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grafana/public/app/plugins/datasource/elasticsearch/datasource.test.ts

1073 lines
32 KiB

import { map } from 'lodash';
import { Observable, of, throwError } from 'rxjs';
import {
ArrayVector,
CoreApp,
DataQueryRequest,
DataSourceInstanceSettings,
DataSourcePluginMeta,
dateMath,
DateTime,
dateTime,
Field,
MutableDataFrame,
TimeRange,
toUtc,
} from '@grafana/data';
import { BackendSrvRequest, FetchResponse } from '@grafana/runtime';
import { ElasticDatasource, enhanceDataFrame } from './datasource';
import { backendSrv } from 'app/core/services/backend_srv'; // will use the version in __mocks__
import { ElasticsearchOptions, ElasticsearchQuery } from './types';
import { Filters } from './components/QueryEditor/BucketAggregationsEditor/aggregations';
import { createFetchResponse } from '../../../../test/helpers/createFetchResponse';
const ELASTICSEARCH_MOCK_URL = 'http://elasticsearch.local';
jest.mock('@grafana/runtime', () => ({
...((jest.requireActual('@grafana/runtime') as unknown) as object),
getBackendSrv: () => backendSrv,
getDataSourceSrv: () => {
return {
getInstanceSettings: () => {
return { name: 'elastic25' };
},
};
},
}));
const createTimeRange = (from: DateTime, to: DateTime): TimeRange => ({
from,
to,
raw: {
from,
to,
},
});
interface Args {
data?: any;
from?: string;
jsonData?: any;
database?: string;
mockImplementation?: (options: BackendSrvRequest) => Observable<FetchResponse>;
}
function getTestContext({
data = {},
from = 'now-5m',
jsonData = {},
database = '[asd-]YYYY.MM.DD',
mockImplementation = undefined,
}: Args = {}) {
jest.clearAllMocks();
const defaultMock = (options: BackendSrvRequest) => of(createFetchResponse(data));
const fetchMock = jest.spyOn(backendSrv, 'fetch');
fetchMock.mockImplementation(mockImplementation ?? defaultMock);
const templateSrv: any = {
replace: jest.fn((text) => {
if (text.startsWith('$')) {
return `resolvedVariable`;
} else {
return text;
}
}),
getAdhocFilters: jest.fn(() => []),
};
const timeSrv: any = {
time: { from, to: 'now' },
};
timeSrv.timeRange = jest.fn(() => {
return {
from: dateMath.parse(timeSrv.time.from, false),
to: dateMath.parse(timeSrv.time.to, true),
};
});
timeSrv.setTime = jest.fn((time) => {
timeSrv.time = time;
});
const instanceSettings: DataSourceInstanceSettings<ElasticsearchOptions> = {
id: 1,
meta: {} as DataSourcePluginMeta,
name: 'test-elastic',
type: 'type',
uid: 'uid',
url: ELASTICSEARCH_MOCK_URL,
database,
jsonData,
};
const ds = new ElasticDatasource(instanceSettings, templateSrv);
return { timeSrv, ds, fetchMock };
}
describe('ElasticDatasource', function (this: any) {
describe('When testing datasource with index pattern', () => {
it('should translate index pattern to current day', () => {
const { ds, fetchMock } = getTestContext({ jsonData: { interval: 'Daily', esVersion: 2 } });
ds.testDatasource();
const today = toUtc().format('YYYY.MM.DD');
expect(fetchMock).toHaveBeenCalledTimes(1);
expect(fetchMock.mock.calls[0][0].url).toBe(`${ELASTICSEARCH_MOCK_URL}/asd-${today}/_mapping`);
});
});
describe('When issuing metric query with interval pattern', () => {
async function runScenario() {
const range = { from: toUtc([2015, 4, 30, 10]), to: toUtc([2015, 5, 1, 10]) };
const targets = [
{
alias: '$varAlias',
bucketAggs: [{ type: 'date_histogram', field: '@timestamp', id: '1' }],
metrics: [{ type: 'count', id: '1' }],
query: 'escape\\:test',
},
];
const query: any = { range, targets };
const data = {
responses: [
{
aggregations: {
'1': {
buckets: [
{
doc_count: 10,
key: 1000,
},
],
},
},
},
],
};
