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diff --git a/core/src/test/java/org/elasticsearch/search/aggregations/metrics/percentiles/AbstractPercentilesTestCase.java b/core/src/test/java/org/elasticsearch/search/aggregations/metrics/percentiles/AbstractPercentilesTestCase.java
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+/*
+ * 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 com.carrotsearch.randomizedtesting.annotations.Repeat;
+import org.elasticsearch.common.xcontent.XContentType;
+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.io.IOException;
+import java.util.Iterator;
+import java.util.List;
+import java.util.Map;
+
+public abstract class AbstractPercentilesTestCase<T extends InternalAggregation & Iterable<Percentile>>
+ extends InternalAggregationTestCase<T> {
+
+ private double[] percents;
+ private boolean keyed;
+ private DocValueFormat docValueFormat;
+
+ @Before
+ public void init() {
+ percents = randomPercents();
+ keyed = randomBoolean();
+ docValueFormat = randomNumericDocValueFormat();
+ }
+
+ @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, keyed, docValueFormat, percents, values);
+ }
+
+ protected abstract T createTestInstance(String name, List<PipelineAggregator> pipelineAggregators, Map<String, Object> metaData,
+ boolean keyed, DocValueFormat format, double[] percents, double[] values);
+
+ protected abstract Class<? extends ParsedPercentiles> implementationClass();
+
+ @Repeat(iterations = 1000)
+ public void testPercentilesIterators() throws IOException {
+ final T aggregation = createTestInstance();
+ final Iterable<Percentile> parsedAggregation = parse(aggregation, randomFrom(XContentType.values()), randomBoolean(), false);
+
+ Iterator<Percentile> it = aggregation.iterator();
+ Iterator<Percentile> parsedIt = parsedAggregation.iterator();
+ while (it.hasNext()) {
+ assertEquals(it.next(), parsedIt.next());
+ }
+ }
+
+ 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;
+ }
+}