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Merge pull request #13128 from polyfractal/feature/stats_pipeline 

Aggregations: Add stats_bucket / extended_stats_bucket pipeline aggs
This commit is contained in:
Zachary Tong 2015-09-04 15:25:43 -04:00
parent 242c8c0465 397d5beae1
commit 1f8702e38e
19 changed files with 1770 additions and 3 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

10
core/src/main/java/org/elasticsearch/search/SearchModule.java
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@ -111,6 +111,10 @@ import org.elasticsearch.search.aggregations.pipeline.bucketmetrics.min.MinBucke
import org.elasticsearch.search.aggregations.pipeline.bucketmetrics.min.MinBucketPipelineAggregator;
import org.elasticsearch.search.aggregations.pipeline.bucketmetrics.percentile.PercentilesBucketParser;
import org.elasticsearch.search.aggregations.pipeline.bucketmetrics.percentile.PercentilesBucketPipelineAggregator;
import org.elasticsearch.search.aggregations.pipeline.bucketmetrics.stats.StatsBucketParser;
import org.elasticsearch.search.aggregations.pipeline.bucketmetrics.stats.StatsBucketPipelineAggregator;
import org.elasticsearch.search.aggregations.pipeline.bucketmetrics.stats.extended.ExtendedStatsBucketParser;
import org.elasticsearch.search.aggregations.pipeline.bucketmetrics.stats.extended.ExtendedStatsBucketPipelineAggregator;
import org.elasticsearch.search.aggregations.pipeline.bucketmetrics.sum.SumBucketParser;
import org.elasticsearch.search.aggregations.pipeline.bucketmetrics.sum.SumBucketPipelineAggregator;
import org.elasticsearch.search.aggregations.pipeline.bucketscript.BucketScriptParser;
@ -300,6 +304,8 @@ public class SearchModule extends AbstractModule {
multibinderPipelineAggParser.addBinding().to(MinBucketParser.class);
multibinderPipelineAggParser.addBinding().to(AvgBucketParser.class);
multibinderPipelineAggParser.addBinding().to(SumBucketParser.class);
multibinderPipelineAggParser.addBinding().to(StatsBucketParser.class);
multibinderPipelineAggParser.addBinding().to(ExtendedStatsBucketParser.class);
multibinderPipelineAggParser.addBinding().to(PercentilesBucketParser.class);
multibinderPipelineAggParser.addBinding().to(MovAvgParser.class);
multibinderPipelineAggParser.addBinding().to(CumulativeSumParser.class);
@ -393,7 +399,9 @@ public class SearchModule extends AbstractModule {
MinBucketPipelineAggregator.registerStreams();
AvgBucketPipelineAggregator.registerStreams();
SumBucketPipelineAggregator.registerStreams();
PercentilesBucketPipelineAggregator.registerStreams();
StatsBucketPipelineAggregator.registerStreams();
ExtendedStatsBucketPipelineAggregator.registerStreams();
PercentilesBucketPipelineAggregator.registerStreams();
MovAvgPipelineAggregator.registerStreams();
CumulativeSumPipelineAggregator.registerStreams();
BucketScriptPipelineAggregator.registerStreams();

2
core/src/main/java/org/elasticsearch/search/aggregations/metrics/stats/extended/InternalExtendedStats.java
View File

@ -65,7 +65,7 @@ public class InternalExtendedStats extends InternalStats implements ExtendedStat
private double sumOfSqrs;
private double sigma;
InternalExtendedStats() {} // for serialization
protected InternalExtendedStats() {} // for serialization
public InternalExtendedStats(String name, long count, double sum, double min, double max, double sumOfSqrs, double sigma,
ValueFormatter formatter, List<PipelineAggregator> pipelineAggregators, Map<String, Object> metaData) {

10
core/src/main/java/org/elasticsearch/search/aggregations/pipeline/PipelineAggregatorBuilders.java
View File

@ -22,6 +22,8 @@ package org.elasticsearch.search.aggregations.pipeline;
import org.elasticsearch.search.aggregations.pipeline.bucketmetrics.avg.AvgBucketBuilder;
import org.elasticsearch.search.aggregations.pipeline.bucketmetrics.max.MaxBucketBuilder;
import org.elasticsearch.search.aggregations.pipeline.bucketmetrics.min.MinBucketBuilder;
import org.elasticsearch.search.aggregations.pipeline.bucketmetrics.stats.StatsBucketBuilder;
import org.elasticsearch.search.aggregations.pipeline.bucketmetrics.stats.extended.ExtendedStatsBucketBuilder;
import org.elasticsearch.search.aggregations.pipeline.bucketmetrics.percentile.PercentilesBucketBuilder;
import org.elasticsearch.search.aggregations.pipeline.bucketmetrics.sum.SumBucketBuilder;
import org.elasticsearch.search.aggregations.pipeline.cumulativesum.CumulativeSumBuilder;
@ -56,6 +58,14 @@ public final class PipelineAggregatorBuilders {
return new SumBucketBuilder(name);
}
public static final StatsBucketBuilder statsBucket(String name) {
return new StatsBucketBuilder(name);
}
public static final ExtendedStatsBucketBuilder extendedStatsBucket(String name) {
return new ExtendedStatsBucketBuilder(name);
}
public static final PercentilesBucketBuilder percentilesBucket(String name) {
return new PercentilesBucketBuilder(name);
}

2
core/src/main/java/org/elasticsearch/search/aggregations/pipeline/bucketmetrics/BucketMetricsParser.java
View File

@ -117,4 +117,4 @@ public abstract class BucketMetricsParser implements PipelineAggregator.Parser {
protected abstract PipelineAggregatorFactory buildFactory(String pipelineAggregatorName, String[] bucketsPaths, GapPolicy gapPolicy,
ValueFormatter formatter, Map<String, Object> unparsedParams) throws ParseException;
}
}

