[ML] Replace all use of date_histogram interval with fixed_interval

x-pack/plugins/ml/common/types/__mocks__/job_config_farequote.json

@@ -69,9 +69,7 @@
     "datafeed_id": "datafeed-farequote",
     "job_id": "farequote",
     "query_delay": "115823ms",
-    "indices": [
-      "farequote"
-    ],
+    "indices": ["farequote"],
     "query": {
       "bool": {
         "must": [
@@ -103,7 +101,7 @@
       "buckets": {
         "date_histogram": {
           "field": "@timestamp",
-          "interval": 900000,
+          "fixed_interval": "15m",
           "offset": 0,
           "order": {
             "_key": "asc"

x-pack/plugins/ml/public/application/datavisualizer/index_based/data_loader/data_loader.ts

@@ -80,7 +80,7 @@ export class DataLoader {
     earliest: number | undefined,
     latest: number | undefined,
     fields: FieldRequestConfig[],
-    interval?: string
+    interval?: number
   ): Promise<any[]> {
     const stats = await ml.getVisualizerFieldStats({
       indexPatternTitle: this._indexPatternTitle,

x-pack/plugins/ml/public/application/datavisualizer/index_based/page.tsx

@@ -348,7 +348,7 @@ export const Page: FC = () => {
         earliest,
         latest,
         existMetricFields,
-        aggInterval.expression
+        aggInterval.asMilliseconds()
       );
 
       // Add the metric stats to the existing stats in the corresponding config.

x-pack/plugins/ml/public/application/explorer/explorer_charts/explorer_charts_container_service.js

@@ -111,7 +111,7 @@ export const anomalyDataChange = function (
 
   // Query 1 - load the raw metric data.
   function getMetricData(config, range) {
-    const { jobId, detectorIndex, entityFields, interval } = config;
+    const { jobId, detectorIndex, entityFields, bucketSpanSeconds } = config;
 
     const job = mlJobService.getJob(jobId);
 
@@ -122,14 +122,14 @@ export const anomalyDataChange = function (
       return mlResultsService
         .getMetricData(
           config.datafeedConfig.indices,
-          config.entityFields,
+          entityFields,
           datafeedQuery,
           config.metricFunction,
           config.metricFieldName,
           config.timeField,
           range.min,
           range.max,
-          config.interval
+          bucketSpanSeconds * 1000
         )
         .toPromise();
     } else {
@@ -175,7 +175,14 @@ export const anomalyDataChange = function (
         };
 
         return mlResultsService
-          .getModelPlotOutput(jobId, detectorIndex, criteriaFields, range.min, range.max, interval)
+          .getModelPlotOutput(
+            jobId,
+            detectorIndex,
+            criteriaFields,
+            range.min,
+            range.max,
+            bucketSpanSeconds * 1000
+          )
           .toPromise()
           .then((resp) => {
             // Return data in format required by the explorer charts.
@@ -218,7 +225,7 @@ export const anomalyDataChange = function (
         [config.jobId],
         range.min,
         range.max,
-        config.interval,
+        config.bucketSpanSeconds * 1000,
         1,
         MAX_SCHEDULED_EVENTS
       )
@@ -252,7 +259,7 @@ export const anomalyDataChange = function (
       config.timeField,
       range.min,
       range.max,
-      config.interval
+      config.bucketSpanSeconds * 1000
     );
   }
 

x-pack/plugins/ml/public/application/jobs/new_job/common/results_loader/results_loader.ts

@@ -161,7 +161,7 @@ export class ResultsLoader {
         [],
         this._lastModelTimeStamp,
         this._jobCreator.end,
-        `${this._chartInterval.getInterval().asMilliseconds()}ms`,
+        this._chartInterval.getInterval().asMilliseconds(),
         agg.mlModelPlotAgg
       )
       .toPromise();
@@ -211,7 +211,7 @@ export class ResultsLoader {
       [this._jobCreator.jobId],
       this._jobCreator.start,
       this._jobCreator.end,
-      `${this._chartInterval.getInterval().asMilliseconds()}ms`,
+      this._chartInterval.getInterval().asMilliseconds(),
       1
     );
 