const { ds, fetchMock } = getTestContext({ jsonData: { interval: 'Daily', esVersion: 2 }, data });
let result: any = {};
await expect(ds.query(query)).toEmitValuesWith((received) => {
expect(received.length).toBe(1);
expect(received[0]).toEqual({
data: [
{
datapoints: [[10, 1000]],
metric: 'count',
props: {},
refId: undefined,
target: 'resolvedVariable',
},
],
});
result = received[0];
});
expect(fetchMock).toHaveBeenCalledTimes(1);
const requestOptions = fetchMock.mock.calls[0][0];
const parts = requestOptions.data.split('\n');
const header = JSON.parse(parts[0]);
const body = JSON.parse(parts[1]);
return { result, body, header, query };
}
it('should translate index pattern to current day', async () => {
const { header } = await runScenario();
expect(header.index).toEqual(['asd-2015.05.30', 'asd-2015.05.31', 'asd-2015.06.01']);
});
it('should not resolve the variable in the original alias field in the query', async () => {
const { query } = await runScenario();
expect(query.targets[0].alias).toEqual('$varAlias');
});
it('should resolve the alias variable for the alias/target in the result', async () => {
const { result } = await runScenario();
expect(result.data[0].target).toEqual('resolvedVariable');
});
it('should json escape lucene query', async () => {
const { body } = await runScenario();
expect(body.query.bool.filter[1].query_string.query).toBe('escape\\:test');
});
});
describe('When issuing logs query with interval pattern', () => {
async function setupDataSource(jsonData?: Partial<ElasticsearchOptions>) {
jsonData = {
interval: 'Daily',
esVersion: '2.0.0',
timeField: '@timestamp',
...(jsonData || {}),
};
const { ds } = getTestContext({
jsonData,
data: logsResponse.data,
database: 'mock-index',
});
const query: DataQueryRequest<ElasticsearchQuery> = {
range: createTimeRange(toUtc([2015, 4, 30, 10]), toUtc([2019, 7, 1, 10])),
targets: [
{
alias: '$varAlias',
refId: 'A',
bucketAggs: [
{
type: 'date_histogram',
settings: { interval: 'auto' },
id: '2',
},
],
metrics: [{ type: 'logs', id: '1' }],
query: 'escape\\:test',
timeField: '@timestamp',
},
],
} as DataQueryRequest<ElasticsearchQuery>;
const queryBuilderSpy = jest.spyOn(ds.queryBuilder, 'getLogsQuery');
let response: any = {};
await expect(ds.query(query)).toEmitValuesWith((received) => {
expect(received.length).toBe(1);
response = received[0];
});
return { queryBuilderSpy, response };
}
it('should call getLogsQuery()', async () => {
const { queryBuilderSpy } = await setupDataSource();
expect(queryBuilderSpy).toHaveBeenCalled();
});
it('should enhance fields with links', async () => {
const { response } = await setupDataSource({
dataLinks: [
{
field: 'host',
url: 'http://localhost:3000/${__value.raw}',
},
],
});
expect(response.data.length).toBe(1);
const links = response.data[0].fields.find((field: Field) => field.name === 'host').config.links;
expect(links.length).toBe(1);
expect(links[0].url).toBe('http://localhost:3000/${__value.raw}');
});
});
describe('When issuing document query', () => {
async function runScenario() {
const range = createTimeRange(dateTime([2015, 4, 30, 10]), dateTime([2015, 5, 1, 10]));
const targets = [{ refId: 'A', metrics: [{ type: 'raw_document', id: '1' }], query: 'test' }];
const query: any = { range, targets };
const data = { responses: [] };
const { ds, fetchMock } = getTestContext({ jsonData: { esVersion: 2 }, data, database: 'test' });
await expect(ds.query(query)).toEmitValuesWith((received) => {
expect(received.length).toBe(1);
expect(received[0]).toEqual({ data: [] });
});
expect(fetchMock).toHaveBeenCalledTimes(1);
const requestOptions = fetchMock.mock.calls[0][0];
