package org.elasticsearch.search.aggregations.pipeline;
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* 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
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import org.elasticsearch.ElasticsearchException;
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.terms.Terms;
import org.elasticsearch.search.aggregations.metrics.percentiles.Percentile;
import org.elasticsearch.search.aggregations.metrics.sum.Sum;
import org.elasticsearch.search.aggregations.pipeline.bucketmetrics.percentile.PercentilesBucket;
import org.elasticsearch.test.ESIntegTestCase;
import org.junit.Test;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Collections;
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.pipeline.PipelineAggregatorBuilders.percentilesBucket;
import static org.elasticsearch.test.hamcrest.ElasticsearchAssertions.assertAcked;
import static org.elasticsearch.test.hamcrest.ElasticsearchAssertions.assertSearchResponse;
import static org.hamcrest.Matchers.containsString;
import static org.hamcrest.Matchers.equalTo;
import static org.hamcrest.Matchers.greaterThan;
import static org.hamcrest.core.IsNull.notNullValue;
@ESIntegTestCase.SuiteScopeTestCase
public class PercentilesBucketIT extends ESIntegTestCase {
private static final String SINGLE_VALUED_FIELD_NAME = "l_value";
private static final Double[] PERCENTS = {1.0, 25.0, 50.0, 75.0, 99.0};
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(percentilesBucket("percentiles_bucket")
.setBucketsPaths("histo>_count")
.percents(PERCENTS)).execute().actionGet();
assertSearchResponse(response);
Histogram histo = response.getAggregations().get("histo");
assertThat(histo, notNullValue());
assertThat(histo.getName(), equalTo("histo"));
List<? extends Histogram.Bucket> buckets = histo.getBuckets();
assertThat(buckets.size(), equalTo(numValueBuckets));
double[] values = new double[numValueBuckets];
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]));
values[i] = bucket.getDocCount();
}
Arrays.sort(values);
PercentilesBucket percentilesBucketValue = response.getAggregations().get("percentiles_bucket");
assertThat(percentilesBucketValue, notNullValue());
assertThat(percentilesBucketValue.getName(), equalTo("percentiles_bucket"));
for (Double p : PERCENTS) {
double expected = values[(int)((p / 100) * values.length)];
assertThat(percentilesBucketValue.percentile(p), equalTo(expected));
}
}
@Test
public void testDocCount_asSubAgg() throws Exception {
SearchResponse response = client()
.prepareSearch("idx")
.addAggregation(
terms("terms")
.field("tag")
.order(Terms.Order.term(true))
.subAggregation(
histogram("histo").field(SINGLE_VALUED_FIELD_NAME).interval(interval)
.extendedBounds((long) minRandomValue, (long) maxRandomValue))
.subAggregation(percentilesBucket("percentiles_bucket")
.setBucketsPaths("histo>_count")
.percents(PERCENTS))).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 Histogram.Bucket> buckets = histo.getBuckets();
double[] values = new double[numValueBuckets];
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));
values[j] = bucket.getDocCount();
}
Arrays.sort(values);
PercentilesBucket percentilesBucketValue = termsBucket.getAggregations().get("percentiles_bucket");
assertThat(percentilesBucketValue, notNullValue());
assertThat(percentilesBucketValue.getName(), equalTo("percentiles_bucket"));
for (Double p : PERCENTS) {
double expected = values[(int)((p / 100) * values.length)];
assertThat(percentilesBucketValue.percentile(p), equalTo(expected));
}
}
}
@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(percentilesBucket("percentiles_bucket")
.setBucketsPaths("terms>sum")
.percents(PERCENTS)).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[] values = new double[interval];
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());
values[i] = sum.value();
}
Arrays.sort(values);
PercentilesBucket percentilesBucketValue = response.getAggregations().get("percentiles_bucket");
assertThat(percentilesBucketValue, notNullValue());
assertThat(percentilesBucketValue.getName(), equalTo("percentiles_bucket"));
for (Double p : PERCENTS) {
double expected = values[(int)((p / 100) * values.length)];
assertThat(percentilesBucketValue.percentile(p), equalTo(expected));
}
}
@Test
public void testMetric_topLevelDefaultPercents() throws Exception {
SearchResponse response = client()
.prepareSearch("idx")
.addAggregation(terms("terms").field("tag").subAggregation(sum("sum").field(SINGLE_VALUED_FIELD_NAME)))
.addAggregation(percentilesBucket("percentiles_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[] values = new double[interval];
