Aggregations: min_bucket aggregation
An aggregation to calculate the minimum value in a set of buckets. Closes #9999
This commit is contained in:
Colin Goodheart-Smithe
parent
77ac4528fb
commit
d16bf992a9
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@ -2,4 +2,5 @@
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include::reducer/derivative-aggregation.asciidoc[]
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include::reducer/max-bucket-aggregation.asciidoc[]
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include::reducer/min-bucket-aggregation.asciidoc[]
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include::reducer/movavg-aggregation.asciidoc[]
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@ -0,0 +1,82 @@
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[[search-aggregations-reducer-min-bucket-aggregation]]
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=== Max Bucket Aggregation
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A sibling reducer aggregation which identifies the bucket(s) with the minimum value of a specified metric in a sibling aggregation
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and outputs both the value and the key(s) of the bucket(s). The specified metric must be numeric and the sibling aggregation must
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be a multi-bucket aggregation.
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The following snippet calculates the minimum of the total monthly `sales`:
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[source,js]
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--------------------------------------------------
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{
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"aggs" : {
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"sales_per_month" : {
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"date_histogram" : {
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"field" : "date",
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"interval" : "month"
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},
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"aggs": {
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"sales": {
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"sum": {
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"field": "price"
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}
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}
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}
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},
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"min_monthly_sales": {
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"min_bucket": {
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"buckets_paths": "sales_per_month>sales" <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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<1> `bucket_paths` instructs this max_bucket aggregation that we want the minimum value of the `sales` aggregation in the
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`sales_per_month` date histogram.
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And the following may be the response:
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[source,js]
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--------------------------------------------------
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{
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"aggregations": {
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"sales_per_month": {
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"buckets": [
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{
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"key_as_string": "2015/01/01 00:00:00",
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"key": 1420070400000,
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"doc_count": 3,
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"sales": {
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"value": 550
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}
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},
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{
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"key_as_string": "2015/02/01 00:00:00",
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"key": 1422748800000,
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"doc_count": 2,
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"sales": {
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"value": 60
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}
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},
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{
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"key_as_string": "2015/03/01 00:00:00",
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"key": 1425168000000,
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"doc_count": 2,
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"sales": {
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"value": 375
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}
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}
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]
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},
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"min_monthly_sales": {
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"keys": ["2015/02/01 00:00:00"], <1>
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"value": 60
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}
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}
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}
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--------------------------------------------------
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<1> `keys` is an array of strings since the minimum value may be present in multiple buckets
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@ -57,7 +57,8 @@ import org.elasticsearch.search.aggregations.metrics.sum.SumParser;
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import org.elasticsearch.search.aggregations.metrics.tophits.TopHitsParser;
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import org.elasticsearch.search.aggregations.metrics.valuecount.ValueCountParser;
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import org.elasticsearch.search.aggregations.reducers.Reducer;
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import org.elasticsearch.search.aggregations.reducers.bucketmetrics.MaxBucketParser;
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import org.elasticsearch.search.aggregations.reducers.bucketmetrics.max.MaxBucketParser;
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import org.elasticsearch.search.aggregations.reducers.bucketmetrics.min.MinBucketParser;
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import org.elasticsearch.search.aggregations.reducers.derivative.DerivativeParser;
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import org.elasticsearch.search.aggregations.reducers.movavg.MovAvgParser;
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import org.elasticsearch.search.aggregations.reducers.movavg.models.MovAvgModelModule;
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@ -107,6 +108,7 @@ public class AggregationModule extends AbstractModule implements SpawnModules{
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reducerParsers.add(DerivativeParser.class);
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reducerParsers.add(MaxBucketParser.class);
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reducerParsers.add(MinBucketParser.class);
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reducerParsers.add(MovAvgParser.class);
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}
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@ -61,7 +61,8 @@ import org.elasticsearch.search.aggregations.metrics.tophits.InternalTopHits;
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import org.elasticsearch.search.aggregations.metrics.valuecount.InternalValueCount;
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import org.elasticsearch.search.aggregations.reducers.InternalSimpleValue;
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import org.elasticsearch.search.aggregations.reducers.bucketmetrics.InternalBucketMetricValue;
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import org.elasticsearch.search.aggregations.reducers.bucketmetrics.MaxBucketReducer;
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import org.elasticsearch.search.aggregations.reducers.bucketmetrics.max.MaxBucketReducer;
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import org.elasticsearch.search.aggregations.reducers.bucketmetrics.min.MinBucketReducer;
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import org.elasticsearch.search.aggregations.reducers.derivative.DerivativeReducer;
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import org.elasticsearch.search.aggregations.reducers.movavg.MovAvgReducer;
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import org.elasticsearch.search.aggregations.reducers.movavg.models.TransportMovAvgModelModule;
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@ -118,6 +119,7 @@ public class TransportAggregationModule extends AbstractModule implements SpawnM
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InternalSimpleValue.registerStreams();
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InternalBucketMetricValue.registerStreams();
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MaxBucketReducer.registerStreams();
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MinBucketReducer.registerStreams();
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MovAvgReducer.registerStreams();
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}
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@ -19,7 +19,8 @@
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package org.elasticsearch.search.aggregations.reducers;
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import org.elasticsearch.search.aggregations.reducers.bucketmetrics.MaxBucketBuilder;
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import org.elasticsearch.search.aggregations.reducers.bucketmetrics.max.MaxBucketBuilder;
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import org.elasticsearch.search.aggregations.reducers.bucketmetrics.min.MinBucketBuilder;
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import org.elasticsearch.search.aggregations.reducers.derivative.DerivativeBuilder;
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import org.elasticsearch.search.aggregations.reducers.movavg.MovAvgBuilder;
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@ -36,6 +37,10 @@ public final class ReducerBuilders {
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return new MaxBucketBuilder(name);
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}
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public static final MinBucketBuilder minBucket(String name) {
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return new MinBucketBuilder(name);
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}
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public static final MovAvgBuilder movingAvg(String name) {
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return new MovAvgBuilder(name);
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}
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@ -17,7 +17,7 @@
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* under the License.
