Java tutorial
/* * Licensed to Metamarkets Group Inc. (Metamarkets) under one * or more contributor license agreements. See the NOTICE file * distributed with this work for additional information * regarding copyright ownership. Metamarkets 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 io.druid.benchmark.query; import com.fasterxml.jackson.databind.ObjectMapper; import com.google.common.base.Supplier; import com.google.common.base.Suppliers; import com.google.common.collect.Lists; import com.google.common.collect.Maps; import com.google.common.io.Files; import io.druid.benchmark.datagen.BenchmarkDataGenerator; import io.druid.benchmark.datagen.BenchmarkSchemaInfo; import io.druid.benchmark.datagen.BenchmarkSchemas; import io.druid.java.util.common.concurrent.Execs; import io.druid.data.input.InputRow; import io.druid.data.input.Row; import io.druid.hll.HyperLogLogHash; import io.druid.jackson.DefaultObjectMapper; import io.druid.java.util.common.granularity.Granularities; import io.druid.java.util.common.guava.Sequence; import io.druid.java.util.common.guava.Sequences; import io.druid.java.util.common.logger.Logger; import io.druid.query.Druids; import io.druid.query.FinalizeResultsQueryRunner; import io.druid.query.Query; import io.druid.query.QueryPlus; import io.druid.query.QueryRunner; import io.druid.query.QueryRunnerFactory; import io.druid.query.QueryToolChest; import io.druid.query.Result; import io.druid.query.TableDataSource; import io.druid.query.aggregation.hyperloglog.HyperUniquesSerde; import io.druid.query.dimension.DefaultDimensionSpec; import io.druid.query.select.EventHolder; import io.druid.query.select.PagingSpec; import io.druid.query.select.SelectQuery; import io.druid.query.select.SelectQueryConfig; import io.druid.query.select.SelectQueryEngine; import io.druid.query.select.SelectQueryQueryToolChest; import io.druid.query.select.SelectQueryRunnerFactory; import io.druid.query.select.SelectResultValue; import io.druid.query.spec.MultipleIntervalSegmentSpec; import io.druid.query.spec.QuerySegmentSpec; import io.druid.segment.IncrementalIndexSegment; import io.druid.segment.IndexIO; import io.druid.segment.IndexMergerV9; import io.druid.segment.IndexSpec; import io.druid.segment.QueryableIndex; import io.druid.segment.QueryableIndexSegment; import io.druid.segment.column.ColumnConfig; import io.druid.segment.incremental.IncrementalIndex; import io.druid.segment.serde.ComplexMetrics; import org.apache.commons.io.FileUtils; import org.openjdk.jmh.annotations.Benchmark; import org.openjdk.jmh.annotations.BenchmarkMode; import org.openjdk.jmh.annotations.Fork; import org.openjdk.jmh.annotations.Measurement; import org.openjdk.jmh.annotations.Mode; import org.openjdk.jmh.annotations.OutputTimeUnit; import org.openjdk.jmh.annotations.Param; import org.openjdk.jmh.annotations.Scope; import org.openjdk.jmh.annotations.Setup; import org.openjdk.jmh.annotations.State; import org.openjdk.jmh.annotations.TearDown; import org.openjdk.jmh.annotations.Warmup; import org.openjdk.jmh.infra.Blackhole; import java.io.File; import java.io.IOException; import java.util.ArrayList; import java.util.Arrays; import java.util.Collections; import java.util.HashMap; import java.util.LinkedHashMap; import java.util.List; import java.util.Map; import java.util.concurrent.ExecutorService; import java.util.concurrent.TimeUnit; @State(Scope.Benchmark) @Fork(value = 1) @Warmup(iterations = 10) @Measurement(iterations = 25) public class SelectBenchmark { @Param({ "1" }) private int numSegments; @Param({ "25000" }) private int rowsPerSegment; @Param({ "basic.A" }) private String schemaAndQuery; @Param({ "1000" }) private int pagingThreshold; private static final Logger log = new Logger(SelectBenchmark.class); private static final int RNG_SEED = 9999; private static final IndexMergerV9 