68
core/src/main/java/org/elasticsearch/search/aggregations/pipeline/bucketmetrics/stats/InternalStatsBucket.java Normal file
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@ -0,0 +1,68 @@
/*
* 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.pipeline.bucketmetrics.stats;
import org.elasticsearch.common.io.stream.StreamInput;
import org.elasticsearch.search.aggregations.AggregationStreams;
import org.elasticsearch.search.aggregations.InternalAggregation;
import org.elasticsearch.search.aggregations.metrics.stats.InternalStats;
import org.elasticsearch.search.aggregations.pipeline.PipelineAggregator;
import org.elasticsearch.search.aggregations.support.format.ValueFormatter;
import java.io.IOException;
import java.util.List;
import java.util.Map;
public class InternalStatsBucket extends InternalStats implements StatsBucket {
public final static Type TYPE = new Type("stats_bucket");
public final static AggregationStreams.Stream STREAM = new AggregationStreams.Stream() {
@Override
public InternalStatsBucket readResult(StreamInput in) throws IOException {
InternalStatsBucket result = new InternalStatsBucket();
result.readFrom(in);
return result;
}
};
public static void registerStreams() {
AggregationStreams.registerStream(STREAM, TYPE.stream());
}
public InternalStatsBucket(String name, long count, double sum, double min, double max, ValueFormatter formatter,
List<PipelineAggregator> pipelineAggregators, Map<String, Object> metaData) {
super(name, count, sum, min, max, formatter, pipelineAggregators, metaData);
}
InternalStatsBucket() {
// For serialization
}
@Override
public Type type() {
return TYPE;
}
@Override
public InternalStats doReduce(List<InternalAggregation> aggregations, ReduceContext reduceContext) {
throw new UnsupportedOperationException("Not supported");
}
}

29
core/src/main/java/org/elasticsearch/search/aggregations/pipeline/bucketmetrics/stats/StatsBucket.java Normal file
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@ -0,0 +1,29 @@
package org.elasticsearch.search.aggregations.pipeline.bucketmetrics.stats;
/*
* 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.
*/
import org.elasticsearch.search.aggregations.metrics.stats.Stats;
/**
* Statistics over a set of buckets
*/
public interface StatsBucket extends Stats {
}

30
core/src/main/java/org/elasticsearch/search/aggregations/pipeline/bucketmetrics/stats/StatsBucketBuilder.java Normal file
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@ -0,0 +1,30 @@
/*
* 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.pipeline.bucketmetrics.stats;
import org.elasticsearch.search.aggregations.pipeline.bucketmetrics.BucketMetricsBuilder;
public class StatsBucketBuilder extends BucketMetricsBuilder<StatsBucketBuilder> {
public StatsBucketBuilder(String name) {
super(name, StatsBucketPipelineAggregator.TYPE.name());
}
}

40
core/src/main/java/org/elasticsearch/search/aggregations/pipeline/bucketmetrics/stats/StatsBucketParser.java Normal file
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@ -0,0 +1,40 @@
/*
* 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.pipeline.bucketmetrics.stats;
import org.elasticsearch.search.aggregations.pipeline.BucketHelpers.GapPolicy;
import org.elasticsearch.search.aggregations.pipeline.PipelineAggregatorFactory;
import org.elasticsearch.search.aggregations.pipeline.bucketmetrics.BucketMetricsParser;
import org.elasticsearch.search.aggregations.support.format.ValueFormatter;
import java.util.Map;
public class StatsBucketParser extends BucketMetricsParser {
@Override
public String type() {
return StatsBucketPipelineAggregator.TYPE.name();
}
@Override
protected PipelineAggregatorFactory buildFactory(String pipelineAggregatorName, String[] bucketsPaths, GapPolicy gapPolicy,
ValueFormatter formatter, Map<String, Object> unparsedParams) {
return new StatsBucketPipelineAggregator.Factory(pipelineAggregatorName, bucketsPaths, gapPolicy, formatter);
}
}

122
core/src/main/java/org/elasticsearch/search/aggregations/pipeline/bucketmetrics/stats/StatsBucketPipelineAggregator.java Normal file
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@ -0,0 +1,122 @@
/*
* 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.pipeline.bucketmetrics.stats;
import org.elasticsearch.common.io.stream.StreamInput;
import org.elasticsearch.search.aggregations.AggregatorFactory;
import org.elasticsearch.search.aggregations.InternalAggregation;
import org.elasticsearch.search.aggregations.InternalAggregation.Type;
import org.elasticsearch.search.aggregations.pipeline.BucketHelpers.GapPolicy;
import org.elasticsearch.search.aggregations.pipeline.PipelineAggregator;
import org.elasticsearch.search.aggregations.pipeline.PipelineAggregatorFactory;
import org.elasticsearch.search.aggregations.pipeline.PipelineAggregatorStreams;
import org.elasticsearch.search.aggregations.pipeline.bucketmetrics.BucketMetricsPipelineAggregator;
import org.elasticsearch.search.aggregations.support.format.ValueFormatter;
import java.io.IOException;
import java.util.List;
import java.util.Map;
public class StatsBucketPipelineAggregator extends BucketMetricsPipelineAggregator {
public final static Type TYPE = new Type("stats_bucket");
public final static PipelineAggregatorStreams.Stream STREAM = new PipelineAggregatorStreams.Stream() {
@Override
public StatsBucketPipelineAggregator readResult(StreamInput in) throws IOException {
StatsBucketPipelineAggregator result = new StatsBucketPipelineAggregator();
result.readFrom(in);
return result;
}
};
public static void registerStreams() {
PipelineAggregatorStreams.registerStream(STREAM, TYPE.stream());
InternalStatsBucket.registerStreams();
}
private double sum = 0;
private long count = 0;
private double min = Double.POSITIVE_INFINITY;
private double max = Double.NEGATIVE_INFINITY;
protected StatsBucketPipelineAggregator(String name, String[] bucketsPaths, GapPolicy gapPolicy, ValueFormatter formatter,
Map<String, Object> metaData) {
super(name, bucketsPaths, gapPolicy, formatter, metaData);
}
StatsBucketPipelineAggregator() {
// For serialization
}
@Override
public Type type() {
return TYPE;
}
@Override
protected void preCollection() {
sum = 0;
count = 0;
min = Double.POSITIVE_INFINITY;
max = Double.NEGATIVE_INFINITY;
}
@Override
protected void collectBucketValue(String bucketKey, Double bucketValue) {
sum += bucketValue;
min = Math.min(min, bucketValue);
max = Math.max(max, bucketValue);
count += 1;
}
@Override
protected InternalAggregation buildAggregation(List<PipelineAggregator> pipelineAggregators, Map<String, Object> metadata) {
return new InternalStatsBucket(name(), count, sum, min, max, formatter, pipelineAggregators, metadata);
}
public static class Factory extends PipelineAggregatorFactory {
private final ValueFormatter formatter;
private final GapPolicy gapPolicy;
public Factory(String name, String[] bucketsPaths, GapPolicy gapPolicy, ValueFormatter formatter) {
super(name, TYPE.name(), bucketsPaths);
this.gapPolicy = gapPolicy;
this.formatter = formatter;
}
@Override
protected PipelineAggregator createInternal(Map<String, Object> metaData) throws IOException {
return new StatsBucketPipelineAggregator(name, bucketsPaths, gapPolicy, formatter, metaData);
}
@Override
public void doValidate(AggregatorFactory parent, AggregatorFactory[] aggFactories,
List<PipelineAggregatorFactory> pipelineAggregatorFactories) {
if (bucketsPaths.length != 1) {
throw new IllegalStateException(Parser.BUCKETS_PATH.getPreferredName()
+ " must contain a single entry for aggregation [" + name + "]");
}
}
}
}

