/* * 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.messy.tests; import org.elasticsearch.action.search.SearchResponse; import org.elasticsearch.common.logging.Loggers; import org.elasticsearch.common.util.CollectionUtils; import org.elasticsearch.plugins.Plugin; import org.elasticsearch.script.Script; import org.elasticsearch.script.ScriptService.ScriptType; import org.elasticsearch.script.groovy.GroovyPlugin; import org.elasticsearch.search.aggregations.bucket.filter.Filter; import org.elasticsearch.search.aggregations.bucket.global.Global; import org.elasticsearch.search.aggregations.bucket.histogram.Histogram; import org.elasticsearch.search.aggregations.bucket.histogram.Histogram.Order; import org.elasticsearch.search.aggregations.bucket.terms.Terms; import org.elasticsearch.search.aggregations.metrics.AbstractNumericTestCase; import org.elasticsearch.search.aggregations.metrics.percentiles.Percentile; import org.elasticsearch.search.aggregations.metrics.percentiles.Percentiles; import org.elasticsearch.search.aggregations.metrics.percentiles.PercentilesMethod; import org.elasticsearch.search.aggregations.metrics.percentiles.PercentilesBuilder; import org.junit.Test; import java.util.Arrays; import java.util.Collection; import java.util.HashMap; import java.util.List; import java.util.Map; import static org.elasticsearch.index.query.QueryBuilders.matchAllQuery; import static org.elasticsearch.search.aggregations.AggregationBuilders.global; import static org.elasticsearch.search.aggregations.AggregationBuilders.histogram; import static org.elasticsearch.search.aggregations.AggregationBuilders.percentiles; import static org.elasticsearch.index.query.QueryBuilders.termQuery; import static org.elasticsearch.search.aggregations.AggregationBuilders.filter; import static org.elasticsearch.search.aggregations.AggregationBuilders.terms; import static org.elasticsearch.test.hamcrest.ElasticsearchAssertions.assertHitCount; import static org.hamcrest.Matchers.*; /** * */ public class TDigestPercentilesTests extends AbstractNumericTestCase { @Override protected Collection<Class<? extends Plugin>> nodePlugins() { return pluginList(GroovyPlugin.class); } private static double[] randomPercentiles() { final int length = randomIntBetween(1, 20); final double[] percentiles = new double[length]; for (int i = 0; i < percentiles.length; ++i) { switch (randomInt(20)) { case 0: percentiles[i] = 0; break; case 1: percentiles[i] = 100; break; default: percentiles[i] = randomDouble() * 100; break; } } Arrays.sort(percentiles); Loggers.getLogger(TDigestPercentilesTests.class).info("Using percentiles={}", Arrays.toString(percentiles)); return percentiles; } private static PercentilesBuilder randomCompression(PercentilesBuilder builder) { if (randomBoolean()) { builder.compression(randomIntBetween(20, 120) + randomDouble()); } return builder; } private void assertConsistent(double[] pcts, Percentiles percentiles, long minValue, long maxValue) { final List<Percentile> percentileList = CollectionUtils.iterableAsArrayList(percentiles); assertEquals(pcts.length, percentileList.size()); for (int i = 0; i < pcts.length; ++i) { final Percentile percentile = percentileList.get(i); assertThat(percentile.getPercent(), equalTo(pcts[i])); double value = percentile.getValue(); assertThat(value, greaterThanOrEqualTo((double) minValue)); assertThat(value, lessThanOrEqualTo((double) maxValue)); if (percentile.getPercent() == 0) { assertThat(value, equalTo((double) minValue)); } if (percentile.getPercent() == 100) { assertThat(value, equalTo((double) maxValue)); } } for (int i = 1; i < percentileList.size(); ++i) { assertThat(percentileList.get(i).getValue(), greaterThanOrEqualTo(percentileList.get(i - 1).getValue())); } } @Override @Test public void testEmptyAggregation() throws Exception { SearchResponse searchResponse = client().prepareSearch("empty_bucket_idx") .setQuery(matchAllQuery()) .addAggregation(histogram("histo").field("value").interval(1l).minDocCount(0) .subAggregation(randomCompression(percentiles("percentiles")) .percentiles(10, 15))) .execute().actionGet(); assertThat(searchResponse.getHits().getTotalHits(), equalTo(2l)); Histogram histo = searchResponse.getAggregations().get("histo"); assertThat(histo, notNullValue()); Histogram.Bucket bucket = histo.getBuckets().get(1); assertThat(bucket, notNullValue()); Percentiles percentiles = bucket.getAggregations().get("percentiles"); assertThat(percentiles, notNullValue()); assertThat(percentiles.getName(), equalTo("percentiles")); assertThat(percentiles.percentile(10), equalTo(Double.NaN)); assertThat(percentiles.percentile(15), equalTo(Double.NaN)); } @Override @Test public void testUnmapped() throws Exception { SearchResponse searchResponse = client().prepareSearch("idx_unmapped") .setQuery(matchAllQuery()) .addAggregation(randomCompression(percentiles("percentiles")) .field("value") .percentiles(0, 10, 15, 100)) .execute().actionGet(); assertThat(searchResponse.getHits().getTotalHits(), equalTo(0l)); Percentiles percentiles = searchResponse.getAggregations().get("percentiles"); assertThat(percentiles, notNullValue()); assertThat(percentiles.getName(), equalTo("percentiles")); assertThat(percentiles.percentile(0), equalTo(Double.NaN)); assertThat(percentiles.percentile(10), equalTo(Double.NaN)); assertThat(percentiles.percentile(15), equalTo(Double.NaN)); assertThat(percentiles.percentile(100), equalTo(Double.NaN)); } @Override @Test public void testSingleValuedField() throws Exception { final double[] pcts = randomPercentiles(); SearchResponse searchResponse = client().prepareSearch("idx") .setQuery(matchAllQuery()) .addAggregation(randomCompression(percentiles("percentiles")) .field("value") .percentiles(pcts)) .execute().actionGet(); assertHitCount(searchResponse, 10); final Percentiles percentiles = searchResponse.getAggregations().get("percentiles"); assertConsistent(pcts, percentiles, minValue, maxValue); } @Override @Test public void testSingleValuedField_getProperty() throws Exception { final double[] pcts = randomPercentiles(); SearchResponse searchResponse = client() .prepareSearch("idx") .setQuery(matchAllQuery()) .addAggregation( global("global").subAggregation(randomCompression(percentiles("percentiles")).field("value").percentiles(pcts))) .execute().actionGet(); assertHitCount(searchResponse, 10); Global global = searchResponse.getAggregations().get("global"); assertThat(global, notNullValue()); assertThat(global.getName(), equalTo("global")); assertThat(global.getDocCount(), equalTo(10l)); assertThat(global.getAggregations(), notNullValue()); assertThat(global.getAggregations().asMap().size(), equalTo(1)); Percentiles percentiles = global.getAggregations().get("percentiles"); assertThat(percentiles, notNullValue()); assertThat(percentiles.getName(), equalTo("percentiles")); assertThat((Percentiles) global.getProperty("percentiles"), sameInstance(percentiles)); } @Override @Test public void testSingleValuedField_PartiallyUnmapped() throws Exception { final double[] pcts = randomPercentiles(); SearchResponse searchResponse = client().prepareSearch("idx", "idx_unmapped") .setQuery(matchAllQuery()) .addAggregation(randomCompression(percentiles("percentiles")) .field("value") .percentiles(pcts)) .execute().actionGet(); assertHitCount(searchResponse, 10); final Percentiles percentiles = searchResponse.getAggregations().get("percentiles"); assertConsistent(pcts, percentiles, minValue, maxValue); } @Override @Test public void testSingleValuedField_WithValueScript() throws Exception { final double[] pcts = randomPercentiles(); SearchResponse searchResponse = client().prepareSearch("idx") .setQuery(matchAllQuery()) .addAggregation(randomCompression(percentiles("percentiles")) .field("value").script(new Script("_value - 