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SQL data sources: Convert to return data frames (#32257)
Convert SQL data sources to return data frames. Co-authored-by: Marcus Efraimsson <marcus.efraimsson@gmail.com> Co-authored-by: Arve Knudsen <arve.knudsen@gmail.com> Co-authored-by: Will Browne <will.browne@grafana.com> Co-authored-by: Hugo Häggmark <hugo.haggmark@gmail.com>
This commit is contained in:
ying-jeanne
@ -1,25 +1,47 @@
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import { of } from 'rxjs';
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import { TestScheduler } from 'rxjs/testing';
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import { FetchResponse } from '@grafana/runtime';
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import { dateTime, toUtc } from '@grafana/data';
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import {
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dataFrameToJSON,
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DataQueryRequest,
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DataSourceInstanceSettings,
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dateTime,
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MutableDataFrame,
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toUtc,
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} from '@grafana/data';
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import { PostgresDatasource } from '../datasource';
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import { backendSrv } from 'app/core/services/backend_srv'; // will use the version in __mocks__
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import { TemplateSrv } from 'app/features/templating/template_srv';
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import { initialCustomVariableModelState } from '../../../../features/variables/custom/reducer';
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import { TimeSrv } from '../../../../features/dashboard/services/TimeSrv';
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import { PostgresOptions, PostgresQuery } from '../types';
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jest.mock('@grafana/runtime', () => ({
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...((jest.requireActual('@grafana/runtime') as unknown) as object),
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getBackendSrv: () => backendSrv,
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}));
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jest.mock('@grafana/runtime/src/services', () => ({
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...((jest.requireActual('@grafana/runtime/src/services') as unknown) as object),
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getBackendSrv: () => backendSrv,
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getDataSourceSrv: () => {
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return {
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getInstanceSettings: () => ({ id: 8674 }),
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};
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},
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}));
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describe('PostgreSQLDatasource', () => {
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const fetchMock = jest.spyOn(backendSrv, 'fetch');
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const setupTestContext = (data: any) => {
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jest.clearAllMocks();
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fetchMock.mockImplementation(() => of(createFetchResponse(data)));
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const instanceSettings = ({
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jsonData: {
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defaultProject: 'testproject',
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},
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} as unknown) as DataSourceInstanceSettings<PostgresOptions>;
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const templateSrv: TemplateSrv = new TemplateSrv();
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const raw = {
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from: toUtc('2018-04-25 10:00'),
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@ -33,7 +55,7 @@ describe('PostgreSQLDatasource', () => {
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}),
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} as unknown) as TimeSrv;
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const variable = { ...initialCustomVariableModelState };
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const ds = new PostgresDatasource({ name: 'dsql' }, templateSrv, timeSrvMock);
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const ds = new PostgresDatasource(instanceSettings, templateSrv, timeSrvMock);
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return { ds, templateSrv, timeSrvMock, variable };
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};
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@ -80,42 +102,66 @@ describe('PostgreSQLDatasource', () => {
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},
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],
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};
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const data = {
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const response = {
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results: {
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A: {
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refId: 'A',
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meta: {
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executedQueryString: 'select time, metric from grafana_metric',
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rowCount: 0,
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},
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series: [
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{
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name: 'America',
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points: [[30.226249741223704, 1599643351085]],
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},
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frames: [
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dataFrameToJSON(
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new MutableDataFrame({
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fields: [
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{ name: 'time', values: [1599643351085] },
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{ name: 'metric', values: [30.226249741223704], labels: { metric: 'America' } },
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],
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meta: {
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executedQueryString: 'select time, metric from grafana_metric',
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},
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})
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),
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],
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tables: null,
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},
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},
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};
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const values = { a: createFetchResponse(data) };
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const values = { a: createFetchResponse(response) };
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const marble = '-a|';
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const expectedMarble = '-a|';
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const expectedValues = {
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a: {
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data: [
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{
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datapoints: [[30.226249741223704, 1599643351085]],
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fields: [
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{
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config: {},