9
core/src/main/java/org/elasticsearch/search/aggregations/pipeline/bucketmetrics/stats/extended/ExtendedStatsBucket.java Normal file
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@ -0,0 +1,9 @@
package org.elasticsearch.search.aggregations.pipeline.bucketmetrics.stats.extended;
import org.elasticsearch.search.aggregations.metrics.stats.extended.ExtendedStats;
/**
* Extended Statistics over a set of buckets
*/
public interface ExtendedStatsBucket extends ExtendedStats {
}

47
core/src/main/java/org/elasticsearch/search/aggregations/pipeline/bucketmetrics/stats/extended/ExtendedStatsBucketBuilder.java Normal file
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@ -0,0 +1,47 @@
/*
* 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.pipeline.bucketmetrics.stats.extended;
import org.elasticsearch.common.xcontent.XContentBuilder;
import org.elasticsearch.search.aggregations.pipeline.bucketmetrics.BucketMetricsBuilder;
import java.io.IOException;
public class ExtendedStatsBucketBuilder extends BucketMetricsBuilder<ExtendedStatsBucketBuilder> {
Double sigma;
public ExtendedStatsBucketBuilder(String name) {
super(name, ExtendedStatsBucketPipelineAggregator.TYPE.name());
}
public ExtendedStatsBucketBuilder sigma(Double sigma) {
this.sigma = sigma;
return this;
}
@Override
protected void doInternalXContent(XContentBuilder builder, Params params) throws IOException {
if (sigma != null) {
builder.field(ExtendedStatsBucketParser.SIGMA.getPreferredName(), sigma);
}
}
}

57
core/src/main/java/org/elasticsearch/search/aggregations/pipeline/bucketmetrics/stats/extended/ExtendedStatsBucketParser.java Normal file
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@ -0,0 +1,57 @@
/*
* 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.pipeline.bucketmetrics.stats.extended;
import org.elasticsearch.common.ParseField;
import org.elasticsearch.search.aggregations.pipeline.BucketHelpers.GapPolicy;
import org.elasticsearch.search.aggregations.pipeline.PipelineAggregatorFactory;
import org.elasticsearch.search.aggregations.pipeline.bucketmetrics.BucketMetricsParser;
import org.elasticsearch.search.aggregations.support.format.ValueFormatter;
import java.text.ParseException;
import java.util.Map;
public class ExtendedStatsBucketParser extends BucketMetricsParser {
static final ParseField SIGMA = new ParseField("sigma");
@Override
public String type() {
return ExtendedStatsBucketPipelineAggregator.TYPE.name();
}
@Override
protected PipelineAggregatorFactory buildFactory(String pipelineAggregatorName, String[] bucketsPaths, GapPolicy gapPolicy,
ValueFormatter formatter, Map<String, Object> unparsedParams) throws ParseException {
double sigma = 2.0;
Object param = unparsedParams.get(SIGMA.getPreferredName());
if (param != null) {
if (param instanceof Double) {
sigma = (Double) param;
unparsedParams.remove(SIGMA.getPreferredName());
} else {
throw new ParseException("Parameter [" + SIGMA.getPreferredName() + "] must be a Double, type `"
+ param.getClass().getSimpleName() + "` provided instead", 0);
}
}
return new ExtendedStatsBucketPipelineAggregator.Factory(pipelineAggregatorName, bucketsPaths, sigma, gapPolicy, formatter);
}
}