@@ -233,7 +233,7 @@ export class ResultsLoader {
       this._jobCreator.jobId,
       this._jobCreator.start,
       this._jobCreator.end,
-      `${this._chartInterval.getInterval().asMilliseconds()}ms`,
+      this._chartInterval.getInterval().asMilliseconds(),
       this._detectorSplitFieldFilters
     );
 

x-pack/plugins/ml/public/application/jobs/new_job/common/results_loader/searches.ts

@@ -32,7 +32,7 @@ export function getScoresByRecord(
   jobId: string,
   earliestMs: number,
   latestMs: number,
-  interval: string,
+  intervalMs: number,
   firstSplitField: SplitFieldWithValue | null
 ): Promise<ProcessedResults> {
   return new Promise((resolve, reject) => {
@@ -104,7 +104,7 @@ export function getScoresByRecord(
                 byTime: {
                   date_histogram: {
                     field: 'timestamp',
-                    interval,
+                    fixed_interval: `${intervalMs}ms`,
                     min_doc_count: 1,
                     extended_bounds: {
                       min: earliestMs,

x-pack/plugins/ml/public/application/services/anomaly_timeline_service.ts

@@ -180,7 +180,7 @@ export class AnomalyTimelineService {
     // Pass the interval in seconds as the swim lane relies on a fixed number of seconds between buckets
     // which wouldn't be the case if e.g. '1M' was used.
 
-    const interval = `${swimlaneBucketInterval.asSeconds()}s`;
+    const intervalMs = swimlaneBucketInterval.asMilliseconds();
 
     let response;
     if (viewBySwimlaneFieldName === VIEW_BY_JOB_LABEL) {
@@ -190,7 +190,7 @@ export class AnomalyTimelineService {
         jobIds,
         searchBounds.min.valueOf(),
         searchBounds.max.valueOf(),
-        interval,
+        intervalMs,
         perPage,
         fromPage
       );
@@ -201,7 +201,7 @@ export class AnomalyTimelineService {
         fieldValues,
         searchBounds.min.valueOf(),
         searchBounds.max.valueOf(),
-        interval,
+        intervalMs,
         swimlaneLimit,
         perPage,
         fromPage,
@@ -269,7 +269,7 @@ export class AnomalyTimelineService {
         selectedJobIds,
         earliestMs,
         latestMs,
-        this.getSwimlaneBucketInterval(selectedJobs, swimlaneContainerWidth).asSeconds() + 's',
+        this.getSwimlaneBucketInterval(selectedJobs, swimlaneContainerWidth).asMilliseconds(),
         swimlaneLimit
       );
       return Object.keys(resp.results);

x-pack/plugins/ml/public/application/services/forecast_service.d.ts

@@ -25,7 +25,7 @@ export const mlForecastService: {
     entityFields: any[],
     earliestMs: number,
     latestMs: number,
-    interval: string,
+    intervalMs: number,
     aggType: any
   ) => Observable<ForecastData>;
 

x-pack/plugins/ml/public/application/services/forecast_service.js

@@ -153,7 +153,7 @@ function getForecastData(
   entityFields,
   earliestMs,
   latestMs,
-  interval,
+  intervalMs,
   aggType
 ) {
   // Extract the partition, by, over fields on which to filter.
@@ -257,7 +257,7 @@ function getForecastData(
           times: {
             date_histogram: {
               field: 'timestamp',
-              interval: interval,
+              fixed_interval: `${intervalMs}ms`,
               min_doc_count: 1,
             },
             aggs: {

x-pack/plugins/ml/public/application/services/ml_api_service/index.ts

@@ -485,7 +485,7 @@ export function mlApiServicesProvider(httpService: HttpService) {
       earliest?: number;
       latest?: number;
       samplerShardSize?: number;
-      interval?: string;
+      interval?: number;
       fields?: FieldRequestConfig[];
       maxExamples?: number;
     }) {

x-pack/plugins/ml/public/application/services/results_service/result_service_rx.ts