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());
values[i] = sum.value();
}
Arrays.sort(values);
PercentilesBucket percentilesBucketValue = response.getAggregations().get("percentiles_bucket");
assertThat(percentilesBucketValue, notNullValue());
assertThat(percentilesBucketValue.getName(), equalTo("percentiles_bucket"));
for (Percentile p : percentilesBucketValue) {
double expected = values[(int)((p.getPercent() / 100) * values.length)];
assertThat(percentilesBucketValue.percentile(p.getPercent()), equalTo(expected));
assertThat(p.getValue(), equalTo(expected));
}
}
@Test
public void testMetric_asSubAgg() throws Exception {
SearchResponse response = client()
.prepareSearch("idx")
.addAggregation(
terms("terms")
.field("tag")
.order(Terms.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(percentilesBucket("percentiles_bucket")
.setBucketsPaths("histo>sum")
.percents(PERCENTS))).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 Histogram.Bucket> buckets = histo.getBuckets();
List<Double> values = new ArrayList<>(numValueBuckets);
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());
values.add(sum.value());
}
}
Collections.sort(values);
PercentilesBucket percentilesBucketValue = termsBucket.getAggregations().get("percentiles_bucket");
assertThat(percentilesBucketValue, notNullValue());
assertThat(percentilesBucketValue.getName(), equalTo("percentiles_bucket"));
for (Double p : PERCENTS) {
double expected = values.get((int) ((p / 100) * values.size()));
assertThat(percentilesBucketValue.percentile(p), equalTo(expected));
}
}
}
@Test
public void testMetric_asSubAggWithInsertZeros() throws Exception {
SearchResponse response = client()
.prepareSearch("idx")
.addAggregation(
terms("terms")
.field("tag")
.order(Terms.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(percentilesBucket("percentiles_bucket")
.setBucketsPaths("histo>sum")
.gapPolicy(BucketHelpers.GapPolicy.INSERT_ZEROS)
.percents(PERCENTS)))
.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 Histogram.Bucket> buckets = histo.getBuckets();
double[] values = new double[numValueBuckets];
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());
values[j] = sum.value();
}
Arrays.sort(values);
PercentilesBucket percentilesBucketValue = termsBucket.getAggregations().get("percentiles_bucket");
assertThat(percentilesBucketValue, notNullValue());
assertThat(percentilesBucketValue.getName(), equalTo("percentiles_bucket"));
for (Double p : PERCENTS) {
double expected = values[(int)((p / 100) * values.length)];
assertThat(percentilesBucketValue.percentile(p), equalTo(expected));
}
}
}
@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(percentilesBucket("percentiles_bucket")
.setBucketsPaths("terms>sum")
.percents(PERCENTS)).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));
PercentilesBucket percentilesBucketValue = response.getAggregations().get("percentiles_bucket");
assertThat(percentilesBucketValue, notNullValue());
assertThat(percentilesBucketValue.getName(), equalTo("percentiles_bucket"));
for (Double p : PERCENTS) {
assertThat(percentilesBucketValue.percentile(p), equalTo(Double.NaN));
}
}
@Test
public void testWrongPercents() throws Exception {
SearchResponse response = client().prepareSearch("idx")
.addAggregation(terms("terms").field("tag").exclude("tag.*").subAggregation(sum("sum").field(SINGLE_VALUED_FIELD_NAME)))
.addAggregation(percentilesBucket("percentiles_bucket")
.setBucketsPaths("terms>sum")
.percents(PERCENTS)).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));
PercentilesBucket percentilesBucketValue = response.getAggregations().get("percentiles_bucket");
assertThat(percentilesBucketValue, notNullValue());
assertThat(percentilesBucketValue.getName(), equalTo("percentiles_bucket"));
try {
percentilesBucketValue.percentile(2.0);
fail("2.0 was not a valid percent, should have thrown exception");
} catch (IllegalArgumentException exception) {
// All good
}
}
@Test
public void testBadPercents() throws Exception {
Double[] badPercents = {-1.0, 110.0};
try {
client().prepareSearch("idx")
.addAggregation(terms("terms").field("tag").subAggregation(sum("sum").field(SINGLE_VALUED_FIELD_NAME)))
.addAggregation(percentilesBucket("percentiles_bucket")
.setBucketsPaths("terms>sum")
.percents(badPercents)).execute().actionGet();
fail("Illegal percent's were provided but no exception was thrown.");
} catch (SearchPhaseExecutionException exception) {
ElasticsearchException[] rootCauses = exception.guessRootCauses();
assertThat(rootCauses.length, equalTo(1));
ElasticsearchException rootCause = rootCauses[0];
assertThat(rootCause.getMessage(), containsString("must only contain non-null doubles from 0.0-100.0 inclusive"));
