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| 1 | +/* |
| 2 | + * Licensed to Elasticsearch under one or more contributor |
| 3 | + * license agreements. See the NOTICE file distributed with |
| 4 | + * this work for additional information regarding copyright |
| 5 | + * ownership. Elasticsearch licenses this file to you under |
| 6 | + * the Apache License, Version 2.0 (the "License"); you may |
| 7 | + * not use this file except in compliance with the License. |
| 8 | + * You may obtain a copy of the License at |
| 9 | + * |
| 10 | + * http://www.apache.org/licenses/LICENSE-2.0 |
| 11 | + * |
| 12 | + * Unless required by applicable law or agreed to in writing, |
| 13 | + * software distributed under the License is distributed on an |
| 14 | + * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY |
| 15 | + * KIND, either express or implied. See the License for the |
| 16 | + * specific language governing permissions and limitations |
| 17 | + * under the License. |
| 18 | + */ |
| 19 | + |
| 20 | +package org.elasticsearch.benchmark.search.aggregations; |
| 21 | + |
| 22 | +import com.google.common.collect.ImmutableMap; |
| 23 | +import com.google.common.collect.Maps; |
| 24 | +import org.elasticsearch.action.admin.cluster.health.ClusterHealthResponse; |
| 25 | +import org.elasticsearch.action.bulk.BulkRequestBuilder; |
| 26 | +import org.elasticsearch.action.bulk.BulkResponse; |
| 27 | +import org.elasticsearch.action.search.SearchResponse; |
| 28 | +import org.elasticsearch.action.search.SearchType; |
| 29 | +import org.elasticsearch.client.Client; |
| 30 | +import org.elasticsearch.common.StopWatch; |
| 31 | +import org.elasticsearch.common.settings.Settings; |
| 32 | +import org.elasticsearch.common.unit.SizeValue; |
| 33 | +import org.elasticsearch.common.unit.TimeValue; |
| 34 | +import org.elasticsearch.common.xcontent.XContentBuilder; |
| 35 | +import org.elasticsearch.common.xcontent.json.JsonXContent; |
| 36 | +import org.elasticsearch.node.Node; |
| 37 | +import org.elasticsearch.search.aggregations.metrics.percentile.Percentiles; |
| 38 | +import org.elasticsearch.search.aggregations.metrics.percentile.Percentiles.ExecutionHint; |
| 39 | +import org.elasticsearch.search.aggregations.metrics.percentile.Percentiles.Percentile; |
| 40 | + |
| 41 | +import java.util.*; |
| 42 | +import java.util.concurrent.TimeUnit; |
| 43 | + |
| 44 | +import static org.elasticsearch.client.Requests.createIndexRequest; |
| 45 | +import static org.elasticsearch.client.Requests.getRequest; |
| 46 | +import static org.elasticsearch.cluster.metadata.IndexMetaData.SETTING_NUMBER_OF_REPLICAS; |
| 47 | +import static org.elasticsearch.cluster.metadata.IndexMetaData.SETTING_NUMBER_OF_SHARDS; |
| 48 | +import static org.elasticsearch.common.settings.ImmutableSettings.settingsBuilder; |
| 49 | +import static org.elasticsearch.index.query.QueryBuilders.matchAllQuery; |
| 50 | +import static org.elasticsearch.node.NodeBuilder.nodeBuilder; |
| 51 | +import static org.elasticsearch.search.aggregations.AggregationBuilders.percentiles; |
| 52 | + |
| 53 | +public class PercentileAggregationSearchBenchmark { |
| 54 | + |
| 55 | + private static final int AMPLITUDE = 10000; |
| 56 | + private static final Map<String, ExecutionHint> EXECUTION_HINTS = ImmutableMap.of( |
| 57 | + "frugal", ExecutionHint.frugal(), |
| 58 | + "qdigest", ExecutionHint.qDigest(), |
| 59 | + "tdigest", ExecutionHint.tDigest()); |
| 60 | + private static final int NUM_DOCS = (int) SizeValue.parseSizeValue("1m").singles(); |
| 61 | + private static final int BATCH = 100; |
| 62 | + private static final String CLUSTER_NAME = PercentileAggregationSearchBenchmark.class.getSimpleName(); |
| 63 | + private static final double[] PERCENTILES = new double[] { 0, 0.01, 0.1, 1, 10, 25, 50, 75, 90, 99, 99.9, 99.99, 100}; |