const parts = requestOptions.data.split('\n');
const header = JSON.parse(parts[0]);
const body = JSON.parse(parts[1]);
return { body, header };
}
it('should set search type to query_then_fetch', async () => {
const { header } = await runScenario();
expect(header.search_type).toEqual('query_then_fetch');
});
it('should set size', async () => {
const { body } = await runScenario();
expect(body.size).toBe(500);
});
});
describe('When getting an error on response', () => {
const query: DataQueryRequest<ElasticsearchQuery> = {
range: createTimeRange(toUtc([2020, 1, 1, 10]), toUtc([2020, 2, 1, 10])),
targets: [
{
refId: 'A',
alias: '$varAlias',
bucketAggs: [{ type: 'date_histogram', field: '@timestamp', id: '1' }],
metrics: [{ type: 'count', id: '1' }],
query: 'escape\\:test',
},
],
} as DataQueryRequest<ElasticsearchQuery>;
it('should process it properly', async () => {
const { ds } = getTestContext({
jsonData: { interval: 'Daily', esVersion: 7 },
data: {
took: 1,
responses: [
{
error: {
reason: 'all shards failed',
},
status: 400,
},
],
},
});
const errObject = {
data: '{\n "reason": "all shards failed"\n}',
message: 'all shards failed',
config: {
url: 'http://localhost:3000/api/tsdb/query',
},
};
await expect(ds.query(query)).toEmitValuesWith((received) => {
expect(received.length).toBe(1);
expect(received[0]).toEqual(errObject);
});
});
it('should properly throw an error with just a message', async () => {
const response: FetchResponse = {
data: {
error: 'Bad Request',
message: 'Authentication to data source failed',
},
status: 400,
url: 'http://localhost:3000/api/tsdb/query',
config: { url: 'http://localhost:3000/api/tsdb/query' },
type: 'basic',
statusText: 'Bad Request',
redirected: false,
headers: ({} as unknown) as Headers,
ok: false,
};
const { ds } = getTestContext({
mockImplementation: () => throwError(response),
});
const errObject = {
error: 'Bad Request',
message: 'Elasticsearch error: Authentication to data source failed',
};
await expect(ds.query(query)).toEmitValuesWith((received) => {
expect(received.length).toBe(1);
expect(received[0]).toEqual(errObject);
});
});
it('should properly throw an unknown error', async () => {
const { ds } = getTestContext({
jsonData: { interval: 'Daily', esVersion: 7 },
data: {
took: 1,
responses: [
{
error: {},
status: 400,
},
],
},
});
const errObject = {
data: '{}',
message: 'Unknown elastic error response',
config: {
url: 'http://localhost:3000/api/tsdb/query',
},
};
await expect(ds.query(query)).toEmitValuesWith((received) => {
expect(received.length).toBe(1);
expect(received[0]).toEqual(errObject);
});
});
});
describe('When getting fields', () => {
const data = {
metricbeat: {
mappings: {
metricsets: {
_all: {},
_meta: {
test: 'something',
},
properties: {
'@timestamp': { type: 'date' },
__timestamp: { type: 'date' },
'@timestampnano': { type: 'date_nanos' },
beat: {
properties: {
name: {
fields: { raw: { type: 'keyword' } },
type: 'string',
},
hostname: { type: 'string' },
},
},
system: {
properties: {
cpu: {
properties: {
system: { type: 'float' },
user: { type: 'float' },
},
},
process: {
properties: {
cpu: {
properties: {
total: { type: 'float' },
},
},
name: { type: 'string' },
},
},
},
},
},
},
},
},
};
it('should return nested fields', async () => {
const { ds } = getTestContext({ data, jsonData: { esVersion: 50 }, database: 'metricbeat' });
await expect(ds.getFields()).toEmitValuesWith((received) => {
expect(received.length).toBe(1);
const fieldObjects = received[0];
const fields = map(fieldObjects, 'text');
expect(fields).toEqual([
'@timestamp',
'__timestamp',
'@timestampnano',