134
core/src/main/java/org/elasticsearch/search/aggregations/pipeline/bucketmetrics/stats/extended/ExtendedStatsBucketPipelineAggregator.java Normal file
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@ -0,0 +1,134 @@
/*
* 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.pipeline.bucketmetrics.stats.extended;
import org.elasticsearch.common.io.stream.StreamInput;
import org.elasticsearch.search.aggregations.AggregatorFactory;
import org.elasticsearch.search.aggregations.InternalAggregation;
import org.elasticsearch.search.aggregations.InternalAggregation.Type;
import org.elasticsearch.search.aggregations.pipeline.BucketHelpers.GapPolicy;
import org.elasticsearch.search.aggregations.pipeline.PipelineAggregator;
import org.elasticsearch.search.aggregations.pipeline.PipelineAggregatorFactory;
import org.elasticsearch.search.aggregations.pipeline.PipelineAggregatorStreams;
import org.elasticsearch.search.aggregations.pipeline.bucketmetrics.BucketMetricsPipelineAggregator;
import org.elasticsearch.search.aggregations.support.format.ValueFormatter;
import java.io.IOException;
import java.util.List;
import java.util.Map;
public class ExtendedStatsBucketPipelineAggregator extends BucketMetricsPipelineAggregator {
public final static Type TYPE = new Type("extended_stats_bucket");
public final static PipelineAggregatorStreams.Stream STREAM = new PipelineAggregatorStreams.Stream() {
@Override
public ExtendedStatsBucketPipelineAggregator readResult(StreamInput in) throws IOException {
ExtendedStatsBucketPipelineAggregator result = new ExtendedStatsBucketPipelineAggregator();
result.readFrom(in);
return result;
}
};
public static void registerStreams() {
PipelineAggregatorStreams.registerStream(STREAM, TYPE.stream());
InternalExtendedStatsBucket.registerStreams();
}
private double sum = 0;
private long count = 0;
private double min = Double.POSITIVE_INFINITY;
private double max = Double.NEGATIVE_INFINITY;
private double sumOfSqrs = 1;
private double sigma;
protected ExtendedStatsBucketPipelineAggregator(String name, String[] bucketsPaths, double sigma, GapPolicy gapPolicy,
ValueFormatter formatter, Map<String, Object> metaData) {
super(name, bucketsPaths, gapPolicy, formatter, metaData);
this.sigma = sigma;
}
ExtendedStatsBucketPipelineAggregator() {
// For Serialization
}
@Override
public Type type() {
return TYPE;
}
@Override
protected void preCollection() {
sum = 0;
count = 0;
min = Double.POSITIVE_INFINITY;
max = Double.NEGATIVE_INFINITY;
sumOfSqrs = 1;
}
@Override
protected void collectBucketValue(String bucketKey, Double bucketValue) {
sum += bucketValue;
min = Math.min(min, bucketValue);
max = Math.max(max, bucketValue);
count += 1;
sumOfSqrs += bucketValue * bucketValue;
}
@Override
protected InternalAggregation buildAggregation(List<PipelineAggregator> pipelineAggregators, Map<String, Object> metadata) {
return new InternalExtendedStatsBucket(name(), count, sum, min, max, sumOfSqrs, sigma, formatter, pipelineAggregators, metadata);
}
public static class Factory extends PipelineAggregatorFactory {
private final ValueFormatter formatter;
private final GapPolicy gapPolicy;
private final double sigma;
public Factory(String name, String[] bucketsPaths, double sigma, GapPolicy gapPolicy, ValueFormatter formatter) {
super(name, TYPE.name(), bucketsPaths);
this.gapPolicy = gapPolicy;
this.formatter = formatter;
this.sigma = sigma;
}
@Override
protected PipelineAggregator createInternal(Map<String, Object> metaData) throws IOException {
return new ExtendedStatsBucketPipelineAggregator(name, bucketsPaths, sigma, gapPolicy, formatter, metaData);
}
@Override
public void doValidate(AggregatorFactory parent, AggregatorFactory[] aggFactories,
List<PipelineAggregatorFactory> pipelineAggregatorFactories) {
if (bucketsPaths.length != 1) {
throw new IllegalStateException(Parser.BUCKETS_PATH.getPreferredName()
+ " must contain a single entry for aggregation [" + name + "]");
}
if (sigma < 0.0 ) {
throw new IllegalStateException(ExtendedStatsBucketParser.SIGMA.getPreferredName()
+ " must be a non-negative double");
}
}
}
}

70
core/src/main/java/org/elasticsearch/search/aggregations/pipeline/bucketmetrics/stats/extended/InternalExtendedStatsBucket.java Normal file
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@ -0,0 +1,70 @@
/*
* 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.pipeline.bucketmetrics.stats.extended;
import org.elasticsearch.common.io.stream.StreamInput;
import org.elasticsearch.search.aggregations.AggregationStreams;
import org.elasticsearch.search.aggregations.InternalAggregation;
import org.elasticsearch.search.aggregations.metrics.stats.extended.InternalExtendedStats;
import org.elasticsearch.search.aggregations.pipeline.PipelineAggregator;
import org.elasticsearch.search.aggregations.support.format.ValueFormatter;
import java.io.IOException;
import java.util.List;
import java.util.Map;
public class InternalExtendedStatsBucket extends InternalExtendedStats implements ExtendedStatsBucket {
public final static Type TYPE = new Type("extended_stats_bucket");
public final static AggregationStreams.Stream STREAM = new AggregationStreams.Stream() {
@Override
public InternalExtendedStatsBucket readResult(StreamInput in) throws IOException {
InternalExtendedStatsBucket result = new InternalExtendedStatsBucket();
result.readFrom(in);
return result;
}
};
public static void registerStreams() {
AggregationStreams.registerStream(STREAM, TYPE.stream());
}
InternalExtendedStatsBucket(String name, long count, double sum, double min, double max, double sumOfSqrs, double sigma,
ValueFormatter formatter, List<PipelineAggregator> pipelineAggregators,
Map<String, Object> metaData) {
super(name, count, sum, min, max, sumOfSqrs, sigma, formatter, pipelineAggregators, metaData);
}
InternalExtendedStatsBucket() {
// for serialization
}
@Override
public Type type() {
return TYPE;
}
@Override
public org.elasticsearch.search.aggregations.metrics.stats.extended.InternalExtendedStats doReduce(
List<InternalAggregation> aggregations, ReduceContext reduceContext) {
throw new UnsupportedOperationException("Not supported");
}
}