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*/
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package org.elasticsearch.search.aggregations.reducers.bucketmetrics;
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package org.elasticsearch.search.aggregations.reducers.bucketmetrics.max;
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import org.elasticsearch.common.xcontent.XContentBuilder;
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import org.elasticsearch.search.aggregations.reducers.BucketHelpers.GapPolicy;
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@ -17,7 +17,7 @@
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* under the License.
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*/
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package org.elasticsearch.search.aggregations.reducers.bucketmetrics;
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package org.elasticsearch.search.aggregations.reducers.bucketmetrics.max;
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import org.elasticsearch.common.ParseField;
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import org.elasticsearch.common.xcontent.XContentParser;
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@ -17,7 +17,7 @@
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* under the License.
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*/
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package org.elasticsearch.search.aggregations.reducers.bucketmetrics;
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package org.elasticsearch.search.aggregations.reducers.bucketmetrics.max;
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import org.elasticsearch.common.Nullable;
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import org.elasticsearch.common.io.stream.StreamInput;
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@ -32,6 +32,7 @@ import org.elasticsearch.search.aggregations.InternalMultiBucketAggregation;
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import org.elasticsearch.search.aggregations.bucket.MultiBucketsAggregation.Bucket;
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import org.elasticsearch.search.aggregations.reducers.BucketHelpers;
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import org.elasticsearch.search.aggregations.reducers.BucketHelpers.GapPolicy;
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import org.elasticsearch.search.aggregations.reducers.bucketmetrics.InternalBucketMetricValue;
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import org.elasticsearch.search.aggregations.reducers.Reducer;
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import org.elasticsearch.search.aggregations.reducers.ReducerFactory;
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import org.elasticsearch.search.aggregations.reducers.ReducerStreams;
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@ -0,0 +1,59 @@
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/*
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* Licensed to Elasticsearch under one or more contributor
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* license agreements. See the NOTICE file distributed with
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* this work for additional information regarding copyright
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* ownership. Elasticsearch licenses this file to you under
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* the Apache License, Version 2.0 (the "License"); you may
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* not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing,
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* software distributed under the License is distributed on an
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* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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* KIND, either express or implied. See the License for the
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* specific language governing permissions and limitations
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* under the License.
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*/
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package org.elasticsearch.search.aggregations.reducers.bucketmetrics.min;
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import org.elasticsearch.common.xcontent.XContentBuilder;
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import org.elasticsearch.search.aggregations.reducers.BucketHelpers.GapPolicy;
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import org.elasticsearch.search.aggregations.reducers.ReducerBuilder;
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import org.elasticsearch.search.aggregations.reducers.derivative.DerivativeParser;
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import java.io.IOException;
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public class MinBucketBuilder extends ReducerBuilder<MinBucketBuilder> {
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private String format;
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private GapPolicy gapPolicy;
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public MinBucketBuilder(String name) {
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super(name, MinBucketReducer.TYPE.name());
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}
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public MinBucketBuilder format(String format) {
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this.format = format;
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return this;
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}
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public MinBucketBuilder gapPolicy(GapPolicy gapPolicy) {
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this.gapPolicy = gapPolicy;
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return this;
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}
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@Override
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protected XContentBuilder internalXContent(XContentBuilder builder, Params params) throws IOException {
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if (format != null) {
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builder.field(MinBucketParser.FORMAT.getPreferredName(), format);
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}
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if (gapPolicy != null) {
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builder.field(DerivativeParser.GAP_POLICY.getPreferredName(), gapPolicy.getName());
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}
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return builder;
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}
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}
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@ -0,0 +1,97 @@
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/*
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* Licensed to Elasticsearch under one or more contributor
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* license agreements. See the NOTICE file distributed with
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* this work for additional information regarding copyright
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* ownership. Elasticsearch licenses this file to you under
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* the Apache License, Version 2.0 (the "License"); you may
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* not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing,
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* software distributed under the License is distributed on an
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* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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* KIND, either express or implied. See the License for the
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* specific language governing permissions and limitations
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* under the License.
