chore(querier): route metric reads to buffer/reduced tables behind a flag

Fixes https://github.com/SigNoz/engineering-pod/issues/5341

frontend/src/components/QuickFilters/FilterRenderers/Checkbox/Checkbox.tsx

@@ -1,67 +1,29 @@
 /* eslint-disable sonarjs/no-identical-functions */
 import { Fragment, useMemo, useState } from 'react';
 import { Input } from '@signozhq/ui/input';
-import { Button, Skeleton } from 'antd';
-import { Checkbox } from '@signozhq/ui/checkbox';
+import { Skeleton } from 'antd';
 import { Typography } from '@signozhq/ui/typography';
-import cx from 'classnames';
-import { removeKeysFromExpression } from 'components/QueryBuilderV2/utils';
 import {
 	IQuickFiltersConfig,
 	QuickFiltersSource,
 } from 'components/QuickFilters/types';
-import { OPERATORS } from 'constants/antlrQueryConstants';
-import {
-	DATA_TYPE_VS_ATTRIBUTE_VALUES_KEY,
-	PANEL_TYPES,
-} from 'constants/queryBuilder';
 import { DEBOUNCE_DELAY } from 'constants/queryBuilderFilterConfig';
-import { getOperatorValue } from 'container/QueryBuilder/filters/QueryBuilderSearch/utils';
-import { useGetAggregateValues } from 'hooks/queryBuilder/useGetAggregateValues';
-import { useQueryBuilder } from 'hooks/queryBuilder/useQueryBuilder';
-import { useGetQueryKeyValueSuggestions } from 'hooks/querySuggestions/useGetQueryKeyValueSuggestions';
 import useDebouncedFn from 'hooks/useDebouncedFunction';
-import { cloneDeep, isArray, isFunction } from 'lodash-es';
-import { ChevronDown, ChevronRight } from '@signozhq/icons';
-import { DataTypes } from 'types/api/queryBuilder/queryAutocompleteResponse';
-import { Query, TagFilterItem } from 'types/api/queryBuilder/queryBuilderData';
-import { DataSource } from 'types/common/queryBuilder';
-import { v4 as uuid } from 'uuid';
+import { Query } from 'types/api/queryBuilder/queryBuilderData';
 
+import CheckboxFilterHeader from './CheckboxFilterHeader';
+import CheckboxValueRow from './CheckboxValueRow';
 import LogsQuickFilterEmptyState from './LogsQuickFilterEmptyState';
-import { isKeyMatch } from './utils';
+import useActiveQueryIndex from './useActiveQueryIndex';
+import useCheckboxDisclosure from './useCheckboxDisclosure';
+import useCheckboxFilterActions from './useCheckboxFilterActions';
+import useCheckboxFilterState from './useCheckboxFilterState';
+import useCheckboxFilterValues from './useCheckboxFilterValues';
 
 import './Checkbox.styles.scss';
 
-const SELECTED_OPERATORS = [OPERATORS['='], 'in'];
-const NON_SELECTED_OPERATORS = [OPERATORS['!='], 'not in', 'nin'];
-
 const SOURCES_WITH_EMPTY_STATE_ENABLED = [QuickFiltersSource.LOGS_EXPLORER];
 
-// Sources that use backend APIs expecting short operator format (e.g., 'nin' instead of 'not in')
-const SOURCES_WITH_SHORT_OPERATORS = [QuickFiltersSource.INFRA_MONITORING];
-
-/**
- * Returns the correct NOT_IN operator value based on source.
- * InfraMonitoring backend expects 'nin', others expect 'not in'.
- */
-function getNotInOperator(source: QuickFiltersSource): string {
-	if (SOURCES_WITH_SHORT_OPERATORS.includes(source)) {
-		return 'nin';
-	}
-	return getOperatorValue('NOT_IN');
-}
-
-function setDefaultValues(
-	values: string[],
-	trueOrFalse: boolean,
-): Record<string, boolean> {
-	const defaultState: Record<string, boolean> = {};
-	values.forEach((val) => {
-		defaultState[val] = trueOrFalse;
-	});
-	return defaultState;
-}
 interface ICheckboxProps {
 	filter: IQuickFiltersConfig;
 	source: QuickFiltersSource;
@@ -72,194 +34,39 @@ interface ICheckboxProps {
 export default function CheckboxFilter(props: ICheckboxProps): JSX.Element {
 	const { source, filter, onFilterChange } = props;
 	const [searchText, setSearchText] = useState<string>('');
-	// null = no user action, true = user opened, false = user closed
-	const [userToggleState, setUserToggleState] = useState<boolean | null>(null);
-	const [visibleItemsCount, setVisibleItemsCount] = useState<number>(10);
+
+	const activeQueryIndex = useActiveQueryIndex(source);
 
 	const {
-		lastUsedQuery,
-		currentQuery,
-		redirectWithQueryBuilderData,
-		panelType,
-	} = useQueryBuilder();
-
-	// Determine if we're in ListView mode
-	const isListView = panelType === PANEL_TYPES.LIST;
-	// In ListView mode, use index 0 for most sources; for TRACES_EXPLORER, use lastUsedQuery
-	// Otherwise use lastUsedQuery for non-ListView modes
-	const activeQueryIndex = useMemo(() => {
-		if (isListView) {
-			return source === QuickFiltersSource.TRACES_EXPLORER
-				? lastUsedQuery || 0
-				: 0;
-		}
-		return lastUsedQuery || 0;
-	}, [isListView, source, lastUsedQuery]);
-
-	// Check if this filter has active filters in the query
-	const isSomeFilterPresentForCurrentAttribute = useMemo(
-		() =>
-			currentQuery.builder.queryData?.[activeQueryIndex]?.filters?.items?.some(
-				(item) => isKeyMatch(item.key?.key, filter.attributeKey.key),
-			),
-		[currentQuery.builder.queryData, activeQueryIndex, filter.attributeKey.key],
-	);
-
-	// Derive isOpen from filter state + user action
-	const isOpen = useMemo(() => {
-		// If user explicitly toggled, respect that
-		if (userToggleState !== null) {
-			return userToggleState;
-		}
-
-		// Auto-open if this filter has active filters in the query
-		if (isSomeFilterPresentForCurrentAttribute) {
-			return true;
-		}
-
-		// Otherwise use default behavior (first 2 filters open)
-		return filter.defaultOpen;
-	}, [
-		userToggleState,
+		isOpen,
 		isSomeFilterPresentForCurrentAttribute,
-		filter.defaultOpen,
-	]);
+		visibleItemsCount,
+		onToggleOpen,
+		onShowMore,
+	} = useCheckboxDisclosure({ filter, activeQueryIndex });
 
-	const { data, isLoading } = useGetAggregateValues(
-		{
-			aggregateOperator: filter.aggregateOperator || 'noop',
-			dataSource: filter.dataSource || DataSource.LOGS,
-			aggregateAttribute: filter.aggregateAttribute || '',
-			attributeKey: filter.attributeKey.key,
-			filterAttributeKeyDataType: filter.attributeKey.dataType || DataTypes.EMPTY,
-			tagType: filter.attributeKey.type || '',
-			searchText: searchText ?? '',
-		},
-		{
-			enabled: isOpen && source !== QuickFiltersSource.METER_EXPLORER,
-			keepPreviousData: true,
-		},
-	);
+	const { attributeValues, isLoading } = useCheckboxFilterValues({
+		filter,
+		source,
+		searchText,
+		isOpen,
+	});
 
-	const { data: keyValueSuggestions, isLoading: isLoadingKeyValueSuggestions } =
-		useGetQueryKeyValueSuggestions({
-			key: filter.attributeKey.key,
-			signal: filter.dataSource || DataSource.LOGS,
-			signalSource: 'meter',
-			options: {
-				enabled: isOpen && source === QuickFiltersSource.METER_EXPLORER,
-				keepPreviousData: true,
-			},
-		});
+	const { currentFilterState, isFilterDisabled, isMultipleValuesTrueForTheKey } =
+		useCheckboxFilterState({ filter, attributeValues, activeQueryIndex });
 
-	const attributeValues: string[] = useMemo(() => {
-		const dataType = filter.attributeKey.dataType || DataTypes.String;
-
-		if (source === QuickFiltersSource.METER_EXPLORER && keyValueSuggestions) {
-			// Process the response data
-			const responseData = keyValueSuggestions?.data as any;
-			const values = responseData.data?.values || {};
-			const stringValues = values.stringValues || [];
-			const numberValues = values.numberValues || [];
-
-			// Generate options from string values - explicitly handle empty strings
-			const stringOptions = stringValues
-				// Strict filtering for empty string - we'll handle it as a special case if needed
-				.filter(
-					(value: string | null | undefined): value is string =>
-						value !== null && value !== undefined && value !== '',
-				);
-
-			// Generate options from number values
-			const numberOptions = numberValues
-				.filter(
-					(value: number | null | undefined): value is number =>
-						value !== null && value !== undefined,
-				)
-				.map((value: number) => value.toString());
-
-			// Combine all options and make sure we don't have duplicate labels
-			return [...stringOptions, ...numberOptions];
-		}
-
-		const key = DATA_TYPE_VS_ATTRIBUTE_VALUES_KEY[dataType];
-		return (data?.payload?.[key] || []).filter(
-			(val) => val !== undefined && val !== null,
-		);
-	}, [data?.payload, filter.attributeKey.dataType, keyValueSuggestions, source]);
+	const { onChange, onClear } = useCheckboxFilterActions({
+		filter,
+		source,
+		attributeValues,
+		activeQueryIndex,
+		onFilterChange,
+	});
 
 	const setSearchTextDebounced = useDebouncedFn((...args) => {
 		setSearchText(args[0] as string);
 	}, DEBOUNCE_DELAY);
 
-	// derive the state of each filter key here in the renderer itself and keep it in sync with current query
-	// also we need to keep a note of last focussed query.
-	// eslint-disable-next-line sonarjs/cognitive-complexity
-	const currentFilterState = useMemo(() => {
-		let filterState: Record<string, boolean> = setDefaultValues(
-			attributeValues,
-			false,
-		);
-		const filterSync = currentQuery?.builder.queryData?.[
-			activeQueryIndex
-		]?.filters?.items.find((item) =>
-			isKeyMatch(item.key?.key, filter.attributeKey.key),
-		);
-
-		if (filterSync) {
-			if (SELECTED_OPERATORS.includes(filterSync.op)) {
-				if (isArray(filterSync.value)) {
-					filterSync.value.forEach((val) => {
-						filterState[String(val)] = true;
-					});
-				} else if (typeof filterSync.value === 'string') {
-					filterState[filterSync.value] = true;
-				} else if (typeof filterSync.value === 'boolean') {
-					filterState[String(filterSync.value)] = true;
-				} else if (typeof filterSync.value === 'number') {
-					filterState[String(filterSync.value)] = true;
-				}
-			} else if (NON_SELECTED_OPERATORS.includes(filterSync.op)) {
-				filterState = setDefaultValues(attributeValues, true);
-				if (isArray(filterSync.value)) {
-					filterSync.value.forEach((val) => {
-						filterState[String(val)] = false;
-					});
-				} else if (typeof filterSync.value === 'string') {
-					filterState[filterSync.value] = false;
-				} else if (typeof filterSync.value === 'boolean') {
-					filterState[String(filterSync.value)] = false;
-				} else if (typeof filterSync.value === 'number') {
-					filterState[String(filterSync.value)] = false;
-				}
-			}
-		} else {
-			filterState = setDefaultValues(attributeValues, true);
-		}
-		return filterState;
-	}, [
-		attributeValues,
-		currentQuery?.builder.queryData,
-		filter.attributeKey,
-		activeQueryIndex,
-	]);
-
-	// disable the filter when there are multiple entries of the same attribute key present in the filter bar
-	const isFilterDisabled = useMemo(
-		() =>
-			(currentQuery?.builder?.queryData?.[
-				activeQueryIndex
-			]?.filters?.items?.filter((item) =>
-				isKeyMatch(item.key?.key, filter.attributeKey.key),
-			)?.length || 0) > 1,
-
-		[currentQuery?.builder?.queryData, activeQueryIndex, filter.attributeKey],
-	);
-
-	// variable to check if the current filter has multiple values to its name in the key op value section
-	const isMultipleValuesTrueForTheKey =
-		Object.values(currentFilterState).filter((val) => val).length > 1;
-
 	// Sort checked items to the top, then unchecked items
 	const currentAttributeKeys = useMemo(() => {
 		const checkedValues = attributeValues.filter(
@@ -277,293 +84,6 @@ export default function CheckboxFilter(props: ICheckboxProps): JSX.Element {
 		[currentAttributeKeys, currentFilterState],
 	);
 
-	const handleClearFilterAttribute = (): void => {
-		const preparedQuery: Query = {
-			...currentQuery,
-			builder: {
-				...currentQuery.builder,
-				queryData: currentQuery.builder.queryData.map((item, idx) => ({
-					...item,
-					filter: {
-						expression: removeKeysFromExpression(item.filter?.expression ?? '', [
-							filter.attributeKey.key,
-						]),
-					},
-					filters: {
-						...item.filters,
-						items:
-							idx === activeQueryIndex
-								? item.filters?.items?.filter(
-										(fil) => !isKeyMatch(fil.key?.key, filter.attributeKey.key),
-									) || []
-								: [...(item.filters?.items || [])],
-						op: item.filters?.op || 'AND',
-					},
-				})),
-			},
-		};
-
-		if (onFilterChange && isFunction(onFilterChange)) {
-			onFilterChange(preparedQuery);
-		} else {
-			redirectWithQueryBuilderData(preparedQuery);
-		}
-	};
-
-	const onChange = (
-		value: string,
-		checked: boolean,
-		isOnlyOrAllClicked: boolean,
-		// eslint-disable-next-line sonarjs/cognitive-complexity
-	): void => {
-		const query = cloneDeep(currentQuery.builder.queryData?.[activeQueryIndex]);
-
-		// if only or all are clicked we do not need to worry about anything just override whatever we have
-		// by either adding a new IN operator value clause in case of ONLY or remove everything we have for ALL.
-		if (isOnlyOrAllClicked && query?.filters?.items) {
-			const isOnlyOrAll = isSomeFilterPresentForCurrentAttribute
-				? currentFilterState[value] && !isMultipleValuesTrueForTheKey
-					? 'All'
-					: 'Only'
-				: 'Only';
-			query.filters.items = query.filters.items.filter(
-				(q) => !isKeyMatch(q.key?.key, filter.attributeKey.key),
-			);
-
-			if (query.filter?.expression) {
-				query.filter.expression = removeKeysFromExpression(
-					query.filter.expression,
-					[filter.attributeKey.key],
-				);
-			}
-
-			if (isOnlyOrAll === 'Only') {
-				const newFilterItem: TagFilterItem = {
-					id: uuid(),
-					op: getOperatorValue(OPERATORS.IN),
-					key: filter.attributeKey,
-					value,
-				};
-				query.filters.items = [...query.filters.items, newFilterItem];
-			}
-		} else if (query?.filters?.items) {
-			if (
-				query.filters?.items?.some((item) =>
-					isKeyMatch(item.key?.key, filter.attributeKey.key),
-				)
-			) {
-				// if there is already a running filter for the current attribute key then
-				// we split the cases by which particular operator is present right now!
-				const currentFilter = query.filters?.items?.find((q) =>
-					isKeyMatch(q.key?.key, filter.attributeKey.key),
-				);
-				if (currentFilter) {
-					const runningOperator = currentFilter?.op;
-					switch (runningOperator) {
-						case 'in':
-							if (checked) {
-								// if it's an IN operator then if we are checking another value it get's added to the
-								// filter clause. example -  key IN [value1, currentSelectedValue]
-								if (isArray(currentFilter.value)) {
-									const newFilter = {
-										...currentFilter,
-										value: [...currentFilter.value, value],
-									};
-									query.filters.items = query.filters.items.map((item) => {
-										if (isKeyMatch(item.key?.key, filter.attributeKey.key)) {
-											return newFilter;
-										}
-										return item;
-									});
-								} else {
-									// if the current state wasn't an array we make it one and add our value
-									const newFilter = {
-										...currentFilter,
-										value: [currentFilter.value as string, value],
-									};
-									query.filters.items = query.filters.items.map((item) => {
-										if (isKeyMatch(item.key?.key, filter.attributeKey.key)) {
-											return newFilter;
-										}
-										return item;
-									});
-								}
-							} else if (!checked) {
-								// if we are removing some value when the running operator is IN we filter.
-								// example - key IN [value1,currentSelectedValue] becomes key IN [value1] in case of array
-								if (isArray(currentFilter.value)) {
-									const newFilter = {
-										...currentFilter,
-										value: currentFilter.value.filter((val) => val !== value),
-									};
-
-									if (newFilter.value.length === 0) {
-										query.filters.items = query.filters.items.filter(
-											(item) => !isKeyMatch(item.key?.key, filter.attributeKey.key),
-										);
-									} else {
-										query.filters.items = query.filters.items.map((item) => {
-											if (isKeyMatch(item.key?.key, filter.attributeKey.key)) {
-												return newFilter;
-											}
-											return item;
-										});
-									}
-								} else {
-									// if not an array remove the whole thing altogether!
-									query.filters.items = query.filters.items.filter(
-										(item) => !isKeyMatch(item.key?.key, filter.attributeKey.key),
-									);
-								}
-							}
-							break;
-						case 'nin':
-						case 'not in':
-							// if the current running operator is NIN then when unchecking the value it gets
-							// added to the clause like key NIN [value1 , currentUnselectedValue]
-							if (!checked) {
-								// in case of array add the currentUnselectedValue to the list.
-								if (isArray(currentFilter.value)) {
-									const newFilter = {
-										...currentFilter,
-										value: [...currentFilter.value, value],
-									};
-									query.filters.items = query.filters.items.map((item) => {
-										if (isKeyMatch(item.key?.key, filter.attributeKey.key)) {
-											return newFilter;
-										}
-										return item;
-									});
-								} else {
-									// in case of not an array make it one!
-									const newFilter = {
-										...currentFilter,
-										value: [currentFilter.value as string, value],
-									};
-									query.filters.items = query.filters.items.map((item) => {
-										if (isKeyMatch(item.key?.key, filter.attributeKey.key)) {
-											return newFilter;
-										}
-										return item;
-									});
-								}
-							} else if (checked) {
-								// opposite of above!
-								if (isArray(currentFilter.value)) {
-									const newFilter = {
-										...currentFilter,
-										value: currentFilter.value.filter((val) => val !== value),
-									};
-									if (newFilter.value.length === 0) {
-										query.filters.items = query.filters.items.filter(
-											(item) => !isKeyMatch(item.key?.key, filter.attributeKey.key),
-										);
-										if (query.filter?.expression) {
-											query.filter.expression = removeKeysFromExpression(
-												query.filter.expression,
-												[filter.attributeKey.key],
-											);
-										}
-									} else {
-										query.filters.items = query.filters.items.map((item) => {
-											if (isKeyMatch(item.key?.key, filter.attributeKey.key)) {
-												return newFilter;
-											}
-											return item;
-										});
-									}
-								} else {
-									const newFilter = {
-										...currentFilter,
-										value: currentFilter.value === value ? null : currentFilter.value,
-									};
-									if (newFilter.value === null && query.filter?.expression) {
-										query.filter.expression = removeKeysFromExpression(
-											query.filter.expression,
-											[filter.attributeKey.key],
-										);
-									}
-									query.filters.items = query.filters.items.filter(
-										(item) => !isKeyMatch(item.key?.key, filter.attributeKey.key),
-									);
-								}
-							}
-							break;
-						case '=':
-							if (checked) {
-								const newFilter = {
-									...currentFilter,
-									op: getOperatorValue(OPERATORS.IN),
-									value: [currentFilter.value as string, value],
-								};
-								query.filters.items = query.filters.items.map((item) => {
-									if (isKeyMatch(item.key?.key, filter.attributeKey.key)) {
-										return newFilter;
-									}
-									return item;
-								});
-							} else if (!checked) {
-								query.filters.items = query.filters.items.filter(
-									(item) => !isKeyMatch(item.key?.key, filter.attributeKey.key),
-								);
-							}
-							break;
-						case '!=':
-							if (!checked) {
-								const newFilter = {
-									...currentFilter,
-									op: getNotInOperator(source),
-									value: [currentFilter.value as string, value],
-								};
-								query.filters.items = query.filters.items.map((item) => {
-									if (isKeyMatch(item.key?.key, filter.attributeKey.key)) {
-										return newFilter;
-									}
-									return item;
-								});
-							} else if (checked) {
-								query.filters.items = query.filters.items.filter(
-									(item) => !isKeyMatch(item.key?.key, filter.attributeKey.key),
-								);
-							}
-							break;
-						default:
-							break;
-					}
-				}
-			} else {
-				// case  - when there is no filter for the current key that means all are selected right now.
-				const newFilterItem: TagFilterItem = {
-					id: uuid(),
-					op: getNotInOperator(source),
-					key: filter.attributeKey,
-					value,
-				};
-				query.filters.items = [...query.filters.items, newFilterItem];
-			}
-		}
-		const finalQuery = {
-			...currentQuery,
-			builder: {
-				...currentQuery.builder,
-				queryData: [
-					...currentQuery.builder.queryData.map((q, idx) => {
-						if (idx === activeQueryIndex) {
-							return query;
-						}
-						return q;
-					}),
-				],
-			},
-		};
-
-		if (onFilterChange && isFunction(onFilterChange)) {
-			onFilterChange(finalQuery);
-		} else {
-			redirectWithQueryBuilderData(finalQuery);
-		}
-	};
-
 	const isEmptyStateWithDocsEnabled =
 		SOURCES_WITH_EMPTY_STATE_ENABLED.includes(source) &&
 		!searchText &&
@@ -571,48 +91,19 @@ export default function CheckboxFilter(props: ICheckboxProps): JSX.Element {
 
