tts.total_time_series = 0 THEN 0 ELSE (mt.total_value * 100.0 / tts.total_time_series) END AS percentage FROM __metric_totals mt JOIN __total_time_series tts ON 1=1 ORDER BY percentage DESC LIMIT ?"
-	treemapTimeseriesWithFilterSQL       = "WITH __total_time_series AS (SELECT uniq(fingerprint) AS total_time_series FROM signoz_metrics.distributed_time_series_v4 WHERE unix_milli BETWEEN ? AND ? AND __normalized = ?), __metric_totals AS (SELECT metric_name, uniq(fingerprint) AS total_value FROM signoz_metrics.distributed_time_series_v4 WHERE unix_milli BETWEEN ? AND ? AND NOT startsWith(metric_name, 'signoz') AND __normalized = ? AND JSONExtractString(labels, 'host.name') = ? GROUP BY metric_name) SELECT mt.metric_name, mt.total_value, CASE WHEN tts.total_time_series = 0 THEN 0 ELSE (mt.total_value * 100.0 / tts.total_time_series) END AS percentage FROM __metric_totals mt JOIN __total_time_series tts ON 1=1 ORDER BY percentage DESC LIMIT ?"
-	treemapSamplesNoFilterSQL            = "WITH __metric_candidates AS (SELECT metric_name FROM signoz_metrics.distributed_time_series_v4 WHERE NOT startsWith(metric_name, 'signoz') AND __normalized = ? AND unix_milli BETWEEN ? AND ? GROUP BY metric_name ORDER BY uniq(fingerprint) DESC LIMIT ?), __sample_counts AS (SELECT metric_name, count(*) AS samples FROM signoz_metrics.distributed_samples_v4 WHERE unix_milli BETWEEN ? AND ? AND metric_name GLOBAL IN (SELECT metric_name FROM __metric_candidates) GROUP BY metric_name), __total_samples AS (SELECT count(*) AS total_samples FROM signoz_metrics.distributed_samples_v4 WHERE unix_milli BETWEEN ? AND ?) SELECT mc.metric_name, COALESCE(sc.samples, 0) AS samples, CASE WHEN ts.total_samples = 0 THEN 0 ELSE (COALESCE(sc.samples, 0) * 100.0 / ts.total_samples) END AS percentage FROM __metric_candidates mc LEFT JOIN __sample_counts sc ON mc.metric_name = sc.metric_name JOIN __total_samples ts ON 1=1 ORDER BY percentage DESC LIMIT ?"
-	treemapSamplesWithFilterSQL          = "WITH __metric_candidates AS (SELECT metric_name FROM signoz_metrics.distributed_time_series_v4 WHERE NOT startsWith(metric_name, 'signoz') AND __normalized = ? AND unix_milli BETWEEN ? AND ? AND JSONExtractString(labels, 'host.name') = ? GROUP BY metric_name ORDER BY uniq(fingerprint) DESC LIMIT ?), __filtered_fingerprints AS (SELECT fingerprint FROM signoz_metrics.time_series_v4 WHERE unix_milli BETWEEN ? AND ? AND NOT startsWith(metric_name, 'signoz') AND __normalized = ? AND JSONExtractString(labels, 'host.name') = ? AND metric_name GLOBAL IN (SELECT metric_name FROM __metric_candidates) GROUP BY fingerprint), __sample_counts AS (SELECT metric_name, count(*) AS samples FROM signoz_metrics.distributed_samples_v4 WHERE unix_milli BETWEEN ? AND ? AND metric_name GLOBAL IN (SELECT metric_name FROM __metric_candidates) AND fingerprint IN (SELECT fingerprint FROM __filtered_fingerprints) GROUP BY metric_name), __total_samples AS (SELECT count(*) AS total_samples FROM signoz_metrics.distributed_samples_v4 WHERE unix_milli BETWEEN ? AND ?) SELECT mc.metric_name, COALESCE(sc.samples, 0) AS samples, CASE WHEN ts.total_samples = 0 THEN 0 ELSE (COALESCE(sc.samples, 0) * 100.0 / ts.total_samples) END AS percentage FROM __metric_candidates mc LEFT JOIN __sample_counts sc ON mc.metric_name = sc.metric_name JOIN __total_samples ts ON 1=1 ORDER BY percentage DESC LIMIT ?"
-)
-
-var testOrgID = valuer.GenerateUUID()
-
-type statsOpt func(*metricsexplorertypes.StatsRequest)
-
-type treemapOpt func(*metricsexplorertypes.TreemapRequest)
-
-// newTestModule builds the metricsexplorer module backed by a mocked clickhouse
-// connection, a mock metadata store, and an in-memory cache.
-func newTestModule(t *testing.T, matcher sqlmock.QueryMatcher) (metricsexplorer.Module, cmock.ClickConnMockCommon, *telemetrytypestest.MockMetadataStore) {
-	t.Helper()
-
-	ts := telemetrystoretest.New(telemetrystore.Config{}, matcher)
-	md := telemetrytypestest.NewMockMetadataStore()
-	c, err := cachetest.New(cache.Config{Provider: "memory", Memory: cache.Memory{NumCounters: 1000, MaxCost: 1 << 20}})
-	if err != nil {
-		t.Fatalf("cachetest.New: %v", err)
-	}
-
-	settings := instrumentationtest.New().ToProviderSettings()
-	mod := implmetricsexplorer.NewModule(ts, md, c, nil /*ruleStore*/, nil /*dashboardModule*/, settings, metricsexplorer.Config{})
-
-	return mod, ts.Mock(), md
-}
-
-func statsRequest(opts ...statsOpt) *metricsexplorertypes.StatsRequest {
-	req := &metricsexplorertypes.StatsRequest{
-		Start: testStartMillis,
-		End:   testEndMillis,
-		Limit: 10,
-	}
-	for _, o := range opts {
-		o(req)
-	}
-	return req
-}
-
-func withStatsFilter(expr string) statsOpt {
-	return func(req *metricsexplorertypes.StatsRequest) {
-		req.Filter = &qbtypes.Filter{Expression: expr}
-	}
-}
-
-func withStatsLimit(limit int) statsOpt {
-	return func(req *metricsexplorertypes.StatsRequest) {
-		req.Limit = limit
-	}
-}
-
-func withStatsOrderBy(name string, dir qbtypes.OrderDirection) statsOpt {
-	return func(req *metricsexplorertypes.StatsRequest) {
-		req.OrderBy = &qbtypes.OrderBy{
-			Key:       qbtypes.OrderByKey{TelemetryFieldKey: telemetrytypes.TelemetryFieldKey{Name: name}},
-			Direction: dir,
-		}
-	}
-}
-
-func treemapRequest(mode metricsexplorertypes.TreemapMode, opts ...treemapOpt) *metricsexplorertypes.TreemapRequest {
-	req := &metricsexplorertypes.TreemapRequest{
-		Start: testStartMillis,
-		End:   testEndMillis,
-		Limit: 10,
-		Mode:  mode,
-	}
-	for _, o := range opts {
-		o(req)
-	}
-	return req
-}
-
-func withTreemapFilter(expr string) treemapOpt {
-	return func(req *metricsexplorertypes.TreemapRequest) {
-		req.Filter = &qbtypes.Filter{Expression: expr}
-	}
-}
-
-// seedFilterKey registers a string attribute field so buildFilterClause can
-// resolve it when parsing a filter expression that references it.
-func seedFilterKey(md *telemetrytypestest.MockMetadataStore, name string) {
-	md.KeysMap[name] = []*telemetrytypes.TelemetryFieldKey{
-		{
-			Name:          name,
-			Signal:        telemetrytypes.SignalMetrics,
-			FieldContext:  telemetrytypes.FieldContextAttribute,
-			FieldDataType: telemetrytypes.FieldDataTypeString,
-		},
-	}
-}
-
-// anyArgs returns n nil wildcards. cmock treats a nil expected arg as a match
-// for any actual value, so this asserts only the bound-arg count, not values
-// (the SQL text itself is what we verify). The count must match the query.
-func anyArgs(n int) []any {
-	return make([]any, n)
-}
-
-func treemapEntryRows() *cmock.Rows {
-	return cmock.NewRows(
-		[]cmock.ColumnType{
-			{Name: "metric_name", Type: "String"},
-			{Name: "total_value", Type: "UInt64"},
-			{Name: "percentage", Type: "Float64"},
-		},
-		[][]any{
-			{"metric_a", uint64(50), 50.0},
-			{"metric_b", uint64(30), 30.0},
-		},
-	)
-}
-
-func TestGetStats(t *testing.T) {
-	tests := []struct {
-		name      string
-		opts      []statsOpt
-		seedKey   string
-		queryErr  error
-		expectSQL string
-		argCount  int
-		noQuery   bool // SQL never reaches clickhouse (validation/build error)
-		wantCode  errors.Code
-	}{
-		{name: "NoFilter_FastPathSQL", expectSQL: statsNoFilterSQL, argCount: 10},
-		{name: "WhitespaceFilter_FastPathSQL", opts: []statsOpt{withStatsFilter("   ")}, expectSQL: statsNoFilterSQL, argCount: 10},
-		{name: "WithFilter_FingerprintSQL", opts: []statsOpt{withStatsFilter("host.name = 'foo'")}, seedKey: "host.name", expectSQL: statsWithFilterSQL, argCount: 12},
-		{name: "OrderByTimeseriesAsc", opts: []statsOpt{withStatsOrderBy("timeseries", qbtypes.OrderDirectionAsc)}, expectSQL: statsOrderTimeseriesSQL, argCount: 10},
-		{name: "OrderByInvalid", opts: []statsOpt{withStatsOrderBy("nonsense", qbtypes.OrderDirectionAsc)}, noQuery: true, wantCode: errors.CodeInvalidInput},
-		{name: "QueryError", queryErr: assert.AnError, expectSQL: statsNoFilterSQL, argCount: 10, wantCode: errors.CodeInternal},
-		{name: "InvalidRequest_Limit", opts: []statsOpt{withStatsLimit(0)}, noQuery: true, wantCode: errors.CodeInvalidInput},
-	}
-
-	for _, tc := range tests {
-		t.Run(tc.name, func(t *testing.T) {
-			mod, mock, md := newTestModule(t, sqlmock.QueryMatcherRegexp)
-			if tc.seedKey != "" {
-				seedFilterKey(md, tc.seedKey)
-			}
-
-			if !tc.noQuery {
-				eq := mock.ExpectQuery(regexp.QuoteMeta(tc.expectSQL)).WithArgs(anyArgs(tc.argCount)...)
-				if tc.queryErr != nil {
-					eq.WillReturnError(tc.queryErr)
-				} else {
-					eq.WillReturnRows(cmock.NewRows(nil, nil))
-				}
-			}
-
-			_, err := mod.GetStats(context.Background(), testOrgID, statsRequest(tc.opts...))
-			if tc.wantCode.String() != "" {
-				assert.Error(t, err)
-				assert.Truef(t, errors.Asc(err, tc.wantCode), "want code %s, got %v", tc.wantCode, err)
-				return
-			}
-			assert.NoError(t, err)
-			assert.NoError(t, mock.ExpectationsWereMet())
-		})
-	}
-}
-
-func TestGetTreemap(t *testing.T) {
-	wantEntries := []metricsexplorertypes.TreemapEntry{
-		{MetricName: "metric_a", TotalValue: 50, Percentage: 50.0},
-		{MetricName: "metric_b", TotalValue: 30, Percentage: 30.0},
-	}
-
-	tests := []struct {
-		name        string
-		mode        metricsexplorertypes.TreemapMode
-		opts        []treemapOpt
-		seedKey     string
-		queryErr    error
-		expectSQL   string
-		argCount    int
-		rows        *cmock.Rows
-		wantSamples []metricsexplorertypes.TreemapEntry
-		wantTS      []metricsexplorertypes.TreemapEntry
-		noQuery     bool
-		wantCode    errors.Code
-		wantErr     bool
-	}{
-		{name: "TimeSeries_NoFilter_SQL", mode: metricsexplorertypes.TreemapModeTimeSeries, expectSQL: treemapTimeseriesNoFilterSQL, argCount: 7},
-		{name: "TimeSeries_WithFilter_SQL", mode: metricsexplorertypes.TreemapModeTimeSeries, opts: []treemapOpt{withTreemapFilter("host.name = 'foo'")}, seedKey: "host.name", expectSQL: treemapTimeseriesWithFilterSQL, argCount: 8},
-		{name: "TimeSeries_ScansEntries", mode: metricsexplorertypes.TreemapModeTimeSeries, expectSQL: treemapTimeseriesNoFilterSQL, argCount: 7, rows: treemapEntryRows(), wantTS: wantEntries},
-		{name: "Samples_NoFilter_SQL", mode: metricsexplorertypes.TreemapModeSamples, expectSQL: treemapSamplesNoFilterSQL, argCount: 9},
-		{name: "Samples_WithFilter_SQL", mode: metricsexplorertypes.TreemapModeSamples, opts: []treemapOpt{withTreemapFilter("host.name = 'foo'")}, seedKey: "host.name", expectSQL: treemapSamplesWithFilterSQL, argCount: 14},
-		{name: "Samples_ScansEntries", mode: metricsexplorertypes.TreemapModeSamples, expectSQL: treemapSamplesNoFilterSQL, argCount: 9, rows: treemapEntryRows(), wantSamples: wantEntries},
-		{name: "FilterBuildError", mode: metricsexplorertypes.TreemapModeTimeSeries, opts: []treemapOpt{withTreemapFilter("host.name =")}, noQuery: true, wantErr: true},
-		{name: "QueryError", mode: metricsexplorertypes.TreemapModeTimeSeries, queryErr: assert.AnError, expectSQL: treemapTimeseriesNoFilterSQL, argCount: 7, wantCode: errors.CodeInternal},
-		{name: "InvalidMode", mode: metricsexplorertypes.TreemapMode{}, noQuery: true, wantCode: errors.CodeInvalidInput},
-	}
-
-	for _, tc := range tests {
-		t.Run(tc.name, func(t *testing.T) {
-			mod, mock, md := newTestModule(t, sqlmock.QueryMatcherRegexp)
-			if tc.seedKey != "" {
-				seedFilterKey(md, tc.seedKey)
-			}
-
-			if !tc.noQuery {
-				eq := mock.ExpectQuery(regexp.QuoteMeta(tc.expectSQL)).WithArgs(anyArgs(tc.argCount)...)
-				switch {
-				case tc.queryErr != nil:
-					eq.WillReturnError(tc.queryErr)
-				case tc.rows != nil:
-					eq.WillReturnRows(tc.rows)
-				default:
-					eq.WillReturnRows(cmock.NewRows(nil, nil))
-				}
-			}
-
-			resp, err := mod.GetTreemap(context.Background(), testOrgID, treemapRequest(tc.mode, tc.opts...))
-			switch {
-			case tc.wantCode.String() != "":
-				assert.Error(t, err)
-				assert.Truef(t, errors.Asc(err, tc.wantCode), "want code %s, got %v", tc.wantCode, err)
-				return
-			case tc.wantErr:
-				assert.Error(t, err)
-				return
-			}
-
-			assert.NoError(t, err)
-			assert.NoError(t, mock.ExpectationsWereMet())
-			if tc.wantTS != nil {
-				assert.Equal(t, tc.wantTS, resp.TimeSeries)
-			}
-			if tc.wantSamples != nil {
-				assert.Equal(t, tc.wantSamples, resp.Samples)
-			}
-		})
-	}
-}

pkg/modules/tracedetail/config.go

@@ -59,19 +59,19 @@ func (c Config) Validate() error {
 		return errors.NewInvalidInputf(errors.CodeInvalidInput, "traces.waterfall.max_limit_to_select_all_spans must be positive")
 	}
 	if c.Flamegraph.MaxSelectedLevels <= 0 {
-		return errors.NewInvalidInputf(errors.CodeInvalidInput, "traces.flamegraph.max_selected_levels must be positive, got %d", c.Flamegraph.MaxSelectedLevels)
+		return errors.NewInvalidInputf(errors.CodeInvalidInput, "tracedetail.flamegraph.level_limit must be positive, got %d", c.Flamegraph.MaxSelectedLevels)
 	}
 	if c.Flamegraph.MaxSpansPerLevel <= 0 {
-		return errors.NewInvalidInputf(errors.CodeInvalidInput, "traces.flamegraph.max_spans_per_level must be positive, got %d", c.Flamegraph.MaxSpansPerLevel)
+		return errors.NewInvalidInputf(errors.CodeInvalidInput, "tracedetail.flamegraph.spans_per_level must be positive, got %d", c.Flamegraph.MaxSpansPerLevel)
 	}
 	if c.Flamegraph.SamplingTopLatencySpansCount < 0 {
-		return errors.NewInvalidInputf(errors.CodeInvalidInput, "traces.flamegraph.sampling_top_latency_count cannot be negative, got %d", c.Flamegraph.SamplingTopLatencySpansCount)
+		return errors.NewInvalidInputf(errors.CodeInvalidInput, "tracedetail.flamegraph.top_latency_count cannot be negative, got %d", c.Flamegraph.SamplingTopLatencySpansCount)
 	}
 	if c.Flamegraph.SamplingBucketCount <= 0 {
-		return errors.NewInvalidInputf(errors.CodeInvalidInput, "traces.flamegraph.sampling_bucket_count must be positive, got %d", c.Flamegraph.SamplingBucketCount)
+		return errors.NewInvalidInputf(errors.CodeInvalidInput, "tracedetail.flamegraph.bucket_count must be positive, got %d", c.Flamegraph.SamplingBucketCount)
 	}
 	if c.Flamegraph.SelectAllSpansLimit == 0 {
-		return errors.NewInvalidInputf(errors.CodeInvalidInput, "traces.flamegraph.select_all_spans_limit must be positive")
+		return errors.NewInvalidInputf(errors.CodeInvalidInput, "tracedetail.flamegraph.max_limit_to_select_all_spans must be positive")
 	}
 	return nil
 }

pkg/modules/tracedetail/impltracedetail/handler.go

@@ -18,6 +18,27 @@ func NewHandler(module tracedetail.Module) tracedetail.Handler {
 	return &handler{module: module}
 }
 
+func (h *handler) GetWaterfall(rw http.ResponseWriter, r *http.Request) {
+	req := new(spantypes.PostableWaterfall)
+	if err := binding.JSON.BindBody(r.Body, req); err != nil {
+		render.Error(rw, err)
+		return
+	}
+
+	if err := req.Validate(); err != nil {
+		render.Error(rw, err)
+		return
+	}
+
+	result, err := h.module.GetWaterfall(r.Context(), mux.Vars(r)["traceID"], req)
+	if err != nil {
+		render.Error(rw, err)
+		return
+	}
+
+	render.Success(rw, http.StatusOK, result)
+}
+
 func (h *handler) GetWaterfallV4(rw http.ResponseWriter, r *http.Request) {
 	req := new(spantypes.PostableWaterfall)
 	if err := binding.JSON.BindBody(r.Body, req); err != nil {
@@ -30,7 +51,7 @@ func (h *handler) GetWaterfallV4(rw http.ResponseWriter, r *http.Request) {
 		return
 	}
 
-	result, err := h.module.GetWaterfallV4(r.Context(), mux.Vars(r)["traceID"], req.SelectedSpanID, req.UncollapsedSpans)
+	result, err := h.module.GetWaterfallV4(r.Context(), mux.Vars(r)["traceID"], req.SelectedSpanID, req.UncollapsedSpans, req.Limit)
 	if err != nil {
 		render.Error(rw, err)
 		return

pkg/modules/tracedetail/impltracedetail/module.go

@@ -34,21 +34,66 @@ func NewModule(traceStore spantypes.TraceStore, providerSettings factory.Provide
 	}
 
 	m.metrics.waterfallSpanLimit.Record(context.Background(), int64(cfg.Waterfall.MaxLimitToSelectAllSpans), metric.WithAttributes(attrResponseType.String(attrResponseTypeWindowed)))
-	m.metrics.flamegraphSpanLimit.Record(context.Background(), int64(cfg.Flamegraph.SelectAllSpansLimit), metric.WithAttributes(attrResponseType.String(attrResponseTypeSampled)))
 
 	return m
 }
 
+func (m *module) GetWaterfall(ctx context.Context, traceID string, req *spantypes.PostableWaterfall) (*spantypes.GettableWaterfallTrace, error) {
+	waterfallTrace, err := m.getTraceData(ctx, traceID)
+	if err != nil {
+		return nil, err
+	}
+
+	selectedSpans, uncollapsedSpans, selectedAllSpans := waterfallTrace.GetWaterfallSpans(
+		req.UncollapsedSpans,
+		req.SelectedSpanID,
+		min(req.Limit, m.config.Waterfall.MaxLimitToSelectAllSpans),
+		m.config.Waterfall.SpanPageSize,
+		m.config.Waterfall.MaxDepthToAutoExpand,
+	)
+
+	aggregationResults := make([]spantypes.SpanAggregationResult, 0, len(req.Aggregations))
+	for _, a := range req.Aggregations {
+		aggregationResults = append(aggregationResults, waterfallTrace.GetSpanAggregation(a.Aggregation, a.Field))
+	}
+
+	return spantypes.NewGettableWaterfallTrace(waterfallTrace, selectedSpans, uncollapsedSpans, selectedAllSpans, aggregationResults), nil
+}
+
+// getTraceData fetches all spans for a trace and builds the WaterfallTrace.
+func (m *module) getTraceData(ctx context.Context, traceID string) (*spantypes.WaterfallTrace, error) {
+	summary, err := m.store.GetTraceSummary(ctx, traceID)
+	if err != nil {
+		return nil, err
+	}
+
+	spanItems, err := m.store.GetTraceSpans(ctx, traceID, summary)
+	if err != nil {
+		return nil, err
+	}
+
+	if len(spanItems) == 0 {
+		return nil, spantypes.ErrTraceNotFound
+	}
+
+	nodes := make([]*spantypes.WaterfallSpan, len(spanItems))
+	for i := range spanItems {
+		nodes[i] = spanItems[i].ToWaterfallSpan(traceID)
+	}
+	return spantypes.NewWaterfallTraceFromSpans(nodes), nil
+}
+
 // GetWaterfallV4 is the OOM-safe V4 waterfall.
 // For large traces (NumSpans > effectiveLimit) it uses a two-step fetch:
 // minimal fields for all spans to build the tree, then full fields for the
 // visible window only. Aggregations are not returned.
-func (m *module) GetWaterfallV4(ctx context.Context, traceID string, selectedSpanID string, uncollapsedSpans []string) (*spantypes.GettableWaterfallTrace, error) {
+func (m *module) GetWaterfallV4(ctx context.Context, traceID string, selectedSpanID string, uncollapsedSpans []string, selectAllLimit uint) (*spantypes.GettableWaterfallTrace, error) {
 	summary, err := m.store.GetTraceSummary(ctx, traceID)
 	if err != nil {
 		return nil, err
 	}
-	if summary.NumSpans > uint64(m.config.Waterfall.MaxLimitToSelectAllSpans) {
+	effectiveLimit := min(selectAllLimit, m.config.Waterfall.MaxLimitToSelectAllSpans)
+	if summary.NumSpans > uint64(effectiveLimit) {
 		attrs := metric.WithAttributes(attrResponseType.String(attrResponseTypeWindowed))
 		m.metrics.waterfallRequestCount.Add(ctx, 1, attrs)
 		m.metrics.waterfallSpanCount.Add(ctx, int64(summary.NumSpans), attrs)
@@ -74,7 +119,7 @@ func (m *module) getFullWaterfall(ctx context.Context, traceID string, summary *
 	waterfallTrace := spantypes.NewWaterfallTraceFromSpans(nodes)
 	selectedSpans := waterfallTrace.GetAllSpans()
 
