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perf/ts-ch
| Author | SHA1 | Date | |
|---|---|---|---|
|
|
f050419cff | ||
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5ea514b94f |
@@ -3571,7 +3571,7 @@ components:
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- user
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- system
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- integration
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type: string
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type: object
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DashboardtypesSpanGaps:
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properties:
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fillLessThan:
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@@ -1,5 +1,14 @@
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import { MutableRefObject } from 'react';
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import { Chart, ChartConfiguration, ChartData, Color } from 'chart.js';
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import {
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ActiveElement,
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Chart,
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ChartConfiguration,
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ChartData,
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ChartEvent,
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ChartType,
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Color,
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TooltipItem,
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} from 'chart.js';
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import * as chartjsAdapter from 'chartjs-adapter-date-fns';
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import { Timezone } from 'components/CustomTimePicker/timezoneUtils';
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import { DATE_TIME_FORMATS } from 'constants/dateTimeFormats';
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@@ -60,184 +69,189 @@ export const getGraphOptions = (
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minTime?: number,
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maxTime?: number,
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// eslint-disable-next-line sonarjs/cognitive-complexity
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): CustomChartOptions => ({
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animation: {
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duration: animate ? 200 : 0,
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},
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responsive: true,
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maintainAspectRatio: false,
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interaction: {
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mode: 'index',
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intersect: true,
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},
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plugins: {
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...(staticLine
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? {
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annotation: {
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annotations: [
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{
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type: 'line',
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yMin: staticLine.yMin,
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yMax: staticLine.yMax,
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borderColor: staticLine.borderColor,
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borderWidth: staticLine.borderWidth,
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label: {
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content: staticLine.lineText,
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enabled: true,
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font: {
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size: 10,
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): CustomChartOptions =>
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({
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animation: {
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duration: animate ? 200 : 0,
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},
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responsive: true,
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maintainAspectRatio: false,
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interaction: {
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mode: 'index',
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intersect: true,
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},
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plugins: {
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...(staticLine
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? {
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annotation: {
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annotations: [
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{
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type: 'line',
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yMin: staticLine.yMin,
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yMax: staticLine.yMax,
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borderColor: staticLine.borderColor,
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borderWidth: staticLine.borderWidth,
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label: {
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content: staticLine.lineText,
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enabled: true,
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font: {
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size: 10,
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},
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borderWidth: 0,
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position: 'start',
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backgroundColor: 'transparent',
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color: staticLine.textColor,
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},
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borderWidth: 0,
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position: 'start',
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backgroundColor: 'transparent',
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color: staticLine.textColor,
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},
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},
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],
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],
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},
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}
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: {}),
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title: {
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display: title !== undefined,
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text: title,
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},
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legend: {
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display: false,
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},
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tooltip: {
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callbacks: {
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title(context: TooltipItem<'line'>[]): string | string[] {
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const date = dayjs(context[0].parsed.x);
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return date
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.tz(timezone.value)
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.format(DATE_TIME_FORMATS.MONTH_DATETIME_FULL_SECONDS);
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},
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label(context: TooltipItem<'line'>): string | string[] {
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let label = context.dataset.label || '';
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if (label) {
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label += ': ';
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}
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if (context.parsed.y !== null) {
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label += getToolTipValue(context.parsed.y.toString(), yAxisUnit);
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}
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return label;
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},
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labelTextColor(labelData: TooltipItem<'line'>): Color {
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if (labelData.datasetIndex === nearestDatasetIndex.current) {
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return 'rgba(255, 255, 255, 1)';
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}
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return 'rgba(255, 255, 255, 0.75)';
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},
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}
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: {}),
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title: {
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display: title !== undefined,
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text: title,
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},
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legend: {
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display: false,
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},
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tooltip: {
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callbacks: {
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title(context): string | string[] {
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const date = dayjs(context[0].parsed.x);
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return date
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.tz(timezone.value)
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.format(DATE_TIME_FORMATS.MONTH_DATETIME_FULL_SECONDS);
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},
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label(context): string | string[] {
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let label = context.dataset.label || '';
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if (label) {
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label += ': ';
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}
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if (context.parsed.y !== null) {
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label += getToolTipValue(context.parsed.y.toString(), yAxisUnit);
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}
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return label;
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},
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labelTextColor(labelData): Color {
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if (labelData.datasetIndex === nearestDatasetIndex.current) {
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return 'rgba(255, 255, 255, 1)';
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}
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return 'rgba(255, 255, 255, 0.75)';
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position: 'custom',
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itemSort(item1: TooltipItem<'line'>, item2: TooltipItem<'line'>): number {
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return item2.parsed.y - item1.parsed.y;
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},
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},
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position: 'custom',
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itemSort(item1, item2): number {
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return item2.parsed.y - item1.parsed.y;
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},
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[dragSelectPluginId]: createDragSelectPluginOptions(
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!!onDragSelect,
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onDragSelect,
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dragSelectColor,
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),
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[intersectionCursorPluginId]: createIntersectionCursorPluginOptions(
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!!onDragSelect,
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currentTheme === 'dark' ? 'white' : 'black',
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),
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},
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[dragSelectPluginId]: createDragSelectPluginOptions(
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!!onDragSelect,
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onDragSelect,
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dragSelectColor,
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),
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[intersectionCursorPluginId]: createIntersectionCursorPluginOptions(
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!!onDragSelect,
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currentTheme === 'dark' ? 'white' : 'black',
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),
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},
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layout: {
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padding: 0,
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},
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scales: {
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x: {
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stacked: isStacked,
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offset: false,
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grid: {
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layout: {
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padding: 0,
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},
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scales: {
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x: {
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stacked: isStacked,
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offset: false,
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grid: {
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display: true,
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color: getGridColor(),
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drawTicks: true,
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},
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adapters: {
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date: chartjsAdapter,
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},
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time: {
|
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unit: xAxisTimeUnit?.unitName || 'minute',
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stepSize: xAxisTimeUnit?.stepSize || 1,
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displayFormats: {
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millisecond: DATE_TIME_FORMATS.TIME_SECONDS,
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second: DATE_TIME_FORMATS.TIME_SECONDS,
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minute: DATE_TIME_FORMATS.TIME,
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hour: DATE_TIME_FORMATS.SLASH_SHORT,
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day: DATE_TIME_FORMATS.DATE_SHORT,
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week: DATE_TIME_FORMATS.DATE_SHORT,
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month: DATE_TIME_FORMATS.YEAR_MONTH,
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year: DATE_TIME_FORMATS.YEAR_SHORT,
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},
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},
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type: 'time',
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ticks: { color: getAxisLabelColor(currentTheme) },
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...(minTime && {
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min: dayjs(minTime).tz(timezone.value).format(),
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}),
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...(maxTime && {
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max: dayjs(maxTime).tz(timezone.value).format(),
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}),
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},
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y: {
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stacked: isStacked,
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display: true,
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color: getGridColor(),
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drawTicks: true,
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},
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adapters: {
|
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date: chartjsAdapter,
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},
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time: {
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unit: xAxisTimeUnit?.unitName || 'minute',
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stepSize: xAxisTimeUnit?.stepSize || 1,
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displayFormats: {
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millisecond: DATE_TIME_FORMATS.TIME_SECONDS,
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second: DATE_TIME_FORMATS.TIME_SECONDS,
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minute: DATE_TIME_FORMATS.TIME,
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hour: DATE_TIME_FORMATS.SLASH_SHORT,
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day: DATE_TIME_FORMATS.DATE_SHORT,
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week: DATE_TIME_FORMATS.DATE_SHORT,
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month: DATE_TIME_FORMATS.YEAR_MONTH,
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year: DATE_TIME_FORMATS.YEAR_SHORT,
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grid: {
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display: true,
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color: getGridColor(),
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},
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},
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type: 'time',
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ticks: { color: getAxisLabelColor(currentTheme) },
|
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...(minTime && {
|
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min: dayjs(minTime).tz(timezone.value).format(),
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}),
|
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...(maxTime && {
|
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max: dayjs(maxTime).tz(timezone.value).format(),
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}),
|
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},
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y: {
|
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stacked: isStacked,
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display: true,
|
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grid: {
|
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display: true,
|
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color: getGridColor(),
|
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},
|
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ticks: {
|
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color: getAxisLabelColor(currentTheme),
|
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// Include a dollar sign in the ticks
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callback(value): string {
|
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return getYAxisFormattedValue(value.toString(), yAxisUnit);
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ticks: {
|
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color: getAxisLabelColor(currentTheme),
|
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// Include a dollar sign in the ticks
|
||||
callback(value: number | string): string {
|
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return getYAxisFormattedValue(value.toString(), yAxisUnit);
|
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},
|
||||
},
|
||||
},
|
||||
},
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},
|
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elements: {
|
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line: {
|
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tension: 0,
|
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cubicInterpolationMode: 'monotone',
|
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},
|
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point: {
|
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hoverBackgroundColor: (ctx: any): string => {
|
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if (ctx?.element?.options?.borderColor) {
|
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return ctx.element.options.borderColor;
|
||||
}
|
||||
return 'rgba(0,0,0,0.1)';
|
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elements: {
|
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line: {
|
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tension: 0,
|
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cubicInterpolationMode: 'monotone',
|
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},
|
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hoverRadius: 5,
|
||||
},
|
||||
},
|
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onClick: (event, element, chart): void => {
|
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if (onClickHandler) {
|
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onClickHandler(event, element, chart, data);
|
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}
|
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},
|
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onHover: (event, _, chart): void => {
|
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if (event.native) {
|
||||
const interactions = chart.getElementsAtEventForMode(
|
||||
event.native,
|
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'nearest',
|
||||
{
|
||||
intersect: false,
|
||||
point: {
|
||||
hoverBackgroundColor: (ctx: any): string => {
|
||||
if (ctx?.element?.options?.borderColor) {
|
||||
return ctx.element.options.borderColor;
|
||||
}
|
||||
return 'rgba(0,0,0,0.1)';
|
||||
},
|
||||
true,
|
||||
);
|
||||
|
||||
if (interactions[0]) {
|
||||
nearestDatasetIndex.current = interactions[0].datasetIndex;
|
||||
hoverRadius: 5,
|
||||
},
|
||||
},
|
||||
onClick: (
|
||||
event: ChartEvent,
|
||||
element: ActiveElement[],
|
||||
chart: Chart,
|
||||
): void => {
|
||||
if (onClickHandler) {
|
||||
onClickHandler(event, element, chart, data);
|
||||
}
|
||||
}
|
||||
},
|
||||
});
|
||||
},
|
||||
onHover: (event: ChartEvent, _: ActiveElement[], chart: Chart): void => {
|
||||
if (event.native) {
|
||||
const interactions = chart.getElementsAtEventForMode(
|
||||
event.native,
|
||||
'nearest',
|
||||
{
|
||||
intersect: false,
|
||||
},
|
||||
true,
|
||||
);
|
||||
|
||||
if (interactions[0]) {
|
||||
nearestDatasetIndex.current = interactions[0].datasetIndex;
|
||||
}
|
||||
}
|
||||
},
|
||||
}) as CustomChartOptions;
|
||||
|
||||
declare module 'chart.js' {
|
||||
interface TooltipPositionerMap {
|
||||
|
||||
@@ -2,7 +2,7 @@ import { useMemo } from 'react';
|
||||
import { SolidAlertTriangle } from '@signozhq/icons';
|
||||
import { Select, Tooltip } from 'antd';
|
||||
import type { DefaultOptionType } from 'antd/es/select';
|
||||
import cx from 'classnames';
|
||||
import classNames from 'classnames';
|
||||
|
||||
import { UniversalYAxisUnitMappings } from './constants';
|
||||
import { UniversalYAxisUnit, YAxisUnitSelectorProps } from './types';
|
||||
@@ -72,7 +72,9 @@ function YAxisUnitSelector({
|
||||
}, [categoriesOverride, source]);
|
||||
|
||||
return (
|
||||
<div className={cx('y-axis-unit-selector-component', containerClassName)}>
|
||||
<div
|
||||
className={classNames('y-axis-unit-selector-component', containerClassName)}
|
||||
>
|
||||
<Select
|
||||
showSearch
|
||||
value={universalUnit}
|
||||
@@ -82,17 +84,12 @@ function YAxisUnitSelector({
|
||||
loading={loading}
|
||||
suffixIcon={
|
||||
incompatibleUnitMessage ? (
|
||||
<Tooltip
|
||||
title={incompatibleUnitMessage}
|
||||
overlayClassName="y-axis-unit-warning-tooltip"
|
||||
>
|
||||
<span className="y-axis-unit-warning" role="img" aria-label="warning">
|
||||
<SolidAlertTriangle size="md" />
|
||||
</span>
|
||||
<Tooltip title={incompatibleUnitMessage}>
|
||||
<SolidAlertTriangle role="img" aria-label="warning" size="md" />
|
||||
</Tooltip>
|
||||
) : undefined
|
||||
}
|
||||
className={cx({
|
||||
className={classNames({
|
||||
'warning-state': incompatibleUnitMessage,
|
||||
})}
|
||||
data-testid={dataTestId}
|
||||
|
||||
@@ -1,5 +1,4 @@
|
||||
import { render, screen } from '@testing-library/react';
|
||||
import userEvent from '@testing-library/user-event';
|
||||
import { fireEvent, render, screen } from '@testing-library/react';
|
||||
|
||||
import { YAxisCategoryNames } from '../constants';
|
||||
import { UniversalYAxisUnit, YAxisSource } from '../types';
|
||||
@@ -7,13 +6,9 @@ import YAxisUnitSelector from '../YAxisUnitSelector';
|
||||
|
||||
describe('YAxisUnitSelector', () => {
|
||||
const mockOnChange = jest.fn();
|
||||
// antd injects its `pointer-events` styles via cssinjs in jsdom, but the SCSS
|
||||
// overrides aren't loaded — skip the pointer-events check so hovers/clicks register.
|
||||
let user: ReturnType<typeof userEvent.setup>;
|
||||
|
||||
beforeEach(() => {
|
||||
mockOnChange.mockClear();
|
||||
user = userEvent.setup({ pointerEventsCheck: 0 });
|
||||
});
|
||||
|
||||
it('renders with default placeholder', () => {
|
||||
@@ -39,7 +34,7 @@ describe('YAxisUnitSelector', () => {
|
||||
expect(screen.queryByText('Custom placeholder')).toBeInTheDocument();
|
||||
});
|
||||
|
||||
it('calls onChange when a value is selected', async () => {
|
||||
it('calls onChange when a value is selected', () => {
|
||||
render(
|
||||
<YAxisUnitSelector
|
||||
value=""
|
||||
@@ -49,8 +44,9 @@ describe('YAxisUnitSelector', () => {
|
||||
);
|
||||
const select = screen.getByRole('combobox');
|
||||
|
||||
await user.click(select);
|
||||
await user.click(screen.getByText('Bytes (B)'));
|
||||
fireEvent.mouseDown(select);
|
||||
const option = screen.getByText('Bytes (B)');
|
||||
fireEvent.click(option);
|
||||
|
||||
expect(mockOnChange).toHaveBeenCalledWith('By', {
|
||||
children: 'Bytes (B)',
|
||||
@@ -59,7 +55,7 @@ describe('YAxisUnitSelector', () => {
|
||||
});
|
||||
});
|
||||
|
||||
it('filters options based on search input', async () => {
|
||||
it('filters options based on search input', () => {
|
||||
render(
|
||||
<YAxisUnitSelector
|
||||
value=""
|
||||
@@ -69,13 +65,14 @@ describe('YAxisUnitSelector', () => {
|
||||
);
|
||||
const select = screen.getByRole('combobox');
|
||||
|
||||
await user.click(select);
|
||||
await user.type(select, 'bytes/sec');
|
||||
fireEvent.mouseDown(select);
|
||||
const input = screen.getByRole('combobox');
|
||||
fireEvent.change(input, { target: { value: 'bytes/sec' } });
|
||||
|
||||
expect(screen.getByText('Bytes/sec')).toBeInTheDocument();
|
||||
});
|
||||
|
||||
it('shows all categories and their units', async () => {
|
||||
it('shows all categories and their units', () => {
|
||||
render(
|
||||
<YAxisUnitSelector
|
||||
value=""
|
||||
@@ -83,8 +80,9 @@ describe('YAxisUnitSelector', () => {
|
||||
source={YAxisSource.ALERTS}
|
||||
/>,
|
||||
);
|
||||
const select = screen.getByRole('combobox');
|
||||
|
||||
await user.click(screen.getByRole('combobox'));
|
||||
fireEvent.mouseDown(select);
|
||||
|
||||
// Check for category headers
|
||||
expect(screen.getByText('Data')).toBeInTheDocument();
|
||||
@@ -95,7 +93,7 @@ describe('YAxisUnitSelector', () => {
|
||||
expect(screen.getByText('Seconds (s)')).toBeInTheDocument();
|
||||
});
|
||||
|
||||
it('shows warning message when incompatible unit is selected', async () => {
|
||||
it('shows warning message when incompatible unit is selected', () => {
|
||||
render(
|
||||
<YAxisUnitSelector
|
||||
source={YAxisSource.ALERTS}
|
||||
@@ -106,12 +104,12 @@ describe('YAxisUnitSelector', () => {
|
||||
);
|
||||
const warningIcon = screen.getByLabelText('warning');
|
||||
expect(warningIcon).toBeInTheDocument();
|
||||
await user.hover(warningIcon);
|
||||
await expect(
|
||||
screen.findByText(
|
||||
fireEvent.mouseOver(warningIcon);
|
||||
return screen
|
||||
.findByText(
|
||||
'Unit mismatch. The metric was sent with unit Seconds (s), but Bytes (B) is selected.',
|
||||
),
|
||||
).resolves.toBeInTheDocument();
|
||||
)
|
||||
.then((el) => expect(el).toBeInTheDocument());
|
||||
});
|
||||
|
||||
it('does not show warning message when compatible unit is selected', () => {
|
||||
@@ -127,7 +125,7 @@ describe('YAxisUnitSelector', () => {
|
||||
expect(warningIcon).not.toBeInTheDocument();
|
||||
});
|
||||
|
||||
it('uses categories override to render custom units', async () => {
|
||||
it('uses categories override to render custom units', () => {
|
||||
const customCategories = [
|
||||
{
|
||||
name: YAxisCategoryNames.Data,
|
||||
@@ -149,7 +147,9 @@ describe('YAxisUnitSelector', () => {
|
||||
/>,
|
||||
);
|
||||
|
||||
await user.click(screen.getByRole('combobox'));
|
||||
const select = screen.getByRole('combobox');
|
||||
|
||||
fireEvent.mouseDown(select);
|
||||
|
||||
expect(screen.getByText('Custom Bytes (B)')).toBeInTheDocument();
|
||||
expect(screen.queryByText('Bytes (B)')).not.toBeInTheDocument();
|
||||
|
||||
@@ -4,13 +4,6 @@
|
||||
}
|
||||
}
|
||||
|
||||
// Re-enable hover on the warning icon: its `.ant-select-arrow` parent sets
|
||||
// `pointer-events: none`, which would otherwise suppress the tooltip.