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*/
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package org.elasticsearch.search.aggregations.reducers.bucketmetrics.min;
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import org.elasticsearch.common.ParseField;
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import org.elasticsearch.common.xcontent.XContentParser;
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import org.elasticsearch.search.SearchParseException;
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import org.elasticsearch.search.aggregations.reducers.BucketHelpers.GapPolicy;
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import org.elasticsearch.search.aggregations.reducers.Reducer;
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import org.elasticsearch.search.aggregations.reducers.ReducerFactory;
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import org.elasticsearch.search.aggregations.support.format.ValueFormat;
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import org.elasticsearch.search.aggregations.support.format.ValueFormatter;
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import org.elasticsearch.search.internal.SearchContext;
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import java.io.IOException;
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import java.util.ArrayList;
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import java.util.List;
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public class MinBucketParser implements Reducer.Parser {
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public static final ParseField FORMAT = new ParseField("format");
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@Override
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public String type() {
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return MinBucketReducer.TYPE.name();
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}
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@Override
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public ReducerFactory parse(String reducerName, XContentParser parser, SearchContext context) throws IOException {
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XContentParser.Token token;
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String currentFieldName = null;
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String[] bucketsPaths = null;
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String format = null;
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GapPolicy gapPolicy = GapPolicy.SKIP;
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while ((token = parser.nextToken()) != XContentParser.Token.END_OBJECT) {
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if (token == XContentParser.Token.FIELD_NAME) {
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currentFieldName = parser.currentName();
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} else if (token == XContentParser.Token.VALUE_STRING) {
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if (FORMAT.match(currentFieldName)) {
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format = parser.text();
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} else if (BUCKETS_PATH.match(currentFieldName)) {
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bucketsPaths = new String[] { parser.text() };
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} else if (GAP_POLICY.match(currentFieldName)) {
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gapPolicy = GapPolicy.parse(context, parser.text(), parser.getTokenLocation());
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} else {
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throw new SearchParseException(context, "Unknown key for a " + token + " in [" + reducerName + "]: ["
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+ currentFieldName + "].", parser.getTokenLocation());
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}
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} else if (token == XContentParser.Token.START_ARRAY) {
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if (BUCKETS_PATH.match(currentFieldName)) {
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List<String> paths = new ArrayList<>();
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while ((token = parser.nextToken()) != XContentParser.Token.END_ARRAY) {
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String path = parser.text();
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paths.add(path);
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}
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bucketsPaths = paths.toArray(new String[paths.size()]);
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} else {
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throw new SearchParseException(context, "Unknown key for a " + token + " in [" + reducerName + "]: ["
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+ currentFieldName + "].", parser.getTokenLocation());
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}
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} else {
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throw new SearchParseException(context, "Unexpected token " + token + " in [" + reducerName + "].",
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parser.getTokenLocation());
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}
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}
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if (bucketsPaths == null) {
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throw new SearchParseException(context, "Missing required field [" + BUCKETS_PATH.getPreferredName()
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+ "] for derivative aggregation [" + reducerName + "]", parser.getTokenLocation());
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}
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ValueFormatter formatter = null;
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if (format != null) {
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formatter = ValueFormat.Patternable.Number.format(format).formatter();
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}
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return new MinBucketReducer.Factory(reducerName, bucketsPaths, gapPolicy, formatter);
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}
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}
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@ -0,0 +1,151 @@
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/*
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* Licensed to Elasticsearch under one or more contributor
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* license agreements. See the NOTICE file distributed with
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* this work for additional information regarding copyright
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* ownership. Elasticsearch licenses this file to you under
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* the Apache License, Version 2.0 (the "License"); you may
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* not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing,
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* software distributed under the License is distributed on an
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* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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* KIND, either express or implied. See the License for the
|
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* specific language governing permissions and limitations
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* under the License.
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*/
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package org.elasticsearch.search.aggregations.reducers.bucketmetrics.min;
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import org.elasticsearch.common.Nullable;
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import org.elasticsearch.common.io.stream.StreamInput;
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import org.elasticsearch.common.io.stream.StreamOutput;
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import org.elasticsearch.search.aggregations.Aggregation;
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import org.elasticsearch.search.aggregations.Aggregations;
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import org.elasticsearch.search.aggregations.AggregatorFactory;
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import org.elasticsearch.search.aggregations.InternalAggregation;