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entities: {},
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name: 'time',
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type: 'time',
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values: {
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buffer: [1599643351085],
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},
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},
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{
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config: {},
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entities: {},
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labels: {
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metric: 'America',
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},
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name: 'metric',
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type: 'number',
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values: {
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buffer: [30.226249741223704],
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},
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},
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],
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length: 1,
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meta: {
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executedQueryString: 'select time, metric from grafana_metric',
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rowCount: 0,
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},
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name: undefined,
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refId: 'A',
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target: 'America',
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},
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],
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state: 'Done',
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},
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};
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@ -140,63 +186,73 @@ describe('PostgreSQLDatasource', () => {
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},
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],
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};
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const data = {
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const response = {
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results: {
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A: {
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refId: 'A',
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meta: {
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executedQueryString: 'select time, metric, value from grafana_metric',
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rowCount: 1,
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},
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series: null,
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tables: [
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{
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columns: [
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{
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text: 'time',
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frames: [
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dataFrameToJSON(
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new MutableDataFrame({
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fields: [
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{ name: 'time', values: [1599643351085] },
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{ name: 'metric', values: ['America'] },
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{ name: 'value', values: [30.226249741223704] },
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],
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meta: {
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executedQueryString: 'select time, metric, value from grafana_metric',
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},
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{
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text: 'metric',
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},
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{
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text: 'value',
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},
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],
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rows: [[1599643351085, 'America', 30.226249741223704]],
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},
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})
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),
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],
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},
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},
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};
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const values = { a: createFetchResponse(data) };
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const values = { a: createFetchResponse(response) };
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const marble = '-a|';
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const expectedMarble = '-a|';
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const expectedValues = {
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a: {
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data: [
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{
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columns: [
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fields: [
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{
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text: 'time',
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config: {},
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entities: {},
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name: 'time',
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type: 'time',
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values: {
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buffer: [1599643351085],
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},
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},
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{
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text: 'metric',
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config: {},
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entities: {},
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name: 'metric',
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type: 'string',
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values: {
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buffer: ['America'],
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},
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},
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{
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text: 'value',
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config: {},
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entities: {},
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name: 'value',
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type: 'number',
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values: {
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buffer: [30.226249741223704],
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},
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},
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],
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rows: [[1599643351085, 'America', 30.226249741223704]],
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type: 'table',
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refId: 'A',
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length: 1,
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meta: {
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executedQueryString: 'select time, metric, value from grafana_metric',
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rowCount: 1,
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},
