query_builder.test.ts 8.9 KB

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  1. import { ElasticQueryBuilder } from '../query_builder';
  2. describe('ElasticQueryBuilder', () => {
  3. let builder;
  4. beforeEach(() => {
  5. builder = new ElasticQueryBuilder({ timeField: '@timestamp' });
  6. });
  7. it('with defaults', () => {
  8. const query = builder.build({
  9. metrics: [{ type: 'Count', id: '0' }],
  10. timeField: '@timestamp',
  11. bucketAggs: [{ type: 'date_histogram', field: '@timestamp', id: '1' }],
  12. });
  13. expect(query.query.bool.filter[0].range['@timestamp'].gte).toBe('$timeFrom');
  14. expect(query.aggs['1'].date_histogram.extended_bounds.min).toBe('$timeFrom');
  15. });
  16. it('with defaults on es5.x', () => {
  17. const builder5x = new ElasticQueryBuilder({
  18. timeField: '@timestamp',
  19. esVersion: 5,
  20. });
  21. const query = builder5x.build({
  22. metrics: [{ type: 'Count', id: '0' }],
  23. timeField: '@timestamp',
  24. bucketAggs: [{ type: 'date_histogram', field: '@timestamp', id: '1' }],
  25. });
  26. expect(query.query.bool.filter[0].range['@timestamp'].gte).toBe('$timeFrom');
  27. expect(query.aggs['1'].date_histogram.extended_bounds.min).toBe('$timeFrom');
  28. });
  29. it('with multiple bucket aggs', () => {
  30. const query = builder.build({
  31. metrics: [{ type: 'count', id: '1' }],
  32. timeField: '@timestamp',
  33. bucketAggs: [
  34. { type: 'terms', field: '@host', id: '2' },
  35. { type: 'date_histogram', field: '@timestamp', id: '3' },
  36. ],
  37. });
  38. expect(query.aggs['2'].terms.field).toBe('@host');
  39. expect(query.aggs['2'].aggs['3'].date_histogram.field).toBe('@timestamp');
  40. });
  41. it('with select field', () => {
  42. const query = builder.build(
  43. {
  44. metrics: [{ type: 'avg', field: '@value', id: '1' }],
  45. bucketAggs: [{ type: 'date_histogram', field: '@timestamp', id: '2' }],
  46. },
  47. 100,
  48. 1000
  49. );
  50. const aggs = query.aggs['2'].aggs;
  51. expect(aggs['1'].avg.field).toBe('@value');
  52. });
  53. it('with term agg and order by metric agg', () => {
  54. const query = builder.build(
  55. {
  56. metrics: [{ type: 'count', id: '1' }, { type: 'avg', field: '@value', id: '5' }],
  57. bucketAggs: [
  58. {
  59. type: 'terms',
  60. field: '@host',
  61. settings: { size: 5, order: 'asc', orderBy: '5' },
  62. id: '2',
  63. },
  64. { type: 'date_histogram', field: '@timestamp', id: '3' },
  65. ],
  66. },
  67. 100,
  68. 1000
  69. );
  70. const firstLevel = query.aggs['2'];
  71. const secondLevel = firstLevel.aggs['3'];
  72. expect(firstLevel.aggs['5'].avg.field).toBe('@value');
  73. expect(secondLevel.aggs['5'].avg.field).toBe('@value');
  74. });
  75. it('with metric percentiles', () => {
  76. const query = builder.build(
  77. {
  78. metrics: [
  79. {
  80. id: '1',
  81. type: 'percentiles',
  82. field: '@load_time',
  83. settings: {
  84. percents: [1, 2, 3, 4],
  85. },
  86. },
  87. ],
  88. bucketAggs: [{ type: 'date_histogram', field: '@timestamp', id: '3' }],
  89. },
  90. 100,
  91. 1000
  92. );
  93. const firstLevel = query.aggs['3'];
  94. expect(firstLevel.aggs['1'].percentiles.field).toBe('@load_time');
  95. expect(firstLevel.aggs['1'].percentiles.percents).toEqual([1, 2, 3, 4]);
  96. });
  97. it('with filters aggs', () => {
  98. const query = builder.build({
  99. metrics: [{ type: 'count', id: '1' }],
  100. timeField: '@timestamp',
  101. bucketAggs: [
  102. {
  103. id: '2',
  104. type: 'filters',
  105. settings: {
  106. filters: [{ query: '@metric:cpu' }, { query: '@metric:logins.count' }],
  107. },
  108. },
  109. { type: 'date_histogram', field: '@timestamp', id: '4' },
  110. ],
  111. });
  112. expect(query.aggs['2'].filters.filters['@metric:cpu'].query_string.query).toBe('@metric:cpu');
  113. expect(query.aggs['2'].filters.filters['@metric:logins.count'].query_string.query).toBe('@metric:logins.count');
  114. expect(query.aggs['2'].aggs['4'].date_histogram.field).toBe('@timestamp');
  115. });
  116. it('with filters aggs on es5.x', () => {
  117. const builder5x = new ElasticQueryBuilder({
  118. timeField: '@timestamp',
  119. esVersion: 5,
  120. });
  121. const query = builder5x.build({
  122. metrics: [{ type: 'count', id: '1' }],
  123. timeField: '@timestamp',
  124. bucketAggs: [
  125. {
  126. id: '2',
  127. type: 'filters',
  128. settings: {
  129. filters: [{ query: '@metric:cpu' }, { query: '@metric:logins.count' }],
  130. },
  131. },
  132. { type: 'date_histogram', field: '@timestamp', id: '4' },
  133. ],
  134. });
  135. expect(query.aggs['2'].filters.filters['@metric:cpu'].query_string.query).toBe('@metric:cpu');