478
core/src/test/java/org/elasticsearch/search/aggregations/pipeline/ExtendedStatsBucketIT.java Normal file
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@ -0,0 +1,478 @@
/*
* 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.pipeline;
import org.elasticsearch.action.index.IndexRequestBuilder;
import org.elasticsearch.action.search.SearchPhaseExecutionException;
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.pipeline.BucketHelpers.GapPolicy;
import org.elasticsearch.search.aggregations.pipeline.bucketmetrics.stats.extended.ExtendedStatsBucket;
import org.elasticsearch.test.ESIntegTestCase;
import org.junit.Test;
import java.util.ArrayList;
import java.util.List;
import static org.elasticsearch.search.aggregations.pipeline.PipelineAggregatorBuilders.extendedStatsBucket;
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.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;
@ESIntegTestCase.SuiteScopeTestCase
public class ExtendedStatsBucketIT extends ESIntegTestCase {
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)
.extendedBounds((long) minRandomValue, (long) maxRandomValue))
.addAggregation(extendedStatsBucket("extended_stats_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));
double sum = 0;
int count = 0;
double min = Double.POSITIVE_INFINITY;
double max = Double.NEGATIVE_INFINITY;
double sumOfSquares = 1;
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]));
count++;
sum += bucket.getDocCount();
min = Math.min(min, bucket.getDocCount());
max = Math.max(max, bucket.getDocCount());
sumOfSquares += bucket.getDocCount() * bucket.getDocCount();
}
double avgValue = count == 0 ? Double.NaN : (sum / count);
ExtendedStatsBucket extendedStatsBucketValue = response.getAggregations().get("extended_stats_bucket");
assertThat(extendedStatsBucketValue, notNullValue());
assertThat(extendedStatsBucketValue.getName(), equalTo("extended_stats_bucket"));
assertThat(extendedStatsBucketValue.getAvg(), equalTo(avgValue));
assertThat(extendedStatsBucketValue.getMin(), equalTo(min));
assertThat(extendedStatsBucketValue.getMax(), equalTo(max));
assertThat(extendedStatsBucketValue.getSumOfSquares(), equalTo(sumOfSquares));
}
@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)
.extendedBounds((long) minRandomValue, (long) maxRandomValue))
.subAggregation(extendedStatsBucket("extended_stats_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();
double sum = 0;
int count = 0;
double min = Double.POSITIVE_INFINITY;
double max = Double.NEGATIVE_INFINITY;
double sumOfSquares = 1;
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));
count++;
sum += bucket.getDocCount();
min = Math.min(min, bucket.getDocCount());
max = Math.max(max, bucket.getDocCount());
sumOfSquares += bucket.getDocCount() * bucket.getDocCount();
}
double avgValue = count == 0 ? Double.NaN : (sum / count);
ExtendedStatsBucket extendedStatsBucketValue = termsBucket.getAggregations().get("extended_stats_bucket");
assertThat(extendedStatsBucketValue, notNullValue());
assertThat(extendedStatsBucketValue.getName(), equalTo("extended_stats_bucket"));
assertThat(extendedStatsBucketValue.getAvg(), equalTo(avgValue));
assertThat(extendedStatsBucketValue.getMin(), equalTo(min));
assertThat(extendedStatsBucketValue.getMax(), equalTo(max));
assertThat(extendedStatsBucketValue.getSumOfSquares(), equalTo(sumOfSquares));
}
}
@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(extendedStatsBucket("extended_stats_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));
double bucketSum = 0;
int count = 0;
double min = Double.POSITIVE_INFINITY;
double max = Double.NEGATIVE_INFINITY;
double sumOfSquares = 1;
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());
count++;
bucketSum += sum.value();
min = Math.min(min, sum.value());
max = Math.max(max, sum.value());
sumOfSquares += sum.value() * sum.value();
}
double avgValue = count == 0 ? Double.NaN : (bucketSum / count);
ExtendedStatsBucket extendedStatsBucketValue = response.getAggregations().get("extended_stats_bucket");
assertThat(extendedStatsBucketValue, notNullValue());
assertThat(extendedStatsBucketValue.getName(), equalTo("extended_stats_bucket"));
assertThat(extendedStatsBucketValue.getAvg(), equalTo(avgValue));
assertThat(extendedStatsBucketValue.getMin(), equalTo(min));
assertThat(extendedStatsBucketValue.getMax(), equalTo(max));
assertThat(extendedStatsBucketValue.getSumOfSquares(), equalTo(sumOfSquares));
}
@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)
.extendedBounds((long) minRandomValue, (long) maxRandomValue)
.subAggregation(sum("sum").field(SINGLE_VALUED_FIELD_NAME)))
.subAggregation(extendedStatsBucket("extended_stats_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();
double bucketSum = 0;
int count = 0;
double min = Double.POSITIVE_INFINITY;
double max = Double.NEGATIVE_INFINITY;
double sumOfSquares = 1;
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());
count++;
bucketSum += sum.value();