|
||||
.y-axis-unit-warning {
|
||||
display: inline-flex;
|
||||
pointer-events: auto;
|
||||
}
|
||||
|
||||
.warning-state {
|
||||
.ant-select-selector {
|
||||
border-color: var(--bg-amber-400) !important;
|
||||
@@ -24,7 +17,3 @@
|
||||
right: 28px;
|
||||
}
|
||||
}
|
||||
|
||||
.y-axis-unit-warning-tooltip {
|
||||
max-width: 240px;
|
||||
}
|
||||
|
||||
@@ -40,8 +40,6 @@ interface ConfigPaneProps {
|
||||
*/
|
||||
panel: DashboardtypesPanelDTO;
|
||||
panelId: string;
|
||||
/** Unit the selected metric was sent with; drives the unit selector's mismatch warning. */
|
||||
metricUnit?: string;
|
||||
}
|
||||
|
||||
/**
|
||||
@@ -60,7 +58,6 @@ function ConfigPane({
|
||||
stepInterval,
|
||||
panel,
|
||||
panelId,
|
||||
metricUnit,
|
||||
}: ConfigPaneProps): JSX.Element {
|
||||
const panelKind = spec.plugin.kind;
|
||||
const definition = getPanelDefinition(panelKind);
|
||||
@@ -121,7 +118,6 @@ function ConfigPane({
|
||||
onChangePanelKind={onChangePanelKind}
|
||||
queryType={queryType}
|
||||
stepInterval={stepInterval}
|
||||
metricUnit={metricUnit}
|
||||
/>
|
||||
))}
|
||||
</div>
|
||||
|
||||
@@ -34,7 +34,6 @@ function SectionSlot({
|
||||
onChangePanelKind,
|
||||
queryType,
|
||||
stepInterval,
|
||||
metricUnit,
|
||||
}: SectionSlotProps): JSX.Element | null {
|
||||
// A kind can hide a section based on current spec state (e.g. Histogram legend once
|
||||
// queries are merged) — skip it before resolving the editor.
|
||||
@@ -75,7 +74,6 @@ function SectionSlot({
|
||||
onChangePanelKind={onChangePanelKind}
|
||||
queryType={queryType}
|
||||
stepInterval={stepInterval}
|
||||
metricUnit={metricUnit}
|
||||
/>
|
||||
</SettingsSection>
|
||||
);
|
||||
|
||||
@@ -19,6 +19,4 @@ export interface SectionEditorContext {
|
||||
yAxisUnit?: string;
|
||||
queryType?: EQueryType;
|
||||
stepInterval?: number;
|
||||
/** Unit the selected metric was sent with; drives the unit selector's mismatch warning. */
|
||||
metricUnit?: string;
|
||||
}
|
||||
|
||||
@@ -46,10 +46,11 @@ function DisconnectValuesField({
|
||||
onChange,
|
||||
}: DisconnectValuesFieldProps): JSX.Element {
|
||||
const duration = value?.fillLessThan || undefined;
|
||||
// `fillOnlyBelow` is authoritative; fall back to a stored duration for legacy panels.
|
||||
const isThreshold = value?.fillOnlyBelow ?? !!duration;
|
||||
// Remember the last committed threshold so Never → Threshold restores it.
|
||||
const [lastDuration, setLastDuration] = useState<string | undefined>(duration);
|
||||
const isThreshold = !!duration;
|
||||
// Remember the last threshold so toggling Never → Threshold restores it.
|
||||
const [lastDuration, setLastDuration] = useState(
|
||||
duration ?? defaultDuration(stepInterval),
|
||||
);
|
||||
|
||||
useEffect(() => {
|
||||
if (duration) {
|
||||
@@ -58,17 +59,11 @@ function DisconnectValuesField({
|
||||
}, [duration]);
|
||||
|
||||
const handleMode = (mode: DisconnectValuesMode): void => {
|
||||
if (mode === DisconnectValuesMode.THRESHOLD) {
|
||||
onChange({
|
||||
...value,
|
||||
fillOnlyBelow: true,
|
||||
// Seed from the live stepInterval (async — undefined until results load), not mount.
|
||||
fillLessThan: lastDuration ?? defaultDuration(stepInterval),
|
||||
});
|
||||
return;
|
||||
}
|
||||
// Never spans every gap; drop the duration so the renderer reads a clean "span all".
|
||||
onChange({ ...value, fillOnlyBelow: false, fillLessThan: undefined });
|
||||
onChange(
|
||||
mode === DisconnectValuesMode.THRESHOLD
|
||||
? { ...value, fillLessThan: lastDuration }
|
||||
: undefined,
|
||||
);
|
||||
};
|
||||
|
||||
return (
|
||||
@@ -84,16 +79,14 @@ function DisconnectValuesField({
|
||||
onChange={handleMode}
|
||||
/>
|
||||
</div>
|
||||
{isThreshold && duration && (
|
||||
{isThreshold && (
|
||||
<div className={styles.field}>
|
||||
<Typography.Text>Threshold value</Typography.Text>
|
||||
<DisconnectValuesThresholdInput
|
||||
testId={`${testId}-value`}
|
||||
value={duration}
|
||||
value={lastDuration}
|
||||
minValue={stepInterval}
|
||||
onChange={(next): void =>
|
||||
onChange({ ...value, fillOnlyBelow: true, fillLessThan: next })
|
||||
}
|
||||
onChange={(next): void => onChange({ ...value, fillLessThan: next })}
|
||||
/>
|
||||
</div>
|
||||
)}
|
||||
|
||||
@@ -14,28 +14,6 @@ interface DisconnectValuesThresholdInputProps {
|
||||
onChange: (duration: string) => void;
|
||||
}
|
||||
|
||||
/**
|
||||
* Inline error for a raw duration, or `null` when valid and in range. The parse is
|
||||
* guarded: `isValidTimeSpan` passes some strings `intervalToSeconds` throws on (e.g. "5x").
|
||||
*/
|
||||
function validationError(raw: string, minValue?: number): string | null {
|
||||
let seconds: number;
|
||||
try {
|
||||
seconds = rangeUtil.isValidTimeSpan(raw)
|
||||
? rangeUtil.intervalToSeconds(raw)
|
||||
: NaN;
|
||||
} catch {
|
||||
seconds = NaN;
|
||||
}
|
||||
if (!Number.isFinite(seconds) || seconds <= 0) {
|
||||
return 'Enter a valid duration (e.g. 30s, 1m, 1h)';
|
||||
}
|
||||
if (minValue !== undefined && seconds < minValue) {
|
||||
return `Threshold should be > ${rangeUtil.secondsToHms(minValue)}`;
|
||||
}
|
||||
return null;
|
||||
}
|
||||
|
||||
/**
|
||||
* Duration input for the span-gaps threshold: shows/accepts and reports a human
|
||||
* duration ("30s", "1m", "1h"), which is the value stored verbatim in
|
||||
@@ -58,21 +36,24 @@ function DisconnectValuesThresholdInput({
|
||||
setError(null);
|
||||
}, [value]);
|
||||
|
||||
// Validate live so an invalid entry surfaces immediately, not only on blur.
|
||||
const handleText = (raw: string): void => {
|
||||
setText(raw);
|
||||
setError(raw ? validationError(raw, minValue) : null);
|
||||
};
|
||||
|
||||
const commit = (raw: string): void => {
|
||||
// Skip no-op commits: blur fires when clicking the Never toggle, and re-emitting
|
||||
// the unchanged value there would race the toggle and snap back to Threshold.
|
||||
if (!raw || raw === value) {
|
||||
if (!raw) {
|
||||
return;
|
||||
}
|
||||
const message = validationError(raw, minValue);
|
||||
if (message) {
|
||||
setError(message);
|
||||
let seconds: number;
|
||||
try {
|
||||
seconds = rangeUtil.isValidTimeSpan(raw)
|
||||
? rangeUtil.intervalToSeconds(raw)
|
||||
: NaN;
|
||||
} catch {
|
||||
seconds = NaN;
|
||||
}
|
||||
if (!Number.isFinite(seconds) || seconds <= 0) {
|
||||
setError('Enter a valid duration (e.g. 30s, 1m, 1h)');
|
||||
return;
|
||||
}
|
||||
if (minValue !== undefined && seconds < minValue) {
|
||||
setError(`Threshold should be > ${rangeUtil.secondsToHms(minValue)}`);
|
||||
return;
|
||||
}
|
||||
setError(null);
|
||||
@@ -88,9 +69,12 @@ function DisconnectValuesThresholdInput({
|
||||
status={error ? 'error' : undefined}
|
||||
prefix={<span className={styles.thresholdPrefix}>></span>}
|
||||
value={text}
|
||||
onChange={(e: ChangeEvent<HTMLInputElement>): void =>
|
||||
handleText(e.target.value)
|
||||
}
|
||||
onChange={(e: ChangeEvent<HTMLInputElement>): void => {
|
||||
setText(e.target.value);
|
||||
if (error) {
|
||||
setError(null);
|
||||
}
|
||||
}}
|
||||
onBlur={(e): void => commit(e.currentTarget.value)}
|
||||
onKeyDown={(e): void => {
|
||||
if (e.key === 'Enter') {
|
||||
|
||||
@@ -1,34 +1,9 @@
|
||||
import { useState } from 'react';
|
||||
import { render, screen } from '@testing-library/react';
|
||||
import userEvent from '@testing-library/user-event';
|
||||
import {
|
||||
DashboardtypesLineStyleDTO,
|
||||
type DashboardtypesTimeSeriesChartAppearanceDTO,
|
||||
} from 'api/generated/services/sigNoz.schemas';
|
||||
import { DashboardtypesLineStyleDTO } from 'api/generated/services/sigNoz.schemas';
|
||||
|
||||
import ChartAppearanceSection from '../ChartAppearanceSection';
|
||||
|
||||
/** Stateful wrapper that feeds onChange back as the spec, mirroring the real editor. */
|
||||
function StatefulSpanGaps({
|
||||
initial,
|
||||
stepInterval,
|
||||
}: {
|
||||
initial?: DashboardtypesTimeSeriesChartAppearanceDTO;
|
||||
stepInterval?: number;
|
||||
}): JSX.Element {
|
||||
const [value, setValue] = useState<
|
||||
DashboardtypesTimeSeriesChartAppearanceDTO | undefined
|
||||
>(initial);
|
||||
return (
|
||||
<ChartAppearanceSection
|
||||
value={value}
|
||||
controls={{ spanGaps: true }}
|
||||
stepInterval={stepInterval}
|
||||
onChange={setValue}
|
||||
/>
|
||||
);
|
||||
}
|
||||
|
||||
// Open the antd Select by clicking its selector, then pick the option by label. The
|
||||
// line-style and fill-mode controls are ConfigSegmented (buttons), so this helper is
|
||||
// only used for the line-interpolation ConfigSelect.
|
||||
@@ -164,7 +139,7 @@ describe('ChartAppearanceSection', () => {
|
||||
await user.click(screen.getByText('Threshold'));
|
||||
|
||||
expect(onChange).toHaveBeenLastCalledWith({
|
||||
spanGaps: { fillOnlyBelow: true, fillLessThan: '1m' },
|
||||
spanGaps: { fillLessThan: '1m' },
|
||||
});
|
||||
});
|
||||
|
||||
@@ -187,7 +162,7 @@ describe('ChartAppearanceSection', () => {
|
||||
await user.tab();
|
||||
|
||||
expect(onChange).toHaveBeenLastCalledWith({
|
||||
spanGaps: { fillOnlyBelow: true, fillLessThan: '5m' },
|
||||
spanGaps: { fillLessThan: '5m' },
|
||||
});
|
||||
});
|
||||
|
||||
@@ -208,7 +183,7 @@ describe('ChartAppearanceSection', () => {
|
||||
await user.tab();
|
||||
|
||||
expect(onChange).toHaveBeenLastCalledWith({
|
||||
spanGaps: { fillOnlyBelow: true, fillLessThan: '300' },
|
||||
spanGaps: { fillLessThan: '300' },
|
||||
});
|
||||
});
|
||||
|
||||
@@ -225,24 +200,7 @@ describe('ChartAppearanceSection', () => {
|
||||
|
||||
await user.click(screen.getByText('Never'));
|
||||
|
||||
expect(onChange).toHaveBeenLastCalledWith({
|
||||
spanGaps: { fillOnlyBelow: false, fillLessThan: undefined },
|
||||
});
|
||||
});
|
||||
|
||||
it('selects Never when fillOnlyBelow is false even if a duration lingers', () => {
|
||||
render(
|
||||
<ChartAppearanceSection
|
||||
value={{ spanGaps: { fillOnlyBelow: false, fillLessThan: '1m' } }}
|
||||
controls={{ spanGaps: true }}
|
||||
onChange={jest.fn()}
|
||||
/>,
|
||||
);
|
||||
|
||||
// The flag is authoritative: a stale fillLessThan must not show Threshold.
|
||||
expect(
|
||||
screen.queryByTestId('panel-editor-v2-span-gaps-value'),
|
||||
).not.toBeInTheDocument();
|
||||
expect(onChange).toHaveBeenLastCalledWith({ spanGaps: undefined });
|
||||
});
|
||||
|
||||
it('shows an error and does not commit an invalid duration', async () => {
|
||||
@@ -286,117 +244,4 @@ describe('ChartAppearanceSection', () => {
|
||||
expect(screen.getByText(/Threshold should be >/)).toBeInTheDocument();
|
||||
expect(onChange).not.toHaveBeenCalled();
|
||||
});
|
||||
|
||||
it('seeds the threshold from the step interval when switching to Threshold', async () => {
|
||||
const user = userEvent.setup();
|
||||
const onChange = jest.fn();
|
||||
render(
|
||||
<ChartAppearanceSection
|
||||
value={undefined}
|
||||
controls={{ spanGaps: true }}
|
||||
stepInterval={300}
|
||||
onChange={onChange}
|
||||
/>,
|
||||
);
|
||||
|
||||
await user.click(screen.getByText('Threshold'));
|
||||
|
||||
expect(onChange).toHaveBeenLastCalledWith({
|
||||
spanGaps: { fillOnlyBelow: true, fillLessThan: '5m' },
|
||||
});
|
||||
});
|
||||
|
||||
it('seeds from the step interval even when it arrives after mount', async () => {
|
||||
const user = userEvent.setup();
|
||||
const onChange = jest.fn();
|
||||
// The step interval is undefined until the query response carries step metadata,
|
||||
// so the panel first renders without it and receives it on a later render.
|
||||
const { rerender } = render(
|
||||
<ChartAppearanceSection
|
||||
value={undefined}
|
||||
controls={{ spanGaps: true }}
|
||||
onChange={onChange}
|
||||
/>,
|
||||
);
|
||||
rerender(
|
||||
<ChartAppearanceSection
|
||||
value={undefined}
|
||||
controls={{ spanGaps: true }}
|
||||
stepInterval={300}
|
||||
onChange={onChange}
|
||||
/>,
|
||||
);
|
||||
|
||||
await user.click(screen.getByText('Threshold'));
|
||||
|
||||
// Regression: a value seeded at mount would still be the 1m fallback.