'beat.name.raw',
'beat.name',
'beat.hostname',
'system.cpu.system',
'system.cpu.user',
'system.process.cpu.total',
'system.process.name',
]);
});
});
it('should return number fields', async () => {
const { ds } = getTestContext({ data, jsonData: { esVersion: 50 }, database: 'metricbeat' });
await expect(ds.getFields(['number'])).toEmitValuesWith((received) => {
expect(received.length).toBe(1);
const fieldObjects = received[0];
const fields = map(fieldObjects, 'text');
expect(fields).toEqual(['system.cpu.system', 'system.cpu.user', 'system.process.cpu.total']);
});
});
it('should return date fields', async () => {
const { ds } = getTestContext({ data, jsonData: { esVersion: 50 }, database: 'metricbeat' });
await expect(ds.getFields(['date'])).toEmitValuesWith((received) => {
expect(received.length).toBe(1);
const fieldObjects = received[0];
const fields = map(fieldObjects, 'text');
expect(fields).toEqual(['@timestamp', '__timestamp', '@timestampnano']);
});
});
});
describe('When getting field mappings on indices with gaps', () => {
const basicResponse = {
metricbeat: {
mappings: {
metricsets: {
_all: {},
properties: {
'@timestamp': { type: 'date' },
beat: {
properties: {
hostname: { type: 'string' },
},
},
},
},
},
},
};
const alternateResponse = {
metricbeat: {
mappings: {
metricsets: {
_all: {},
properties: {
'@timestamp': { type: 'date' },
},
},
},
},
};
it('should return fields of the newest available index', async () => {
const twoDaysBefore = toUtc().subtract(2, 'day').format('YYYY.MM.DD');
const threeDaysBefore = toUtc().subtract(3, 'day').format('YYYY.MM.DD');
const baseUrl = `${ELASTICSEARCH_MOCK_URL}/asd-${twoDaysBefore}/_mapping`;
const alternateUrl = `${ELASTICSEARCH_MOCK_URL}/asd-${threeDaysBefore}/_mapping`;
const { ds, timeSrv } = getTestContext({
from: 'now-2w',
jsonData: { interval: 'Daily', esVersion: 50 },
mockImplementation: (options) => {
if (options.url === baseUrl) {
return of(createFetchResponse(basicResponse));
} else if (options.url === alternateUrl) {
return of(createFetchResponse(alternateResponse));
}
return throwError({ status: 404 });
},
});
const range = timeSrv.timeRange();
await expect(ds.getFields(undefined, range)).toEmitValuesWith((received) => {
expect(received.length).toBe(1);
const fieldObjects = received[0];
const fields = map(fieldObjects, 'text');
expect(fields).toEqual(['@timestamp', 'beat.hostname']);
});
});
it('should not retry when ES is down', async () => {
const twoDaysBefore = toUtc().subtract(2, 'day').format('YYYY.MM.DD');
const { ds, timeSrv, fetchMock } = getTestContext({
from: 'now-2w',
jsonData: { interval: 'Daily', esVersion: 50 },
mockImplementation: (options) => {
if (options.url === `${ELASTICSEARCH_MOCK_URL}/asd-${twoDaysBefore}/_mapping`) {
return of(createFetchResponse(basicResponse));
}
return throwError({ status: 500 });
},
});
const range = timeSrv.timeRange();
await expect(ds.getFields(undefined, range)).toEmitValuesWith((received) => {
expect(received.length).toBe(1);
expect(received[0]).toStrictEqual({ status: 500 });
expect(fetchMock).toBeCalledTimes(1);
});
});
it('should not retry more than 7 indices', async () => {
const { ds, timeSrv, fetchMock } = getTestContext({
from: 'now-2w',
jsonData: { interval: 'Daily', esVersion: 50 },
mockImplementation: (options) => {
return throwError({ status: 404 });
},
});
const range = timeSrv.timeRange();
await expect(ds.getFields(undefined, range)).toEmitValuesWith((received) => {
expect(received.length).toBe(1);
expect(received[0]).toStrictEqual('Could not find an available index for this time range.');
expect(fetchMock).toBeCalledTimes(7);
});
