leventov commented on a change in pull request #8089: add CachingClusteredClient benchmark, refactor some stuff URL: https://github.com/apache/incubator-druid/pull/8089#discussion_r304444669
########## File path: benchmarks/src/main/java/org/apache/druid/benchmark/query/CachingClusteredClientBenchmark.java ########## @@ -0,0 +1,569 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF 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.apache.druid.benchmark.query; + +import com.fasterxml.jackson.databind.InjectableValues.Std; +import com.fasterxml.jackson.databind.ObjectMapper; +import com.google.common.base.Preconditions; +import com.google.common.base.Supplier; +import com.google.common.base.Suppliers; +import com.google.common.collect.ImmutableMap; +import com.google.common.collect.Iterables; +import com.google.common.collect.Ordering; +import org.apache.druid.benchmark.datagen.BenchmarkSchemaInfo; +import org.apache.druid.benchmark.datagen.BenchmarkSchemas; +import org.apache.druid.benchmark.datagen.SegmentGenerator; +import org.apache.druid.client.CachingClusteredClient; +import org.apache.druid.client.DruidServer; +import org.apache.druid.client.ImmutableDruidServer; +import org.apache.druid.client.TimelineServerView; +import org.apache.druid.client.cache.CacheConfig; +import org.apache.druid.client.cache.CachePopulatorStats; +import org.apache.druid.client.cache.ForegroundCachePopulator; +import org.apache.druid.client.cache.MapCache; +import org.apache.druid.client.selector.HighestPriorityTierSelectorStrategy; +import org.apache.druid.client.selector.QueryableDruidServer; +import org.apache.druid.client.selector.RandomServerSelectorStrategy; +import org.apache.druid.client.selector.ServerSelector; +import org.apache.druid.client.selector.TierSelectorStrategy; +import org.apache.druid.collections.BlockingPool; +import org.apache.druid.collections.DefaultBlockingPool; +import org.apache.druid.collections.NonBlockingPool; +import org.apache.druid.collections.StupidPool; +import org.apache.druid.data.input.Row; +import org.apache.druid.guice.http.DruidHttpClientConfig; +import org.apache.druid.jackson.DefaultObjectMapper; +import org.apache.druid.java.util.common.concurrent.Execs; +import org.apache.druid.java.util.common.granularity.Granularities; +import org.apache.druid.java.util.common.granularity.Granularity; +import org.apache.druid.java.util.common.guava.Sequence; +import org.apache.druid.java.util.common.io.Closer; +import org.apache.druid.java.util.common.logger.Logger; +import org.apache.druid.math.expr.ExprMacroTable; +import org.apache.druid.query.BySegmentQueryRunner; +import org.apache.druid.query.DataSource; +import org.apache.druid.query.DefaultQueryRunnerFactoryConglomerate; +import org.apache.druid.query.DruidProcessingConfig; +import org.apache.druid.query.Druids; +import org.apache.druid.query.FinalizeResultsQueryRunner; +import org.apache.druid.query.FluentQueryRunnerBuilder; +import org.apache.druid.query.Query; +import org.apache.druid.query.QueryPlus; +import org.apache.druid.query.QueryRunner; +import org.apache.druid.query.QueryRunnerFactory; +import org.apache.druid.query.QueryRunnerFactoryConglomerate; +import org.apache.druid.query.QueryRunnerTestHelper; +import org.apache.druid.query.QueryToolChest; +import org.apache.druid.query.QueryToolChestWarehouse; +import org.apache.druid.query.Result; +import org.apache.druid.query.aggregation.LongSumAggregatorFactory; +import org.apache.druid.query.dimension.DefaultDimensionSpec; +import org.apache.druid.query.expression.TestExprMacroTable; +import org.apache.druid.query.groupby.GroupByQuery; +import org.apache.druid.query.groupby.GroupByQueryConfig; +import org.apache.druid.query.groupby.GroupByQueryEngine; +import org.apache.druid.query.groupby.GroupByQueryQueryToolChest; +import org.apache.druid.query.groupby.GroupByQueryRunnerFactory; +import org.apache.druid.query.groupby.GroupByQueryRunnerTest; +import org.apache.druid.query.groupby.strategy.GroupByStrategySelector; +import org.apache.druid.query.groupby.strategy.GroupByStrategyV1; +import org.apache.druid.query.groupby.strategy.GroupByStrategyV2; +import org.apache.druid.query.spec.MultipleIntervalSegmentSpec; +import org.apache.druid.query.spec.QuerySegmentSpec; +import org.apache.druid.query.timeseries.TimeseriesQuery; +import org.apache.druid.query.timeseries.TimeseriesQueryEngine; +import org.apache.druid.query.timeseries.TimeseriesQueryQueryToolChest; +import org.apache.druid.query.timeseries.TimeseriesQueryRunnerFactory; +import org.apache.druid.query.timeseries.TimeseriesResultValue; +import org.apache.druid.query.topn.TopNQuery; +import org.apache.druid.query.topn.TopNQueryBuilder; +import org.apache.druid.query.topn.TopNQueryConfig; +import org.apache.druid.query.topn.TopNQueryQueryToolChest; +import