INDEX_MERGER_V9; private static final IndexIO INDEX_IO; public static final ObjectMapper JSON_MAPPER; private List<IncrementalIndex> incIndexes; private List<QueryableIndex> qIndexes; private QueryRunnerFactory factory; private BenchmarkSchemaInfo schemaInfo; private Druids.SelectQueryBuilder queryBuilder; private SelectQuery query; private File tmpDir; private ExecutorService executorService; static { JSON_MAPPER = new DefaultObjectMapper(); INDEX_IO = new IndexIO(JSON_MAPPER, new ColumnConfig() { @Override public int columnCacheSizeBytes() { return 0; } }); INDEX_MERGER_V9 = new IndexMergerV9(JSON_MAPPER, INDEX_IO); } private static final Map<String, Map<String, Druids.SelectQueryBuilder>> SCHEMA_QUERY_MAP = new LinkedHashMap<>(); private void setupQueries() { // queries for the basic schema Map<String, Druids.SelectQueryBuilder> basicQueries = new LinkedHashMap<>(); BenchmarkSchemaInfo basicSchema = BenchmarkSchemas.SCHEMA_MAP.get("basic"); { // basic.A QuerySegmentSpec intervalSpec = new MultipleIntervalSegmentSpec( Collections.singletonList(basicSchema.getDataInterval())); Druids.SelectQueryBuilder queryBuilderA = Druids.newSelectQueryBuilder() .dataSource(new TableDataSource("blah")) .dimensionSpecs(DefaultDimensionSpec.toSpec(Arrays.<String>asList())) .metrics(Arrays.<String>asList()).intervals(intervalSpec).granularity(Granularities.ALL) .descending(false); basicQueries.put("A", queryBuilderA); } SCHEMA_QUERY_MAP.put("basic", basicQueries); } @Setup public void setup() throws IOException { log.info("SETUP CALLED AT " + System.currentTimeMillis()); if (ComplexMetrics.getSerdeForType("hyperUnique") == null) { ComplexMetrics.registerSerde("hyperUnique", new HyperUniquesSerde(HyperLogLogHash.getDefault())); } executorService = Execs.multiThreaded(numSegments, "SelectThreadPool"); setupQueries(); String[] schemaQuery = schemaAndQuery.split("\\."); String schemaName = schemaQuery[0]; String queryName = schemaQuery[1]; schemaInfo = BenchmarkSchemas.SCHEMA_MAP.get(schemaName); queryBuilder = SCHEMA_QUERY_MAP.get(schemaName).get(queryName); queryBuilder.pagingSpec(PagingSpec.newSpec(pagingThreshold)); query = queryBuilder.build(); incIndexes = new ArrayList<>(); for (int i = 0; i < numSegments; i++) { BenchmarkDataGenerator gen = new BenchmarkDataGenerator(schemaInfo.getColumnSchemas(), RNG_SEED + i, schemaInfo.getDataInterval(), rowsPerSegment); IncrementalIndex incIndex = makeIncIndex(); for (int j = 0; j < rowsPerSegment; j++) { InputRow row = gen.nextRow(); if (j % 10000 == 0) { log.info(j + " rows generated."); } incIndex.add(row); } incIndexes.add(incIndex); } tmpDir = Files.createTempDir(); log.info("Using temp dir: " + tmpDir.getAbsolutePath()); qIndexes = new ArrayList<>(); for (int i = 0; i < numSegments; i++) { File indexFile = INDEX_MERGER_V9.persist(incIndexes.get(i), tmpDir, new IndexSpec()); QueryableIndex qIndex = INDEX_IO.loadIndex(indexFile); qIndexes.add(qIndex); } final Supplier<SelectQueryConfig> selectConfigSupplier = Suppliers.ofInstance(new SelectQueryConfig(true)); factory = new SelectQueryRunnerFactory( new SelectQueryQueryToolChest(JSON_MAPPER, QueryBenchmarkUtil.NoopIntervalChunkingQueryRunnerDecorator(), selectConfigSupplier), new SelectQueryEngine(selectConfigSupplier), QueryBenchmarkUtil.NOOP_QUERYWATCHER); } @TearDown public void tearDown() throws IOException { FileUtils.deleteDirectory(tmpDir); } private IncrementalIndex makeIncIndex() { return new IncrementalIndex.Builder().setSimpleTestingIndexSchema(schemaInfo.getAggsArray()) .setReportParseExceptions(false).setMaxRowCount(rowsPerSegment).buildOnheap(); } private static <T> List<T> runQuery(QueryRunnerFactory factory, QueryRunner runner, Query<T> query) { QueryToolChest toolChest = factory.getToolchest(); QueryRunner<T> theRunner = new FinalizeResultsQueryRunner<>( toolChest.mergeResults(toolChest.preMergeQueryDecoration(runner)), toolChest); Sequence<T> queryResult = theRunner.run(QueryPlus.wrap(query), Maps.