-	return spantypes.NewGettableWaterfallTrace(waterfallTrace, selectedSpans, nil, true), nil
+	return spantypes.NewGettableWaterfallTrace(waterfallTrace, selectedSpans, nil, true, nil), nil
 }
 
 func (m *module) GetTraceAggregations(ctx context.Context, traceID string, req *spantypes.PostableTraceAggregations) (*spantypes.GettableTraceAggregations, error) {
@@ -128,7 +173,6 @@ func (m *module) GetFlamegraph(ctx context.Context, traceID string, selectedSpan
 	if summary.NumSpans <= uint64(m.config.Flamegraph.SelectAllSpansLimit) {
 		return m.getFullFlamegraph(ctx, traceID, summary, selectFields)
 	}
-	m.metrics.flamegraphRequestCount.Add(ctx, 1, metric.WithAttributes(attrResponseType.String(attrResponseTypeSampled)))
 	return m.getWindowedFlamegraph(ctx, traceID, selectedSpanID, summary, selectFields)
 }
 
@@ -169,7 +213,7 @@ func (m *module) getWindowedWaterfall(ctx context.Context, traceID, selectedSpan
 	spantypes.EnrichSelectedSpans(selectedSpans, fullSpans)
 
 	return spantypes.NewGettableWaterfallTrace(
-		waterfallTrace, selectedSpans, uncollapsedSpans, false,
+		waterfallTrace, selectedSpans, uncollapsedSpans, false, nil,
 	), nil
 }
 

pkg/modules/tracedetail/impltracedetail/telemetry.go

@@ -9,16 +9,12 @@ import (
 const (
 	attrResponseType         = attribute.Key("response_type")
 	attrResponseTypeWindowed = "windowed"
-	attrResponseTypeSampled  = "sampled"
 )
 
 type moduleMetrics struct {
 	waterfallSpanLimit    metric.Int64Gauge
 	waterfallRequestCount metric.Int64Counter
 	waterfallSpanCount    metric.Int64Counter
-
-	flamegraphSpanLimit    metric.Int64Gauge
-	flamegraphRequestCount metric.Int64Counter
 }
 
 func newModuleMetrics(meter metric.Meter) (*moduleMetrics, error) {
@@ -51,30 +47,9 @@ func newModuleMetrics(meter metric.Meter) (*moduleMetrics, error) {
 		errs = errors.Join(errs, err)
 	}
 
-	flamegraphSpanLimit, err := meter.Int64Gauge(
-		"signoz.traces.flamegraph.span.limit",
-		metric.WithDescription("The span count limit above which sampled flamegraph is returned instead of the full flamegraph."),
-		metric.WithUnit("{span}"),
-	)
-	if err != nil {
-		errs = errors.Join(errs, err)
-	}
-
-	flamegraphRequestCount, err := meter.Int64Counter(
-		"signoz.traces.flamegraph.request.count",
-		metric.WithDescription("Total number of flamegraph requests, by response_type."),
-		metric.WithUnit("{request}"),
-	)
-	if err != nil {
-		errs = errors.Join(errs, err)
-	}
-
 	return &moduleMetrics{
 		waterfallSpanLimit:    spanLimit,
 		waterfallRequestCount: requestCount,
 		waterfallSpanCount:    spanCount,
-
-		flamegraphSpanLimit:    flamegraphSpanLimit,
-		flamegraphRequestCount: flamegraphRequestCount,
 	}, errs
 }

pkg/modules/tracedetail/impltracedetail/waterfall_test.go

@@ -260,7 +260,7 @@ func TestGetSelectedSpans_MultipleRoots(t *testing.T) {
 	trace := getWaterfallTrace([]*spantypes.WaterfallSpan{root1, root2}, spanMap)
 	spans, _ := trace.GetSelectedSpans([]string{"root1", "root2"}, "root1", 500, 5)
 
-	traceRespnose := spantypes.NewGettableWaterfallTrace(trace, spans, nil, false)
+	traceRespnose := spantypes.NewGettableWaterfallTrace(trace, spans, nil, false, nil)
 
 	assert.Equal(t, []string{"root1", "child1", "root2", "child2"}, spanIDs(spans), "root1 subtree must precede root2 subtree")
 	assert.Equal(t, "svc-a", traceRespnose.RootServiceName, "metadata comes from first root")
@@ -567,7 +567,7 @@ func TestGetAllSpans(t *testing.T) {
 	)
 	trace := getWaterfallTrace([]*spantypes.WaterfallSpan{root}, nil)
 	spans := trace.GetAllSpans()
-	traceResponse := spantypes.NewGettableWaterfallTrace(trace, spans, nil, true)
+	traceResponse := spantypes.NewGettableWaterfallTrace(trace, spans, nil, true, nil)
 	assert.ElementsMatch(t, spanIDs(spans), []string{"root", "childA", "grandchildA", "leafA", "childB", "grandchildB", "leafB"})
 	assert.Equal(t, "svc", traceResponse.RootServiceName)
 	assert.Equal(t, "root-op", traceResponse.RootServiceEntryPoint)

pkg/modules/tracedetail/tracedetail.go

@@ -10,6 +10,7 @@ import (
 
 // Handler exposes HTTP handlers for trace detail APIs.
 type Handler interface {
+	GetWaterfall(http.ResponseWriter, *http.Request)
 	GetWaterfallV4(http.ResponseWriter, *http.Request)
 	GetTraceAggregations(http.ResponseWriter, *http.Request)
 	GetFlamegraph(http.ResponseWriter, *http.Request)
@@ -17,7 +18,8 @@ type Handler interface {
 
 // Module defines the business logic for trace detail operations.
 type Module interface {
-	GetWaterfallV4(ctx context.Context, traceID string, selectedSpanID string, uncollapsedSpans []string) (*spantypes.GettableWaterfallTrace, error)
+	GetWaterfall(ctx context.Context, traceID string, req *spantypes.PostableWaterfall) (*spantypes.GettableWaterfallTrace, error)
+	GetWaterfallV4(ctx context.Context, traceID string, selectedSpanID string, uncollapsedSpans []string, selectAllLimit uint) (*spantypes.GettableWaterfallTrace, error)
 	GetTraceAggregations(ctx context.Context, traceID string, req *spantypes.PostableTraceAggregations) (*spantypes.GettableTraceAggregations, error)
 	GetFlamegraph(ctx context.Context, traceID string, selectedSpanID string, selectFields []telemetrytypes.TelemetryFieldKey) (*spantypes.GettableFlamegraphTrace, error)
 }

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

@@ -18,6 +18,7 @@ import (
 	"github.com/uptrace/bun"
 
 	"github.com/SigNoz/signoz/pkg/prometheus"
+	"github.com/SigNoz/signoz/pkg/query-service/utils/timestamp"
 	"github.com/SigNoz/signoz/pkg/sqlstore"
 	"github.com/SigNoz/signoz/pkg/telemetrystore"
 	"github.com/SigNoz/signoz/pkg/types"
@@ -46,6 +47,7 @@ import (
 	"github.com/SigNoz/signoz/pkg/query-service/app/resource"
 	"github.com/SigNoz/signoz/pkg/query-service/app/services"
 	"github.com/SigNoz/signoz/pkg/query-service/app/traces/smart"
+	"github.com/SigNoz/signoz/pkg/query-service/app/traces/tracedetail"
 	"github.com/SigNoz/signoz/pkg/query-service/common"
 	"github.com/SigNoz/signoz/pkg/query-service/constants"
 
@@ -896,6 +898,390 @@ func (r *ClickHouseReader) GetSpansForTrace(ctx context.Context, traceID string,
 	return searchScanResponses, nil
 }
 
+func (r *ClickHouseReader) GetWaterfallSpansForTraceWithMetadataCache(ctx context.Context, orgID valuer.UUID, traceID string) (*model.GetWaterfallSpansForTraceWithMetadataCache, error) {
+	cachedTraceData := new(model.GetWaterfallSpansForTraceWithMetadataCache)
+	err := r.cacheForTraceDetail.Get(ctx, orgID, strings.Join([]string{"getWaterfallSpansForTraceWithMetadata", traceID}, "-"), cachedTraceData)
+	if err != nil {
+		r.logger.Debug("error in retrieving getWaterfallSpansForTraceWithMetadata cache", errorsV2.Attr(err), "traceID", traceID)
+		return nil, err
+	}
+
+	if time.Since(time.UnixMilli(int64(cachedTraceData.EndTime))) < r.fluxIntervalForTraceDetail {
+		r.logger.Info("the trace end time falls under the flux interval, skipping getWaterfallSpansForTraceWithMetadata cache", "traceID", traceID)
+		return nil, errors.Errorf("the trace end time falls under the flux interval, skipping getWaterfallSpansForTraceWithMetadata cache, traceID: %s", traceID)
+	}
+
+	r.logger.Info("cache is successfully hit, applying cache for getWaterfallSpansForTraceWithMetadata", "traceID", traceID)
+	return cachedTraceData, nil
+}
+
+func (r *ClickHouseReader) GetWaterfallSpansForTraceWithMetadata(ctx context.Context, orgID valuer.UUID, traceID string, req *model.GetWaterfallSpansForTraceWithMetadataParams) (*model.GetWaterfallSpansForTraceWithMetadataResponse, error) {
+	response := new(model.GetWaterfallSpansForTraceWithMetadataResponse)
+	var startTime, endTime, durationNano, totalErrorSpans, totalSpans uint64
+	var spanIdToSpanNodeMap = map[string]*model.Span{}
+	var traceRoots []*model.Span
+	var serviceNameToTotalDurationMap = map[string]uint64{}
+	var serviceNameIntervalMap = map[string][]tracedetail.Interval{}
+	var hasMissingSpans bool
+
+	cachedTraceData, err := r.GetWaterfallSpansForTraceWithMetadataCache(ctx, orgID, traceID)
+	if err == nil {
+		startTime = cachedTraceData.StartTime
+		endTime = cachedTraceData.EndTime
+		durationNano = cachedTraceData.DurationNano
+		spanIdToSpanNodeMap = cachedTraceData.SpanIdToSpanNodeMap
+		serviceNameToTotalDurationMap = cachedTraceData.ServiceNameToTotalDurationMap
+		traceRoots = cachedTraceData.TraceRoots
+		totalSpans = cachedTraceData.TotalSpans
+		totalErrorSpans = cachedTraceData.TotalErrorSpans
+		hasMissingSpans = cachedTraceData.HasMissingSpans
+	}
+
+	if err != nil {
+		r.logger.Info("cache miss for getWaterfallSpansForTraceWithMetadata", "traceID", traceID)
+
+		searchScanResponses, err := r.GetSpansForTrace(ctx, traceID, fmt.Sprintf("SELECT DISTINCT ON (span_id) timestamp, duration_nano, span_id, trace_id, has_error, kind, resource_string_service$$name, name, links as references, attributes_string, attributes_number, attributes_bool, resources_string, events, status_message, status_code_string, kind_string FROM %s.%s WHERE trace_id=$1 and ts_bucket_start>=$2 and ts_bucket_start<=$3 ORDER BY timestamp ASC, name ASC", r.TraceDB, r.traceTableName))
+		if err != nil {
+			return nil, err
+		}
+		if len(searchScanResponses) == 0 {
+			return response, nil
+		}
+		totalSpans = uint64(len(searchScanResponses))
+		for _, item := range searchScanResponses {
+			ref := []model.OtelSpanRef{}
+			err := json.Unmarshal([]byte(item.References), &ref)
+			if err != nil {
+				r.logger.Error("getWaterfallSpansForTraceWithMetadata: error unmarshalling references", errorsV2.Attr(err), "traceID", traceID)
+				return nil, errorsV2.Newf(errorsV2.TypeInvalidInput, errorsV2.CodeInvalidInput, "getWaterfallSpansForTraceWithMetadata: error unmarshalling references %s", err.Error())
+			}
+
+			// merge attributes_number and attributes_bool to attributes_string
+			for k, v := range item.Attributes_bool {
+				item.Attributes_string[k] = fmt.Sprintf("%v", v)
+			}
+			for k, v := range item.Attributes_number {
+				item.Attributes_string[k] = strconv.FormatFloat(v, 'f', -1, 64)
+			}
+			for k, v := range item.Resources_string {
+				item.Attributes_string[k] = v
+			}
+
+			events := make([]model.Event, 0)
+			for _, event := range item.Events {
+				var eventMap model.Event
+				err = json.Unmarshal([]byte(event), &eventMap)
+				if err != nil {
+					r.logger.Error("Error unmarshalling events", errorsV2.Attr(err))
+					return nil, errorsV2.Newf(errorsV2.TypeInternal, errorsV2.CodeInternal, "getWaterfallSpansForTraceWithMetadata: error in unmarshalling events %s", err.Error())
+				}
+				events = append(events, eventMap)
+			}
+
+			startTimeUnixNano := uint64(item.TimeUnixNano.UnixNano())
+
+			jsonItem := model.Span{
+				SpanID:           item.SpanID,
+				TraceID:          item.TraceID,
+				ServiceName:      item.ServiceName,
+				Name:             item.Name,
+				Kind:             int32(item.Kind),
+				DurationNano:     item.DurationNano,
+				HasError:         item.HasError,
+				StatusMessage:    item.StatusMessage,
+				StatusCodeString: item.StatusCodeString,
+				SpanKind:         item.SpanKind,
+				References:       ref,
+				Events:           events,
+				TagMap:           item.Attributes_string,
+				Children:         make([]*model.Span, 0),
+				TimeUnixNano:     startTimeUnixNano, // Store nanoseconds temporarily
+			}
+
+			// metadata calculation
+			if startTime == 0 || startTimeUnixNano < startTime {
+				startTime = startTimeUnixNano
+			}
+			if endTime == 0 || (startTimeUnixNano+jsonItem.DurationNano) > endTime {
+				endTime = (startTimeUnixNano + jsonItem.DurationNano)
+			}
+			if durationNano == 0 || jsonItem.DurationNano > durationNano {
+				durationNano = jsonItem.DurationNano
+			}
+
+			if jsonItem.HasError {
+				totalErrorSpans = totalErrorSpans + 1
+			}
+
+			// collect the intervals for service for execution time calculation
+			serviceNameIntervalMap[jsonItem.ServiceName] =
+				append(serviceNameIntervalMap[jsonItem.ServiceName], tracedetail.Interval{StartTime: jsonItem.TimeUnixNano, Duration: jsonItem.DurationNano, Service: jsonItem.ServiceName})
+
+			// append to the span node map
+			spanIdToSpanNodeMap[jsonItem.SpanID] = &jsonItem
+		}
+
+		// traverse through the map and append each node to the children array of the parent node
+		// and add the missing spans
+		for _, spanNode := range spanIdToSpanNodeMap {
+			hasParentSpanNode := false
+			for _, reference := range spanNode.References {
+				if reference.RefType == "CHILD_OF" && reference.SpanId != "" {
+					hasParentSpanNode = true
+
+					if parentNode, exists := spanIdToSpanNodeMap[reference.SpanId]; exists {
+						parentNode.Children = append(parentNode.Children, spanNode)
+					} else {
+						// insert the missing span
+						missingSpan := model.Span{
+							SpanID:           reference.SpanId,
+							TraceID:          spanNode.TraceID,
+							ServiceName:      "",
+							Name:             "Missing Span",
+							TimeUnixNano:     spanNode.TimeUnixNano,
+							Kind:             0,
+							DurationNano:     spanNode.DurationNano,
+							HasError:         false,
+							StatusMessage:    "",
+							StatusCodeString: "",
+							SpanKind:         "",
+							Events:           make([]model.Event, 0),
+							Children:         make([]*model.Span, 0),
+						}
+						missingSpan.Children = append(missingSpan.Children, spanNode)
+						spanIdToSpanNodeMap[missingSpan.SpanID] = &missingSpan
+						traceRoots = append(traceRoots, &missingSpan)
+						hasMissingSpans = true
+					}
+				}
+			}
+			if !hasParentSpanNode && !tracedetail.ContainsWaterfallSpan(traceRoots, spanNode) {
+				traceRoots = append(traceRoots, spanNode)
+			}
+		}
+
+		// sort the trace roots to add missing spans at the right order
+		sort.Slice(traceRoots, func(i, j int) bool {
+			if traceRoots[i].TimeUnixNano == traceRoots[j].TimeUnixNano {
+				return traceRoots[i].Name < traceRoots[j].Name
+			}
+			return traceRoots[i].TimeUnixNano < traceRoots[j].TimeUnixNano
+		})
+
+		serviceNameToTotalDurationMap = tracedetail.CalculateServiceTime(serviceNameIntervalMap)
+
+		// TODO: set the span data (model.GetWaterfallSpansForTraceWithMetadataCache) in cache here
+		// removed existing cache usage since it was not getting used due to this bug https://github.com/SigNoz/engineering-pod/issues/4648
+		// and was causing out of memory issues https://github.com/SigNoz/engineering-pod/issues/4638
+	}
+
+	processingPostCache := time.Now()
+	// When req.Limit is 0 (not set by the client),  selectAllSpans is set to false
+	// preserving the old paged behaviour for backward compatibility
+	limit := min(req.Limit, tracedetail.MaxLimitToSelectAllSpans)
+	selectAllSpans := totalSpans <= uint64(limit)
+
+	var (
+		selectedSpans                          []*model.Span
+		uncollapsedSpans                       []string
+		rootServiceName, rootServiceEntryPoint string
+	)
+	if selectAllSpans {
+		selectedSpans, rootServiceName, rootServiceEntryPoint = tracedetail.GetAllSpans(traceRoots)
+	} else {
+		selectedSpans, uncollapsedSpans, rootServiceName, rootServiceEntryPoint = tracedetail.GetSelectedSpans(req.UncollapsedSpans, req.SelectedSpanID, traceRoots, spanIdToSpanNodeMap, req.IsSelectedSpanIDUnCollapsed)
+	}
+	r.logger.Info("getWaterfallSpansForTraceWithMetadata: processing post cache", "duration", time.Since(processingPostCache), "traceID", traceID)
+
+	// convert start timestamp to millis because right now frontend is expecting it in millis
+	for _, span := range selectedSpans {
+		span.TimeUnixNano = span.TimeUnixNano / 1000000
+	}
+
+	for serviceName, totalDuration := range serviceNameToTotalDurationMap {
+		serviceNameToTotalDurationMap[serviceName] = totalDuration / 1000000
+	}
+
+	response.Spans = selectedSpans
+	response.UncollapsedSpans = uncollapsedSpans // ignoring if all spans are returning
+	response.StartTimestampMillis = startTime / 1000000
+	response.EndTimestampMillis = endTime / 1000000
+	response.TotalSpansCount = totalSpans
+	response.TotalErrorSpansCount = totalErrorSpans
+	response.RootServiceName = rootServiceName
+	response.RootServiceEntryPoint = rootServiceEntryPoint
+	response.ServiceNameToTotalDurationMap = serviceNameToTotalDurationMap
+	response.HasMissingSpans = hasMissingSpans
+	response.HasMore = !selectAllSpans
+	return response, nil
+}
+
+func (r *ClickHouseReader) GetFlamegraphSpansForTraceCache(ctx context.Context, orgID valuer.UUID, traceID string) (*model.GetFlamegraphSpansForTraceCache, error) {
+	cachedTraceData := new(model.GetFlamegraphSpansForTraceCache)
+	err := r.cacheForTraceDetail.Get(ctx, orgID, strings.Join([]string{"getFlamegraphSpansForTrace", traceID}, "-"), cachedTraceData)
+	if err != nil {
+		r.logger.Debug("error in retrieving getFlamegraphSpansForTrace cache", errorsV2.Attr(err), "traceID", traceID)
+		return nil, err
+	}
+
+	if time.Since(time.UnixMilli(int64(cachedTraceData.EndTime))) < r.fluxIntervalForTraceDetail {
+		r.logger.Info("the trace end time falls under the flux interval, skipping getFlamegraphSpansForTrace cache", "traceID", traceID)
+		return nil, errors.Errorf("the trace end time falls under the flux interval, skipping getFlamegraphSpansForTrace cache, traceID: %s", traceID)
+	}
+
+	r.logger.Info("cache is successfully hit, applying cache for getFlamegraphSpansForTrace", "traceID", traceID)
+	return cachedTraceData, nil
+}
+
+func (r *ClickHouseReader) GetFlamegraphSpansForTrace(ctx context.Context, orgID valuer.UUID, traceID string, req *model.GetFlamegraphSpansForTraceParams) (*model.GetFlamegraphSpansForTraceResponse, error) {
+	trace := new(model.GetFlamegraphSpansForTraceResponse)
+	var startTime, endTime, durationNano uint64
+	var spanIdToSpanNodeMap = map[string]*model.FlamegraphSpan{}
+	// map[traceID][level]span
+	var selectedSpans = [][]*model.FlamegraphSpan{}
+	var traceRoots []*model.FlamegraphSpan
+
+	// get the trace tree from cache!
+	cachedTraceData, err := r.GetFlamegraphSpansForTraceCache(ctx, orgID, traceID)
+
+	if err == nil {
+		startTime = cachedTraceData.StartTime
+		endTime = cachedTraceData.EndTime
+		durationNano = cachedTraceData.DurationNano
+		selectedSpans = cachedTraceData.SelectedSpans
+		traceRoots = cachedTraceData.TraceRoots
+	}
+
+	if err != nil {
+		r.logger.Info("cache miss for getFlamegraphSpansForTrace", "traceID", traceID)
+
+		selectCols := "timestamp, duration_nano, span_id, trace_id, has_error, links as references, resource_string_service$$name, name, events"
+		if len(req.SelectFields) > 0 {
+			selectCols += ", attributes_string, attributes_number, attributes_bool, resources_string"
+		}
+		flamegraphQuery := fmt.Sprintf("SELECT %s FROM %s.%s WHERE trace_id=$1 and ts_bucket_start>=$2 and ts_bucket_start<=$3 ORDER BY timestamp ASC, name ASC", selectCols, r.TraceDB, r.traceTableName)
+
+		searchScanResponses, err := r.GetSpansForTrace(ctx, traceID, flamegraphQuery)
+		if err != nil {
+			return nil, err
+		}
+		if len(searchScanResponses) == 0 {
+			return trace, nil
+		}
+
+		for _, item := range searchScanResponses {
+			ref := []model.OtelSpanRef{}
+			err := json.Unmarshal([]byte(item.References), &ref)
+			if err != nil {
+				r.logger.Error("Error unmarshalling references", errorsV2.Attr(err))
+				return nil, errorsV2.Newf(errorsV2.TypeInternal, errorsV2.CodeInternal, "getFlamegraphSpansForTrace: error in unmarshalling references %s", err.Error())
+			}
+
+			events := make([]model.Event, 0)
+			for _, event := range item.Events {
+				var eventMap model.Event
+				err = json.Unmarshal([]byte(event), &eventMap)
+				if err != nil {
+					r.logger.Error("Error unmarshalling events", errorsV2.Attr(err))
+					return nil, errorsV2.Newf(errorsV2.TypeInternal, errorsV2.CodeInternal, "getFlamegraphSpansForTrace: error in unmarshalling events %s", err.Error())
+				}
+				events = append(events, eventMap)
+			}
+
+			jsonItem := model.FlamegraphSpan{
+				SpanID:       item.SpanID,
+				TraceID:      item.TraceID,
+				ServiceName:  item.ServiceName,
+				Name:         item.Name,
+				DurationNano: item.DurationNano,
+				HasError:     item.HasError,
+				References:   ref,
+				Events:       events,
+				Children:     make([]*model.FlamegraphSpan, 0),
+			}
+
+			if len(req.SelectFields) > 0 {
+				jsonItem.SetRequestedFields(item, req.SelectFields)
+			}
+
+			// metadata calculation
+			startTimeUnixNano := uint64(item.TimeUnixNano.UnixNano())
+			if startTime == 0 || startTimeUnixNano < startTime {
+				startTime = startTimeUnixNano
+			}
+			if endTime == 0 || (startTimeUnixNano+jsonItem.DurationNano) > endTime {
+				endTime = (startTimeUnixNano + jsonItem.DurationNano)
+			}
+			if durationNano == 0 || jsonItem.DurationNano > durationNano {
+				durationNano = jsonItem.DurationNano
+			}
+
+			jsonItem.TimeUnixNano = uint64(item.TimeUnixNano.UnixNano() / 1000000)
+			spanIdToSpanNodeMap[jsonItem.SpanID] = &jsonItem
+		}
+
+		// traverse through the map and append each node to the children array of the parent node
+		// and add missing spans
+		for _, spanNode := range spanIdToSpanNodeMap {
+			hasParentSpanNode := false
+			for _, reference := range spanNode.References {
+				if reference.RefType == "CHILD_OF" && reference.SpanId != "" {
+					hasParentSpanNode = true
+					if parentNode, exists := spanIdToSpanNodeMap[reference.SpanId]; exists {
+						parentNode.Children = append(parentNode.Children, spanNode)
+					} else {
+						// insert the missing spans
+						missingSpan := model.FlamegraphSpan{
+							SpanID:       reference.SpanId,
+							TraceID:      spanNode.TraceID,
+							ServiceName:  "",
+							Name:         "Missing Span",
+							TimeUnixNano: spanNode.TimeUnixNano,
+							DurationNano: spanNode.DurationNano,
+							HasError:     false,
+							Events:       make([]model.Event, 0),
+							Children:     make([]*model.FlamegraphSpan, 0),
+						}
+						missingSpan.Children = append(missingSpan.Children, spanNode)
+						spanIdToSpanNodeMap[missingSpan.SpanID] = &missingSpan
+						traceRoots = append(traceRoots, &missingSpan)
+					}
+				}
+			}
+			if !hasParentSpanNode && !tracedetail.ContainsFlamegraphSpan(traceRoots, spanNode) {
+				traceRoots = append(traceRoots, spanNode)
+			}
+		}
+
+		selectedSpans = tracedetail.GetAllSpansForFlamegraph(traceRoots, spanIdToSpanNodeMap)
+
+		// TODO: set the trace data (model.GetFlamegraphSpansForTraceCache) in cache here
+		// removed existing cache usage since it was not getting used due to this bug https://github.com/SigNoz/engineering-pod/issues/4648
+		// and was causing out of memory issues https://github.com/SigNoz/engineering-pod/issues/4638
+	}
+
+	processingPostCache := time.Now()
+	selectedSpansForRequest := selectedSpans
+	clientLimit := min(req.Limit, tracedetail.MaxLimitWithoutSampling)
+	totalSpanCount := tracedetail.GetTotalSpanCount(selectedSpans)
+	if totalSpanCount > uint64(clientLimit) {
+		// using trace start and end time if boundary ts are set to zero (or not set)
+		boundaryStart := max(timestamp.MilliToNano(req.BoundaryStartTS), startTime)
+		boundaryEnd := timestamp.MilliToNano(req.BoundaryEndTS)
+		if boundaryEnd == 0 {
+			boundaryEnd = endTime
+		}
+
+		selectedSpansForRequest = tracedetail.GetSelectedSpansForFlamegraphForRequest(req.SelectedSpanID, selectedSpans, boundaryStart, boundaryEnd)
+	}
+	r.logger.Debug("getFlamegraphSpansForTrace: processing post cache", "duration", time.Since(processingPostCache), "traceID", traceID, "totalSpans", totalSpanCount, "limit", clientLimit)
+
+	trace.Spans = selectedSpansForRequest
+	trace.StartTimestampMillis = startTime / 1000000
+	trace.EndTimestampMillis = endTime / 1000000
+	trace.HasMore = totalSpanCount > uint64(clientLimit)
+	return trace, nil
+}
 
