grafana/public/app/plugins/datasource/loki/querySplitting.test.ts
Matias Chomicki 40ac0fa14b
Query Splitting: Add support for multiple queries (#63663)
* Range splitting: group metric and logs queries

* Range splitting: intercalate logs and metric queries when > 1 queries

* Range splitting: fix possibly undefined error and remove console log

* Range splitting: update test imports

* Range splitting: add unit tests for multiple queries

* Query splitting: use lodash partition function

* Chore: rename variable

* Chore: attempt to improve readability
2023-03-02 10:32:45 +01:00

167 lines
6.3 KiB
TypeScript

import { of } from 'rxjs';
import { getQueryOptions } from 'test/helpers/getQueryOptions';
import { dateTime } from '@grafana/data';
import { LoadingState } from '@grafana/schema';
import { LokiDatasource } from './datasource';
import * as logsTimeSplit from './logsTimeSplit';
import * as metricTimeSplit from './metricTimeSplit';
import { createLokiDatasource, getMockFrames } from './mocks';
import { runPartitionedQueries } from './querySplitting';
import { LokiQuery } from './types';
describe('runPartitionedQueries()', () => {
let datasource: LokiDatasource;
const range = {
from: dateTime('2023-02-08T05:00:00.000Z'),
to: dateTime('2023-02-10T06:00:00.000Z'),
raw: {
from: dateTime('2023-02-08T05:00:00.000Z'),
to: dateTime('2023-02-10T06:00:00.000Z'),
},
};
const request = getQueryOptions<LokiQuery>({
targets: [{ expr: 'count_over_time({a="b"}[1m])', refId: 'A' }],
range,
});
beforeEach(() => {
datasource = createLokiDatasource();
jest.spyOn(datasource, 'runQuery').mockReturnValue(of({ data: [] }));
});
test('Splits datasource queries', async () => {
await expect(runPartitionedQueries(datasource, request)).toEmitValuesWith(() => {
// 3 days, 3 chunks, 3 requests.
expect(datasource.runQuery).toHaveBeenCalledTimes(3);
});
});
test('Handles and reports rerrors', async () => {
jest
.spyOn(datasource, 'runQuery')
.mockReturnValue(of({ state: LoadingState.Error, error: { refId: 'A', message: 'Error' }, data: [] }));
await expect(runPartitionedQueries(datasource, request)).toEmitValuesWith((values) => {
expect(values).toEqual([{ refId: 'A', message: 'Error' }]);
});
});
describe('Hidden queries', () => {
const request = getQueryOptions<LokiQuery>({
targets: [
{ expr: 'count_over_time({a="b"}[1m])', refId: 'A', hide: true },
{ expr: '{a="b"}', refId: 'B' },
],
range,
});
beforeAll(() => {
jest.spyOn(logsTimeSplit, 'getRangeChunks').mockReturnValue([]);
jest.spyOn(metricTimeSplit, 'getRangeChunks').mockReturnValue([]);
});
afterAll(() => {
jest.mocked(logsTimeSplit.getRangeChunks).mockRestore();
jest.mocked(metricTimeSplit.getRangeChunks).mockRestore();
});
test('Ignores hidden queries', async () => {
await expect(runPartitionedQueries(datasource, request)).toEmitValuesWith(() => {
expect(logsTimeSplit.getRangeChunks).toHaveBeenCalled();
expect(metricTimeSplit.getRangeChunks).not.toHaveBeenCalled();
});
});
});
describe('Dynamic maxLines for logs requests', () => {
const request = getQueryOptions<LokiQuery>({
targets: [{ expr: '{a="b"}', refId: 'A', maxLines: 4 }],
range,
});
const { logFrameA } = getMockFrames();
beforeEach(() => {
jest.spyOn(datasource, 'runQuery').mockReturnValue(of({ data: [logFrameA], refId: 'A' }));
});
test('Stops requesting once maxLines of logs have been received', async () => {
await expect(runPartitionedQueries(datasource, request)).toEmitValuesWith(() => {
// 3 days, 3 chunks, 2 responses of 2 logs, 2 requests
expect(datasource.runQuery).toHaveBeenCalledTimes(2);
});
});
test('Performs all the requests if maxLines has not been reached', async () => {
request.targets[0].maxLines = 9999;
await expect(runPartitionedQueries(datasource, request)).toEmitValuesWith(() => {
// 3 days, 3 chunks, 3 responses of 2 logs, 3 requests
expect(datasource.runQuery).toHaveBeenCalledTimes(3);
});
});
test('Performs all the requests if not a log query', async () => {
request.targets[0].maxLines = 1;
request.targets[0].expr = 'count_over_time({a="b"}[1m])';
await expect(runPartitionedQueries(datasource, request)).toEmitValuesWith(() => {
// 3 days, 3 chunks, 3 responses of 2 logs, 3 requests
expect(datasource.runQuery).toHaveBeenCalledTimes(3);
});
});
});
describe('Splitting multiple targets', () => {
beforeEach(() => {
jest.spyOn(datasource, 'runQuery').mockReturnValue(of({ data: [], refId: 'A' }));
});
test('Sends logs and metric queries individually', async () => {
const request = getQueryOptions<LokiQuery>({
targets: [
{ expr: '{a="b"}', refId: 'A' },
{ expr: 'count_over_time({a="b"}[1m])', refId: 'B' },
],
range,
});
await expect(runPartitionedQueries(datasource, request)).toEmitValuesWith(() => {
// 3 days, 3 chunks, 1x Metric + 1x Log, 6 requests.
expect(datasource.runQuery).toHaveBeenCalledTimes(6);
});
});
test('Groups metric queries', async () => {
const request = getQueryOptions<LokiQuery>({
targets: [
{ expr: 'count_over_time({a="b"}[1m])', refId: 'A' },
{ expr: 'count_over_time({c="d"}[1m])', refId: 'B' },
],
range,
});
await expect(runPartitionedQueries(datasource, request)).toEmitValuesWith(() => {
// 3 days, 3 chunks, 1x2 Metric, 3 requests.
expect(datasource.runQuery).toHaveBeenCalledTimes(3);
});
});
test('Groups logs queries', async () => {
const request = getQueryOptions<LokiQuery>({
targets: [
{ expr: '{a="b"}', refId: 'A' },
{ expr: '{c="d"}', refId: 'B' },
],
range,
});
await expect(runPartitionedQueries(datasource, request)).toEmitValuesWith(() => {
// 3 days, 3 chunks, 1x2 Logs, 3 requests.
expect(datasource.runQuery).toHaveBeenCalledTimes(3);
});
});
test('Respects maxLines of logs queries', async () => {
const { logFrameA } = getMockFrames();
const request = getQueryOptions<LokiQuery>({
targets: [
{ expr: '{a="b"}', refId: 'A', maxLines: logFrameA.fields[0].values.length },
{ expr: 'count_over_time({a="b"}[1m])', refId: 'B' },
],
range,
});
jest.spyOn(datasource, 'runQuery').mockReturnValue(of({ data: [], refId: 'B' }));
jest.spyOn(datasource, 'runQuery').mockReturnValueOnce(of({ data: [logFrameA], refId: 'A' }));
await expect(runPartitionedQueries(datasource, request)).toEmitValuesWith(() => {
// 3 days, 3 chunks, 1x Logs + 3x Metric, 3 requests.
expect(datasource.runQuery).toHaveBeenCalledTimes(4);
});
});
});
});