|
||||
expect(onChange).toHaveBeenLastCalledWith({
|
||||
spanGaps: { fillOnlyBelow: true, fillLessThan: '5m' },
|
||||
});
|
||||
});
|
||||
|
||||
it('shows a validation error while typing, before blur', async () => {
|
||||
const user = userEvent.setup();
|
||||
render(
|
||||
<ChartAppearanceSection
|
||||
value={{ spanGaps: { fillLessThan: '1m' } }}
|
||||
controls={{ spanGaps: true }}
|
||||
onChange={jest.fn()}
|
||||
/>,
|
||||
);
|
||||
|
||||
const input = screen.getByTestId('panel-editor-v2-span-gaps-value');
|
||||
await user.clear(input);
|
||||
await user.type(input, 'abc');
|
||||
// No blur / Enter — the error must already be visible.
|
||||
|
||||
expect(screen.getByText(/valid duration/i)).toBeInTheDocument();
|
||||
});
|
||||
|
||||
it('does not re-commit the threshold when blurred without a change', async () => {
|
||||
const user = userEvent.setup();
|
||||
const onChange = jest.fn();
|
||||
render(
|
||||
<ChartAppearanceSection
|
||||
value={{ spanGaps: { fillLessThan: '1m' } }}
|
||||
controls={{ spanGaps: true }}
|
||||
onChange={onChange}
|
||||
/>,
|
||||
);
|
||||
|
||||
const input = screen.getByTestId('panel-editor-v2-span-gaps-value');
|
||||
await user.click(input);
|
||||
await user.tab();
|
||||
|
||||
expect(onChange).not.toHaveBeenCalled();
|
||||
});
|
||||
|
||||
it('fully switches from Threshold to Never (the input disappears)', async () => {
|
||||
const user = userEvent.setup();
|
||||
render(<StatefulSpanGaps initial={{ spanGaps: { fillLessThan: '1m' } }} />);
|
||||
|
||||
expect(
|
||||
screen.getByTestId('panel-editor-v2-span-gaps-value'),
|
||||
).toBeInTheDocument();
|
||||
|
||||
// Focus the input first so clicking Never also fires its blur (the toggle race).
|
||||
await user.click(screen.getByTestId('panel-editor-v2-span-gaps-value'));
|
||||
await user.click(screen.getByText('Never'));
|
||||
|
||||
expect(
|
||||
screen.queryByTestId('panel-editor-v2-span-gaps-value'),
|
||||
).not.toBeInTheDocument();
|
||||
});
|
||||
|
||||
it('remembers the last threshold when toggling Never → Threshold', async () => {
|
||||
const user = userEvent.setup();
|
||||
render(<StatefulSpanGaps initial={{ spanGaps: { fillLessThan: '5m' } }} />);
|
||||
|
||||
await user.click(screen.getByText('Never'));
|
||||
await user.click(screen.getByText('Threshold'));
|
||||
|
||||
expect(screen.getByTestId('panel-editor-v2-span-gaps-value')).toHaveValue(
|
||||
'5m',
|
||||
);
|
||||
});
|
||||
});
|
||||
|
||||
@@ -14,7 +14,7 @@ import ColumnUnits from './ColumnUnits';
|
||||
import styles from './FormattingSection.module.scss';
|
||||
|
||||
type FormattingSectionProps = SectionEditorProps<SectionKind.Formatting> &
|
||||
Pick<SectionEditorContext, 'tableColumns' | 'metricUnit'>;
|
||||
Pick<SectionEditorContext, 'tableColumns'>;
|
||||
|
||||
// `full` means "show the raw value, no rounding"; the digits round to that many places.
|
||||
const DECIMAL_OPTIONS: {
|
||||
@@ -39,7 +39,6 @@ function FormattingSection({
|
||||
controls,
|
||||
onChange,
|
||||
tableColumns = [],
|
||||
metricUnit,
|
||||
}: FormattingSectionProps): JSX.Element {
|
||||
return (
|
||||
<>
|
||||
@@ -51,7 +50,6 @@ function FormattingSection({
|
||||
data-testid="panel-editor-v2-unit"
|
||||
source={YAxisSource.DASHBOARDS}
|
||||
value={value?.unit}
|
||||
initialValue={metricUnit}
|
||||
onChange={(unit): void => onChange({ ...value, unit })}
|
||||
/>
|
||||
</div>
|
||||
|
||||
@@ -3,8 +3,6 @@ import userEvent from '@testing-library/user-event';
|
||||
|
||||
import FormattingSection from '../FormattingSection';
|
||||
|
||||
// Auto-seeding is covered by useMetricYAxisUnit's tests; here `metricUnit` is just a prop.
|
||||
|
||||
// Open the Decimals select (clicking its antd selector) and pick the option with the
|
||||
// given visible label.
|
||||
async function pickDecimal(label: string): Promise<void> {
|
||||
@@ -73,31 +71,4 @@ describe('FormattingSection', () => {
|
||||
decimalPrecision: '2',
|
||||
});
|
||||
});
|
||||
|
||||
it('warns when the selected unit mismatches the metric unit', () => {
|
||||
// metric sent in seconds, but bytes is selected.
|
||||
render(
|
||||
<FormattingSection
|
||||
value={{ unit: 'By' }}
|
||||
controls={{ unit: true }}
|
||||
metricUnit="s"
|
||||
onChange={jest.fn()}
|
||||
/>,
|
||||
);
|
||||
|
||||
expect(screen.getByLabelText('warning')).toBeInTheDocument();
|
||||
});
|
||||
|
||||
it('shows no warning when the selected unit matches the metric unit', () => {
|
||||
render(
|
||||
<FormattingSection
|
||||
value={{ unit: 's' }}
|
||||
controls={{ unit: true }}
|
||||
metricUnit="s"
|
||||
onChange={jest.fn()}
|
||||
/>,
|
||||
);
|
||||
|
||||
expect(screen.queryByLabelText('warning')).not.toBeInTheDocument();
|
||||
});
|
||||
});
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
import { useRef, useState } from 'react';
|
||||
import { useState } from 'react';
|
||||
import { Plus } from '@signozhq/icons';
|
||||
import { Button } from '@signozhq/ui/button';
|
||||
import {
|
||||
@@ -82,15 +82,6 @@ function ThresholdsSection({
|
||||
// Which row is being edited, and whether it was just added (so Discard removes it).
|
||||
const [editingIndex, setEditingIndex] = useState<number | null>(null);
|
||||
const [unsavedIndex, setUnsavedIndex] = useState<number | null>(null);
|
||||
// The saved threshold captured on edit entry, restored if the edit is discarded
|
||||
// (edits stream into the spec live, so Discard can't just drop a local draft).
|
||||
const editSnapshot = useRef<AnyThreshold | null>(null);
|
||||
|
||||
const updateAt =
|
||||
(index: number) =>
|
||||
(next: AnyThreshold): void => {
|
||||
onChange(thresholds.map((t, i) => (i === index ? next : t)));
|
||||
};
|
||||
|
||||
const addThreshold = (): void => {
|
||||
const nextIndex = thresholds.length;
|
||||
@@ -99,11 +90,6 @@ function ThresholdsSection({
|
||||
setUnsavedIndex(nextIndex);
|
||||
};
|
||||
|
||||
const beginEdit = (index: number): void => {
|
||||
editSnapshot.current = thresholds[index] ?? null;
|
||||
setEditingIndex(index);
|
||||
};
|
||||
|
||||
const saveAt =
|
||||
(index: number) =>
|
||||
(next: AnyThreshold): void => {
|
||||
@@ -119,15 +105,11 @@ function ThresholdsSection({
|
||||
};
|
||||
|
||||
const discardAt = (index: number) => (): void => {
|
||||
// A never-saved row is removed; otherwise revert the live edits to the snapshot.
|
||||
// Discarding a row that was never saved removes it; otherwise just exit edit.
|
||||
if (index === unsavedIndex) {
|
||||
removeAt(index);
|
||||
return;
|
||||
}
|
||||
const original = editSnapshot.current;
|
||||
if (original) {
|
||||
onChange(thresholds.map((t, i) => (i === index ? original : t)));
|
||||
}
|
||||
setEditingIndex(null);
|
||||
};
|
||||
|
||||
@@ -138,9 +120,8 @@ function ThresholdsSection({
|
||||
index,
|
||||
yAxisUnit,
|
||||
isEditing: editingIndex === index,
|
||||
onEdit: (): void => beginEdit(index),
|
||||
onEdit: (): void => setEditingIndex(index),
|
||||
onSave: saveAt(index),
|
||||
onLiveChange: updateAt(index),
|
||||
onDiscard: discardAt(index),
|
||||
onRemove: (): void => removeAt(index),
|
||||
};
|
||||
|
||||
@@ -5,7 +5,7 @@ import {
|
||||
DashboardtypesThresholdFormatDTO,
|
||||
} from 'api/generated/services/sigNoz.schemas';
|
||||
import type { AnyThreshold } from 'pages/DashboardPageV2/DashboardContainer/Panels/types/sections';
|
||||
import { render, screen, userEvent, waitFor } from 'tests/test-utils';
|
||||
import { render, screen, userEvent } from 'tests/test-utils';
|
||||
|
||||
import UnifiedThresholdsSection from '../ThresholdsSection';
|
||||
|
||||
@@ -36,16 +36,9 @@ const THRESHOLDS: DashboardtypesComparisonThresholdDTO[] = [
|
||||
},
|
||||
];
|
||||
|
||||
// Stateful harness for flows that depend on the value updating (add/discard/live).
|
||||
function Harness({
|
||||
yAxisUnit,
|
||||
initial = [],
|
||||
}: {
|
||||
yAxisUnit?: string;
|
||||
initial?: DashboardtypesComparisonThresholdDTO[];
|
||||
}): JSX.Element {
|
||||
const [value, setValue] =
|
||||
useState<DashboardtypesComparisonThresholdDTO[]>(initial);
|
||||
// Stateful harness for flows that depend on the value updating (add/discard).
|
||||
function Harness({ yAxisUnit }: { yAxisUnit?: string }): JSX.Element {
|
||||
const [value, setValue] = useState<DashboardtypesComparisonThresholdDTO[]>([]);
|
||||
return (
|
||||
<ComparisonThresholdsSection
|
||||
value={value}
|
||||
@@ -149,46 +142,24 @@ describe('ComparisonThresholdsSection', () => {
|
||||
expect(valueInput).toHaveValue(5);
|
||||
});
|
||||
|
||||
it('reflects edits live (before Save) so the preview can react', async () => {
|
||||
it('does not commit edits when Discard is clicked', async () => {
|
||||
const user = userEvent.setup();
|
||||
const onChange = jest.fn();
|
||||
render(
|
||||
<ComparisonThresholdsSection value={THRESHOLDS} onChange={onChange} />,
|
||||
);
|
||||
|
||||
await user.click(screen.getByTestId('comparison-threshold-edit-0'));
|
||||
await user.clear(screen.getByTestId('comparison-threshold-value-0'));
|
||||
await user.type(screen.getByTestId('comparison-threshold-value-0'), '90');
|
||||
|
||||
// No Save click — the latest edit is pushed up (debounced) for the preview.
|
||||
await waitFor(() =>
|
||||
expect(onChange).toHaveBeenLastCalledWith([
|
||||
{
|
||||
value: 90,
|
||||
color: '#F5B225',
|
||||
operator: DashboardtypesComparisonOperatorDTO.above,
|
||||
unit: 'percent',
|
||||
format: DashboardtypesThresholdFormatDTO.background,
|
||||
},
|
||||
]),
|
||||
);
|
||||
});
|
||||
|
||||
it('reverts the live edits to the saved value on Discard', async () => {
|
||||
const user = userEvent.setup();
|
||||
render(<Harness initial={THRESHOLDS} />);
|
||||
|
||||
await user.click(screen.getByTestId('comparison-threshold-edit-0'));
|
||||
await user.clear(screen.getByTestId('comparison-threshold-value-0'));
|
||||
await user.type(screen.getByTestId('comparison-threshold-value-0'), '90');
|
||||
await user.click(screen.getByTestId('comparison-threshold-discard-0'));
|
||||
|
||||
// Back to view mode, and re-opening shows the rolled-back 80, not 90.
|
||||
expect(onChange).not.toHaveBeenCalled();
|
||||
// Back to view mode.
|
||||
expect(
|
||||
screen.queryByTestId('comparison-threshold-value-0'),
|
||||
).not.toBeInTheDocument();
|
||||
await user.click(screen.getByTestId('comparison-threshold-edit-0'));
|
||||
expect(screen.getByTestId('comparison-threshold-value-0')).toHaveValue(80);
|
||||
expect(screen.getByTestId('comparison-threshold-edit-0')).toBeInTheDocument();
|
||||
});
|
||||
|
||||
it('removes a threshold from view mode', async () => {
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
import { useState } from 'react';
|
||||
import { render, screen, waitFor } from '@testing-library/react';
|
||||
import { fireEvent, render, screen } from '@testing-library/react';
|
||||
import userEvent from '@testing-library/user-event';
|
||||
import type { DashboardtypesThresholdWithLabelDTO } from 'api/generated/services/sigNoz.schemas';
|
||||
import type { AnyThreshold } from 'pages/DashboardPageV2/DashboardContainer/Panels/types/sections';
|
||||
@@ -10,16 +10,10 @@ const THRESHOLDS: DashboardtypesThresholdWithLabelDTO[] = [
|
||||
{ value: 80, color: '#F5B225', label: 'High', unit: 'percent' },
|
||||
];
|
||||
|
||||
// Stateful harness for flows that depend on the value updating (add/discard/live);
|
||||
// Stateful harness for flows that depend on the value updating (add/discard);
|
||||
// omits `controls` to exercise the default `label` variant.
|
||||
function Harness({
|
||||
yAxisUnit,
|
||||
initial = [],
|
||||
}: {
|
||||
yAxisUnit?: string;
|
||||
initial?: AnyThreshold[];
|
||||
}): JSX.Element {
|
||||
const [value, setValue] = useState<AnyThreshold[]>(initial);
|
||||
function Harness({ yAxisUnit }: { yAxisUnit?: string }): JSX.Element {
|
||||
const [value, setValue] = useState<AnyThreshold[]>([]);
|
||||
return (
|
||||
<ThresholdsSection value={value} onChange={setValue} yAxisUnit={yAxisUnit} />
|
||||
);
|
||||
@@ -43,20 +37,19 @@ describe('ThresholdsSection', () => {
|
||||
expect(screen.queryByTestId('threshold-value-0')).not.toBeInTheDocument();
|
||||
});
|
||||
|
||||
it('edits a threshold value and commits it on Save', async () => {
|
||||
const user = userEvent.setup();
|
||||
it('edits a threshold value and commits it on Save', () => {
|
||||
const onChange = jest.fn();
|
||||
render(<ThresholdsSection value={THRESHOLDS} onChange={onChange} />);
|
||||
|
||||
await user.click(screen.getByTestId('threshold-edit-0'));
|
||||
const valueInput = screen.getByTestId('threshold-value-0');
|
||||
expect(valueInput).toHaveValue(80);
|
||||
fireEvent.click(screen.getByTestId('threshold-edit-0'));
|
||||
expect(screen.getByTestId('threshold-value-0')).toHaveValue(80);
|
||||
|
||||
await user.clear(valueInput);
|
||||
await user.type(valueInput, '90');
|
||||
await user.click(screen.getByTestId('threshold-save-0'));
|
||||
fireEvent.change(screen.getByTestId('threshold-value-0'), {
|
||||
target: { value: '90' },
|
||||
});
|
||||
fireEvent.click(screen.getByTestId('threshold-save-0'));
|
||||
|
||||
expect(onChange).toHaveBeenLastCalledWith([
|
||||
expect(onChange).toHaveBeenCalledWith([
|
||||
{ value: 90, color: '#F5B225', label: 'High', unit: 'percent' },
|
||||
]);
|
||||
});
|
||||
@@ -77,63 +70,43 @@ describe('ThresholdsSection', () => {
|
||||
]);
|
||||
});
|
||||
|
||||
it('reflects edits live (before Save) so the preview can react', async () => {
|
||||
const user = userEvent.setup();
|
||||
it('does not commit edits when Discard is clicked', () => {
|
||||
const onChange = jest.fn();
|
||||
render(<ThresholdsSection value={THRESHOLDS} onChange={onChange} />);
|
||||
|
||||
await user.click(screen.getByTestId('threshold-edit-0'));
|
||||
await user.clear(screen.getByTestId('threshold-value-0'));
|
||||
await user.type(screen.getByTestId('threshold-value-0'), '90');
|
||||
fireEvent.click(screen.getByTestId('threshold-edit-0'));
|
||||
fireEvent.change(screen.getByTestId('threshold-value-0'), {
|
||||
target: { value: '90' },
|
||||
});
|
||||
fireEvent.click(screen.getByTestId('threshold-discard-0'));
|
||||
|
||||
// No Save click — the edit is pushed up (debounced) for the preview to render.