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import org.elasticsearch.search.aggregations.InternalAggregation.ReduceContext;
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import org.elasticsearch.search.aggregations.InternalAggregation.Type;
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import org.elasticsearch.search.aggregations.InternalMultiBucketAggregation;
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import org.elasticsearch.search.aggregations.bucket.MultiBucketsAggregation.Bucket;
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import org.elasticsearch.search.aggregations.reducers.BucketHelpers;
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import org.elasticsearch.search.aggregations.reducers.BucketHelpers.GapPolicy;
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import org.elasticsearch.search.aggregations.reducers.Reducer;
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import org.elasticsearch.search.aggregations.reducers.ReducerFactory;
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import org.elasticsearch.search.aggregations.reducers.ReducerStreams;
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import org.elasticsearch.search.aggregations.reducers.SiblingReducer;
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import org.elasticsearch.search.aggregations.reducers.bucketmetrics.InternalBucketMetricValue;
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import org.elasticsearch.search.aggregations.support.AggregationPath;
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import org.elasticsearch.search.aggregations.support.format.ValueFormatter;
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import org.elasticsearch.search.aggregations.support.format.ValueFormatterStreams;
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import java.io.IOException;
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import java.util.ArrayList;
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import java.util.Collections;
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import java.util.List;
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import java.util.Map;
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public class MinBucketReducer extends SiblingReducer {
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public final static Type TYPE = new Type("min_bucket");
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public final static ReducerStreams.Stream STREAM = new ReducerStreams.Stream() {
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@Override
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public MinBucketReducer readResult(StreamInput in) throws IOException {
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MinBucketReducer result = new MinBucketReducer();
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result.readFrom(in);
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return result;
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}
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};
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private ValueFormatter formatter;
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private GapPolicy gapPolicy;
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public static void registerStreams() {
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ReducerStreams.registerStream(STREAM, TYPE.stream());
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}
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private MinBucketReducer() {
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}
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protected MinBucketReducer(String name, String[] bucketsPaths, GapPolicy gapPolicy, @Nullable ValueFormatter formatter,
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Map<String, Object> metaData) {
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super(name, bucketsPaths, metaData);
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this.gapPolicy = gapPolicy;
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this.formatter = formatter;
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}
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@Override
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public Type type() {
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return TYPE;
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}
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public InternalAggregation doReduce(Aggregations aggregations, ReduceContext context) {
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List<String> minBucketKeys = new ArrayList<>();
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double minValue = Double.POSITIVE_INFINITY;
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List<String> bucketsPath = AggregationPath.parse(bucketsPaths()[0]).getPathElementsAsStringList();
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for (Aggregation aggregation : aggregations) {
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if (aggregation.getName().equals(bucketsPath.get(0))) {
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bucketsPath = bucketsPath.subList(1, bucketsPath.size());
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InternalMultiBucketAggregation multiBucketsAgg = (InternalMultiBucketAggregation) aggregation;
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List<? extends Bucket> buckets = multiBucketsAgg.getBuckets();
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for (int i = 0; i < buckets.size(); i++) {
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Bucket bucket = buckets.get(i);
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Double bucketValue = BucketHelpers.resolveBucketValue(multiBucketsAgg, bucket, bucketsPath, gapPolicy);
|
||||
if (bucketValue != null) {
|
||||
if (bucketValue < minValue) {
|
||||
minBucketKeys.clear();
|
||||
minBucketKeys.add(bucket.getKeyAsString());
|
||||
minValue = bucketValue;
|
||||
} else if (bucketValue.equals(minValue)) {
|
||||
minBucketKeys.add(bucket.getKeyAsString());
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
String[] keys = minBucketKeys.toArray(new String[minBucketKeys.size()]);
|
||||
return new InternalBucketMetricValue(name(), keys, minValue, formatter, Collections.EMPTY_LIST, metaData());
|
||||
}
|
||||
|
||||
@Override
|
||||
public void doReadFrom(StreamInput in) throws IOException {
|
||||
formatter = ValueFormatterStreams.readOptional(in);
|
||||
gapPolicy = GapPolicy.readFrom(in);
|
||||
}
|
||||
|
||||
@Override
|
||||
public void doWriteTo(StreamOutput out) throws IOException {
|
||||
ValueFormatterStreams.writeOptional(formatter, out);
|
||||
gapPolicy.writeTo(out);
|
||||
}
|
||||
|
||||
public static class Factory extends ReducerFactory {
|
||||
|
||||
private final ValueFormatter formatter;
|
||||
private final GapPolicy gapPolicy;
|
||||
|
||||
public Factory(String name, String[] bucketsPaths, GapPolicy gapPolicy, @Nullable ValueFormatter formatter) {
|
||||
super(name, TYPE.name(), bucketsPaths);
|
||||
this.gapPolicy = gapPolicy;
|
||||
this.formatter = formatter;
|
||||
}
|
||||
|
||||
@Override
|
||||
protected Reducer createInternal(Map<String, Object> metaData) throws IOException {
|
||||
return new MinBucketReducer(name, bucketsPaths, gapPolicy, formatter, metaData);
|
||||
}
|
||||
|
||||
@Override
|
||||
public void doValidate(AggregatorFactory parent, AggregatorFactory[] aggFactories, List<ReducerFactory> reducerFactories) {
|
||||
if (bucketsPaths.length != 1) {
|
||||
throw new IllegalStateException(Reducer.Parser.BUCKETS_PATH.getPreferredName()
|
||||
+ " must contain a single entry for reducer [" + name + "]");
|
||||
}
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
}
|
||||
|
|
@ -0,0 +1,433 @@
|
|||
/*
|
||||
* Licensed to Elasticsearch under one or more contributor
|
||||
* license agreements. See the NOTICE file distributed with
|
||||
* this work for additional information regarding copyright
|
||||
* ownership. Elasticsearch licenses this file to you under
|
||||
* the Apache License, Version 2.0 (the "License"); you may
|
||||
* not use this file except in compliance with the License.
|
||||
* You may obtain a copy of the License at
|
||||
*
|
||||
* http://www.apache.org/licenses/LICENSE-2.0
|
||||
*
|
||||
* Unless required by applicable law or agreed to in writing,
|
||||
* software distributed under the License is distributed on an
|
||||
* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
|
||||
* KIND, either express or implied. See the License for the
|
||||
* specific language governing permissions and limitations
|
||||
* under the License.