});
});
describe('When getting fields from ES 7.0', () => {
const data = {
'genuine.es7._mapping.response': {
mappings: {
properties: {
'@timestamp_millis': {
type: 'date',
format: 'epoch_millis',
},
classification_terms: {
type: 'keyword',
},
domains: {
type: 'keyword',
},
ip_address: {
type: 'ip',
},
justification_blob: {
properties: {
criterion: {
type: 'text',
fields: {
keyword: {
type: 'keyword',
ignore_above: 256,
},
},
},
overall_vote_score: {
type: 'float',
},
shallow: {
properties: {
jsi: {
properties: {
sdb: {
properties: {
dsel2: {
properties: {
'bootlegged-gille': {
properties: {
botness: {
type: 'float',
},
general_algorithm_score: {
type: 'float',
},
},
},
'uncombed-boris': {
properties: {
botness: {
type: 'float',
},
general_algorithm_score: {
type: 'float',
},
},
},
},
},
},
},
},
},
},
},
},
},
overall_vote_score: {
type: 'float',
},
ua_terms_long: {
type: 'keyword',
},
ua_terms_short: {
type: 'keyword',
},
},
},
},
};
const dateFields = ['@timestamp_millis'];
const numberFields = [
'justification_blob.overall_vote_score',
'justification_blob.shallow.jsi.sdb.dsel2.bootlegged-gille.botness',
'justification_blob.shallow.jsi.sdb.dsel2.bootlegged-gille.general_algorithm_score',
'justification_blob.shallow.jsi.sdb.dsel2.uncombed-boris.botness',
'justification_blob.shallow.jsi.sdb.dsel2.uncombed-boris.general_algorithm_score',
'overall_vote_score',
];
it('should return nested fields', async () => {
const { ds } = getTestContext({ data, database: 'genuine.es7._mapping.response', jsonData: { esVersion: 70 } });
await expect(ds.getFields()).toEmitValuesWith((received) => {
expect(received.length).toBe(1);
const fieldObjects = received[0];
const fields = map(fieldObjects, 'text');
expect(fields).toEqual([
'@timestamp_millis',
'classification_terms',
'domains',
'ip_address',
'justification_blob.criterion.keyword',
'justification_blob.criterion',
'justification_blob.overall_vote_score',
'justification_blob.shallow.jsi.sdb.dsel2.bootlegged-gille.botness',
'justification_blob.shallow.jsi.sdb.dsel2.bootlegged-gille.general_algorithm_score',
'justification_blob.shallow.jsi.sdb.dsel2.uncombed-boris.botness',
'justification_blob.shallow.jsi.sdb.dsel2.uncombed-boris.general_algorithm_score',
'overall_vote_score',
'ua_terms_long',
'ua_terms_short',
]);
});
});
it('should return number fields', async () => {
const { ds } = getTestContext({ data, database: 'genuine.es7._mapping.response', jsonData: { esVersion: 70 } });
await expect(ds.getFields(['number'])).toEmitValuesWith((received) => {
expect(received.length).toBe(1);
const fieldObjects = received[0];
const fields = map(fieldObjects, 'text');
expect(fields).toEqual(numberFields);
});
});
it('should return date fields', async () => {
const { ds } = getTestContext({ data, database: 'genuine.es7._mapping.response', jsonData: { esVersion: 70 } });
await expect(ds.getFields(['date'])).toEmitValuesWith((received) => {
expect(received.length).toBe(1);
const fieldObjects = received[0];
const fields = map(fieldObjects, 'text');
expect(fields).toEqual(dateFields);
});
});
});
describe('When issuing aggregation query on es5.x', () => {
async function runScenario() {
const range = createTimeRange(dateTime([2015, 4, 30, 10]), dateTime([2015, 5, 1, 10]));
const targets = [
{
refId: 'A',
bucketAggs: [{ type: 'date_histogram', field: '@timestamp', id: '2' }],
metrics: [{ type: 'count', id: '1' }],
query: 'test',
},
];
const query: any = { range, targets };
const data = { responses: [] };
const { ds, fetchMock } = getTestContext({ jsonData: { esVersion: 5 }, data, database: 'test' });