|
||||
await waitFor(() =>
|
||||
expect(onChange).toHaveBeenLastCalledWith([
|
||||
{ value: 90, color: '#F5B225', label: 'High', unit: 'percent' },
|
||||
]),
|
||||
);
|
||||
});
|
||||
|
||||
it('reverts the live edits to the saved value on Discard', async () => {
|
||||
const user = userEvent.setup();
|
||||
render(<Harness initial={THRESHOLDS} />);
|
||||
|
||||
await user.click(screen.getByTestId('threshold-edit-0'));
|
||||
await user.clear(screen.getByTestId('threshold-value-0'));
|
||||
await user.type(screen.getByTestId('threshold-value-0'), '90');
|
||||
await user.click(screen.getByTestId('threshold-discard-0'));
|
||||
|
||||
// Back to view mode, and re-opening shows the rolled-back 80, not 90.
|
||||
expect(onChange).not.toHaveBeenCalled();
|
||||
expect(screen.queryByTestId('threshold-value-0')).not.toBeInTheDocument();
|
||||
await user.click(screen.getByTestId('threshold-edit-0'));
|
||||
expect(screen.getByTestId('threshold-value-0')).toHaveValue(80);
|
||||
expect(screen.getByTestId('threshold-edit-0')).toBeInTheDocument();
|
||||
});
|
||||
|
||||
it('removes a threshold from view mode', async () => {
|
||||
const user = userEvent.setup();
|
||||
it('removes a threshold from view mode', () => {
|
||||
const onChange = jest.fn();
|
||||
render(<ThresholdsSection value={THRESHOLDS} onChange={onChange} />);
|
||||
|
||||
await user.click(screen.getByTestId('threshold-remove-0'));
|
||||
fireEvent.click(screen.getByTestId('threshold-remove-0'));
|
||||
|
||||
expect(onChange).toHaveBeenCalledWith([]);
|
||||
});
|
||||
|
||||
it('adds a threshold that opens in edit mode, and discards it away', async () => {
|
||||
const user = userEvent.setup();
|
||||
it('adds a threshold that opens in edit mode, and discards it away', () => {
|
||||
render(<Harness />);
|
||||
|
||||
await user.click(screen.getByTestId('panel-editor-v2-add-threshold'));
|
||||
fireEvent.click(screen.getByTestId('panel-editor-v2-add-threshold'));
|
||||
expect(screen.getByTestId('threshold-value-0')).toBeInTheDocument();
|
||||
|
||||
// Discarding a never-saved row removes it entirely.
|
||||
await user.click(screen.getByTestId('threshold-discard-0'));
|
||||
fireEvent.click(screen.getByTestId('threshold-discard-0'));
|
||||
expect(screen.queryByTestId('threshold-value-0')).not.toBeInTheDocument();
|
||||
expect(screen.queryByTestId('threshold-edit-0')).not.toBeInTheDocument();
|
||||
});
|
||||
|
||||
it('flags a threshold unit in a different category than the y-axis unit', async () => {
|
||||
const user = userEvent.setup();
|
||||
it('flags a threshold unit in a different category than the y-axis unit', () => {
|
||||
render(
|
||||
<ThresholdsSection
|
||||
value={[{ value: 80, color: '#F5B225', label: '', unit: 'ms' }]}
|
||||
@@ -142,12 +115,11 @@ describe('ThresholdsSection', () => {
|
||||
/>,
|
||||
);
|
||||
|
||||
await user.click(screen.getByTestId('threshold-edit-0'));
|
||||
fireEvent.click(screen.getByTestId('threshold-edit-0'));
|
||||
expect(screen.getByTestId('threshold-unit-invalid-0')).toBeInTheDocument();
|
||||
});
|
||||
|
||||
it('does not flag a threshold unit in the same category as the y-axis unit', async () => {
|
||||
const user = userEvent.setup();
|
||||
it('does not flag a threshold unit in the same category as the y-axis unit', () => {
|
||||
render(
|
||||
<ThresholdsSection
|
||||
value={[{ value: 80, color: '#F5B225', label: '', unit: 'ms' }]}
|
||||
@@ -156,7 +128,7 @@ describe('ThresholdsSection', () => {
|
||||
/>,
|
||||
);
|
||||
|
||||
await user.click(screen.getByTestId('threshold-edit-0'));
|
||||
fireEvent.click(screen.getByTestId('threshold-edit-0'));
|
||||
expect(
|
||||
screen.queryByTestId('threshold-unit-invalid-0'),
|
||||
).not.toBeInTheDocument();
|
||||
|
||||
@@ -27,7 +27,6 @@ interface ComparisonThresholdRowProps {
|
||||
isEditing: boolean;
|
||||
onEdit: () => void;
|
||||
onSave: (next: DashboardtypesComparisonThresholdDTO) => void;
|
||||
onLiveChange: (next: DashboardtypesComparisonThresholdDTO) => void;
|
||||
onDiscard: () => void;
|
||||
onRemove: () => void;
|
||||
}
|
||||
@@ -43,15 +42,10 @@ function ComparisonThresholdRow({
|
||||
isEditing,
|
||||
onEdit,
|
||||
onSave,
|
||||
onLiveChange,
|
||||
onDiscard,
|
||||
onRemove,
|
||||
}: ComparisonThresholdRowProps): JSX.Element {
|
||||
const { draft, setDraft, setValue } = useThresholdDraft(
|
||||
threshold,
|
||||
isEditing,
|
||||
onLiveChange,
|
||||
);
|
||||
const { draft, setDraft, setValue } = useThresholdDraft(threshold, isEditing);
|
||||
|
||||
const symbol = threshold.operator ? OPERATOR_SYMBOL[threshold.operator] : '';
|
||||
const summary = (
|
||||
|
||||
@@ -20,7 +20,6 @@ interface LabelThresholdRowProps {
|
||||
isEditing: boolean;
|
||||
onEdit: () => void;
|
||||
onSave: (next: DashboardtypesThresholdWithLabelDTO) => void;
|
||||
onLiveChange: (next: DashboardtypesThresholdWithLabelDTO) => void;
|
||||
onDiscard: () => void;
|
||||
onRemove: () => void;
|
||||
}
|
||||
@@ -33,15 +32,10 @@ function LabelThresholdRow({
|
||||
isEditing,
|
||||
onEdit,
|
||||
onSave,
|
||||
onLiveChange,
|
||||
onDiscard,
|
||||
onRemove,
|
||||
}: LabelThresholdRowProps): JSX.Element {
|
||||
const { draft, setDraft, setValue } = useThresholdDraft(
|
||||
threshold,
|
||||
isEditing,
|
||||
onLiveChange,
|
||||
);
|
||||
const { draft, setDraft, setValue } = useThresholdDraft(threshold, isEditing);
|
||||
|
||||
// Persist an empty-string label when none was entered — the spec requires a string.
|
||||
const handleSave = useCallback((): void => {
|
||||
|
||||
@@ -28,7 +28,6 @@ interface TableThresholdRowProps {
|
||||
isEditing: boolean;
|
||||
onEdit: () => void;
|
||||
onSave: (next: DashboardtypesTableThresholdDTO) => void;
|
||||
onLiveChange: (next: DashboardtypesTableThresholdDTO) => void;
|
||||
onDiscard: () => void;
|
||||
onRemove: () => void;
|
||||
}
|
||||
@@ -46,15 +45,10 @@ function TableThresholdRow({
|
||||
isEditing,
|
||||
onEdit,
|
||||
onSave,
|
||||
onLiveChange,
|
||||
onDiscard,
|
||||
onRemove,
|
||||
}: TableThresholdRowProps): JSX.Element {
|
||||
const { draft, setDraft, setValue } = useThresholdDraft(
|
||||
threshold,
|
||||
isEditing,
|
||||
onLiveChange,
|
||||
);
|
||||
const { draft, setDraft, setValue } = useThresholdDraft(threshold, isEditing);
|
||||
|
||||
// Stored columnName is the query key; resolve its label + configured unit.
|
||||
const columnUnit = tableColumns.find((c) => c.key === draft.columnName)?.unit;
|
||||
|
||||
@@ -1,5 +1,4 @@
|
||||
import { type Dispatch, type SetStateAction, useEffect, useState } from 'react';
|
||||
import useDebouncedFn from 'hooks/useDebouncedFunction';
|
||||
|
||||
interface ThresholdDraft<T> {
|
||||
draft: T;
|
||||
@@ -8,25 +7,17 @@ interface ThresholdDraft<T> {
|
||||
setValue: (raw: string) => void;
|
||||
}
|
||||
|
||||
const LIVE_PREVIEW_DEBOUNCE_MS = 150;
|
||||
|
||||
/**
|
||||
* Local draft for a threshold row, shared by every variant. Snapshots the saved
|
||||
* threshold on each entry into edit mode and exposes the numeric `value` setter all
|
||||
* variants use. `onLiveChange` mirrors the draft into the spec as the user edits, so the
|
||||
* panel preview updates live (without Save); the section reverts it on Discard.
|
||||
* threshold on each entry into edit mode (so Discard simply drops the draft and the
|
||||
* next edit starts clean) and exposes the numeric `value` setter all variants use.
|
||||
*/
|
||||
export function useThresholdDraft<T extends { value: number }>(
|
||||
threshold: T,
|
||||
isEditing: boolean,
|
||||
onLiveChange?: (draft: T) => void,
|
||||
): ThresholdDraft<T> {
|
||||
const [draft, setDraft] = useState<T>(threshold);
|
||||
|
||||
const emitLiveChange = useDebouncedFn((next) => {
|
||||
onLiveChange?.(next as T);
|
||||
}, LIVE_PREVIEW_DEBOUNCE_MS);
|
||||
|
||||
useEffect(() => {
|
||||
if (isEditing) {
|
||||
setDraft(threshold);
|
||||
@@ -34,20 +25,6 @@ export function useThresholdDraft<T extends { value: number }>(
|
||||
// eslint-disable-next-line react-hooks/exhaustive-deps -- snapshot only on edit entry
|
||||
}, [isEditing]);
|
||||
|
||||
useEffect(() => {
|
||||
if (isEditing) {
|
||||
emitLiveChange(draft);
|
||||
}
|
||||
// eslint-disable-next-line react-hooks/exhaustive-deps -- propagate on draft change only
|
||||
}, [draft]);
|
||||
|
||||
useEffect(() => {
|
||||
if (!isEditing) {
|
||||
emitLiveChange.cancel();
|
||||
}
|
||||
return (): void => emitLiveChange.cancel();
|
||||
}, [isEditing, emitLiveChange]);
|
||||
|
||||
const setValue = (raw: string): void => {
|
||||
const next = Number(raw);
|
||||
setDraft((d) => ({ ...d, value: Number.isNaN(next) ? d.value : next }));
|
||||
|
||||
@@ -1,8 +1,6 @@
|
||||
import {
|
||||
DashboardtypesComparisonOperatorDTO,
|
||||
type DashboardtypesPanelSpecDTO,
|
||||
DashboardtypesThresholdFormatDTO,
|
||||
TelemetrytypesSignalDTO,
|
||||
type DashboardtypesPanelSpecDTO,
|
||||
} from 'api/generated/services/sigNoz.schemas';
|
||||
import { getPanelDefinition } from 'pages/DashboardPageV2/DashboardContainer/Panels/registry';
|
||||
|
||||
@@ -97,141 +95,4 @@ describe('getSwitchedPluginSpec', () => {
|
||||
|
||||
expect(result.legend?.position).toBe('bottom');
|
||||
});
|
||||
|
||||
describe('thresholds', () => {
|
||||
it('does not carry thresholds when the new kind has no thresholds section', () => {
|
||||
mockGetPanelDefinition.mockReturnValue({ sections: [{ kind: 'columns' }] });
|
||||
const old = specWith({
|
||||
thresholds: [{ value: 80, color: '#F1575F', label: 'warn' }],
|
||||
});
|
||||
|
||||
const result = getSwitchedPluginSpec(
|
||||
old,
|
||||
'signoz/ListPanel',
|
||||
TelemetrytypesSignalDTO.logs,
|
||||
);
|
||||
|
||||
expect(result.thresholds).toBeUndefined();
|
||||
});
|
||||
|
||||
it('carries thresholds verbatim within the label variant (color/value/unit/label)', () => {
|
||||
mockGetPanelDefinition.mockReturnValue({
|
||||
sections: [{ kind: 'thresholds', controls: { variant: 'label' } }],
|
||||
});
|
||||
const old = specWith({
|
||||
thresholds: [{ value: 80, color: '#F1575F', unit: 'ms', label: 'warn' }],
|
||||
});
|
||||
|
||||
const result = getSwitchedPluginSpec(
|
||||
old,
|
||||
'signoz/BarChartPanel',
|
||||
TelemetrytypesSignalDTO.logs,
|
||||
);
|
||||
|
||||
expect(result.thresholds).toStrictEqual([
|
||||
{ value: 80, color: '#F1575F', unit: 'ms', label: 'warn' },
|
||||
]);
|
||||
});
|
||||
|
||||
it('remaps label thresholds into the comparison variant, defaulting operator + format', () => {
|
||||
mockGetPanelDefinition.mockReturnValue({
|
||||
sections: [{ kind: 'thresholds', controls: { variant: 'comparison' } }],
|
||||
});
|
||||
const old = specWith({
|
||||
thresholds: [{ value: 80, color: '#F1575F', label: 'warn' }],
|
||||
});
|
||||
|
||||
const result = getSwitchedPluginSpec(
|
||||
old,
|
||||
'signoz/NumberPanel',
|
||||
TelemetrytypesSignalDTO.logs,
|
||||
);
|
||||
|
||||
// The label is dropped; operator/format are seeded so the threshold can match.
|
||||
expect(result.thresholds).toStrictEqual([
|
||||
{
|
||||
value: 80,
|
||||
color: '#F1575F',
|
||||
operator: DashboardtypesComparisonOperatorDTO.above,
|
||||
format: DashboardtypesThresholdFormatDTO.text,
|
||||
},
|
||||
]);
|
||||
});
|
||||
|
||||
it('remaps comparison thresholds into the table variant, keeping operator/format and seeding a column', () => {
|
||||
mockGetPanelDefinition.mockReturnValue({
|
||||
sections: [{ kind: 'thresholds', controls: { variant: 'table' } }],
|
||||
});
|
||||
const old = specWith({
|
||||
thresholds: [
|
||||
{
|
||||
value: 80,
|
||||
color: '#F1575F',
|
||||
operator: DashboardtypesComparisonOperatorDTO.below,
|
||||
format: DashboardtypesThresholdFormatDTO.text,
|
||||
},
|
||||
],
|
||||
});
|
||||
|
||||
const result = getSwitchedPluginSpec(
|
||||
old,
|
||||
'signoz/TablePanel',
|
||||
TelemetrytypesSignalDTO.logs,
|
||||
);
|
||||
|
||||
expect(result.thresholds).toStrictEqual([
|
||||
{
|
||||
value: 80,
|
||||
color: '#F1575F',
|
||||
operator: DashboardtypesComparisonOperatorDTO.below,
|
||||
format: DashboardtypesThresholdFormatDTO.text,
|
||||
columnName: '',
|
||||
},
|
||||
]);
|
||||
});
|
||||
|
||||
it('drops the table-only columnName when remapping into the label variant', () => {
|
||||
mockGetPanelDefinition.mockReturnValue({
|
||||
sections: [{ kind: 'thresholds', controls: { variant: 'label' } }],
|
||||
});
|
||||
const old = specWith({
|
||||
thresholds: [
|
||||
{
|
||||
value: 80,
|
||||
color: '#F1575F',
|
||||
operator: DashboardtypesComparisonOperatorDTO.above,
|
||||
format: DashboardtypesThresholdFormatDTO.background,
|
||||
columnName: 'p99',
|
||||
},
|
||||
],
|
||||
});
|
||||
|
||||
const result = getSwitchedPluginSpec(
|
||||
old,
|
||||
'signoz/TimeSeriesPanel',
|
||||
TelemetrytypesSignalDTO.logs,
|
||||
);
|
||||
|
||||
expect(result.thresholds).toStrictEqual([{ value: 80, color: '#F1575F' }]);
|
||||
});
|
||||
|
||||
it('defaults the variant to label when the thresholds section omits controls', () => {
|
||||
mockGetPanelDefinition.mockReturnValue({
|
||||
sections: [{ kind: 'thresholds', controls: {} }],
|
||||
});
|
||||
const old = specWith({
|
||||
thresholds: [{ value: 80, color: '#F1575F', label: 'warn' }],
|
||||
});
|
||||
|
||||
const result = getSwitchedPluginSpec(
|
||||
old,
|
||||
'signoz/TimeSeriesPanel',
|
||||
TelemetrytypesSignalDTO.logs,
|
||||
);
|
||||
|
||||
expect(result.thresholds).toStrictEqual([
|
||||
{ value: 80, color: '#F1575F', label: 'warn' },
|
||||
]);
|
||||
});
|
||||
});
|
||||
});
|
||||
|
||||
@@ -1,18 +1,13 @@
|
||||
import {
|
||||
DashboardtypesComparisonOperatorDTO,
|
||||
type DashboardtypesPanelSpecDTO,
|
||||
DashboardtypesThresholdFormatDTO,
|
||||
type TelemetrytypesSignalDTO,
|
||||
type TelemetrytypesTelemetryFieldKeyDTO,
|
||||
import type {
|
||||
DashboardtypesPanelSpecDTO,
|
||||
TelemetrytypesSignalDTO,
|
||||
TelemetrytypesTelemetryFieldKeyDTO,
|
||||
} from 'api/generated/services/sigNoz.schemas';
|
||||
import { getPanelDefinition } from 'pages/DashboardPageV2/DashboardContainer/Panels/registry';
|
||||
import type { PanelKind } from 'pages/DashboardPageV2/DashboardContainer/Panels/types/panelKind';
|
||||
import {
|
||||
type AnyThreshold,
|
||||
type PanelFormattingSlice,
|
||||
type SectionConfig,
|
||||
SectionKind,
|
||||
type ThresholdVariant,
|
||||
type PanelFormattingSlice,
|
||||
} from 'pages/DashboardPageV2/DashboardContainer/Panels/types/sections';
|
||||
import {
|
||||
buildDefaultPluginSpec,
|
||||
@@ -29,73 +24,13 @@ import { defaultColumnsForSignal } from './ListColumnsEditor/selectFields';
|
||||
export interface SwitchedPluginSpec extends DefaultPluginSpec {
|
||||
formatting?: Pick<PanelFormattingSlice, 'unit' | 'decimalPrecision'>;
|
||||
selectFields?: TelemetrytypesTelemetryFieldKeyDTO[];
|
||||
thresholds?: AnyThreshold[];
|
||||
}
|
||||
|
||||
/** Every field any threshold variant can hold; switching reads across shapes to remap. */
|
||||
interface AnyThresholdFields {
|
||||
color: string;
|
||||
value: number;
|
||||
unit?: string;
|
||||
operator?: DashboardtypesComparisonOperatorDTO;
|
||||
format?: DashboardtypesThresholdFormatDTO;
|
||||
columnName?: string;
|
||||
label?: string;
|
||||
}
|
||||
|
||||
/** The threshold variant a kind edits, or `undefined` when it has no Thresholds section. */
|
||||
function getThresholdVariant(
|
||||
sections: SectionConfig[],
|
||||
): ThresholdVariant | undefined {
|
||||
const section = sections.find(
|
||||
(s): s is Extract<SectionConfig, { kind: SectionKind.Thresholds }> =>
|
||||
s.kind === SectionKind.Thresholds,
|
||||
);
|
||||
return section ? (section.controls.variant ?? 'label') : undefined;
|
||||
}
|
||||
|
||||
/**
|
||||
* Remaps a threshold to the target kind's variant: keeps the shared core (color, value,
|
||||
* unit) plus any cross-variant fields, and seeds the rest with the variant's defaults so
|
||||
* the carried threshold stays functional (a comparison/table threshold needs an operator
|
||||
* to match, a table threshold a column).