@@ -70,7 +70,7 @@ export function resultsServiceRxProvider(mlApiServices: MlApiServices) {
       timeFieldName: string,
       earliestMs: number,
       latestMs: number,
-      interval: string
+      intervalMs: number
     ): Observable<MetricData> {
       // Build the criteria to use in the bool filter part of the request.
       // Add criteria for the time range, entity fields,
@@ -136,7 +136,7 @@ export function resultsServiceRxProvider(mlApiServices: MlApiServices) {
           byTime: {
             date_histogram: {
               field: timeFieldName,
-              interval,
+              fixed_interval: `${intervalMs}ms`,
               min_doc_count: 0,
             },
           },
@@ -202,7 +202,7 @@ export function resultsServiceRxProvider(mlApiServices: MlApiServices) {
       criteriaFields: any[],
       earliestMs: number,
       latestMs: number,
-      interval: string,
+      intervalMs: number,
       aggType?: { min: any; max: any }
     ): Observable<ModelPlotOutput> {
       const obj: ModelPlotOutput = {
@@ -291,7 +291,7 @@ export function resultsServiceRxProvider(mlApiServices: MlApiServices) {
               times: {
                 date_histogram: {
                   field: 'timestamp',
-                  interval,
+                  fixed_interval: `${intervalMs}ms`,
                   min_doc_count: 0,
                 },
                 aggs: {
@@ -446,7 +446,7 @@ export function resultsServiceRxProvider(mlApiServices: MlApiServices) {
       jobIds: string[] | undefined,
       earliestMs: number,
       latestMs: number,
-      interval: string,
+      intervalMs: number,
       maxJobs: number,
       maxEvents: number
     ): Observable<ScheduledEventsByBucket> {
@@ -518,7 +518,7 @@ export function resultsServiceRxProvider(mlApiServices: MlApiServices) {
                   times: {
                     date_histogram: {
                       field: 'timestamp',
-                      interval,
+                      fixed_interval: `${intervalMs}ms`,
                       min_doc_count: 1,
                     },
                     aggs: {

x-pack/plugins/ml/public/application/services/results_service/results_service.d.ts

@@ -13,7 +13,7 @@ export function resultsServiceProvider(
     jobIds: string[],
     earliestMs: number,
     latestMs: number,
-    interval: string | number,
+    intervalMs: number,
     perPage?: number,
     fromPage?: number
   ): Promise<any>;
@@ -41,7 +41,7 @@ export function resultsServiceProvider(
     influencerFieldValues: string[],
     earliestMs: number,
     latestMs: number,
-    interval: string,
+    intervalMs: number,
     maxResults: number,
     perPage: number,
     fromPage: number,
@@ -57,8 +57,25 @@ export function resultsServiceProvider(
     timeFieldName: string,
     earliestMs: number,
     latestMs: number,
-    interval: string | number
+    intervalMs: number
+  ): Promise<any>;
+  getEventDistributionData(
+    index: string,
+    splitField: string,
+    filterField: string,
+    query: any,
+    metricFunction: string, // ES aggregation name
+    metricFieldName: string,
+    timeFieldName: string,
+    earliestMs: number,
+    latestMs: number,
+    intervalMs: number
+  ): Promise<any>;
+  getRecordMaxScoreByTime(
+    jobId: string,
+    criteriaFields: any[],
+    earliestMs: number,
+    latestMs: number,
+    intervalMs: number
   ): Promise<any>;
-  getEventDistributionData(): Promise<any>;
-  getRecordMaxScoreByTime(): Promise<any>;
 };