| 64 | + private static final int QUERY_WARMUP = 10; |
| 65 | + private static final int QUERY_COUNT = 20; |
| 66 | + |
| 67 | + private static Random R = new Random(0); |
| 68 | + |
| 69 | + // we generate ints to not disadvantage qdigest which only works with integers |
| 70 | + private enum Distribution { |
| 71 | + UNIFORM { |
| 72 | + @Override |
| 73 | + int next() { |
| 74 | + return (int) (R.nextDouble() * AMPLITUDE); |
| 75 | + } |
| 76 | + }, |
| 77 | + GAUSS { |
| 78 | + @Override |
| 79 | + int next() { |
| 80 | + return (int) (R.nextDouble() * AMPLITUDE); |
| 81 | + } |
| 82 | + }, |
| 83 | + LOG_NORMAL { |
| 84 | + @Override |
| 85 | + int next() { |
| 86 | + return (int) Math.exp(R.nextDouble() * Math.log(AMPLITUDE)); |
| 87 | + } |
| 88 | + }; |
| 89 | + String indexName() { |
| 90 | + return name().toLowerCase(Locale.ROOT); |
| 91 | + } |
| 92 | + abstract int next(); |
| 93 | + } |
| 94 | + |
| 95 | + private static double accuratePercentile(double percentile, int[] sortedValues) { |
| 96 | + final double index = percentile / 100 * (sortedValues.length - 1); |
| 97 | + final int intIndex = (int) index; |
| 98 | + final double delta = index - intIndex; |
| 99 | + if (delta == 0) { |
| 100 | + return sortedValues[intIndex]; |
| 101 | + } else { |
| 102 | + return sortedValues[intIndex] * (1 - delta) + sortedValues[intIndex + 1] * delta; |
| 103 | + } |
| 104 | + } |
| 105 | + |
| 106 | + public static void main(String[] args) throws Exception { |
| 107 | + Settings settings = settingsBuilder() |
| 108 | + .put("index.refresh_interval", "-1") |
| 109 | + .put(SETTING_NUMBER_OF_SHARDS, 100) // to also test performance and accuracy of the reduce phase |
| 110 | + .put(SETTING_NUMBER_OF_REPLICAS, 0) |
| 111 | + .build(); |
| 112 | + |
| 113 | + Node[] nodes = new Node[1]; |
| 114 | + for (int i = 0; i < nodes.length; i++) { |
| 115 | + nodes[i] = nodeBuilder().clusterName(CLUSTER_NAME) |
| 116 | + .settings(settingsBuilder().put(settings).put("name", "node" + i)) |
| 117 | + .node(); |
| 118 | + } |
| 119 | + |
| 120 | + Node clientNode = nodeBuilder() |
| 121 | + .clusterName(CLUSTER_NAME) |
| 122 | + .settings(settingsBuilder().put(settings).put("name", "client")).client(true).node(); |
| 123 | + |
| 124 | + Client client = clientNode.client(); |
| 125 | + |
| 126 | + for (Distribution d : Distribution.values()) { |
| 127 | + try { |
| 128 | + client.admin().indices().create(createIndexRequest(d.indexName()).settings(settings)).actionGet(); |
| 129 | + } catch (Exception e) { |
| 130 | + System.out.println("Index " + d.indexName() + " already exists, skipping index creation"); |
| 131 | + continue; |
| 132 | + } |
| 133 | + |
| 134 | + final int[] values = new int[NUM_DOCS]; |
| 135 | + for (int i = 0; i < NUM_DOCS; ++i) { |
| 136 | + values[i] = d.next(); |
| 137 | + } |
| 138 | + System.out.println("Indexing " + NUM_DOCS + " documents into " + d.indexName()); |
| 139 | + StopWatch stopWatch = new StopWatch().start(); |
| 140 | + for (int i = 0; i < NUM_DOCS; ) { |
| 141 | + BulkRequestBuilder request = client.prepareBulk(); |
| 142 | + for (int j = 0; j < BATCH && i < NUM_DOCS; ++j) { |
| 143 | + request.add(client.prepareIndex(d.indexName(), "values", Integer.toString(i)).setSource("v", values[i])); |
| 144 | + ++i; |
| 145 | + } |
| 146 | + BulkResponse response = request.execute().actionGet(); |
| 147 | + if (response.hasFailures()) { |
| 148 | + System.err.println("--> failures..."); |
| 149 | + System.err.println(response.buildFailureMessage()); |
| 150 | + } |
| 151 | + if ((i % 100000) == 0) { |
| 152 | + System.out.println("--> Indexed " + i + " took " + stopWatch.stop().lastTaskTime()); |
| 153 | + stopWatch.start(); |
| 154 | + } |
| 155 | + } |
| 156 | + Arrays.sort(values); |
| 157 | + XContentBuilder builder = JsonXContent.contentBuilder().startObject(); |