}
}
@Test
public void testBadPercents_asSubAgg() throws Exception {
Double[] badPercents = {-1.0, 110.0};
try {
client()
.prepareSearch("idx")
.addAggregation(
terms("terms")
.field("tag")
.order(Terms.Order.term(true))
.subAggregation(
histogram("histo").field(SINGLE_VALUED_FIELD_NAME).interval(interval)
.extendedBounds((long) minRandomValue, (long) maxRandomValue))
.subAggregation(percentilesBucket("percentiles_bucket")
.setBucketsPaths("histo>_count")
.percents(badPercents))).execute().actionGet();
fail("Illegal percent's were provided but no exception was thrown.");
} catch (SearchPhaseExecutionException exception) {
ElasticsearchException[] rootCauses = exception.guessRootCauses();
assertThat(rootCauses.length, equalTo(1));
ElasticsearchException rootCause = rootCauses[0];
assertThat(rootCause.getMessage(), containsString("must only contain non-null doubles from 0.0-100.0 inclusive"));
}
}
@Test
public void testNested() throws Exception {
SearchResponse response = client()
.prepareSearch("idx")
.addAggregation(
terms("terms")
.field("tag")
.order(Terms.Order.term(true))
.subAggregation(
histogram("histo").field(SINGLE_VALUED_FIELD_NAME).interval(interval)
.extendedBounds((long) minRandomValue, (long) maxRandomValue))
.subAggregation(percentilesBucket("percentile_histo_bucket").setBucketsPaths("histo>_count")))
.addAggregation(percentilesBucket("percentile_terms_bucket")
.setBucketsPaths("terms>percentile_histo_bucket.50")
.percents(PERCENTS)).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[] values = new double[termsBuckets.size()];
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 Histogram.Bucket> buckets = histo.getBuckets();
double[] innerValues = new double[numValueBuckets];
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));
innerValues[j] = bucket.getDocCount();
}
Arrays.sort(innerValues);
PercentilesBucket percentilesBucketValue = termsBucket.getAggregations().get("percentile_histo_bucket");
assertThat(percentilesBucketValue, notNullValue());
assertThat(percentilesBucketValue.getName(), equalTo("percentile_histo_bucket"));
for (Double p : PERCENTS) {
double expected = innerValues[(int)((p / 100) * innerValues.length)];
assertThat(percentilesBucketValue.percentile(p), equalTo(expected));
}
values[i] = percentilesBucketValue.percentile(50.0);
}
Arrays.sort(values);
PercentilesBucket percentilesBucketValue = response.getAggregations().get("percentile_terms_bucket");
assertThat(percentilesBucketValue, notNullValue());
assertThat(percentilesBucketValue.getName(), equalTo("percentile_terms_bucket"));
for (Double p : PERCENTS) {
double expected = values[(int)((p / 100) * values.length)];
assertThat(percentilesBucketValue.percentile(p), equalTo(expected));
}
}
@Test
public void testNestedWithDecimal() throws Exception {
Double[] percent = {99.9};
SearchResponse response = client()
.prepareSearch("idx")
.addAggregation(
terms("terms")
.field("tag")
.order(Terms.Order.term(true))
.subAggregation(
histogram("histo").field(SINGLE_VALUED_FIELD_NAME).interval(interval)
.extendedBounds((long) minRandomValue, (long) maxRandomValue))
.subAggregation(percentilesBucket("percentile_histo_bucket")
.percents(percent)
.setBucketsPaths("histo>_count")))
.addAggregation(percentilesBucket("percentile_terms_bucket")
.setBucketsPaths("terms>percentile_histo_bucket[99.9]")
.percents(percent)).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[] values = new double[termsBuckets.size()];
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 Histogram.Bucket> buckets = histo.getBuckets();
double[] innerValues = new double[numValueBuckets];
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));
innerValues[j] = bucket.getDocCount();
}
Arrays.sort(innerValues);
PercentilesBucket percentilesBucketValue = termsBucket.getAggregations().get("percentile_histo_bucket");
assertThat(percentilesBucketValue, notNullValue());
assertThat(percentilesBucketValue.getName(), equalTo("percentile_histo_bucket"));
for (Double p : percent) {
double expected = innerValues[(int)((p / 100) * innerValues.length)];
assertThat(percentilesBucketValue.percentile(p), equalTo(expected));
}
values[i] = percentilesBucketValue.percentile(99.9);
}
Arrays.sort(values);
PercentilesBucket percentilesBucketValue = response.getAggregations().get("percentile_terms_bucket");
assertThat(percentilesBucketValue, notNullValue());
assertThat(percentilesBucketValue.getName(), equalTo("percentile_terms_bucket"));
for (Double p : percent) {
double expected = values[(int)((p / 100) * values.length)];
assertThat(percentilesBucketValue.percentile(p), equalTo(expected));
}
}
}