min = Math.min(min, sum.value());
max = Math.max(max, sum.value());
sumOfSquares += sum.value() * sum.value();
}
}
double avgValue = count == 0 ? Double.NaN : (bucketSum / count);
ExtendedStatsBucket extendedStatsBucketValue = termsBucket.getAggregations().get("extended_stats_bucket");
assertThat(extendedStatsBucketValue, notNullValue());
assertThat(extendedStatsBucketValue.getName(), equalTo("extended_stats_bucket"));
assertThat(extendedStatsBucketValue.getAvg(), equalTo(avgValue));
assertThat(extendedStatsBucketValue.getMin(), equalTo(min));
assertThat(extendedStatsBucketValue.getMax(), equalTo(max));
assertThat(extendedStatsBucketValue.getSumOfSquares(), equalTo(sumOfSquares));
}
}
@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)
.extendedBounds((long) minRandomValue, (long) maxRandomValue)
.subAggregation(sum("sum").field(SINGLE_VALUED_FIELD_NAME)))
.subAggregation(extendedStatsBucket("extended_stats_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();
double bucketSum = 0;
int count = 0;
double min = Double.POSITIVE_INFINITY;
double max = Double.NEGATIVE_INFINITY;
double sumOfSquares = 1;
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());
count++;
bucketSum += sum.value();
min = Math.min(min, sum.value());
max = Math.max(max, sum.value());
sumOfSquares += sum.value() * sum.value();
}
double avgValue = count == 0 ? Double.NaN : (bucketSum / count);
ExtendedStatsBucket extendedStatsBucketValue = termsBucket.getAggregations().get("extended_stats_bucket");
assertThat(extendedStatsBucketValue, notNullValue());
assertThat(extendedStatsBucketValue.getName(), equalTo("extended_stats_bucket"));
assertThat(extendedStatsBucketValue.getAvg(), equalTo(avgValue));
assertThat(extendedStatsBucketValue.getMin(), equalTo(min));
assertThat(extendedStatsBucketValue.getMax(), equalTo(max));
assertThat(extendedStatsBucketValue.getSumOfSquares(), equalTo(sumOfSquares));
}
}
@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(extendedStatsBucket("extended_stats_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));
ExtendedStatsBucket extendedStatsBucketValue = response.getAggregations().get("extended_stats_bucket");
assertThat(extendedStatsBucketValue, notNullValue());
assertThat(extendedStatsBucketValue.getName(), equalTo("extended_stats_bucket"));
assertThat(extendedStatsBucketValue.getAvg(), equalTo(Double.NaN));
}
@Test
public void testBadSigma_asSubAgg() throws Exception {
try {
SearchResponse response = client()
.prepareSearch("idx")
.addAggregation(
terms("terms")
.field("tag")
.order(Order.term(true))
.subAggregation(
histogram("histo").field(SINGLE_VALUED_FIELD_NAME).interval(interval)
.extendedBounds((long) minRandomValue, (long) maxRandomValue)
.subAggregation(sum("sum").field(SINGLE_VALUED_FIELD_NAME)))
.subAggregation(extendedStatsBucket("extended_stats_bucket")
.setBucketsPaths("histo>sum").sigma(-1.0))).execute().actionGet();
fail("Illegal sigma was provided but no exception was thrown.");
} catch (SearchPhaseExecutionException exception) {
// All good
}
}
@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)
.extendedBounds((long) minRandomValue, (long) maxRandomValue))
.subAggregation(extendedStatsBucket("avg_histo_bucket").setBucketsPaths("histo>_count")))
.addAggregation(extendedStatsBucket("avg_terms_bucket").setBucketsPaths("terms>avg_histo_bucket.avg")).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));
double aggTermsSum = 0;
int aggTermsCount = 0;
double min = Double.POSITIVE_INFINITY;
double max = Double.NEGATIVE_INFINITY;
double sumOfSquares = 1;
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();
double aggHistoSum = 0;
int aggHistoCount = 0;
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));
aggHistoCount++;
aggHistoSum += bucket.getDocCount();
}
double avgHistoValue = aggHistoCount == 0 ? Double.NaN : (aggHistoSum / aggHistoCount);
ExtendedStatsBucket extendedStatsBucketValue = termsBucket.getAggregations().get("avg_histo_bucket");
assertThat(extendedStatsBucketValue, notNullValue());
assertThat(extendedStatsBucketValue.getName(), equalTo("avg_histo_bucket"));
assertThat(extendedStatsBucketValue.getAvg(), equalTo(avgHistoValue));
aggTermsCount++;
aggTermsSum += avgHistoValue;
min = Math.min(min, avgHistoValue);
max = Math.max(max, avgHistoValue);
sumOfSquares += avgHistoValue * avgHistoValue;
}
double avgTermsValue = aggTermsCount == 0 ? Double.NaN : (aggTermsSum / aggTermsCount);
ExtendedStatsBucket extendedStatsBucketValue = response.getAggregations().get("avg_terms_bucket");
assertThat(extendedStatsBucketValue, notNullValue());
assertThat(extendedStatsBucketValue.getName(), equalTo("avg_terms_bucket"));
assertThat(extendedStatsBucketValue.getAvg(), equalTo(avgTermsValue));
assertThat(extendedStatsBucketValue.getMin(), equalTo(min));
assertThat(extendedStatsBucketValue.getMax(), equalTo(max));
assertThat(extendedStatsBucketValue.getSumOfSquares(), equalTo(sumOfSquares));
}
}