 func (r *ClickHouseReader) GetDependencyGraph(ctx context.Context, queryParams *model.GetServicesParams) (*[]model.ServiceMapDependencyResponseItem, error) {
 

pkg/query-service/app/http_handler.go

@@ -534,8 +534,8 @@ func (aH *APIHandler) RegisterRoutes(router *mux.Router, am *middleware.AuthZ) {
 
 	router.HandleFunc("/api/v2/traces/fields", am.ViewAccess(aH.traceFields)).Methods(http.MethodGet)
 	router.HandleFunc("/api/v2/traces/fields", am.EditAccess(aH.updateTraceField)).Methods(http.MethodPost)
-
-
+	router.HandleFunc("/api/v2/traces/flamegraph/{traceId}", am.ViewAccess(aH.GetFlamegraphSpansForTrace)).Methods(http.MethodPost)
+	router.HandleFunc("/api/v2/traces/waterfall/{traceId}", am.ViewAccess(aH.GetWaterfallSpansForTraceWithMetadata)).Methods(http.MethodPost)
 
 	router.HandleFunc("/api/v1/version", am.OpenAccess(aH.getVersion)).Methods(http.MethodGet)
 	router.HandleFunc("/api/v1/features", am.ViewAccess(aH.getFeatureFlags)).Methods(http.MethodGet)
@@ -1446,6 +1446,73 @@ func (aH *APIHandler) SearchTraces(w http.ResponseWriter, r *http.Request) {
 
 }
 
+func (aH *APIHandler) GetWaterfallSpansForTraceWithMetadata(w http.ResponseWriter, r *http.Request) {
+	claims, err := authtypes.ClaimsFromContext(r.Context())
+	if err != nil {
+		render.Error(w, err)
+		return
+	}
+	orgID, err := valuer.NewUUID(claims.OrgID)
+	if err != nil {
+		render.Error(w, err)
+		return
+	}
+	traceID := mux.Vars(r)["traceId"]
+	if traceID == "" {
+		render.Error(w, errors.NewInvalidInputf(errors.CodeInvalidInput, "traceID is required"))
+		return
+	}
+
+	req := new(model.GetWaterfallSpansForTraceWithMetadataParams)
+	err = json.NewDecoder(r.Body).Decode(&req)
+	if err != nil {
+		RespondError(w, model.BadRequest(err), nil)
+		return
+	}
+
+	result, apiErr := aH.reader.GetWaterfallSpansForTraceWithMetadata(r.Context(), orgID, traceID, req)
+	if apiErr != nil {
+		render.Error(w, apiErr)
+		return
+	}
+
+	aH.WriteJSON(w, r, result)
+}
+
+func (aH *APIHandler) GetFlamegraphSpansForTrace(w http.ResponseWriter, r *http.Request) {
+	claims, err := authtypes.ClaimsFromContext(r.Context())
+	if err != nil {
+		render.Error(w, err)
+		return
+	}
+	orgID, err := valuer.NewUUID(claims.OrgID)
+	if err != nil {
+		render.Error(w, err)
+		return
+	}
+
+	traceID := mux.Vars(r)["traceId"]
+	if traceID == "" {
+		render.Error(w, errors.NewInvalidInputf(errors.CodeInvalidInput, "traceID is required"))
+		return
+	}
+
+	req := new(model.GetFlamegraphSpansForTraceParams)
+	err = json.NewDecoder(r.Body).Decode(&req)
+	if err != nil {
+		RespondError(w, model.BadRequest(err), nil)
+		return
+	}
+
+	result, apiErr := aH.reader.GetFlamegraphSpansForTrace(r.Context(), orgID, traceID, req)
+	if apiErr != nil {
+		render.Error(w, apiErr)
+		return
+	}
+
+	aH.WriteJSON(w, r, result)
+}
+
 func (aH *APIHandler) listErrors(w http.ResponseWriter, r *http.Request) {
 
 	query, err := parseListErrorsRequest(r)

pkg/query-service/app/traces/tracedetail/flamegraph.go

@@ -0,0 +1,199 @@
+package tracedetail
+
+import (
+	"sort"
+
+	"github.com/SigNoz/signoz/pkg/query-service/model"
+)
+
+var (
+	flamegraphSpanLevelLimit      float64 = 50
+	flamegraphSpanLimitPerLevel   int     = 100
+	flamegraphSamplingBucketCount int     = 50
+	flamegraphTopLatencySpanCount int     = 5
+
+	MaxLimitWithoutSampling uint = 120_000
+)
+
+func ContainsFlamegraphSpan(slice []*model.FlamegraphSpan, item *model.FlamegraphSpan) bool {
+	for _, v := range slice {
+		if v.SpanID == item.SpanID {
+			return true
+		}
+	}
+	return false
+}
+
+func BfsTraversalForTrace(span *model.FlamegraphSpan, level int64) map[int64][]*model.FlamegraphSpan {
+	bfs := map[int64][]*model.FlamegraphSpan{}
+	bfs[level] = []*model.FlamegraphSpan{span}
+
+	for _, child := range span.Children {
+		childBfsMap := BfsTraversalForTrace(child, level+1)
+		for _level, nodes := range childBfsMap {
+			bfs[_level] = append(bfs[_level], nodes...)
+		}
+	}
+	span.Level = level
+	span.Children = make([]*model.FlamegraphSpan, 0)
+
+	return bfs
+}
+
+func FindIndexForSelectedSpan(spans [][]*model.FlamegraphSpan, selectedSpanId string) int {
+	var selectedSpanLevel int = 0
+
+	for index, _spans := range spans {
+		for _, span := range _spans {
+			if span.SpanID == selectedSpanId {
+				selectedSpanLevel = index
+				break
+			}
+		}
+	}
+
+	return selectedSpanLevel
+}
+
+// GetAllSpansForFlamegraph groups all spans as per their level
+func GetAllSpansForFlamegraph(traceRoots []*model.FlamegraphSpan, spanIdToSpanNodeMap map[string]*model.FlamegraphSpan) [][]*model.FlamegraphSpan {
+
+	var traceIdLevelledFlamegraph = map[string]map[int64][]*model.FlamegraphSpan{}
+	selectedSpans := [][]*model.FlamegraphSpan{}
+
+	// sort the trace roots to add missing spans at the right order
+	sort.Slice(traceRoots, func(i, j int) bool {
+		if traceRoots[i].TimeUnixNano == traceRoots[j].TimeUnixNano {
+			return traceRoots[i].Name < traceRoots[j].Name
+		}
+		return traceRoots[i].TimeUnixNano < traceRoots[j].TimeUnixNano
+	})
+
+	for _, rootSpanID := range traceRoots {
+		if rootNode, exists := spanIdToSpanNodeMap[rootSpanID.SpanID]; exists {
+			bfsMapForTrace := BfsTraversalForTrace(rootNode, 0)
+			traceIdLevelledFlamegraph[rootSpanID.SpanID] = bfsMapForTrace
+		}
+	}
+
+	for _, trace := range traceRoots {
+		keys := make([]int64, 0, len(traceIdLevelledFlamegraph[trace.SpanID]))
+		for key := range traceIdLevelledFlamegraph[trace.SpanID] {
+			keys = append(keys, key)
+		}
+
+		sort.Slice(keys, func(i, j int) bool {
+			return keys[i] < keys[j]
+		})
+
+		for _, level := range keys {
+			if ok, exists := traceIdLevelledFlamegraph[trace.SpanID][level]; exists {
+				selectedSpans = append(selectedSpans, ok)
+			}
+		}
+	}
+
+	return selectedSpans
+}
+
+func getLatencyAndTimestampBucketedSpans(spans []*model.FlamegraphSpan, selectedSpanID string, isSelectedSpanIDPresent bool, startTime uint64, endTime uint64) []*model.FlamegraphSpan {
+	var sampledSpans []*model.FlamegraphSpan
+	// sort the spans by latency for latency filtering
+	sort.Slice(spans, func(i, j int) bool {
+		return spans[i].DurationNano > spans[j].DurationNano
+	})
+
+	// pick the top 5 latency spans
+	for idx := range flamegraphTopLatencySpanCount {
+		sampledSpans = append(sampledSpans, spans[idx])
+	}
+
+	// always add the selectedSpan
+	if isSelectedSpanIDPresent {
+		idx := -1
+		for _idx, span := range spans {
+			if span.SpanID == selectedSpanID {
+				idx = _idx
+			}
+		}
+		if idx != -1 {
+			sampledSpans = append(sampledSpans, spans[idx])
+		}
+	}
+
+	bucketSize := (endTime - startTime) / uint64(flamegraphSamplingBucketCount)
+	if bucketSize == 0 {
+		bucketSize = 1
+	}
+
+	bucketedSpans := make([][]*model.FlamegraphSpan, flamegraphSamplingBucketCount)
+
+	for _, span := range spans {
+		if span.TimeUnixNano >= startTime && span.TimeUnixNano <= endTime {
+			bucketIndex := int((span.TimeUnixNano - startTime) / bucketSize)
+			if bucketIndex >= 0 && bucketIndex < flamegraphSamplingBucketCount {
+				bucketedSpans[bucketIndex] = append(bucketedSpans[bucketIndex], span)
+			}
+		}
+	}
+
+	for i := range bucketedSpans {
+		if len(bucketedSpans[i]) > 2 {
+			// Keep only the first 2 spans
+			bucketedSpans[i] = bucketedSpans[i][:2]
+		}
+	}
+
+	// Flatten the bucketed spans into a single slice
+	for _, bucket := range bucketedSpans {
+		sampledSpans = append(sampledSpans, bucket...)
+	}
+
+	return sampledSpans
+}
+
+func GetSelectedSpansForFlamegraphForRequest(selectedSpanID string, selectedSpans [][]*model.FlamegraphSpan, startTime uint64, endTime uint64) [][]*model.FlamegraphSpan {
+	var selectedSpansForRequest = make([][]*model.FlamegraphSpan, 0)
+	var selectedIndex = 0
+
+	if selectedSpanID != "" {
+		selectedIndex = FindIndexForSelectedSpan(selectedSpans, selectedSpanID)
+	}
+
+	lowerLimit := selectedIndex - int(flamegraphSpanLevelLimit*0.4)
+	upperLimit := selectedIndex + int(flamegraphSpanLevelLimit*0.6)
+
+	if lowerLimit < 0 {
+		upperLimit = upperLimit - lowerLimit
+		lowerLimit = 0
+	}
+
+	if upperLimit > len(selectedSpans) {
+		lowerLimit = lowerLimit - (upperLimit - len(selectedSpans))
+		upperLimit = len(selectedSpans)
+	}
+
+	if lowerLimit < 0 {
+		lowerLimit = 0
+	}
+
+	for i := lowerLimit; i < upperLimit; i++ {
+		if len(selectedSpans[i]) > flamegraphSpanLimitPerLevel {
+			_spans := getLatencyAndTimestampBucketedSpans(selectedSpans[i], selectedSpanID, i == selectedIndex, startTime, endTime)
+			selectedSpansForRequest = append(selectedSpansForRequest, _spans)
+		} else {
+			selectedSpansForRequest = append(selectedSpansForRequest, selectedSpans[i])
+		}
+	}
+
+	return selectedSpansForRequest
+}
+
+func GetTotalSpanCount(spans [][]*model.FlamegraphSpan) uint64 {
+	levelCount := len(spans)
+	spanCount := uint64(0)
+	for i := range levelCount {
+		spanCount += uint64(len(spans[i]))
+	}
+	return spanCount
+}