 	return (
 		<div className="checkbox-filter">
-			<section
-				className="filter-header-checkbox"
-				onClick={(): void => {
-					if (isOpen) {
-						setUserToggleState(false);
-						setVisibleItemsCount(10);
-					} else {
-						setUserToggleState(true);
-					}
-				}}
-			>
-				<section className="left-action">
-					{isOpen ? (
-						<ChevronDown size={13} cursor="pointer" />
-					) : (
-						<ChevronRight size={13} cursor="pointer" />
-					)}
-					<Typography.Text className="title">{filter.title}</Typography.Text>
+			<CheckboxFilterHeader
+				title={filter.title}
+				isOpen={isOpen}
+				showClearAll={!!attributeValues.length}
+				onToggleOpen={onToggleOpen}
+				onClear={onClear}
+			/>
+			{isOpen && isLoading && !attributeValues.length && (
+				<section className="loading">
+					<Skeleton paragraph={{ rows: 4 }} />
 				</section>
-				<section className="right-action">
-					{isOpen && !!attributeValues.length && (
-						<Typography.Text
-							className="clear-all"
-							onClick={(e): void => {
-								e.stopPropagation();
-								e.preventDefault();
-								handleClearFilterAttribute();
-							}}
-						>
-							Clear All
-						</Typography.Text>
-					)}
-				</section>
-			</section>
-			{isOpen &&
-				(isLoading || isLoadingKeyValueSuggestions) &&
-				!attributeValues.length && (
-					<section className="loading">
-						<Skeleton paragraph={{ rows: 4 }} />
-					</section>
-				)}
-			{isOpen && !isLoading && !isLoadingKeyValueSuggestions && (
+			)}
+			{isOpen && !isLoading && (
 				<>
 					{!isEmptyStateWithDocsEnabled && (
 						<section className="search">
@@ -634,48 +125,24 @@ export default function CheckboxFilter(props: ICheckboxProps): JSX.Element {
 											data-testid="filter-separator"
 										/>
 									)}
-									<div className="value">
-										<Checkbox
-											onChange={(checked): void =>
-												onChange(value, checked === true, false)
-											}
-											value={currentFilterState[value]}
-											disabled={isFilterDisabled}
-											className="check-box"
-										/>
-
-										<div
-											className={cx(
-												'checkbox-value-section',
-												isFilterDisabled ? 'filter-disabled' : '',
-											)}
-											onClick={(): void => {
-												if (isFilterDisabled) {
-													return;
-												}
-												onChange(value, currentFilterState[value], true);
-											}}
-										>
-											<div className={`${filter.title} label-${value}`} />
-											{filter.customRendererForValue ? (
-												filter.customRendererForValue(value)
-											) : (
-												<Typography.Text className="value-string" truncate={1}>
-													{String(value)}
-												</Typography.Text>
-											)}
-											<Button type="text" className="only-btn">
-												{isSomeFilterPresentForCurrentAttribute
-													? currentFilterState[value] && !isMultipleValuesTrueForTheKey
-														? 'All'
-														: 'Only'
-													: 'Only'}
-											</Button>
-											<Button type="text" className="toggle-btn">
-												Toggle
-											</Button>
-										</div>
-									</div>
+									<CheckboxValueRow
+										value={value}
+										checked={currentFilterState[value]}
+										disabled={isFilterDisabled}
+										title={filter.title}
+										onlyButtonLabel={
+											isSomeFilterPresentForCurrentAttribute
+												? currentFilterState[value] && !isMultipleValuesTrueForTheKey
+													? 'All'
+													: 'Only'
+												: 'Only'
+										}
+										customRendererForValue={filter.customRendererForValue}
+										onCheckboxChange={(checked): void => onChange(value, checked, false)}
+										onOnlyOrAllClick={(): void =>
+											onChange(value, currentFilterState[value], true)
+										}
+									/>
 								</Fragment>
 							))}
 						</section>
@@ -688,10 +155,7 @@ export default function CheckboxFilter(props: ICheckboxProps): JSX.Element {
 					)}
 					{visibleItemsCount < attributeValues?.length && (
 						<section className="show-more">
-							<Typography.Text
-								className="show-more-text"
-								onClick={(): void => setVisibleItemsCount((prev) => prev + 10)}
-							>
+							<Typography.Text className="show-more-text" onClick={onShowMore}>
 								Show More...
 							</Typography.Text>
 						</section>

frontend/src/components/QuickFilters/FilterRenderers/Checkbox/CheckboxFilterHeader.tsx

@@ -0,0 +1,47 @@
+import { Typography } from '@signozhq/ui/typography';
+import { ChevronDown, ChevronRight } from '@signozhq/icons';
+
+interface CheckboxFilterHeaderProps {
+	title: string;
+	isOpen: boolean;
+	showClearAll: boolean;
+	onToggleOpen: () => void;
+	onClear: () => void;
+}
+
+function CheckboxFilterHeader({
+	title,
+	isOpen,
+	showClearAll,
+	onToggleOpen,
+	onClear,
+}: CheckboxFilterHeaderProps): JSX.Element {
+	return (
+		<section className="filter-header-checkbox" onClick={onToggleOpen}>
+			<section className="left-action">
+				{isOpen ? (
+					<ChevronDown size={13} cursor="pointer" />
+				) : (
+					<ChevronRight size={13} cursor="pointer" />
+				)}
+				<Typography.Text className="title">{title}</Typography.Text>
+			</section>
+			<section className="right-action">
+				{isOpen && showClearAll && (
+					<Typography.Text
+						className="clear-all"
+						onClick={(e): void => {
+							e.stopPropagation();
+							e.preventDefault();
+							onClear();
+						}}
+					>
+						Clear All
+					</Typography.Text>
+				)}
+			</section>
+		</section>
+	);
+}
+
+export default CheckboxFilterHeader;

frontend/src/components/QuickFilters/FilterRenderers/Checkbox/CheckboxValueRow.tsx

@@ -0,0 +1,68 @@
+import { Button } from 'antd';
+import { Checkbox } from '@signozhq/ui/checkbox';
+import { Typography } from '@signozhq/ui/typography';
+import cx from 'classnames';
+
+interface CheckboxValueRowProps {
+	value: string;
+	checked: boolean;
+	disabled: boolean;
+	title: string;
+	onlyButtonLabel: string;
+	customRendererForValue?: (value: string) => JSX.Element;
+	onCheckboxChange: (checked: boolean) => void;
+	onOnlyOrAllClick: () => void;
+}
+
+function CheckboxValueRow({
+	value,
+	checked,
+	disabled,
+	title,
+	onlyButtonLabel,
+	customRendererForValue,
+	onCheckboxChange,
+	onOnlyOrAllClick,
+}: CheckboxValueRowProps): JSX.Element {
+	return (
+		<div className="value">
+			<Checkbox
+				onChange={(isChecked): void => onCheckboxChange(isChecked === true)}
+				value={checked}
+				disabled={disabled}
+				className="check-box"
+			/>
+
+			<div
+				className={cx('checkbox-value-section', disabled ? 'filter-disabled' : '')}
+				onClick={(): void => {
+					if (disabled) {
+						return;
+					}
+					onOnlyOrAllClick();
+				}}
+			>
+				<div className={`${title} label-${value}`} />
+				{customRendererForValue ? (
+					customRendererForValue(value)
+				) : (
+					<Typography.Text className="value-string" truncate={1}>
+						{String(value)}
+					</Typography.Text>
+				)}
+				<Button type="text" className="only-btn">
+					{onlyButtonLabel}
+				</Button>
+				<Button type="text" className="toggle-btn">
+					Toggle
+				</Button>
+			</div>
+		</div>
+	);
+}
+
+CheckboxValueRow.defaultProps = {
+	customRendererForValue: undefined,
+};
+
+export default CheckboxValueRow;

frontend/src/components/QuickFilters/FilterRenderers/Checkbox/checkboxFilterQuery.ts

@@ -0,0 +1,417 @@
+/* eslint-disable sonarjs/no-identical-functions */
+import { removeKeysFromExpression } from 'components/QueryBuilderV2/utils';
+import {
+	IQuickFiltersConfig,
+	QuickFiltersSource,
+} from 'components/QuickFilters/types';
+import { OPERATORS } from 'constants/antlrQueryConstants';
+import { getOperatorValue } from 'container/QueryBuilder/filters/QueryBuilderSearch/utils';
+import { cloneDeep, isArray } from 'lodash-es';
+import { Query, TagFilterItem } from 'types/api/queryBuilder/queryBuilderData';
+import { v4 as uuid } from 'uuid';
+
+import { isKeyMatch } from './utils';
+
+export const SELECTED_OPERATORS = [OPERATORS['='], 'in'];
+export const NON_SELECTED_OPERATORS = [OPERATORS['!='], 'not in', 'nin'];
+
+// Sources that use backend APIs expecting short operator format (e.g., 'nin' instead of 'not in')
+const SOURCES_WITH_SHORT_OPERATORS = [QuickFiltersSource.INFRA_MONITORING];
+
+/**
+ * Returns the correct NOT_IN operator value based on source.
+ * InfraMonitoring backend expects 'nin', others expect 'not in'.
+ */
+export function getNotInOperator(source: QuickFiltersSource): string {
+	if (SOURCES_WITH_SHORT_OPERATORS.includes(source)) {
+		return 'nin';
+	}
+	return getOperatorValue('NOT_IN');
+}
+
+function setDefaultValues(
+	values: string[],
+	trueOrFalse: boolean,
+): Record<string, boolean> {
+	const defaultState: Record<string, boolean> = {};
+	values.forEach((val) => {
+		defaultState[val] = trueOrFalse;
+	});
+	return defaultState;
+}
+
+/**
+ * Derives the checked/unchecked state for each attribute value by reading the
+ * active filter clause for this attribute key out of the query.
+ *
+ * - No matching clause -> every value is checked (all selected).
+ * - IN / `=` clause     -> only the listed values are checked.
+ * - NOT IN / `!=` clause -> every value is checked except the excluded ones.
+ */
+// eslint-disable-next-line sonarjs/cognitive-complexity
+export function deriveCheckboxState({
+	attributeValues,
+	filterItems,
+	filterKey,
+}: {
+	attributeValues: string[];
+	filterItems: TagFilterItem[] | undefined;
+	filterKey: string;
+}): Record<string, boolean> {
+	let filterState: Record<string, boolean> = setDefaultValues(
+		attributeValues,
+		false,
+	);
+	const filterSync = filterItems?.find((item) =>
+		isKeyMatch(item.key?.key, filterKey),
+	);
+
+	if (filterSync) {
+		if (SELECTED_OPERATORS.includes(filterSync.op)) {
+			if (isArray(filterSync.value)) {
+				filterSync.value.forEach((val) => {
+					filterState[String(val)] = true;
+				});
+			} else if (typeof filterSync.value === 'string') {
+				filterState[filterSync.value] = true;
+			} else if (typeof filterSync.value === 'boolean') {
+				filterState[String(filterSync.value)] = true;
+			} else if (typeof filterSync.value === 'number') {
+				filterState[String(filterSync.value)] = true;
+			}
+		} else if (NON_SELECTED_OPERATORS.includes(filterSync.op)) {
+			filterState = setDefaultValues(attributeValues, true);
+			if (isArray(filterSync.value)) {
+				filterSync.value.forEach((val) => {
+					filterState[String(val)] = false;
+				});
+			} else if (typeof filterSync.value === 'string') {
+				filterState[filterSync.value] = false;
+			} else if (typeof filterSync.value === 'boolean') {
+				filterState[String(filterSync.value)] = false;
+			} else if (typeof filterSync.value === 'number') {
+				filterState[String(filterSync.value)] = false;
+			}
+		}
+	} else {
+		filterState = setDefaultValues(attributeValues, true);
+	}
+	return filterState;
+}
+
+/**
+ * Returns a new query with every clause for this attribute key removed, both
+ * from the structured filter items and the raw filter expression.
+ */
+export function clearFilterFromQuery({
+	currentQuery,
+	filter,
+	activeQueryIndex,
+}: {
+	currentQuery: Query;
+	filter: IQuickFiltersConfig;
+	activeQueryIndex: number;
+}): Query {
+	return {
+		...currentQuery,
+		builder: {
+			...currentQuery.builder,
+			queryData: currentQuery.builder.queryData.map((item, idx) => ({
+				...item,
+				filter: {
+					expression: removeKeysFromExpression(item.filter?.expression ?? '', [
+						filter.attributeKey.key,
+					]),
+				},
+				filters: {
+					...item.filters,
+					items:
+						idx === activeQueryIndex
+							? item.filters?.items?.filter(
+									(fil) => !isKeyMatch(fil.key?.key, filter.attributeKey.key),
+								) || []
+							: [...(item.filters?.items || [])],
+					op: item.filters?.op || 'AND',
+				},
+			})),
+		},
+	};
+}
+
+// eslint-disable-next-line sonarjs/cognitive-complexity
+export function applyCheckboxToggle({
+	currentQuery,
+	activeQueryIndex,
+	filter,
+	source,
+	attributeValues,
+	value,
+	checked,
+	isOnlyOrAllClicked,
+}: {
+	currentQuery: Query;
+	activeQueryIndex: number;
+	filter: IQuickFiltersConfig;
+	source: QuickFiltersSource;
+	attributeValues: string[];
+	value: string;
+	checked: boolean;
+	isOnlyOrAllClicked: boolean;
+}): Query {
+	const activeItems =
+		currentQuery.builder.queryData?.[activeQueryIndex]?.filters?.items;
+
+	const isSomeFilterPresentForCurrentAttribute = !!activeItems?.some((item) =>
+		isKeyMatch(item.key?.key, filter.attributeKey.key),
+	);
+
+	const currentFilterState = deriveCheckboxState({
+		attributeValues,
+		filterItems: activeItems,
+		filterKey: filter.attributeKey.key,
+	});
+
+	const isMultipleValuesTrueForTheKey =
+		Object.values(currentFilterState).filter((val) => val).length > 1;
+
+	const query = cloneDeep(currentQuery.builder.queryData?.[activeQueryIndex]);
+
+	// if only or all are clicked we do not need to worry about anything just override whatever we have
+	// by either adding a new IN operator value clause in case of ONLY or remove everything we have for ALL.
+	if (isOnlyOrAllClicked && query?.filters?.items) {
+		const isOnlyOrAll = isSomeFilterPresentForCurrentAttribute
+			? currentFilterState[value] && !isMultipleValuesTrueForTheKey
+				? 'All'
+				: 'Only'
+			: 'Only';
+		query.filters.items = query.filters.items.filter(
+			(q) => !isKeyMatch(q.key?.key, filter.attributeKey.key),
+		);
+
+		if (query.filter?.expression) {
+			query.filter.expression = removeKeysFromExpression(query.filter.expression, [
+				filter.attributeKey.key,
+			]);
+		}
+
+		if (isOnlyOrAll === 'Only') {
+			const newFilterItem: TagFilterItem = {
+				id: uuid(),
+				op: getOperatorValue(OPERATORS.IN),
+				key: filter.attributeKey,
+				value,
+			};
+			query.filters.items = [...query.filters.items, newFilterItem];
+		}
+	} else if (query?.filters?.items) {
+		if (
+			query.filters?.items?.some((item) =>
+				isKeyMatch(item.key?.key, filter.attributeKey.key),
+			)
+		) {
+			// if there is already a running filter for the current attribute key then
+			// we split the cases by which particular operator is present right now!
+			const currentFilter = query.filters?.items?.find((q) =>
+				isKeyMatch(q.key?.key, filter.attributeKey.key),
+			);
+			if (currentFilter) {
+				const runningOperator = currentFilter?.op;
+				switch (runningOperator) {
+					case 'in':
+						if (checked) {
+							// if it's an IN operator then if we are checking another value it get's added to the
+							// filter clause. example -  key IN [value1, currentSelectedValue]
+							if (isArray(currentFilter.value)) {
+								const newFilter = {
+									...currentFilter,
+									value: [...currentFilter.value, value],
+								};
+								query.filters.items = query.filters.items.map((item) => {
+									if (isKeyMatch(item.key?.key, filter.attributeKey.key)) {
+										return newFilter;
+									}
+									return item;
+								});
+							} else {
+								// if the current state wasn't an array we make it one and add our value
+								const newFilter = {
+									...currentFilter,
+									value: [currentFilter.value as string, value],
+								};
+								query.filters.items = query.filters.items.map((item) => {
+									if (isKeyMatch(item.key?.key, filter.attributeKey.key)) {
+										return newFilter;
+									}
+									return item;
+								});
+							}
+						} else if (!checked) {
+							// if we are removing some value when the running operator is IN we filter.
+							// example - key IN [value1,currentSelectedValue] becomes key IN [value1] in case of array
+							if (isArray(currentFilter.value)) {
+								const newFilter = {
+									...currentFilter,
+									value: currentFilter.value.filter((val) => val !== value),
+								};
+
+								if (newFilter.value.length === 0) {
+									query.filters.items = query.filters.items.filter(
+										(item) => !isKeyMatch(item.key?.key, filter.attributeKey.key),
+									);
+								} else {
+									query.filters.items = query.filters.items.map((item) => {
+										if (isKeyMatch(item.key?.key, filter.attributeKey.key)) {
+											return newFilter;
+										}
+										return item;
+									});
+								}
+							} else {
+								// if not an array remove the whole thing altogether!
+								query.filters.items = query.filters.items.filter(
+									(item) => !isKeyMatch(item.key?.key, filter.attributeKey.key),
+								);
+							}
+						}
+						break;
+					case 'nin':
+					case 'not in':
+						// if the current running operator is NIN then when unchecking the value it gets
+						// added to the clause like key NIN [value1 , currentUnselectedValue]
+						if (!checked) {
+							// in case of array add the currentUnselectedValue to the list.
+							if (isArray(currentFilter.value)) {
+								const newFilter = {
+									...currentFilter,
+									value: [...currentFilter.value, value],
+								};
+								query.filters.items = query.filters.items.map((item) => {
+									if (isKeyMatch(item.key?.key, filter.attributeKey.key)) {
+										return newFilter;
+									}
+									return item;
+								});
+							} else {
+								// in case of not an array make it one!
+								const newFilter = {
+									...currentFilter,
+									value: [currentFilter.value as string, value],
+								};
+								query.filters.items = query.filters.items.map((item) => {
+									if (isKeyMatch(item.key?.key, filter.attributeKey.key)) {
+										return newFilter;
+									}
+									return item;
+								});
+							}
+						} else if (checked) {
+							// opposite of above!
+							if (isArray(currentFilter.value)) {
+								const newFilter = {
+									...currentFilter,
+									value: currentFilter.value.filter((val) => val !== value),
+								};
+								if (newFilter.value.length === 0) {
+									query.filters.items = query.filters.items.filter(
+										(item) => !isKeyMatch(item.key?.key, filter.attributeKey.key),
+									);
+									if (query.filter?.expression) {
+										query.filter.expression = removeKeysFromExpression(
+											query.filter.expression,
+											[filter.attributeKey.key],
+										);
+									}
+								} else {
+									query.filters.items = query.filters.items.map((item) => {
+										if (isKeyMatch(item.key?.key, filter.attributeKey.key)) {
+											return newFilter;
+										}
+										return item;
+									});
+								}
+							} else {
+								const newFilter = {
+									...currentFilter,
+									value: currentFilter.value === value ? null : currentFilter.value,
+								};
+								if (newFilter.value === null && query.filter?.expression) {
+									query.filter.expression = removeKeysFromExpression(
+										query.filter.expression,
+										[filter.attributeKey.key],
+									);
+								}
+								query.filters.items = query.filters.items.filter(
+									(item) => !isKeyMatch(item.key?.key, filter.attributeKey.key),
+								);
+							}
+						}
+						break;
+					case '=':
+						if (checked) {
+							const newFilter = {
+								...currentFilter,
+								op: getOperatorValue(OPERATORS.IN),
+								value: [currentFilter.value as string, value],
+							};
+							query.filters.items = query.filters.items.map((item) => {
+								if (isKeyMatch(item.key?.key, filter.attributeKey.key)) {
+									return newFilter;
+								}
+								return item;
+							});
+						} else if (!checked) {
+							query.filters.items = query.filters.items.filter(
+								(item) => !isKeyMatch(item.key?.key, filter.attributeKey.key),
+							);
+						}
+						break;
+					case '!=':
+						if (!checked) {
+							const newFilter = {
+								...currentFilter,
+								op: getNotInOperator(source),
+								value: [currentFilter.value as string, value],
+							};
+							query.filters.items = query.filters.items.map((item) => {
+								if (isKeyMatch(item.key?.key, filter.attributeKey.key)) {
+									return newFilter;
+								}
+								return item;
+							});
+						} else if (checked) {
+							query.filters.items = query.filters.items.filter(
+								(item) => !isKeyMatch(item.key?.key, filter.attributeKey.key),
+							);
+						}
+						break;
+					default:
+						break;
+				}
+			}
+		} else {
+			// case  - when there is no filter for the current key that means all are selected right now.
+			const newFilterItem: TagFilterItem = {
+				id: uuid(),
+				op: getNotInOperator(source),
+				key: filter.attributeKey,
+				value,
+			};
+			query.filters.items = [...query.filters.items, newFilterItem];
+		}
+	}
+
+	return {
+		...currentQuery,
+		builder: {
+			...currentQuery.builder,
+			queryData: [
+				...currentQuery.builder.queryData.map((q, idx) => {
+					if (idx === activeQueryIndex) {
+						return query;
+					}
+					return q;
+				}),
+			],
+		},
+	};
+}

