mirror of
https://github.com/elastic/kibana.git
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135 lines
4.5 KiB
TypeScript
135 lines
4.5 KiB
TypeScript
/*
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* Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one
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* or more contributor license agreements. Licensed under the Elastic License
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* 2.0; you may not use this file except in compliance with the Elastic License
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* 2.0.
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*/
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import expect from '@kbn/expect';
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import { estypes } from '@elastic/elasticsearch';
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import {
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ELASTIC_HTTP_VERSION_HEADER,
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X_ELASTIC_INTERNAL_ORIGIN_REQUEST,
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} from '@kbn/core-http-common';
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import { FtrProviderContext } from '../../ftr_provider_context';
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export default function ({ getService }: FtrProviderContext) {
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const supertest = getService('supertest');
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describe('maps_telemetry', () => {
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it('should return the correct telemetry values for map saved objects', async () => {
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const {
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body: [{ stats: apiResponse }],
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} = await supertest
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.post(`/internal/telemetry/clusters/_stats`)
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.set(ELASTIC_HTTP_VERSION_HEADER, '2')
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.set(X_ELASTIC_INTERNAL_ORIGIN_REQUEST, 'kibana')
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.set('kbn-xsrf', 'xxxx')
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.send({
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unencrypted: true,
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refreshCache: true,
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})
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.expect(200);
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const geoPointFieldStats = apiResponse.cluster_stats.indices.mappings.field_types.find(
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(fieldStat: estypes.ClusterStatsFieldTypes) => {
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return fieldStat.name === 'geo_point';
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}
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);
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expect(geoPointFieldStats.count).to.be(31);
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expect(geoPointFieldStats.index_count).to.be(9);
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const geoShapeFieldStats = apiResponse.cluster_stats.indices.mappings.field_types.find(
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(fieldStat: estypes.ClusterStatsFieldTypes) => {
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return fieldStat.name === 'geo_shape';
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}
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);
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expect(geoShapeFieldStats.count).to.be(3);
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expect(geoShapeFieldStats.index_count).to.be(3);
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const mapUsage = apiResponse.stack_stats.kibana.plugins.maps;
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delete mapUsage.timeCaptured;
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expect(mapUsage).eql({
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mapsTotalCount: 27,
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basemaps: {},
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joins: { term: { min: 1, max: 1, total: 4, avg: 0.14814814814814814 } },
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layerTypes: {
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es_docs: { min: 1, max: 2, total: 19, avg: 0.7037037037037037 },
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es_agg_grids: { min: 1, max: 1, total: 6, avg: 0.2222222222222222 },
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es_point_to_point: { min: 1, max: 1, total: 1, avg: 0.037037037037037035 },
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es_top_hits: { min: 1, max: 1, total: 2, avg: 0.07407407407407407 },
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es_agg_heatmap: { min: 1, max: 1, total: 1, avg: 0.037037037037037035 },
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kbn_tms_raster: { min: 1, max: 1, total: 1, avg: 0.037037037037037035 },
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ems_basemap: { min: 1, max: 1, total: 1, avg: 0.037037037037037035 },
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ems_region: { min: 1, max: 1, total: 1, avg: 0.037037037037037035 },
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},
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resolutions: {
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coarse: { min: 1, max: 1, total: 4, avg: 0.14814814814814814 },
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super_fine: { min: 1, max: 1, total: 3, avg: 0.1111111111111111 },
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},
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scalingOptions: {
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limit: { min: 1, max: 2, total: 14, avg: 0.5185185185185185 },
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clusters: { min: 1, max: 1, total: 1, avg: 0.037037037037037035 },
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mvt: { min: 1, max: 1, total: 4, avg: 0.14814814814814814 },
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},
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attributesPerMap: {
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customIconsCount: {
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avg: 0,
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max: 0,
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min: 0,
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},
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dataSourcesCount: {
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avg: 1.1481481481481481,
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max: 5,
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min: 1,
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},
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emsVectorLayersCount: {
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idThatDoesNotExitForEMSFileSource: {
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avg: 0.037037037037037035,
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max: 1,
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min: 1,
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},
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},
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layerTypesCount: {
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BLENDED_VECTOR: {
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avg: 0.037037037037037035,
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max: 1,
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min: 1,
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},
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EMS_VECTOR_TILE: {
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avg: 0.037037037037037035,
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max: 1,
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min: 1,
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},
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GEOJSON_VECTOR: {
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avg: 0.7777777777777778,
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max: 4,
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min: 1,
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},
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HEATMAP: {
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avg: 0.037037037037037035,
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max: 1,
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min: 1,
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},
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MVT_VECTOR: {
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avg: 0.25925925925925924,
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max: 1,
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min: 1,
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},
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RASTER_TILE: {
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avg: 0.037037037037037035,
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max: 1,
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min: 1,
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},
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},
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layersCount: {
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avg: 1.1851851851851851,
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max: 6,
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min: 1,
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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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