1")) .percentiles(pcts)) .execute().actionGet(); assertHitCount(searchResponse, 10); final Percentiles percentiles = searchResponse.getAggregations().get("percentiles"); assertConsistent(pcts, percentiles, minValue - 1, maxValue - 1); } @Override @Test public void testSingleValuedField_WithValueScript_WithParams() throws Exception { Map<String, Object> params = new HashMap<>(); params.put("dec", 1); final double[] pcts = randomPercentiles(); SearchResponse searchResponse = client().prepareSearch("idx") .setQuery(matchAllQuery()) .addAggregation(randomCompression(percentiles("percentiles")) .field("value") .script(new Script("_value - dec", ScriptType.INLINE, null, params)) .percentiles(pcts)) .execute().actionGet(); assertHitCount(searchResponse, 10); final Percentiles percentiles = searchResponse.getAggregations().get("percentiles"); assertConsistent(pcts, percentiles, minValue - 1, maxValue - 1); } @Override @Test public void testMultiValuedField() throws Exception { final double[] pcts = randomPercentiles(); SearchResponse searchResponse = client().prepareSearch("idx") .setQuery(matchAllQuery()) .addAggregation(randomCompression(percentiles("percentiles")) .field("values") .percentiles(pcts)) .execute().actionGet(); assertHitCount(searchResponse, 10); final Percentiles percentiles = searchResponse.getAggregations().get("percentiles"); assertConsistent(pcts, percentiles, minValues, maxValues); } @Override @Test public void testMultiValuedField_WithValueScript() throws Exception { final double[] pcts = randomPercentiles(); SearchResponse searchResponse = client().prepareSearch("idx") .setQuery(matchAllQuery()) .addAggregation(randomCompression(percentiles("percentiles")) .field("values").script(new Script("_value - 1")) .percentiles(pcts)) .execute().actionGet(); assertHitCount(searchResponse, 10); final Percentiles percentiles = searchResponse.getAggregations().get("percentiles"); assertConsistent(pcts, percentiles, minValues - 1, maxValues - 1); } @Test public void testMultiValuedField_WithValueScript_Reverse() throws Exception { final double[] pcts = randomPercentiles(); SearchResponse searchResponse = client().prepareSearch("idx") .setQuery(matchAllQuery()) .addAggregation(randomCompression(percentiles("percentiles")) .field("values").script(new Script("_value * -1")) .percentiles(pcts)) .execute().actionGet(); assertHitCount(searchResponse, 10); final Percentiles percentiles = searchResponse.getAggregations().get("percentiles"); assertConsistent(pcts, percentiles, -maxValues, -minValues); } @Override @Test public void testMultiValuedField_WithValueScript_WithParams() throws Exception { Map<String, Object> params = new HashMap<>(); params.put("dec", 1); final double[] pcts = randomPercentiles(); SearchResponse searchResponse = client().prepareSearch("idx") .setQuery(matchAllQuery()) .addAggregation(randomCompression(percentiles("percentiles")) .field("values") .script(new Script("_value - dec", ScriptType.INLINE, null, params)) .percentiles(pcts)) .execute().actionGet(); assertHitCount(searchResponse, 10); final Percentiles percentiles = searchResponse.getAggregations().get("percentiles"); assertConsistent(pcts, percentiles, minValues - 1, maxValues - 1); } @Override @Test public void testScript_SingleValued() throws Exception { final double[] pcts = randomPercentiles(); SearchResponse searchResponse = client().prepareSearch("idx") .setQuery(matchAllQuery()) .addAggregation(randomCompression(percentiles("percentiles")) .script(new Script("doc['value'].value")) .percentiles(pcts)) .execute().actionGet(); assertHitCount(searchResponse, 10); final Percentiles percentiles = searchResponse.getAggregations().get("percentiles"); assertConsistent(pcts, percentiles, minValue, maxValue); } @Override @Test public void testScript_SingleValued_WithParams() throws Exception { Map<String, Object> params = new HashMap<>(); params.put("dec", 1); final double[] pcts = randomPercentiles(); SearchResponse