frontend/src/components/QuickFilters/FilterRenderers/Checkbox/useActiveQueryIndex.ts

@@ -0,0 +1,27 @@
+import { useMemo } from 'react';
+import { QuickFiltersSource } from 'components/QuickFilters/types';
+import { PANEL_TYPES } from 'constants/queryBuilder';
+import { useQueryBuilder } from 'hooks/queryBuilder/useQueryBuilder';
+
+/**
+ * Resolves which query-builder query index the checkbox filter reads from and
+ * writes to.
+ *
+ * In ListView most sources use index 0; TRACES_EXPLORER and every non-ListView
+ * mode track the last focused query.
+ */
+function useActiveQueryIndex(source: QuickFiltersSource): number {
+	const { lastUsedQuery, panelType } = useQueryBuilder();
+	const isListView = panelType === PANEL_TYPES.LIST;
+
+	return useMemo(() => {
+		if (isListView) {
+			return source === QuickFiltersSource.TRACES_EXPLORER
+				? lastUsedQuery || 0
+				: 0;
+		}
+		return lastUsedQuery || 0;
+	}, [isListView, source, lastUsedQuery]);
+}
+
+export default useActiveQueryIndex;

frontend/src/components/QuickFilters/FilterRenderers/Checkbox/useCheckboxDisclosure.ts

@@ -0,0 +1,90 @@
+import { useMemo, useState } from 'react';
+import { IQuickFiltersConfig } from 'components/QuickFilters/types';
+import { useQueryBuilder } from 'hooks/queryBuilder/useQueryBuilder';
+
+import { isKeyMatch } from './utils';
+
+const DEFAULT_VISIBLE_ITEMS_COUNT = 10;
+
+interface UseCheckboxDisclosureProps {
+	filter: IQuickFiltersConfig;
+	activeQueryIndex: number;
+}
+
+interface UseCheckboxDisclosureReturn {
+	isOpen: boolean;
+	isSomeFilterPresentForCurrentAttribute: boolean;
+	visibleItemsCount: number;
+	onToggleOpen: () => void;
+	onShowMore: () => void;
+}
+
+/**
+ * Owns the open/collapsed state of a checkbox filter section and how many
+ * values are visible.
+ *
+ * Auto-opens when the query already has a clause for this attribute, otherwise
+ * falls back to `filter.defaultOpen`. An explicit user toggle always wins.
+ * Collapsing resets the visible count.
+ */
+function useCheckboxDisclosure({
+	filter,
+	activeQueryIndex,
+}: UseCheckboxDisclosureProps): UseCheckboxDisclosureReturn {
+	const { currentQuery } = useQueryBuilder();
+	// null = no user action, true = user opened, false = user closed
+	const [userToggleState, setUserToggleState] = useState<boolean | null>(null);
+	const [visibleItemsCount, setVisibleItemsCount] = useState<number>(
+		DEFAULT_VISIBLE_ITEMS_COUNT,
+	);
+
+	const isSomeFilterPresentForCurrentAttribute = useMemo(
+		() =>
+			!!currentQuery.builder.queryData?.[activeQueryIndex]?.filters?.items?.some(
+				(item) => isKeyMatch(item.key?.key, filter.attributeKey.key),
+			),
+		[currentQuery.builder.queryData, activeQueryIndex, filter.attributeKey.key],
+	);
+
+	const isOpen = useMemo(() => {
+		// If user explicitly toggled, respect that
+		if (userToggleState !== null) {
+			return userToggleState;
+		}
+
+		// Auto-open if this filter has active filters in the query
+		if (isSomeFilterPresentForCurrentAttribute) {
+			return true;
+		}
+
+		// Otherwise use default behavior (first 2 filters open)
+		return filter.defaultOpen;
+	}, [
+		userToggleState,
+		isSomeFilterPresentForCurrentAttribute,
+		filter.defaultOpen,
+	]);
+
+	const onToggleOpen = (): void => {
+		if (isOpen) {
+			setUserToggleState(false);
+			setVisibleItemsCount(DEFAULT_VISIBLE_ITEMS_COUNT);
+		} else {
+			setUserToggleState(true);
+		}
+	};
+
+	const onShowMore = (): void => {
+		setVisibleItemsCount((prev) => prev + DEFAULT_VISIBLE_ITEMS_COUNT);
+	};
+
+	return {
+		isOpen,
+		isSomeFilterPresentForCurrentAttribute,
+		visibleItemsCount,
+		onToggleOpen,
+		onShowMore,
+	};
+}
+
+export default useCheckboxDisclosure;

frontend/src/components/QuickFilters/FilterRenderers/Checkbox/useCheckboxFilterActions.ts

@@ -0,0 +1,78 @@
+import {
+	IQuickFiltersConfig,
+	QuickFiltersSource,
+} from 'components/QuickFilters/types';
+import { useQueryBuilder } from 'hooks/queryBuilder/useQueryBuilder';
+import { isFunction } from 'lodash-es';
+import { Query } from 'types/api/queryBuilder/queryBuilderData';
+
+import {
+	applyCheckboxToggle,
+	clearFilterFromQuery,
+} from './checkboxFilterQuery';
+
+interface UseCheckboxFilterActionsProps {
+	filter: IQuickFiltersConfig;
+	source: QuickFiltersSource;
+	attributeValues: string[];
+	activeQueryIndex: number;
+	onFilterChange?: ((query: Query) => void) | null;
+}
+
+interface UseCheckboxFilterActionsReturn {
+	onChange: (
+		value: string,
+		checked: boolean,
+		isOnlyOrAllClicked: boolean,
+	) => void;
+	onClear: () => void;
+}
+
+/**
+ * Wires the pure checkbox query algebra to query-builder dispatch: the
+ * caller-provided `onFilterChange` when present, otherwise a URL redirect.
+ */
+function useCheckboxFilterActions({
+	filter,
+	source,
+	attributeValues,
+	activeQueryIndex,
+	onFilterChange,
+}: UseCheckboxFilterActionsProps): UseCheckboxFilterActionsReturn {
+	const { currentQuery, redirectWithQueryBuilderData } = useQueryBuilder();
+
+	const dispatch = (query: Query): void => {
+		if (onFilterChange && isFunction(onFilterChange)) {
+			onFilterChange(query);
+		} else {
+			redirectWithQueryBuilderData(query);
+		}
+	};
+
+	const onChange = (
+		value: string,
+		checked: boolean,
+		isOnlyOrAllClicked: boolean,
+	): void => {
+		dispatch(
+			applyCheckboxToggle({
+				currentQuery,
+				activeQueryIndex,
+				filter,
+				source,
+				attributeValues,
+				value,
+				checked,
+				isOnlyOrAllClicked,
+			}),
+		);
+	};
+
+	const onClear = (): void => {
+		dispatch(clearFilterFromQuery({ currentQuery, filter, activeQueryIndex }));
+	};
+
+	return { onChange, onClear };
+}
+
+export default useCheckboxFilterActions;

frontend/src/components/QuickFilters/FilterRenderers/Checkbox/useCheckboxFilterState.ts

@@ -0,0 +1,71 @@
+import { useMemo } from 'react';
+import { IQuickFiltersConfig } from 'components/QuickFilters/types';
+import { useQueryBuilder } from 'hooks/queryBuilder/useQueryBuilder';
+
+import { deriveCheckboxState } from './checkboxFilterQuery';
+import { isKeyMatch } from './utils';
+
+interface UseCheckboxFilterStateProps {
+	filter: IQuickFiltersConfig;
+	attributeValues: string[];
+	activeQueryIndex: number;
+}
+
+interface UseCheckboxFilterStateReturn {
+	currentFilterState: Record<string, boolean>;
+	isFilterDisabled: boolean;
+	isMultipleValuesTrueForTheKey: boolean;
+}
+
+/**
+ * Reads the active query and derives the per-value checked state for this
+ * attribute, whether the filter is disabled (same key used more than once in
+ * the filter bar), and whether more than one value is currently selected.
+ */
+function useCheckboxFilterState({
+	filter,
+	attributeValues,
+	activeQueryIndex,
+}: UseCheckboxFilterStateProps): UseCheckboxFilterStateReturn {
+	const { currentQuery } = useQueryBuilder();
+
+	// derive the state of each filter key here and keep it in sync with current query
+	const currentFilterState = useMemo(
+		() =>
+			deriveCheckboxState({
+				attributeValues,
+				filterItems:
+					currentQuery?.builder.queryData?.[activeQueryIndex]?.filters?.items,
+				filterKey: filter.attributeKey.key,
+			}),
+		[
+			attributeValues,
+			currentQuery?.builder.queryData,
+			filter.attributeKey,
+			activeQueryIndex,
+		],
+	);
+
+	// disable the filter when there are multiple entries of the same attribute key present in the filter bar
+	const isFilterDisabled = useMemo(
+		() =>
+			(currentQuery?.builder?.queryData?.[
+				activeQueryIndex
+			]?.filters?.items?.filter((item) =>
+				isKeyMatch(item.key?.key, filter.attributeKey.key),
+			)?.length || 0) > 1,
+		[currentQuery?.builder?.queryData, activeQueryIndex, filter.attributeKey],
+	);
+
+	// whether the current filter has multiple values to its name in the key op value section
+	const isMultipleValuesTrueForTheKey =
+		Object.values(currentFilterState).filter((val) => val).length > 1;
+
+	return {
+		currentFilterState,
+		isFilterDisabled,
+		isMultipleValuesTrueForTheKey,
+	};
+}
+
+export default useCheckboxFilterState;

frontend/src/components/QuickFilters/FilterRenderers/Checkbox/useCheckboxFilterValues.tsx

@@ -0,0 +1,99 @@
+import { useMemo } from 'react';
+import {
+	IQuickFiltersConfig,
+	QuickFiltersSource,
+} from 'components/QuickFilters/types';
+import { DATA_TYPE_VS_ATTRIBUTE_VALUES_KEY } from 'constants/queryBuilder';
+import { useGetAggregateValues } from 'hooks/queryBuilder/useGetAggregateValues';
+import { useGetQueryKeyValueSuggestions } from 'hooks/querySuggestions/useGetQueryKeyValueSuggestions';
+import { DataTypes } from 'types/api/queryBuilder/queryAutocompleteResponse';
+import { DataSource } from 'types/common/queryBuilder';
+
+interface UseCheckboxFilterValuesProps {
+	filter: IQuickFiltersConfig;
+	source: QuickFiltersSource;
+	searchText: string;
+	isOpen: boolean;
+}
+
+interface UseCheckboxFilterValuesReturn {
+	attributeValues: string[];
+	isLoading: boolean;
+}
+
+function useCheckboxFilterValues({
+	filter,
+	source,
+	searchText,
+	isOpen,
+}: UseCheckboxFilterValuesProps): UseCheckboxFilterValuesReturn {
+	const { data, isLoading } = useGetAggregateValues(
+		{
+			aggregateOperator: filter.aggregateOperator || 'noop',
+			dataSource: filter.dataSource || DataSource.LOGS,
+			aggregateAttribute: filter.aggregateAttribute || '',
+			attributeKey: filter.attributeKey.key,
+			filterAttributeKeyDataType: filter.attributeKey.dataType || DataTypes.EMPTY,
+			tagType: filter.attributeKey.type || '',
+			searchText: searchText ?? '',
+		},
+		{
+			enabled: isOpen && source !== QuickFiltersSource.METER_EXPLORER,
+			keepPreviousData: true,
+		},
+	);
+
+	const { data: keyValueSuggestions, isLoading: isLoadingKeyValueSuggestions } =
+		useGetQueryKeyValueSuggestions({
+			key: filter.attributeKey.key,
+			signal: filter.dataSource || DataSource.LOGS,
+			signalSource: 'meter',
+			options: {
+				enabled: isOpen && source === QuickFiltersSource.METER_EXPLORER,
+				keepPreviousData: true,
+			},
+		});
+
+	const attributeValues: string[] = useMemo(() => {
+		const dataType = filter.attributeKey.dataType || DataTypes.String;
+
+		if (source === QuickFiltersSource.METER_EXPLORER && keyValueSuggestions) {
+			// Process the response data
+			const responseData = keyValueSuggestions?.data as any;
+			const values = responseData.data?.values || {};
+			const stringValues = values.stringValues || [];
+			const numberValues = values.numberValues || [];
+
+			// Generate options from string values - explicitly handle empty strings
+			const stringOptions = stringValues
+				// Strict filtering for empty string - we'll handle it as a special case if needed
+				.filter(
+					(value: string | null | undefined): value is string =>
+						value !== null && value !== undefined && value !== '',
+				);
+
+			// Generate options from number values
+			const numberOptions = numberValues
+				.filter(
+					(value: number | null | undefined): value is number =>
+						value !== null && value !== undefined,
+				)
+				.map((value: number) => value.toString());
+
+			// Combine all options and make sure we don't have duplicate labels
+			return [...stringOptions, ...numberOptions];
+		}
+
+		const key = DATA_TYPE_VS_ATTRIBUTE_VALUES_KEY[dataType];
+		return (data?.payload?.[key] || []).filter(
+			(val) => val !== undefined && val !== null,
+		);
+	}, [data?.payload, filter.attributeKey.dataType, keyValueSuggestions, source]);
+
+	return {
+		attributeValues,
+		isLoading: isLoading || isLoadingKeyValueSuggestions,
+	};
+}
+
+export default useCheckboxFilterValues;