|
||||
*/
|
||||
|
||||
package org.elasticsearch.search.aggregations.reducers;
|
||||
|
||||
import org.elasticsearch.action.index.IndexRequestBuilder;
|
||||
import org.elasticsearch.action.search.SearchResponse;
|
||||
import org.elasticsearch.search.aggregations.bucket.histogram.Histogram;
|
||||
import org.elasticsearch.search.aggregations.bucket.histogram.Histogram.Bucket;
|
||||
import org.elasticsearch.search.aggregations.bucket.terms.Terms;
|
||||
import org.elasticsearch.search.aggregations.bucket.terms.Terms.Order;
|
||||
import org.elasticsearch.search.aggregations.metrics.sum.Sum;
|
||||
import org.elasticsearch.search.aggregations.reducers.BucketHelpers.GapPolicy;
|
||||
import org.elasticsearch.search.aggregations.reducers.bucketmetrics.InternalBucketMetricValue;
|
||||
import org.elasticsearch.test.ElasticsearchIntegrationTest;
|
||||
import org.junit.Test;
|
||||
|
||||
import java.util.ArrayList;
|
||||
import java.util.List;
|
||||
|
||||
import static org.elasticsearch.common.xcontent.XContentFactory.jsonBuilder;
|
||||
import static org.elasticsearch.search.aggregations.AggregationBuilders.histogram;
|
||||
import static org.elasticsearch.search.aggregations.AggregationBuilders.sum;
|
||||
import static org.elasticsearch.search.aggregations.AggregationBuilders.terms;
|
||||
import static org.elasticsearch.search.aggregations.reducers.ReducerBuilders.minBucket;
|
||||
import static org.elasticsearch.test.hamcrest.ElasticsearchAssertions.assertAcked;
|
||||
import static org.elasticsearch.test.hamcrest.ElasticsearchAssertions.assertSearchResponse;
|
||||
import static org.hamcrest.Matchers.equalTo;
|
||||
import static org.hamcrest.Matchers.greaterThan;
|
||||
import static org.hamcrest.core.IsNull.notNullValue;
|
||||
|
||||
@ElasticsearchIntegrationTest.SuiteScopeTest
|
||||
public class MinBucketTests extends ElasticsearchIntegrationTest {
|
||||
|
||||
private static final String SINGLE_VALUED_FIELD_NAME = "l_value";
|
||||
|
||||
static int numDocs;
|
||||
static int interval;
|
||||
static int minRandomValue;
|
||||
static int maxRandomValue;
|
||||
static int numValueBuckets;
|
||||
static long[] valueCounts;
|
||||
|
||||
@Override
|
||||
public void setupSuiteScopeCluster() throws Exception {
|
||||
createIndex("idx");
|
||||
createIndex("idx_unmapped");
|
||||
|
||||
numDocs = randomIntBetween(6, 20);
|
||||
interval = randomIntBetween(2, 5);
|
||||
|
||||
minRandomValue = 0;
|
||||
maxRandomValue = 20;
|
||||
|
||||
numValueBuckets = ((maxRandomValue - minRandomValue) / interval) + 1;
|
||||
valueCounts = new long[numValueBuckets];
|
||||
|
||||
List<IndexRequestBuilder> builders = new ArrayList<>();
|
||||
|
||||
for (int i = 0; i < numDocs; i++) {
|
||||
int fieldValue = randomIntBetween(minRandomValue, maxRandomValue);
|
||||
builders.add(client().prepareIndex("idx", "type").setSource(
|
||||
jsonBuilder().startObject().field(SINGLE_VALUED_FIELD_NAME, fieldValue).field("tag", "tag" + (i % interval))
|
||||
.endObject()));
|
||||
final int bucket = (fieldValue / interval); // + (fieldValue < 0 ? -1 : 0) - (minRandomValue / interval - 1);
|
||||
valueCounts[bucket]++;
|
||||
}
|
||||
|
||||
assertAcked(prepareCreate("empty_bucket_idx").addMapping("type", SINGLE_VALUED_FIELD_NAME, "type=integer"));
|
||||
for (int i = 0; i < 2; i++) {
|
||||
builders.add(client().prepareIndex("empty_bucket_idx", "type", "" + i).setSource(
|
||||
jsonBuilder().startObject().field(SINGLE_VALUED_FIELD_NAME, i * 2).endObject()));
|
||||
}
|
||||
indexRandom(true, builders);
|
||||
ensureSearchable();
|
||||
}
|
||||
|
||||
@Test
|
||||
public void testDocCount_topLevel() throws Exception {
|
||||
SearchResponse response = client().prepareSearch("idx")
|
||||
.addAggregation(histogram("histo").field(SINGLE_VALUED_FIELD_NAME).interval(interval).minDocCount(0)
|
||||
.extendedBounds((long) minRandomValue, (long) maxRandomValue))
|
||||
.addAggregation(minBucket("min_bucket").setBucketsPaths("histo>_count")).execute().actionGet();
|
||||
|
||||
assertSearchResponse(response);
|
||||
|
||||
Histogram histo = response.getAggregations().get("histo");
|
||||
assertThat(histo, notNullValue());
|
||||
assertThat(histo.getName(), equalTo("histo"));
|
||||
List<? extends Bucket> buckets = histo.getBuckets();
|
||||
assertThat(buckets.size(), equalTo(numValueBuckets));
|
||||
|
||||
List<String> minKeys = new ArrayList<>();
|
||||
double minValue = Double.POSITIVE_INFINITY;
|
||||
for (int i = 0; i < numValueBuckets; ++i) {
|
||||
Histogram.Bucket bucket = buckets.get(i);
|
||||
assertThat(bucket, notNullValue());
|
||||
assertThat(((Number) bucket.getKey()).longValue(), equalTo((long) i * interval));
|
||||
assertThat(bucket.getDocCount(), equalTo(valueCounts[i]));
|
||||
if (bucket.getDocCount() < minValue) {