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name: undefined,
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refId: 'A',
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},
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],
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state: 'Done',
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},
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};
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@ -206,7 +262,7 @@ describe('PostgreSQLDatasource', () => {
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describe('When performing a query with hidden target', () => {
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it('should return empty result and backendSrv.fetch should not be called', async () => {
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const options = {
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const options = ({
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range: {
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from: dateTime(1432288354),
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to: dateTime(1432288401),
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@ -221,7 +277,7 @@ describe('PostgreSQLDatasource', () => {
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hide: true,
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},
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],
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};
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} as unknown) as DataQueryRequest<PostgresQuery>;
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const { ds } = setupTestContext({});
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@ -233,40 +289,42 @@ describe('PostgreSQLDatasource', () => {
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});
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describe('When performing annotationQuery', () => {
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it('should return annotation list', async () => {
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const annotationName = 'MyAnno';
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const options = {
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annotation: {
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name: annotationName,
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rawQuery: 'select time, title, text, tags from table;',
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},
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range: {
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from: dateTime(1432288354),
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to: dateTime(1432288401),
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},
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};
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const data = {
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results: {
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MyAnno: {
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refId: annotationName,
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tables: [
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{
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columns: [{ text: 'time' }, { text: 'text' }, { text: 'tags' }],
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rows: [
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[1432288355, 'some text', 'TagA,TagB'],
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[1432288390, 'some text2', ' TagB , TagC'],
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[1432288400, 'some text3'],
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let results: any;
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const annotationName = 'MyAnno';
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const options = {
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annotation: {
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name: annotationName,
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rawQuery: 'select time, title, text, tags from table;',
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},
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range: {
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from: dateTime(1432288354),
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to: dateTime(1432288401),
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},
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};
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const response = {
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results: {
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MyAnno: {
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frames: [
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dataFrameToJSON(
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new MutableDataFrame({
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fields: [
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{ name: 'time', values: [1432288355, 1432288390, 1432288400] },
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{ name: 'text', values: ['some text', 'some text2', 'some text3'] },
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{ name: 'tags', values: ['TagA,TagB', ' TagB , TagC', null] },
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],
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},
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],
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},
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})
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),
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],
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},
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};
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},
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};
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const { ds } = setupTestContext(data);
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const results = await ds.annotationQuery(options);
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beforeEach(async () => {
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const { ds } = setupTestContext(response);
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results = await ds.annotationQuery(options);
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});
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it('should return annotation list', async () => {
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expect(results.length).toBe(3);
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expect(results[0].text).toBe('some text');
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@ -283,29 +341,28 @@ describe('PostgreSQLDatasource', () => {
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describe('When performing metricFindQuery', () => {
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it('should return list of all column values', async () => {
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const query = 'select * from atable';
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const data = {
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const response = {
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results: {
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tempvar: {
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meta: {
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rowCount: 3,
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},
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refId: 'tempvar',
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tables: [
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{
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columns: [{ text: 'title' }, { text: 'text' }],
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rows: [
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['aTitle', 'some text'],
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['aTitle2', 'some text2'],
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['aTitle3', 'some text3'],
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],
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},
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frames: [
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dataFrameToJSON(