searchResponse = client().prepareSearch("idx") .setQuery(matchAllQuery()) .addAggregation(randomCompression(percentiles("percentiles")) .script( new Script("doc['value'].value - dec", ScriptType.INLINE, null, params)) .percentiles(pcts)) .execute().actionGet(); assertHitCount(searchResponse, 10); final Percentiles percentiles = searchResponse.getAggregations().get("percentiles"); assertConsistent(pcts, percentiles, minValue - 1, maxValue - 1); } @Override public void testScriptMultiValued() throws Exception { final double[] pcts = randomPercentiles(); SearchResponse searchResponse = client().prepareSearch("idx") .setQuery(matchAllQuery()) .addAggregation(randomCompression(percentiles("percentiles")) .script(new Script("doc['values'].values")) .percentiles(pcts)) .execute().actionGet(); assertHitCount(searchResponse, 10); final Percentiles percentiles = searchResponse.getAggregations().get("percentiles"); assertConsistent(pcts, percentiles, minValues, maxValues); } @Override public void testScriptMultiValuedWithParams() throws Exception { Map<String, Object> params = new HashMap<>(); params.put("dec", 1); final double[] pcts = randomPercentiles(); SearchResponse searchResponse = client().prepareSearch("idx") .setQuery(matchAllQuery()) .addAggregation(randomCompression(percentiles("percentiles")) .script(new Script( "List values = doc['values'].values; double[] res = new double[values.size()]; for (int i = 0; i < res.length; i++) { res[i] = values.get(i) - dec; }; return res;", ScriptType.INLINE, null, params)) .percentiles(pcts)) .execute().actionGet(); assertHitCount(searchResponse, 10); final Percentiles percentiles = searchResponse.getAggregations().get("percentiles"); assertConsistent(pcts, percentiles, minValues - 1, maxValues - 1); } @Test public void testOrderBySubAggregation() { boolean asc = randomBoolean(); SearchResponse searchResponse = client().prepareSearch("idx") .setQuery(matchAllQuery()) .addAggregation( histogram("histo").field("value").interval(2l) .subAggregation(randomCompression(percentiles("percentiles").percentiles(99))) .order(Order.aggregation("percentiles", "99", asc))) .execute().actionGet(); assertHitCount(searchResponse, 10); Histogram histo = searchResponse.getAggregations().get("histo"); double previous = asc ? Double.NEGATIVE_INFINITY : Double.POSITIVE_INFINITY; for (Histogram.Bucket bucket : histo.getBuckets()) { Percentiles percentiles = bucket.getAggregations().get("percentiles"); double p99 = percentiles.percentile(99); if (asc) { assertThat(p99, greaterThanOrEqualTo(previous)); } else { assertThat(p99, lessThanOrEqualTo(previous)); } previous = p99; } } @Override public void testOrderByEmptyAggregation() throws Exception { SearchResponse searchResponse = client().prepareSearch("idx").setQuery(matchAllQuery()) .addAggregation( terms("terms").field("value").order(Terms.Order.compound(Terms.Order.aggregation("filter>percentiles.99", true))) .subAggregation(filter("filter").filter(termQuery("value", 100)) .subAggregation(percentiles("percentiles").method(PercentilesMethod.TDIGEST).field("value")))) .get(); assertHitCount(searchResponse, 10); Terms terms = searchResponse.getAggregations().get("terms"); assertThat(terms, notNullValue()); List<Terms.Bucket> buckets = terms.getBuckets(); assertThat(buckets, notNullValue()); assertThat(buckets.size(), equalTo(10)); for (int i = 0; i < 10; i++) { Terms.Bucket bucket = buckets.get(i); assertThat(bucket, notNullValue()); assertThat(bucket.getKeyAsNumber(), equalTo((Number) Long.valueOf(i + 1))); assertThat(bucket.getDocCount(), equalTo(1L)); Filter filter = bucket.getAggregations().get("filter"); assertThat(filter, notNullValue()); assertThat(filter.getDocCount(), equalTo(0L)); Percentiles percentiles = filter.getAggregations().get("percentiles"); assertThat(percentiles, notNullValue()); assertThat(percentiles.percentile(99), equalTo(Double.NaN)); } } }