|
||||
minValue = bucket.getDocCount();
|
||||
minKeys = new ArrayList<>();
|
||||
minKeys.add(bucket.getKeyAsString());
|
||||
} else if (bucket.getDocCount() == minValue) {
|
||||
minKeys.add(bucket.getKeyAsString());
|
||||
}
|
||||
}
|
||||
|
||||
InternalBucketMetricValue minBucketValue = response.getAggregations().get("min_bucket");
|
||||
assertThat(minBucketValue, notNullValue());
|
||||
assertThat(minBucketValue.getName(), equalTo("min_bucket"));
|
||||
assertThat(minBucketValue.value(), equalTo(minValue));
|
||||
assertThat(minBucketValue.keys(), equalTo(minKeys.toArray(new String[minKeys.size()])));
|
||||
}
|
||||
|
||||
@Test
|
||||
public void testDocCount_asSubAgg() throws Exception {
|
||||
SearchResponse response = client()
|
||||
.prepareSearch("idx")
|
||||
.addAggregation(
|
||||
terms("terms")
|
||||
.field("tag")
|
||||
.order(Order.term(true))
|
||||
.subAggregation(
|
||||
histogram("histo").field(SINGLE_VALUED_FIELD_NAME).interval(interval).minDocCount(0)
|
||||
.extendedBounds((long) minRandomValue, (long) maxRandomValue))
|
||||
.subAggregation(minBucket("min_bucket").setBucketsPaths("histo>_count"))).execute().actionGet();
|
||||
|
||||
assertSearchResponse(response);
|
||||
|
||||
Terms terms = response.getAggregations().get("terms");
|
||||
assertThat(terms, notNullValue());
|
||||
assertThat(terms.getName(), equalTo("terms"));
|
||||
List<Terms.Bucket> termsBuckets = terms.getBuckets();
|
||||
assertThat(termsBuckets.size(), equalTo(interval));
|
||||
|
||||
for (int i = 0; i < interval; ++i) {
|
||||
Terms.Bucket termsBucket = termsBuckets.get(i);
|
||||
assertThat(termsBucket, notNullValue());
|
||||
assertThat((String) termsBucket.getKey(), equalTo("tag" + (i % interval)));
|
||||
|
||||
Histogram histo = termsBucket.getAggregations().get("histo");
|
||||
assertThat(histo, notNullValue());
|
||||
assertThat(histo.getName(), equalTo("histo"));
|
||||
List<? extends Bucket> buckets = histo.getBuckets();
|
||||
|
||||
List<String> minKeys = new ArrayList<>();
|
||||
double minValue = Double.POSITIVE_INFINITY;
|
||||
for (int j = 0; j < numValueBuckets; ++j) {
|
||||
Histogram.Bucket bucket = buckets.get(j);
|
||||
assertThat(bucket, notNullValue());
|
||||
assertThat(((Number) bucket.getKey()).longValue(), equalTo((long) j * interval));
|
||||
if (bucket.getDocCount() < minValue) {
|
||||
minValue = bucket.getDocCount();
|
||||
minKeys = new ArrayList<>();
|
||||
minKeys.add(bucket.getKeyAsString());
|
||||
} else if (bucket.getDocCount() == minValue) {
|
||||
minKeys.add(bucket.getKeyAsString());
|
||||
}
|
||||
}
|
||||
|
||||
InternalBucketMetricValue minBucketValue = termsBucket.getAggregations().get("min_bucket");
|
||||
assertThat(minBucketValue, notNullValue());
|
||||
assertThat(minBucketValue.getName(), equalTo("min_bucket"));
|
||||
assertThat(minBucketValue.value(), equalTo(minValue));
|
||||
assertThat(minBucketValue.keys(), equalTo(minKeys.toArray(new String[minKeys.size()])));
|
||||
}
|
||||
}
|
||||
|
||||
@Test
|
||||
public void testMetric_topLevel() throws Exception {
|
||||
SearchResponse response = client()
|
||||
.prepareSearch("idx")
|
||||
.addAggregation(terms("terms").field("tag").subAggregation(sum("sum").field(SINGLE_VALUED_FIELD_NAME)))
|
||||
.addAggregation(minBucket("min_bucket").setBucketsPaths("terms>sum")).execute().actionGet();
|
||||
|
||||
assertSearchResponse(response);
|
||||
|
||||
Terms terms = response.getAggregations().get("terms");
|
||||
assertThat(terms, notNullValue());
|
||||
assertThat(terms.getName(), equalTo("terms"));
|
||||
List<Terms.Bucket> buckets = terms.getBuckets();
|
||||
assertThat(buckets.size(), equalTo(interval));
|
||||
|
||||
List<String> minKeys = new ArrayList<>();
|
||||
double minValue = Double.POSITIVE_INFINITY;
|
||||
for (int i = 0; i < interval; ++i) {
|
||||
Terms.Bucket bucket = buckets.get(i);
|
||||
assertThat(bucket, notNullValue());
|
||||
assertThat((String) bucket.getKey(), equalTo("tag" + (i % interval)));
|
||||
assertThat(bucket.getDocCount(), greaterThan(0l));
|
||||
Sum sum = bucket.getAggregations().get("sum");
|
||||
assertThat(sum, notNullValue());
|
||||
if (sum.value() < minValue) {
|
||||
minValue = sum.value();
|
||||
minKeys = new ArrayList<>();
|
||||
minKeys.add(bucket.getKeyAsString());
|
||||
} else if (sum.value() == minValue) {
|
||||
minKeys.add(bucket.getKeyAsString());
|
||||
}
|
||||
}
|
||||
|
||||
InternalBucketMetricValue minBucketValue = response.getAggregations().get("min_bucket");
|
||||
assertThat(minBucketValue, notNullValue());
|
||||
assertThat(minBucketValue.getName(), equalTo("min_bucket"));
|
||||
assertThat(minBucketValue.value(), equalTo(minValue));
|
||||
assertThat(minBucketValue.keys(), equalTo(minKeys.toArray(new String[minKeys.size()])));