|
||||
*/
|
||||
function toThresholdVariant(
|
||||
source: AnyThresholdFields,
|
||||
variant: ThresholdVariant,
|
||||
): AnyThreshold {
|
||||
const core = {
|
||||
color: source.color,
|
||||
value: source.value,
|
||||
...(source.unit !== undefined && { unit: source.unit }),
|
||||
};
|
||||
if (variant === 'comparison') {
|
||||
return {
|
||||
...core,
|
||||
operator: source.operator ?? DashboardtypesComparisonOperatorDTO.above,
|
||||
format: source.format ?? DashboardtypesThresholdFormatDTO.text,
|
||||
};
|
||||
}
|
||||
if (variant === 'table') {
|
||||
return {
|
||||
...core,
|
||||
operator: source.operator ?? DashboardtypesComparisonOperatorDTO.above,
|
||||
format: source.format ?? DashboardtypesThresholdFormatDTO.background,
|
||||
columnName: source.columnName ?? '',
|
||||
};
|
||||
}
|
||||
return {
|
||||
...core,
|
||||
...(source.label !== undefined && { label: source.label }),
|
||||
};
|
||||
}
|
||||
|
||||
/**
|
||||
* Builds the plugin spec for a first-visit switch to `newKind`: the kind's declared
|
||||
* section defaults (so the config pane opens populated, matching new-panel seeding) plus
|
||||
* the cross-kind config worth keeping — unit + decimal precision, and thresholds when the
|
||||
* new kind supports them (remapped to its variant). Switching into a List seeds the
|
||||
* current signal's default columns so the columns control isn't empty.
|
||||
* the only cross-kind config worth keeping — unit + decimal precision. Switching into a
|
||||
* List seeds the current signal's default columns so the columns control isn't empty.
|
||||
*
|
||||
* Revisiting a kind restores its stashed spec instead, so this runs only on first visit.
|
||||
*/
|
||||
@@ -131,19 +66,5 @@ export function getSwitchedPluginSpec(
|
||||
}
|
||||
}
|
||||
|
||||
const thresholdVariant = getThresholdVariant(sections);
|
||||
if (thresholdVariant) {
|
||||
const oldThresholds = (
|
||||
oldSpec.plugin.spec as {
|
||||
thresholds?: AnyThreshold[] | null;
|
||||
}
|
||||
).thresholds;
|
||||
if (oldThresholds && oldThresholds.length > 0) {
|
||||
result.thresholds = oldThresholds.map((threshold) =>
|
||||
toThresholdVariant(threshold as AnyThresholdFields, thresholdVariant),
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
return result;
|
||||
}
|
||||
|
||||
@@ -1,103 +0,0 @@
|
||||
import { renderHook } from '@testing-library/react';
|
||||
import useGetYAxisUnit from 'hooks/useGetYAxisUnit';
|
||||
|
||||
import { useMetricYAxisUnit } from '../useMetricYAxisUnit';
|
||||
|
||||
jest.mock('hooks/useGetYAxisUnit', () => ({
|
||||
__esModule: true,
|
||||
default: jest.fn(),
|
||||
}));
|
||||
|
||||
const mockUseGetYAxisUnit = useGetYAxisUnit as unknown as jest.Mock;
|
||||
|
||||
function mockMetricUnit(
|
||||
yAxisUnit: string | undefined,
|
||||
isLoading = false,
|
||||
): void {
|
||||
mockUseGetYAxisUnit.mockReturnValue({ yAxisUnit, isLoading, isError: false });
|
||||
}
|
||||
|
||||
describe('useMetricYAxisUnit', () => {
|
||||
beforeEach(() => jest.clearAllMocks());
|
||||
|
||||
it('seeds the unit from the metric on a new panel', () => {
|
||||
mockMetricUnit('bytes');
|
||||
const onSelectUnit = jest.fn();
|
||||
|
||||
renderHook(() =>
|
||||
useMetricYAxisUnit({ isNewPanel: true, unit: undefined, onSelectUnit }),
|
||||
);
|
||||
|
||||
expect(onSelectUnit).toHaveBeenCalledWith('bytes');
|
||||
});
|
||||
|
||||
it('does not seed when not a new panel', () => {
|
||||
mockMetricUnit('bytes');
|
||||
const onSelectUnit = jest.fn();
|
||||
|
||||
renderHook(() =>
|
||||
useMetricYAxisUnit({ isNewPanel: false, unit: undefined, onSelectUnit }),
|
||||
);
|
||||
|
||||
expect(onSelectUnit).not.toHaveBeenCalled();
|
||||
});
|
||||
|
||||
it('does not seed when the metric has no unit', () => {
|
||||
mockMetricUnit(undefined);
|
||||
const onSelectUnit = jest.fn();
|
||||
|
||||
renderHook(() =>
|
||||
useMetricYAxisUnit({ isNewPanel: true, unit: undefined, onSelectUnit }),
|
||||
);
|
||||
|
||||
expect(onSelectUnit).not.toHaveBeenCalled();
|
||||
});
|
||||
|
||||
it('does not seed when the unit already matches the metric', () => {
|
||||
mockMetricUnit('bytes');
|
||||
const onSelectUnit = jest.fn();
|
||||
|
||||
renderHook(() =>
|
||||
useMetricYAxisUnit({ isNewPanel: true, unit: 'bytes', onSelectUnit }),
|
||||
);
|
||||
|
||||
expect(onSelectUnit).not.toHaveBeenCalled();
|
||||
});
|
||||
|
||||
it('re-seeds when the resolved metric unit changes', () => {
|
||||
mockMetricUnit('bytes');
|
||||
const onSelectUnit = jest.fn();
|
||||
|
||||
const { rerender } = renderHook(
|
||||
(props: { unit: string | undefined }) =>
|
||||
useMetricYAxisUnit({
|
||||
isNewPanel: true,
|
||||
unit: props.unit,
|
||||
onSelectUnit,
|
||||
}),
|
||||
{ initialProps: { unit: undefined as string | undefined } },
|
||||
);
|
||||
expect(onSelectUnit).toHaveBeenLastCalledWith('bytes');
|
||||
|
||||
// The metric changes; the panel now holds the previously-seeded unit.
|
||||
mockMetricUnit('ms');
|
||||
rerender({ unit: 'bytes' });
|
||||
|
||||
expect(onSelectUnit).toHaveBeenLastCalledWith('ms');
|
||||
});
|
||||
|
||||
it('returns the resolved metric unit and loading state', () => {
|
||||
mockMetricUnit('bytes', true);
|
||||
|
||||
const { result } = renderHook(() =>
|
||||
useMetricYAxisUnit({
|
||||
isNewPanel: false,
|
||||
unit: undefined,
|
||||
onSelectUnit: jest.fn(),
|
||||
}),
|
||||
);
|
||||
|
||||
expect(result.current.metricUnit).toBe('bytes');
|
||||
expect(result.current.isLoading).toBe(true);
|
||||
});
|
||||
});
|
||||
@@ -1,36 +0,0 @@
|
||||
import { useEffect } from 'react';
|
||||
import useGetYAxisUnit from 'hooks/useGetYAxisUnit';
|
||||
|
||||
interface UseMetricYAxisUnitArgs {
|
||||
/** Only a new panel auto-seeds; editing never overwrites the saved unit. */
|
||||
isNewPanel: boolean;
|
||||
unit: string | undefined;
|
||||
onSelectUnit: (unit: string) => void;
|
||||
}
|
||||
|
||||
interface UseMetricYAxisUnitResult {
|
||||
metricUnit: string | undefined;
|
||||
isLoading: boolean;
|
||||
}
|
||||
|
||||
/**
|
||||
* Resolves the selected metric's unit and, on a new panel only, seeds the formatting unit
|
||||
* from it (V1 parity); returns the unit for the selector's mismatch warning.
|
||||
*/
|
||||
export function useMetricYAxisUnit({
|
||||
isNewPanel,
|
||||
unit,
|
||||
onSelectUnit,
|
||||
}: UseMetricYAxisUnitArgs): UseMetricYAxisUnitResult {
|
||||
const { yAxisUnit: metricUnit, isLoading } = useGetYAxisUnit();
|
||||
|
||||
useEffect(() => {
|
||||
if (isNewPanel && metricUnit && metricUnit !== unit) {
|
||||
onSelectUnit(metricUnit);
|
||||
}
|
||||
// Re-seed only when the resolved metric unit changes, not on every unit edit.
|
||||
// eslint-disable-next-line react-hooks/exhaustive-deps
|
||||
}, [isNewPanel, metricUnit]);
|
||||
|
||||
return { metricUnit, isLoading };
|
||||
}
|
||||
@@ -8,8 +8,6 @@ import {
|
||||
import { toast } from '@signozhq/ui/sonner';
|
||||
import {
|
||||
type DashboardtypesPanelDTO,
|
||||
type DashboardtypesPanelFormattingDTO,
|
||||
type DashboardtypesPanelSpecDTO,
|
||||
TelemetrytypesSignalDTO,
|
||||
} from 'api/generated/services/sigNoz.schemas';
|
||||
import { PANEL_TYPES } from 'constants/queryBuilder';
|
||||
@@ -32,7 +30,6 @@ import { useLegendSeries } from './hooks/useLegendSeries';
|
||||
import { usePanelQuery } from '../hooks/usePanelQuery';
|
||||
import { usePanelEditorDraft } from './hooks/usePanelEditorDraft';
|
||||
import { usePanelEditorQuerySync } from './hooks/usePanelEditorQuerySync';
|
||||
import { useMetricYAxisUnit } from './hooks/useMetricYAxisUnit';
|
||||
import { usePanelEditorSave } from './hooks/usePanelEditorSave';
|
||||
import { usePanelTypeSwitch } from './hooks/usePanelTypeSwitch';
|
||||
import { useSeedNewListColumns } from './hooks/useSeedNewListColumns';
|
||||
@@ -126,33 +123,6 @@ function PanelEditorContainer({
|
||||
// Switch the panel's visualization kind in place (reversible per session).
|
||||
const { onChangePanelKind } = usePanelTypeSwitch({ spec, panelType, setSpec });
|
||||
|
||||
// At editor level, not the collapsible FormattingSection, so seeding runs while closed.
|
||||
const formattingUnit = (
|
||||
spec.plugin.spec as {
|
||||
formatting?: DashboardtypesPanelFormattingDTO;
|
||||
}
|
||||
).formatting?.unit;
|
||||
const seedFormattingUnit = useCallback(
|
||||
(unit: string): void => {
|
||||
const pluginSpec = spec.plugin.spec as {
|
||||
formatting?: DashboardtypesPanelFormattingDTO;
|
||||
};
|
||||
setSpec({
|
||||
...spec,
|
||||
plugin: {
|
||||
...spec.plugin,
|
||||
spec: { ...pluginSpec, formatting: { ...pluginSpec.formatting, unit } },
|
||||
},
|
||||
} as DashboardtypesPanelSpecDTO);
|
||||
},
|
||||
[spec, setSpec],
|
||||
);
|
||||
const { metricUnit } = useMetricYAxisUnit({
|
||||
isNewPanel: isNew,
|
||||
unit: formattingUnit,
|
||||
onSelectUnit: seedFormattingUnit,
|
||||
});
|
||||
|
||||
// Spec and query dirtiness are tracked independently so query re-serialization
|
||||
// never false-dirties. A new panel is always savable (you're creating it).
|
||||
const isDirty = isNew || isSpecDirty || isQueryDirty;
|
||||
@@ -281,7 +251,6 @@ function PanelEditorContainer({
|
||||
legendSeries={legendSeries}
|
||||
tableColumns={tableColumns}
|
||||
stepInterval={stepInterval}
|
||||
metricUnit={metricUnit}
|
||||
/>
|
||||
</ResizablePanel>
|
||||
</ResizablePanelGroup>
|
||||
|
||||
@@ -1,130 +0,0 @@
|
||||
import type { PanelTable } from 'pages/DashboardPageV2/DashboardContainer/queryV5/types';
|
||||
|
||||
import { preparePieData } from '../prepareData';
|
||||
|
||||
function tableWith(
|
||||
columns: PanelTable['columns'],
|
||||
rows: PanelTable['rows'],
|
||||
overrides: Partial<PanelTable> = {},
|
||||
): PanelTable {
|
||||
return { queryName: 'A', legend: '', columns, rows, ...overrides };
|
||||
}
|
||||
|
||||
const args = (tables: PanelTable[]): Parameters<typeof preparePieData>[0] => ({
|
||||
tables,
|
||||
isDarkMode: true,
|
||||
});
|
||||
|
||||
describe('preparePieData', () => {
|
||||
it('renders a slice per value column for a multi-column ClickHouse scalar', () => {
|
||||
const table = tableWith(
|
||||
[
|
||||
{ name: 'col1', queryName: 'A', isValueColumn: true, id: 'col1' },
|
||||
{ name: 'col2', queryName: 'A', isValueColumn: true, id: 'col2' },
|
||||
],
|
||||
[{ data: { col1: 23399927, col2: 588691297 } }],
|
||||
);
|
||||
|
||||
const slices = preparePieData(args([table]));
|
||||
|
||||
expect(slices.map((s) => [s.label, s.value])).toStrictEqual([
|
||||
['col1', 23399927],
|
||||
['col2', 588691297],
|
||||
]);
|
||||
});
|
||||
|
||||
it('keeps one slice per group row for a single value column', () => {
|
||||
const table = tableWith(
|
||||
[
|
||||
{
|
||||
name: 'service.name',
|
||||
queryName: 'A',
|
||||
isValueColumn: false,
|
||||
id: 'service.name',
|
||||
},
|
||||
{ name: 'count', queryName: 'A', isValueColumn: true, id: 'A' },
|
||||
],
|
||||
[
|
||||
{ data: { 'service.name': 'adservice', A: 100 } },
|
||||
{ data: { 'service.name': 'cartservice', A: 200 } },
|
||||
],
|
||||
);
|
||||
|
||||
const slices = preparePieData(args([table]));
|
||||
|
||||
expect(slices.map((s) => [s.label, s.value])).toStrictEqual([
|
||||
['adservice', 100],
|
||||
['cartservice', 200],
|
||||
]);
|
||||
});
|
||||
|
||||
it('prefixes the group when multiple value columns are grouped', () => {
|
||||
const table = tableWith(
|
||||
[
|
||||
{ name: 'env', queryName: 'A', isValueColumn: false, id: 'env' },
|
||||
{ name: 'col1', queryName: 'A', isValueColumn: true, id: 'col1' },
|
||||
{ name: 'col2', queryName: 'A', isValueColumn: true, id: 'col2' },
|
||||
],
|
||||
[{ data: { env: 'prod', col1: 10, col2: 20 } }],
|
||||
);
|
||||
|
||||
const slices = preparePieData(args([table]));
|
||||
|
||||
expect(slices.map((s) => s.label)).toStrictEqual([
|
||||
'prod · col1',
|
||||
'prod · col2',
|
||||
]);
|
||||
});
|
||||
|
||||
it('falls back to legend/query name when a single value column has no group', () => {
|
||||
const table = tableWith(
|
||||
[{ name: 'count', queryName: 'A', isValueColumn: true, id: 'A' }],
|
||||
[{ data: { A: 42 } }],
|
||||
{ legend: 'requests' },
|
||||
);
|
||||
|
||||
const slices = preparePieData(args([table]));
|
||||
|
||||
expect(slices.map((s) => [s.label, s.value])).toStrictEqual([
|
||||
['requests', 42],
|
||||
]);
|
||||
});
|
||||
|
||||
it('honours customColors over the generated palette', () => {
|
||||
const table = tableWith(
|
||||
[
|
||||
{ name: 'col1', queryName: 'A', isValueColumn: true, id: 'col1' },
|
||||
{ name: 'col2', queryName: 'A', isValueColumn: true, id: 'col2' },
|
||||
],
|
||||
[{ data: { col1: 10, col2: 20 } }],
|
||||
);
|
||||
|
||||
const slices = preparePieData({
|
||||
tables: [table],
|
||||
isDarkMode: true,
|
||||
customColors: { col1: '#ff0000' },
|
||||
});
|
||||
|
||||
expect(slices[0].color).toBe('#ff0000');
|
||||
expect(slices[1].color).not.toBe('#ff0000');
|
||||
});
|
||||
|
||||
it('drops non-positive and non-numeric values', () => {
|
||||
const table = tableWith(
|
||||
[
|
||||
{ name: 'col1', queryName: 'A', isValueColumn: true, id: 'col1' },
|
||||
{ name: 'col2', queryName: 'A', isValueColumn: true, id: 'col2' },
|
||||
{ name: 'col3', queryName: 'A', isValueColumn: true, id: 'col3' },
|
||||
],
|
||||
[{ data: { col1: 5, col2: 0, col3: 'n/a' } }],
|
||||
);
|
||||
|
||||
const slices = preparePieData(args([table]));
|
||||
|
||||
expect(slices.map((s) => s.label)).toStrictEqual(['col1']);
|
||||
});
|
||||
|
||||
it('returns no slices for empty tables', () => {
|
||||
expect(preparePieData(args([]))).toStrictEqual([]);
|
||||
});
|
||||
});
|
||||
@@ -11,7 +11,11 @@ export interface PreparePieDataArgs {
|
||||
isDarkMode: boolean;
|
||||
}
|
||||
|
||||
/** One pie slice per (row × value column); column name labels slices when a query has several value columns. */
|
||||
/**
|
||||
* Turns the scalar tables of a V5 response into pie slices (one per group row):
|
||||
* value column → value, group column(s) → label. Colours honour `customColors`
|
||||
* then fall back to the deterministic palette; non-positive/non-numeric dropped.
