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grafana/public/app/plugins/datasource/loki/querySplitting.test.ts

546 lines
20 KiB

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 './logsTimeSplitting';
import * as metricTimeSplit from './metricTimeSplitting';
import { createLokiDatasource, getMockFrames } from './mocks';
import { runSplitQuery } from './querySplitting';
import { trackGroupedQueries } from './tracking';
import { LokiQuery, LokiQueryType } from './types';
jest.mock('./tracking');
describe('runSplitQuery()', () => {
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(runSplitQuery(datasource, request)).toEmitValuesWith(() => {
// 3 days, 3 chunks, 3 requests.
expect(datasource.runQuery).toHaveBeenCalledTimes(3);
});
});
test('Correctly splits queries without step', async () => {
await expect(runSplitQuery(datasource, request)).toEmitValuesWith(() => {
expect(datasource.runQuery).toHaveBeenNthCalledWith(
1,
expect.objectContaining({
requestId: 'TEST_3',
intervalMs: 60000,
range: expect.objectContaining({
from: expect.objectContaining({
//2023-02-09T06:00:00.000Z
_i: 1675922400000,
}),
to: expect.objectContaining({
// 2023-02-10T06:00:00.000Z
_i: 1676008800000,
}),
}),
})
);
expect(datasource.runQuery).toHaveBeenNthCalledWith(
2,
expect.objectContaining({
requestId: 'TEST_2',
intervalMs: 60000,
range: expect.objectContaining({
from: expect.objectContaining({
//2023-02-08T05:59:00.000Z
_i: 1675835940000,
}),
to: expect.objectContaining({
// 2023-02-09T05:59:00.000Z
_i: 1675922340000,
}),
}),
})
);
expect(datasource.runQuery).toHaveBeenNthCalledWith(
3,
expect.objectContaining({
requestId: 'TEST_1',
intervalMs: 60000,
range: expect.objectContaining({
from: expect.objectContaining({
//2023-02-08T05:00:00.000Z
_i: 1675832400000,
}),
to: expect.objectContaining({
// 2023-02-08T05:58:00.000Z
_i: 1675835880000,
}),
}),
})
);
});
});
test('Correctly splits queries with step', async () => {
const req = { ...request };
req.targets[0].step = '10s';
await expect(runSplitQuery(datasource, request)).toEmitValuesWith(() => {
expect(datasource.runQuery).toHaveBeenNthCalledWith(
1,
expect.objectContaining({
requestId: 'TEST_3',
intervalMs: 60000,
range: expect.objectContaining({
from: expect.objectContaining({
//2023-02-09T06:00:00.000Z
_i: 1675922400000,
}),
to: expect.objectContaining({
// 2023-02-10T06:00:00.000Z
_i: 1676008800000,
}),
}),
})
);
expect(datasource.runQuery).toHaveBeenNthCalledWith(
2,
expect.objectContaining({
requestId: 'TEST_2',
intervalMs: 60000,
range: expect.objectContaining({
from: expect.objectContaining({
//2023-02-08T05:59:50.000Z
_i: 1675835990000,
}),
to: expect.objectContaining({
// 2023-02-09T05:59:50.000Z
_i: 1675922390000,
}),
}),
})
);
expect(datasource.runQuery).toHaveBeenNthCalledWith(
3,
expect.objectContaining({
requestId: 'TEST_1',
intervalMs: 60000,
range: expect.objectContaining({
from: expect.objectContaining({
// 2023-02-08T05:00:00.000Z
_i: 1675832400000,
}),
to: expect.objectContaining({
// 2023-02-08T05:59:40.000Z
_i: 1675835980000,
}),
}),
})
);
});
});
test('Handles and reports errors', async () => {
jest
.spyOn(datasource, 'runQuery')
.mockReturnValue(of({ state: LoadingState.Error, error: { refId: 'A', message: 'Error' }, data: [] }));
await expect(runSplitQuery(datasource, request)).toEmitValuesWith((values) => {
expect(values).toHaveLength(1);