|
||||
}
|
||||
|
||||
@Test
|
||||
public void testMetric_asSubAgg() throws Exception {
|
||||
SearchResponse response = client()
|
||||
.prepareSearch("idx")
|
||||
.addAggregation(
|
||||
terms("terms")
|
||||
.field("tag")
|
||||
.order(Order.term(true))
|
||||
.subAggregation(
|
||||
histogram("histo").field(SINGLE_VALUED_FIELD_NAME).interval(interval).minDocCount(0)
|
||||
.extendedBounds((long) minRandomValue, (long) maxRandomValue)
|
||||
.subAggregation(sum("sum").field(SINGLE_VALUED_FIELD_NAME)))
|
||||
.subAggregation(minBucket("min_bucket").setBucketsPaths("histo>sum"))).execute().actionGet();
|
||||
|
||||
assertSearchResponse(response);
|
||||
|
||||
Terms terms = response.getAggregations().get("terms");
|
||||
assertThat(terms, notNullValue());
|
||||
assertThat(terms.getName(), equalTo("terms"));
|
||||
List<Terms.Bucket> termsBuckets = terms.getBuckets();
|
||||
assertThat(termsBuckets.size(), equalTo(interval));
|
||||
|
||||
for (int i = 0; i < interval; ++i) {
|
||||
Terms.Bucket termsBucket = termsBuckets.get(i);
|
||||
assertThat(termsBucket, notNullValue());
|
||||
assertThat((String) termsBucket.getKey(), equalTo("tag" + (i % interval)));
|
||||
|
||||
Histogram histo = termsBucket.getAggregations().get("histo");
|
||||
assertThat(histo, notNullValue());
|
||||
assertThat(histo.getName(), equalTo("histo"));
|
||||
List<? extends Bucket> buckets = histo.getBuckets();
|
||||
|
||||
List<String> minKeys = new ArrayList<>();
|
||||
double minValue = Double.POSITIVE_INFINITY;
|
||||
for (int j = 0; j < numValueBuckets; ++j) {
|
||||
Histogram.Bucket bucket = buckets.get(j);
|
||||
assertThat(bucket, notNullValue());
|
||||
assertThat(((Number) bucket.getKey()).longValue(), equalTo((long) j * interval));
|
||||
if (bucket.getDocCount() != 0) {
|
||||
Sum sum = bucket.getAggregations().get("sum");
|
||||
assertThat(sum, notNullValue());
|
||||
if (sum.value() < minValue) {
|
||||
minValue = sum.value();
|
||||
minKeys = new ArrayList<>();
|
||||
minKeys.add(bucket.getKeyAsString());
|
||||
} else if (sum.value() == minValue) {
|
||||
minKeys.add(bucket.getKeyAsString());
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
InternalBucketMetricValue minBucketValue = termsBucket.getAggregations().get("min_bucket");
|
||||
assertThat(minBucketValue, notNullValue());
|
||||
assertThat(minBucketValue.getName(), equalTo("min_bucket"));
|
||||
assertThat(minBucketValue.value(), equalTo(minValue));
|
||||
assertThat(minBucketValue.keys(), equalTo(minKeys.toArray(new String[minKeys.size()])));
|
||||
}
|
||||
}
|
||||
|
||||
@Test
|
||||
public void testMetric_asSubAggWithInsertZeros() throws Exception {
|
||||
SearchResponse response = client()
|
||||
.prepareSearch("idx")
|
||||
.addAggregation(
|
||||
terms("terms")
|
||||
.field("tag")
|
||||
.order(Order.term(true))
|
||||
.subAggregation(
|
||||
histogram("histo").field(SINGLE_VALUED_FIELD_NAME).interval(interval).minDocCount(0)
|
||||
.extendedBounds((long) minRandomValue, (long) maxRandomValue)
|
||||
.subAggregation(sum("sum").field(SINGLE_VALUED_FIELD_NAME)))
|
||||
.subAggregation(minBucket("min_bucket").setBucketsPaths("histo>sum").gapPolicy(GapPolicy.INSERT_ZEROS)))
|
||||
.execute().actionGet();
|
||||
|
||||
assertSearchResponse(response);
|
||||
|
||||
Terms terms = response.getAggregations().get("terms");
|
||||
assertThat(terms, notNullValue());
|
||||
assertThat(terms.getName(), equalTo("terms"));
|
||||
List<Terms.Bucket> termsBuckets = terms.getBuckets();
|
||||
assertThat(termsBuckets.size(), equalTo(interval));
|
||||
|
||||
for (int i = 0; i < interval; ++i) {
|
||||
Terms.Bucket termsBucket = termsBuckets.get(i);
|
||||
assertThat(termsBucket, notNullValue());
|
||||
assertThat((String) termsBucket.getKey(), equalTo("tag" + (i % interval)));
|
||||
|
||||
Histogram histo = termsBucket.getAggregations().get("histo");
|
||||
assertThat(histo, notNullValue());
|
||||
assertThat(histo.getName(), equalTo("histo"));
|
||||
List<? extends Bucket> buckets = histo.getBuckets();
|
||||
|
||||
List<String> minKeys = new ArrayList<>();
|
||||
double minValue = Double.POSITIVE_INFINITY;
|
||||
for (int j = 0; j < numValueBuckets; ++j) {
|
||||
Histogram.Bucket bucket = buckets.get(j);
|
||||
assertThat(bucket, notNullValue());
|
||||
assertThat(((Number) bucket.getKey()).longValue(), equalTo((long) j * interval));
|
||||
Sum sum = bucket.getAggregations().get("sum");
|
||||
assertThat(sum, notNullValue());
|
||||
if (sum.value() < minValue) {
|
||||
minValue = sum.value();
|
||||
minKeys = new ArrayList<>();
|
||||
minKeys.add(bucket.getKeyAsString());
|
||||
} else if (sum.value() == minValue) {
|
||||
minKeys.add(bucket.getKeyAsString());
|
||||
}
|
||||
}
|
||||
|
||||