await expect(ds.query(query)).toEmitValuesWith((received) => {
expect(received.length).toBe(1);
expect(received[0]).toEqual({ data: [] });
});
expect(fetchMock).toHaveBeenCalledTimes(1);
const requestOptions = fetchMock.mock.calls[0][0];
const parts = requestOptions.data.split('\n');
const header = JSON.parse(parts[0]);
const body = JSON.parse(parts[1]);
return { body, header };
}
it('should not set search type to count', async () => {
const { header } = await runScenario();
expect(header.search_type).not.toEqual('count');
});
it('should set size to 0', async () => {
const { body } = await runScenario();
expect(body.size).toBe(0);
});
});
describe('When issuing metricFind query on es5.x', () => {
async function runScenario() {
const data = {
responses: [
{
aggregations: {
'1': {
buckets: [
{ doc_count: 1, key: 'test' },
{
doc_count: 2,
key: 'test2',
key_as_string: 'test2_as_string',
},
],
},
},
},
],
};
const { ds, fetchMock } = getTestContext({ jsonData: { esVersion: 5 }, data, database: 'test' });
const results = await ds.metricFindQuery('{"find": "terms", "field": "test"}');
expect(fetchMock).toHaveBeenCalledTimes(1);
const requestOptions = fetchMock.mock.calls[0][0];
const parts = requestOptions.data.split('\n');
const header = JSON.parse(parts[0]);
const body = JSON.parse(parts[1]);
return { results, body, header };
}
it('should get results', async () => {
const { results } = await runScenario();
expect(results.length).toEqual(2);
});
it('should use key or key_as_string', async () => {
const { results } = await runScenario();
expect(results[0].text).toEqual('test');
expect(results[1].text).toEqual('test2_as_string');
});
it('should not set search type to count', async () => {
const { header } = await runScenario();
expect(header.search_type).not.toEqual('count');
});
it('should set size to 0', async () => {
const { body } = await runScenario();
expect(body.size).toBe(0);
});
it('should not set terms aggregation size to 0', async () => {
const { body } = await runScenario();
expect(body['aggs']['1']['terms'].size).not.toBe(0);
});
});
describe('query', () => {
it('should replace range as integer not string', async () => {
const { ds } = getTestContext({ jsonData: { interval: 'Daily', esVersion: 2, timeField: '@time' } });
const postMock = jest.fn((url: string, data: any) => of(createFetchResponse({ responses: [] })));
ds['post'] = postMock;
await expect(ds.query(createElasticQuery())).toEmitValuesWith((received) => {
expect(postMock).toHaveBeenCalledTimes(1);
const query = postMock.mock.calls[0][1];
expect(typeof JSON.parse(query.split('\n')[1]).query.bool.filter[0].range['@time'].gte).toBe('number');
});
});
});
it('should correctly interpolate variables in query', () => {
const { ds } = getTestContext();
const query: ElasticsearchQuery = {
refId: 'A',
bucketAggs: [{ type: 'filters', settings: { filters: [{ query: '$var', label: '' }] }, id: '1' }],
metrics: [{ type: 'count', id: '1' }],
query: '$var',
};
const interpolatedQuery = ds.interpolateVariablesInQueries([query], {})[0];
expect(interpolatedQuery.query).toBe('resolvedVariable');
expect((interpolatedQuery.bucketAggs![0] as Filters).settings!.filters![0].query).toBe('resolvedVariable');
});
it('should correctly handle empty query strings', () => {
const { ds } = getTestContext();
const query: ElasticsearchQuery = {
refId: 'A',
bucketAggs: [{ type: 'filters', settings: { filters: [{ query: '', label: '' }] }, id: '1' }],
metrics: [{ type: 'count', id: '1' }],
query: '',
};
const interpolatedQuery = ds.interpolateVariablesInQueries([query], {})[0];
expect(interpolatedQuery.query).toBe('*');