expect(values[0]).toEqual(
expect.objectContaining({ error: { refId: 'A', message: 'Error' }, state: LoadingState.Streaming })
);
});
});
describe('Hidden and empty queries', () => {
beforeAll(() => {
jest.spyOn(logsTimeSplit, 'splitTimeRange').mockReturnValue([]);
jest.spyOn(metricTimeSplit, 'splitTimeRange').mockReturnValue([]);
jest.useFakeTimers().setSystemTime(new Date('Wed May 17 2023 17:20:12 GMT+0200'));
});
beforeEach(() => {
jest.mocked(logsTimeSplit.splitTimeRange).mockClear();
jest.mocked(logsTimeSplit.splitTimeRange).mockClear();
jest.mocked(trackGroupedQueries).mockClear();
});
afterAll(() => {
jest.mocked(logsTimeSplit.splitTimeRange).mockRestore();
jest.mocked(metricTimeSplit.splitTimeRange).mockRestore();
jest.useRealTimers();
});
test('Ignores hidden queries', async () => {
const request = getQueryOptions<LokiQuery>({
targets: [
{ expr: 'count_over_time({a="b"}[1m])', refId: 'A', hide: true },
{ expr: '{a="b"}', refId: 'B' },
],
range,
});
await expect(runSplitQuery(datasource, request)).toEmitValuesWith(() => {
expect(logsTimeSplit.splitTimeRange).toHaveBeenCalled();
expect(metricTimeSplit.splitTimeRange).not.toHaveBeenCalled();
expect(trackGroupedQueries).toHaveBeenCalledTimes(1);
expect(trackGroupedQueries).toHaveBeenCalledWith(
{
data: [],
state: LoadingState.Done,
},
[
{
partition: [],
request: {
...request,
targets: request.targets.filter((query) => !query.hide),
},
},
],
request,
new Date(),
{ predefinedOperations: '' }
);
});
});
test('Ignores empty queries', async () => {
const request = getQueryOptions<LokiQuery>({
targets: [
{ expr: 'count_over_time({a="b"}[1m])', refId: 'A' },
{ expr: '', refId: 'B' },
],
range,
});
await expect(runSplitQuery(datasource, request)).toEmitValuesWith(() => {
expect(logsTimeSplit.splitTimeRange).not.toHaveBeenCalled();
expect(metricTimeSplit.splitTimeRange).toHaveBeenCalled();
expect(trackGroupedQueries).toHaveBeenCalledTimes(1);
expect(trackGroupedQueries).toHaveBeenCalledWith(
{
data: [],
state: LoadingState.Done,
},
[
{
partition: [],
request: {
...request,
targets: request.targets.filter((query) => query.expr),
},
},
],
request,
new Date(),
{ predefinedOperations: '' }
);
});
});
});
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(runSplitQuery(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(runSplitQuery(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(runSplitQuery(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(runSplitQuery(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(runSplitQuery(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(runSplitQuery(datasource, request)).toEmitValuesWith(() => {
// 3 days, 3 chunks, 1x2 Logs, 3 requests.
expect(datasource.runQuery).toHaveBeenCalledTimes(3);
});
});
test('Groups instant queries', async () => {
const request = getQueryOptions<LokiQuery>({
targets: [
{ expr: 'count_over_time({a="b"}[1m])', refId: 'A', queryType: LokiQueryType.Instant },
{ expr: 'count_over_time({c="d"}[1m])', refId: 'B', queryType: LokiQueryType.Instant },
],
range,
});
await expect(runSplitQuery(datasource, request)).toEmitValuesWith(() => {
// Instant queries are omitted from splitting
expect(datasource.runQuery).toHaveBeenCalledTimes(1);
});
});
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(runSplitQuery(datasource, request)).toEmitValuesWith(() => {
// 3 days, 3 chunks, 1x Logs + 3x Metric, 3 requests.