|
||||
*/
|
||||
export function preparePieData({
|
||||
tables,
|
||||
customColors,
|
||||
@@ -23,35 +27,26 @@ export function preparePieData({
|
||||
|
||||
const slices: PieSlice[] = [];
|
||||
tables.forEach((table) => {
|
||||
const valueColumns = table.columns.filter((column) => column.isValueColumn);
|
||||
if (valueColumns.length === 0) {
|
||||
const valueColumn = table.columns.find((column) => column.isValueColumn);
|
||||
if (!valueColumn) {
|
||||
return;
|
||||
}
|
||||
const valueKey = valueColumn.id || valueColumn.name;
|
||||
const labelColumns = table.columns.filter((column) => !column.isValueColumn);
|
||||
const hasMultipleValueColumns = valueColumns.length > 1;
|
||||
|
||||
table.rows.forEach((row) => {
|
||||
const groupLabel = labelColumns
|
||||
.map((column) => row.data[column.id || column.name])
|
||||
.filter((part) => part != null)
|
||||
.map(String)
|
||||
.join(', ');
|
||||
|
||||
valueColumns.forEach((column) => {
|
||||
let label: string;
|
||||
if (hasMultipleValueColumns) {
|
||||
label = groupLabel ? `${groupLabel} · ${column.name}` : column.name;
|
||||
} else {
|
||||
label = groupLabel || table.legend || table.queryName || '';
|
||||
}
|
||||
|
||||
const color = customColors?.[label] ?? generateColor(label, colorMap);
|
||||
slices.push({
|
||||
label,
|
||||
value: Number(row.data[column.id || column.name]),
|
||||
color,
|
||||
});
|
||||
});
|
||||
const value = Number(row.data[valueKey]);
|
||||
const label =
|
||||
labelColumns
|
||||
.map((column) => row.data[column.id || column.name])
|
||||
.filter((part) => part != null)
|
||||
.map(String)
|
||||
.join(', ') ||
|
||||
table.legend ||
|
||||
table.queryName ||
|
||||
'';
|
||||
const color = customColors?.[label] ?? generateColor(label, colorMap);
|
||||
slices.push({ label, value, color });
|
||||
});
|
||||
});
|
||||
|
||||
|
||||
@@ -108,9 +108,7 @@ function addSeries({
|
||||
// `customColors` is nullable on the spec; coerce so `addSeries` always gets
|
||||
// a defined record (it dereferences keys without a guard).
|
||||
const colorMapping = spec.legend?.customColors ?? {};
|
||||
const spanGaps = chartAppearance?.spanGaps
|
||||
? resolveSpanGaps(chartAppearance?.spanGaps)
|
||||
: true;
|
||||
const spanGaps = resolveSpanGaps(chartAppearance?.spanGaps?.fillLessThan);
|
||||
|
||||
const lineStyle = chartAppearance?.lineStyle
|
||||
? LINE_STYLE_MAP[chartAppearance.lineStyle]
|
||||
|
||||
@@ -1,35 +1,22 @@
|
||||
import { resolveSpanGaps } from '../resolvers';
|
||||
|
||||
describe('resolveSpanGaps', () => {
|
||||
it('parses a duration string into seconds when thresholding', () => {
|
||||
expect(resolveSpanGaps({ fillOnlyBelow: true, fillLessThan: '5s' })).toBe(5);
|
||||
expect(resolveSpanGaps({ fillOnlyBelow: true, fillLessThan: '10m' })).toBe(
|
||||
600,
|
||||
);
|
||||
expect(resolveSpanGaps({ fillOnlyBelow: true, fillLessThan: '1h' })).toBe(
|
||||
3600,
|
||||
);
|
||||
it('spans all gaps (true) when unset', () => {
|
||||
expect(resolveSpanGaps(undefined)).toBe(true);
|
||||
expect(resolveSpanGaps('')).toBe(true);
|
||||
});
|
||||
|
||||
it('parses a duration string into seconds', () => {
|
||||
expect(resolveSpanGaps('5s')).toBe(5);
|
||||
expect(resolveSpanGaps('10m')).toBe(600);
|
||||
expect(resolveSpanGaps('1h')).toBe(3600);
|
||||
});
|
||||
|
||||
it('tolerates a bare seconds number (back-compat)', () => {
|
||||
expect(resolveSpanGaps({ fillOnlyBelow: true, fillLessThan: '600' })).toBe(
|
||||
600,
|
||||
);
|
||||
expect(resolveSpanGaps('600')).toBe(600);
|
||||
});
|
||||
|
||||
it('falls back to true for unparseable input', () => {
|
||||
expect(resolveSpanGaps({ fillOnlyBelow: true, fillLessThan: 'abc' })).toBe(
|
||||
true,
|
||||
);
|
||||
});
|
||||
|
||||
it('spans all gaps when fillOnlyBelow is explicitly false, ignoring any duration', () => {
|
||||
expect(resolveSpanGaps({ fillOnlyBelow: false, fillLessThan: '5m' })).toBe(
|
||||
true,
|
||||
);
|
||||
});
|
||||
|
||||
it('treats a duration with no fillOnlyBelow flag as a threshold (legacy panels)', () => {
|
||||
expect(resolveSpanGaps({ fillLessThan: '5m' })).toBe(300);
|
||||
expect(resolveSpanGaps('abc')).toBe(true);
|
||||
});
|
||||
});
|
||||
|
||||
@@ -2,7 +2,6 @@ import { rangeUtil } from '@grafana/data';
|
||||
import {
|
||||
DashboardtypesLegendPositionDTO,
|
||||
DashboardtypesPrecisionOptionDTO,
|
||||
type DashboardtypesSpanGapsDTO,
|
||||
} from 'api/generated/services/sigNoz.schemas';
|
||||
import { PrecisionOption, PrecisionOptionsEnum } from 'components/Graph/types';
|
||||
import { LegendPosition } from 'lib/uPlotV2/components/types';
|
||||
@@ -40,14 +39,15 @@ export function resolveDecimalPrecision(
|
||||
}
|
||||
|
||||
/**
|
||||
* Resolves `spanGaps` to uPlot's value. `fillOnlyBelow: false` spans every gap regardless
|
||||
* of `fillLessThan`; a duration with no flag still thresholds (panels predating the flag).
|
||||
* `spec.chartAppearance.spanGaps.fillLessThan` is a duration string on the wire
|
||||
* ("10m", "5s"). Empty/missing → span all gaps (default); otherwise forward the
|
||||
* threshold in seconds so uPlot only bridges short runs of nulls. Tolerates a
|
||||
* bare seconds number for back-compat.
|
||||
*/
|
||||
export function resolveSpanGaps(
|
||||
spanGaps: DashboardtypesSpanGapsDTO,
|
||||
fillLessThan: string | undefined,
|
||||
): boolean | number {
|
||||
const fillLessThan = spanGaps.fillLessThan;
|
||||
if (spanGaps.fillOnlyBelow === false || !fillLessThan) {
|
||||
if (!fillLessThan) {
|
||||
return true;
|
||||
}
|
||||
const seconds = rangeUtil.isValidTimeSpan(fillLessThan)
|
||||
|
||||
@@ -23,10 +23,9 @@
|
||||
"resolveJsonModule": true,
|
||||
"isolatedModules": true,
|
||||
"noEmit": true,
|
||||
"incremental": true,
|
||||
"tsBuildInfoFile": "./node_modules/.cache/ts/tsconfig.tsbuildinfo",
|
||||
"paths": {
|
||||
"*": [
|
||||
"./src/*"
|
||||
],
|
||||
"@constants/*": [
|
||||
"./src/container/OnboardingContainer/constants/*"
|
||||
],
|
||||
@@ -35,7 +34,32 @@
|
||||
],
|
||||
"test-mocks/*": [
|
||||
"./__mocks__/*"
|
||||
]
|
||||
],
|
||||
"api": ["./src/api"],
|
||||
"AppRoutes": ["./src/AppRoutes"],
|
||||
"ReactI18": ["./src/ReactI18"],
|
||||
"store": ["./src/store"],
|
||||
"styles.scss": ["./src/styles.scss"],
|
||||
"api/*": ["./src/api/*"],
|
||||
"AppRoutes/*": ["./src/AppRoutes/*"],
|
||||
"assets/*": ["./src/assets/*"],
|
||||
"components/*": ["./src/components/*"],
|
||||
"constants/*": ["./src/constants/*"],
|
||||
"container/*": ["./src/container/*"],
|
||||
"hooks/*": ["./src/hooks/*"],
|
||||
"lib/*": ["./src/lib/*"],
|
||||
"mocks-server/*": ["./src/mocks-server/*"],
|
||||
"modules/*": ["./src/modules/*"],
|
||||
"pages/*": ["./src/pages/*"],
|
||||
"parser/*": ["./src/parser/*"],
|
||||
"periscope/*": ["./src/periscope/*"],
|
||||
"providers/*": ["./src/providers/*"],
|
||||
"schemas/*": ["./src/schemas/*"],
|
||||
"store/*": ["./src/store/*"],
|
||||
"__tests__/*": ["./src/__tests__/*"],
|
||||
"tests/*": ["./src/tests/*"],
|
||||
"types/*": ["./src/types/*"],
|
||||
"utils/*": ["./src/utils/*"]
|
||||
},
|
||||
"plugins": [
|
||||
{
|
||||
@@ -52,18 +76,11 @@
|
||||
],
|
||||
"include": [
|
||||
"./src",
|
||||
"./src/**/*.ts",
|
||||
"src/**/*.tsx",
|
||||
"src/**/*.d.ts",
|
||||
"babel.config.cjs",
|
||||
"./jest.config.ts",
|
||||
"./__mocks__",
|
||||
"./conf/default.conf",
|
||||
"./public",
|
||||
"./commitlint.config.ts",
|
||||
"./vite.config.ts",
|
||||
"./babel.config.cjs",
|
||||
"./jest.config.ts",
|
||||
"./jest.setup.ts",
|
||||
"./tests/**.ts",
|
||||
"./**/*.d.ts"
|
||||
"./vite.config.ts",
|
||||
"./commitlint.config.ts"
|
||||
]
|
||||
}
|
||||
|
||||
@@ -1100,25 +1100,24 @@ func (m *module) fetchMetricsStatsWithSamples(
|
||||
reducedSumSB.Where(reducedSumSB.Between("unix_milli", req.Start, req.End))
|
||||
reducedSumSB.Where("NOT startsWith(metric_name, 'signoz')")
|
||||
|
||||
// separate query for reduced series counts
|
||||
reducedTsSB.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, telemetrymetrics.TimeseriesV4ReducedTableName))
|
||||
reducedTsSB.Where(reducedTsSB.Between("unix_milli", start, end))
|
||||
reducedTsSB.Where("NOT startsWith(metric_name, 'signoz')")
|
||||
reducedTsSB.GroupBy("metric_name")
|
||||
|
||||
if filterWhereClause != nil {
|
||||
reducedTsSB.AddWhereClause(sqlbuilder.CopyWhereClause(filterWhereClause))
|
||||
|
||||
// samples uses a separate cte with local table
|
||||
if filterWhereClause == nil {
|
||||
reducedTsSB.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, telemetrymetrics.TimeseriesV4ReducedTableName))
|
||||
reducedTsSB.Where(reducedTsSB.Between("unix_milli", start, end))
|
||||
reducedTsSB.Where("NOT startsWith(metric_name, 'signoz')")
|
||||
reducedTsSB.GroupBy("metric_name")
|
||||
} else {
|
||||
reducedFpSB := sqlbuilder.NewSelectBuilder()
|
||||
reducedFpSB.Select("fingerprint")
|
||||
reducedFpSB.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, telemetrymetrics.TimeseriesV4ReducedLocalTableName))
|
||||
reducedFpSB.Select("metric_name", "fingerprint")
|
||||
reducedFpSB.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, telemetrymetrics.TimeseriesV4ReducedTableName))
|
||||
reducedFpSB.Where(reducedFpSB.Between("unix_milli", start, end))
|
||||
reducedFpSB.Where("NOT startsWith(metric_name, 'signoz')")
|
||||
reducedFpSB.AddWhereClause(sqlbuilder.CopyWhereClause(filterWhereClause))
|
||||
reducedFpSB.GroupBy("fingerprint")
|
||||
reducedFpSB.GroupBy("metric_name", "fingerprint")
|
||||
ctes = append(ctes, sqlbuilder.CTEQuery("__reduced_filtered_fingerprints").As(reducedFpSB))
|
||||
|
||||
reducedTsSB.From("__reduced_filtered_fingerprints")
|
||||
reducedTsSB.GroupBy("metric_name")
|
||||
|
||||
reducedLastSB.Where("reduced_fingerprint IN (SELECT fingerprint FROM __reduced_filtered_fingerprints)")
|
||||
reducedSumSB.Where("reduced_fingerprint IN (SELECT fingerprint FROM __reduced_filtered_fingerprints)")
|
||||
}
|
||||
@@ -1423,7 +1422,7 @@ func (m *module) computeSamplesTreemap(ctx context.Context, orgID valuer.UUID, r
|
||||
if reductionEnabled {
|
||||
reducedFingerprintSB := sqlbuilder.NewSelectBuilder()
|
||||
reducedFingerprintSB.Select("fingerprint")
|
||||
reducedFingerprintSB.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, telemetrymetrics.TimeseriesV4ReducedLocalTableName))
|
||||
reducedFingerprintSB.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, telemetrymetrics.TimeseriesV4ReducedTableName))
|
||||
reducedFingerprintSB.Where(reducedFingerprintSB.Between("unix_milli", start, end))
|
||||
reducedFingerprintSB.Where("NOT startsWith(metric_name, 'signoz')")
|
||||
reducedFingerprintSB.AddWhereClause(sqlbuilder.CopyWhereClause(filterWhereClause))
|
||||
|
||||
@@ -32,11 +32,11 @@ const (
|
||||
testEndMillis int64 = 1700003600000 // +1h
|
||||
statsNoFilterSQL = "WITH __time_series_counts AS (SELECT metric_name, uniq(fingerprint) AS timeseries FROM signoz_metrics.distributed_time_series_v4 WHERE unix_milli BETWEEN ? AND ? AND NOT startsWith(metric_name, 'signoz') GROUP BY metric_name), __sample_counts AS (SELECT metric_name, count(*) AS samples FROM signoz_metrics.distributed_samples_v4 WHERE unix_milli BETWEEN ? AND ? AND NOT startsWith(metric_name, 'signoz') AND metric_name IN (SELECT DISTINCT metric_name FROM signoz_metrics.time_series_v4 WHERE unix_milli BETWEEN ? AND ? AND NOT startsWith(metric_name, 'signoz')) GROUP BY metric_name), __reduced_time_series_counts AS (SELECT metric_name, uniq(fingerprint) AS timeseries FROM signoz_metrics.distributed_time_series_v4_reduced WHERE unix_milli BETWEEN ? AND ? AND NOT startsWith(metric_name, 'signoz') GROUP BY metric_name), __reduced_sample_counts AS (SELECT metric_name, sum(cnt) AS samples FROM ((SELECT metric_name, uniq(reduced_fingerprint, unix_milli) AS cnt FROM signoz_metrics.distributed_samples_v4_reduced_last_60s WHERE unix_milli BETWEEN ? AND ? AND NOT startsWith(metric_name, 'signoz') GROUP BY metric_name) UNION ALL (SELECT metric_name, uniq(reduced_fingerprint, unix_milli) AS cnt FROM signoz_metrics.distributed_samples_v4_reduced_sum_60s WHERE unix_milli BETWEEN ? AND ? AND NOT startsWith(metric_name, 'signoz') GROUP BY metric_name)) AS reduced_samples GROUP BY metric_name) SELECT COALESCE(ts.metric_name, rts.metric_name, s.metric_name, rs.metric_name) AS metric_name, COALESCE(ts.timeseries, 0) + COALESCE(rts.timeseries, 0) AS timeseries, COALESCE(s.samples, 0) + COALESCE(rs.samples, 0) AS samples, COUNT(*) OVER() AS total FROM __time_series_counts ts FULL OUTER JOIN __reduced_time_series_counts rts ON ts.metric_name = rts.metric_name FULL OUTER JOIN __sample_counts s ON COALESCE(ts.metric_name, rts.metric_name) = s.metric_name FULL OUTER JOIN __reduced_sample_counts rs ON COALESCE(ts.metric_name, rts.metric_name, s.metric_name) = rs.metric_name WHERE (COALESCE(ts.timeseries, 0) + COALESCE(rts.timeseries, 0) > 0 OR COALESCE(s.samples, 0) + COALESCE(rs.samples, 0) > 0) ORDER BY samples DESC, metric_name ASC LIMIT ? OFFSET ? SETTINGS join_use_nulls = 1"
|
||||