expect((interpolatedQuery.bucketAggs![0] as Filters).settings!.filters![0].query).toBe('*');
});
});
describe('getMultiSearchUrl', () => {
describe('When esVersion >= 6.6.0', () => {
it('Should add correct params to URL if "includeFrozen" is enabled', () => {
const { ds } = getTestContext({ jsonData: { esVersion: '6.6.0', includeFrozen: true, xpack: true } });
expect(ds.getMultiSearchUrl()).toMatch(/ignore_throttled=false/);
});
it('Should NOT add ignore_throttled if "includeFrozen" is disabled', () => {
const { ds } = getTestContext({ jsonData: { esVersion: '6.6.0', includeFrozen: false, xpack: true } });
expect(ds.getMultiSearchUrl()).not.toMatch(/ignore_throttled=false/);
});
it('Should NOT add ignore_throttled if "xpack" is disabled', () => {
const { ds } = getTestContext({ jsonData: { esVersion: '6.6.0', includeFrozen: true, xpack: false } });
expect(ds.getMultiSearchUrl()).not.toMatch(/ignore_throttled=false/);
});
});
describe('When esVersion < 6.6.0', () => {
it('Should NOT add ignore_throttled params regardless of includeFrozen', () => {
const { ds: dsWithIncludeFrozen } = getTestContext({
jsonData: { esVersion: '5.6.0', includeFrozen: false, xpack: true },
});
const { ds: dsWithoutIncludeFrozen } = getTestContext({
jsonData: { esVersion: '5.6.0', includeFrozen: true, xpack: true },
});
expect(dsWithIncludeFrozen.getMultiSearchUrl()).not.toMatch(/ignore_throttled=false/);
expect(dsWithoutIncludeFrozen.getMultiSearchUrl()).not.toMatch(/ignore_throttled=false/);
});
});
});
describe('enhanceDataFrame', () => {
it('adds links to dataframe', () => {
const df = new MutableDataFrame({
fields: [
{
name: 'urlField',
values: new ArrayVector([]),
},
{
name: 'traceField',
values: new ArrayVector([]),
},
],
});
enhanceDataFrame(df, [
{
field: 'urlField',
url: 'someUrl',
},
{
field: 'traceField',
url: 'query',
datasourceUid: 'dsUid',
},
]);
expect(df.fields[0].config.links!.length).toBe(1);
expect(df.fields[0].config.links![0]).toEqual({
title: '',
url: 'someUrl',
});
expect(df.fields[1].config.links!.length).toBe(1);
expect(df.fields[1].config.links![0]).toEqual({
title: '',
url: '',
internal: {
query: { query: 'query' },
datasourceName: 'elastic25',
datasourceUid: 'dsUid',
},
});
});
it('adds limit to dataframe', () => {
const df = new MutableDataFrame({
fields: [
{
name: 'someField',
values: new ArrayVector([]),
},
],
});
enhanceDataFrame(df, [], 10);
expect(df.meta?.limit).toBe(10);
});
});
const createElasticQuery = (): DataQueryRequest<ElasticsearchQuery> => {
return {
requestId: '',
dashboardId: 0,
interval: '',
panelId: 0,
intervalMs: 1,
scopedVars: {},
timezone: '',
app: CoreApp.Dashboard,
startTime: 0,
range: {
from: dateTime([2015, 4, 30, 10]),
to: dateTime([2015, 5, 1, 10]),
} as any,
targets: [
{
refId: '',
bucketAggs: [{ type: 'date_histogram', field: '@timestamp', id: '2' }],
metrics: [{ type: 'count', id: '' }],
query: 'test',
},
],
};
};
const logsResponse = {
data: {
responses: [
{
aggregations: {
'2': {
buckets: [
{
doc_count: 10,
key: 1000,
},
{
doc_count: 15,
key: 2000,
},
],
},
},
hits: {
hits: [
{
'@timestamp': ['2019-06-24T09:51:19.765Z'],
_id: 'fdsfs',
_type: '_doc',
_index: 'mock-index',
_source: {
'@timestamp': '2019-06-24T09:51:19.765Z',
host: 'djisaodjsoad',
message: 'hello, i am a message',
},
fields: {
'@timestamp': ['2019-06-24T09:51:19.765Z'],
},
},
{
'@timestamp': ['2019-06-24T09:52:19.765Z'],
_id: 'kdospaidopa',
_type: '_doc',
_index: 'mock-index',
_source: {
'@timestamp': '2019-06-24T09:52:19.765Z',
host: 'dsalkdakdop',
message: 'hello, i am also message',
},
fields: {
'@timestamp': ['2019-06-24T09:52:19.765Z'],
},
},
],
},
},
],
},
};