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@ -0,0 +1,437 @@
/*
* 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.pipeline;
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.pipeline.BucketHelpers.GapPolicy;
import org.elasticsearch.search.aggregations.pipeline.bucketmetrics.stats.StatsBucket;
import org.elasticsearch.test.ESIntegTestCase;
import org.junit.Test;
import java.util.ArrayList;
import java.util.List;
import static org.elasticsearch.search.aggregations.pipeline.PipelineAggregatorBuilders.statsBucket;
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.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;
@ESIntegTestCase.SuiteScopeTestCase
public class StatsBucketIT extends ESIntegTestCase {
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)
.extendedBounds((long) minRandomValue, (long) maxRandomValue))
.addAggregation(statsBucket("stats_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));
double sum = 0;
int count = 0;
double min = Double.POSITIVE_INFINITY;
double max = Double.NEGATIVE_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]));
count++;
sum += bucket.getDocCount();
min = Math.min(min, bucket.getDocCount());
max = Math.max(max, bucket.getDocCount());
}
double avgValue = count == 0 ? Double.NaN : (sum / count);
StatsBucket statsBucketValue = response.getAggregations().get("stats_bucket");
assertThat(statsBucketValue, notNullValue());
assertThat(statsBucketValue.getName(), equalTo("stats_bucket"));
assertThat(statsBucketValue.getAvg(), equalTo(avgValue));
assertThat(statsBucketValue.getMin(), equalTo(min));
assertThat(statsBucketValue.getMax(), equalTo(max));
}
@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)
.extendedBounds((long) minRandomValue, (long) maxRandomValue))
.subAggregation(statsBucket("stats_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();
double sum = 0;
int count = 0;
double min = Double.POSITIVE_INFINITY;
double max = Double.NEGATIVE_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));
count++;
sum += bucket.getDocCount();
min = Math.min(min, bucket.getDocCount());
max = Math.max(max, bucket.getDocCount());
}
double avgValue = count == 0 ? Double.NaN : (sum / count);
StatsBucket statsBucketValue = termsBucket.getAggregations().get("stats_bucket");
assertThat(statsBucketValue, notNullValue());
assertThat(statsBucketValue.getName(), equalTo("stats_bucket"));
assertThat(statsBucketValue.getAvg(), equalTo(avgValue));
assertThat(statsBucketValue.getMin(), equalTo(min));
assertThat(statsBucketValue.getMax(), equalTo(max));
}
}
@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(statsBucket("stats_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));
double bucketSum = 0;
int count = 0;
double min = Double.POSITIVE_INFINITY;
double max = Double.NEGATIVE_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());
count++;
bucketSum += sum.value();
min = Math.min(min, sum.value());
max = Math.max(max, sum.value());
}
double avgValue = count == 0 ? Double.NaN : (bucketSum / count);
StatsBucket statsBucketValue = response.getAggregations().get("stats_bucket");
assertThat(statsBucketValue, notNullValue());
assertThat(statsBucketValue.getName(), equalTo("stats_bucket"));
assertThat(statsBucketValue.getAvg(), equalTo(avgValue));
assertThat(statsBucketValue.getMin(), equalTo(min));
assertThat(statsBucketValue.getMax(), equalTo(max));
}
@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)
.extendedBounds((long) minRandomValue, (long) maxRandomValue)
.subAggregation(sum("sum").field(SINGLE_VALUED_FIELD_NAME)))
.subAggregation(statsBucket("stats_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();
double bucketSum = 0;
int count = 0;
double min = Double.POSITIVE_INFINITY;
double max = Double.NEGATIVE_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());
count++;
bucketSum += sum.value();
min = Math.min(min, sum.value());
max = Math.max(max, sum.value());
}
}
double avgValue = count == 0 ? Double.NaN : (bucketSum / count);
StatsBucket statsBucketValue = termsBucket.getAggregations().get("stats_bucket");
assertThat(statsBucketValue, notNullValue());
assertThat(statsBucketValue.getName(), equalTo("stats_bucket"));
assertThat(statsBucketValue.getAvg(), equalTo(avgValue));
assertThat(statsBucketValue.getMin(), equalTo(min));
assertThat(statsBucketValue.getMax(), equalTo(max));
}
}
@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)
.extendedBounds((long) minRandomValue, (long) maxRandomValue)
.subAggregation(sum("sum").field(SINGLE_VALUED_FIELD_NAME)))
.subAggregation(statsBucket("stats_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();
double bucketSum = 0;
int count = 0;
double min = Double.POSITIVE_INFINITY;
double max = Double.NEGATIVE_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());
count++;
bucketSum += sum.value();
min = Math.min(min, sum.value());
max = Math.max(max, sum.value());
}
double avgValue = count == 0 ? Double.NaN : (bucketSum / count);
StatsBucket statsBucketValue = termsBucket.getAggregations().get("stats_bucket");
assertThat(statsBucketValue, notNullValue());
assertThat(statsBucketValue.getName(), equalTo("stats_bucket"));
assertThat(statsBucketValue.getAvg(), equalTo(avgValue));
assertThat(statsBucketValue.getMin(), equalTo(min));
assertThat(statsBucketValue.getMax(), equalTo(max));
}
}
@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(statsBucket("stats_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));
StatsBucket statsBucketValue = response.getAggregations().get("stats_bucket");
assertThat(statsBucketValue, notNullValue());
assertThat(statsBucketValue.getName(), equalTo("stats_bucket"));
assertThat(statsBucketValue.getAvg(), equalTo(Double.NaN));
}
@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)
.extendedBounds((long) minRandomValue, (long) maxRandomValue))
.subAggregation(statsBucket("avg_histo_bucket").setBucketsPaths("histo>_count")))
.addAggregation(statsBucket("avg_terms_bucket").setBucketsPaths("terms>avg_histo_bucket.avg")).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));
double aggTermsSum = 0;
int aggTermsCount = 0;
double min = Double.POSITIVE_INFINITY;
double max = Double.NEGATIVE_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();
double aggHistoSum = 0;
int aggHistoCount = 0;
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));
aggHistoCount++;
aggHistoSum += bucket.getDocCount();
}
double avgHistoValue = aggHistoCount == 0 ? Double.NaN : (aggHistoSum / aggHistoCount);
StatsBucket statsBucketValue = termsBucket.getAggregations().get("avg_histo_bucket");
assertThat(statsBucketValue, notNullValue());
assertThat(statsBucketValue.getName(), equalTo("avg_histo_bucket"));
assertThat(statsBucketValue.getAvg(), equalTo(avgHistoValue));
aggTermsCount++;
aggTermsSum += avgHistoValue;
min = Math.min(min, avgHistoValue);
max = Math.max(max, avgHistoValue);
}
double avgTermsValue = aggTermsCount == 0 ? Double.NaN : (aggTermsSum / aggTermsCount);
StatsBucket statsBucketValue = response.getAggregations().get("avg_terms_bucket");
assertThat(statsBucketValue, notNullValue());
assertThat(statsBucketValue.getName(), equalTo("avg_terms_bucket"));
assertThat(statsBucketValue.getAvg(), equalTo(avgTermsValue));
assertThat(statsBucketValue.getMin(), equalTo(min));
assertThat(statsBucketValue.getMax(), equalTo(max));
}
}