pkg/flagger/registry.go

@@ -3,15 +3,16 @@ package flagger
 import "github.com/SigNoz/signoz/pkg/types/featuretypes"
 
 var (
-	FeatureUseSpanMetrics      = featuretypes.MustNewName("use_span_metrics")
-	FeatureKafkaSpanEval       = featuretypes.MustNewName("kafka_span_eval")
-	FeatureHideRootUser        = featuretypes.MustNewName("hide_root_user")
-	FeatureGetMetersFromZeus   = featuretypes.MustNewName("get_meters_from_zeus")
-	FeaturePutMetersInZeus     = featuretypes.MustNewName("put_meters_in_zeus")
-	FeatureUseMeterReporter    = featuretypes.MustNewName("use_meter_reporter")
-	FeatureUseJSONBody         = featuretypes.MustNewName("use_json_body")
-	FeatureUseFineGrainedAuthz = featuretypes.MustNewName("use_fine_grained_authz")
-	FeatureUseDashboardV2      = featuretypes.MustNewName("use_dashboard_v2")
+	FeatureUseSpanMetrics         = featuretypes.MustNewName("use_span_metrics")
+	FeatureKafkaSpanEval          = featuretypes.MustNewName("kafka_span_eval")
+	FeatureHideRootUser           = featuretypes.MustNewName("hide_root_user")
+	FeatureGetMetersFromZeus      = featuretypes.MustNewName("get_meters_from_zeus")
+	FeaturePutMetersInZeus        = featuretypes.MustNewName("put_meters_in_zeus")
+	FeatureUseMeterReporter       = featuretypes.MustNewName("use_meter_reporter")
+	FeatureUseJSONBody            = featuretypes.MustNewName("use_json_body")
+	FeatureUseFineGrainedAuthz    = featuretypes.MustNewName("use_fine_grained_authz")
+	FeatureUseDashboardV2         = featuretypes.MustNewName("use_dashboard_v2")
+	FeatureEnableMetricsReduction = featuretypes.MustNewName("enable_metrics_reduction")
 )
 
 func MustNewRegistry() featuretypes.Registry {
@@ -88,6 +89,14 @@ func MustNewRegistry() featuretypes.Registry {
 			DefaultVariant: featuretypes.MustNewName("disabled"),
 			Variants:       featuretypes.NewBooleanVariants(),
 		},
+		&featuretypes.Feature{
+			Name:           FeatureEnableMetricsReduction,
+			Kind:           featuretypes.KindBoolean,
+			Stage:          featuretypes.StageExperimental,
+			Description:    "Controls whether metrics cardinality reduction (buffer/reduced tables) is read by the querier",
+			DefaultVariant: featuretypes.MustNewName("disabled"),
+			Variants:       featuretypes.NewBooleanVariants(),
+		},
 	)
 	if err != nil {
 		panic(err)

pkg/modules/inframonitoring/implinframonitoring/helpers.go

@@ -341,12 +341,12 @@ func alignedMetricWindow(startMs, endMs int64) (
 	}
 
 	tsAdjustedStartMs, _, distributedTSTable, localTSTable := telemetrymetrics.WhichTSTableToUse(
-		samplesAdjustedStartMs, flooredEndMs, nil,
+		samplesAdjustedStartMs, flooredEndMs, false, nil,
 	)
 
 	distributedSamplesTable, localSamplesTable := telemetrymetrics.WhichSamplesTableToUse(
 		samplesAdjustedStartMs, flooredEndMs,
-		metrictypes.UnspecifiedType, metrictypes.TimeAggregationUnspecified, nil,
+		metrictypes.UnspecifiedType, metrictypes.TimeAggregationUnspecified, false, nil,
 	)
 
 	return samplesAdjustedStartMs, flooredEndMs, tsAdjustedStartMs, distributedTSTable, localTSTable, distributedSamplesTable, localSamplesTable

pkg/modules/metricsexplorer/implmetricsexplorer/module.go

@@ -141,7 +141,7 @@ func (m *module) listMetrics(ctx context.Context, orgID valuer.UUID, params *met
 	sb.Select("DISTINCT metric_name")
 
 	if params.Start != nil && params.End != nil {
-		start, end, distributedTsTable, _ := telemetrymetrics.WhichTSTableToUse(uint64(*params.Start), uint64(*params.End), nil)
+		start, end, distributedTsTable, _ := telemetrymetrics.WhichTSTableToUse(uint64(*params.Start), uint64(*params.End), false, nil)
 		sb.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, distributedTsTable))
 		sb.Where(sb.Between("unix_milli", start, end))
 	} else {
@@ -527,7 +527,7 @@ func (m *module) InspectMetrics(
 		return nil, err
 	}
 
-	tsStart, _, tsTable, _ := telemetrymetrics.WhichTSTableToUse(start, end, nil)
+	tsStart, _, tsTable, _ := telemetrymetrics.WhichTSTableToUse(start, end, false, nil)
 	tsSb := sqlbuilder.NewSelectBuilder()
 	tsSb.Select("fingerprint", "labels")
 	tsSb.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, tsTable))
@@ -971,8 +971,8 @@ func (m *module) fetchMetricsStatsWithSamples(
 		}
 	}
 
-	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)
+	start, end, distributedTsTable, localTsTable := telemetrymetrics.WhichTSTableToUse(uint64(req.Start), uint64(req.End), false, nil)
+	distributedSamplesTable, _ := telemetrymetrics.WhichSamplesTableToUse(uint64(req.Start), uint64(req.End), metrictypes.UnspecifiedType, metrictypes.TimeAggregationUnspecified, false, nil)
 	countExp := telemetrymetrics.CountExpressionForSamplesTable(distributedSamplesTable)
 
 	// Timeseries counts per metric
@@ -1100,7 +1100,7 @@ func (m *module) computeTimeseriesTreemap(ctx context.Context, req *metricsexplo
 		}
 	}
 
-	start, end, distributedTsTable, _ := telemetrymetrics.WhichTSTableToUse(uint64(req.Start), uint64(req.End), nil)
+	start, end, distributedTsTable, _ := telemetrymetrics.WhichTSTableToUse(uint64(req.Start), uint64(req.End), false, nil)
 
 	totalTSBuilder := sqlbuilder.NewSelectBuilder()
 	totalTSBuilder.Select("uniq(fingerprint) AS total_time_series")
@@ -1176,8 +1176,8 @@ func (m *module) computeSamplesTreemap(ctx context.Context, req *metricsexplorer
 		}
 	}
 
-	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)
+	start, end, distributedTsTable, localTsTable := telemetrymetrics.WhichTSTableToUse(uint64(req.Start), uint64(req.End), false, nil)
+	distributedSamplesTable, _ := telemetrymetrics.WhichSamplesTableToUse(uint64(req.Start), uint64(req.End), metrictypes.UnspecifiedType, metrictypes.TimeAggregationUnspecified, false, nil)
 	countExp := telemetrymetrics.CountExpressionForSamplesTable(distributedSamplesTable)
 
 	candidateLimit := req.Limit + 50

pkg/querier/builder_query.go

@@ -91,13 +91,22 @@ func (q *builderQuery[T]) Fingerprint() string {
 				if a.ComparisonSpaceAggregationParam != nil {
 					spaceAggParamStr = a.ComparisonSpaceAggregationParam.StringValue()
 				}
-				aggParts = append(aggParts, fmt.Sprintf("%s:%s:%s:%s:%s",
+				part := fmt.Sprintf("%s:%s:%s:%s:%s",
 					a.MetricName,
 					a.Temporality.StringValue(),
 					a.TimeAggregation.StringValue(),
 					a.SpaceAggregation.StringValue(),
 					spaceAggParamStr,
-				))
+				)
+				if a.Reduced {
+					oneDay := uint64(24 * time.Hour.Milliseconds())
+					route := "reduced"
+					if q.toMS-q.fromMS < oneDay && q.fromMS >= uint64(time.Now().UnixMilli())-oneDay {
+						route = "buffer"
+					}
+					part += ":" + route
+				}
+				aggParts = append(aggParts, part)
 			}
 		}
 		parts = append(parts, fmt.Sprintf("aggs=[%s]", strings.Join(aggParts, ",")))

pkg/querier/querier.go

@@ -92,6 +92,11 @@ func (q *querier) QueryRange(ctx context.Context, orgID valuer.UUID, req *qbtype
 	req.Start = querybuilder.ToMilliSecs(req.Start)
 	req.End = querybuilder.ToMilliSecs(req.End)
 
+	tmplVars := req.Variables
+	if tmplVars == nil {
+		tmplVars = make(map[string]qbtypes.VariableItem)
+	}
+
 	event := &qbtypes.QBEvent{
 		Version:         "v5",
 		NumberOfQueries: len(req.CompositeQuery.Queries),
@@ -111,7 +116,10 @@ func (q *querier) QueryRange(ctx context.Context, orgID valuer.UUID, req *qbtype
 	// We need to set if it is unspecified or adjust it if value is not within recommended range
 	intervalWarnings := q.adjustStepInterval(req.CompositeQuery.Queries, req.Start, req.End)
 
-	missingMetricQueries, metricWarnings, err := q.resolveMetricMetadata(ctx, req.CompositeQuery.Queries, req.Start, req.End)
+	queries := make(map[string]qbtypes.Query)
+	steps := make(map[string]qbtypes.Step)
+
+	missingMetricQueries, metricWarnings, err := q.resolveMetricMetadata(ctx, orgID, req.CompositeQuery.Queries, req.Start, req.End)
 	if err != nil {
 		return nil, err
 	}
@@ -120,64 +128,6 @@ func (q *querier) QueryRange(ctx context.Context, orgID valuer.UUID, req *qbtype
 		missingMetricQuerySet[name] = true
 	}
 
-	queries, steps, err := q.buildQueries(req, dependencyQueries, missingMetricQuerySet, event)
-	if err != nil {
-		return nil, err
-	}
-
-	preseededResults := make(map[string]any)
-	for _, name := range missingMetricQueries {
-		switch req.RequestType {
-		case qbtypes.RequestTypeTimeSeries:
-			preseededResults[name] = &qbtypes.TimeSeriesData{QueryName: name}
-		case qbtypes.RequestTypeScalar:
-			preseededResults[name] = &qbtypes.ScalarData{QueryName: name}
-		case qbtypes.RequestTypeRaw:
-			preseededResults[name] = &qbtypes.RawData{QueryName: name}
-		}
-	}
-	qbResp, qbErr := q.run(ctx, orgID, queries, req, steps, event, preseededResults)
-	if qbResp != nil {
-		qbResp.QBEvent = event
-		if len(intervalWarnings) != 0 && req.RequestType == qbtypes.RequestTypeTimeSeries {
-			if qbResp.Warning == nil {
-				qbResp.Warning = &qbtypes.QueryWarnData{
-					Warnings: make([]qbtypes.QueryWarnDataAdditional, len(intervalWarnings)),
-				}
-				for idx := range intervalWarnings {
-					qbResp.Warning.Warnings[idx] = qbtypes.QueryWarnDataAdditional{Message: intervalWarnings[idx]}
-				}
-			}
-		}
-		if len(metricWarnings) > 0 {
-			if qbResp.Warning == nil {
-				qbResp.Warning = &qbtypes.QueryWarnData{}
-			}
-			for _, w := range metricWarnings {
-				qbResp.Warning.Warnings = append(qbResp.Warning.Warnings, qbtypes.QueryWarnDataAdditional{
-					Message: w,
-				})
-			}
-		}
-	}
-	return qbResp, qbErr
-}
-
-func (q *querier) buildQueries(
-	req *qbtypes.QueryRangeRequest,
-	dependencyQueries map[string]bool,
-	missingMetricQuerySet map[string]bool,
-	event *qbtypes.QBEvent,
-) (map[string]qbtypes.Query, map[string]qbtypes.Step, error) {
-
-	tmplVars := req.Variables
-	if tmplVars == nil {
-		tmplVars = make(map[string]qbtypes.VariableItem)
-	}
-
-	queries := make(map[string]qbtypes.Query)
-	steps := make(map[string]qbtypes.Step)
-
 	for _, query := range req.CompositeQuery.Queries {
 		queryName := query.GetQueryName()
 
@@ -190,7 +140,7 @@ func (q *querier) buildQueries(
 		case qbtypes.QueryTypePromQL:
 			promQuery, ok := query.Spec.(qbtypes.PromQuery)
 			if !ok {
-				return nil, nil, errors.NewInvalidInputf(errors.CodeInvalidInput, "invalid promql query spec %T", query.Spec)
+				return nil, errors.NewInvalidInputf(errors.CodeInvalidInput, "invalid promql query spec %T", query.Spec)
 			}
 			promqlQuery := newPromqlQuery(q.logger, q.promEngine, promQuery, qbtypes.TimeRange{From: req.Start, To: req.End}, req.RequestType, tmplVars)
 			queries[promQuery.Name] = promqlQuery
@@ -198,14 +148,14 @@ func (q *querier) buildQueries(
 		case qbtypes.QueryTypeClickHouseSQL:
 			chQuery, ok := query.Spec.(qbtypes.ClickHouseQuery)
 			if !ok {
-				return nil, nil, errors.NewInvalidInputf(errors.CodeInvalidInput, "invalid clickhouse query spec %T", query.Spec)
+				return nil, errors.NewInvalidInputf(errors.CodeInvalidInput, "invalid clickhouse query spec %T", query.Spec)
 			}
 			chSQLQuery := newchSQLQuery(q.logger, q.telemetryStore, chQuery, nil, qbtypes.TimeRange{From: req.Start, To: req.End}, req.RequestType, tmplVars)
 			queries[chQuery.Name] = chSQLQuery
 		case qbtypes.QueryTypeTraceOperator:
 			traceOpQuery, ok := query.Spec.(qbtypes.QueryBuilderTraceOperator)
 			if !ok {
-				return nil, nil, errors.NewInvalidInputf(errors.CodeInvalidInput, "invalid trace operator query spec %T", query.Spec)
+				return nil, errors.NewInvalidInputf(errors.CodeInvalidInput, "invalid trace operator query spec %T", query.Spec)
 			}
 			toq := &traceOperatorQuery{
 				telemetryStore: q.telemetryStore,
@@ -258,12 +208,46 @@ func (q *querier) buildQueries(
 				queries[spec.Name] = bq
 				steps[spec.Name] = spec.StepInterval
 			default:
-				return nil, nil, errors.NewInvalidInputf(errors.CodeInvalidInput, "unsupported builder spec type %T", query.Spec)
+				return nil, errors.NewInvalidInputf(errors.CodeInvalidInput, "unsupported builder spec type %T", query.Spec)
 			}
 		}
 	}
-
-	return queries, steps, nil
+	preseededResults := make(map[string]any)
+	for _, name := range missingMetricQueries {
+		switch req.RequestType {
+		case qbtypes.RequestTypeTimeSeries:
+			preseededResults[name] = &qbtypes.TimeSeriesData{QueryName: name}
+		case qbtypes.RequestTypeScalar:
+			preseededResults[name] = &qbtypes.ScalarData{QueryName: name}
+		case qbtypes.RequestTypeRaw:
+			preseededResults[name] = &qbtypes.RawData{QueryName: name}
+		}
+	}
+	qbResp, qbErr := q.run(ctx, orgID, queries, req, steps, event, preseededResults)
+	if qbResp != nil {
+		qbResp.QBEvent = event
+		if len(intervalWarnings) != 0 && req.RequestType == qbtypes.RequestTypeTimeSeries {
+			if qbResp.Warning == nil {
+				qbResp.Warning = &qbtypes.QueryWarnData{
+					Warnings: make([]qbtypes.QueryWarnDataAdditional, len(intervalWarnings)),
+				}
+				for idx := range intervalWarnings {
+					qbResp.Warning.Warnings[idx] = qbtypes.QueryWarnDataAdditional{Message: intervalWarnings[idx]}
+				}
+			}
+		}
+		if len(metricWarnings) > 0 {
+			if qbResp.Warning == nil {
+				qbResp.Warning = &qbtypes.QueryWarnData{}
+			}
+			for _, w := range metricWarnings {
+				qbResp.Warning.Warnings = append(qbResp.Warning.Warnings, qbtypes.QueryWarnDataAdditional{
+					Message: w,
+				})
+			}
+		}
+	}
+	return qbResp, qbErr
 }
 
 func (q *querier) populateQBEvent(event *qbtypes.QBEvent, queries []qbtypes.QueryEnvelope) {
@@ -320,7 +304,7 @@ func (q *querier) populateQBEvent(event *qbtypes.QBEvent, queries []qbtypes.Quer
 //     resolved: never-seen metrics and dormant metrics (seen but no data in
 //     the query window).
 //   - err: Internal when a metadata fetch fails.
-func (q *querier) resolveMetricMetadata(ctx context.Context, queries []qbtypes.QueryEnvelope, start, end uint64) (missingMetricQueries []string, metricWarnings []string, err error) {
+func (q *querier) resolveMetricMetadata(ctx context.Context, orgID valuer.UUID, queries []qbtypes.QueryEnvelope, start, end uint64) (missingMetricQueries []string, metricWarnings []string, err error) {
 	metricNames := make([]string, 0)
 	for idx := range queries {
 		if queries[idx].Type != qbtypes.QueryTypeBuilder {
@@ -341,7 +325,7 @@ func (q *querier) resolveMetricMetadata(ctx context.Context, queries []qbtypes.Q
 		return nil, nil, nil
 	}
 
-	metricTemporality, metricTypes, err := q.metadataStore.FetchTemporalityAndTypeMulti(ctx, start, end, metricNames...)
+	metricTemporality, metricTypes, reducedMetricsSet, err := q.metadataStore.FetchTemporalityAndTypeMulti(ctx, orgID, start, end, metricNames...)
 	if err != nil {
 		q.logger.WarnContext(ctx, "failed to fetch metric temporality", errors.Attr(err), slog.Any("metrics", metricNames))
 		return nil, nil, errors.NewInternalf(errors.CodeInternal, "failed to fetch metrics temporality")
@@ -378,6 +362,9 @@ func (q *querier) resolveMetricMetadata(ctx context.Context, queries []qbtypes.Q
 			if err := spec.Aggregations[i].ValidateForType(); err != nil {
 				return nil, nil, err
 			}
+			if reducedMetricsSet[spec.Aggregations[i].MetricName] {
+				spec.Aggregations[i].Reduced = true
+			}
 			presentAggregations = append(presentAggregations, spec.Aggregations[i])
 		}
 		if len(presentAggregations) == 0 {

pkg/telemetrymetadata/metadata.go

@@ -2136,12 +2136,12 @@ func (t *telemetryMetaStore) GetAllValues(ctx context.Context, fieldValueSelecto
 	return values, complete, nil
 }
 
