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Postgres Data Source (#9475)
* add postgresql datasource * add rest of files for postgres datasource * fix timeseries query, remove unused code * consistent naming, refactoring * s/mysql/postgres/ * s/mysql/postgres/ * couple more tests * tests for more datatypes * fix macros for postgres * add __timeSec macro * add frontend for postgres datasource * adjust documentation * fix formatting * add proper plugin description * merge editor changes from mysql * port changes from mysql datasource * set proper defaultQuery for postgres * add time_sec to timeseries query accept int for value for timeseries query * revert allowing time_sec and handle int or float values as unix timestamp for "time" column * fix tslint error * handle decimal values in timeseries query * allow setting sslmode for postgres datasource * use type switch for handling data types * fix value for timeseries query * refactor timeseries queries to make them more flexible * remove debug statement from inner loop in type conversion * use plain for loop in getTypedRowData * fix timeseries queries * adjust postgres datasource to tsdb refactoring * adjust postgres datasource to frontend changes * update lib/pq to latest version * move type conversion to getTypedRowData * handle address types cidr, inet and macaddr * adjust response parser and docs for annotations * convert unknown types to string * add documentation for postgres datasource * add another example query with metric column * set more helpful default query * update help text in query editor * handle NULL in value column of timeseries query * add __timeGroup macro * add test for __timeGroup macro * document __timeGroup and set proper default query for annotations * fix typos in docs * add postgres to list of datasources * add postgres to builtInPlugins * mysql: refactoring as prep for merging postgres Refactors out the initialization of the xorm engine and the query logic for an sql data source. * mysql: rename refactoring + test update * postgres:refactor to use SqlEngine(same as mysql) Refactored to use a common base class with the MySql data source. Other changes from the original PR: - Changed time column to be time_sec to allow other time units in the future and to be the same as MySQL - Changed integration test to test the main Query method rather than the private transformToTable method - Changed the __timeSec macro name to __timeEpoch - Renamed PostgresExecutor to PostgresQueryEndpoint Fixes #9209 (the original PR) * postgres: encrypt password on config page With some other cosmetic changes to the config page: - placeholder texts - reset button for the password after it has been encrypted. - default value for the sslmode field. * postgres: change back col name to time from time_sec * postgres mysql: remove annotation title Title has been removed from annotations * postgres: fix images for docs page * postgres mysql: fix specs
This commit is contained in:
196
public/app/plugins/datasource/postgres/specs/datasource_specs.ts
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196
public/app/plugins/datasource/postgres/specs/datasource_specs.ts
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import {describe, beforeEach, it, expect, angularMocks} from 'test/lib/common';
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import moment from 'moment';
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import helpers from 'test/specs/helpers';
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import {PostgresDatasource} from '../datasource';
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describe('PostgreSQLDatasource', function() {
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var ctx = new helpers.ServiceTestContext();
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var instanceSettings = {name: 'postgresql'};
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beforeEach(angularMocks.module('grafana.core'));
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beforeEach(angularMocks.module('grafana.services'));
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beforeEach(ctx.providePhase(['backendSrv']));
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beforeEach(angularMocks.inject(function($q, $rootScope, $httpBackend, $injector) {
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ctx.$q = $q;
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ctx.$httpBackend = $httpBackend;
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ctx.$rootScope = $rootScope;
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ctx.ds = $injector.instantiate(PostgresDatasource, {instanceSettings: instanceSettings});
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$httpBackend.when('GET', /\.html$/).respond('');
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}));
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describe('When performing annotationQuery', function() {
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let results;
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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: moment(1432288354),
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to: moment(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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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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]
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}
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]
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}
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}
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};
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beforeEach(function() {
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ctx.backendSrv.datasourceRequest = function(options) {
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return ctx.$q.when({data: response, status: 200});
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};
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ctx.ds.annotationQuery(options).then(function(data) { results = data; });
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ctx.$rootScope.$apply();
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});
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it('should return annotation list', function() {
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expect(results.length).to.be(3);
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expect(results[0].text).to.be('some text');
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expect(results[0].tags[0]).to.be('TagA');
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expect(results[0].tags[1]).to.be('TagB');
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expect(results[1].tags[0]).to.be('TagB');
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expect(results[1].tags[1]).to.be('TagC');
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expect(results[2].tags.length).to.be(0);
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});
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});
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describe('When performing metricFindQuery', function() {
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let results;
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const query = 'select * from atable';
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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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]
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}
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}
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};
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beforeEach(function() {
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ctx.backendSrv.datasourceRequest = function(options) {
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return ctx.$q.when({data: response, status: 200});
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};
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ctx.ds.metricFindQuery(query).then(function(data) { results = data; });
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ctx.$rootScope.$apply();
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});
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it('should return list of all column values', function() {
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expect(results.length).to.be(6);
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expect(results[0].text).to.be('aTitle');
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expect(results[5].text).to.be('some text3');
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});
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});
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describe('When performing metricFindQuery with key, value columns', function() {
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let results;
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const query = 'select * from atable';
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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: '__value'}, {text: '__text'}],
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rows: [
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['value1', 'aTitle'],
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['value2', 'aTitle2'],
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['value3', 'aTitle3']
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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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beforeEach(function() {
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ctx.backendSrv.datasourceRequest = function(options) {
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return ctx.$q.when({data: response, status: 200});
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};
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ctx.ds.metricFindQuery(query).then(function(data) { results = data; });
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ctx.$rootScope.$apply();
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});
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it('should return list of as text, value', function() {
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expect(results.length).to.be(3);
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expect(results[0].text).to.be('aTitle');
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expect(results[0].value).to.be('value1');
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expect(results[2].text).to.be('aTitle3');
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expect(results[2].value).to.be('value3');
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});
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});
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describe('When performing metricFindQuery with key, value columns and with duplicate keys', function() {
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let results;
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const query = 'select * from atable';
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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: '__text'}, {text: '__value'}],
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rows: [
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['aTitle', 'same'],
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['aTitle', 'same'],
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['aTitle', 'diff']
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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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beforeEach(function() {
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ctx.backendSrv.datasourceRequest = function(options) {
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return ctx.$q.when({data: response, status: 200});
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};
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ctx.ds.metricFindQuery(query).then(function(data) { results = data; });
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ctx.$rootScope.$apply();
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});
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it('should return list of unique keys', function() {
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expect(results.length).to.be(1);
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expect(results[0].text).to.be('aTitle');
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expect(results[0].value).to.be('same');
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});
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});
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});
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