Merge branch 'master' into backend
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@@ -105,6 +105,19 @@ calculates moving average over 60 points (if metric has 1 second resolution it m
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```
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---
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### _percentile_
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```
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percentile(interval, N)
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```
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Takes a series of values and a window size and consolidate all its points fallen in the given _interval_ into one point by Nth percentile.
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Examples:
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```
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percentile(1h, 99)
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percentile($__range_series, 95) - 95th percentile over all series values
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```
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---
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### _removeAboveValue_
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```
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removeAboveValue(N)
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@@ -159,16 +172,16 @@ This will add metrics together and return the sum at each datapoint. This method
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---
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### _percentile_
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### _percentileAgg_
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```
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percentile(interval, N)
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percentileAgg(interval, N)
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```
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Takes all timeseries and consolidate all its points fallen in the given _interval_ into one point by Nth percentile.
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Examples:
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```
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percentile(1h, 99)
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percentile($__range_series, 95) - 95th percentile over all values
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percentileAgg(1h, 99)
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percentileAgg($__range_series, 95) - 95th percentile over all values
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```
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---
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@@ -30,10 +30,10 @@
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"@babel/preset-env": "^7.8.3",
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"@babel/preset-react": "^7.8.3",
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"@emotion/core": "^10.0.27",
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"@grafana/data": "canary",
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"@grafana/runtime": "canary",
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"@grafana/toolkit": "canary",
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"@grafana/ui": "canary",
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"@grafana/data": "^6.5.3",
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"@grafana/runtime": "^6.5.3",
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"@grafana/toolkit": "^6.5.3",
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"@grafana/ui": "^6.5.3",
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"@types/classnames": "^2.2.9",
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"@types/grafana": "github:CorpGlory/types-grafana",
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"@types/jest": "^23.1.1",
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@@ -1,6 +1,6 @@
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import React, { FC } from 'react';
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import { css, cx } from 'emotion';
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import { Themeable, withTheme, Input, EventsWithValidation, ValidationEvents } from '@grafana/ui';
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import { withTheme, Input, EventsWithValidation, ValidationEvents, Themeable } from '@grafana/ui';
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import { GrafanaTheme } from '@grafana/data';
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import { isRegex, variableRegex } from '../utils';
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@@ -2,6 +2,14 @@ import _ from 'lodash';
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import * as utils from './utils';
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import ts, { groupBy_perf as groupBy } from './timeseries';
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let SUM = ts.SUM;
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let COUNT = ts.COUNT;
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let AVERAGE = ts.AVERAGE;
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let MIN = ts.MIN;
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let MAX = ts.MAX;
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let MEDIAN = ts.MEDIAN;
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let PERCENTILE = ts.PERCENTILE;
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let downsampleSeries = ts.downsample;
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let groupBy_exported = (interval, groupFunc, datapoints) => groupBy(datapoints, interval, groupFunc);
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let sumSeries = ts.sumSeries;
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@@ -11,14 +19,7 @@ let scale = (factor, datapoints) => ts.scale_perf(datapoints, factor);
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let offset = (delta, datapoints) => ts.offset(datapoints, delta);
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let simpleMovingAverage = (n, datapoints) => ts.simpleMovingAverage(datapoints, n);
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let expMovingAverage = (a, datapoints) => ts.expMovingAverage(datapoints, a);
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let SUM = ts.SUM;
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let COUNT = ts.COUNT;
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let AVERAGE = ts.AVERAGE;
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let MIN = ts.MIN;
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let MAX = ts.MAX;
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let MEDIAN = ts.MEDIAN;
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let PERCENTILE = ts.PERCENTILE;
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let percentile = (interval, n, datapoints) => groupBy(datapoints, interval, _.partial(PERCENTILE, n));
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function limit(order, n, orderByFunc, timeseries) {
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let orderByCallback = aggregationFunctions[orderByFunc];
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@@ -120,7 +121,7 @@ function aggregateWrapper(groupByCallback, interval, datapoints) {
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return groupBy(sortedPoints, interval, groupByCallback);
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}
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function percentile(interval, n, datapoints) {
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function percentileAgg(interval, n, datapoints) {
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const flattenedPoints = ts.flattenDatapoints(datapoints);
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// groupBy_perf works with sorted series only
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const sortedPoints = ts.sortByTime(flattenedPoints);
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@@ -153,10 +154,11 @@ let metricFunctions = {
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rate: rate,
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movingAverage: simpleMovingAverage,
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exponentialMovingAverage: expMovingAverage,
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percentile: percentile,
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transformNull: transformNull,
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aggregateBy: aggregateByWrapper,
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// Predefined aggs
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percentile: percentile,
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percentileAgg: percentileAgg,
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average: _.partial(aggregateWrapper, AVERAGE),
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min: _.partial(aggregateWrapper, MIN),
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max: _.partial(aggregateWrapper, MAX),
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@@ -85,6 +85,16 @@ addFuncDef({
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defaultParams: [0.2],
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});
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addFuncDef({
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name: 'percentile',
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category: 'Transform',
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params: [
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{ name: 'interval', type: 'string' },
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{ name: 'percent', type: 'float', options: [25, 50, 75, 90, 95, 99, 99.9] }
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],
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defaultParams: ['1m', 95],
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});
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addFuncDef({
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name: 'removeAboveValue',
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category: 'Transform',
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@@ -140,7 +150,7 @@ addFuncDef({
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});
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addFuncDef({
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name: 'percentile',
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name: 'percentileAgg',
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category: 'Aggregate',
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params: [
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{ name: 'interval', type: 'string' },
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@@ -57,30 +57,30 @@ type TimeSeriesPoints = TimePoint[];
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type TimeSeriesSlice = TimeSeries[];
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interface TimeSeries {
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name: string;
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points: TimeSeriesPoints;
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tags: { [key: string]: string };
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name: string;
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points: TimeSeriesPoints;
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tags: { [key: string]: string };
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}
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interface TableColumn {
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text: string;
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text: string;
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}
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interface Table {
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columns: TableColumn[];
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rows: RowValues[];
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columns: TableColumn[];
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rows: RowValues[];
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}
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interface QueryResult {
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error: string;
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refId: string;
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meta: any;
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series: TimeSeriesSlice[];
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tables: Table[];
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error: string;
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refId: string;
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meta: any;
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series: TimeSeriesSlice[];
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tables: Table[];
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}
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export interface TSDBResponse {
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results: { [key: string]: QueryResult };
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results: { [key: string]: QueryResult };
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message: string;
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}
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@@ -82,6 +82,10 @@ jest.mock('grafana/app/core/config', () => {
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jest.mock('jquery', () => 'module not found', {virtual: true});
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// jest.mock('@grafana/ui', () => {
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// return {};
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// }, {virtual: true});
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// Required for loading angularjs
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let dom = new JSDOM('<html><head><script></script></head><body></body></html>');
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// Setup jsdom
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@@ -27,8 +27,8 @@ module.exports = {
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},
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externals: [
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// remove the line below if you don't want to use builtin versions
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'jquery', 'lodash', 'moment', 'angular',
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'react', 'react-dom', '@grafana/ui', '@grafana/runtime','@grafana/data',
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'jquery', 'lodash', 'moment', 'angular', 'emotion',
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'react', 'react-dom', '@grafana/ui', '@grafana/data',
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function (context, request, callback) {
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var prefix = 'grafana/';
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if (request.indexOf(prefix) === 0) {
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