statsOrderTimeseriesSQL = "WITH __time_series_counts AS (SELECT metric_name, uniq(fingerprint) AS timeseries FROM signoz_metrics.distributed_time_series_v4 WHERE unix_milli BETWEEN ? AND ? AND NOT startsWith(metric_name, 'signoz') GROUP BY metric_name), __sample_counts AS (SELECT metric_name, count(*) AS samples FROM signoz_metrics.distributed_samples_v4 WHERE unix_milli BETWEEN ? AND ? AND NOT startsWith(metric_name, 'signoz') AND metric_name IN (SELECT DISTINCT metric_name FROM signoz_metrics.time_series_v4 WHERE unix_milli BETWEEN ? AND ? AND NOT startsWith(metric_name, 'signoz')) GROUP BY metric_name), __reduced_time_series_counts AS (SELECT metric_name, uniq(fingerprint) AS timeseries FROM signoz_metrics.distributed_time_series_v4_reduced WHERE unix_milli BETWEEN ? AND ? AND NOT startsWith(metric_name, 'signoz') GROUP BY metric_name), __reduced_sample_counts AS (SELECT metric_name, sum(cnt) AS samples FROM ((SELECT metric_name, uniq(reduced_fingerprint, unix_milli) AS cnt FROM signoz_metrics.distributed_samples_v4_reduced_last_60s WHERE unix_milli BETWEEN ? AND ? AND NOT startsWith(metric_name, 'signoz') GROUP BY metric_name) UNION ALL (SELECT metric_name, uniq(reduced_fingerprint, unix_milli) AS cnt FROM signoz_metrics.distributed_samples_v4_reduced_sum_60s WHERE unix_milli BETWEEN ? AND ? AND NOT startsWith(metric_name, 'signoz') GROUP BY metric_name)) AS reduced_samples GROUP BY metric_name) SELECT COALESCE(ts.metric_name, rts.metric_name, s.metric_name, rs.metric_name) AS metric_name, COALESCE(ts.timeseries, 0) + COALESCE(rts.timeseries, 0) AS timeseries, COALESCE(s.samples, 0) + COALESCE(rs.samples, 0) AS samples, COUNT(*) OVER() AS total FROM __time_series_counts ts FULL OUTER JOIN __reduced_time_series_counts rts ON ts.metric_name = rts.metric_name FULL OUTER JOIN __sample_counts s ON COALESCE(ts.metric_name, rts.metric_name) = s.metric_name FULL OUTER JOIN __reduced_sample_counts rs ON COALESCE(ts.metric_name, rts.metric_name, s.metric_name) = rs.metric_name WHERE (COALESCE(ts.timeseries, 0) + COALESCE(rts.timeseries, 0) > 0 OR COALESCE(s.samples, 0) + COALESCE(rs.samples, 0) > 0) ORDER BY timeseries ASC, metric_name ASC LIMIT ? OFFSET ? SETTINGS join_use_nulls = 1"
|
||||
statsWithFilterSQL = "WITH __time_series_counts AS (SELECT metric_name, uniq(fingerprint) AS timeseries FROM signoz_metrics.distributed_time_series_v4 WHERE unix_milli BETWEEN ? AND ? AND NOT startsWith(metric_name, 'signoz') AND JSONExtractString(labels, 'host.name') = ? GROUP BY metric_name), __filtered_fingerprints AS (SELECT fingerprint FROM signoz_metrics.time_series_v4 WHERE unix_milli BETWEEN ? AND ? AND NOT startsWith(metric_name, 'signoz') AND JSONExtractString(labels, 'host.name') = ? GROUP BY fingerprint), __sample_counts AS (SELECT metric_name, count(*) AS samples FROM signoz_metrics.distributed_samples_v4 WHERE unix_milli BETWEEN ? AND ? AND NOT startsWith(metric_name, 'signoz') AND fingerprint IN (SELECT fingerprint FROM __filtered_fingerprints) GROUP BY metric_name), __reduced_filtered_fingerprints AS (SELECT fingerprint FROM signoz_metrics.time_series_v4_reduced WHERE unix_milli BETWEEN ? AND ? AND NOT startsWith(metric_name, 'signoz') AND JSONExtractString(labels, 'host.name') = ? GROUP BY fingerprint), __reduced_time_series_counts AS (SELECT metric_name, uniq(fingerprint) AS timeseries FROM signoz_metrics.distributed_time_series_v4_reduced WHERE unix_milli BETWEEN ? AND ? AND NOT startsWith(metric_name, 'signoz') AND JSONExtractString(labels, 'host.name') = ? GROUP BY metric_name), __reduced_sample_counts AS (SELECT metric_name, sum(cnt) AS samples FROM ((SELECT metric_name, uniq(reduced_fingerprint, unix_milli) AS cnt FROM signoz_metrics.distributed_samples_v4_reduced_last_60s WHERE unix_milli BETWEEN ? AND ? AND NOT startsWith(metric_name, 'signoz') AND reduced_fingerprint IN (SELECT fingerprint FROM __reduced_filtered_fingerprints) GROUP BY metric_name) UNION ALL (SELECT metric_name, uniq(reduced_fingerprint, unix_milli) AS cnt FROM signoz_metrics.distributed_samples_v4_reduced_sum_60s WHERE unix_milli BETWEEN ? AND ? AND NOT startsWith(metric_name, 'signoz') AND reduced_fingerprint IN (SELECT fingerprint FROM __reduced_filtered_fingerprints) GROUP BY metric_name)) AS reduced_samples GROUP BY metric_name) SELECT COALESCE(ts.metric_name, rts.metric_name, s.metric_name, rs.metric_name) AS metric_name, COALESCE(ts.timeseries, 0) + COALESCE(rts.timeseries, 0) AS timeseries, COALESCE(s.samples, 0) + COALESCE(rs.samples, 0) AS samples, COUNT(*) OVER() AS total FROM __time_series_counts ts FULL OUTER JOIN __reduced_time_series_counts rts ON ts.metric_name = rts.metric_name FULL OUTER JOIN __sample_counts s ON COALESCE(ts.metric_name, rts.metric_name) = s.metric_name FULL OUTER JOIN __reduced_sample_counts rs ON COALESCE(ts.metric_name, rts.metric_name, s.metric_name) = rs.metric_name WHERE (COALESCE(ts.timeseries, 0) + COALESCE(rts.timeseries, 0) > 0 OR COALESCE(s.samples, 0) + COALESCE(rs.samples, 0) > 0) ORDER BY samples DESC, metric_name ASC LIMIT ? OFFSET ? SETTINGS join_use_nulls = 1"
|
||||
statsWithFilterSQL = "WITH __time_series_counts AS (SELECT metric_name, uniq(fingerprint) AS timeseries FROM signoz_metrics.distributed_time_series_v4 WHERE unix_milli BETWEEN ? AND ? AND NOT startsWith(metric_name, 'signoz') AND JSONExtractString(labels, 'host.name') = ? GROUP BY metric_name), __filtered_fingerprints AS (SELECT fingerprint FROM signoz_metrics.time_series_v4 WHERE unix_milli BETWEEN ? AND ? AND NOT startsWith(metric_name, 'signoz') AND JSONExtractString(labels, 'host.name') = ? GROUP BY fingerprint), __sample_counts AS (SELECT metric_name, count(*) AS samples FROM signoz_metrics.distributed_samples_v4 WHERE unix_milli BETWEEN ? AND ? AND NOT startsWith(metric_name, 'signoz') AND fingerprint IN (SELECT fingerprint FROM __filtered_fingerprints) GROUP BY metric_name), __reduced_filtered_fingerprints AS (SELECT metric_name, fingerprint FROM signoz_metrics.distributed_time_series_v4_reduced WHERE unix_milli BETWEEN ? AND ? AND NOT startsWith(metric_name, 'signoz') AND JSONExtractString(labels, 'host.name') = ? GROUP BY metric_name, fingerprint), __reduced_time_series_counts AS (SELECT metric_name, uniq(fingerprint) AS timeseries FROM __reduced_filtered_fingerprints GROUP BY metric_name), __reduced_sample_counts AS (SELECT metric_name, sum(cnt) AS samples FROM ((SELECT metric_name, uniq(reduced_fingerprint, unix_milli) AS cnt FROM signoz_metrics.distributed_samples_v4_reduced_last_60s WHERE unix_milli BETWEEN ? AND ? AND NOT startsWith(metric_name, 'signoz') AND reduced_fingerprint IN (SELECT fingerprint FROM __reduced_filtered_fingerprints) GROUP BY metric_name) UNION ALL (SELECT metric_name, uniq(reduced_fingerprint, unix_milli) AS cnt FROM signoz_metrics.distributed_samples_v4_reduced_sum_60s WHERE unix_milli BETWEEN ? AND ? AND NOT startsWith(metric_name, 'signoz') AND reduced_fingerprint IN (SELECT fingerprint FROM __reduced_filtered_fingerprints) GROUP BY metric_name)) AS reduced_samples GROUP BY metric_name) SELECT COALESCE(ts.metric_name, rts.metric_name, s.metric_name, rs.metric_name) AS metric_name, COALESCE(ts.timeseries, 0) + COALESCE(rts.timeseries, 0) AS timeseries, COALESCE(s.samples, 0) + COALESCE(rs.samples, 0) AS samples, COUNT(*) OVER() AS total FROM __time_series_counts ts FULL OUTER JOIN __reduced_time_series_counts rts ON ts.metric_name = rts.metric_name FULL OUTER JOIN __sample_counts s ON COALESCE(ts.metric_name, rts.metric_name) = s.metric_name FULL OUTER JOIN __reduced_sample_counts rs ON COALESCE(ts.metric_name, rts.metric_name, s.metric_name) = rs.metric_name WHERE (COALESCE(ts.timeseries, 0) + COALESCE(rts.timeseries, 0) > 0 OR COALESCE(s.samples, 0) + COALESCE(rs.samples, 0) > 0) ORDER BY samples DESC, metric_name ASC LIMIT ? OFFSET ? SETTINGS join_use_nulls = 1"
|
||||
treemapTimeseriesNoFilterSQL = "WITH __total_time_series AS (SELECT uniq(fingerprint) AS total_time_series FROM signoz_metrics.distributed_time_series_v4 WHERE unix_milli BETWEEN ? AND ?), __metric_totals AS (SELECT metric_name, uniq(fingerprint) AS total_value FROM signoz_metrics.distributed_time_series_v4 WHERE unix_milli BETWEEN ? AND ? AND NOT startsWith(metric_name, 'signoz') GROUP BY metric_name), __reduced_total_time_series AS (SELECT uniq(fingerprint) AS total_time_series FROM signoz_metrics.distributed_time_series_v4_reduced WHERE unix_milli BETWEEN ? AND ?), __reduced_metric_totals AS (SELECT metric_name, uniq(fingerprint) AS total_value FROM signoz_metrics.distributed_time_series_v4_reduced WHERE unix_milli BETWEEN ? AND ? AND NOT startsWith(metric_name, 'signoz') GROUP BY metric_name) SELECT COALESCE(mt.metric_name, rmt.metric_name) AS metric_name, COALESCE(mt.total_value, 0) + COALESCE(rmt.total_value, 0) AS total_value, CASE WHEN (tts.total_time_series + rtts.total_time_series) = 0 THEN 0 ELSE ((COALESCE(mt.total_value, 0) + COALESCE(rmt.total_value, 0)) * 100.0 / (tts.total_time_series + rtts.total_time_series)) END AS percentage FROM __metric_totals mt FULL OUTER JOIN __reduced_metric_totals rmt ON mt.metric_name = rmt.metric_name JOIN __total_time_series tts ON 1=1 JOIN __reduced_total_time_series rtts ON 1=1 ORDER BY percentage DESC LIMIT ? SETTINGS join_use_nulls = 1"
|
||||
treemapTimeseriesWithFilterSQL = "WITH __total_time_series AS (SELECT uniq(fingerprint) AS total_time_series FROM signoz_metrics.distributed_time_series_v4 WHERE unix_milli BETWEEN ? AND ?), __metric_totals AS (SELECT metric_name, uniq(fingerprint) AS total_value FROM signoz_metrics.distributed_time_series_v4 WHERE unix_milli BETWEEN ? AND ? AND NOT startsWith(metric_name, 'signoz') AND JSONExtractString(labels, 'host.name') = ? GROUP BY metric_name), __reduced_total_time_series AS (SELECT uniq(fingerprint) AS total_time_series FROM signoz_metrics.distributed_time_series_v4_reduced WHERE unix_milli BETWEEN ? AND ?), __reduced_metric_totals AS (SELECT metric_name, uniq(fingerprint) AS total_value FROM signoz_metrics.distributed_time_series_v4_reduced WHERE unix_milli BETWEEN ? AND ? AND NOT startsWith(metric_name, 'signoz') AND JSONExtractString(labels, 'host.name') = ? GROUP BY metric_name) SELECT COALESCE(mt.metric_name, rmt.metric_name) AS metric_name, COALESCE(mt.total_value, 0) + COALESCE(rmt.total_value, 0) AS total_value, CASE WHEN (tts.total_time_series + rtts.total_time_series) = 0 THEN 0 ELSE ((COALESCE(mt.total_value, 0) + COALESCE(rmt.total_value, 0)) * 100.0 / (tts.total_time_series + rtts.total_time_series)) END AS percentage FROM __metric_totals mt FULL OUTER JOIN __reduced_metric_totals rmt ON mt.metric_name = rmt.metric_name JOIN __total_time_series tts ON 1=1 JOIN __reduced_total_time_series rtts ON 1=1 ORDER BY percentage DESC LIMIT ? SETTINGS join_use_nulls = 1"
|
||||
treemapSamplesNoFilterSQL = "WITH __metric_candidates AS (SELECT metric_name FROM signoz_metrics.distributed_time_series_v4 WHERE NOT startsWith(metric_name, 'signoz') AND unix_milli BETWEEN ? AND ? GROUP BY metric_name ORDER BY uniq(fingerprint) DESC LIMIT ?), __reduced_metric_candidates AS (SELECT metric_name FROM signoz_metrics.distributed_time_series_v4_reduced WHERE NOT startsWith(metric_name, 'signoz') AND unix_milli BETWEEN ? AND ? GROUP BY metric_name ORDER BY uniq(fingerprint) DESC LIMIT ?), __sample_counts AS (SELECT metric_name, count(*) AS samples FROM signoz_metrics.distributed_samples_v4 WHERE unix_milli BETWEEN ? AND ? AND metric_name GLOBAL IN (SELECT metric_name FROM __metric_candidates) GROUP BY metric_name), __reduced_sample_counts AS (SELECT metric_name, sum(cnt) AS samples FROM ((SELECT metric_name, uniq(reduced_fingerprint, unix_milli) AS cnt FROM signoz_metrics.distributed_samples_v4_reduced_last_60s WHERE unix_milli BETWEEN ? AND ? AND metric_name GLOBAL IN (SELECT metric_name FROM __reduced_metric_candidates) GROUP BY metric_name) UNION ALL (SELECT metric_name, uniq(reduced_fingerprint, unix_milli) AS cnt FROM signoz_metrics.distributed_samples_v4_reduced_sum_60s WHERE unix_milli BETWEEN ? AND ? AND metric_name GLOBAL IN (SELECT metric_name FROM __reduced_metric_candidates) GROUP BY metric_name)) AS reduced_samples GROUP BY metric_name), __total_samples AS (SELECT count(*) AS total_samples FROM signoz_metrics.distributed_samples_v4 WHERE unix_milli BETWEEN ? AND ?), __reduced_total_samples AS (SELECT sum(cnt) AS total_samples FROM ((SELECT uniq(reduced_fingerprint, unix_milli) AS cnt FROM signoz_metrics.distributed_samples_v4_reduced_last_60s WHERE unix_milli BETWEEN ? AND ?) UNION ALL (SELECT uniq(reduced_fingerprint, unix_milli) AS cnt FROM signoz_metrics.distributed_samples_v4_reduced_sum_60s WHERE unix_milli BETWEEN ? AND ?)) AS reduced_total), __all_candidates AS (SELECT DISTINCT metric_name FROM ((SELECT metric_name FROM __metric_candidates) UNION ALL (SELECT metric_name FROM __reduced_metric_candidates)) AS candidates) SELECT ac.metric_name, COALESCE(sc.samples, 0) + COALESCE(rsc.samples, 0) AS samples, CASE WHEN (ts.total_samples + rts.total_samples) = 0 THEN 0 ELSE ((COALESCE(sc.samples, 0) + COALESCE(rsc.samples, 0)) * 100.0 / (ts.total_samples + rts.total_samples)) END AS percentage FROM __all_candidates ac LEFT JOIN __sample_counts sc ON ac.metric_name = sc.metric_name LEFT JOIN __reduced_sample_counts rsc ON ac.metric_name = rsc.metric_name JOIN __total_samples ts ON 1=1 JOIN __reduced_total_samples rts ON 1=1 ORDER BY percentage DESC LIMIT ? SETTINGS join_use_nulls = 1"