-func (t *telemetryMetaStore) FetchTemporality(ctx context.Context, queryTimeRangeStartTs, queryTimeRangeEndTs uint64, metricName string) (metrictypes.Temporality, error) {
+func (t *telemetryMetaStore) FetchTemporality(ctx context.Context, orgID valuer.UUID, queryTimeRangeStartTs, queryTimeRangeEndTs uint64, metricName string) (metrictypes.Temporality, error) {
 	if metricName == "" {
 		return metrictypes.Unknown, errors.Newf(errors.TypeInternal, errors.CodeInternal, "metric name cannot be empty")
 	}
 
-	temporalityMap, err := t.FetchTemporalityMulti(ctx, queryTimeRangeStartTs, queryTimeRangeEndTs, metricName)
+	temporalityMap, err := t.FetchTemporalityMulti(ctx, orgID, queryTimeRangeStartTs, queryTimeRangeEndTs, metricName)
 	if err != nil {
 		return metrictypes.Unknown, err
 	}
@@ -2154,25 +2154,27 @@ func (t *telemetryMetaStore) FetchTemporality(ctx context.Context, queryTimeRang
 	return temporality, nil
 }
 
-func (t *telemetryMetaStore) FetchTemporalityMulti(ctx context.Context, queryTimeRangeStartTs, queryTimeRangeEndTs uint64, metricNames ...string) (map[string]metrictypes.Temporality, error) {
-	temporalities, _, err := t.FetchTemporalityAndTypeMulti(ctx, queryTimeRangeStartTs, queryTimeRangeEndTs, metricNames...)
+func (t *telemetryMetaStore) FetchTemporalityMulti(ctx context.Context, orgID valuer.UUID, queryTimeRangeStartTs, queryTimeRangeEndTs uint64, metricNames ...string) (map[string]metrictypes.Temporality, error) {
+	temporalities, _, _, err := t.FetchTemporalityAndTypeMulti(ctx, orgID, queryTimeRangeStartTs, queryTimeRangeEndTs, metricNames...)
 	return temporalities, err
 }
 
-func (t *telemetryMetaStore) FetchTemporalityAndTypeMulti(ctx context.Context, queryTimeRangeStartTs, queryTimeRangeEndTs uint64, metricNames ...string) (map[string]metrictypes.Temporality, map[string]metrictypes.Type, error) {
+func (t *telemetryMetaStore) FetchTemporalityAndTypeMulti(ctx context.Context, orgID valuer.UUID, queryTimeRangeStartTs, queryTimeRangeEndTs uint64, metricNames ...string) (map[string]metrictypes.Temporality, map[string]metrictypes.Type, map[string]bool, error) {
 	if len(metricNames) == 0 {
-		return make(map[string]metrictypes.Temporality), make(map[string]metrictypes.Type), nil
+		return make(map[string]metrictypes.Temporality), make(map[string]metrictypes.Type), make(map[string]bool), nil
 	}
 
+	reductionEnabled := t.fl.BooleanOrEmpty(ctx, flagger.FeatureEnableMetricsReduction, featuretypes.NewFlaggerEvaluationContext(orgID))
+
 	temporalities := make(map[string]metrictypes.Temporality)
 	types := make(map[string]metrictypes.Type)
-	metricsTemporality, metricTypes, err := t.fetchMetricsTemporalityAndType(ctx, queryTimeRangeStartTs, queryTimeRangeEndTs, metricNames...)
+	metricsTemporality, metricTypes, reduced, err := t.fetchMetricsTemporalityAndType(ctx, queryTimeRangeStartTs, queryTimeRangeEndTs, reductionEnabled, metricNames...)
 	if err != nil {
-		return nil, nil, err
+		return nil, nil, nil, err
 	}
 	meterMetricsTemporality, meterMetricsTypes, err := t.fetchMeterSourceMetricsTemporalityAndType(ctx, metricNames...)
 	if err != nil {
-		return nil, nil, err
+		return nil, nil, nil, err
 	}
 
 	// For metrics not found in the database, set to Unknown
@@ -2197,10 +2199,10 @@ func (t *telemetryMetaStore) FetchTemporalityAndTypeMulti(ctx context.Context, q
 		}
 	}
 
-	return temporalities, types, nil
+	return temporalities, types, reduced, nil
 }
 
-func (t *telemetryMetaStore) fetchMetricsTemporalityAndType(ctx context.Context, queryTimeRangeStartTs, queryTimeRangeEndTs uint64, metricNames ...string) (map[string][]metrictypes.Temporality, map[string]metrictypes.Type, error) {
+func (t *telemetryMetaStore) fetchMetricsTemporalityAndType(ctx context.Context, queryTimeRangeStartTs, queryTimeRangeEndTs uint64, reductionEnabled bool, metricNames ...string) (map[string][]metrictypes.Temporality, map[string]metrictypes.Type, map[string]bool, error) {
 	ctx = ctxtypes.NewContextWithCommentVals(ctx, map[string]string{
 		instrumentationtypes.TelemetrySignal:  telemetrytypes.SignalMetrics.StringValue(),
 		instrumentationtypes.CodeNamespace:    "metadata",
@@ -2208,48 +2210,58 @@ func (t *telemetryMetaStore) fetchMetricsTemporalityAndType(ctx context.Context,
 	})
 	temporalities := make(map[string][]metrictypes.Temporality)
 	types := make(map[string]metrictypes.Type)
+	reduced := make(map[string]bool)
 
-	adjustedStartTs, adjustedEndTs, tsTableName, _ := telemetrymetrics.WhichTSTableToUse(queryTimeRangeStartTs, queryTimeRangeEndTs, nil)
+	adjustedStartTs, adjustedEndTs, tsTableName, _ := telemetrymetrics.WhichTSTableToUse(queryTimeRangeStartTs, queryTimeRangeEndTs, false, nil)
 
-	// Build query to fetch temporality for all metrics
-	// We use attr_string_value where attr_name = '__temporality__'
-	// Note: The columns are mixed in the current data - temporality column contains metric_name
-	// and metric_name column contains temporality value, so we use the correct mapping
-	sb := sqlbuilder.Select(
-		"metric_name",
-		"temporality",
-		"any(type) AS type",
-		"any(is_monotonic) as is_monotonic",
-	).
-		From(t.metricsDBName + "." + tsTableName)
+	cols := []string{"metric_name", "temporality", "any(type) AS type", "any(is_monotonic) as is_monotonic"}
 
-	// Filter by metric names (in the temporality column due to data mix-up)
+	// When reduction is enabled, fold the reduced-catalog presence check into the
+	// same query so a metric's reduced status comes back in one round trip.
+	var reducedArgs []any
+	if reductionEnabled {
+		rs := sqlbuilder.NewSelectBuilder()
+		rs.Select("metric_name")
+		rs.From(t.metricsDBName + "." + telemetrymetrics.TimeseriesV4ReducedTableName)
+		rs.Where(rs.In("metric_name", metricNames), rs.GTE("unix_milli", adjustedStartTs), rs.LT("unix_milli", adjustedEndTs))
+		rs.GroupBy("metric_name")
+		rsQuery, rsArgs := rs.BuildWithFlavor(sqlbuilder.ClickHouse)
+		cols = append(cols, fmt.Sprintf("metric_name GLOBAL IN (%s) AS reduced", rsQuery))
+		reducedArgs = rsArgs
+	}
+
+	sb := sqlbuilder.NewSelectBuilder()
+	sb.Select(cols...)
+	sb.From(t.metricsDBName + "." + tsTableName)
 	sb.Where(
 		sb.In("metric_name", metricNames),
 		sb.GTE("unix_milli", adjustedStartTs),
 		sb.LT("unix_milli", adjustedEndTs),
 	)
-
 	sb.GroupBy("metric_name", "temporality")
 
-	query, args := sb.BuildWithFlavor(sqlbuilder.ClickHouse)
+	query, args := sb.BuildWithFlavor(sqlbuilder.ClickHouse, reducedArgs...)
 
 	t.logger.DebugContext(ctx, "fetching metric temporality", slog.String("query", query), slog.Any("args", args))
 
 	rows, err := t.telemetrystore.ClickhouseDB().Query(ctx, query, args...)
 	if err != nil {
-		return nil, nil, errors.Wrapf(err, errors.TypeInternal, errors.CodeInternal, "failed to fetch metric temporality")
+		return nil, nil, nil, errors.Wrapf(err, errors.TypeInternal, errors.CodeInternal, "failed to fetch metric temporality")
 	}
 	defer rows.Close()
 
-	// Process results
 	for rows.Next() {
 		var metricName string
 		var temporality metrictypes.Temporality
 		var metricType metrictypes.Type
 		var isMonotonic bool
-		if err := rows.Scan(&metricName, &temporality, &metricType, &isMonotonic); err != nil {
-			return nil, nil, errors.Wrapf(err, errors.TypeInternal, errors.CodeInternal, "failed to scan temporality result")
+		var isReduced uint8
+		dest := []any{&metricName, &temporality, &metricType, &isMonotonic}
+		if reductionEnabled {
+			dest = append(dest, &isReduced)
+		}
+		if err := rows.Scan(dest...); err != nil {
+			return nil, nil, nil, errors.Wrapf(err, errors.TypeInternal, errors.CodeInternal, "failed to scan temporality result")
 		}
 		if temporality != metrictypes.Unknown {
 			temporalities[metricName] = append(temporalities[metricName], temporality)
@@ -2258,12 +2270,15 @@ func (t *telemetryMetaStore) fetchMetricsTemporalityAndType(ctx context.Context,
 			metricType = metrictypes.GaugeType
 		}
 		types[metricName] = metricType
+		if isReduced != 0 {
+			reduced[metricName] = true
+		}
 	}
 	if err := rows.Err(); err != nil {
-		return nil, nil, errors.Wrapf(err, errors.TypeInternal, errors.CodeInternal, "error iterating over metrics temporality rows")
+		return nil, nil, nil, errors.Wrapf(err, errors.TypeInternal, errors.CodeInternal, "error iterating over metrics temporality rows")
 	}
 
-	return temporalities, types, nil
+	return temporalities, types, reduced, nil
 }
 
 func (t *telemetryMetaStore) fetchMeterSourceMetricsTemporalityAndType(ctx context.Context, metricNames ...string) (map[string]metrictypes.Temporality, map[string]metrictypes.Type, error) {