pkg/query-service/app/traces/tracedetail/waterfall.go

@@ -0,0 +1,287 @@
+package tracedetail
+
+import (
+	"maps"
+	"slices"
+	"sort"
+
+	"github.com/SigNoz/signoz/pkg/query-service/model"
+)
+
+var (
+	SPAN_LIMIT_PER_REQUEST_FOR_WATERFALL float64 = 500
+
+	maxDepthForSelectedSpanChildren int  = 5
+	MaxLimitToSelectAllSpans        uint = 10_000
+)
+
+type Interval struct {
+	StartTime uint64
+	Duration  uint64
+	Service   string
+}
+
+func mergeIntervals(intervals []Interval) []Interval {
+	if len(intervals) == 0 {
+		return nil
+	}
+
+	var merged []Interval
+	current := intervals[0]
+
+	for i := 1; i < len(intervals); i++ {
+		next := intervals[i]
+		if current.StartTime+current.Duration >= next.StartTime {
+			endTime := max(current.StartTime+current.Duration, next.StartTime+next.Duration)
+			current.Duration = endTime - current.StartTime
+		} else {
+			merged = append(merged, current)
+			current = next
+		}
+	}
+	// Add the last interval
+	merged = append(merged, current)
+
+	return merged
+}
+
+func ContainsWaterfallSpan(slice []*model.Span, item *model.Span) bool {
+	for _, v := range slice {
+		if v.SpanID == item.SpanID {
+			return true
+		}
+	}
+	return false
+}
+
+func findIndexForSelectedSpanFromPreOrder(spans []*model.Span, selectedSpanId string) int {
+	var selectedSpanIndex = -1
+
+	for index, span := range spans {
+		if span.SpanID == selectedSpanId {
+			selectedSpanIndex = index
+			break
+		}
+	}
+
+	return selectedSpanIndex
+}
+
+func getPathFromRootToSelectedSpanId(node *model.Span, selectedSpanId string) (bool, []string) {
+	spansFromRootToNode := []string{}
+
+	spansFromRootToNode = append(spansFromRootToNode, node.SpanID)
+	if node.SpanID == selectedSpanId {
+		return true, spansFromRootToNode
+	}
+
+	isPresentInSubtreeForTheNode := false
+	for _, child := range node.Children {
+		isPresentInThisSubtree, _spansFromRootToNode := getPathFromRootToSelectedSpanId(child, selectedSpanId)
+		// if the interested node is present in the given subtree then add the span node to uncollapsed node list
+		if isPresentInThisSubtree {
+			isPresentInSubtreeForTheNode = true
+			spansFromRootToNode = append(spansFromRootToNode, _spansFromRootToNode...)
+			break
+		}
+	}
+	return isPresentInSubtreeForTheNode, spansFromRootToNode
+}
+
+// traverseOpts holds the traversal configuration that remains constant
+// throughout the recursion. Per-call state (level, isPartOfPreOrder, etc.)
+// is passed as direct arguments.
+type traverseOpts struct {
+	uncollapsedSpans          map[string]struct{}
+	selectedSpanID            string
+	isSelectedSpanUncollapsed bool
+	selectAll                 bool
+}
+
+func traverseTrace(
+	span *model.Span,
+	opts traverseOpts,
+	level uint64,
+	isPartOfPreOrder bool,
+	hasSibling bool,
+	autoExpandDepth int,
+) ([]*model.Span, []string) {
+
+	preOrderTraversal := []*model.Span{}
+	autoExpandedSpans := []string{}
+
+	// sort the children to maintain the order across requests
+	sort.Slice(span.Children, func(i, j int) bool {
+		if span.Children[i].TimeUnixNano == span.Children[j].TimeUnixNano {
+			return span.Children[i].Name < span.Children[j].Name
+		}
+		return span.Children[i].TimeUnixNano < span.Children[j].TimeUnixNano
+	})
+
+	span.SubTreeNodeCount = 0
+	nodeWithoutChildren := model.Span{
+		SpanID:           span.SpanID,
+		TraceID:          span.TraceID,
+		ServiceName:      span.ServiceName,
+		TimeUnixNano:     span.TimeUnixNano,
+		Name:             span.Name,
+		Kind:             int32(span.Kind),
+		DurationNano:     span.DurationNano,
+		HasError:         span.HasError,
+		StatusMessage:    span.StatusMessage,
+		StatusCodeString: span.StatusCodeString,
+		SpanKind:         span.SpanKind,
+		References:       span.References,
+		Events:           span.Events,
+		TagMap:           span.TagMap,
+		Children:         make([]*model.Span, 0),
+		HasChildren:      len(span.Children) > 0,
+		Level:            level,
+		HasSiblings:      hasSibling,
+		SubTreeNodeCount: 0,
+	}
+
+	if isPartOfPreOrder {
+		preOrderTraversal = append(preOrderTraversal, &nodeWithoutChildren)
+	}
+
+	remainingAutoExpandDepth := 0
+	if span.SpanID == opts.selectedSpanID && opts.isSelectedSpanUncollapsed {
+		remainingAutoExpandDepth = maxDepthForSelectedSpanChildren
+	} else if autoExpandDepth > 0 {
+		remainingAutoExpandDepth = autoExpandDepth - 1
+	}
+
+	_, isAlreadyUncollapsed := opts.uncollapsedSpans[span.SpanID]
+	for index, child := range span.Children {
+		// A child is included in the pre-order output if its parent is uncollapsed
+		// OR if the child falls within MAX_DEPTH_FOR_SELECTED_SPAN_CHILDREN levels
+		// below the selected span.
+		isChildWithinMaxDepth := remainingAutoExpandDepth > 0
+		childIsPartOfPreOrder := opts.selectAll || (isPartOfPreOrder && (isAlreadyUncollapsed || isChildWithinMaxDepth))
+
+		if isPartOfPreOrder && isChildWithinMaxDepth && !isAlreadyUncollapsed {
+			if !slices.Contains(autoExpandedSpans, span.SpanID) {
+				autoExpandedSpans = append(autoExpandedSpans, span.SpanID)
+			}
+		}
+
+		_childTraversal, _autoExpanded := traverseTrace(child, opts, level+1, childIsPartOfPreOrder, index != (len(span.Children)-1), remainingAutoExpandDepth)
+		preOrderTraversal = append(preOrderTraversal, _childTraversal...)
+		autoExpandedSpans = append(autoExpandedSpans, _autoExpanded...)
+		nodeWithoutChildren.SubTreeNodeCount += child.SubTreeNodeCount + 1
+		span.SubTreeNodeCount += child.SubTreeNodeCount + 1
+	}
+
+	nodeWithoutChildren.SubTreeNodeCount += 1
+	return preOrderTraversal, autoExpandedSpans
+
+}
+
+func CalculateServiceTime(serviceIntervals map[string][]Interval) map[string]uint64 {
+	totalTimes := make(map[string]uint64)
+
+	for service, serviceIntervals := range serviceIntervals {
+		sort.Slice(serviceIntervals, func(i, j int) bool {
+			return serviceIntervals[i].StartTime < serviceIntervals[j].StartTime
+		})
+		mergedIntervals := mergeIntervals(serviceIntervals)
+		totalTime := uint64(0)
+		for _, interval := range mergedIntervals {
+			totalTime += interval.Duration
+		}
+		totalTimes[service] = totalTime
+	}
+
+	return totalTimes
+}
+
+func GetSelectedSpans(uncollapsedSpans []string, selectedSpanID string, traceRoots []*model.Span, spanIdToSpanNodeMap map[string]*model.Span, isSelectedSpanIDUnCollapsed bool) ([]*model.Span, []string, string, string) {
+
+	var preOrderTraversal = make([]*model.Span, 0)
+	var rootServiceName, rootServiceEntryPoint string
+
+	// create a map of uncollapsed spans for quick lookup
+	uncollapsedSpanMap := make(map[string]struct{})
+	for _, spanID := range uncollapsedSpans {
+		uncollapsedSpanMap[spanID] = struct{}{}
+	}
+
+	selectedSpanIndex := -1
+	for _, rootSpanID := range traceRoots {
+		if rootNode, exists := spanIdToSpanNodeMap[rootSpanID.SpanID]; exists {
+			present, spansFromRootToNode := getPathFromRootToSelectedSpanId(rootNode, selectedSpanID)
+			if present {
+				for _, spanID := range spansFromRootToNode {
+					if selectedSpanID == spanID && !isSelectedSpanIDUnCollapsed {
+						continue
+					}
+					uncollapsedSpanMap[spanID] = struct{}{}
+				}
+			}
+
+			opts := traverseOpts{
+				uncollapsedSpans:          uncollapsedSpanMap,
+				selectedSpanID:            selectedSpanID,
+				isSelectedSpanUncollapsed: isSelectedSpanIDUnCollapsed,
+			}
+			_preOrderTraversal, _autoExpanded := traverseTrace(rootNode, opts, 0, true, false, 0)
+			// Merge auto-expanded spans into updatedUncollapsedSpans for returning in response
+			for _, spanID := range _autoExpanded {
+				uncollapsedSpanMap[spanID] = struct{}{}
+			}
+			_selectedSpanIndex := findIndexForSelectedSpanFromPreOrder(_preOrderTraversal, selectedSpanID)
+
+			if _selectedSpanIndex != -1 {
+				selectedSpanIndex = _selectedSpanIndex + len(preOrderTraversal)
+			}
+
+			preOrderTraversal = append(preOrderTraversal, _preOrderTraversal...)
+
+			if rootServiceName == "" {
+				rootServiceName = rootNode.ServiceName
+			}
+
+			if rootServiceEntryPoint == "" {
+				rootServiceEntryPoint = rootNode.Name
+			}
+		}
+	}
+
+	// if we couldn't find the selectedSpan in the trace then defaulting the selected index to 0
+	if selectedSpanIndex == -1 && selectedSpanID != "" {
+		selectedSpanIndex = 0
+	}
+
+	// get the 0.4*[span limit] before the interested span index
+	startIndex := selectedSpanIndex - int(SPAN_LIMIT_PER_REQUEST_FOR_WATERFALL*0.4)
+	// get the 0.6*[span limit] after the intrested span index
+	endIndex := selectedSpanIndex + int(SPAN_LIMIT_PER_REQUEST_FOR_WATERFALL*0.6)
+
+	// adjust the sliding window according to the available left and right spaces.
+	if startIndex < 0 {
+		endIndex = endIndex - startIndex
+		startIndex = 0
+	}
+	if endIndex > len(preOrderTraversal) {
+		startIndex = startIndex - (endIndex - len(preOrderTraversal))
+		endIndex = len(preOrderTraversal)
+	}
+	if startIndex < 0 {
+		startIndex = 0
+	}
+
+	return preOrderTraversal[startIndex:endIndex], slices.Collect(maps.Keys(uncollapsedSpanMap)), rootServiceName, rootServiceEntryPoint
+}
+
+func GetAllSpans(traceRoots []*model.Span) (spans []*model.Span, rootServiceName, rootEntryPoint string) {
+	if len(traceRoots) > 0 {
+		rootServiceName = traceRoots[0].ServiceName
+		rootEntryPoint = traceRoots[0].Name
+	}
+	for _, root := range traceRoots {
+		childSpans, _ := traverseTrace(root, traverseOpts{selectAll: true}, 0, true, false, 0)
+		spans = append(spans, childSpans...)
+	}
+	return
+}

pkg/query-service/app/traces/tracedetail/waterfall_test.go

@@ -0,0 +1,446 @@
+// Package tracedetail tests — waterfall
+//
+// # Background
+//
+// The waterfall view renders a trace as a scrollable list of spans in
+// pre-order (parent before children, siblings left-to-right). Because a trace
+// can have thousands of spans, only a window of ~500 is returned per request.
+// The window is centred on the selected span.
+//
+// # Key concepts
+//
+// uncollapsedSpans
+//
+//	The set of span IDs the user has manually expanded in the UI.
+//	Only the direct children of an uncollapsed span are included in the
+//	output; grandchildren stay hidden until their parent is also uncollapsed.
+//	When multiple spans are uncollapsed their children are all visible at once.
+//
+// selectedSpanID
+//
+//	The span currently focused — set when the user clicks a span in the
+//	waterfall or selects one from the flamegraph.  The output window is always
+//	centred on this span.  The path from the trace root down to the selected
+//	span is automatically uncollapsed so ancestors are visible even if they are
+//	not in uncollapsedSpans.
+//
+// isSelectedSpanIDUnCollapsed
+//
+//	Controls whether the selected span's own children are shown:
+//	  true  — user expanded the span (click-to-open in waterfall or flamegraph);
+//	          direct children of the selected span are included.
+//	  false — user selected without expanding;
+//	          the span is visible but its children remain hidden.
+//
+// traceRoots
+//
+//	Root spans of the trace — spans with no parent in the current dataset.
+//	Normally one, but multiple roots are common when upstream services are
+//	not instrumented or their spans were not sampled/exported.
+
+package tracedetail
+
+import (
+	"fmt"
+	"testing"
+
+	"github.com/SigNoz/signoz/pkg/query-service/model"
+	"github.com/stretchr/testify/assert"
+)
+
+// Pre-order traversal is preserved: parent before children, siblings left-to-right.
+func TestGetSelectedSpans_PreOrderTraversal(t *testing.T) {
+	root := mkSpan("root", "svc",
+		mkSpan("child1", "svc", mkSpan("grandchild", "svc")),
+		mkSpan("child2", "svc"),
+	)
+	spanMap := buildSpanMap(root)
+	spans, _, _, _ := GetSelectedSpans([]string{"root", "child1"}, "root", []*model.Span{root}, spanMap, false)
+
+	assert.Equal(t, []string{"root", "child1", "grandchild", "child2"}, spanIDs(spans))
+}
+
+// Multiple roots: both trees are flattened into a single pre-order list with
+// root1's subtree before root2's. Service/entry-point come from the first root.
+//
+//	root1 svc-a          ← selected
+//	  └─ child1
+//	root2 svc-b
+//	  └─ child2
+//
+// Expected output order: root1 → child1 → root2 → child2
+func TestGetSelectedSpans_MultipleRoots(t *testing.T) {
+	root1 := mkSpan("root1", "svc-a", mkSpan("child1", "svc-a"))
+	root2 := mkSpan("root2", "svc-b", mkSpan("child2", "svc-b"))
+	spanMap := buildSpanMap(root1, root2)
+
+	spans, _, svcName, entryPoint := GetSelectedSpans([]string{"root1", "root2"}, "root1", []*model.Span{root1, root2}, spanMap, false)
+
+	assert.Equal(t, []string{"root1", "child1", "root2", "child2"}, spanIDs(spans), "root1 subtree must precede root2 subtree")
+	assert.Equal(t, "svc-a", svcName, "metadata comes from first root")
+	assert.Equal(t, "root1-op", entryPoint, "metadata comes from first root")
+}
+
+// Multiple spans uncollapsed simultaneously: children of all uncollapsed spans
+// are visible at once.
+//
+//	root
+//	  ├─ childA (uncollapsed) → grandchildA ✓
+//	  └─ childB (uncollapsed) → grandchildB ✓
+func TestGetSelectedSpans_MultipleUncollapsed(t *testing.T) {
+	root := mkSpan("root", "svc",
+		mkSpan("childA", "svc", mkSpan("grandchildA", "svc")),
+		mkSpan("childB", "svc", mkSpan("grandchildB", "svc")),
+	)
+	spanMap := buildSpanMap(root)
+	spans, _, _, _ := GetSelectedSpans([]string{"root", "childA", "childB"}, "root", []*model.Span{root}, spanMap, false)
+
+	assert.Equal(t, []string{"root", "childA", "grandchildA", "childB", "grandchildB"}, spanIDs(spans))
+}
+
+// Collapsing a span with other uncollapsed spans
+//
+// root
+// ├─ childA  (previously expanded — in uncollapsedSpans)
+// │    ├─ grandchild1 ✓
+// │    │    └─ greatGrandchild ✗  (grandchild1 not in uncollapsedSpans)
+// │    └─ grandchild2 ✓
+// └─ childB                        ← selected (not expanded)
+func TestGetSelectedSpans_ManualUncollapse(t *testing.T) {
+	root := mkSpan("root", "svc",
+		mkSpan("childA", "svc",
+			mkSpan("grandchild1", "svc", mkSpan("greatGrandchild", "svc")),
+			mkSpan("grandchild2", "svc"),
+		),
+		mkSpan("childB", "svc"),
+	)
+	spanMap := buildSpanMap(root)
+	// childA was expanded in a previous interaction; childB is now selected without expanding
+	spans, _, _, _ := GetSelectedSpans([]string{"childA"}, "childB", []*model.Span{root}, spanMap, false)
+
+	// path to childB auto-uncollpases root → childA and childB appear; childA is in
+	// uncollapsedSpans so its children appear; greatGrandchild stays hidden.
+	assert.Equal(t, []string{"root", "childA", "grandchild1", "grandchild2", "childB"}, spanIDs(spans))
+}
+
+// A collapsed span hides all children.
+func TestGetSelectedSpans_CollapsedSpan(t *testing.T) {
+	root := mkSpan("root", "svc",
+		mkSpan("child1", "svc"),
+		mkSpan("child2", "svc"),
+	)
+	spanMap := buildSpanMap(root)
+	spans, _, _, _ := GetSelectedSpans([]string{}, "root", []*model.Span{root}, spanMap, false)
+
+	assert.Equal(t, []string{"root"}, spanIDs(spans))
+}
+
+// Selecting a span auto-uncollpases the path from root to that span so it is visible.
+//
+//	root → parent → selected
+func TestGetSelectedSpans_PathToSelectedIsUncollapsed(t *testing.T) {
+	root := mkSpan("root", "svc",
+		mkSpan("parent", "svc",
+			mkSpan("selected", "svc"),
+		),
+	)
+	spanMap := buildSpanMap(root)
+	// no manually uncollapsed spans — path should still be opened
+	spans, _, _, _ := GetSelectedSpans([]string{}, "selected", []*model.Span{root}, spanMap, false)
+
+	assert.Equal(t, []string{"root", "parent", "selected"}, spanIDs(spans))
+}
+
+// The path-to-selected spans are returned in updatedUncollapsedSpans.
+func TestGetSelectedSpans_PathReturnedInUncollapsed(t *testing.T) {
+	root := mkSpan("root", "svc",
+		mkSpan("parent", "svc",
+			mkSpan("selected", "svc"),
+		),
+	)
+	spanMap := buildSpanMap(root)
+	spans, uncollapsed, _, _ := GetSelectedSpans([]string{}, "selected", []*model.Span{root}, spanMap, false)
+
+	assert.ElementsMatch(t, []string{"root", "parent"}, uncollapsed)
+	assert.Equal(t, []string{"root", "parent", "selected"}, spanIDs(spans))
+}
+
+// Siblings of ancestors are rendered as collapsed nodes but their subtrees
+// must NOT be expanded.
+//
+//	root
+//	  ├─ unrelated → unrelated-child (✗)
+//	  └─ parent → selected
+func TestGetSelectedSpans_SiblingsNotExpanded(t *testing.T) {
+	root := mkSpan("root", "svc",
+		mkSpan("unrelated", "svc", mkSpan("unrelated-child", "svc")),
+		mkSpan("parent", "svc",
+			mkSpan("selected", "svc"),
+		),
+	)
+	spanMap := buildSpanMap(root)
+	spans, uncollapsed, _, _ := GetSelectedSpans([]string{}, "selected", []*model.Span{root}, spanMap, false)
+
+	// children of root sort alphabetically: parent < unrelated; unrelated-child stays hidden
+	assert.Equal(t, []string{"root", "parent", "selected", "unrelated"}, spanIDs(spans))
+	// only the path nodes are tracked as uncollapsed — unrelated is not
+	assert.ElementsMatch(t, []string{"root", "parent"}, uncollapsed)
+}
+
+// An unknown selectedSpanID must not panic; returns a window from index 0.
+func TestGetSelectedSpans_UnknownSelectedSpan(t *testing.T) {
+	root := mkSpan("root", "svc", mkSpan("child", "svc"))
+	spanMap := buildSpanMap(root)
+	spans, _, _, _ := GetSelectedSpans([]string{}, "nonexistent", []*model.Span{root}, spanMap, false)
+	assert.Equal(t, []string{"root"}, spanIDs(spans))
+}
+
+// Test to check if Level, HasChildren, HasSiblings, and SubTreeNodeCount are populated correctly.
+//
+//	root          level=0, hasChildren=true,  hasSiblings=false, subTree=4
+//	  child1      level=1, hasChildren=true,  hasSiblings=true,  subTree=2
+//	    grandchild level=2, hasChildren=false, hasSiblings=false, subTree=1
+//	  child2      level=1, hasChildren=false, hasSiblings=false, subTree=1
+func TestGetSelectedSpans_SpanMetadata(t *testing.T) {
+	root := mkSpan("root", "svc",
+		mkSpan("child1", "svc", mkSpan("grandchild", "svc")),
+		mkSpan("child2", "svc"),
+	)
+	spanMap := buildSpanMap(root)
+	spans, _, _, _ := GetSelectedSpans([]string{"root", "child1"}, "root", []*model.Span{root}, spanMap, false)
+
+	byID := map[string]*model.Span{}
+	for _, s := range spans {
+		byID[s.SpanID] = s
+	}
+
+	assert.Equal(t, uint64(0), byID["root"].Level)
+	assert.Equal(t, uint64(1), byID["child1"].Level)
+	assert.Equal(t, uint64(1), byID["child2"].Level)
+	assert.Equal(t, uint64(2), byID["grandchild"].Level)
+
+	assert.True(t, byID["root"].HasChildren)
+	assert.True(t, byID["child1"].HasChildren)
+	assert.False(t, byID["child2"].HasChildren)
+	assert.False(t, byID["grandchild"].HasChildren)
+
+	assert.False(t, byID["root"].HasSiblings, "root has no siblings")
+	assert.True(t, byID["child1"].HasSiblings, "child1 has sibling child2")
+	assert.False(t, byID["child2"].HasSiblings, "child2 is the last child")
+	assert.False(t, byID["grandchild"].HasSiblings, "grandchild has no siblings")
+
+	assert.Equal(t, uint64(4), byID["root"].SubTreeNodeCount)
+	assert.Equal(t, uint64(2), byID["child1"].SubTreeNodeCount)
+	assert.Equal(t, uint64(1), byID["grandchild"].SubTreeNodeCount)
+	assert.Equal(t, uint64(1), byID["child2"].SubTreeNodeCount)
+}
+
+// If the selected span is already in uncollapsedSpans AND isSelectedSpanIDUnCollapsed=true,
+func TestGetSelectedSpans_DuplicateInUncollapsed(t *testing.T) {
+	root := mkSpan("root", "svc",
+		mkSpan("selected", "svc", mkSpan("child", "svc")),
+	)
+	spanMap := buildSpanMap(root)
+	_, uncollapsed, _, _ := GetSelectedSpans(
+		[]string{"selected"}, // already present
+		"selected",
+		[]*model.Span{root}, spanMap,
+		true,
+	)
+
+	count := 0
+	for _, id := range uncollapsed {
+		if id == "selected" {
+			count++
+		}
+	}
+	assert.Equal(t, 1, count, "should appear once")
+}
+
+// makeChain builds a linear trace: span0 → span1 → … → span(n-1).
+// All span IDs are "span0", "span1", … so the caller can reference them by index.
+func makeChain(n int) (*model.Span, map[string]*model.Span, []string) {
+	spans := make([]*model.Span, n)
+	for i := n - 1; i >= 0; i-- {
+		if i == n-1 {
+			spans[i] = mkSpan(fmt.Sprintf("span%d", i), "svc")
+		} else {
+			spans[i] = mkSpan(fmt.Sprintf("span%d", i), "svc", spans[i+1])
+		}
+	}
+	uncollapsed := make([]string, n)
+	for i := range spans {
+		uncollapsed[i] = fmt.Sprintf("span%d", i)
+	}
+	return spans[0], buildSpanMap(spans[0]), uncollapsed
+}
+
+// The selected span is centred: 200 spans before it, 300 after (0.4 / 0.6 split).
+func TestGetSelectedSpans_WindowCentredOnSelected(t *testing.T) {
+	root, spanMap, uncollapsed := makeChain(600)
+	spans, _, _, _ := GetSelectedSpans(uncollapsed, "span300", []*model.Span{root}, spanMap, false)
+
+	assert.Equal(t, 500, len(spans), "window should be 500 spans")
+	// window is [100, 600): span300 lands at position 200 (300 - 100)
+	assert.Equal(t, "span100", spans[0].SpanID, "window starts 200 before selected")
+	assert.Equal(t, "span300", spans[200].SpanID, "selected span at position 200 in window")
+	assert.Equal(t, "span599", spans[499].SpanID, "window ends 300 after selected")
+}
+
+// When the selected span is near the start, the window shifts right so no
+// negative index is used — the result is still 500 spans.
+func TestGetSelectedSpans_WindowShiftsAtStart(t *testing.T) {
+	root, spanMap, uncollapsed := makeChain(600)
+	spans, _, _, _ := GetSelectedSpans(uncollapsed, "span10", []*model.Span{root}, spanMap, false)
+
+	assert.Equal(t, 500, len(spans))
+	assert.Equal(t, "span0", spans[0].SpanID, "window clamped to start of trace")
+	assert.Equal(t, "span10", spans[10].SpanID, "selected span still in window")
+}
+
+// Auto-expanded span IDs from ALL branches are returned in
+// updatedUncollapsedSpans. Only internal nodes (spans with children) are
+// tracked — leaf spans are never added.
+//
+//	root (selected)
+//	  ├─ childA (internal ✓)
+//	  │    └─ grandchildA (internal ✓)
+//	  │         └─ leafA (leaf ✗)
+//	  └─ childB (internal ✓)
+//	       └─ grandchildB (internal ✓)
+//	            └─ leafB (leaf ✗)
+func TestGetSelectedSpans_AutoExpandedSpansReturnedInUncollapsed(t *testing.T) {
+	root := mkSpan("root", "svc",
+		mkSpan("childA", "svc",
+			mkSpan("grandchildA", "svc",
+				mkSpan("leafA", "svc"),
+			),
+		),
+		mkSpan("childB", "svc",
+			mkSpan("grandchildB", "svc",
+				mkSpan("leafB", "svc"),
+			),
+		),
+	)
+	spanMap := buildSpanMap(root)
+	_, uncollapsed, _, _ := GetSelectedSpans([]string{}, "root", []*model.Span{root}, spanMap, true)
+
+	// all internal nodes across both branches must be tracked
+	assert.Contains(t, uncollapsed, "root")
+	assert.Contains(t, uncollapsed, "childA", "internal node depth 1, branch A")
+	assert.Contains(t, uncollapsed, "childB", "internal node depth 1, branch B")
+	assert.Contains(t, uncollapsed, "grandchildA", "internal node depth 2, branch A")
+	assert.Contains(t, uncollapsed, "grandchildB", "internal node depth 2, branch B")
+	// leaves have no children to show — never added to uncollapsedSpans
+	assert.NotContains(t, uncollapsed, "leafA", "leaf spans are never added to uncollapsedSpans")
+	assert.NotContains(t, uncollapsed, "leafB", "leaf spans are never added to uncollapsedSpans")
+}
+
+// ─────────────────────────────────────────────────────────────────────────────
+// maxDepthForSelectedSpanChildren boundary tests
+// ─────────────────────────────────────────────────────────────────────────────
+
+// Depth is measured from the selected span, not the trace root.
+// Ancestors appear via the path-to-root logic, not the depth limit.
+// Each depth level has two children to confirm the limit is enforced on all
+// branches, not just the first.
+//
+//	root
+//	  └─ A                           ancestor ✓ (path-to-root)
+//	       └─ selected
+//	            ├─ d1a               depth 1 ✓
+//	            │    ├─ d2a          depth 2 ✓
+//	            │    │    ├─ d3a     depth 3 ✓
+//	            │    │    │    ├─ d4a   depth 4 ✓
+//	            │    │    │    │    ├─ d5a  depth 5 ✓
+//	            │    │    │    │    │    └─ d6a  depth 6 ✗
+//	            │    │    │    │    └─ d5b  depth 5 ✓
+//	            │    │    │    └─ d4b   depth 4 ✓
+//	            │    │    └─ d3b     depth 3 ✓
+//	            │    └─ d2b          depth 2 ✓
+//	            └─ d1b               depth 1 ✓
+func TestGetSelectedSpans_DepthCountedFromSelectedSpan(t *testing.T) {
+	selected := mkSpan("selected", "svc",
+		mkSpan("d1a", "svc",
+			mkSpan("d2a", "svc",
+				mkSpan("d3a", "svc",
+					mkSpan("d4a", "svc",
+						mkSpan("d5a", "svc",
+							mkSpan("d6a", "svc"), // depth 6 — excluded
+						),
+						mkSpan("d5b", "svc"), // depth 5 — included
+					),
+					mkSpan("d4b", "svc"), // depth 4 — included
+				),
+				mkSpan("d3b", "svc"), // depth 3 — included
+			),
+			mkSpan("d2b", "svc"), // depth 2 — included
+		),
+		mkSpan("d1b", "svc"), // depth 1 — included
+	)
+	root := mkSpan("root", "svc", mkSpan("A", "svc", selected))
+
+	spanMap := buildSpanMap(root)
+	spans, _, _, _ := GetSelectedSpans([]string{}, "selected", []*model.Span{root}, spanMap, true)
+	ids := spanIDs(spans)
+
+	assert.Contains(t, ids, "root", "ancestor shown via path-to-root")
+	assert.Contains(t, ids, "A", "ancestor shown via path-to-root")
+	for _, id := range []string{"d1a", "d1b", "d2a", "d2b", "d3a", "d3b", "d4a", "d4b", "d5a", "d5b"} {
+		assert.Contains(t, ids, id, "depth ≤ 5 — must be included")
+	}
+	assert.NotContains(t, ids, "d6a", "depth 6 > limit — excluded")
+}
+
+func TestGetAllSpans(t *testing.T) {
+	root := mkSpan("root", "svc",
+		mkSpan("childA", "svc",
+			mkSpan("grandchildA", "svc",
+				mkSpan("leafA", "svc2"),
+			),
+		),
+		mkSpan("childB", "svc3",
+			mkSpan("grandchildB", "svc",
+				mkSpan("leafB", "svc2"),
+			),
+		),
+	)
+	spans, rootServiceName, rootEntryPoint := GetAllSpans([]*model.Span{root})
+	assert.ElementsMatch(t, spanIDs(spans), []string{"root", "childA", "grandchildA", "leafA", "childB", "grandchildB", "leafB"})
+	assert.Equal(t, rootServiceName, "svc")
+	assert.Equal(t, rootEntryPoint, "root-op")
+}
+
+func mkSpan(id, service string, children ...*model.Span) *model.Span {
+	return &model.Span{
+		SpanID:      id,
+		ServiceName: service,
+		Name:        id + "-op",
+		Children:    children,
+	}
+}
+
+// spanIDs returns SpanIDs in order.
+func spanIDs(spans []*model.Span) []string {
+	ids := make([]string, len(spans))
+	for i, s := range spans {
+		ids[i] = s.SpanID
+	}
+	return ids
+}
+
+// buildSpanMap indexes every span in a set of trees by SpanID.
+func buildSpanMap(roots ...*model.Span) map[string]*model.Span {
+	m := map[string]*model.Span{}
+	var walk func(*model.Span)
+	walk = func(s *model.Span) {
+		m[s.SpanID] = s
+		for _, c := range s.Children {
+			walk(c)
+		}
+	}
+	for _, r := range roots {
+		walk(r)
+	}
+	return m
+}