InternalBucketMetricValue minBucketValue = termsBucket.getAggregations().get("min_bucket");
|
||||
assertThat(minBucketValue, notNullValue());
|
||||
assertThat(minBucketValue.getName(), equalTo("min_bucket"));
|
||||
assertThat(minBucketValue.value(), equalTo(minValue));
|
||||
assertThat(minBucketValue.keys(), equalTo(minKeys.toArray(new String[minKeys.size()])));
|
||||
}
|
||||
}
|
||||
|
||||
@Test
|
||||
public void testNoBuckets() throws Exception {
|
||||
SearchResponse response = client().prepareSearch("idx")
|
||||
.addAggregation(terms("terms").field("tag").exclude("tag.*").subAggregation(sum("sum").field(SINGLE_VALUED_FIELD_NAME)))
|
||||
.addAggregation(minBucket("min_bucket").setBucketsPaths("terms>sum")).execute().actionGet();
|
||||
|
||||
assertSearchResponse(response);
|
||||
|
||||
Terms terms = response.getAggregations().get("terms");
|
||||
assertThat(terms, notNullValue());
|
||||
assertThat(terms.getName(), equalTo("terms"));
|
||||
List<Terms.Bucket> buckets = terms.getBuckets();
|
||||
assertThat(buckets.size(), equalTo(0));
|
||||
|
||||
InternalBucketMetricValue minBucketValue = response.getAggregations().get("min_bucket");
|
||||
assertThat(minBucketValue, notNullValue());
|
||||
assertThat(minBucketValue.getName(), equalTo("min_bucket"));
|
||||
assertThat(minBucketValue.value(), equalTo(Double.POSITIVE_INFINITY));
|
||||
assertThat(minBucketValue.keys(), equalTo(new String[0]));
|
||||
}
|
||||
|
||||
@Test
|
||||
public void testNested() throws Exception {
|
||||
SearchResponse response = client()
|
||||
.prepareSearch("idx")
|
||||
.addAggregation(
|
||||
terms("terms")
|
||||
.field("tag")
|
||||
.order(Order.term(true))
|
||||
.subAggregation(
|
||||
histogram("histo").field(SINGLE_VALUED_FIELD_NAME).interval(interval).minDocCount(0)
|
||||
.extendedBounds((long) minRandomValue, (long) maxRandomValue))
|
||||
.subAggregation(minBucket("min_histo_bucket").setBucketsPaths("histo>_count")))
|
||||
.addAggregation(minBucket("min_terms_bucket").setBucketsPaths("terms>min_histo_bucket")).execute().actionGet();
|
||||
|
||||
assertSearchResponse(response);
|
||||
|
||||
Terms terms = response.getAggregations().get("terms");
|
||||
assertThat(terms, notNullValue());
|
||||
assertThat(terms.getName(), equalTo("terms"));
|
||||
List<Terms.Bucket> termsBuckets = terms.getBuckets();
|
||||
assertThat(termsBuckets.size(), equalTo(interval));
|
||||
|
||||
List<String> minTermsKeys = new ArrayList<>();
|
||||
double minTermsValue = Double.POSITIVE_INFINITY;
|
||||
for (int i = 0; i < interval; ++i) {
|
||||
Terms.Bucket termsBucket = termsBuckets.get(i);
|
||||
assertThat(termsBucket, notNullValue());
|
||||
assertThat((String) termsBucket.getKey(), equalTo("tag" + (i % interval)));
|
||||
|
||||
Histogram histo = termsBucket.getAggregations().get("histo");
|
||||
assertThat(histo, notNullValue());
|
||||
assertThat(histo.getName(), equalTo("histo"));
|
||||
List<? extends Bucket> buckets = histo.getBuckets();
|
||||
|
||||
List<String> minHistoKeys = new ArrayList<>();
|
||||
double minHistoValue = Double.POSITIVE_INFINITY;
|
||||
for (int j = 0; j < numValueBuckets; ++j) {
|
||||
Histogram.Bucket bucket = buckets.get(j);
|
||||
assertThat(bucket, notNullValue());
|
||||
assertThat(((Number) bucket.getKey()).longValue(), equalTo((long) j * interval));
|
||||
if (bucket.getDocCount() < minHistoValue) {
|
||||
minHistoValue = bucket.getDocCount();
|
||||
minHistoKeys = new ArrayList<>();
|
||||
minHistoKeys.add(bucket.getKeyAsString());
|
||||
} else if (bucket.getDocCount() == minHistoValue) {
|
||||
minHistoKeys.add(bucket.getKeyAsString());
|
||||
}
|
||||
}
|
||||
|
||||
InternalBucketMetricValue minBucketValue = termsBucket.getAggregations().get("min_histo_bucket");
|
||||
assertThat(minBucketValue, notNullValue());
|
||||
assertThat(minBucketValue.getName(), equalTo("min_histo_bucket"));
|
||||
assertThat(minBucketValue.value(), equalTo(minHistoValue));
|
||||
assertThat(minBucketValue.keys(), equalTo(minHistoKeys.toArray(new String[minHistoKeys.size()])));
|
||||
if (minHistoValue < minTermsValue) {
|
||||
minTermsValue = minHistoValue;
|
||||
minTermsKeys = new ArrayList<>();
|
||||
minTermsKeys.add(termsBucket.getKeyAsString());
|
||||
} else if (minHistoValue == minTermsValue) {
|
||||
minTermsKeys.add(termsBucket.getKeyAsString());
|
||||
}
|
||||
}
|
||||
|
||||
InternalBucketMetricValue minBucketValue = response.getAggregations().get("min_terms_bucket");
|
||||
assertThat(minBucketValue, notNullValue());
|
||||
assertThat(minBucketValue.getName(), equalTo("min_terms_bucket"));
|
||||
assertThat(minBucketValue.value(), equalTo(minTermsValue));
|
||||
assertThat(minBucketValue.keys(), equalTo(minTermsKeys.toArray(new String[minTermsKeys.size()])));
|
||||
}
|
||||
}
|
||||
Loading…
Reference in New Issue