expect(datasource.runQuery).toHaveBeenCalledTimes(4);
});
});
test('Groups multiple queries into logs, queries, instant', async () => {
const request = getQueryOptions<LokiQuery>({
targets: [
{ expr: 'count_over_time({a="b"}[1m])', refId: 'A', queryType: LokiQueryType.Instant },
{ expr: '{c="d"}', refId: 'B' },
{ expr: 'count_over_time({c="d"}[1m])', refId: 'C' },
],
range,
});
await expect(runSplitQuery(datasource, request)).toEmitValuesWith(() => {
// 3 days, 3 chunks, 3x Logs + 3x Metric + (1x Instant), 7 requests.
expect(datasource.runQuery).toHaveBeenCalledTimes(7);
});
});
});
describe('Splitting targets based on splitDuration', () => {
const range1h = {
from: dateTime('2023-02-08T05:00:00.000Z'),
to: dateTime('2023-02-08T06:00:00.000Z'),
raw: {
from: dateTime('2023-02-08T05:00:00.000Z'),
to: dateTime('2023-02-08T06:00:00.000Z'),
},
};
beforeEach(() => {
jest.spyOn(datasource, 'runQuery').mockReturnValue(of({ data: [], refId: 'A' }));
});
test('with 30m splitDuration runs 2 queries', async () => {
const request = getQueryOptions<LokiQuery>({
targets: [{ expr: '{a="b"}', refId: 'A', splitDuration: '30m' }],
range: range1h,
});
await expect(runSplitQuery(datasource, request)).toEmitValuesWith(() => {
expect(datasource.runQuery).toHaveBeenCalledTimes(2);
});
});
test('with 1h splitDuration runs 1 queries', async () => {
const request = getQueryOptions<LokiQuery>({
targets: [{ expr: '{a="b"}', refId: 'A', splitDuration: '1h' }],
range: range1h,
});
await expect(runSplitQuery(datasource, request)).toEmitValuesWith(() => {
expect(datasource.runQuery).toHaveBeenCalledTimes(1);
});
});
test('with 1h splitDuration and 2 targets runs 1 queries', async () => {
const request = getQueryOptions<LokiQuery>({
targets: [
{ expr: '{a="b"}', refId: 'A', splitDuration: '1h' },
{ expr: '{a="b"}', refId: 'B', splitDuration: '1h' },
],
range: range1h,
});
await expect(runSplitQuery(datasource, request)).toEmitValuesWith(() => {
expect(datasource.runQuery).toHaveBeenCalledTimes(1);
});
});
test('with 1h/30m splitDuration and 2 targets runs 3 queries', async () => {
const request = getQueryOptions<LokiQuery>({
targets: [
{ expr: '{a="b"}', refId: 'A', splitDuration: '1h' },
{ expr: '{a="b"}', refId: 'B', splitDuration: '30m' },
],
range: range1h,
});
await expect(runSplitQuery(datasource, request)).toEmitValuesWith(() => {
// 2 x 30m + 1 x 1h
expect(datasource.runQuery).toHaveBeenCalledTimes(3);
});
});
test('with mixed splitDuration runs the expected amount of queries', async () => {
const request = getQueryOptions<LokiQuery>({
targets: [
{ expr: 'count_over_time({c="d"}[1m])', refId: 'A', splitDuration: '15m' },
{ expr: '{a="b"}', refId: 'B', splitDuration: '15m' },
{ expr: '{a="b"}', refId: 'C', splitDuration: '1h' },
],
range: range1h,
});
await expect(runSplitQuery(datasource, request)).toEmitValuesWith(() => {
// 4 * 15m + 4 * 15m + 1 * 1h
expect(datasource.runQuery).toHaveBeenCalledTimes(9);
});
});
test('with 1h/30m splitDuration and 1 log and 2 metric target runs 3 queries', async () => {
const request = getQueryOptions<LokiQuery>({
targets: [
{ expr: '{a="b"}', refId: 'A', splitDuration: '1h' },
{ expr: 'count_over_time({c="d"}[1m])', refId: 'C', splitDuration: '30m' },
],
range: range1h,