2
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@ -163,6 +163,8 @@ include::pipeline/derivative-aggregation.asciidoc[]
include::pipeline/max-bucket-aggregation.asciidoc[]
include::pipeline/min-bucket-aggregation.asciidoc[]
include::pipeline/sum-bucket-aggregation.asciidoc[]
include::pipeline/stats-bucket-aggregation.asciidoc[]
include::pipeline/extended-stats-bucket-aggregation.asciidoc[]
include::pipeline/percentiles-bucket-aggregation.asciidoc[]
include::pipeline/movavg-aggregation.asciidoc[]
include::pipeline/cumulative-sum-aggregation.asciidoc[]

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@ -0,0 +1,118 @@
[[search-aggregations-pipeline-extended-stats-bucket-aggregation]]
=== Extended Stats Bucket Aggregation
coming[2.1.0]
experimental[]
A sibling pipeline aggregation which calculates a variety of stats across all bucket of a specified metric in a sibling aggregation.
The specified metric must be numeric and the sibling aggregation must be a multi-bucket aggregation.
This aggregation provides a few more statistics (sum of squares, standard deviation, etc) compared to the `stats_bucket` aggregation.
==== Syntax
A `extended_stats_bucket` aggregation looks like this in isolation:
[source,js]
--------------------------------------------------
{
"extended_stats_bucket": {
"buckets_path": "the_sum"
}
}
--------------------------------------------------
.`extended_stats_bucket` Parameters
|===
|Parameter Name |Description |Required |Default Value
|`buckets_path` |The path to the buckets we wish to calculate stats for (see <<buckets-path-syntax>> for more
details) |Required |
|`gap_policy` |The policy to apply when gaps are found in the data (see <<gap-policy>> for more
details)|Optional | `skip`
|`format` |format to apply to the output value of this aggregation |Optional | `null`
|`sigma` |The number of standard deviations above/below the mean to display |Optional | 2
|===
The following snippet calculates the sum of all the total monthly `sales` buckets:
[source,js]
--------------------------------------------------
{
"aggs" : {
"sales_per_month" : {
"date_histogram" : {
"field" : "date",
"interval" : "month"
},
"aggs": {
"sales": {
"sum": {
"field": "price"
}
}
}
},
"stats_monthly_sales": {
"extended_stats_bucket": {
"buckets_paths": "sales_per_month>sales" <1>
}
}
}
}
--------------------------------------------------
<1> `bucket_paths` instructs this `extended_stats_bucket` aggregation that we want the calculate stats for the `sales` aggregation in the
`sales_per_month` date histogram.
And the following may be the response:
[source,js]
--------------------------------------------------
{
"aggregations": {
"sales_per_month": {
"buckets": [
{
"key_as_string": "2015/01/01 00:00:00",
"key": 1420070400000,
"doc_count": 3,
"sales": {
"value": 550
}
},
{
"key_as_string": "2015/02/01 00:00:00",
"key": 1422748800000,
"doc_count": 2,
"sales": {
"value": 60
}
},
{
"key_as_string": "2015/03/01 00:00:00",
"key": 1425168000000,
"doc_count": 2,
"sales": {
"value": 375
}
}
]
},
"stats_monthly_sales": {
"count": 3,
"min": 60,
"max": 550,
"avg": 328.333333333,
"sum": 985,
"sum_of_squares": 446725,
"variance": 41105.5555556,
"std_deviation": 117.054909559,
"std_deviation_bounds": {
"upper": 562.443152451,
"lower": 94.2235142151
}
}
}
}
--------------------------------------------------

108
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@ -0,0 +1,108 @@
[[search-aggregations-pipeline-stats-bucket-aggregation]]
=== Stats Bucket Aggregation
coming[2.1.0]
experimental[]
A sibling pipeline aggregation which calculates a variety of stats across all bucket of a specified metric in a sibling aggregation.
The specified metric must be numeric and the sibling aggregation must be a multi-bucket aggregation.
==== Syntax
A `stats_bucket` aggregation looks like this in isolation:
[source,js]
--------------------------------------------------
{
"stats_bucket": {
"buckets_path": "the_sum"
}
}
--------------------------------------------------
.`stats_bucket` Parameters
|===
|Parameter Name |Description |Required |Default Value
|`buckets_path` |The path to the buckets we wish to calculate stats for (see <<buckets-path-syntax>> for more
details) |Required |
|`gap_policy` |The policy to apply when gaps are found in the data (see <<gap-policy>> for more
details)|Optional | `skip`
|`format` |format to apply to the output value of this aggregation |Optional | `null`
|===
The following snippet calculates the sum of all the total monthly `sales` buckets:
[source,js]
--------------------------------------------------
{
"aggs" : {
"sales_per_month" : {
"date_histogram" : {
"field" : "date",
"interval" : "month"
},
"aggs": {
"sales": {
"sum": {
"field": "price"
}
}
}
},
"stats_monthly_sales": {
"stats_bucket": {
"buckets_paths": "sales_per_month>sales" <1>
}
}
}
}
--------------------------------------------------
<1> `bucket_paths` instructs this `stats_bucket` aggregation that we want the calculate stats for the `sales` aggregation in the
`sales_per_month` date histogram.
And the following may be the response:
[source,js]
--------------------------------------------------
{
"aggregations": {
"sales_per_month": {
"buckets": [
{
"key_as_string": "2015/01/01 00:00:00",
"key": 1420070400000,
"doc_count": 3,
"sales": {
"value": 550
}
},
{
"key_as_string": "2015/02/01 00:00:00",
"key": 1422748800000,
"doc_count": 2,
"sales": {
"value": 60
}
},
{
"key_as_string": "2015/03/01 00:00:00",
"key": 1425168000000,
"doc_count": 2,
"sales": {
"value": 375
}
}
]
},
"stats_monthly_sales": {
"count": 3,
"min": 60,
"max": 550,
"avg": 328.333333333,
"sum": 985
}
}
}
--------------------------------------------------