pkg/telemetrymetrics/reduced_test.go

@@ -0,0 +1,157 @@
+package telemetrymetrics
+
+import (
+	"context"
+	"testing"
+	"time"
+
+	"github.com/SigNoz/signoz/pkg/flagger"
+	"github.com/SigNoz/signoz/pkg/instrumentation/instrumentationtest"
+	"github.com/SigNoz/signoz/pkg/types/metrictypes"
+	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/stretchr/testify/require"
+)
+
+func reducedQuery(metric string, ty metrictypes.Type, temp metrictypes.Temporality, ta metrictypes.TimeAggregation, sa metrictypes.SpaceAggregation) qbtypes.QueryBuilderQuery[qbtypes.MetricAggregation] {
+	return qbtypes.QueryBuilderQuery[qbtypes.MetricAggregation]{
+		Signal:       telemetrytypes.SignalMetrics,
+		StepInterval: qbtypes.Step{Duration: 5 * time.Minute},
+		Aggregations: []qbtypes.MetricAggregation{{
+			MetricName:       metric,
+			Type:             ty,
+			Temporality:      temp,
+			TimeAggregation:  ta,
+			SpaceAggregation: sa,
+			Reduced:          true,
+		}},
+	}
+}
+
+func TestReducedStatementBuilder(t *testing.T) {
+	cases := []struct {
+		name     string
+		query    qbtypes.QueryBuilderQuery[qbtypes.MetricAggregation]
+		expected qbtypes.Statement
+	}{
+		{
+			name:  "gauge_sum_latest",
+			query: reducedQuery("test.metric", metrictypes.GaugeType, metrictypes.Unspecified, metrictypes.TimeAggregationLatest, metrictypes.SpaceAggregationSum),
+			expected: qbtypes.Statement{
+				Query: "SELECT * FROM (WITH __temporal_aggregation_cte AS (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(300)) AS ts, anyLast(last) AS per_series_value FROM signoz_metrics.distributed_samples_v4_agg_5m AS points INNER JOIN (SELECT fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND LOWER(temporality) LIKE LOWER(?) AND __normalized = ? GROUP BY fingerprint) AS filtered_time_series ON points.fingerprint = filtered_time_series.fingerprint WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? GROUP BY fingerprint, ts ORDER BY fingerprint, ts), __spatial_aggregation_cte AS (SELECT ts, sum(per_series_value) AS value FROM __temporal_aggregation_cte WHERE isNaN(per_series_value) = ? GROUP BY ts) SELECT * FROM __spatial_aggregation_cte ORDER BY ts) UNION ALL SELECT * FROM (WITH __temporal_aggregation_cte AS (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(300)) AS ts, argMax(value, unix_milli) AS per_series_value FROM (SELECT reduced_fingerprint AS fingerprint, unix_milli, argMax(`sum_last`, computed_at) AS value FROM signoz_metrics.distributed_samples_v4_reduced_last_60s WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? GROUP BY reduced_fingerprint, unix_milli) AS points INNER JOIN (SELECT fingerprint FROM signoz_metrics.distributed_time_series_v4_reduced WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND __normalized = ? GROUP BY fingerprint) AS filtered_time_series ON points.fingerprint = filtered_time_series.fingerprint GROUP BY fingerprint, ts), __spatial_aggregation_cte AS (SELECT ts, sum(per_series_value) AS value FROM __temporal_aggregation_cte GROUP BY ts) SELECT * FROM __spatial_aggregation_cte ORDER BY ts) ORDER BY ts",
+				Args:  []any{"test.metric", uint64(1746921600000), uint64(1747172760000), "unspecified", false, "test.metric", uint64(1746999900000), uint64(1747172760000), 0, "test.metric", uint64(1746999900000), uint64(1747172760000), "test.metric", uint64(1746999900000), uint64(1747172760000), false},
+			},
+		},
+		{
+			name:  "gauge_avg_avg",
+			query: reducedQuery("test.metric", metrictypes.GaugeType, metrictypes.Unspecified, metrictypes.TimeAggregationAvg, metrictypes.SpaceAggregationAvg),
+			expected: qbtypes.Statement{
+				Query: "SELECT * FROM (WITH __temporal_aggregation_cte AS (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(300)) AS ts, sum(sum) / sum(count) AS per_series_value FROM signoz_metrics.distributed_samples_v4_agg_5m AS points INNER JOIN (SELECT fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND LOWER(temporality) LIKE LOWER(?) AND __normalized = ? GROUP BY fingerprint) AS filtered_time_series ON points.fingerprint = filtered_time_series.fingerprint WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? GROUP BY fingerprint, ts ORDER BY fingerprint, ts), __spatial_aggregation_cte AS (SELECT ts, avg(per_series_value) AS value FROM __temporal_aggregation_cte WHERE isNaN(per_series_value) = ? GROUP BY ts) SELECT * FROM __spatial_aggregation_cte ORDER BY ts) UNION ALL SELECT * FROM (WITH __temporal_aggregation_cte AS (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(300)) AS ts, avg(value) AS per_series_value, avg(weight) AS per_series_weight FROM (SELECT reduced_fingerprint AS fingerprint, unix_milli, argMax(`sum_last`, computed_at) AS value, argMax(`count_series`, computed_at) AS weight FROM signoz_metrics.distributed_samples_v4_reduced_last_60s WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? GROUP BY reduced_fingerprint, unix_milli) AS points INNER JOIN (SELECT fingerprint FROM signoz_metrics.distributed_time_series_v4_reduced WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND __normalized = ? GROUP BY fingerprint) AS filtered_time_series ON points.fingerprint = filtered_time_series.fingerprint GROUP BY fingerprint, ts), __spatial_aggregation_cte AS (SELECT ts, sum(per_series_value) / sum(per_series_weight) AS value FROM __temporal_aggregation_cte GROUP BY ts) SELECT * FROM __spatial_aggregation_cte ORDER BY ts) ORDER BY ts",
+				Args:  []any{"test.metric", uint64(1746921600000), uint64(1747172760000), "unspecified", false, "test.metric", uint64(1746999900000), uint64(1747172760000), 0, "test.metric", uint64(1746999900000), uint64(1747172760000), "test.metric", uint64(1746999900000), uint64(1747172760000), false},
+			},
+		},
+		{
+			name:  "gauge_min_min",
+			query: reducedQuery("test.metric", metrictypes.GaugeType, metrictypes.Unspecified, metrictypes.TimeAggregationMin, metrictypes.SpaceAggregationMin),
+			expected: qbtypes.Statement{
+				Query: "SELECT * FROM (WITH __temporal_aggregation_cte AS (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(300)) AS ts, min(min) AS per_series_value FROM signoz_metrics.distributed_samples_v4_agg_5m AS points INNER JOIN (SELECT fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND LOWER(temporality) LIKE LOWER(?) AND __normalized = ? GROUP BY fingerprint) AS filtered_time_series ON points.fingerprint = filtered_time_series.fingerprint WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? GROUP BY fingerprint, ts ORDER BY fingerprint, ts), __spatial_aggregation_cte AS (SELECT ts, min(per_series_value) AS value FROM __temporal_aggregation_cte WHERE isNaN(per_series_value) = ? GROUP BY ts) SELECT * FROM __spatial_aggregation_cte ORDER BY ts) UNION ALL SELECT * FROM (WITH __temporal_aggregation_cte AS (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(300)) AS ts, min(value) AS per_series_value FROM (SELECT reduced_fingerprint AS fingerprint, unix_milli, argMax(`min`, computed_at) AS value FROM signoz_metrics.distributed_samples_v4_reduced_last_60s WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? GROUP BY reduced_fingerprint, unix_milli) AS points INNER JOIN (SELECT fingerprint FROM signoz_metrics.distributed_time_series_v4_reduced WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND __normalized = ? GROUP BY fingerprint) AS filtered_time_series ON points.fingerprint = filtered_time_series.fingerprint GROUP BY fingerprint, ts), __spatial_aggregation_cte AS (SELECT ts, min(per_series_value) AS value FROM __temporal_aggregation_cte GROUP BY ts) SELECT * FROM __spatial_aggregation_cte ORDER BY ts) ORDER BY ts",
+				Args:  []any{"test.metric", uint64(1746921600000), uint64(1747172760000), "unspecified", false, "test.metric", uint64(1746999900000), uint64(1747172760000), 0, "test.metric", uint64(1746999900000), uint64(1747172760000), "test.metric", uint64(1746999900000), uint64(1747172760000), false},
+			},
+		},
+		{
+			name:  "gauge_max_max",
+			query: reducedQuery("test.metric", metrictypes.GaugeType, metrictypes.Unspecified, metrictypes.TimeAggregationMax, metrictypes.SpaceAggregationMax),
+			expected: qbtypes.Statement{
+				Query: "SELECT * FROM (WITH __temporal_aggregation_cte AS (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(300)) AS ts, max(max) AS per_series_value FROM signoz_metrics.distributed_samples_v4_agg_5m AS points INNER JOIN (SELECT fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND LOWER(temporality) LIKE LOWER(?) AND __normalized = ? GROUP BY fingerprint) AS filtered_time_series ON points.fingerprint = filtered_time_series.fingerprint WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? GROUP BY fingerprint, ts ORDER BY fingerprint, ts), __spatial_aggregation_cte AS (SELECT ts, max(per_series_value) AS value FROM __temporal_aggregation_cte WHERE isNaN(per_series_value) = ? GROUP BY ts) SELECT * FROM __spatial_aggregation_cte ORDER BY ts) UNION ALL SELECT * FROM (WITH __temporal_aggregation_cte AS (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(300)) AS ts, max(value) AS per_series_value FROM (SELECT reduced_fingerprint AS fingerprint, unix_milli, argMax(`max`, computed_at) AS value FROM signoz_metrics.distributed_samples_v4_reduced_last_60s WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? GROUP BY reduced_fingerprint, unix_milli) AS points INNER JOIN (SELECT fingerprint FROM signoz_metrics.distributed_time_series_v4_reduced WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND __normalized = ? GROUP BY fingerprint) AS filtered_time_series ON points.fingerprint = filtered_time_series.fingerprint GROUP BY fingerprint, ts), __spatial_aggregation_cte AS (SELECT ts, max(per_series_value) AS value FROM __temporal_aggregation_cte GROUP BY ts) SELECT * FROM __spatial_aggregation_cte ORDER BY ts) ORDER BY ts",
+				Args:  []any{"test.metric", uint64(1746921600000), uint64(1747172760000), "unspecified", false, "test.metric", uint64(1746999900000), uint64(1747172760000), 0, "test.metric", uint64(1746999900000), uint64(1747172760000), "test.metric", uint64(1746999900000), uint64(1747172760000), false},
+			},
+		},
+		{
+			name:  "counter_sum_rate",
+			query: reducedQuery("test.metric", metrictypes.SumType, metrictypes.Cumulative, metrictypes.TimeAggregationRate, metrictypes.SpaceAggregationSum),
+			expected: qbtypes.Statement{
+				Query: "SELECT * FROM (WITH __temporal_aggregation_cte AS (SELECT ts, multiIf(row_number() OVER rate_window = 1, nan, (per_series_value - lagInFrame(per_series_value, 1) OVER rate_window) < 0, per_series_value / (ts - lagInFrame(ts, 1) OVER rate_window), (per_series_value - lagInFrame(per_series_value, 1) OVER rate_window) / (ts - lagInFrame(ts, 1) OVER rate_window)) AS per_series_value FROM (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(300)) AS ts, max(max) AS per_series_value FROM signoz_metrics.distributed_samples_v4_agg_5m AS points INNER JOIN (SELECT fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND LOWER(temporality) LIKE LOWER(?) AND __normalized = ? GROUP BY fingerprint) AS filtered_time_series ON points.fingerprint = filtered_time_series.fingerprint WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WINDOW rate_window AS (PARTITION BY fingerprint ORDER BY fingerprint, ts)), __spatial_aggregation_cte AS (SELECT ts, sum(per_series_value) AS value FROM __temporal_aggregation_cte WHERE isNaN(per_series_value) = ? GROUP BY ts) SELECT * FROM __spatial_aggregation_cte ORDER BY ts) UNION ALL SELECT * FROM (WITH __temporal_aggregation_cte AS (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(300)) AS ts, sum(value) / 300 AS per_series_value FROM (SELECT reduced_fingerprint AS fingerprint, unix_milli, argMax(`sum`, computed_at) AS value FROM signoz_metrics.distributed_samples_v4_reduced_sum_60s WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? GROUP BY reduced_fingerprint, unix_milli) AS points INNER JOIN (SELECT fingerprint FROM signoz_metrics.distributed_time_series_v4_reduced WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND __normalized = ? GROUP BY fingerprint) AS filtered_time_series ON points.fingerprint = filtered_time_series.fingerprint GROUP BY fingerprint, ts), __spatial_aggregation_cte AS (SELECT ts, sum(per_series_value) AS value FROM __temporal_aggregation_cte GROUP BY ts) SELECT * FROM __spatial_aggregation_cte ORDER BY ts) ORDER BY ts",
+				Args:  []any{"test.metric", uint64(1746921600000), uint64(1747172760000), "cumulative", false, "test.metric", uint64(1746999600000), uint64(1747172760000), 0, "test.metric", uint64(1746999600000), uint64(1747172760000), "test.metric", uint64(1746999600000), uint64(1747172760000), false},
+			},
+		},
+		{
+			name:  "counter_avg_increase",
+			query: reducedQuery("test.metric", metrictypes.SumType, metrictypes.Cumulative, metrictypes.TimeAggregationIncrease, metrictypes.SpaceAggregationAvg),
+			expected: qbtypes.Statement{
+				Query: "SELECT * FROM (WITH __temporal_aggregation_cte AS (SELECT ts, multiIf(row_number() OVER rate_window = 1, nan, (per_series_value - lagInFrame(per_series_value, 1) OVER rate_window) < 0, per_series_value, per_series_value - lagInFrame(per_series_value, 1) OVER rate_window) AS per_series_value FROM (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(300)) AS ts, max(max) AS per_series_value FROM signoz_metrics.distributed_samples_v4_agg_5m AS points INNER JOIN (SELECT fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND LOWER(temporality) LIKE LOWER(?) AND __normalized = ? GROUP BY fingerprint) AS filtered_time_series ON points.fingerprint = filtered_time_series.fingerprint WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WINDOW rate_window AS (PARTITION BY fingerprint ORDER BY fingerprint, ts)), __spatial_aggregation_cte AS (SELECT ts, avg(per_series_value) AS value FROM __temporal_aggregation_cte WHERE isNaN(per_series_value) = ? GROUP BY ts) SELECT * FROM __spatial_aggregation_cte ORDER BY ts) UNION ALL SELECT * FROM (WITH __temporal_aggregation_cte AS (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(300)) AS ts, sum(value) AS per_series_value, avg(weight) AS per_series_weight FROM (SELECT reduced_fingerprint AS fingerprint, unix_milli, argMax(`sum`, computed_at) AS value, argMax(`count_series`, computed_at) AS weight FROM signoz_metrics.distributed_samples_v4_reduced_sum_60s WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? GROUP BY reduced_fingerprint, unix_milli) AS points INNER JOIN (SELECT fingerprint FROM signoz_metrics.distributed_time_series_v4_reduced WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND __normalized = ? GROUP BY fingerprint) AS filtered_time_series ON points.fingerprint = filtered_time_series.fingerprint GROUP BY fingerprint, ts), __spatial_aggregation_cte AS (SELECT ts, sum(per_series_value) / sum(per_series_weight) AS value FROM __temporal_aggregation_cte GROUP BY ts) SELECT * FROM __spatial_aggregation_cte ORDER BY ts) ORDER BY ts",
+				Args:  []any{"test.metric", uint64(1746921600000), uint64(1747172760000), "cumulative", false, "test.metric", uint64(1746999600000), uint64(1747172760000), 0, "test.metric", uint64(1746999600000), uint64(1747172760000), "test.metric", uint64(1746999600000), uint64(1747172760000), false},
+			},
+		},
+		{
+			name:  "counter_min_omitted",
+			query: reducedQuery("test.metric", metrictypes.SumType, metrictypes.Cumulative, metrictypes.TimeAggregationRate, metrictypes.SpaceAggregationMin),
+			expected: qbtypes.Statement{
+				Query: "WITH __temporal_aggregation_cte AS (SELECT ts, multiIf(row_number() OVER rate_window = 1, nan, (per_series_value - lagInFrame(per_series_value, 1) OVER rate_window) < 0, per_series_value / (ts - lagInFrame(ts, 1) OVER rate_window), (per_series_value - lagInFrame(per_series_value, 1) OVER rate_window) / (ts - lagInFrame(ts, 1) OVER rate_window)) AS per_series_value FROM (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(300)) AS ts, max(max) AS per_series_value FROM signoz_metrics.distributed_samples_v4_agg_5m AS points INNER JOIN (SELECT fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND LOWER(temporality) LIKE LOWER(?) AND __normalized = ? GROUP BY fingerprint) AS filtered_time_series ON points.fingerprint = filtered_time_series.fingerprint WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WINDOW rate_window AS (PARTITION BY fingerprint ORDER BY fingerprint, ts)), __spatial_aggregation_cte AS (SELECT ts, min(per_series_value) AS value FROM __temporal_aggregation_cte WHERE isNaN(per_series_value) = ? GROUP BY ts) SELECT * FROM __spatial_aggregation_cte ORDER BY ts",
+				Args:  []any{"test.metric", uint64(1746921600000), uint64(1747172760000), "cumulative", false, "test.metric", uint64(1746999600000), uint64(1747172760000), 0},
+			},
+		},
+		{
+			name:  "counter_max_omitted",
+			query: reducedQuery("test.metric", metrictypes.SumType, metrictypes.Cumulative, metrictypes.TimeAggregationRate, metrictypes.SpaceAggregationMax),
+			expected: qbtypes.Statement{
+				Query: "WITH __temporal_aggregation_cte AS (SELECT ts, multiIf(row_number() OVER rate_window = 1, nan, (per_series_value - lagInFrame(per_series_value, 1) OVER rate_window) < 0, per_series_value / (ts - lagInFrame(ts, 1) OVER rate_window), (per_series_value - lagInFrame(per_series_value, 1) OVER rate_window) / (ts - lagInFrame(ts, 1) OVER rate_window)) AS per_series_value FROM (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(300)) AS ts, max(max) AS per_series_value FROM signoz_metrics.distributed_samples_v4_agg_5m AS points INNER JOIN (SELECT fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND LOWER(temporality) LIKE LOWER(?) AND __normalized = ? GROUP BY fingerprint) AS filtered_time_series ON points.fingerprint = filtered_time_series.fingerprint WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WINDOW rate_window AS (PARTITION BY fingerprint ORDER BY fingerprint, ts)), __spatial_aggregation_cte AS (SELECT ts, max(per_series_value) AS value FROM __temporal_aggregation_cte WHERE isNaN(per_series_value) = ? GROUP BY ts) SELECT * FROM __spatial_aggregation_cte ORDER BY ts",
+				Args:  []any{"test.metric", uint64(1746921600000), uint64(1747172760000), "cumulative", false, "test.metric", uint64(1746999600000), uint64(1747172760000), 0},
+			},
+		},
+		{
+			name:  "histogram_p99",
+			query: reducedQuery("test.metric", metrictypes.HistogramType, metrictypes.Cumulative, metrictypes.TimeAggregationUnspecified, metrictypes.SpaceAggregationPercentile99),
+			expected: qbtypes.Statement{
+				Query: "SELECT * FROM (WITH __temporal_aggregation_cte AS (SELECT ts, `le`, multiIf(row_number() OVER rate_window = 1, nan, (per_series_value - lagInFrame(per_series_value, 1) OVER rate_window) < 0, per_series_value / (ts - lagInFrame(ts, 1) OVER rate_window), (per_series_value - lagInFrame(per_series_value, 1) OVER rate_window) / (ts - lagInFrame(ts, 1) OVER rate_window)) AS per_series_value FROM (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(300)) AS ts, `le`, max(max) AS per_series_value FROM signoz_metrics.distributed_samples_v4_agg_5m AS points INNER JOIN (SELECT fingerprint, JSONExtractString(labels, 'le') AS `le` FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND LOWER(temporality) LIKE LOWER(?) AND __normalized = ? GROUP BY fingerprint, `le`) AS filtered_time_series ON points.fingerprint = filtered_time_series.fingerprint WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? GROUP BY fingerprint, ts, `le` ORDER BY fingerprint, ts) WINDOW rate_window AS (PARTITION BY fingerprint ORDER BY fingerprint, ts)), __spatial_aggregation_cte AS (SELECT ts, `le`, sum(per_series_value) AS value FROM __temporal_aggregation_cte WHERE isNaN(per_series_value) = ? GROUP BY ts, `le`) SELECT ts, histogramQuantile(arrayMap(x -> toFloat64(x), groupArray(le)), groupArray(value), 0.990) AS value FROM __spatial_aggregation_cte GROUP BY ts ORDER BY ts) UNION ALL SELECT * FROM (WITH __temporal_aggregation_cte AS (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(300)) AS ts, `le`, sum(value) / 300 AS per_series_value FROM (SELECT reduced_fingerprint AS fingerprint, unix_milli, argMax(`sum`, computed_at) AS value FROM signoz_metrics.distributed_samples_v4_reduced_sum_60s WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? GROUP BY reduced_fingerprint, unix_milli) AS points INNER JOIN (SELECT fingerprint, JSONExtractString(labels, 'le') AS `le` FROM signoz_metrics.distributed_time_series_v4_reduced WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND __normalized = ? GROUP BY fingerprint, `le`) AS filtered_time_series ON points.fingerprint = filtered_time_series.fingerprint GROUP BY fingerprint, ts, `le`), __spatial_aggregation_cte AS (SELECT ts, `le`, sum(per_series_value) AS value FROM __temporal_aggregation_cte GROUP BY ts, `le`) SELECT ts, histogramQuantile(arrayMap(x -> toFloat64(x), groupArray(le)), groupArray(value), 0.990) AS value FROM __spatial_aggregation_cte GROUP BY ts ORDER BY ts) ORDER BY ts",
+				Args:  []any{"test.metric", uint64(1746921600000), uint64(1747172760000), "cumulative", false, "test.metric", uint64(1746999900000), uint64(1747172760000), 0, "test.metric", uint64(1746999900000), uint64(1747172760000), "test.metric", uint64(1746999900000), uint64(1747172760000), false},
+			},
+		},
+		{
+			name:  "summary_avg",
+			query: reducedQuery("test.metric", metrictypes.SummaryType, metrictypes.Unspecified, metrictypes.TimeAggregationAvg, metrictypes.SpaceAggregationAvg),
+			expected: qbtypes.Statement{
+				Query: "SELECT * FROM (WITH __temporal_aggregation_cte AS (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(300)) AS ts, sum(sum) / sum(count) AS per_series_value FROM signoz_metrics.distributed_samples_v4_agg_5m AS points INNER JOIN (SELECT fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND LOWER(temporality) LIKE LOWER(?) AND __normalized = ? GROUP BY fingerprint) AS filtered_time_series ON points.fingerprint = filtered_time_series.fingerprint WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? GROUP BY fingerprint, ts ORDER BY fingerprint, ts), __spatial_aggregation_cte AS (SELECT ts, avg(per_series_value) AS value FROM __temporal_aggregation_cte WHERE isNaN(per_series_value) = ? GROUP BY ts) SELECT * FROM __spatial_aggregation_cte ORDER BY ts) UNION ALL SELECT * FROM (WITH __temporal_aggregation_cte AS (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(300)) AS ts, avg(value) AS per_series_value, avg(weight) AS per_series_weight FROM (SELECT reduced_fingerprint AS fingerprint, unix_milli, argMax(`sum_last`, computed_at) AS value, argMax(`count_series`, computed_at) AS weight FROM signoz_metrics.distributed_samples_v4_reduced_last_60s WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? GROUP BY reduced_fingerprint, unix_milli) AS points INNER JOIN (SELECT fingerprint FROM signoz_metrics.distributed_time_series_v4_reduced WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND __normalized = ? GROUP BY fingerprint) AS filtered_time_series ON points.fingerprint = filtered_time_series.fingerprint GROUP BY fingerprint, ts), __spatial_aggregation_cte AS (SELECT ts, sum(per_series_value) / sum(per_series_weight) AS value FROM __temporal_aggregation_cte GROUP BY ts) SELECT * FROM __spatial_aggregation_cte ORDER BY ts) ORDER BY ts",
+				Args:  []any{"test.metric", uint64(1746921600000), uint64(1747172760000), "unspecified", false, "test.metric", uint64(1746999900000), uint64(1747172760000), 0, "test.metric", uint64(1746999900000), uint64(1747172760000), "test.metric", uint64(1746999900000), uint64(1747172760000), false},
+			},
+		},
+	}
+
+	fm := NewFieldMapper()
+	cb := NewConditionBuilder(fm)
+	fl, err := flagger.New(context.Background(), instrumentationtest.New().ToProviderSettings(), flagger.Config{}, flagger.MustNewRegistry())
+	require.NoError(t, err)
+	sb := NewMetricQueryStatementBuilder(instrumentationtest.New().ToProviderSettings(), telemetrytypestest.NewMockMetadataStore(), fm, cb, fl)
+
+	const start, end = uint64(1747000000000), uint64(1747172800000)
+
+	for _, c := range cases {
+		t.Run(c.name, func(t *testing.T) {
+			got, err := sb.Build(context.Background(), start, end, qbtypes.RequestTypeTimeSeries, c.query, nil)
+			require.NoError(t, err)
+			require.Equal(t, c.expected.Query, got.Query)
+			require.Equal(t, c.expected.Args, got.Args)
+		})
+	}
+
+	t.Run("buffer_recent_window", func(t *testing.T) {
+		now := time.Now().UnixMilli()
+		q := reducedQuery("test.metric", metrictypes.GaugeType, metrictypes.Unspecified, metrictypes.TimeAggregationLatest, metrictypes.SpaceAggregationSum)
+		got, err := sb.Build(context.Background(), uint64(now-2*time.Hour.Milliseconds()), uint64(now), qbtypes.RequestTypeTimeSeries, q, nil)
+		require.NoError(t, err)
+		require.Contains(t, got.Query, "signoz_metrics.distributed_samples_v4_buffer")
+		require.Contains(t, got.Query, "signoz_metrics.time_series_v4_buffer")
+		require.Contains(t, got.Query, "is_reduced")
+		require.NotContains(t, got.Query, "UNION ALL")
+	})
+
+	t.Run("not_reduced", func(t *testing.T) {
+		q := reducedQuery("test.metric", metrictypes.GaugeType, metrictypes.Unspecified, metrictypes.TimeAggregationLatest, metrictypes.SpaceAggregationSum)
+		q.Aggregations[0].Reduced = false
+		got, err := sb.Build(context.Background(), start, end, qbtypes.RequestTypeTimeSeries, q, nil)
+		require.NoError(t, err)
+		require.NotContains(t, got.Query, "UNION ALL")
+		require.NotContains(t, got.Query, "reduced")
+		require.NotContains(t, got.Query, "buffer")
+	})
+}

pkg/telemetrymetrics/statement_builder.go

@@ -4,6 +4,7 @@ import (
 	"context"
 	"fmt"
 	"log/slog"
+	"time"
 