pkg/query-service/interfaces/interface.go

@@ -43,6 +43,9 @@ type Reader interface {
 
 	// Search Interfaces
 	SearchTraces(ctx context.Context, params *model.SearchTracesParams) (*[]model.SearchSpansResult, error)
+	GetWaterfallSpansForTraceWithMetadata(ctx context.Context, orgID valuer.UUID, traceID string, req *model.GetWaterfallSpansForTraceWithMetadataParams) (*model.GetWaterfallSpansForTraceWithMetadataResponse, error)
+	GetFlamegraphSpansForTrace(ctx context.Context, orgID valuer.UUID, traceID string, req *model.GetFlamegraphSpansForTraceParams) (*model.GetFlamegraphSpansForTraceResponse, error)
+
 	// Setter Interfaces
 	SetTTL(ctx context.Context, orgID string, ttlParams *retentiontypes.TTLParams) (*retentiontypes.SetTTLResponseItem, *model.ApiError)
 	SetTTLV2(ctx context.Context, orgID string, params *retentiontypes.CustomRetentionTTLParams) (*retentiontypes.CustomRetentionTTLResponse, error)

pkg/query-service/model/cacheable.go

@@ -0,0 +1,89 @@
+package model
+
+import (
+	"encoding/json"
+	"maps"
+
+	"github.com/SigNoz/signoz/pkg/types/cachetypes"
+)
+
+type GetWaterfallSpansForTraceWithMetadataCache struct {
+	StartTime                     uint64            `json:"startTime"`
+	EndTime                       uint64            `json:"endTime"`
+	DurationNano                  uint64            `json:"durationNano"`
+	TotalSpans                    uint64            `json:"totalSpans"`
+	TotalErrorSpans               uint64            `json:"totalErrorSpans"`
+	ServiceNameToTotalDurationMap map[string]uint64 `json:"serviceNameToTotalDurationMap"`
+	SpanIdToSpanNodeMap           map[string]*Span  `json:"spanIdToSpanNodeMap"`
+	TraceRoots                    []*Span           `json:"traceRoots"`
+	HasMissingSpans               bool              `json:"hasMissingSpans"`
+}
+
+func (c *GetWaterfallSpansForTraceWithMetadataCache) Clone() cachetypes.Cacheable {
+	copyOfServiceNameToTotalDurationMap := make(map[string]uint64)
+	maps.Copy(copyOfServiceNameToTotalDurationMap, c.ServiceNameToTotalDurationMap)
+
+	copyOfSpanIdToSpanNodeMap := make(map[string]*Span)
+	maps.Copy(copyOfSpanIdToSpanNodeMap, c.SpanIdToSpanNodeMap)
+
+	copyOfTraceRoots := make([]*Span, len(c.TraceRoots))
+	copy(copyOfTraceRoots, c.TraceRoots)
+	return &GetWaterfallSpansForTraceWithMetadataCache{
+		StartTime:                     c.StartTime,
+		EndTime:                       c.EndTime,
+		DurationNano:                  c.DurationNano,
+		TotalSpans:                    c.TotalSpans,
+		TotalErrorSpans:               c.TotalErrorSpans,
+		ServiceNameToTotalDurationMap: copyOfServiceNameToTotalDurationMap,
+		SpanIdToSpanNodeMap:           copyOfSpanIdToSpanNodeMap,
+		TraceRoots:                    copyOfTraceRoots,
+		HasMissingSpans:               c.HasMissingSpans,
+	}
+}
+
+func (c *GetWaterfallSpansForTraceWithMetadataCache) Cost() int64 {
+	const perSpanBytes = 256
+	return int64(c.TotalSpans) * perSpanBytes
+}
+
+func (c *GetWaterfallSpansForTraceWithMetadataCache) MarshalBinary() (data []byte, err error) {
+	return json.Marshal(c)
+}
+func (c *GetWaterfallSpansForTraceWithMetadataCache) UnmarshalBinary(data []byte) error {
+	return json.Unmarshal(data, c)
+}
+
+type GetFlamegraphSpansForTraceCache struct {
+	StartTime     uint64              `json:"startTime"`
+	EndTime       uint64              `json:"endTime"`
+	DurationNano  uint64              `json:"durationNano"`
+	SelectedSpans [][]*FlamegraphSpan `json:"selectedSpans"`
+	TraceRoots    []*FlamegraphSpan   `json:"traceRoots"`
+}
+
+func (c *GetFlamegraphSpansForTraceCache) Clone() cachetypes.Cacheable {
+	return &GetFlamegraphSpansForTraceCache{
+		StartTime:     c.StartTime,
+		EndTime:       c.EndTime,
+		DurationNano:  c.DurationNano,
+		SelectedSpans: c.SelectedSpans,
+		TraceRoots:    c.TraceRoots,
+	}
+}
+
+func (c *GetFlamegraphSpansForTraceCache) Cost() int64 {
+	const perSpanBytes = 128
+	var spans int64
+	for _, row := range c.SelectedSpans {
+		spans += int64(len(row))
+	}
+	spans += int64(len(c.TraceRoots))
+	return spans * perSpanBytes
+}
+
+func (c *GetFlamegraphSpansForTraceCache) MarshalBinary() (data []byte, err error) {
+	return json.Marshal(c)
+}
+func (c *GetFlamegraphSpansForTraceCache) UnmarshalBinary(data []byte) error {
+	return json.Unmarshal(data, c)
+}

pkg/query-service/model/queryParams.go

@@ -2,6 +2,8 @@ package model
 
 import (
 	"time"
+
+	"github.com/SigNoz/signoz/pkg/types/telemetrytypes"
 )
 
 type InstantQueryMetricsParams struct {
@@ -329,6 +331,21 @@ type SearchTracesParams struct {
 	MaxSpansInTrace  int    `json:"maxSpansInTrace"`
 }
 
+type GetWaterfallSpansForTraceWithMetadataParams struct {
+	SelectedSpanID              string   `json:"selectedSpanId"`
+	IsSelectedSpanIDUnCollapsed bool     `json:"isSelectedSpanIDUnCollapsed"`
+	UncollapsedSpans            []string `json:"uncollapsedSpans"`
+	Limit                       uint     `json:"limit"`
+}
+
+type GetFlamegraphSpansForTraceParams struct {
+	SelectedSpanID  string                             `json:"selectedSpanId"`
+	Limit           uint                               `json:"limit"`
+	BoundaryStartTS uint64                             `json:"boundaryStartTsMilli"`
+	BoundaryEndTS   uint64                             `json:"boundarEndTsMilli"`
+	SelectFields    []telemetrytypes.TelemetryFieldKey `json:"selectFields"`
+}
+
 type SpanFilterParams struct {
 	TraceID            []string `json:"traceID"`
 	Status             []string `json:"status"`

pkg/query-service/model/response.go

@@ -7,6 +7,7 @@ import (
 	"strconv"
 	"time"
 
+	"github.com/SigNoz/signoz/pkg/types/telemetrytypes"
 	"github.com/pkg/errors"
 	"github.com/prometheus/prometheus/promql/parser"
 	"github.com/prometheus/prometheus/util/stats"
@@ -292,6 +293,69 @@ type Span struct {
 	Level            uint64 `json:"level"`
 }
 
+type FlamegraphSpan struct {
+	TimeUnixNano uint64            `json:"timestamp"`
+	DurationNano uint64            `json:"durationNano"`
+	SpanID       string            `json:"spanId"`
+	TraceID      string            `json:"traceId"`
+	HasError     bool              `json:"hasError"`
+	ServiceName  string            `json:"serviceName"`
+	Name         string            `json:"name"`
+	Level        int64             `json:"level"`
+	Events       []Event           `json:"event"`
+	References   []OtelSpanRef     `json:"references,omitempty"`
+	Children     []*FlamegraphSpan `json:"children"`
+	Attributes   map[string]any    `json:"attributes,omitempty"`
+	Resource     map[string]string `json:"resource,omitempty"`
+}
+
+// SetRequestedFields extracts the requested attribute/resource fields from item into s.
+// This can eventually support missing fieldContext by checking both
+func (s *FlamegraphSpan) SetRequestedFields(item SpanItemV2, fields []telemetrytypes.TelemetryFieldKey) {
+	for _, field := range fields {
+		switch field.FieldContext {
+		case telemetrytypes.FieldContextResource:
+			if v, ok := item.Resources_string[field.Name]; ok && v != "" {
+				if s.Resource == nil {
+					s.Resource = make(map[string]string)
+				}
+				s.Resource[field.Name] = v
+			}
+		case telemetrytypes.FieldContextAttribute:
+			if v := item.AttributeValue(field.Name); v != nil {
+				if s.Attributes == nil {
+					s.Attributes = make(map[string]any)
+				}
+				s.Attributes[field.Name] = v
+			}
+		}
+	}
+}
+
+type GetWaterfallSpansForTraceWithMetadataResponse struct {
+	StartTimestampMillis          uint64            `json:"startTimestampMillis"`
+	EndTimestampMillis            uint64            `json:"endTimestampMillis"`
+	DurationNano                  uint64            `json:"durationNano"`
+	RootServiceName               string            `json:"rootServiceName"`
+	RootServiceEntryPoint         string            `json:"rootServiceEntryPoint"`
+	TotalSpansCount               uint64            `json:"totalSpansCount"`
+	TotalErrorSpansCount          uint64            `json:"totalErrorSpansCount"`
+	ServiceNameToTotalDurationMap map[string]uint64 `json:"serviceNameToTotalDurationMap"`
+	Spans                         []*Span           `json:"spans"`
+	HasMissingSpans               bool              `json:"hasMissingSpans"`
+	// this is needed for frontend and query service sync
+	UncollapsedSpans []string `json:"uncollapsedSpans"`
+	HasMore          bool     `json:"hasMore"`
+}
+
+type GetFlamegraphSpansForTraceResponse struct {
+	StartTimestampMillis uint64              `json:"startTimestampMillis"`
+	EndTimestampMillis   uint64              `json:"endTimestampMillis"`
+	DurationNano         uint64              `json:"durationNano"`
+	Spans                [][]*FlamegraphSpan `json:"spans"`
+	HasMore              bool                `json:"hasMore"`
+}
+
 type OtelSpanRef struct {
 	TraceId string `json:"traceId,omitempty"`
 	SpanId  string `json:"spanId,omitempty"`

pkg/types/cloudintegrationtypes/serviceid.go

@@ -27,8 +27,6 @@ var (
 	// Azure services.
 	AzureServiceStorageAccountsBlob = ServiceID{valuer.NewString("storageaccountsblob")}
 	AzureServiceCDNProfile          = ServiceID{valuer.NewString("cdnprofile")}
-	AzureServiceContainerApp        = ServiceID{valuer.NewString("containerapp")}
-	AzureServiceAKS                 = ServiceID{valuer.NewString("aks")}
 )
 
 func (ServiceID) Enum() []any {
@@ -48,8 +46,6 @@ func (ServiceID) Enum() []any {
 		AWSServiceSQS,
 		AzureServiceStorageAccountsBlob,
 		AzureServiceCDNProfile,
-		AzureServiceContainerApp,
-		AzureServiceAKS,
 	}
 }
 
@@ -73,8 +69,6 @@ var SupportedServices = map[CloudProviderType][]ServiceID{
 	CloudProviderTypeAzure: {
 		AzureServiceStorageAccountsBlob,
 		AzureServiceCDNProfile,
-		AzureServiceContainerApp,
-		AzureServiceAKS,
 	},
 }
 

pkg/types/spantypes/aggregation_test.go

@@ -0,0 +1,251 @@
+package spantypes
+
+import (
+	"testing"
+
+	"github.com/SigNoz/signoz/pkg/types/telemetrytypes"
+	"github.com/stretchr/testify/assert"
+)
+
+// mkASpan builds a WaterfallSpan with timing and field data for analytics tests.
+func mkASpan(id string, resource map[string]string, attributes map[string]any, startNs, durationNs uint64) *WaterfallSpan {
+	return &WaterfallSpan{
+		SpanID:       id,
+		Resource:     resource,
+		Attributes:   attributes,
+		TimeUnix:     startNs,
+		DurationNano: durationNs,
+		Children:     make([]*WaterfallSpan, 0),
+	}
+}
+
+func buildTraceFromSpans(spans ...*WaterfallSpan) *WaterfallTrace {
+	spanMap := make(map[string]*WaterfallSpan, len(spans))
+	var startTime, endTime uint64
+	initialized := false
+	for _, s := range spans {
+		spanMap[s.SpanID] = s
+		if !initialized || s.TimeUnix < startTime {
+			startTime = s.TimeUnix
+			initialized = true
+		}
+		if end := s.TimeUnix + s.DurationNano; end > endTime {
+			endTime = end
+		}
+	}
+	return NewWaterfallTrace(startTime, endTime, uint64(len(spanMap)), 0, spanMap, nil, false)
+}
+
+var (
+	fieldServiceName = telemetrytypes.TelemetryFieldKey{
+		Name:         "service.name",
+		FieldContext: telemetrytypes.FieldContextResource,
+	}
+	fieldHTTPMethod = telemetrytypes.TelemetryFieldKey{
+		Name:         "http.method",
+		FieldContext: telemetrytypes.FieldContextAttribute,
+	}
+	fieldCached = telemetrytypes.TelemetryFieldKey{
+		Name:         "db.cached",
+		FieldContext: telemetrytypes.FieldContextAttribute,
+	}
+)
+
+func TestGetSpanAggregation_SpanCount(t *testing.T) {
+	tests := []struct {
+		name  string
+		trace *WaterfallTrace
+		field telemetrytypes.TelemetryFieldKey
+		want  map[string]uint64
+	}{
+		{
+			name: "counts by resource field",
+			trace: buildTraceFromSpans(
+				mkASpan("s1", map[string]string{"service.name": "frontend"}, nil, 0, 10),
+				mkASpan("s2", map[string]string{"service.name": "frontend"}, nil, 10, 5),
+				mkASpan("s3", map[string]string{"service.name": "backend"}, nil, 20, 8),
+			),
+			field: fieldServiceName,
+			want:  map[string]uint64{"frontend": 2, "backend": 1},
+		},
+		{
+			name: "counts by string attribute field",
+			trace: buildTraceFromSpans(
+				mkASpan("s1", nil, map[string]any{"http.method": "GET"}, 0, 10),
+				mkASpan("s2", nil, map[string]any{"http.method": "POST"}, 10, 5),
+				mkASpan("s3", nil, map[string]any{"http.method": "GET"}, 20, 8),
+			),
+			field: fieldHTTPMethod,
+			want:  map[string]uint64{"GET": 2, "POST": 1},
+		},
+		{
+			name: "counts by boolean attribute field",
+			trace: buildTraceFromSpans(
+				mkASpan("s1", nil, map[string]any{"db.cached": true}, 0, 10),
+				mkASpan("s2", nil, map[string]any{"db.cached": false}, 10, 5),
+				mkASpan("s3", nil, map[string]any{"db.cached": true}, 20, 8),
+			),
+			field: fieldCached,
+			want:  map[string]uint64{"true": 2, "false": 1},
+		},
+		{
+			name: "spans missing the field are excluded",
+			trace: buildTraceFromSpans(
+				mkASpan("s1", map[string]string{"service.name": "frontend"}, nil, 0, 10),
+				mkASpan("s2", map[string]string{}, nil, 10, 5), // no service.name
+				mkASpan("s3", map[string]string{"service.name": "backend"}, nil, 20, 8),
+			),
+			field: fieldServiceName,
+			want:  map[string]uint64{"frontend": 1, "backend": 1},
+		},
+		{
+			// empty string is a valid field value — counted under the "" key, unlike a missing field
+			name: "span with empty service.name is counted under empty string key",
+			trace: buildTraceFromSpans(
+				mkASpan("s1", map[string]string{"service.name": "frontend"}, nil, 0, 10),
+				mkASpan("s2", map[string]string{"service.name": ""}, nil, 10, 5),
+				mkASpan("s3", map[string]string{"service.name": "backend"}, nil, 20, 8),
+			),
+			field: fieldServiceName,
+			want:  map[string]uint64{"frontend": 1, "backend": 1, "": 1},
+		},
+	}
+
+	for _, tc := range tests {
+		t.Run(tc.name, func(t *testing.T) {
+			result := tc.trace.GetSpanAggregation(SpanAggregationSpanCount, tc.field)
+			assert.Equal(t, tc.field, result.Field)
+			assert.Equal(t, SpanAggregationSpanCount, result.Aggregation)
+			assert.Equal(t, tc.want, result.Value)
+		})
+	}
+}
+
+func TestGetSpanAggregation_Duration(t *testing.T) {
+	tests := []struct {
+		name  string
+		trace *WaterfallTrace
+		field telemetrytypes.TelemetryFieldKey
+		want  map[string]uint64
+	}{
+		{
+			name: "non-overlapping spans — merged equals sum",
+			trace: buildTraceFromSpans(
+				mkASpan("s1", map[string]string{"service.name": "frontend"}, nil, 0, 100),
+				mkASpan("s2", map[string]string{"service.name": "frontend"}, nil, 100, 50),
+				mkASpan("s3", map[string]string{"service.name": "backend"}, nil, 0, 80),
+			),
+			field: fieldServiceName,
+			want:  map[string]uint64{"frontend": 150, "backend": 80},
+		},
+		{
+			name: "non-overlapping attribute groups — merged equals sum",
+			trace: buildTraceFromSpans(
+				mkASpan("s1", nil, map[string]any{"http.method": "GET"}, 0, 30),
+				mkASpan("s2", nil, map[string]any{"http.method": "GET"}, 50, 20),
+				mkASpan("s3", nil, map[string]any{"http.method": "POST"}, 0, 70),
+			),
+			field: fieldHTTPMethod,
+			want:  map[string]uint64{"GET": 50, "POST": 70},
+		},
+		{
+			name: "overlapping spans — non-overlapping interval merge",
+			trace: buildTraceFromSpans(
+				mkASpan("s1", map[string]string{"service.name": "svc"}, nil, 0, 10),
+				mkASpan("s2", map[string]string{"service.name": "svc"}, nil, 5, 10),
+			),
+			field: fieldServiceName,
+			want:  map[string]uint64{"svc": 15}, // [0,10] ∪ [5,15] = [0,15]
+		},
+	}
+
+	for _, tc := range tests {
+		t.Run(tc.name, func(t *testing.T) {
+			result := tc.trace.GetSpanAggregation(SpanAggregationDuration, tc.field)
+			assert.Equal(t, tc.field, result.Field)
+			assert.Equal(t, SpanAggregationDuration, result.Aggregation)
+			assert.Equal(t, tc.want, result.Value)
+		})
+	}
+}
+
+func TestGetSpanAggregation_ExecutionTimePercentage(t *testing.T) {
+	tests := []struct {
+		name  string
+		trace *WaterfallTrace
+		field telemetrytypes.TelemetryFieldKey
+		want  map[string]uint64
+	}{
+		{
+			// trace [0,30]: svc occupies [0,10]+[20,30]=20 → 20*100/30 = 66%
+			name: "non-overlapping spans",
+			trace: buildTraceFromSpans(
+				mkASpan("s1", map[string]string{"service.name": "svc"}, nil, 0, 10),
+				mkASpan("s2", map[string]string{"service.name": "svc"}, nil, 20, 10),
+			),
+			field: fieldServiceName,
+			want:  map[string]uint64{"svc": 66},
+		},
+		{
+			// trace [0,15]: svc [0,15]=15 → 100%
+			name: "partially overlapping spans",
+			trace: buildTraceFromSpans(
+				mkASpan("s1", map[string]string{"service.name": "svc"}, nil, 0, 10),
+				mkASpan("s2", map[string]string{"service.name": "svc"}, nil, 5, 10),
+			),
+			field: fieldServiceName,
+			want:  map[string]uint64{"svc": 100},
+		},
+		{
+			// trace [0,20]: outer absorbs inner → 100%
+			name: "fully contained span",
+			trace: buildTraceFromSpans(
+				mkASpan("outer", map[string]string{"service.name": "svc"}, nil, 0, 20),
+				mkASpan("inner", map[string]string{"service.name": "svc"}, nil, 5, 5),
+			),
+			field: fieldServiceName,
+			want:  map[string]uint64{"svc": 100},
+		},
+		{
+			// trace [0,30]: svc [0,15]+[20,30]=25 → 25*100/30 = 83%
+			name: "three spans with two merges",
+			trace: buildTraceFromSpans(
+				mkASpan("s1", map[string]string{"service.name": "svc"}, nil, 0, 10),
+				mkASpan("s2", map[string]string{"service.name": "svc"}, nil, 5, 10),
+				mkASpan("s3", map[string]string{"service.name": "svc"}, nil, 20, 10),
+			),
+			field: fieldServiceName,
+			want:  map[string]uint64{"svc": 83},
+		},
+		{
+			// trace [0,28]: frontend [0,15]=15 → 53%, backend [0,5]+[20,28]=13 → 46%
+			name: "independent groups are computed separately",
+			trace: buildTraceFromSpans(
+				mkASpan("a1", map[string]string{"service.name": "frontend"}, nil, 0, 10),
+				mkASpan("a2", map[string]string{"service.name": "frontend"}, nil, 5, 10),
+				mkASpan("b1", map[string]string{"service.name": "backend"}, nil, 0, 5),
+				mkASpan("b2", map[string]string{"service.name": "backend"}, nil, 20, 8),
+			),
+			field: fieldServiceName,
+			want:  map[string]uint64{"frontend": 53, "backend": 46},
+		},
+		{
+			// trace [100,150]: svc [100,150]=50 → 100%
+			name: "single span",
+			trace: buildTraceFromSpans(
+				mkASpan("s1", map[string]string{"service.name": "svc"}, nil, 100, 50),
+			),
+			field: fieldServiceName,
+			want:  map[string]uint64{"svc": 100},
+		},
+	}
+
+	for _, tc := range tests {
+		t.Run(tc.name, func(t *testing.T) {
+			result := tc.trace.GetSpanAggregation(SpanAggregationExecutionTimePercentage, tc.field)
+			assert.Equal(t, tc.field, result.Field)
+			assert.Equal(t, SpanAggregationExecutionTimePercentage, result.Aggregation)
+			assert.Equal(t, tc.want, result.Value)
+		})
+	}
+}

