Compare commits

..

2 Commits

Author SHA1 Message Date
Vinícius Lourenço
f050419cff perf(tsconfig): enable incremental & fix large type resolution 2026-07-01 10:28:20 -03:00
Vinícius Lourenço
5ea514b94f chore(tsconfig): explicit path mappings and cleaned includes 2026-07-01 10:28:20 -03:00
36 changed files with 396 additions and 1270 deletions

View File

@@ -3571,7 +3571,7 @@ components:
- user
- system
- integration
type: string
type: object
DashboardtypesSpanGaps:
properties:
fillLessThan:

View File

@@ -1,5 +1,14 @@
import { MutableRefObject } from 'react';
import { Chart, ChartConfiguration, ChartData, Color } from 'chart.js';
import {
ActiveElement,
Chart,
ChartConfiguration,
ChartData,
ChartEvent,
ChartType,
Color,
TooltipItem,
} from 'chart.js';
import * as chartjsAdapter from 'chartjs-adapter-date-fns';
import { Timezone } from 'components/CustomTimePicker/timezoneUtils';
import { DATE_TIME_FORMATS } from 'constants/dateTimeFormats';
@@ -60,184 +69,189 @@ export const getGraphOptions = (
minTime?: number,
maxTime?: number,
// eslint-disable-next-line sonarjs/cognitive-complexity
): CustomChartOptions => ({
animation: {
duration: animate ? 200 : 0,
},
responsive: true,
maintainAspectRatio: false,
interaction: {
mode: 'index',
intersect: true,
},
plugins: {
...(staticLine
? {
annotation: {
annotations: [
{
type: 'line',
yMin: staticLine.yMin,
yMax: staticLine.yMax,
borderColor: staticLine.borderColor,
borderWidth: staticLine.borderWidth,
label: {
content: staticLine.lineText,
enabled: true,
font: {
size: 10,
): CustomChartOptions =>
({
animation: {
duration: animate ? 200 : 0,
},
responsive: true,
maintainAspectRatio: false,
interaction: {
mode: 'index',
intersect: true,
},
plugins: {
...(staticLine
? {
annotation: {
annotations: [
{
type: 'line',
yMin: staticLine.yMin,
yMax: staticLine.yMax,
borderColor: staticLine.borderColor,
borderWidth: staticLine.borderWidth,
label: {
content: staticLine.lineText,
enabled: true,
font: {
size: 10,
},
borderWidth: 0,
position: 'start',
backgroundColor: 'transparent',
color: staticLine.textColor,
},
borderWidth: 0,
position: 'start',
backgroundColor: 'transparent',
color: staticLine.textColor,
},
},
],
],
},
}
: {}),
title: {
display: title !== undefined,
text: title,
},
legend: {
display: false,
},
tooltip: {
callbacks: {
title(context: TooltipItem<'line'>[]): string | string[] {
const date = dayjs(context[0].parsed.x);
return date
.tz(timezone.value)
.format(DATE_TIME_FORMATS.MONTH_DATETIME_FULL_SECONDS);
},
label(context: TooltipItem<'line'>): string | string[] {
let label = context.dataset.label || '';
if (label) {
label += ': ';
}
if (context.parsed.y !== null) {
label += getToolTipValue(context.parsed.y.toString(), yAxisUnit);
}
return label;
},
labelTextColor(labelData: TooltipItem<'line'>): Color {
if (labelData.datasetIndex === nearestDatasetIndex.current) {
return 'rgba(255, 255, 255, 1)';
}
return 'rgba(255, 255, 255, 0.75)';
},
}
: {}),
title: {
display: title !== undefined,
text: title,
},
legend: {
display: false,
},
tooltip: {
callbacks: {
title(context): string | string[] {
const date = dayjs(context[0].parsed.x);
return date
.tz(timezone.value)
.format(DATE_TIME_FORMATS.MONTH_DATETIME_FULL_SECONDS);
},
label(context): string | string[] {
let label = context.dataset.label || '';
if (label) {
label += ': ';
}
if (context.parsed.y !== null) {
label += getToolTipValue(context.parsed.y.toString(), yAxisUnit);
}
return label;
},
labelTextColor(labelData): Color {
if (labelData.datasetIndex === nearestDatasetIndex.current) {
return 'rgba(255, 255, 255, 1)';
}
return 'rgba(255, 255, 255, 0.75)';
position: 'custom',
itemSort(item1: TooltipItem<'line'>, item2: TooltipItem<'line'>): number {
return item2.parsed.y - item1.parsed.y;
},
},
position: 'custom',
itemSort(item1, item2): number {
return item2.parsed.y - item1.parsed.y;
},
[dragSelectPluginId]: createDragSelectPluginOptions(
!!onDragSelect,
onDragSelect,
dragSelectColor,
),
[intersectionCursorPluginId]: createIntersectionCursorPluginOptions(
!!onDragSelect,
currentTheme === 'dark' ? 'white' : 'black',
),
},
[dragSelectPluginId]: createDragSelectPluginOptions(
!!onDragSelect,
onDragSelect,
dragSelectColor,
),
[intersectionCursorPluginId]: createIntersectionCursorPluginOptions(
!!onDragSelect,
currentTheme === 'dark' ? 'white' : 'black',
),
},
layout: {
padding: 0,
},
scales: {
x: {
stacked: isStacked,
offset: false,
grid: {
layout: {
padding: 0,
},
scales: {
x: {
stacked: isStacked,
offset: false,
grid: {
display: true,
color: getGridColor(),
drawTicks: true,
},
adapters: {
date: chartjsAdapter,
},
time: {
unit: xAxisTimeUnit?.unitName || 'minute',
stepSize: xAxisTimeUnit?.stepSize || 1,
displayFormats: {
millisecond: DATE_TIME_FORMATS.TIME_SECONDS,
second: DATE_TIME_FORMATS.TIME_SECONDS,
minute: DATE_TIME_FORMATS.TIME,
hour: DATE_TIME_FORMATS.SLASH_SHORT,