 	"github.com/SigNoz/signoz/pkg/factory"
 	"github.com/SigNoz/signoz/pkg/flagger"
@@ -180,19 +181,30 @@ func (b *MetricQueryStatementBuilder) buildPipelineStatement(
 		query.Aggregations[0].SpaceAggregation = metrictypes.SpaceAggregationSum
 	}
 
+	agg := query.Aggregations[0]
+
+	// A reduced metric reads the raw buffer for recent short windows, and
+	// samples_v4/agg (unioned with the reduced tables) otherwise. The buffer is
+	// shaped exactly like samples_v4 / time_series_v4, so once the table names are
+	// chosen the rest of the pipeline is unchanged.
+	useBuffer := agg.Reduced &&
+		end-start < oneDayInMilliseconds &&
+		start >= uint64(time.Now().UnixMilli())-oneDayInMilliseconds
+
+	samplesTable, _ := WhichSamplesTableToUse(start, end, agg.Type, agg.TimeAggregation, useBuffer, agg.TableHints)
+	tsStart, tsEnd, _, tsTable := WhichTSTableToUse(start, end, useBuffer, agg.TableHints)
+
 	var timeSeriesCTE string
 	var timeSeriesCTEArgs []any
 	var err error
 
-	// time_series_cte
-	// this is applicable for all the queries
-	if timeSeriesCTE, timeSeriesCTEArgs, err = b.buildTimeSeriesCTE(ctx, start, end, query, keys, variables); err != nil {
+	if timeSeriesCTE, timeSeriesCTEArgs, err = b.buildTimeSeriesCTE(ctx, tsStart, tsEnd, query, keys, variables, tsTable); err != nil {
 		return nil, err
 	}
 
 	if qbtypes.CanShortCircuitDelta(query.Aggregations[0]) {
 		// spatial_aggregation_cte directly for certain delta queries
-		if frag, args, err := b.buildTemporalAggDeltaFastPath(start, end, query, timeSeriesCTE, timeSeriesCTEArgs); err != nil {
+		if frag, args, err := b.buildTemporalAggDeltaFastPath(start, end, query, samplesTable, timeSeriesCTE, timeSeriesCTEArgs); err != nil {
 			return nil, err
 		} else if frag != "" {
 			cteFragments = append(cteFragments, frag)
@@ -200,7 +212,7 @@ func (b *MetricQueryStatementBuilder) buildPipelineStatement(
 		}
 	} else {
 		// temporal_aggregation_cte
-		if frag, args, err := b.buildTemporalAggregationCTE(ctx, start, end, query, keys, timeSeriesCTE, timeSeriesCTEArgs); err != nil {
+		if frag, args, err := b.buildTemporalAggregationCTE(ctx, start, end, query, keys, samplesTable, timeSeriesCTE, timeSeriesCTEArgs); err != nil {
 			return nil, err
 		} else if frag != "" {
 			cteFragments = append(cteFragments, frag)
@@ -214,18 +226,188 @@ func (b *MetricQueryStatementBuilder) buildPipelineStatement(
 		}
 	}
 
+	var reducedFragments []string
+	var reducedArgs [][]any
+	if agg.Reduced && !useBuffer {
+		var tsCTE string
+		var tsArgs []any
+		if tsCTE, tsArgs, err = b.buildReducedTimeSeriesCTE(ctx, start, end, query, keys, variables); err != nil {
+			return nil, err
+		}
+		if temporalFrag, temporalArgs, ok := b.buildReducedTemporalAggregationCTE(start, end, query, tsCTE, tsArgs); ok {
+			spatialFrag, spatialArgs := b.buildReducedSpatialAggregationCTE(query)
+			reducedFragments = []string{temporalFrag, spatialFrag}
+			reducedArgs = [][]any{temporalArgs, spatialArgs}
+		}
+	}
+
 	// reset the query to the original state
 	query.Aggregations[0].SpaceAggregation = origSpaceAgg
 	query.Aggregations[0].TimeAggregation = origTimeAgg
 	query.GroupBy = origGroupBy
 
-	// final SELECT
-	return b.BuildFinalSelect(cteFragments, cteArgs, query)
+	mainStmt, err := b.BuildFinalSelect(cteFragments, cteArgs, query)
+	if err != nil {
+		return nil, err
+	}
+	if reducedFragments == nil {
+		return mainStmt, nil
+	}
+	reducedStmt, err := b.BuildFinalSelect(reducedFragments, reducedArgs, query)
+	if err != nil {
+		return nil, err
+	}
+	return unionStatements(mainStmt, reducedStmt, query)
+}
+
+func unionStatements(main, reduced *qbtypes.Statement, query qbtypes.QueryBuilderQuery[qbtypes.MetricAggregation]) (*qbtypes.Statement, error) {
+	orderBy := "ts"
+	for _, g := range query.GroupBy {
+		orderBy = fmt.Sprintf("`%s`, ", g.Name) + orderBy
+	}
+	q := fmt.Sprintf("SELECT * FROM (%s) UNION ALL SELECT * FROM (%s) ORDER BY %s", main.Query, reduced.Query, orderBy)
+	args := append(append([]any{}, main.Args...), reduced.Args...)
+	warnings := append(append([]string{}, main.Warnings...), reduced.Warnings...)
+	return &qbtypes.Statement{Query: q, Args: args, Warnings: warnings}, nil
+}
+
+func (b *MetricQueryStatementBuilder) buildReducedTimeSeriesCTE(
+	ctx context.Context,
+	start, end uint64,
+	query qbtypes.QueryBuilderQuery[qbtypes.MetricAggregation],
+	keys map[string][]*telemetrytypes.TelemetryFieldKey,
+	variables map[string]qbtypes.VariableItem,
+) (string, []any, error) {
+	sb := sqlbuilder.NewSelectBuilder()
+
+	var preparedWhereClause querybuilder.PreparedWhereClause
+	var err error
+	if query.Filter != nil && query.Filter.Expression != "" {
+		preparedWhereClause, err = querybuilder.PrepareWhereClause(query.Filter.Expression, querybuilder.FilterExprVisitorOpts{
+			Context:          ctx,
+			Logger:           b.logger,
+			FieldMapper:      b.fm,
+			ConditionBuilder: b.cb,
+			FieldKeys:        keys,
+			FullTextColumn:   &telemetrytypes.TelemetryFieldKey{Name: "labels"},
+			Variables:        variables,
+			StartNs:          start,
+			EndNs:            end,
+		})
+		if err != nil {
+			return "", nil, err
+		}
+	}
+
+	sb.From(fmt.Sprintf("%s.%s", DBName, TimeseriesV4ReducedTableName))
+	sb.Select("fingerprint")
+	for _, g := range query.GroupBy {
+		col, err := b.fm.ColumnExpressionFor(ctx, start, end, &g.TelemetryFieldKey, keys)
+		if err != nil {
+			return "", nil, err
+		}
+		sb.SelectMore(col)
+	}
+	sb.Where(
+		sb.In("metric_name", query.Aggregations[0].MetricName),
+		sb.GTE("unix_milli", start),
+		sb.LTE("unix_milli", end),
+		sb.EQ("__normalized", false),
+	)
+
+	if !preparedWhereClause.IsEmpty() {
+		sb.AddWhereClause(preparedWhereClause.WhereClause)
+	}
+	sb.GroupBy("fingerprint")
+	sb.GroupBy(querybuilder.GroupByKeys(query.GroupBy)...)
+
+	q, args := sb.BuildWithFlavor(sqlbuilder.ClickHouse)
+	return fmt.Sprintf("(%s) AS filtered_time_series", q), args, nil
+}
+
+func (b *MetricQueryStatementBuilder) buildReducedTemporalAggregationCTE(
+	start, end uint64,
+	query qbtypes.QueryBuilderQuery[qbtypes.MetricAggregation],
+	timeSeriesCTE string,
+	timeSeriesCTEArgs []any,
+) (string, []any, bool) {
+	agg := query.Aggregations[0]
+	stepSec := int64(query.StepInterval.Seconds())
+
+	value, weight, ok := ReducedValueColumn(agg.Type, agg.SpaceAggregation)
+	if !ok {
+		return "", nil, false
+	}
+
+	// dedup recomputed buckets: latest computed_at wins per (series, 60s bucket)
+	dedup := sqlbuilder.NewSelectBuilder()
+	dedup.Select("reduced_fingerprint AS fingerprint", "unix_milli")
+	dedup.SelectMore(fmt.Sprintf("argMax(%s, computed_at) AS value", value))
+	if weight != "" {
+		dedup.SelectMore(fmt.Sprintf("argMax(%s, computed_at) AS weight", weight))
+	}
+	dedup.From(fmt.Sprintf("%s.%s", DBName, WhichReducedSamplesTableToUse(agg.Type)))
+	dedup.Where(
+		dedup.In("metric_name", agg.MetricName),
+		dedup.GTE("unix_milli", start),
+		dedup.LT("unix_milli", end),
+	)
+	dedup.GroupBy("reduced_fingerprint", "unix_milli")
+	dedupQuery, dedupArgs := dedup.BuildWithFlavor(sqlbuilder.ClickHouse)
+
+	sb := sqlbuilder.NewSelectBuilder()
+	sb.Select("fingerprint")
+	sb.SelectMore(fmt.Sprintf("toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(%d)) AS ts", stepSec))
+	for _, g := range query.GroupBy {
+		sb.SelectMore(fmt.Sprintf("`%s`", g.Name))
+	}
+	sb.SelectMore(fmt.Sprintf("%s AS per_series_value", ReducedTimeAggregationColumn(agg.TimeAggregation, stepSec)))
+	if weight != "" {
+		// count_series is a series count, not additive over time, so the avg
+		// denominator is reduced with avg
+		sb.SelectMore("avg(weight) AS per_series_weight")
+	}
+	sb.From(fmt.Sprintf("(%s) AS points", dedupQuery))
+	sb.JoinWithOption(sqlbuilder.InnerJoin, timeSeriesCTE, "points.fingerprint = filtered_time_series.fingerprint")
+	sb.GroupBy("fingerprint", "ts")
+	sb.GroupBy(querybuilder.GroupByKeys(query.GroupBy)...)
+
+	initArgs := append(append([]any{}, dedupArgs...), timeSeriesCTEArgs...)
+	q, args := sb.BuildWithFlavor(sqlbuilder.ClickHouse, initArgs...)
+	return fmt.Sprintf("__temporal_aggregation_cte AS (%s)", q), args, true
+}
+
+func (b *MetricQueryStatementBuilder) buildReducedSpatialAggregationCTE(
+	query qbtypes.QueryBuilderQuery[qbtypes.MetricAggregation],
+) (string, []any) {
+	spatial := "sum(per_series_value)"
+	switch query.Aggregations[0].SpaceAggregation {
+	case metrictypes.SpaceAggregationAvg:
+		spatial = "sum(per_series_value) / sum(per_series_weight)"
+	case metrictypes.SpaceAggregationMin:
+		spatial = "min(per_series_value)"
+	case metrictypes.SpaceAggregationMax:
+		spatial = "max(per_series_value)"
+	}
+
+	sb := sqlbuilder.NewSelectBuilder()
+	sb.Select("ts")
+	for _, g := range query.GroupBy {
+		sb.SelectMore(fmt.Sprintf("`%s`", g.Name))
+	}
+	sb.SelectMore(spatial + " AS value")
+	sb.From("__temporal_aggregation_cte")
+	sb.GroupBy("ts")
+	sb.GroupBy(querybuilder.GroupByKeys(query.GroupBy)...)
+
+	q, args := sb.BuildWithFlavor(sqlbuilder.ClickHouse)
+	return fmt.Sprintf("__spatial_aggregation_cte AS (%s)", q), args
 }
 
 func (b *MetricQueryStatementBuilder) buildTemporalAggDeltaFastPath(
 	start, end uint64,
 	query qbtypes.QueryBuilderQuery[qbtypes.MetricAggregation],
+	samplesTable string,
 	timeSeriesCTE string,
 	timeSeriesCTEArgs []any,
 ) (string, []any, error) {
@@ -242,8 +424,7 @@ func (b *MetricQueryStatementBuilder) buildTemporalAggDeltaFastPath(
 	}
 
 	aggCol, err := AggregationColumnForSamplesTable(
-		start, end, query.Aggregations[0].Type, query.Aggregations[0].Temporality,
-		query.Aggregations[0].TimeAggregation, query.Aggregations[0].TableHints,
+		samplesTable, query.Aggregations[0].Temporality, query.Aggregations[0].TimeAggregation,
 	)
 	if err != nil {
 		return "", nil, err
@@ -260,8 +441,7 @@ func (b *MetricQueryStatementBuilder) buildTemporalAggDeltaFastPath(
 
 	sb.SelectMore(fmt.Sprintf("%s AS value", aggCol))
 
-	tbl, _ := WhichSamplesTableToUse(start, end, query.Aggregations[0].Type, query.Aggregations[0].TimeAggregation, query.Aggregations[0].TableHints)
-	sb.From(fmt.Sprintf("%s.%s AS points", DBName, tbl))
+	sb.From(fmt.Sprintf("%s.%s AS points", DBName, samplesTable))
 	sb.JoinWithOption(sqlbuilder.InnerJoin, timeSeriesCTE, "points.fingerprint = filtered_time_series.fingerprint")
 	sb.Where(
 		sb.In("metric_name", query.Aggregations[0].MetricName),
@@ -281,6 +461,7 @@ func (b *MetricQueryStatementBuilder) buildTimeSeriesCTE(
 	query qbtypes.QueryBuilderQuery[qbtypes.MetricAggregation],
 	keys map[string][]*telemetrytypes.TelemetryFieldKey,
 	variables map[string]qbtypes.VariableItem,
+	tsTable string,
 ) (string, []any, error) {
 	sb := sqlbuilder.NewSelectBuilder()
 
@@ -304,8 +485,7 @@ func (b *MetricQueryStatementBuilder) buildTimeSeriesCTE(
 		}
 	}
 
-	start, end, _, tbl := WhichTSTableToUse(start, end, query.Aggregations[0].TableHints)
-	sb.From(fmt.Sprintf("%s.%s", DBName, tbl))
+	sb.From(fmt.Sprintf("%s.%s", DBName, tsTable))
 
 	sb.Select("fingerprint")
 	for _, g := range query.GroupBy {
@@ -331,6 +511,12 @@ func (b *MetricQueryStatementBuilder) buildTimeSeriesCTE(
 		sb.EQ("__normalized", false),
 	)
 
+	// the buffer holds both raw rows and the reduced catalog rows; the raw read
+	// only wants the original series
+	if tsTable == TimeseriesV4BufferLocalTableName {
+		sb.Where(sb.EQ("is_reduced", false))
+	}
+
 	if !preparedWhereClause.IsEmpty() {
 		sb.AddWhereClause(preparedWhereClause.WhereClause)
 	}
@@ -347,21 +533,23 @@ func (b *MetricQueryStatementBuilder) buildTemporalAggregationCTE(
 	start, end uint64,
 	query qbtypes.QueryBuilderQuery[qbtypes.MetricAggregation],
 	_ map[string][]*telemetrytypes.TelemetryFieldKey,
+	samplesTable string,
 	timeSeriesCTE string,
 	timeSeriesCTEArgs []any,
 ) (string, []any, error) {
 	if query.Aggregations[0].Temporality == metrictypes.Delta {
-		return b.buildTemporalAggDelta(ctx, start, end, query, timeSeriesCTE, timeSeriesCTEArgs)
+		return b.buildTemporalAggDelta(ctx, start, end, query, samplesTable, timeSeriesCTE, timeSeriesCTEArgs)
 	} else if query.Aggregations[0].Temporality != metrictypes.Multiple {
-		return b.buildTemporalAggCumulativeOrUnspecified(ctx, start, end, query, timeSeriesCTE, timeSeriesCTEArgs)
+		return b.buildTemporalAggCumulativeOrUnspecified(ctx, start, end, query, samplesTable, timeSeriesCTE, timeSeriesCTEArgs)
 	}
-	return b.buildTemporalAggForMultipleTemporalities(ctx, start, end, query, timeSeriesCTE, timeSeriesCTEArgs)
+	return b.buildTemporalAggForMultipleTemporalities(ctx, start, end, query, samplesTable, timeSeriesCTE, timeSeriesCTEArgs)
 }
 
 func (b *MetricQueryStatementBuilder) buildTemporalAggDelta(
 	_ context.Context,
 	start, end uint64,
 	query qbtypes.QueryBuilderQuery[qbtypes.MetricAggregation],
+	samplesTable string,
 	timeSeriesCTE string,
 	timeSeriesCTEArgs []any,
 ) (string, []any, error) {
@@ -378,7 +566,7 @@ func (b *MetricQueryStatementBuilder) buildTemporalAggDelta(
 		sb.SelectMore(fmt.Sprintf("`%s`", g.Name))
 	}
 
-	aggCol, err := AggregationColumnForSamplesTable(start, end, query.Aggregations[0].Type, query.Aggregations[0].Temporality, query.Aggregations[0].TimeAggregation, query.Aggregations[0].TableHints)
+	aggCol, err := AggregationColumnForSamplesTable(samplesTable, query.Aggregations[0].Temporality, query.Aggregations[0].TimeAggregation)
 	if err != nil {
 		return "", nil, err
 	}
@@ -389,8 +577,7 @@ func (b *MetricQueryStatementBuilder) buildTemporalAggDelta(
 
 	sb.SelectMore(fmt.Sprintf("%s AS per_series_value", aggCol))
 