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new MutableDataFrame({
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fields: [
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{ name: 'title', values: ['aTitle', 'aTitle2', 'aTitle3'] },
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{ name: 'text', values: ['some text', 'some text2', 'some text3'] },
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],
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meta: {
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executedQueryString: 'select * from atable',
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},
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})
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),
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],
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},
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},
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};
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const { ds } = setupTestContext(data);
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const { ds } = setupTestContext(response);
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const results = await ds.metricFindQuery(query, {});
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expect(results.length).toBe(6);
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@ -317,29 +374,28 @@ describe('PostgreSQLDatasource', () => {
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describe('When performing metricFindQuery with $__searchFilter and a searchFilter is given', () => {
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it('should return list of all column values', async () => {
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const query = "select title from atable where title LIKE '$__searchFilter'";
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const data = {
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const response = {
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results: {
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tempvar: {
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meta: {
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rowCount: 3,
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},
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refId: 'tempvar',
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tables: [
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{
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columns: [{ text: 'title' }, { text: 'text' }],
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rows: [
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['aTitle', 'some text'],
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['aTitle2', 'some text2'],
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['aTitle3', 'some text3'],
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],
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},
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frames: [
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dataFrameToJSON(
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new MutableDataFrame({
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fields: [
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{ name: 'title', values: ['aTitle', 'aTitle2', 'aTitle3'] },
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{ name: 'text', values: ['some text', 'some text2', 'some text3'] },
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],
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meta: {
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executedQueryString: 'select * from atable',
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},
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})
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),
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],
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},
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},
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};
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const { ds } = setupTestContext(data);
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const { ds } = setupTestContext(response);
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const results = await ds.metricFindQuery(query, { searchFilter: 'aTit' });
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expect(fetchMock).toBeCalledTimes(1);
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@ -348,10 +404,10 @@ describe('PostgreSQLDatasource', () => {
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);
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expect(results).toEqual([
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{ text: 'aTitle' },
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{ text: 'some text' },
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{ text: 'aTitle2' },
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{ text: 'some text2' },
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{ text: 'aTitle3' },
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{ text: 'some text' },
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{ text: 'some text2' },
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{ text: 'some text3' },
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]);
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});
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@ -360,39 +416,38 @@ describe('PostgreSQLDatasource', () => {
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describe('When performing metricFindQuery with $__searchFilter but no searchFilter is given', () => {
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it('should return list of all column values', async () => {
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const query = "select title from atable where title LIKE '$__searchFilter'";
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const data = {
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const response = {
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results: {
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tempvar: {
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meta: {
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rowCount: 3,
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},
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refId: 'tempvar',
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tables: [
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{
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columns: [{ text: 'title' }, { text: 'text' }],
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rows: [
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['aTitle', 'some text'],
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['aTitle2', 'some text2'],
|
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['aTitle3', 'some text3'],
|
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],
|
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},
|
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frames: [
|
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dataFrameToJSON(
|
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new MutableDataFrame({
|
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fields: [
|
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{ name: 'title', values: ['aTitle', 'aTitle2', 'aTitle3'] },
|
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{ name: 'text', values: ['some text', 'some text2', 'some text3'] },
|
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],
|
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meta: {
|
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executedQueryString: 'select * from atable',
|
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},
|
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})
|
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),
|
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],
|
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},
|
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},
|
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};
|
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|
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const { ds } = setupTestContext(data);
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|