org.apache.druid.query.topn.TopNQueryRunnerFactory; +import org.apache.druid.query.topn.TopNResultValue; +import org.apache.druid.segment.QueryableIndex; +import org.apache.druid.segment.QueryableIndexSegment; +import org.apache.druid.server.coordination.ServerType; +import org.apache.druid.timeline.DataSegment; +import org.apache.druid.timeline.SegmentId; +import org.apache.druid.timeline.TimelineLookup; +import org.apache.druid.timeline.VersionedIntervalTimeline; +import org.apache.druid.timeline.partition.LinearShardSpec; +import org.openjdk.jmh.annotations.Benchmark; +import org.openjdk.jmh.annotations.BenchmarkMode; +import org.openjdk.jmh.annotations.Fork; +import org.openjdk.jmh.annotations.Level; +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 javax.annotation.Nullable; +import java.io.IOException; +import java.nio.ByteBuffer; +import java.util.Collections; +import java.util.HashMap; +import java.util.List; +import java.util.Map; +import java.util.Map.Entry; +import java.util.concurrent.Executor; +import java.util.concurrent.ExecutorService; +import java.util.concurrent.TimeUnit; + +@State(Scope.Benchmark) +@Fork(value = 1, jvmArgsAppend = "-XX:+UseG1GC") +@Warmup(iterations = 15) +@Measurement(iterations = 30) +public class CachingClusteredClientBenchmark +{ + @Param({"8"}) + private int numServers; + + @Param({"4", "2", "1"}) + private int numProcessingThreads; + + @Param({"75000"}) + private int rowsPerSegment; + + @Param({"all"}) + private String queryGranularity; + + private static final Logger log = new Logger(CachingClusteredClientBenchmark.class); + private static final String DATA_SOURCE = "ds"; + public static final ObjectMapper JSON_MAPPER; + + private QueryToolChestWarehouse toolChestWarehouse; + private QueryRunnerFactoryConglomerate conglomerate; + private CachingClusteredClient cachingClusteredClient; + private ExecutorService processingPool; + + private Query query; + + private final Closer closer = Closer.create(); + + private final BenchmarkSchemaInfo basicSchema = BenchmarkSchemas.SCHEMA_MAP.get("basic"); + private final QuerySegmentSpec basicSchemaIntervalSpec = new MultipleIntervalSegmentSpec( + Collections.singletonList(basicSchema.getDataInterval()) + ); + + static { + JSON_MAPPER = new DefaultObjectMapper(); + JSON_MAPPER.setInjectableValues( + new Std() + .addValue(ExprMacroTable.class.getName(), TestExprMacroTable.INSTANCE) + .addValue(ObjectMapper.class.getName(), JSON_MAPPER) + .addValue(DataSegment.PruneLoadSpecHolder.class, DataSegment.PruneLoadSpecHolder.DEFAULT) + ); + } + + @Setup(Level.Trial) + public void setup() + { + final String schemaName = "basic"; + + BenchmarkSchemaInfo schemaInfo = BenchmarkSchemas.SCHEMA_MAP.get(schemaName); + + Map<DataSegment, QueryableIndex> queryableIndexes = new HashMap<>(numServers); + + for (int i = 0; i < numServers; i++) { + + final DataSegment dataSegment = DataSegment.builder() + .dataSource(DATA_SOURCE) + .interval(schemaInfo.getDataInterval()) + .version("1") + .shardSpec(new LinearShardSpec(i)) + .build(); + final SegmentGenerator segmentGenerator = closer.register(new SegmentGenerator()); + log.info("Starting benchmark setup using cacheDir[%s], rows[%,d].", segmentGenerator.getCacheDir(), rowsPerSegment); + final QueryableIndex index = segmentGenerator.generate(dataSegment, schemaInfo, Granularities.NONE, rowsPerSegment); + queryableIndexes.put(dataSegment, index); + } + + final DruidProcessingConfig processingConfig = new DruidProcessingConfig() + { + @Override + public String getFormatString() + { + return null; + } + + @Override + public int intermediateComputeSizeBytes() + { + return 10 * 1024 * 1024; + } + + @Override + public int getNumMergeBuffers() + { + // Need 3 buffers for CalciteQueryTest.testDoubleNestedGroupby. + // Two buffers for the broker and one for the queryable + return 3; + } + + @Override + public int getNumThreads() + { + return numProcessingThreads; + } + }; + + conglomerate = new DefaultQueryRunnerFactoryConglomerate( + ImmutableMap.<Class<? extends Query>, QueryRunnerFactory>builder() + .put( + TimeseriesQuery.class, + new TimeseriesQueryRunnerFactory( + new TimeseriesQueryQueryToolChest( + QueryRunnerTestHelper.noopIntervalChunkingQueryRunnerDecorator() + ), + new TimeseriesQueryEngine(), + QueryRunnerTestHelper.NOOP_QUERYWATCHER + ) + ) + .put( + TopNQuery.class, + new TopNQueryRunnerFactory( + new StupidPool<>( + "TopNQueryRunnerFactory-bufferPool", + () -> ByteBuffer.allocate(10 * 1024 * 1024) Review comment: Please extract this `10 * 1024 * 1024` together with the one above in the code if they have to be equal or as different constants if they don't have to be equal and comment about that. ---------------------------------------------------------------- This is an automated message from the Apache Git Service. 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