-	tbl, _ := WhichSamplesTableToUse(start, end, query.Aggregations[0].Type, query.Aggregations[0].TimeAggregation, query.Aggregations[0].TableHints)
-	sb.From(fmt.Sprintf("%s.%s AS points", DBName, tbl))
+	sb.From(fmt.Sprintf("%s.%s AS points", DBName, samplesTable))
 	sb.JoinWithOption(sqlbuilder.InnerJoin, timeSeriesCTE, "points.fingerprint = filtered_time_series.fingerprint")
 	sb.Where(
 		sb.In("metric_name", query.Aggregations[0].MetricName),
@@ -409,6 +596,7 @@ func (b *MetricQueryStatementBuilder) buildTemporalAggCumulativeOrUnspecified(
 	_ context.Context,
 	start, end uint64,
 	query qbtypes.QueryBuilderQuery[qbtypes.MetricAggregation],
+	samplesTable string,
 	timeSeriesCTE string,
 	timeSeriesCTEArgs []any,
 ) (string, []any, error) {
@@ -424,14 +612,13 @@ func (b *MetricQueryStatementBuilder) buildTemporalAggCumulativeOrUnspecified(
 		baseSb.SelectMore(fmt.Sprintf("`%s`", g.Name))
 	}
 
-	aggCol, err := AggregationColumnForSamplesTable(start, end, query.Aggregations[0].Type, query.Aggregations[0].Temporality, query.Aggregations[0].TimeAggregation, query.Aggregations[0].TableHints)
+	aggCol, err := AggregationColumnForSamplesTable(samplesTable, query.Aggregations[0].Temporality, query.Aggregations[0].TimeAggregation)
 	if err != nil {
 		return "", nil, err
 	}
 	baseSb.SelectMore(fmt.Sprintf("%s AS per_series_value", aggCol))
 
-	tbl, _ := WhichSamplesTableToUse(start, end, query.Aggregations[0].Type, query.Aggregations[0].TimeAggregation, query.Aggregations[0].TableHints)
-	baseSb.From(fmt.Sprintf("%s.%s AS points", DBName, tbl))
+	baseSb.From(fmt.Sprintf("%s.%s AS points", DBName, samplesTable))
 	baseSb.JoinWithOption(sqlbuilder.InnerJoin, timeSeriesCTE, "points.fingerprint = filtered_time_series.fingerprint")
 	baseSb.Where(
 		baseSb.In("metric_name", query.Aggregations[0].MetricName),
@@ -475,6 +662,7 @@ func (b *MetricQueryStatementBuilder) buildTemporalAggForMultipleTemporalities(
 	_ context.Context,
 	start, end uint64,
 	query qbtypes.QueryBuilderQuery[qbtypes.MetricAggregation],
+	samplesTable string,
 	timeSeriesCTE string,
 	timeSeriesCTEArgs []any,
 ) (string, []any, error) {
@@ -489,11 +677,11 @@ func (b *MetricQueryStatementBuilder) buildTemporalAggForMultipleTemporalities(
 		sb.SelectMore(fmt.Sprintf("`%s`", g.Name))
 	}
 
-	aggForDeltaTemporality, err := AggregationColumnForSamplesTable(start, end, query.Aggregations[0].Type, metrictypes.Delta, query.Aggregations[0].TimeAggregation, query.Aggregations[0].TableHints)
+	aggForDeltaTemporality, err := AggregationColumnForSamplesTable(samplesTable, metrictypes.Delta, query.Aggregations[0].TimeAggregation)
 	if err != nil {
 		return "", nil, err
 	}
-	aggForCumulativeTemporality, err := AggregationColumnForSamplesTable(start, end, query.Aggregations[0].Type, metrictypes.Cumulative, query.Aggregations[0].TimeAggregation, query.Aggregations[0].TableHints)
+	aggForCumulativeTemporality, err := AggregationColumnForSamplesTable(samplesTable, metrictypes.Cumulative, query.Aggregations[0].TimeAggregation)
 	if err != nil {
 		return "", nil, err
 	}
@@ -521,8 +709,7 @@ func (b *MetricQueryStatementBuilder) buildTemporalAggForMultipleTemporalities(
 		sb.SelectMore(expr)
 	}
 
-	tbl, _ := WhichSamplesTableToUse(start, end, query.Aggregations[0].Type, query.Aggregations[0].TimeAggregation, query.Aggregations[0].TableHints)
-	sb.From(fmt.Sprintf("%s.%s AS points", DBName, tbl))
+	sb.From(fmt.Sprintf("%s.%s AS points", DBName, samplesTable))
 	sb.JoinWithOption(sqlbuilder.InnerJoin, timeSeriesCTE, "points.fingerprint = filtered_time_series.fingerprint")
 	sb.Where(
 		sb.In("metric_name", query.Aggregations[0].MetricName),

pkg/telemetrymetrics/tables.go

@@ -30,6 +30,17 @@ const (
 	TimeseriesV41weekLocalTableName  = "time_series_v4_1week"
 	AttributesMetadataTableName      = "distributed_metadata"
 	AttributesMetadataLocalTableName = "metadata"
+
+	// The buffer holds raw points for ~24h; the reduced tables hold 60s
+	// aggregates of dropped-label series.
+	SamplesV4BufferTableName          = "distributed_samples_v4_buffer"
+	SamplesV4BufferLocalTableName     = "samples_v4_buffer"
+	TimeseriesV4BufferTableName       = "distributed_time_series_v4_buffer"
+	TimeseriesV4BufferLocalTableName  = "time_series_v4_buffer"
+	SamplesV4ReducedLastTableName     = "distributed_samples_v4_reduced_last_60s"
+	SamplesV4ReducedSumTableName      = "distributed_samples_v4_reduced_sum_60s"
+	TimeseriesV4ReducedTableName      = "distributed_time_series_v4_reduced"
+	TimeseriesV4ReducedLocalTableName = "time_series_v4_reduced"
 )
 
 var (
@@ -49,8 +60,16 @@ var (
 // in that order.
 func WhichTSTableToUse(
 	start, end uint64,
+	useBuffer bool,
 	tableHints *metrictypes.MetricTableHints,
 ) (uint64, uint64, string, string) {
+	// the buffer holds the recent raw window for reduced metrics and has the same
+	// shape as time_series_v4; round the start to the hour like the v4 table.
+	if useBuffer {
+		start = start - (start % (oneHourInMilliseconds))
+		return start, end, TimeseriesV4BufferTableName, TimeseriesV4BufferLocalTableName
+	}
+
 	// if we have a hint for the table, we need to use it
 	// the hint will be used to override the default table selection logic
 	if tableHints != nil {
@@ -149,14 +168,20 @@ func WhichSamplesTableToUse(
 	start, end uint64,
 	metricType metrictypes.Type,
 	timeAggregation metrictypes.TimeAggregation,
+	useBuffer bool,
 	tableHints *metrictypes.MetricTableHints,
 ) (string, string) {
+	// the buffer holds the recent raw window for reduced metrics; same shape as samples_v4
+	if useBuffer {
+		return SamplesV4BufferTableName, SamplesV4BufferLocalTableName
+	}
+
 	// if we have a hint for the table, we need to use it
 	// the hint will be used to override the default table selection logic.
 	// SamplesTableName is the distributed name; derive the local via switch.
 	if tableHints != nil && tableHints.SamplesTableName != "" {
 		switch tableHints.SamplesTableName {
-		case SamplesV4TableName:
+		case SamplesV4TableName, SamplesV4BufferTableName:
 			return SamplesV4TableName, SamplesV4LocalTableName
 		case SamplesV4Agg5mTableName:
 			return SamplesV4Agg5mTableName, SamplesV4Agg5mLocalTableName
@@ -188,13 +213,10 @@ func WhichSamplesTableToUse(
 }
 
 func AggregationColumnForSamplesTable(
-	start, end uint64,
-	metricType metrictypes.Type,
+	tableName string,
 	temporality metrictypes.Temporality,
 	timeAggregation metrictypes.TimeAggregation,
-	tableHints *metrictypes.MetricTableHints,
 ) (string, error) {
-	tableName, _ := WhichSamplesTableToUse(start, end, metricType, timeAggregation, tableHints)
 	var aggregationColumn string
 	switch temporality {
 	case metrictypes.Delta:
@@ -202,7 +224,7 @@ func AggregationColumnForSamplesTable(
 		// although it doesn't make sense to use anyLast, avg, min, max, count on delta metrics,
 		// we are keeping it here to make sure that query will not be invalid
 		switch tableName {
-		case SamplesV4TableName:
+		case SamplesV4TableName, SamplesV4BufferTableName:
 			switch timeAggregation {
 			case metrictypes.TimeAggregationLatest:
 				aggregationColumn = "anyLast(value)"
@@ -244,7 +266,7 @@ func AggregationColumnForSamplesTable(
 		// for cumulative metrics, we only support `RATE`/`INCREASE`. The max value in window is
 		// used to calculate the sum which is then divided by the window size to get the rate
 		switch tableName {
-		case SamplesV4TableName:
+		case SamplesV4TableName, SamplesV4BufferTableName:
 			switch timeAggregation {
 			case metrictypes.TimeAggregationLatest:
 				aggregationColumn = "anyLast(value)"
@@ -284,7 +306,7 @@ func AggregationColumnForSamplesTable(
 		}
 	case metrictypes.Unspecified:
 		switch tableName {
-		case SamplesV4TableName:
+		case SamplesV4TableName, SamplesV4BufferTableName:
 			switch timeAggregation {
 			case metrictypes.TimeAggregationLatest:
 				aggregationColumn = "anyLast(value)"
@@ -332,6 +354,65 @@ func AggregationColumnForSamplesTable(
 	return aggregationColumn, nil
 }
 
+// WhichReducedSamplesTableToUse returns the 60s reduced samples table for a metric
+// type: the last_60s table for gauge-like series, the sum_60s table for counters
+// and histograms.
+func WhichReducedSamplesTableToUse(metricType metrictypes.Type) string {
+	if metricType == metrictypes.SumType || metricType == metrictypes.HistogramType {
+		return SamplesV4ReducedSumTableName
+	}
+	return SamplesV4ReducedLastTableName
+}
+
+// ReducedValueColumn returns the reduced value column (and the avg-denominator
+// weight) for a space aggregation. The reduced columns are pre-aggregated across
+// the original series, so the space aggregation picks the underlying value; the
+// sum table only has `sum`, so min/max across series have no column (ok=false).
+func ReducedValueColumn(metricType metrictypes.Type, space metrictypes.SpaceAggregation) (value, weight string, ok bool) {
+	if metricType == metrictypes.SumType || metricType == metrictypes.HistogramType {
+		switch space {
+		case metrictypes.SpaceAggregationSum:
+			return "`sum`", "", true
+		case metrictypes.SpaceAggregationAvg:
+			return "`sum`", "`count_series`", true
+		}
+		return "", "", false
+	}
+	switch space {
+	case metrictypes.SpaceAggregationSum:
+		return "`sum_last`", "", true
+	case metrictypes.SpaceAggregationAvg:
+		return "`sum_last`", "`count_series`", true
+	case metrictypes.SpaceAggregationMin:
+		return "`min`", "", true
+	case metrictypes.SpaceAggregationMax:
+		return "`max`", "", true
+	}
+	return "", "", false
+}
+
+// ReducedTimeAggregationColumn applies the time aggregation to the reduced `value`
+// column over the step's 60s buckets. latest uses argMax over the bucket timestamp
+// (the buckets have no read order); rate divides the per-step sum by the step.
+func ReducedTimeAggregationColumn(timeAggregation metrictypes.TimeAggregation, stepSec int64) string {
+	switch timeAggregation {
+	case metrictypes.TimeAggregationLatest:
+		return "argMax(value, unix_milli)"
+	case metrictypes.TimeAggregationAvg:
+		return "avg(value)"
+	case metrictypes.TimeAggregationMin:
+		return "min(value)"
+	case metrictypes.TimeAggregationMax:
+		return "max(value)"
+	case metrictypes.TimeAggregationCount:
+		return "count(value)"
+	case metrictypes.TimeAggregationRate:
+		return fmt.Sprintf("sum(value) / %d", stepSec)
+	default: // sum, increase
+		return "sum(value)"
+	}
+}
+
 func AggregationQueryForHistogramCountWithParams(param *metrictypes.ComparisonSpaceAggregationParam) (string, error) {
 	if param == nil {
 		return "", errors.NewInvalidInputf(errors.CodeInvalidInput, "no aggregation param provided for histogram count")

pkg/types/querybuildertypes/querybuildertypesv5/builder_elements.go

@@ -480,7 +480,9 @@ type MetricAggregation struct {
 	// value filter to apply to the query
 	ValueFilter *metrictypes.MetricValueFilter `json:"-"`
 	// reduce to operator for metric scalar requests
-	ReduceTo ReduceTo `json:"reduceTo,omitempty"`
+	ReduceTo ReduceTo `json:"reduceTo,omitzero"`
+
+	Reduced bool `json:"-"`
 }
 
 // Copy creates a deep copy of MetricAggregation.

pkg/types/telemetrytypes/store.go

@@ -4,6 +4,7 @@ import (
 	"context"
 
 	"github.com/SigNoz/signoz/pkg/types/metrictypes"
+	"github.com/SigNoz/signoz/pkg/valuer"
 )
 
 // MetadataStore is the interface for the telemetry metadata store.
@@ -26,12 +27,12 @@ type MetadataStore interface {
 	GetAllValues(ctx context.Context, fieldValueSelector *FieldValueSelector) (*TelemetryFieldValues, bool, error)
 
 	// FetchTemporality fetches the temporality for metric
-	FetchTemporality(ctx context.Context, queryTimeRangeStartTs, queryTimeRangeEndTs uint64, metricName string) (metrictypes.Temporality, error)
+	FetchTemporality(ctx context.Context, orgID valuer.UUID, queryTimeRangeStartTs, queryTimeRangeEndTs uint64, metricName string) (metrictypes.Temporality, error)
 
 	// FetchTemporalityMulti fetches the temporality for multiple metrics
-	FetchTemporalityMulti(ctx context.Context, queryTimeRangeStartTs, queryTimeRangeEndTs uint64, metricNames ...string) (map[string]metrictypes.Temporality, error)
+	FetchTemporalityMulti(ctx context.Context, orgID valuer.UUID, queryTimeRangeStartTs, queryTimeRangeEndTs uint64, metricNames ...string) (map[string]metrictypes.Temporality, error)
 
-	FetchTemporalityAndTypeMulti(ctx context.Context, queryTimeRangeStartTs, queryTimeRangeEndTs uint64, metricNames ...string) (map[string]metrictypes.Temporality, map[string]metrictypes.Type, error)
+	FetchTemporalityAndTypeMulti(ctx context.Context, orgID valuer.UUID, queryTimeRangeStartTs, queryTimeRangeEndTs uint64, metricNames ...string) (map[string]metrictypes.Temporality, map[string]metrictypes.Type, map[string]bool, error)
 
 	// ListLogsJSONIndexes lists the JSON indexes for the logs table.
 	ListLogsJSONIndexes(ctx context.Context, filters ...string) ([]TelemetryFieldKeySkipIndex, error)

pkg/types/telemetrytypes/telemetrytypestest/metadata_store.go

@@ -6,6 +6,7 @@ import (
 
 	"github.com/SigNoz/signoz/pkg/types/metrictypes"
 	"github.com/SigNoz/signoz/pkg/types/telemetrytypes"
+	"github.com/SigNoz/signoz/pkg/valuer"
 )
 
 // MockMetadataStore implements the MetadataStore interface for testing purposes.
@@ -16,6 +17,7 @@ type MockMetadataStore struct {
 	AllValuesMap               map[string]*telemetrytypes.TelemetryFieldValues
 	TemporalityMap             map[string]metrictypes.Temporality
 	TypeMap                    map[string]metrictypes.Type
+	ReducedMap                 map[string]bool
 	PromotedPathsMap           map[string]bool
 	LogsJSONIndexes            []telemetrytypes.TelemetryFieldKeySkipIndex
 	ColumnEvolutionMetadataMap map[string][]*telemetrytypes.EvolutionEntry
@@ -306,7 +308,7 @@ func (m *MockMetadataStore) SetAllValues(lookupKey string, values *telemetrytype
 }
 
 // FetchTemporality fetches the temporality for a metric.
-func (m *MockMetadataStore) FetchTemporality(ctx context.Context, queryTimeRangeStartTs, queryTimeRangeEndTs uint64, metricName string) (metrictypes.Temporality, error) {
+func (m *MockMetadataStore) FetchTemporality(ctx context.Context, orgID valuer.UUID, queryTimeRangeStartTs, queryTimeRangeEndTs uint64, metricName string) (metrictypes.Temporality, error) {
 	if temporality, exists := m.TemporalityMap[metricName]; exists {
 		return temporality, nil
 	}
@@ -314,7 +316,7 @@ func (m *MockMetadataStore) FetchTemporality(ctx context.Context, queryTimeRange
 }
 
 // FetchTemporalityMulti fetches the temporality for multiple metrics.
-func (m *MockMetadataStore) FetchTemporalityMulti(ctx context.Context, queryTimeRangeStartTs, queryTimeRangeEndTs uint64, metricNames ...string) (map[string]metrictypes.Temporality, error) {
+func (m *MockMetadataStore) FetchTemporalityMulti(ctx context.Context, orgID valuer.UUID, queryTimeRangeStartTs, queryTimeRangeEndTs uint64, metricNames ...string) (map[string]metrictypes.Temporality, error) {
 	result := make(map[string]metrictypes.Temporality)
 
 	for _, metricName := range metricNames {
@@ -329,9 +331,10 @@ func (m *MockMetadataStore) FetchTemporalityMulti(ctx context.Context, queryTime
 }
 
 // FetchTemporalityMulti fetches the temporality for multiple metrics.
-func (m *MockMetadataStore) FetchTemporalityAndTypeMulti(ctx context.Context, queryTimeRangeStartTs, queryTimeRangeEndTs uint64, metricNames ...string) (map[string]metrictypes.Temporality, map[string]metrictypes.Type, error) {
+func (m *MockMetadataStore) FetchTemporalityAndTypeMulti(ctx context.Context, orgID valuer.UUID, queryTimeRangeStartTs, queryTimeRangeEndTs uint64, metricNames ...string) (map[string]metrictypes.Temporality, map[string]metrictypes.Type, map[string]bool, error) {
 	temporalities := make(map[string]metrictypes.Temporality)
 	types := make(map[string]metrictypes.Type)
+	reduced := make(map[string]bool)
 
 	for _, metricName := range metricNames {
 		if temporality, exists := m.TemporalityMap[metricName]; exists {
@@ -344,9 +347,12 @@ func (m *MockMetadataStore) FetchTemporalityAndTypeMulti(ctx context.Context, qu
 		} else {
 			types[metricName] = metrictypes.UnspecifiedType
 		}
+		if m.ReducedMap[metricName] {
+			reduced[metricName] = true
+		}
 	}
 
-	return temporalities, types, nil
+	return temporalities, types, reduced, nil
 }
 
 // SetTemporality sets the temporality for a metric in the mock store.