day: DATE_TIME_FORMATS.DATE_SHORT,
week: DATE_TIME_FORMATS.DATE_SHORT,
month: DATE_TIME_FORMATS.YEAR_MONTH,
year: DATE_TIME_FORMATS.YEAR_SHORT,
},
},
type: 'time',
ticks: { color: getAxisLabelColor(currentTheme) },
...(minTime && {
min: dayjs(minTime).tz(timezone.value).format(),
}),
...(maxTime && {
max: dayjs(maxTime).tz(timezone.value).format(),
}),
},
y: {
stacked: isStacked,
display: true,
color: getGridColor(),
drawTicks: true,
},
adapters: {
date: chartjsAdapter,
},
time: {
unit: xAxisTimeUnit?.unitName || 'minute',
stepSize: xAxisTimeUnit?.stepSize || 1,
displayFormats: {
millisecond: DATE_TIME_FORMATS.TIME_SECONDS,
second: DATE_TIME_FORMATS.TIME_SECONDS,
minute: DATE_TIME_FORMATS.TIME,
hour: DATE_TIME_FORMATS.SLASH_SHORT,
day: DATE_TIME_FORMATS.DATE_SHORT,
week: DATE_TIME_FORMATS.DATE_SHORT,
month: DATE_TIME_FORMATS.YEAR_MONTH,
year: DATE_TIME_FORMATS.YEAR_SHORT,
grid: {
display: true,
color: getGridColor(),
},
},
type: 'time',
ticks: { color: getAxisLabelColor(currentTheme) },
...(minTime && {
min: dayjs(minTime).tz(timezone.value).format(),
}),
...(maxTime && {
max: dayjs(maxTime).tz(timezone.value).format(),
}),
},
y: {
stacked: isStacked,
display: true,
grid: {
display: true,
color: getGridColor(),
},
ticks: {
color: getAxisLabelColor(currentTheme),
// Include a dollar sign in the ticks
callback(value): string {
return getYAxisFormattedValue(value.toString(), yAxisUnit);
ticks: {
color: getAxisLabelColor(currentTheme),
// Include a dollar sign in the ticks
callback(value: number | string): string {
return getYAxisFormattedValue(value.toString(), yAxisUnit);
},
},
},
},
},
elements: {
line: {
tension: 0,
cubicInterpolationMode: 'monotone',
},
point: {
hoverBackgroundColor: (ctx: any): string => {
if (ctx?.element?.options?.borderColor) {
return ctx.element.options.borderColor;
}
return 'rgba(0,0,0,0.1)';
elements: {
line: {
tension: 0,
cubicInterpolationMode: 'monotone',
},
hoverRadius: 5,
},
},
onClick: (event, element, chart): void => {
if (onClickHandler) {
onClickHandler(event, element, chart, data);
}
},
onHover: (event, _, chart): void => {
if (event.native) {
const interactions = chart.getElementsAtEventForMode(
event.native,
'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 {

View File

@@ -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}

View File

@@ -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();

View File

@@ -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;
}

View File

@@ -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>

View File

@@ -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>
);

View File

@@ -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;
}

View File

@@ -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>
)}

View File

@@ -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}>&gt;</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') {

View File

@@ -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',
);
});
});

View File

@@ -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>

View File

@@ -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();
});
});

View File

@@ -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),
};

View File

@@ -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 () => {

View File

@@ -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();

View File

@@ -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 = (

View File

@@ -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 => {

View File

@@ -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;

View File

@@ -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 }));

View File

@@ -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' },
]);
});
});
});

View File

@@ -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;
}

View File

@@ -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);
});
});

View File

@@ -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 };
}

View File

@@ -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>

View File

@@ -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([]);
});
});

View File

@@ -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 });
});
});

View File

@@ -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]

View File

@@ -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);
});
});

View File

@@ -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)

View File

@@ -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"
]
}

View File

@@ -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))

View File

@@ -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},

View File

@@ -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},
},
},

View File

@@ -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)

View File

@@ -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 })
}