|
||||
treemapSamplesWithFilterSQL = "WITH __metric_candidates AS (SELECT metric_name FROM signoz_metrics.distributed_time_series_v4 WHERE NOT startsWith(metric_name, 'signoz') AND unix_milli BETWEEN ? AND ? AND JSONExtractString(labels, 'host.name') = ? GROUP BY metric_name ORDER BY uniq(fingerprint) DESC LIMIT ?), __reduced_metric_candidates AS (SELECT metric_name FROM signoz_metrics.distributed_time_series_v4_reduced WHERE NOT startsWith(metric_name, 'signoz') AND unix_milli BETWEEN ? AND ? AND JSONExtractString(labels, 'host.name') = ? GROUP BY metric_name ORDER BY uniq(fingerprint) DESC LIMIT ?), __filtered_fingerprints AS (SELECT fingerprint FROM signoz_metrics.time_series_v4 WHERE unix_milli BETWEEN ? AND ? AND NOT startsWith(metric_name, 'signoz') AND JSONExtractString(labels, 'host.name') = ? AND metric_name GLOBAL IN (SELECT metric_name FROM __metric_candidates) GROUP BY fingerprint), __reduced_filtered_fingerprints AS (SELECT fingerprint FROM signoz_metrics.time_series_v4_reduced WHERE unix_milli BETWEEN ? AND ? AND NOT startsWith(metric_name, 'signoz') AND JSONExtractString(labels, 'host.name') = ? AND metric_name GLOBAL IN (SELECT metric_name FROM __reduced_metric_candidates) GROUP BY fingerprint), __sample_counts AS (SELECT metric_name, count(*) AS samples FROM signoz_metrics.distributed_samples_v4 WHERE unix_milli BETWEEN ? AND ? AND metric_name GLOBAL IN (SELECT metric_name FROM __metric_candidates) AND fingerprint IN (SELECT fingerprint FROM __filtered_fingerprints) GROUP BY metric_name), __reduced_sample_counts AS (SELECT metric_name, sum(cnt) AS samples FROM ((SELECT metric_name, uniq(reduced_fingerprint, unix_milli) AS cnt FROM signoz_metrics.distributed_samples_v4_reduced_last_60s WHERE unix_milli BETWEEN ? AND ? AND metric_name GLOBAL IN (SELECT metric_name FROM __reduced_metric_candidates) AND reduced_fingerprint IN (SELECT fingerprint FROM __reduced_filtered_fingerprints) GROUP BY metric_name) UNION ALL (SELECT metric_name, uniq(reduced_fingerprint, unix_milli) AS cnt FROM signoz_metrics.distributed_samples_v4_reduced_sum_60s WHERE unix_milli BETWEEN ? AND ? AND metric_name GLOBAL IN (SELECT metric_name FROM __reduced_metric_candidates) AND reduced_fingerprint IN (SELECT fingerprint FROM __reduced_filtered_fingerprints) GROUP BY metric_name)) AS reduced_samples GROUP BY metric_name), __total_samples AS (SELECT count(*) AS total_samples FROM signoz_metrics.distributed_samples_v4 WHERE unix_milli BETWEEN ? AND ?), __reduced_total_samples AS (SELECT sum(cnt) AS total_samples FROM ((SELECT uniq(reduced_fingerprint, unix_milli) AS cnt FROM signoz_metrics.distributed_samples_v4_reduced_last_60s WHERE unix_milli BETWEEN ? AND ?) UNION ALL (SELECT uniq(reduced_fingerprint, unix_milli) AS cnt FROM signoz_metrics.distributed_samples_v4_reduced_sum_60s WHERE unix_milli BETWEEN ? AND ?)) AS reduced_total), __all_candidates AS (SELECT DISTINCT metric_name FROM ((SELECT metric_name FROM __metric_candidates) UNION ALL (SELECT metric_name FROM __reduced_metric_candidates)) AS candidates) SELECT ac.metric_name, COALESCE(sc.samples, 0) + COALESCE(rsc.samples, 0) AS samples, CASE WHEN (ts.total_samples + rts.total_samples) = 0 THEN 0 ELSE ((COALESCE(sc.samples, 0) + COALESCE(rsc.samples, 0)) * 100.0 / (ts.total_samples + rts.total_samples)) END AS percentage FROM __all_candidates ac LEFT JOIN __sample_counts sc ON ac.metric_name = sc.metric_name LEFT JOIN __reduced_sample_counts rsc ON ac.metric_name = rsc.metric_name JOIN __total_samples ts ON 1=1 JOIN __reduced_total_samples rts ON 1=1 ORDER BY percentage DESC LIMIT ? SETTINGS join_use_nulls = 1"
|
||||
treemapSamplesWithFilterSQL = "WITH __metric_candidates AS (SELECT metric_name FROM signoz_metrics.distributed_time_series_v4 WHERE NOT startsWith(metric_name, 'signoz') AND unix_milli BETWEEN ? AND ? AND JSONExtractString(labels, 'host.name') = ? GROUP BY metric_name ORDER BY uniq(fingerprint) DESC LIMIT ?), __reduced_metric_candidates AS (SELECT metric_name FROM signoz_metrics.distributed_time_series_v4_reduced WHERE NOT startsWith(metric_name, 'signoz') AND unix_milli BETWEEN ? AND ? AND JSONExtractString(labels, 'host.name') = ? GROUP BY metric_name ORDER BY uniq(fingerprint) DESC LIMIT ?), __filtered_fingerprints AS (SELECT fingerprint FROM signoz_metrics.time_series_v4 WHERE unix_milli BETWEEN ? AND ? AND NOT startsWith(metric_name, 'signoz') AND JSONExtractString(labels, 'host.name') = ? AND metric_name GLOBAL IN (SELECT metric_name FROM __metric_candidates) GROUP BY fingerprint), __reduced_filtered_fingerprints AS (SELECT fingerprint FROM signoz_metrics.distributed_time_series_v4_reduced WHERE unix_milli BETWEEN ? AND ? AND NOT startsWith(metric_name, 'signoz') AND JSONExtractString(labels, 'host.name') = ? AND metric_name GLOBAL IN (SELECT metric_name FROM __reduced_metric_candidates) GROUP BY fingerprint), __sample_counts AS (SELECT metric_name, count(*) AS samples FROM signoz_metrics.distributed_samples_v4 WHERE unix_milli BETWEEN ? AND ? AND metric_name GLOBAL IN (SELECT metric_name FROM __metric_candidates) AND fingerprint IN (SELECT fingerprint FROM __filtered_fingerprints) GROUP BY metric_name), __reduced_sample_counts AS (SELECT metric_name, sum(cnt) AS samples FROM ((SELECT metric_name, uniq(reduced_fingerprint, unix_milli) AS cnt FROM signoz_metrics.distributed_samples_v4_reduced_last_60s WHERE unix_milli BETWEEN ? AND ? AND metric_name GLOBAL IN (SELECT metric_name FROM __reduced_metric_candidates) AND reduced_fingerprint IN (SELECT fingerprint FROM __reduced_filtered_fingerprints) GROUP BY metric_name) UNION ALL (SELECT metric_name, uniq(reduced_fingerprint, unix_milli) AS cnt FROM signoz_metrics.distributed_samples_v4_reduced_sum_60s WHERE unix_milli BETWEEN ? AND ? AND metric_name GLOBAL IN (SELECT metric_name FROM __reduced_metric_candidates) AND reduced_fingerprint IN (SELECT fingerprint FROM __reduced_filtered_fingerprints) GROUP BY metric_name)) AS reduced_samples GROUP BY metric_name), __total_samples AS (SELECT count(*) AS total_samples FROM signoz_metrics.distributed_samples_v4 WHERE unix_milli BETWEEN ? AND ?), __reduced_total_samples AS (SELECT sum(cnt) AS total_samples FROM ((SELECT uniq(reduced_fingerprint, unix_milli) AS cnt FROM signoz_metrics.distributed_samples_v4_reduced_last_60s WHERE unix_milli BETWEEN ? AND ?) UNION ALL (SELECT uniq(reduced_fingerprint, unix_milli) AS cnt FROM signoz_metrics.distributed_samples_v4_reduced_sum_60s WHERE unix_milli BETWEEN ? AND ?)) AS reduced_total), __all_candidates AS (SELECT DISTINCT metric_name FROM ((SELECT metric_name FROM __metric_candidates) UNION ALL (SELECT metric_name FROM __reduced_metric_candidates)) AS candidates) SELECT ac.metric_name, COALESCE(sc.samples, 0) + COALESCE(rsc.samples, 0) AS samples, CASE WHEN (ts.total_samples + rts.total_samples) = 0 THEN 0 ELSE ((COALESCE(sc.samples, 0) + COALESCE(rsc.samples, 0)) * 100.0 / (ts.total_samples + rts.total_samples)) END AS percentage FROM __all_candidates ac LEFT JOIN __sample_counts sc ON ac.metric_name = sc.metric_name LEFT JOIN __reduced_sample_counts rsc ON ac.metric_name = rsc.metric_name JOIN __total_samples ts ON 1=1 JOIN __reduced_total_samples rts ON 1=1 ORDER BY percentage DESC LIMIT ? SETTINGS join_use_nulls = 1"
|
||||
|
||||
// Raw-only SQL produced when the metrics-reduction feature flag is OFF. These
|
||||
// must stay byte-for-byte identical to the pre-reduction queries.
|
||||
@@ -193,7 +193,7 @@ func TestGetStats(t *testing.T) {
|
||||
}{
|
||||
{name: "NoFilter_FastPathSQL", expectSQL: statsNoFilterSQL, argCount: 14, reductionEnabled: true},
|
||||
{name: "WhitespaceFilter_FastPathSQL", opts: []statsOpt{withStatsFilter(" ")}, expectSQL: statsNoFilterSQL, argCount: 14, reductionEnabled: true},
|
||||
{name: "WithFilter_FingerprintSQL", opts: []statsOpt{withStatsFilter("host.name = 'foo'")}, seedKey: "host.name", expectSQL: statsWithFilterSQL, argCount: 20, reductionEnabled: true},
|
||||
{name: "WithFilter_FingerprintSQL", opts: []statsOpt{withStatsFilter("host.name = 'foo'")}, seedKey: "host.name", expectSQL: statsWithFilterSQL, argCount: 17, reductionEnabled: true},
|
||||
{name: "OrderByTimeseriesAsc", opts: []statsOpt{withStatsOrderBy("timeseries", qbtypes.OrderDirectionAsc)}, expectSQL: statsOrderTimeseriesSQL, argCount: 14, reductionEnabled: true},
|
||||
{name: "OrderByInvalid", opts: []statsOpt{withStatsOrderBy("nonsense", qbtypes.OrderDirectionAsc)}, noQuery: true, wantCode: errors.CodeInvalidInput},
|
||||
{name: "QueryError", queryErr: assert.AnError, expectSQL: statsNoFilterSQL, argCount: 14, reductionEnabled: true, wantCode: errors.CodeInternal},
|
||||
|
||||
@@ -39,7 +39,7 @@ func TestReducedStatementBuilder(t *testing.T) {
|
||||
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.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",
|
||||
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},
|
||||
},
|
||||
},
|
||||
@@ -47,7 +47,7 @@ func TestReducedStatementBuilder(t *testing.T) {
|
||||
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.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",
|
||||
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},
|
||||
},
|
||||
},
|
||||
@@ -55,7 +55,7 @@ func TestReducedStatementBuilder(t *testing.T) {
|
||||
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.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",
|
||||
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},
|
||||
},
|
||||
},
|
||||
@@ -63,7 +63,7 @@ func TestReducedStatementBuilder(t *testing.T) {
|
||||
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.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",
|
||||
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},
|
||||
},
|
||||
},
|
||||
@@ -71,7 +71,7 @@ func TestReducedStatementBuilder(t *testing.T) {
|
||||
name: "counter_sum_rate",
|
||||
query: reducedQuery("test.metric.sum", 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.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",
|
||||
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.sum", uint64(1746921600000), uint64(1747172760000), "cumulative", false, "test.metric.sum", uint64(1746999600000), uint64(1747172760000), 0, "test.metric.sum", uint64(1746999600000), uint64(1747172760000), "test.metric.sum", uint64(1746999600000), uint64(1747172760000), false},
|
||||
},
|
||||
},
|
||||
@@ -79,7 +79,7 @@ func TestReducedStatementBuilder(t *testing.T) {
|
||||
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.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",
|
||||
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},
|
||||
},
|
||||
},
|
||||
@@ -103,7 +103,7 @@ func TestReducedStatementBuilder(t *testing.T) {
|
||||
name: "histogram_p99",
|
||||
query: reducedQuery("test.metric.bucket", 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.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",
|
||||
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.bucket", uint64(1746921600000), uint64(1747172760000), "cumulative", false, "test.metric.bucket", uint64(1746999900000), uint64(1747172760000), 0, "test.metric.bucket", uint64(1746999900000), uint64(1747172760000), "test.metric.bucket", uint64(1746999900000), uint64(1747172760000), false},
|
||||
},
|
||||
},
|
||||
@@ -111,7 +111,7 @@ func TestReducedStatementBuilder(t *testing.T) {
|
||||
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.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",
|
||||
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},
|
||||
},
|
||||
},
|
||||
|
||||
@@ -296,7 +296,7 @@ func (b *MetricQueryStatementBuilder) buildReducedTimeSeriesCTE(
|
||||
}
|
||||
}
|
||||
|
||||
sb.From(fmt.Sprintf("%s.%s", DBName, TimeseriesV4ReducedLocalTableName))
|
||||
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)
|
||||
|
||||
@@ -6,7 +6,6 @@ import (
|
||||
|
||||
"github.com/SigNoz/signoz/pkg/errors"
|
||||
"github.com/SigNoz/signoz/pkg/valuer"
|
||||
"github.com/swaggest/jsonschema-go"
|
||||
)
|
||||
|
||||
type Source struct {
|
||||
@@ -23,23 +22,6 @@ func (Source) Enum() []any {
|
||||
return []any{SourceUser, SourceSystem, SourceIntegration}
|
||||
}
|
||||
|
||||
// JSONSchema exposes Source as a string enum. Without this the reflector sees the
|
||||
// unexported valuer.String field and emits `type: object`. The enum values are
|
||||
// derived from Enum() so the list of sources lives in exactly one place.
|
||||
func (Source) JSONSchema() (jsonschema.Schema, error) {
|
||||
sources := Source{}.Enum()
|
||||
enum := make([]any, 0, len(sources))
|
||||
for _, source := range sources {
|
||||
enum = append(enum, source.(Source).StringValue())
|
||||
}
|
||||
|
||||
schema := jsonschema.Schema{}
|
||||
schema.WithType(jsonschema.String.Type())
|
||||
schema.WithEnum(enum...)
|
||||
|
||||
return schema, nil
|
||||
}
|
||||
|
||||
func (s Source) IsValid() bool {
|
||||
return slices.ContainsFunc(s.Enum(), func(v any) bool { return v == s })
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user