<String, Object>newHashMap()); return Sequences.toList(queryResult, Lists.<T>newArrayList()); } // don't run this benchmark with a query that doesn't use QueryGranularities.ALL, // this pagination function probably doesn't work correctly in that case. private SelectQuery incrementQueryPagination(SelectQuery query, SelectResultValue prevResult) { Map<String, Integer> pagingIdentifiers = prevResult.getPagingIdentifiers(); Map<String, Integer> newPagingIdentifers = new HashMap<>(); for (String segmentId : pagingIdentifiers.keySet()) { int newOffset = pagingIdentifiers.get(segmentId) + 1; newPagingIdentifers.put(segmentId, newOffset); } return query.withPagingSpec(new PagingSpec(newPagingIdentifers, pagingThreshold)); } @Benchmark @BenchmarkMode(Mode.AverageTime) @OutputTimeUnit(TimeUnit.MICROSECONDS) public void queryIncrementalIndex(Blackhole blackhole) throws Exception { SelectQuery queryCopy = query.withPagingSpec(PagingSpec.newSpec(pagingThreshold)); String segmentId = "incIndex"; QueryRunner<Row> runner = QueryBenchmarkUtil.makeQueryRunner(factory, segmentId, new IncrementalIndexSegment(incIndexes.get(0), segmentId)); boolean done = false; while (!done) { List<Result<SelectResultValue>> results = SelectBenchmark.runQuery(factory, runner, queryCopy); SelectResultValue result = results.get(0).getValue(); if (result.getEvents().size() == 0) { done = true; } else { for (EventHolder eh : result.getEvents()) { blackhole.consume(eh); } queryCopy = incrementQueryPagination(queryCopy, result); } } } @Benchmark @BenchmarkMode(Mode.AverageTime) @OutputTimeUnit(TimeUnit.MICROSECONDS) public void queryQueryableIndex(Blackhole blackhole) throws Exception { SelectQuery queryCopy = query.withPagingSpec(PagingSpec.newSpec(pagingThreshold)); String segmentId = "qIndex"; QueryRunner<Result<SelectResultValue>> runner = QueryBenchmarkUtil.makeQueryRunner(factory, segmentId, new QueryableIndexSegment(segmentId, qIndexes.get(0))); boolean done = false; while (!done) { List<Result<SelectResultValue>> results = SelectBenchmark.runQuery(factory, runner, queryCopy); SelectResultValue result = results.get(0).getValue(); if (result.getEvents().size() == 0) { done = true; } else { for (EventHolder eh : result.getEvents()) { blackhole.consume(eh); } queryCopy = incrementQueryPagination(queryCopy, result); } } } @Benchmark @BenchmarkMode(Mode.AverageTime) @OutputTimeUnit(TimeUnit.MICROSECONDS) public void queryMultiQueryableIndex(Blackhole blackhole) throws Exception { SelectQuery queryCopy = query.withPagingSpec(PagingSpec.newSpec(pagingThreshold)); String segmentName; List<QueryRunner<Result<SelectResultValue>>> singleSegmentRunners = Lists.newArrayList(); QueryToolChest toolChest = factory.getToolchest(); for (int i = 0; i < numSegments; i++) { segmentName = "qIndex" + i; QueryRunner<Result<SelectResultValue>> runner = QueryBenchmarkUtil.makeQueryRunner(factory, segmentName, new QueryableIndexSegment(segmentName, qIndexes.get(i))); singleSegmentRunners.add(toolChest.preMergeQueryDecoration(runner)); } QueryRunner theRunner = toolChest.postMergeQueryDecoration(new FinalizeResultsQueryRunner<>( toolChest.mergeResults(factory.mergeRunners(executorService, singleSegmentRunners)), toolChest)); boolean done = false; while (!done) { Sequence<Result<SelectResultValue>> queryResult = theRunner.run(QueryPlus.wrap(queryCopy), Maps.newHashMap()); List<Result<SelectResultValue>> results = Sequences.toList(queryResult, Lists.<Result<SelectResultValue>>newArrayList()); SelectResultValue result = results.get(0).getValue(); if (result.getEvents().size() == 0) { done = true; } else { for (EventHolder eh : result.getEvents()) { blackhole.consume(eh); } queryCopy = incrementQueryPagination(queryCopy, result); } } } }