});
await expect(runSplitQuery(datasource, request)).toEmitValuesWith(() => {
// 2 x 30m + 1 x 1h
expect(datasource.runQuery).toHaveBeenCalledTimes(3);
});
});
});
describe('Splitting targets based on resolution', () => {
const range1d = {
from: dateTime('2023-02-08T05:00:00.000Z'),
to: dateTime('2023-02-09T05:00:00.000Z'),
raw: {
from: dateTime('2023-02-08T05:00:00.000Z'),
to: dateTime('2023-02-09T05:00:00.000Z'),
},
};
test('Groups logs queries by resolution', async () => {
const request = getQueryOptions<LokiQuery>({
targets: [
{ expr: '{a="b"}', refId: 'A', resolution: 3 },
{ expr: '{a="b"}', refId: 'B', resolution: 5 },
],
range: range1d,
});
await expect(runSplitQuery(datasource, request)).toEmitValuesWith(() => {
// A, B
expect(datasource.runQuery).toHaveBeenCalledTimes(2);
});
});
test('Groups metric queries with no step by calculated stepMs', async () => {
const request = getQueryOptions<LokiQuery>({
targets: [
{ expr: 'count_over_time({a="b"}[1m])', refId: 'A', resolution: 3 },
{ expr: 'count_over_time{a="b"}[1m])', refId: 'B', resolution: 5 },
],
range: range1d,
});
await expect(runSplitQuery(datasource, request)).toEmitValuesWith(() => {
// A, B
expect(datasource.runQuery).toHaveBeenCalledTimes(2);
});
});
test('Groups metric queries with step by stepMs', async () => {
const request = getQueryOptions<LokiQuery>({
targets: [
{ expr: 'count_over_time({a="b"}[1m])', refId: 'A', resolution: 1, step: '10' },
{ expr: 'count_over_time{a="b"}[1m])', refId: 'B', resolution: 1, step: '5ms' },
],
range: range1d,
});
await expect(runSplitQuery(datasource, request)).toEmitValuesWith(() => {
// A, B
expect(datasource.runQuery).toHaveBeenCalledTimes(2);
});
});
test('Groups mixed queries by stepMs', async () => {
const request = getQueryOptions<LokiQuery>({
targets: [
{ expr: '{a="b"}', refId: 'A', resolution: 3 },
{ expr: '{a="b"}', refId: 'B', resolution: 5 },
{ expr: 'count_over_time({a="b"}[1m])', refId: 'C', resolution: 3 },
{ expr: 'count_over_time{a="b"}[1m])', refId: 'D', resolution: 5 },
{ expr: '{a="b"}', refId: 'E', resolution: 5, queryType: LokiQueryType.Instant },
{ expr: 'rate({a="b"}[5m])', refId: 'F', resolution: 5, step: '10' },
{ expr: 'rate({a="b"} | logfmt[5m])', refId: 'G', resolution: 5, step: '10s' },
],
range: range1d,
});
await expect(runSplitQuery(datasource, request)).toEmitValuesWith(() => {
// A, B, C, D, E, F+G
expect(datasource.runQuery).toHaveBeenCalledTimes(6);
});
});
test('Chunked groups mixed queries by stepMs', async () => {
const request = getQueryOptions<LokiQuery>({
targets: [
{ expr: '{a="b"}', refId: 'A', resolution: 3 },
{ expr: '{a="b"}', refId: 'B', resolution: 5 },
{ expr: 'count_over_time({a="b"}[1m])', refId: 'C', resolution: 3 },
{ expr: 'count_over_time{a="b"}[1m])', refId: 'D', resolution: 5 },
{ expr: '{a="b"}', refId: 'E', resolution: 5, queryType: LokiQueryType.Instant },
{ expr: 'rate({a="b"}[5m])', refId: 'F', resolution: 5, step: '10' },
{ expr: 'rate({a="b"} | logfmt[5m])', refId: 'G', resolution: 5, step: '10s' },
],
range, // 3 days
});
await expect(runSplitQuery(datasource, request)).toEmitValuesWith(() => {
// 3 * A, 3 * B, 3 * C, 3 * D, 1 * E, 3 * F+G
expect(datasource.runQuery).toHaveBeenCalledTimes(16);
});
});
});
});