Skip to content
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
Original file line number Diff line number Diff line change
@@ -0,0 +1,61 @@
/*
* 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.metrics.percentiles;

import org.elasticsearch.search.DocValueFormat;
import org.elasticsearch.search.aggregations.InternalAggregation;
import org.elasticsearch.search.aggregations.InternalAggregationTestCase;
import org.elasticsearch.search.aggregations.pipeline.PipelineAggregator;
import org.junit.Before;

import java.util.List;
import java.util.Map;

public abstract class InternalPercentilesTestCase<T extends InternalAggregation> extends InternalAggregationTestCase<T> {

private double[] percents;

@Before
public void init() {
percents = randomPercents();
}

@Override
protected T createTestInstance(String name, List<PipelineAggregator> pipelineAggregators, Map<String, Object> metaData) {
int numValues = randomInt(100);
double[] values = new double[numValues];
for (int i = 0; i < numValues; ++i) {
values[i] = randomDouble();
}
return createTestInstance(name, pipelineAggregators, metaData, randomBoolean(), DocValueFormat.RAW, percents, values);
}

protected abstract T createTestInstance(String name, List<PipelineAggregator> pipelineAggregators, Map<String, Object> metaData,
boolean keyed, DocValueFormat format, double[] percents, double[] values);

private static double[] randomPercents() {
List<Double> randomCdfValues = randomSubsetOf(randomIntBetween(1, 7), 0.01d, 0.05d, 0.25d, 0.50d, 0.75d, 0.95d, 0.99d);
double[] percents = new double[randomCdfValues.size()];
for (int i = 0; i < randomCdfValues.size(); i++) {
percents[i] = randomCdfValues.get(i);
}
return percents;
}
}
Original file line number Diff line number Diff line change
@@ -0,0 +1,60 @@
/*
* 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.metrics.percentiles.hdr;

import org.HdrHistogram.DoubleHistogram;
import org.elasticsearch.common.io.stream.Writeable;
import org.elasticsearch.search.DocValueFormat;
import org.elasticsearch.search.aggregations.metrics.percentiles.InternalPercentilesTestCase;
import org.elasticsearch.search.aggregations.pipeline.PipelineAggregator;

import java.util.Arrays;
import java.util.List;
import java.util.Map;

public class InternalHDRPercentilesTests extends InternalPercentilesTestCase<InternalHDRPercentiles> {

@Override
protected InternalHDRPercentiles createTestInstance(String name,
List<PipelineAggregator> pipelineAggregators,
Map<String, Object> metaData,
boolean keyed, DocValueFormat format, double[] percents, double[] values) {

final DoubleHistogram state = new DoubleHistogram(3);
Arrays.stream(values).forEach(state::recordValue);

return new InternalHDRPercentiles(name, percents, state, keyed, format, pipelineAggregators, metaData);
}

@Override
protected void assertReduced(InternalHDRPercentiles reduced, List<InternalHDRPercentiles> inputs) {
// it is hard to check the values due to the inaccuracy of the algorithm
long totalCount = 0;
for (InternalHDRPercentiles ranks : inputs) {
totalCount += ranks.state.getTotalCount();
}
assertEquals(totalCount, reduced.state.getTotalCount());
}

@Override
protected Writeable.Reader<InternalHDRPercentiles> instanceReader() {
return InternalHDRPercentiles::new;
}
}
Original file line number Diff line number Diff line change
Expand Up @@ -21,29 +21,24 @@

import org.elasticsearch.common.io.stream.Writeable;
import org.elasticsearch.search.DocValueFormat;
import org.elasticsearch.search.aggregations.InternalAggregationTestCase;
import org.elasticsearch.search.aggregations.metrics.percentiles.InternalPercentilesTestCase;
import org.elasticsearch.search.aggregations.pipeline.PipelineAggregator;

import java.util.Arrays;
import java.util.List;
import java.util.Map;

public class InternalTDigestPercentilesTests extends InternalAggregationTestCase<InternalTDigestPercentiles> {

private final double[] percents = randomPercents();
public class InternalTDigestPercentilesTests extends InternalPercentilesTestCase<InternalTDigestPercentiles> {

@Override
protected InternalTDigestPercentiles createTestInstance(String name,
List<PipelineAggregator> pipelineAggregators,
Map<String, Object> metaData) {
boolean keyed = randomBoolean();
DocValueFormat format = DocValueFormat.RAW;
TDigestState state = new TDigestState(100);
Map<String, Object> metaData,
boolean keyed, DocValueFormat format, double[] percents, double[] values) {
final TDigestState state = new TDigestState(100);
Arrays.stream(values).forEach(state::add);

int numValues = randomInt(10);
for (int i = 0; i < numValues; ++i) {
state.add(randomDouble() * 100);
}
assertEquals(state.centroidCount(), numValues);
assertEquals(state.centroidCount(), values.length);
return new InternalTDigestPercentiles(name, percents, state, keyed, format, pipelineAggregators, metaData);
}

Expand All @@ -69,13 +64,4 @@ protected void assertReduced(InternalTDigestPercentiles reduced, List<InternalTD
protected Writeable.Reader<InternalTDigestPercentiles> instanceReader() {
return InternalTDigestPercentiles::new;
}

private static double[] randomPercents() {
List<Double> randomCdfValues = randomSubsetOf(randomIntBetween(1, 7), 0.01d, 0.05d, 0.25d, 0.50d, 0.75d, 0.95d, 0.99d);
double[] percents = new double[randomCdfValues.size()];
for (int i = 0; i < randomCdfValues.size(); i++) {
percents[i] = randomCdfValues.get(i);
}
return percents;
}
}