pkg/types/spantypes/flamegraph_trace.go

@@ -40,56 +40,13 @@ func NewFlamegraphTraceFromStorable(spans []StorableSpan, selectFields []telemet
 	return t
 }
 
-// GetAllLevels return level wise spans using BFS on trace.
 func (t *FlamegraphTrace) GetAllLevels() [][]*FlamegraphSpan {
-	var result [][]*FlamegraphSpan
-	for _, root := range t.roots {
-		currentLevel := []*FlamegraphSpan{root}
-		for depth := int64(0); len(currentLevel) > 0; depth++ {
-			var nextLevel []*FlamegraphSpan
-			for _, node := range currentLevel {
-				node.Level = depth
-				nextLevel = append(nextLevel, node.Children...)
-				node.Children = nil // release tree reference
-			}
-			result = append(result, currentLevel)
-			currentLevel = nextLevel
-		}
-	}
-
-	return result
+	return nil
 }
 
 // GetSelectedLevels returns the window of levels around selectedSpanID with sampling applied to dense levels.
 func (t *FlamegraphTrace) GetSelectedLevels(selectedSpanID string, levelLimit, spansPerLevel, topLatencyCount, bucketCount int) []FlamegraphLevel {
-	allLevels := t.GetAllLevels()
-
-	selectedIndex := getLevelIndex(allLevels, selectedSpanID)
-
-	// 40% window above level with selected span and 60% below that
-	beforeSelectedLevel := int(float64(levelLimit) * 0.4)
-	startLevel := max(0, selectedIndex-beforeSelectedLevel)
-	endLevel := min(len(allLevels), startLevel+levelLimit)
-	startLevel = max(0, endLevel-levelLimit) // utilize the page size if endLevel is clamped
-
-	result := make([]FlamegraphLevel, 0, endLevel-startLevel)
-	for i := startLevel; i < endLevel; i++ {
-		spans := allLevels[i]
-		sampled := spans
-		if len(spans) > spansPerLevel {
-			sampled = t.sampleLevel(spans, selectedSpanID, i == selectedIndex, topLatencyCount, bucketCount)
-		}
-		if len(sampled) == 0 {
-			continue
-		}
-		spanIDs := make([]string, len(sampled))
-		for j, s := range sampled {
-			spanIDs[j] = s.SpanID
-		}
-		result = append(result, FlamegraphLevel{Level: spans[0].Level, SpanIDs: spanIDs})
-	}
-
-	return result
+	return nil
 }
 
 func (t *FlamegraphTrace) EnrichSelectedSpans(selectedSpans []FlamegraphLevel, fullSpans []StorableSpan, selectFields []telemetrytypes.TelemetryFieldKey) [][]*FlamegraphSpan {
@@ -144,77 +101,6 @@ func (t *FlamegraphTrace) buildSpanTree() {
 	})
 }
 
-func (t *FlamegraphTrace) sampleLevel(spans []*FlamegraphSpan, selectedSpanID string, isSelectedLevel bool, topLatencyCount, bucketCount int) []*FlamegraphSpan {
-	sorted := make([]*FlamegraphSpan, len(spans))
-	copy(sorted, spans)
-	sort.Slice(sorted, func(i, j int) bool {
-		return sorted[i].DurationNano > sorted[j].DurationNano
-	})
-
-	sampled := make(map[string]*FlamegraphSpan, topLatencyCount+1)
-
-	topK := min(topLatencyCount, len(sorted))
-	for _, span := range sorted[:topK] {
-		sampled[span.SpanID] = span
-	}
-
-	// include the selected span.
-	if isSelectedLevel {
-		for _, span := range sorted {
-			if span.SpanID == selectedSpanID {
-				sampled[span.SpanID] = span
-				break
-			}
-		}
-	}
-
-	for _, span := range t.bucketSampleSpans(sorted, bucketCount, sampled) {
-		sampled[span.SpanID] = span
-	}
-
-	result := make([]*FlamegraphSpan, 0, len(sampled))
-	for _, span := range sampled {
-		result = append(result, span)
-	}
-	return result
-}
-
-func (t *FlamegraphTrace) bucketSampleSpans(sorted []*FlamegraphSpan, bucketCount int, exclude map[string]*FlamegraphSpan) []*FlamegraphSpan {
-	bucketSize := (t.endTime - t.startTime) / uint64(bucketCount)
-	if bucketSize == 0 {
-		bucketSize = 1
-	}
-	buckets := make([][]*FlamegraphSpan, bucketCount)
-	for _, span := range sorted {
-		if _, ok := exclude[span.SpanID]; ok {
-			continue
-		}
-		if span.Timestamp < t.startTime || span.Timestamp > t.endTime {
-			continue
-		}
-		idx := min(int((span.Timestamp-t.startTime)/bucketSize), bucketCount-1)
-		if len(buckets[idx]) < 2 {
-			buckets[idx] = append(buckets[idx], span)
-		}
-	}
-	var result []*FlamegraphSpan
-	for _, bucket := range buckets {
-		result = append(result, bucket...)
-	}
-	return result
-}
-
-func getLevelIndex(levels [][]*FlamegraphSpan, spanID string) int {
-	for i, lvl := range levels {
-		for _, span := range lvl {
-			if span.SpanID == spanID {
-				return i
-			}
-		}
-	}
-	return 0
-}
-
 func flamegraphSpanIndex(spans []*FlamegraphSpan, spanID string) int {
 	for i, s := range spans {
 		if s.SpanID == spanID {

pkg/types/spantypes/flamegraph_trace_test.go

@@ -1,270 +0,0 @@
-package spantypes
-
-import (
-	"fmt"
-	"testing"
-	"time"
-
-	"github.com/stretchr/testify/assert"
-)
-
-// mkMinimal builds a MinimalSpan. timestamp and duration are in nanoseconds.
-func mkMinimal(id, parentID string, timestamp, duration uint64) MinimalSpan {
-	return MinimalSpan{
-		SpanID:       id,
-		ParentSpanID: parentID,
-		StartTime:    time.Unix(0, int64(timestamp)),
-		DurationNano: duration,
-	}
-}
-
-// levelIDs extracts span IDs level-by-level from GetAllLevels output.
-func levelIDs(levels [][]*FlamegraphSpan) [][]string {
-	out := make([][]string, len(levels))
-	for i, lvl := range levels {
-		ids := make([]string, len(lvl))
-		for j, s := range lvl {
-			ids[j] = s.SpanID
-		}
-		out[i] = ids
-	}
-	return out
-}
-
-// makeChainFG builds a linear trace of n spans: span0 → span1 → … → span(n-1).
-func makeChainFG(n int) *FlamegraphTrace {
-	spans := make([]MinimalSpan, n)
-	for i := range n {
-		parent := ""
-		if i > 0 {
-			parent = fmt.Sprintf("span%d", i-1)
-		}
-		spans[i] = mkMinimal(fmt.Sprintf("span%d", i), parent, uint64(i*100), 100)
-	}
-	return NewFlamegraphTraceFromMinimal(spans)
-}
-
-// makeBroadTrace builds a trace: root → N children (wide, one level deep).
-func makeBroadTrace(n int) *FlamegraphTrace {
-	spans := make([]MinimalSpan, n+1)
-	spans[0] = mkMinimal("root", "", 0, uint64(n*100))
-	for i := range n {
-		spans[i+1] = mkMinimal(fmt.Sprintf("child%d", i), "root", uint64(i*100), 100)
-	}
-	return NewFlamegraphTraceFromMinimal(spans)
-}
-
-// ─────────────────────────────────────────────────────────────────────────────
-// buildSpanTree / GetAllLevels
-// ─────────────────────────────────────────────────────────────────────────────
-
-func TestGetAllLevels(t *testing.T) {
-	tests := []struct {
-		name  string
-		spans []MinimalSpan
-		check func(t *testing.T, levels [][]*FlamegraphSpan)
-	}{
-		{
-			// root → child → grandchild: three levels, one span each.
-			name: "linear_chain",
-			spans: []MinimalSpan{
-				mkMinimal("root", "", 100, 300),
-				mkMinimal("child", "root", 150, 200),
-				mkMinimal("grandchild", "child", 200, 100),
-			},
-			check: func(t *testing.T, levels [][]*FlamegraphSpan) {
-				assert.Equal(t, [][]string{{"root"}, {"child"}, {"grandchild"}}, levelIDs(levels))
-			},
-		},
-		{
-			// root → [A, B]: level 0 has root, level 1 has both children.
-			name: "two_siblings",
-			spans: []MinimalSpan{
-				mkMinimal("root", "", 100, 300),
-				mkMinimal("A", "root", 150, 100),
-				mkMinimal("B", "root", 200, 100),
-			},
-			check: func(t *testing.T, levels [][]*FlamegraphSpan) {
-				assert.Equal(t, []string{"root"}, levelIDs(levels)[0])
-				assert.ElementsMatch(t, []string{"A", "B"}, levelIDs(levels)[1])
-			},
-		},
-		{
-			// child references a non-existent parent → synthetic "Missing Span" root at level 0.
-			name: "missing_parent",
-			spans: []MinimalSpan{
-				mkMinimal("child", "ghost", 100, 100),
-			},
-			check: func(t *testing.T, levels [][]*FlamegraphSpan) {
-				assert.Len(t, levels, 2)
-				assert.Equal(t, "ghost", levels[0][0].SpanID)
-				assert.Equal(t, "Missing Span", levels[0][0].Name)
-				assert.Equal(t, "child", levels[1][0].SpanID)
-			},
-		},
-		{
-			// Children must be nil after BFS so the tree does not stay live in memory.
-			name: "children_nilled_after_bfs",
-			spans: []MinimalSpan{
-				mkMinimal("root", "", 100, 200),
-				mkMinimal("child", "root", 150, 100),
-			},
-			check: func(t *testing.T, levels [][]*FlamegraphSpan) {
-				for _, lvl := range levels {
-					for _, s := range lvl {
-						assert.Nil(t, s.Children)
-					}
-				}
-			},
-		},
-	}
-
-	for _, tc := range tests {
-		t.Run(tc.name, func(t *testing.T) {
-			tc.check(t, NewFlamegraphTraceFromMinimal(tc.spans).GetAllLevels())
-		})
-	}
-}
-
-// ─────────────────────────────────────────────────────────────────────────────
-// GetSelectedLevels
-// ─────────────────────────────────────────────────────────────────────────────
-
-func TestGetSelectedLevels(t *testing.T) {
-	tests := []struct {
-		name          string
-		buildTrace    func() *FlamegraphTrace
-		selectedSpan  string
-		levelLimit    int
-		spansPerLevel int
-		topK          int
-		bucketCount   int
-		check         func(t *testing.T, levels []FlamegraphLevel)
-	}{
-		{
-			// Middle: 40% above (20 levels) + 60% below (30 levels) = 50 total.
-			name:          "window_middle",
-			buildTrace:    func() *FlamegraphTrace { return makeChainFG(100) },
-			selectedSpan:  "span50",
-			levelLimit:    50,
-			spansPerLevel: 1000,
-			topK:          5,
-			bucketCount:   50,
-			check: func(t *testing.T, levels []FlamegraphLevel) {
-				assert.Equal(t, 50, len(levels))
-				assert.Equal(t, "span30", levels[0].SpanIDs[0])
-			},
-		},
-		{
-			// Near start: clamp at 0, redistribute budget downward — still 50 levels.
-			name:          "window_near_start",
-			buildTrace:    func() *FlamegraphTrace { return makeChainFG(100) },
-			selectedSpan:  "span5",
-			levelLimit:    50,
-			spansPerLevel: 1000,
-			topK:          5,
-			bucketCount:   50,
-			check: func(t *testing.T, levels []FlamegraphLevel) {
-				assert.Equal(t, 50, len(levels))
-				assert.Equal(t, "span0", levels[0].SpanIDs[0])
-			},
-		},
-		{
-			// Near end: clamp at total, redistribute budget upward — still 50 levels.
-			name:          "window_near_end",
-			buildTrace:    func() *FlamegraphTrace { return makeChainFG(100) },
-			selectedSpan:  "span95",
-			levelLimit:    50,
-			spansPerLevel: 1000,
-			topK:          5,
-			bucketCount:   50,
-			check: func(t *testing.T, levels []FlamegraphLevel) {
-				assert.Equal(t, 50, len(levels))
-				assert.Equal(t, "span50", levels[0].SpanIDs[0])
-			},
-		},
-		{
-			// Unknown span ID falls back to level 0.
-			name:          "unknown_span_defaults_to_level_zero",
-			buildTrace:    func() *FlamegraphTrace { return makeChainFG(10) },
-			selectedSpan:  "nonexistent",
-			levelLimit:    5,
-			spansPerLevel: 1000,
-			topK:          5,
-			bucketCount:   50,
-			check: func(t *testing.T, levels []FlamegraphLevel) {
-				assert.Equal(t, "span0", levels[0].SpanIDs[0])
-			},
-		},
-		{
-			// Dense levels are sampled down to approximately spansPerLevel.
-			name:          "sampling_respects_cap",
-			buildTrace:    func() *FlamegraphTrace { return makeBroadTrace(200) },
-			selectedSpan:  "root",
-			levelLimit:    10,
-			spansPerLevel: 10,
-			topK:          3,
-			bucketCount:   5,
-			check: func(t *testing.T, levels []FlamegraphLevel) {
-				for _, lvl := range levels {
-					assert.LessOrEqual(t, len(lvl.SpanIDs), 10+3+5*2)
-				}
-			},
-		},
-		{
-			// Selected span always survives sampling even when not in topK.
-			name:          "selected_span_always_included",
-			buildTrace:    func() *FlamegraphTrace { return makeBroadTrace(200) },
-			selectedSpan:  "child99",
-			levelLimit:    10,
-			spansPerLevel: 5,
-			topK:          3,
-			bucketCount:   5,
-			check: func(t *testing.T, levels []FlamegraphLevel) {
-				found := false
-				for _, lvl := range levels {
-					for _, id := range lvl.SpanIDs {
-						if id == "child99" {
-							found = true
-						}
-					}
-				}
-				assert.True(t, found, "selected span must survive sampling")
-			},
-		},
-		{
-			// Selected span is also the highest-latency span (lands in topK) — must not appear twice.
-			name: "no_duplicate_span_ids",
-			buildTrace: func() *FlamegraphTrace {
-				spans := make([]MinimalSpan, 201)
-				spans[0] = mkMinimal("root", "", 0, 10000)
-				for i := range 200 {
-					spans[i+1] = mkMinimal(fmt.Sprintf("child%d", i), "root", uint64(i*50), uint64(200-i)*10)
-				}
-				return NewFlamegraphTraceFromMinimal(spans)
-			},
-			selectedSpan:  "child0",
-			levelLimit:    10,
-			spansPerLevel: 5,
-			topK:          3,
-			bucketCount:   10,
-			check: func(t *testing.T, levels []FlamegraphLevel) {
-				for _, lvl := range levels {
-					seen := map[string]bool{}
-					for _, id := range lvl.SpanIDs {
-						assert.False(t, seen[id], "duplicate span ID %q at level %d", id, lvl.Level)
-						seen[id] = true
-					}
-				}
-			},
-		},
-	}
-
-	for _, tc := range tests {
-		t.Run(tc.name, func(t *testing.T) {
-			// fresh trace per subtest: GetAllLevels is destructive (nils Children)
-			levels := tc.buildTrace().GetSelectedLevels(tc.selectedSpan, tc.levelLimit, tc.spansPerLevel, tc.topK, tc.bucketCount)
-			tc.check(t, levels)
-		})
-	}
-}

pkg/types/spantypes/waterfall_span.go

@@ -21,13 +21,28 @@ const (
 // ErrTraceNotFound is returned when a trace ID has no matching spans in ClickHouse.
 var ErrTraceNotFound = errors.NewNotFoundf(errors.CodeNotFound, "trace not found")
 
-// PostableWaterfall is the request body for the waterfall API.
+// PostableWaterfall is the request body for the v3 waterfall API.
 type PostableWaterfall struct {
-	SelectedSpanID   string   `json:"selectedSpanId"`
-	UncollapsedSpans []string `json:"uncollapsedSpans"`
+	SelectedSpanID   string            `json:"selectedSpanId"`
+	UncollapsedSpans []string          `json:"uncollapsedSpans"`
+	Limit            uint              `json:"limit"`
+	Aggregations     []SpanAggregation `json:"aggregations"`
 }
 
 func (p *PostableWaterfall) Validate() error {
+	if len(p.Aggregations) > maxAggregationItems {
+		return ErrTooManyAggregationItems
+	}
+	for _, a := range p.Aggregations {
+		if !a.Aggregation.isValid() {
+			return errors.NewInvalidInputf(errors.CodeInvalidInput, "unknown aggregation type: %q", a.Aggregation)
+		}
+		fc := a.Field.FieldContext
+		if fc != telemetrytypes.FieldContextResource && fc != telemetrytypes.FieldContextAttribute {
+			return errors.NewInvalidInputf(errors.CodeInvalidInput, "aggregation field context must be %q or %q, got %q",
+				telemetrytypes.FieldContextResource, telemetrytypes.FieldContextAttribute, fc)
+		}
+	}
 	return nil
 }
 

pkg/types/spantypes/waterfall_trace.go

@@ -8,6 +8,7 @@ import (
 	"time"
 
 	"github.com/SigNoz/signoz/pkg/types/cachetypes"
+	"github.com/SigNoz/signoz/pkg/types/telemetrytypes"
 )
 
 type TraceSummary struct {
@@ -28,18 +29,19 @@ type WaterfallTrace struct {
 	HasMissingSpans     bool                      `json:"hasMissingSpans"`
 }
 
-// GettableWaterfallTrace is the response for the waterfall API.
+// GettableWaterfallTrace is the response for the v3 waterfall API.
 type GettableWaterfallTrace struct {
-	StartTimestampMillis  uint64           `json:"startTimestampMillis"`
-	EndTimestampMillis    uint64           `json:"endTimestampMillis"`
-	RootServiceName       string           `json:"rootServiceName"`
-	RootServiceEntryPoint string           `json:"rootServiceEntryPoint"`
-	TotalSpansCount       uint64           `json:"totalSpansCount"`
-	TotalErrorSpansCount  uint64           `json:"totalErrorSpansCount"`
-	Spans                 []*WaterfallSpan `json:"spans"`
-	HasMissingSpans       bool             `json:"hasMissingSpans"`
-	UncollapsedSpans      []string         `json:"uncollapsedSpans"`
-	HasMore               bool             `json:"hasMore"`
+	StartTimestampMillis  uint64                  `json:"startTimestampMillis"`
+	EndTimestampMillis    uint64                  `json:"endTimestampMillis"`
+	RootServiceName       string                  `json:"rootServiceName"`
+	RootServiceEntryPoint string                  `json:"rootServiceEntryPoint"`
+	TotalSpansCount       uint64                  `json:"totalSpansCount"`
+	TotalErrorSpansCount  uint64                  `json:"totalErrorSpansCount"`
+	Spans                 []*WaterfallSpan        `json:"spans"`
+	HasMissingSpans       bool                    `json:"hasMissingSpans"`
+	UncollapsedSpans      []string                `json:"uncollapsedSpans"`
+	HasMore               bool                    `json:"hasMore"`
+	Aggregations          []SpanAggregationResult `json:"aggregations"`
 }
 