| 158 | + for (double percentile : PERCENTILES) { |
| 159 | + builder.field(Double.toString(percentile), accuratePercentile(percentile, values)); |
| 160 | + } |
| 161 | + client.prepareIndex(d.indexName(), "values", "percentiles").setSource(builder.endObject()).execute().actionGet(); |
| 162 | + client.admin().indices().prepareRefresh(d.indexName()).execute().actionGet(); |
| 163 | + } |
| 164 | + |
| 165 | + ClusterHealthResponse clusterHealthResponse = client.admin().cluster().prepareHealth().setWaitForGreenStatus().setTimeout("10m").execute().actionGet(); |
| 166 | + if (clusterHealthResponse.isTimedOut()) { |
| 167 | + System.err.println("--> Timed out waiting for cluster health"); |
| 168 | + } |
| 169 | + |
| 170 | + System.out.println("## Precision"); |
| 171 | + for (Distribution d : Distribution.values()) { |
| 172 | + System.out.println("#### " + d); |
| 173 | + final long count = client.prepareCount(d.indexName()).setQuery(matchAllQuery()).execute().actionGet().getCount(); |
| 174 | + if (count != NUM_DOCS + 1) { |
| 175 | + throw new Error("Expected " + NUM_DOCS + " documents, got " + (count - 1)); |
| 176 | + } |
| 177 | + Map<String, Object> percentilesUnsorted = client.get(getRequest(d.indexName()).type("values").id("percentiles")).actionGet().getSourceAsMap(); |
| 178 | + SortedMap<Double, Double> percentiles = Maps.newTreeMap(); |
| 179 | + for (Map.Entry<String, Object> entry : percentilesUnsorted.entrySet()) { |
| 180 | + percentiles.put(Double.parseDouble(entry.getKey()), (Double) entry.getValue()); |
| 181 | + } |
| 182 | + System.out.println("Expected percentiles: " + percentiles); |
| 183 | + System.out.println(); |
| 184 | + for (Map.Entry<String, ExecutionHint> executionHint : EXECUTION_HINTS.entrySet()) { |
| 185 | + SearchResponse resp = client.prepareSearch(d.indexName()).setSearchType(SearchType.COUNT).addAggregation(percentiles("pcts").executionHint(executionHint.getValue()).field("v").percentiles(PERCENTILES)).execute().actionGet(); |
| 186 | + Percentiles pcts = resp.getAggregations().get("pcts"); |
| 187 | + Map<Double, Double> asMap = Maps.newLinkedHashMap(); |
| 188 | + double sumOfErrorSquares = 0; |
| 189 | + for (Percentile percentile : pcts) { |
| 190 | + asMap.put(percentile.getPercent(), percentile.getValue()); |
| 191 | + double error = percentile.getValue() - percentiles.get(percentile.getPercent()); |
| 192 | + sumOfErrorSquares += error * error; |
| 193 | + } |
| 194 | + System.out.println(executionHint.getKey() + ": " + asMap); |
| 195 | + System.out.println("Sum of error squares: " + sumOfErrorSquares); |
| 196 | + System.out.println(); |
| 197 | + } |
| 198 | + } |
| 199 | + |
| 200 | + System.out.println("## Performance"); |
| 201 | + for (int i = 0; i < 3; ++i) { |
| 202 | + for (Distribution d : Distribution.values()) { |
| 203 | + System.out.println("#### " + d); |
| 204 | + for (Map.Entry<String, ExecutionHint> executionHint : EXECUTION_HINTS.entrySet()) { |
| 205 | + for (int j = 0; j < QUERY_WARMUP; ++j) { |
| 206 | + client.prepareSearch(d.indexName()).setSearchType(SearchType.COUNT).addAggregation(percentiles("pcts").executionHint(executionHint.getValue()).field("v").percentiles(PERCENTILES)).execute().actionGet(); |
| 207 | + } |
| 208 | + long start = System.nanoTime(); |
| 209 | + for (int j = 0; j < QUERY_COUNT; ++j) { |
| 210 | + client.prepareSearch(d.indexName()).setSearchType(SearchType.COUNT).addAggregation(percentiles("pcts").executionHint(executionHint.getValue()).field("v").percentiles(PERCENTILES)).execute().actionGet(); |
| 211 | + } |
| 212 | + System.out.println(executionHint.getKey() + ": " + new TimeValue((System.nanoTime() - start) / QUERY_COUNT, TimeUnit.NANOSECONDS)); |
| 213 | + } |
| 214 | + } |
| 215 | + } |
| 216 | + } |
| 217 | + |
| 218 | +} |
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