  136. expect(query.aggs['2'].filters.filters['@metric:logins.count'].query_string.query).toBe('@metric:logins.count');
  137. expect(query.aggs['2'].aggs['4'].date_histogram.field).toBe('@timestamp');
  138. });
  139. it('with raw_document metric', () => {
  140. const query = builder.build({
  141. metrics: [{ type: 'raw_document', id: '1', settings: {} }],
  142. timeField: '@timestamp',
  143. bucketAggs: [],
  144. });
  145. expect(query.size).toBe(500);
  146. });
  147. it('with raw_document metric size set', () => {
  148. const query = builder.build({
  149. metrics: [{ type: 'raw_document', id: '1', settings: { size: 1337 } }],
  150. timeField: '@timestamp',
  151. bucketAggs: [],
  152. });
  153. expect(query.size).toBe(1337);
  154. });
  155. it('with moving average', () => {
  156. const query = builder.build({
  157. metrics: [
  158. {
  159. id: '3',
  160. type: 'sum',
  161. field: '@value',
  162. },
  163. {
  164. id: '2',
  165. type: 'moving_avg',
  166. field: '3',
  167. pipelineAgg: '3',
  168. },
  169. ],
  170. bucketAggs: [{ type: 'date_histogram', field: '@timestamp', id: '3' }],
  171. });
  172. const firstLevel = query.aggs['3'];
  173. expect(firstLevel.aggs['2']).not.toBe(undefined);
  174. expect(firstLevel.aggs['2'].moving_avg).not.toBe(undefined);
  175. expect(firstLevel.aggs['2'].moving_avg.buckets_path).toBe('3');
  176. });
  177. it('with broken moving average', () => {
  178. const query = builder.build({
  179. metrics: [
  180. {
  181. id: '3',
  182. type: 'sum',
  183. field: '@value',
  184. },
  185. {
  186. id: '2',
  187. type: 'moving_avg',
  188. pipelineAgg: '3',
  189. },
  190. {
  191. id: '4',
  192. type: 'moving_avg',
  193. pipelineAgg: 'Metric to apply moving average',
  194. },
  195. ],
  196. bucketAggs: [{ type: 'date_histogram', field: '@timestamp', id: '3' }],
  197. });
  198. const firstLevel = query.aggs['3'];
  199. expect(firstLevel.aggs['2']).not.toBe(undefined);
  200. expect(firstLevel.aggs['2'].moving_avg).not.toBe(undefined);
  201. expect(firstLevel.aggs['2'].moving_avg.buckets_path).toBe('3');
  202. expect(firstLevel.aggs['4']).toBe(undefined);
  203. });
  204. it('with derivative', () => {
  205. const query = builder.build({
  206. metrics: [
  207. {
  208. id: '3',
  209. type: 'sum',
  210. field: '@value',
  211. },
  212. {
  213. id: '2',
  214. type: 'derivative',
  215. pipelineAgg: '3',
  216. },
  217. ],
  218. bucketAggs: [{ type: 'date_histogram', field: '@timestamp', id: '3' }],
  219. });
  220. const firstLevel = query.aggs['3'];
  221. expect(firstLevel.aggs['2']).not.toBe(undefined);
  222. expect(firstLevel.aggs['2'].derivative).not.toBe(undefined);
  223. expect(firstLevel.aggs['2'].derivative.buckets_path).toBe('3');
  224. });
  225. it('with histogram', () => {
  226. const query = builder.build({
  227. metrics: [{ id: '1', type: 'count' }],
  228. bucketAggs: [
  229. {
  230. type: 'histogram',
  231. field: 'bytes',
  232. id: '3',
  233. settings: { interval: 10, min_doc_count: 2, missing: 5 },
  234. },
  235. ],
  236. });
  237. const firstLevel = query.aggs['3'];
  238. expect(firstLevel.histogram.field).toBe('bytes');
  239. expect(firstLevel.histogram.interval).toBe(10);
  240. expect(firstLevel.histogram.min_doc_count).toBe(2);
  241. expect(firstLevel.histogram.missing).toBe(5);
  242. });
  243. it('with adhoc filters', () => {
  244. const query = builder.build(
  245. {
  246. metrics: [{ type: 'Count', id: '0' }],
  247. timeField: '@timestamp',
  248. bucketAggs: [{ type: 'date_histogram', field: '@timestamp', id: '3' }],
  249. },
  250. [
  251. { key: 'key1', operator: '=', value: 'value1' },
  252. { key: 'key2', operator: '=', value: 'value2' },
  253. { key: 'key2', operator: '!=', value: 'value2' },
  254. { key: 'key3', operator: '<', value: 'value3' },
  255. { key: 'key4', operator: '>', value: 'value4' },
  256. { key: 'key5', operator: '=~', value: 'value5' },
  257. { key: 'key6', operator: '!~', value: 'value6' },
  258. ]
  259. );
  260. expect(query.query.bool.must[0].match_phrase['key1'].query).toBe('value1');
  261. expect(query.query.bool.must[1].match_phrase['key2'].query).toBe('value2');
  262. expect(query.query.bool.must_not[0].match_phrase['key2'].query).toBe('value2');
  263. expect(query.query.bool.filter[2].range['key3'].lt).toBe('value3');
  264. expect(query.query.bool.filter[3].range['key4'].gt).toBe('value4');
  265. expect(query.query.bool.filter[4].regexp['key5']).toBe('value5');
  266. expect(query.query.bool.filter[5].bool.must_not.regexp['key6']).toBe('value6');
  267. });
  268. });