 // NewWaterfallTrace constructs a WaterfallTrace from processed span data.
@@ -120,6 +122,23 @@ func NewWaterfallTraceFromSpans(nodes []*WaterfallSpan) *WaterfallTrace {
 	)
 }
 
+func (wt *WaterfallTrace) GetWaterfallSpans(uncollapsedSpanIDs []string, selectedSpanID string, limit uint, spanPageSize float64, maxDepthToAutoExpand int) ([]*WaterfallSpan, []string, bool) {
+	// Span selection decision: all spans or windowed
+	selectAllSpans := wt.TotalSpans <= uint64(limit)
+
+	var (
+		selectedSpans    []*WaterfallSpan
+		uncollapsedSpans []string
+	)
+
+	if selectAllSpans {
+		selectedSpans = wt.GetAllSpans()
+	} else {
+		selectedSpans, uncollapsedSpans = wt.GetSelectedSpans(uncollapsedSpanIDs, selectedSpanID, spanPageSize, maxDepthToAutoExpand)
+	}
+	return selectedSpans, uncollapsedSpans, selectAllSpans
+}
+
 // GetAllSpans returns all spans with pre order traversal.
 func (wt *WaterfallTrace) GetAllSpans() []*WaterfallSpan {
 	var preOrderedSpans []*WaterfallSpan
@@ -218,6 +237,7 @@ func NewGettableWaterfallTrace(
 	selectedSpans []*WaterfallSpan,
 	uncollapsedSpans []string,
 	selectAllSpans bool,
+	aggregations []SpanAggregationResult,
 ) *GettableWaterfallTrace {
 	var rootServiceName, rootServiceEntryPoint string
 	if len(traceData.TraceRoots) > 0 {
@@ -230,6 +250,15 @@ func NewGettableWaterfallTrace(
 		span.TimeUnix = span.TimeUnix / 1_000_000
 	}
 
+	// duration values are in nanoseconds; convert in-place to milliseconds.
+	for i := range aggregations {
+		if aggregations[i].Aggregation == SpanAggregationDuration {
+			for k, v := range aggregations[i].Value {
+				aggregations[i].Value[k] = v / 1_000_000
+			}
+		}
+	}
+
 	return &GettableWaterfallTrace{
 		Spans:                 selectedSpans,
 		UncollapsedSpans:      uncollapsedSpans,
@@ -241,6 +270,7 @@ func NewGettableWaterfallTrace(
 		RootServiceEntryPoint: rootServiceEntryPoint,
 		HasMissingSpans:       traceData.HasMissingSpans,
 		HasMore:               !selectAllSpans,
+		Aggregations:          aggregations,
 	}
 }
 
@@ -262,3 +292,78 @@ func windowAroundIndex(selectedIndex, total int, spanLimitPerRequest float64) (s
 	start = max(start, 0)
 	return
 }
+
+// mergeSpanIntervals computes non-overlapping execution time for a set of spans.
+func mergeSpanIntervals(spans []*WaterfallSpan) uint64 {
+	if len(spans) == 0 {
+		return 0
+	}
+	sort.Slice(spans, func(i, j int) bool {
+		return spans[i].TimeUnix < spans[j].TimeUnix
+	})
+
+	currentStart := spans[0].TimeUnix
+	currentEnd := currentStart + spans[0].DurationNano
+	total := uint64(0)
+
+	for _, span := range spans[1:] {
+		startNano := span.TimeUnix
+		endNano := startNano + span.DurationNano
+		if currentEnd >= startNano {
+			if endNano > currentEnd {
+				currentEnd = endNano
+			}
+		} else {
+			total += currentEnd - currentStart
+			currentStart = startNano
+			currentEnd = endNano
+		}
+	}
+	return total + (currentEnd - currentStart)
+}
+
+// GetSpanAggregation computes one aggregation result over all spans in the trace.
+// Duration values are returned in nanoseconds; callers convert to milliseconds as needed.
+func (wt *WaterfallTrace) GetSpanAggregation(aggregation SpanAggregationType, field telemetrytypes.TelemetryFieldKey) SpanAggregationResult {
+	result := SpanAggregationResult{
+		Field:       field,
+		Aggregation: aggregation,
+		Value:       make(map[string]uint64),
+	}
+
+	switch aggregation {
+	case SpanAggregationSpanCount:
+		for _, span := range wt.SpanIDToSpanNodeMap {
+			if key, ok := span.FieldValue(field); ok {
+				result.Value[key]++
+			}
+		}
+
+	case SpanAggregationDuration:
+		spansByField := make(map[string][]*WaterfallSpan)
+		for _, span := range wt.SpanIDToSpanNodeMap {
+			if key, ok := span.FieldValue(field); ok {
+				spansByField[key] = append(spansByField[key], span)
+			}
+		}
+		for key, spans := range spansByField {
+			result.Value[key] = mergeSpanIntervals(spans)
+		}
+
+	case SpanAggregationExecutionTimePercentage:
+		traceDuration := wt.EndTime - wt.StartTime
+		spansByField := make(map[string][]*WaterfallSpan)
+		for _, span := range wt.SpanIDToSpanNodeMap {
+			if key, ok := span.FieldValue(field); ok {
+				spansByField[key] = append(spansByField[key], span)
+			}
+		}
+		if traceDuration > 0 {
+			for key, spans := range spansByField {
+				result.Value[key] = mergeSpanIntervals(spans) * 100 / traceDuration
+			}
+		}
+	}
+
+	return result
+}

tests/integration/testdata/inframonitoring/hosts_filter_dataset.jsonl

@@ -1,144 +0,0 @@
-{"metric_name": "system.cpu.time", "labels": {"host.name": "prod-linux-1", "os.type": "linux", "state": "user"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 100, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
-{"metric_name": "system.cpu.time", "labels": {"host.name": "prod-linux-1", "os.type": "linux", "state": "user"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 200, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
-{"metric_name": "system.cpu.time", "labels": {"host.name": "prod-linux-1", "os.type": "linux", "state": "user"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 300, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
-{"metric_name": "system.cpu.time", "labels": {"host.name": "prod-linux-1", "os.type": "linux", "state": "system"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 50, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
-{"metric_name": "system.cpu.time", "labels": {"host.name": "prod-linux-1", "os.type": "linux", "state": "system"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 100, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
-{"metric_name": "system.cpu.time", "labels": {"host.name": "prod-linux-1", "os.type": "linux", "state": "system"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 150, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
-{"metric_name": "system.cpu.time", "labels": {"host.name": "prod-linux-1", "os.type": "linux", "state": "idle"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 400, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
-{"metric_name": "system.cpu.time", "labels": {"host.name": "prod-linux-1", "os.type": "linux", "state": "idle"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 600, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
-{"metric_name": "system.cpu.time", "labels": {"host.name": "prod-linux-1", "os.type": "linux", "state": "idle"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 800, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
-{"metric_name": "system.cpu.time", "labels": {"host.name": "prod-linux-1", "os.type": "linux", "state": "wait"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 10, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
-{"metric_name": "system.cpu.time", "labels": {"host.name": "prod-linux-1", "os.type": "linux", "state": "wait"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 20, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
-{"metric_name": "system.cpu.time", "labels": {"host.name": "prod-linux-1", "os.type": "linux", "state": "wait"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 30, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
-{"metric_name": "system.memory.usage", "labels": {"host.name": "prod-linux-1", "os.type": "linux", "state": "used"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 2000000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
-{"metric_name": "system.memory.usage", "labels": {"host.name": "prod-linux-1", "os.type": "linux", "state": "used"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 2100000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
-{"metric_name": "system.memory.usage", "labels": {"host.name": "prod-linux-1", "os.type": "linux", "state": "used"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 2200000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
-{"metric_name": "system.memory.usage", "labels": {"host.name": "prod-linux-1", "os.type": "linux", "state": "free"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 6000000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
-{"metric_name": "system.memory.usage", "labels": {"host.name": "prod-linux-1", "os.type": "linux", "state": "free"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 5900000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
-{"metric_name": "system.memory.usage", "labels": {"host.name": "prod-linux-1", "os.type": "linux", "state": "free"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 5800000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
-{"metric_name": "system.memory.usage", "labels": {"host.name": "prod-linux-1", "os.type": "linux", "state": "buffered"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 500000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
-{"metric_name": "system.memory.usage", "labels": {"host.name": "prod-linux-1", "os.type": "linux", "state": "buffered"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 500000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
-{"metric_name": "system.memory.usage", "labels": {"host.name": "prod-linux-1", "os.type": "linux", "state": "buffered"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 500000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
-{"metric_name": "system.memory.usage", "labels": {"host.name": "prod-linux-1", "os.type": "linux", "state": "cached"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 1500000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
-{"metric_name": "system.memory.usage", "labels": {"host.name": "prod-linux-1", "os.type": "linux", "state": "cached"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 1500000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
-{"metric_name": "system.memory.usage", "labels": {"host.name": "prod-linux-1", "os.type": "linux", "state": "cached"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 1500000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
-{"metric_name": "system.cpu.load_average.15m", "labels": {"host.name": "prod-linux-1", "os.type": "linux"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 1.5, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "system.cpu.load_average.15m", "labels": {"host.name": "prod-linux-1", "os.type": "linux"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 1.55, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "system.cpu.load_average.15m", "labels": {"host.name": "prod-linux-1", "os.type": "linux"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 1.6, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "system.filesystem.usage", "labels": {"host.name": "prod-linux-1", "os.type": "linux", "state": "used"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 50000000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
-{"metric_name": "system.filesystem.usage", "labels": {"host.name": "prod-linux-1", "os.type": "linux", "state": "used"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 51000000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
-{"metric_name": "system.filesystem.usage", "labels": {"host.name": "prod-linux-1", "os.type": "linux", "state": "used"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 52000000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
-{"metric_name": "system.filesystem.usage", "labels": {"host.name": "prod-linux-1", "os.type": "linux", "state": "free"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 50000000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
-{"metric_name": "system.filesystem.usage", "labels": {"host.name": "prod-linux-1", "os.type": "linux", "state": "free"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 49000000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
-{"metric_name": "system.filesystem.usage", "labels": {"host.name": "prod-linux-1", "os.type": "linux", "state": "free"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 48000000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
-{"metric_name": "system.filesystem.usage", "labels": {"host.name": "prod-linux-1", "os.type": "linux", "state": "reserved"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 5000000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
-{"metric_name": "system.filesystem.usage", "labels": {"host.name": "prod-linux-1", "os.type": "linux", "state": "reserved"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 5000000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
-{"metric_name": "system.filesystem.usage", "labels": {"host.name": "prod-linux-1", "os.type": "linux", "state": "reserved"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 5000000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
-{"metric_name": "system.cpu.time", "labels": {"host.name": "prod-windows-1", "os.type": "windows", "state": "user"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 100, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
-{"metric_name": "system.cpu.time", "labels": {"host.name": "prod-windows-1", "os.type": "windows", "state": "user"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 200, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
-{"metric_name": "system.cpu.time", "labels": {"host.name": "prod-windows-1", "os.type": "windows", "state": "user"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 300, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
-{"metric_name": "system.cpu.time", "labels": {"host.name": "prod-windows-1", "os.type": "windows", "state": "system"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 50, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
-{"metric_name": "system.cpu.time", "labels": {"host.name": "prod-windows-1", "os.type": "windows", "state": "system"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 100, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
-{"metric_name": "system.cpu.time", "labels": {"host.name": "prod-windows-1", "os.type": "windows", "state": "system"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 150, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
-{"metric_name": "system.cpu.time", "labels": {"host.name": "prod-windows-1", "os.type": "windows", "state": "idle"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 400, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
-{"metric_name": "system.cpu.time", "labels": {"host.name": "prod-windows-1", "os.type": "windows", "state": "idle"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 600, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
-{"metric_name": "system.cpu.time", "labels": {"host.name": "prod-windows-1", "os.type": "windows", "state": "idle"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 800, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
-{"metric_name": "system.cpu.time", "labels": {"host.name": "prod-windows-1", "os.type": "windows", "state": "wait"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 10, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
-{"metric_name": "system.cpu.time", "labels": {"host.name": "prod-windows-1", "os.type": "windows", "state": "wait"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 20, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
-{"metric_name": "system.cpu.time", "labels": {"host.name": "prod-windows-1", "os.type": "windows", "state": "wait"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 30, "temporality": "Cumulative", "type_": "Sum", "is_monotonic": true}
-{"metric_name": "system.memory.usage", "labels": {"host.name": "prod-windows-1", "os.type": "windows", "state": "used"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 2000000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
-{"metric_name": "system.memory.usage", "labels": {"host.name": "prod-windows-1", "os.type": "windows", "state": "used"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 2100000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
-{"metric_name": "system.memory.usage", "labels": {"host.name": "prod-windows-1", "os.type": "windows", "state": "used"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 2200000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
-{"metric_name": "system.memory.usage", "labels": {"host.name": "prod-windows-1", "os.type": "windows", "state": "free"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 6000000000, "temporality": "Unspecified", "type_": "Sum", "is_monotonic": false}
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tests/integration/testdata/inframonitoring/hosts_missing_metrics.jsonl

@@ -1,12 +0,0 @@
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tests/integration/testdata/inframonitoring/hosts_orderby.jsonl

@@ -1,120 +0,0 @@
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tests/integration/testdata/inframonitoring/hosts_pagination.jsonl

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tests/integration/testdata/inframonitoring/hosts_status.jsonl

@@ -1,42 +0,0 @@
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tests/integration/testdata/inframonitoring/hosts_value_accuracy.jsonl

@@ -1,72 +0,0 @@
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-{"metric_name":"system.memory.usage","labels":{"host.name":"acc-h1","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:00:00+00:00","value":6000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
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-{"metric_name":"system.cpu.load_average.15m","labels":{"host.name":"acc-h1","os.type":"linux"},"timestamp":"2025-01-10T10:00:00+00:00","value":1.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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-{"metric_name":"system.filesystem.usage","labels":{"host.name":"acc-h1","os.type":"linux","state":"reserved"},"timestamp":"2025-01-10T10:00:00+00:00","value":5000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
-{"metric_name":"system.filesystem.usage","labels":{"host.name":"acc-h1","os.type":"linux","state":"reserved"},"timestamp":"2025-01-10T10:02:00+00:00","value":5000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
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-{"metric_name":"system.filesystem.usage","labels":{"host.name":"acc-h2","os.type":"linux","state":"reserved"},"timestamp":"2025-01-10T10:02:00+00:00","value":5000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
-{"metric_name":"system.filesystem.usage","labels":{"host.name":"acc-h2","os.type":"linux","state":"reserved"},"timestamp":"2025-01-10T10:04:00+00:00","value":5000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}

tests/integration/testdata/inframonitoring/hosts_value_accuracy_expected.json

@@ -1,20 +0,0 @@
-{
-  "records": [
-    {
-      "hostName": "acc-h1",
-      "cpu": 0.4444444444444445,
-      "memory": 0.205,
-      "wait": 0.027777777777777776,
-      "load15": 1.525,
-      "diskUsage": 0.48095238095238096
-    },
-    {
-      "hostName": "acc-h2",
-      "cpu": 0.3846153846153845,
-      "memory": 0.3125,
-      "wait": 0.015384615384615384,
-      "load15": 2.025,
-      "diskUsage": 0.6714285714285714
-    }
-  ]
-}

tests/integration/testdata/inframonitoring/namespaces_filter_dataset.jsonl

@@ -1,144 +0,0 @@
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-{"metric_name": "k8s.pod.cpu.usage", "labels": {"k8s.pod.uid": "web-a-prod-acc-p1a-uid", "k8s.pod.name": "web-a-prod-acc-p1a", "k8s.namespace.name": "web-a-prod", "k8s.cluster.name": "cluster-a", "env": "prod"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 0.5, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.cpu.usage", "labels": {"k8s.pod.uid": "web-a-prod-acc-p1a-uid", "k8s.pod.name": "web-a-prod-acc-p1a", "k8s.namespace.name": "web-a-prod", "k8s.cluster.name": "cluster-a", "env": "prod"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 0.5, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.memory.working_set", "labels": {"k8s.pod.uid": "web-a-prod-acc-p1a-uid", "k8s.pod.name": "web-a-prod-acc-p1a", "k8s.namespace.name": "web-a-prod", "k8s.cluster.name": "cluster-a", "env": "prod"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 100000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.memory.working_set", "labels": {"k8s.pod.uid": "web-a-prod-acc-p1a-uid", "k8s.pod.name": "web-a-prod-acc-p1a", "k8s.namespace.name": "web-a-prod", "k8s.cluster.name": "cluster-a", "env": "prod"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 100000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.memory.working_set", "labels": {"k8s.pod.uid": "web-a-prod-acc-p1a-uid", "k8s.pod.name": "web-a-prod-acc-p1a", "k8s.namespace.name": "web-a-prod", "k8s.cluster.name": "cluster-a", "env": "prod"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 100000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.phase", "labels": {"k8s.pod.uid": "web-a-prod-acc-p1a-uid", "k8s.pod.name": "web-a-prod-acc-p1a", "k8s.namespace.name": "web-a-prod", "k8s.cluster.name": "cluster-a", "env": "prod"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 2, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.phase", "labels": {"k8s.pod.uid": "web-a-prod-acc-p1a-uid", "k8s.pod.name": "web-a-prod-acc-p1a", "k8s.namespace.name": "web-a-prod", "k8s.cluster.name": "cluster-a", "env": "prod"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 2, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.phase", "labels": {"k8s.pod.uid": "web-a-prod-acc-p1a-uid", "k8s.pod.name": "web-a-prod-acc-p1a", "k8s.namespace.name": "web-a-prod", "k8s.cluster.name": "cluster-a", "env": "prod"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 2, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.cpu.usage", "labels": {"k8s.pod.uid": "web-a-prod-acc-p1b-uid", "k8s.pod.name": "web-a-prod-acc-p1b", "k8s.namespace.name": "web-a-prod", "k8s.cluster.name": "cluster-a", "env": "prod"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 0.5, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.cpu.usage", "labels": {"k8s.pod.uid": "web-a-prod-acc-p1b-uid", "k8s.pod.name": "web-a-prod-acc-p1b", "k8s.namespace.name": "web-a-prod", "k8s.cluster.name": "cluster-a", "env": "prod"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 0.5, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.cpu.usage", "labels": {"k8s.pod.uid": "web-a-prod-acc-p1b-uid", "k8s.pod.name": "web-a-prod-acc-p1b", "k8s.namespace.name": "web-a-prod", "k8s.cluster.name": "cluster-a", "env": "prod"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 0.5, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
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-{"metric_name": "k8s.pod.cpu.usage", "labels": {"k8s.pod.uid": "web-a-dev-acc-p1a-uid", "k8s.pod.name": "web-a-dev-acc-p1a", "k8s.namespace.name": "web-a-dev", "k8s.cluster.name": "cluster-a", "env": "dev"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 0.5, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
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tests/integration/testdata/inframonitoring/namespaces_groupby.jsonl

@@ -1,36 +0,0 @@
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-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-gb-ns-1-uid","k8s.pod.name":"pod-gb-ns-1","k8s.namespace.name":"gb-ns-1","k8s.cluster.name":"gb-cluster-a"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-gb-ns-1-uid","k8s.pod.name":"pod-gb-ns-1","k8s.namespace.name":"gb-ns-1","k8s.cluster.name":"gb-cluster-a"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-gb-ns-1-uid","k8s.pod.name":"pod-gb-ns-1","k8s.namespace.name":"gb-ns-1","k8s.cluster.name":"gb-cluster-a"},"timestamp":"2025-01-10T10:00:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-gb-ns-1-uid","k8s.pod.name":"pod-gb-ns-1","k8s.namespace.name":"gb-ns-1","k8s.cluster.name":"gb-cluster-a"},"timestamp":"2025-01-10T10:02:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-gb-ns-1-uid","k8s.pod.name":"pod-gb-ns-1","k8s.namespace.name":"gb-ns-1","k8s.cluster.name":"gb-cluster-a"},"timestamp":"2025-01-10T10:04:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-gb-ns-1-uid","k8s.pod.name":"pod-gb-ns-1","k8s.namespace.name":"gb-ns-1","k8s.cluster.name":"gb-cluster-a"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-gb-ns-2-uid","k8s.pod.name":"pod-gb-ns-2","k8s.namespace.name":"gb-ns-2","k8s.cluster.name":"gb-cluster-a"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-gb-ns-2-uid","k8s.pod.name":"pod-gb-ns-2","k8s.namespace.name":"gb-ns-2","k8s.cluster.name":"gb-cluster-a"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-gb-ns-2-uid","k8s.pod.name":"pod-gb-ns-2","k8s.namespace.name":"gb-ns-2","k8s.cluster.name":"gb-cluster-a"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-gb-ns-4-uid","k8s.pod.name":"pod-gb-ns-4","k8s.namespace.name":"gb-ns-4","k8s.cluster.name":"gb-cluster-b"},"timestamp":"2025-01-10T10:04:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-gb-ns-4-uid","k8s.pod.name":"pod-gb-ns-4","k8s.namespace.name":"gb-ns-4","k8s.cluster.name":"gb-cluster-b"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-gb-ns-4-uid","k8s.pod.name":"pod-gb-ns-4","k8s.namespace.name":"gb-ns-4","k8s.cluster.name":"gb-cluster-b"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-gb-ns-4-uid","k8s.pod.name":"pod-gb-ns-4","k8s.namespace.name":"gb-ns-4","k8s.cluster.name":"gb-cluster-b"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}

tests/integration/testdata/inframonitoring/namespaces_missing_metrics.jsonl

@@ -1,3 +0,0 @@
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"miss-p-uid","k8s.pod.name":"miss-p","k8s.namespace.name":"miss-ns","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"miss-p-uid","k8s.pod.name":"miss-p","k8s.namespace.name":"miss-ns","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"miss-p-uid","k8s.pod.name":"miss-p","k8s.namespace.name":"miss-ns","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}