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const { ds } = setupTestContext(response);
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const results = await ds.metricFindQuery(query, {});
|
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expect(fetchMock).toBeCalledTimes(1);
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expect(fetchMock.mock.calls[0][0].data.queries[0].rawSql).toBe("select title from atable where title LIKE '%'");
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expect(results).toEqual([
|
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{ text: 'aTitle' },
|
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{ text: 'some text' },
|
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{ text: 'aTitle2' },
|
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{ text: 'some text2' },
|
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{ text: 'aTitle3' },
|
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{ text: 'some text' },
|
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{ text: 'some text2' },
|
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{ text: 'some text3' },
|
||||
]);
|
||||
});
|
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@ -401,29 +456,27 @@ describe('PostgreSQLDatasource', () => {
|
||||
describe('When performing metricFindQuery with key, value columns', () => {
|
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it('should return list of as text, value', async () => {
|
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const query = 'select * from atable';
|
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const data = {
|
||||
const response = {
|
||||
results: {
|
||||
tempvar: {
|
||||
meta: {
|
||||
rowCount: 3,
|
||||
},
|
||||
refId: 'tempvar',
|
||||
tables: [
|
||||
{
|
||||
columns: [{ text: '__value' }, { text: '__text' }],
|
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rows: [
|
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['value1', 'aTitle'],
|
||||
['value2', 'aTitle2'],
|
||||
['value3', 'aTitle3'],
|
||||
],
|
||||
},
|
||||
frames: [
|
||||
dataFrameToJSON(
|
||||
new MutableDataFrame({
|
||||
fields: [
|
||||
{ name: '__value', values: ['value1', 'value2', 'value3'] },
|
||||
{ name: '__text', values: ['aTitle', 'aTitle2', 'aTitle3'] },
|
||||
],
|
||||
meta: {
|
||||
executedQueryString: 'select * from atable',
|
||||
},
|
||||
})
|
||||
),
|
||||
],
|
||||
},
|
||||
},
|
||||
};
|
||||
|
||||
const { ds } = setupTestContext(data);
|
||||
|
||||
const { ds } = setupTestContext(response);
|
||||
const results = await ds.metricFindQuery(query, {});
|
||||
|
||||
expect(results).toEqual([
|
||||
@ -437,29 +490,27 @@ describe('PostgreSQLDatasource', () => {
|
||||
describe('When performing metricFindQuery with key, value columns and with duplicate keys', () => {
|
||||
it('should return list of unique keys', async () => {
|
||||
const query = 'select * from atable';
|
||||
const data = {
|
||||
const response = {
|
||||
results: {
|
||||
tempvar: {
|
||||
meta: {
|
||||
rowCount: 3,
|
||||
},
|
||||
refId: 'tempvar',
|
||||
tables: [
|
||||
{
|
||||
columns: [{ text: '__text' }, { text: '__value' }],
|
||||
rows: [
|
||||
['aTitle', 'same'],
|
||||
['aTitle', 'same'],
|
||||
['aTitle', 'diff'],
|
||||
],
|
||||
},
|
||||
frames: [
|
||||
dataFrameToJSON(
|
||||
new MutableDataFrame({
|
||||
fields: [
|
||||
{ name: '__text', values: ['aTitle', 'aTitle', 'aTitle'] },
|
||||
{ name: '__value', values: ['same', 'same', 'diff'] },
|
||||
],
|
||||
meta: {
|
||||
executedQueryString: 'select * from atable',
|
||||
},
|
||||
})
|
||||
),
|
||||
],
|
||||
},
|
||||
},
|
||||
};
|
||||
|
||||
const { ds } = setupTestContext(data);
|
||||
|
||||
const { ds } = setupTestContext(response);
|
||||
const results = await ds.metricFindQuery(query, {});
|
||||
|
||||
expect(results).toEqual([{ text: 'aTitle', value: 'same' }]);
|
||||
|
||||
@ -1,4 +1,4 @@
|
||||
import PostgresQuery from '../postgres_query';
|
||||
import PostgresQueryModel from '../postgres_query_model';
|
||||
import { TemplateSrv } from 'app/features/templating/template_srv';
|
||||
|
||||
describe('PostgresQuery', () => {
|
||||
@ -9,17 +9,17 @@ describe('PostgresQuery', () => {
|
||||
|
||||
describe('When initializing', () => {
|
||||
it('should not be in SQL mode', () => {
|
||||
const query = new PostgresQuery({}, templateSrv);
|
||||
const query = new PostgresQueryModel({}, templateSrv);
|
||||
expect(query.target.rawQuery).toBe(false);
|
||||
});
|
||||
it('should be in SQL mode for pre query builder queries', () => {
|
||||
const query = new PostgresQuery({ rawSql: 'SELECT 1' }, templateSrv);
|
||||
const query = new PostgresQueryModel({ rawSql: 'SELECT 1' }, templateSrv);
|
||||
expect(query.target.rawQuery).toBe(true);
|
||||
});
|
||||
});
|
||||
|
||||
describe('When generating time column SQL', () => {
|
||||
const query = new PostgresQuery({}, templateSrv);
|
||||
const query = new PostgresQueryModel({}, templateSrv);
|
||||
|
||||
query.target.timeColumn = 'time';
|
||||
expect(query.buildTimeColumn()).toBe('time AS "time"');
|
||||
@ -28,17 +28,20 @@ describe('PostgresQuery', () => {
|
||||
});
|
||||
|
||||
describe('When generating time column SQL with group by time', () => {
|
||||
let query = new PostgresQuery(
|
||||
let query = new PostgresQueryModel(
|
||||
{ timeColumn: 'time', group: [{ type: 'time', params: ['5m', 'none'] }] },
|
||||
templateSrv
|
||||
);
|
||||
expect(query.buildTimeColumn()).toBe('$__timeGroupAlias(time,5m)');
|
||||
expect(query.buildTimeColumn(false)).toBe('$__timeGroup(time,5m)');
|
||||
|
||||
query = new PostgresQuery({ timeColumn: 'time', group: [{ type: 'time', params: ['5m', 'NULL'] }] }, templateSrv);
|
||||
query = new PostgresQueryModel(
|
||||
{ timeColumn: 'time', group: [{ type: 'time', params: ['5m', 'NULL'] }] },
|
||||
templateSrv
|
||||
);
|
||||
expect(query.buildTimeColumn()).toBe('$__timeGroupAlias(time,5m,NULL)');
|
||||
|
||||
query = new PostgresQuery(
|
||||
query = new PostgresQueryModel(
|
||||
{ timeColumn: 'time', timeColumnType: 'int4', group: [{ type: 'time', params: ['5m', 'none'] }] },
|
||||
templateSrv
|
||||
);
|
||||
@ -47,7 +50,7 @@ describe('PostgresQuery', () => {
|
||||
});
|
||||
|
||||
describe('When generating metric column SQL', () => {
|
||||
const query = new PostgresQuery({}, templateSrv);
|
||||
const query = new PostgresQueryModel({}, templateSrv);
|
||||
|
||||
query.target.metricColumn = 'host';
|
||||
expect(query.buildMetricColumn()).toBe('host AS metric');
|
||||
@ -56,7 +59,7 @@ describe('PostgresQuery', () => {
|
||||
});
|
||||
|
||||
describe('When generating value column SQL', () => {
|
||||
const query = new PostgresQuery({}, templateSrv);
|
||||
const query = new PostgresQueryModel({}, templateSrv);
|
||||
|
||||
let column = [{ type: 'column', params: ['value'] }];
|
||||
expect(query.buildValueColumn(column)).toBe('value');
|
||||
@ -84,7 +87,7 @@ describe('PostgresQuery', () => {
|
||||
});
|
||||
|
||||
describe('When generating value column SQL with metric column', () => {
|
||||
const query = new PostgresQuery({}, templateSrv);
|
||||
const query = new PostgresQueryModel({}, templateSrv);
|
||||
query.target.metricColumn = 'host';
|
||||
|
||||
let column = [{ type: 'column', params: ['value'] }];
|
||||
@ -124,7 +127,7 @@ describe('PostgresQuery', () => {
|
||||
});
|
||||
|
||||
describe('When generating WHERE clause', () => {
|
||||
const query = new PostgresQuery({ where: [] }, templateSrv);
|
||||
const query = new PostgresQueryModel({ where: [] }, templateSrv);
|
||||
|
||||
expect(query.buildWhereClause()).toBe('');
|
||||
|
||||
@ -143,7 +146,7 @@ describe('PostgresQuery', () => {
|
||||
});
|
||||
|
||||
describe('When generating GROUP BY clause', () => {
|
||||
const query = new PostgresQuery({ group: [], metricColumn: 'none' }, templateSrv);
|
||||
const query = new PostgresQueryModel({ group: [], metricColumn: 'none' }, templateSrv);
|
||||
|
||||
expect(query.buildGroupClause()).toBe('');
|
||||
query.target.group = [{ type: 'time', params: ['5m'] }];
|
||||
@ -160,7 +163,7 @@ describe('PostgresQuery', () => {
|
||||
where: [],
|
||||
};
|
||||
let result = 'SELECT\n t AS "time",\n value\nFROM table\nORDER BY 1';
|
||||
const query = new PostgresQuery(target, templateSrv);
|
||||
const query = new PostgresQueryModel(target, templateSrv);
|
||||
|
||||
expect(query.buildQuery()).toBe(result);
|
||||
|
||||
|
||||
Reference in New Issue
Block a user