tests/integration/testdata/inframonitoring/namespaces_orderby.jsonl

@@ -1,45 +0,0 @@
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-order-ns-1-uid","k8s.pod.name":"pod-order-ns-1","k8s.namespace.name":"order-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-order-ns-1-uid","k8s.pod.name":"pod-order-ns-1","k8s.namespace.name":"order-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-order-ns-1-uid","k8s.pod.name":"pod-order-ns-1","k8s.namespace.name":"order-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-order-ns-1-uid","k8s.pod.name":"pod-order-ns-1","k8s.namespace.name":"order-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":500000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-order-ns-1-uid","k8s.pod.name":"pod-order-ns-1","k8s.namespace.name":"order-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":500000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-order-ns-1-uid","k8s.pod.name":"pod-order-ns-1","k8s.namespace.name":"order-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":500000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-order-ns-1-uid","k8s.pod.name":"pod-order-ns-1","k8s.namespace.name":"order-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-order-ns-1-uid","k8s.pod.name":"pod-order-ns-1","k8s.namespace.name":"order-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-order-ns-1-uid","k8s.pod.name":"pod-order-ns-1","k8s.namespace.name":"order-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-order-ns-2-uid","k8s.pod.name":"pod-order-ns-2","k8s.namespace.name":"order-ns-2","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":2.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-order-ns-2-uid","k8s.pod.name":"pod-order-ns-2","k8s.namespace.name":"order-ns-2","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":2.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-order-ns-2-uid","k8s.pod.name":"pod-order-ns-2","k8s.namespace.name":"order-ns-2","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-order-ns-2-uid","k8s.pod.name":"pod-order-ns-2","k8s.namespace.name":"order-ns-2","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":400000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-order-ns-2-uid","k8s.pod.name":"pod-order-ns-2","k8s.namespace.name":"order-ns-2","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":400000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-order-ns-2-uid","k8s.pod.name":"pod-order-ns-2","k8s.namespace.name":"order-ns-2","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":400000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-order-ns-2-uid","k8s.pod.name":"pod-order-ns-2","k8s.namespace.name":"order-ns-2","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-order-ns-2-uid","k8s.pod.name":"pod-order-ns-2","k8s.namespace.name":"order-ns-2","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-order-ns-2-uid","k8s.pod.name":"pod-order-ns-2","k8s.namespace.name":"order-ns-2","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-order-ns-3-uid","k8s.pod.name":"pod-order-ns-3","k8s.namespace.name":"order-ns-3","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":3.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-order-ns-3-uid","k8s.pod.name":"pod-order-ns-3","k8s.namespace.name":"order-ns-3","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":3.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-order-ns-3-uid","k8s.pod.name":"pod-order-ns-3","k8s.namespace.name":"order-ns-3","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":3.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-order-ns-3-uid","k8s.pod.name":"pod-order-ns-3","k8s.namespace.name":"order-ns-3","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":300000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-order-ns-3-uid","k8s.pod.name":"pod-order-ns-3","k8s.namespace.name":"order-ns-3","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":300000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-order-ns-3-uid","k8s.pod.name":"pod-order-ns-3","k8s.namespace.name":"order-ns-3","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":300000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-order-ns-3-uid","k8s.pod.name":"pod-order-ns-3","k8s.namespace.name":"order-ns-3","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-order-ns-3-uid","k8s.pod.name":"pod-order-ns-3","k8s.namespace.name":"order-ns-3","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-order-ns-3-uid","k8s.pod.name":"pod-order-ns-3","k8s.namespace.name":"order-ns-3","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-order-ns-4-uid","k8s.pod.name":"pod-order-ns-4","k8s.namespace.name":"order-ns-4","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-order-ns-4-uid","k8s.pod.name":"pod-order-ns-4","k8s.namespace.name":"order-ns-4","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-order-ns-4-uid","k8s.pod.name":"pod-order-ns-4","k8s.namespace.name":"order-ns-4","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-order-ns-4-uid","k8s.pod.name":"pod-order-ns-4","k8s.namespace.name":"order-ns-4","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":200000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-order-ns-4-uid","k8s.pod.name":"pod-order-ns-4","k8s.namespace.name":"order-ns-4","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":200000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-order-ns-4-uid","k8s.pod.name":"pod-order-ns-4","k8s.namespace.name":"order-ns-4","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":200000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-order-ns-4-uid","k8s.pod.name":"pod-order-ns-4","k8s.namespace.name":"order-ns-4","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-order-ns-4-uid","k8s.pod.name":"pod-order-ns-4","k8s.namespace.name":"order-ns-4","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-order-ns-4-uid","k8s.pod.name":"pod-order-ns-4","k8s.namespace.name":"order-ns-4","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-order-ns-5-uid","k8s.pod.name":"pod-order-ns-5","k8s.namespace.name":"order-ns-5","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":5.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-order-ns-5-uid","k8s.pod.name":"pod-order-ns-5","k8s.namespace.name":"order-ns-5","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":5.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-order-ns-5-uid","k8s.pod.name":"pod-order-ns-5","k8s.namespace.name":"order-ns-5","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":5.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-order-ns-5-uid","k8s.pod.name":"pod-order-ns-5","k8s.namespace.name":"order-ns-5","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-order-ns-5-uid","k8s.pod.name":"pod-order-ns-5","k8s.namespace.name":"order-ns-5","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-order-ns-5-uid","k8s.pod.name":"pod-order-ns-5","k8s.namespace.name":"order-ns-5","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-order-ns-5-uid","k8s.pod.name":"pod-order-ns-5","k8s.namespace.name":"order-ns-5","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-order-ns-5-uid","k8s.pod.name":"pod-order-ns-5","k8s.namespace.name":"order-ns-5","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-order-ns-5-uid","k8s.pod.name":"pod-order-ns-5","k8s.namespace.name":"order-ns-5","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}

tests/integration/testdata/inframonitoring/namespaces_pagination.jsonl

@@ -1,63 +0,0 @@
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-page-ns-1-uid","k8s.pod.name":"pod-page-ns-1","k8s.namespace.name":"page-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":7.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-page-ns-1-uid","k8s.pod.name":"pod-page-ns-1","k8s.namespace.name":"page-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":7.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-page-ns-1-uid","k8s.pod.name":"pod-page-ns-1","k8s.namespace.name":"page-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":7.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-page-ns-1-uid","k8s.pod.name":"pod-page-ns-1","k8s.namespace.name":"page-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-page-ns-1-uid","k8s.pod.name":"pod-page-ns-1","k8s.namespace.name":"page-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-page-ns-1-uid","k8s.pod.name":"pod-page-ns-1","k8s.namespace.name":"page-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-page-ns-1-uid","k8s.pod.name":"pod-page-ns-1","k8s.namespace.name":"page-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-page-ns-1-uid","k8s.pod.name":"pod-page-ns-1","k8s.namespace.name":"page-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-page-ns-1-uid","k8s.pod.name":"pod-page-ns-1","k8s.namespace.name":"page-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-page-ns-7-uid","k8s.pod.name":"pod-page-ns-7","k8s.namespace.name":"page-ns-7","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}

tests/integration/testdata/inframonitoring/namespaces_pod_phases.jsonl

@@ -1,63 +0,0 @@
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-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pp-run-1-uid","k8s.pod.name":"pp-run-1","k8s.namespace.name":"pp-ns","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pp-run-1-uid","k8s.pod.name":"pp-run-1","k8s.namespace.name":"pp-ns","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pp-run-1-uid","k8s.pod.name":"pp-run-1","k8s.namespace.name":"pp-ns","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-run-1-uid","k8s.pod.name":"pp-run-1","k8s.namespace.name":"pp-ns","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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tests/integration/testdata/inframonitoring/namespaces_value_accuracy.jsonl

@@ -1,45 +0,0 @@
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tests/integration/testdata/inframonitoring/namespaces_value_accuracy_expected.json

@@ -1,16 +0,0 @@
-{
-  "records": [
-    {
-      "namespaceName": "acc-ns-1",
-      "namespaceCPU": 1.0,
-      "namespaceMemory": 200000000.0,
-      "podCountsByPhase": {"pending": 0, "running": 2, "succeeded": 0, "failed": 0, "unknown": 0}
-    },
-    {
-      "namespaceName": "acc-ns-2",
-      "namespaceCPU": 2.25,
-      "namespaceMemory": 600000000.0,
-      "podCountsByPhase": {"pending": 0, "running": 3, "succeeded": 0, "failed": 0, "unknown": 0}
-    }
-  ]
-}

tests/integration/testdata/inframonitoring/nodes_conditions.jsonl

@@ -1,33 +0,0 @@
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-{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"ready-n","k8s.node.uid":"ready-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"ready-n","k8s.node.uid":"ready-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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tests/integration/testdata/inframonitoring/nodes_conditions_grouped.jsonl

@@ -1,54 +0,0 @@
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tests/integration/testdata/inframonitoring/nodes_conditions_transition.jsonl

@@ -1,18 +0,0 @@
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tests/integration/testdata/inframonitoring/nodes_filter_dataset.jsonl

@@ -1,144 +0,0 @@
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tests/integration/testdata/inframonitoring/nodes_groupby.jsonl

@@ -1,72 +0,0 @@
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-{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"gb-b-eu","k8s.node.uid":"gb-beu-uid","k8s.cluster.name":"gb-cluster-b","zone":"eu"},"timestamp":"2025-01-10T10:02:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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-{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"gb-b-eu","k8s.node.uid":"gb-beu-uid","k8s.cluster.name":"gb-cluster-b","zone":"eu"},"timestamp":"2025-01-10T10:02:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-gb-b-eu-uid","k8s.pod.name":"pod-gb-b-eu","k8s.namespace.name":"ns-x","k8s.node.name":"gb-b-eu","k8s.cluster.name":"gb-cluster-b"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-gb-b-eu-uid","k8s.pod.name":"pod-gb-b-eu","k8s.namespace.name":"ns-x","k8s.node.name":"gb-b-eu","k8s.cluster.name":"gb-cluster-b"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}

tests/integration/testdata/inframonitoring/nodes_missing_metrics.jsonl

@@ -1,3 +0,0 @@
-{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"miss-n1","k8s.node.uid":"miss-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"miss-n1","k8s.node.uid":"miss-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"miss-n1","k8s.node.uid":"miss-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}

tests/integration/testdata/inframonitoring/nodes_no_pods.jsonl

@@ -1,18 +0,0 @@
-{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"no-pod-n","k8s.node.uid":"no-pod-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"no-pod-n","k8s.node.uid":"no-pod-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"no-pod-n","k8s.node.uid":"no-pod-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"no-pod-n","k8s.node.uid":"no-pod-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"no-pod-n","k8s.node.uid":"no-pod-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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tests/integration/testdata/inframonitoring/nodes_orderby.jsonl

@@ -1,78 +0,0 @@
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tests/integration/testdata/inframonitoring/nodes_pagination.jsonl

@@ -1,108 +0,0 @@
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tests/integration/testdata/inframonitoring/nodes_pod_phases.jsonl

@@ -1,30 +0,0 @@
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-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-pod-run-1-uid","k8s.pod.name":"pp-pod-run-1","k8s.namespace.name":"ns-x","k8s.node.name":"pp-n1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-pod-run-2-uid","k8s.pod.name":"pp-pod-run-2","k8s.namespace.name":"ns-x","k8s.node.name":"pp-n1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-pod-run-2-uid","k8s.pod.name":"pp-pod-run-2","k8s.namespace.name":"ns-x","k8s.node.name":"pp-n1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-pod-run-2-uid","k8s.pod.name":"pp-pod-run-2","k8s.namespace.name":"ns-x","k8s.node.name":"pp-n1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-pod-run-3-uid","k8s.pod.name":"pp-pod-run-3","k8s.namespace.name":"ns-x","k8s.node.name":"pp-n1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-pod-run-3-uid","k8s.pod.name":"pp-pod-run-3","k8s.namespace.name":"ns-x","k8s.node.name":"pp-n1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-pod-run-3-uid","k8s.pod.name":"pp-pod-run-3","k8s.namespace.name":"ns-x","k8s.node.name":"pp-n1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-pod-fail-1-uid","k8s.pod.name":"pp-pod-fail-1","k8s.namespace.name":"ns-x","k8s.node.name":"pp-n1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-pod-fail-1-uid","k8s.pod.name":"pp-pod-fail-1","k8s.namespace.name":"ns-x","k8s.node.name":"pp-n1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-pod-fail-1-uid","k8s.pod.name":"pp-pod-fail-1","k8s.namespace.name":"ns-x","k8s.node.name":"pp-n1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-pod-fail-2-uid","k8s.pod.name":"pp-pod-fail-2","k8s.namespace.name":"ns-x","k8s.node.name":"pp-n1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-pod-fail-2-uid","k8s.pod.name":"pp-pod-fail-2","k8s.namespace.name":"ns-x","k8s.node.name":"pp-n1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-pod-fail-2-uid","k8s.pod.name":"pp-pod-fail-2","k8s.namespace.name":"ns-x","k8s.node.name":"pp-n1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}

tests/integration/testdata/inframonitoring/nodes_value_accuracy.jsonl

@@ -1,36 +0,0 @@
-{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"acc-n1","k8s.node.uid":"acc-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"acc-n1","k8s.node.uid":"acc-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"acc-n1","k8s.node.uid":"acc-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"acc-n1","k8s.node.uid":"acc-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"acc-n1","k8s.node.uid":"acc-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"acc-n1","k8s.node.uid":"acc-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"acc-n1","k8s.node.uid":"acc-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":2000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"acc-n1","k8s.node.uid":"acc-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":2000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"acc-n1","k8s.node.uid":"acc-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"acc-n1","k8s.node.uid":"acc-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"acc-n1","k8s.node.uid":"acc-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"acc-n1","k8s.node.uid":"acc-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"acc-n1","k8s.node.uid":"acc-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"acc-n1","k8s.node.uid":"acc-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"acc-n1","k8s.node.uid":"acc-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"acc-pod-1a-uid","k8s.pod.name":"acc-pod-1a","k8s.namespace.name":"ns-a","k8s.node.name":"acc-n1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"acc-pod-1a-uid","k8s.pod.name":"acc-pod-1a","k8s.namespace.name":"ns-a","k8s.node.name":"acc-n1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"acc-pod-1a-uid","k8s.pod.name":"acc-pod-1a","k8s.namespace.name":"ns-a","k8s.node.name":"acc-n1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"acc-n2","k8s.node.uid":"acc-n2-uid","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:00:00+00:00","value":3.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"acc-n2","k8s.node.uid":"acc-n2-uid","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:02:00+00:00","value":3.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"acc-n2","k8s.node.uid":"acc-n2-uid","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:04:00+00:00","value":3.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"acc-n2","k8s.node.uid":"acc-n2-uid","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:00:00+00:00","value":16.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"acc-n2","k8s.node.uid":"acc-n2-uid","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:02:00+00:00","value":16.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"acc-n2","k8s.node.uid":"acc-n2-uid","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:04:00+00:00","value":16.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"acc-n2","k8s.node.uid":"acc-n2-uid","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:00:00+00:00","value":4000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"acc-n2","k8s.node.uid":"acc-n2-uid","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:02:00+00:00","value":4000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"acc-n2","k8s.node.uid":"acc-n2-uid","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:04:00+00:00","value":4000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"acc-n2","k8s.node.uid":"acc-n2-uid","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:00:00+00:00","value":32000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"acc-n2","k8s.node.uid":"acc-n2-uid","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:02:00+00:00","value":32000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"acc-n2","k8s.node.uid":"acc-n2-uid","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:04:00+00:00","value":32000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"acc-n2","k8s.node.uid":"acc-n2-uid","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:00:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"acc-n2","k8s.node.uid":"acc-n2-uid","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:02:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"acc-n2","k8s.node.uid":"acc-n2-uid","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:04:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"acc-pod-2a-uid","k8s.pod.name":"acc-pod-2a","k8s.namespace.name":"ns-b","k8s.node.name":"acc-n2","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"acc-pod-2a-uid","k8s.pod.name":"acc-pod-2a","k8s.namespace.name":"ns-b","k8s.node.name":"acc-n2","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"acc-pod-2a-uid","k8s.pod.name":"acc-pod-2a","k8s.namespace.name":"ns-b","k8s.node.name":"acc-n2","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}

tests/integration/testdata/inframonitoring/nodes_value_accuracy_expected.json

@@ -1,24 +0,0 @@
-{
-  "records": [
-    {
-      "nodeName": "acc-n1",
-      "nodeCPU": 1.0,
-      "nodeCPUAllocatable": 4.0,
-      "nodeMemory": 2000000000.0,
-      "nodeMemoryAllocatable": 8000000000.0,
-      "condition": "ready",
-      "nodeCountsByReadiness": {"ready": 1, "notReady": 0},
-      "podCountsByPhase": {"pending": 0, "running": 1, "succeeded": 0, "failed": 0, "unknown": 0}
-    },
-    {
-      "nodeName": "acc-n2",
-      "nodeCPU": 3.0,
-      "nodeCPUAllocatable": 16.0,
-      "nodeMemory": 4000000000.0,
-      "nodeMemoryAllocatable": 32000000000.0,
-      "condition": "ready",
-      "nodeCountsByReadiness": {"ready": 1, "notReady": 0},
-      "podCountsByPhase": {"pending": 0, "running": 1, "succeeded": 0, "failed": 0, "unknown": 0}
-    }
-  ]
-}

tests/integration/testdata/inframonitoring/pods_filter_dataset.jsonl

@@ -1,168 +0,0 @@
-{"metric_name": "k8s.pod.cpu.usage", "labels": {"k8s.pod.uid": "fp-web-prod-1-uid", "k8s.pod.name": "web-prod-1", "k8s.namespace.name": "ns-prod", "k8s.node.name": "node-a", "k8s.deployment.name": "web", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "", "k8s.daemonset.name": "", "k8s.job.name": "", "k8s.cronjob.name": "", "k8s.pod.start_time": "__START_TIME__"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 0.5, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.cpu.usage", "labels": {"k8s.pod.uid": "fp-web-prod-1-uid", "k8s.pod.name": "web-prod-1", "k8s.namespace.name": "ns-prod", "k8s.node.name": "node-a", "k8s.deployment.name": "web", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "", "k8s.daemonset.name": "", "k8s.job.name": "", "k8s.cronjob.name": "", "k8s.pod.start_time": "__START_TIME__"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 0.5, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.cpu.usage", "labels": {"k8s.pod.uid": "fp-web-prod-1-uid", "k8s.pod.name": "web-prod-1", "k8s.namespace.name": "ns-prod", "k8s.node.name": "node-a", "k8s.deployment.name": "web", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "", "k8s.daemonset.name": "", "k8s.job.name": "", "k8s.cronjob.name": "", "k8s.pod.start_time": "__START_TIME__"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 0.5, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.cpu_request_utilization", "labels": {"k8s.pod.uid": "fp-web-prod-1-uid", "k8s.pod.name": "web-prod-1", "k8s.namespace.name": "ns-prod", "k8s.node.name": "node-a", "k8s.deployment.name": "web", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "", "k8s.daemonset.name": "", "k8s.job.name": "", "k8s.cronjob.name": "", "k8s.pod.start_time": "__START_TIME__"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 0.25, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.cpu_request_utilization", "labels": {"k8s.pod.uid": "fp-web-prod-1-uid", "k8s.pod.name": "web-prod-1", "k8s.namespace.name": "ns-prod", "k8s.node.name": "node-a", "k8s.deployment.name": "web", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "", "k8s.daemonset.name": "", "k8s.job.name": "", "k8s.cronjob.name": "", "k8s.pod.start_time": "__START_TIME__"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 0.25, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
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tests/integration/testdata/inframonitoring/pods_groupby.jsonl

@@ -1,84 +0,0 @@
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-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"g-p1-uid","k8s.pod.name":"g-p1","k8s.namespace.name":"gns-a","k8s.node.name":"node-a","k8s.deployment.name":"gdep-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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-{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"g-p4-uid","k8s.pod.name":"g-p4","k8s.namespace.name":"gns-b","k8s.node.name":"node-b","k8s.deployment.name":"gdep-y","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"g-p4-uid","k8s.pod.name":"g-p4","k8s.namespace.name":"gns-b","k8s.node.name":"node-b","k8s.deployment.name":"gdep-y","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"g-p4-uid","k8s.pod.name":"g-p4","k8s.namespace.name":"gns-b","k8s.node.name":"node-b","k8s.deployment.name":"gdep-y","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"g-p4-uid","k8s.pod.name":"g-p4","k8s.namespace.name":"gns-b","k8s.node.name":"node-b","k8s.deployment.name":"gdep-y","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"g-p4-uid","k8s.pod.name":"g-p4","k8s.namespace.name":"gns-b","k8s.node.name":"node-b","k8s.deployment.name":"gdep-y","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}

tests/integration/testdata/inframonitoring/pods_missing_metrics.jsonl

@@ -1,3 +0,0 @@
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"miss-p1-uid","k8s.pod.name":"miss-p1","k8s.namespace.name":"ns-a","k8s.node.name":"node-a","k8s.deployment.name":"dep-1","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"2025-01-10T09:00:00+00:00"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"miss-p1-uid","k8s.pod.name":"miss-p1","k8s.namespace.name":"ns-a","k8s.node.name":"node-a","k8s.deployment.name":"dep-1","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"2025-01-10T09:00:00+00:00"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"miss-p1-uid","k8s.pod.name":"miss-p1","k8s.namespace.name":"ns-a","k8s.node.name":"node-a","k8s.deployment.name":"dep-1","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"2025-01-10T09:00:00+00:00"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}

tests/integration/testdata/inframonitoring/pods_orderby.jsonl

@@ -1,105 +0,0 @@
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"order-p1-uid","k8s.pod.name":"order-p1","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:00:00+00:00","value":1.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"order-p1-uid","k8s.pod.name":"order-p1","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:02:00+00:00","value":1.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"order-p1-uid","k8s.pod.name":"order-p1","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:04:00+00:00","value":1.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"order-p1-uid","k8s.pod.name":"order-p1","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"order-p1-uid","k8s.pod.name":"order-p1","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"order-p1-uid","k8s.pod.name":"order-p1","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"order-p1-uid","k8s.pod.name":"order-p1","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.9,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"order-p1-uid","k8s.pod.name":"order-p1","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.9,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"order-p1-uid","k8s.pod.name":"order-p1","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.9,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"order-p1-uid","k8s.pod.name":"order-p1","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:00:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"order-p1-uid","k8s.pod.name":"order-p1","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:02:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"order-p1-uid","k8s.pod.name":"order-p1","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:04:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"order-p1-uid","k8s.pod.name":"order-p1","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"order-p1-uid","k8s.pod.name":"order-p1","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"order-p1-uid","k8s.pod.name":"order-p1","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"order-p1-uid","k8s.pod.name":"order-p1","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.05,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"order-p1-uid","k8s.pod.name":"order-p1","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.05,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"order-p1-uid","k8s.pod.name":"order-p1","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.05,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"order-p1-uid","k8s.pod.name":"order-p1","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"order-p1-uid","k8s.pod.name":"order-p1","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"order-p1-uid","k8s.pod.name":"order-p1","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"order-p2-uid","k8s.pod.name":"order-p2","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:00:00+00:00","value":2.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"order-p2-uid","k8s.pod.name":"order-p2","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:02:00+00:00","value":2.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"order-p2-uid","k8s.pod.name":"order-p2","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:04:00+00:00","value":2.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"order-p2-uid","k8s.pod.name":"order-p2","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"order-p2-uid","k8s.pod.name":"order-p2","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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