[GitHub] jon-wei commented on a change in pull request #6986: Create Scan Benchmark

[GitBox <gi...@apache.org>]

jon-wei commented on a change in pull request #6986: Create Scan Benchmark
URL: https://github.com/apache/incubator-druid/pull/6986#discussion_r253717227
 
 

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 File path: benchmarks/src/main/java/org/apache/druid/benchmark/query/ScanBenchmark.java
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+/*
+ * 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.ObjectMapper;
+import com.google.common.collect.ImmutableList;
+import com.google.common.io.Files;
+import org.apache.commons.io.FileUtils;
+import org.apache.druid.benchmark.datagen.BenchmarkDataGenerator;
+import org.apache.druid.benchmark.datagen.BenchmarkSchemaInfo;
+import org.apache.druid.benchmark.datagen.BenchmarkSchemas;
+import org.apache.druid.data.input.InputRow;
+import org.apache.druid.data.input.Row;
+import org.apache.druid.hll.HyperLogLogHash;
+import org.apache.druid.jackson.DefaultObjectMapper;
+import org.apache.druid.java.util.common.concurrent.Execs;
+import org.apache.druid.java.util.common.guava.Sequence;
+import org.apache.druid.java.util.common.logger.Logger;
+import org.apache.druid.query.DefaultGenericQueryMetricsFactory;
+import org.apache.druid.query.Druids;
+import org.apache.druid.query.FinalizeResultsQueryRunner;
+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.QueryToolChest;
+import org.apache.druid.query.Result;
+import org.apache.druid.query.aggregation.hyperloglog.HyperUniquesSerde;
+import org.apache.druid.query.extraction.StrlenExtractionFn;
+import org.apache.druid.query.filter.BoundDimFilter;
+import org.apache.druid.query.filter.DimFilter;
+import org.apache.druid.query.filter.InDimFilter;
+import org.apache.druid.query.filter.SelectorDimFilter;
+import org.apache.druid.query.scan.ScanQuery;
+import org.apache.druid.query.scan.ScanQueryConfig;
+import org.apache.druid.query.scan.ScanQueryEngine;
+import org.apache.druid.query.scan.ScanQueryQueryToolChest;
+import org.apache.druid.query.scan.ScanQueryRunnerFactory;
+import org.apache.druid.query.scan.ScanResultValue;
+import org.apache.druid.query.spec.MultipleIntervalSegmentSpec;
+import org.apache.druid.query.spec.QuerySegmentSpec;
+import org.apache.druid.segment.IncrementalIndexSegment;
+import org.apache.druid.segment.IndexIO;
+import org.apache.druid.segment.IndexMergerV9;
+import org.apache.druid.segment.IndexSpec;
+import org.apache.druid.segment.QueryableIndex;
+import org.apache.druid.segment.QueryableIndexSegment;
+import org.apache.druid.segment.incremental.IncrementalIndex;
+import org.apache.druid.segment.serde.ComplexMetrics;
+import org.apache.druid.segment.writeout.OffHeapMemorySegmentWriteOutMediumFactory;
+import org.apache.druid.timeline.SegmentId;
+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.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;
+
+/* Works with 4GB heap size or greater.  Otherwise there's a good chance of an OOME. */
+@State(Scope.Benchmark)
+@Fork(value = 1)
+@Warmup(iterations = 5)
+@Measurement(iterations = 5)
+public class ScanBenchmark
+{
+  @Param({"1", "4"})
+  private int numSegments;
+
+  @Param({"1", "2"})
+  private int numProcessingThreads;
+
+  @Param({"250000"})
+  private int rowsPerSegment;
+
+  @Param({"basic.A"})
+  private String schemaAndQuery;
+
+  @Param({"1000"})
+  private int limit;
+
+  private static final Logger log = new Logger(ScanBenchmark.class);
+  private static final ObjectMapper JSON_MAPPER;
+  private static final IndexMergerV9 INDEX_MERGER_V9;
+  private static final IndexIO INDEX_IO;
+
+  private List<IncrementalIndex> incIndexes;
+  private List<QueryableIndex> qIndexes;
+
+  private QueryRunnerFactory factory;
+  private BenchmarkSchemaInfo schemaInfo;
+  private Druids.ScanQueryBuilder queryBuilder;
+  private ScanQuery query;
+  private File tmpDir;
+
+  private ExecutorService executorService;
+
+  static {
+    JSON_MAPPER = new DefaultObjectMapper();
+    INDEX_IO = new IndexIO(
+        JSON_MAPPER,
+        () -> 0
+    );
+    INDEX_MERGER_V9 = new IndexMergerV9(JSON_MAPPER, INDEX_IO, OffHeapMemorySegmentWriteOutMediumFactory.instance());
+  }
+
+  private static final Map<String, Map<String, Druids.ScanQueryBuilder>> SCHEMA_QUERY_MAP = new LinkedHashMap<>();
+
+  private void setupQueries()
+  {
+    // queries for the basic schema
+    final Map<String, Druids.ScanQueryBuilder> basicQueries = new LinkedHashMap<>();
+    final BenchmarkSchemaInfo basicSchema = BenchmarkSchemas.SCHEMA_MAP.get("basic");
+
+    final List<String> queryTypes = ImmutableList.of("A", "B", "C", "D");
+    for (final String eachType : queryTypes) {
+      basicQueries.put(eachType, makeQuery(eachType, basicSchema));
+    }
+
+    SCHEMA_QUERY_MAP.put("basic", basicQueries);
+  }
+
+  private static Druids.ScanQueryBuilder makeQuery(final String name, final BenchmarkSchemaInfo basicSchema)
+  {
+    switch (name) {
+      case "A":
+        return basicA(basicSchema);
+      case "B":
+        return basicB(basicSchema);
+      case "C":
+        return basicC(basicSchema);
+      case "D":
+        return basicD(basicSchema);
+      default:
+        return null;
+    }
+  }
+
+  /* Just get everything */
+  private static Druids.ScanQueryBuilder basicA(final BenchmarkSchemaInfo basicSchema)
+  {
+    final QuerySegmentSpec intervalSpec = new MultipleIntervalSegmentSpec(Collections.singletonList(basicSchema.getDataInterval()));
+
+    return Druids.newScanQueryBuilder()
+                 .dataSource("blah")
+                 .intervals(intervalSpec);
+
+  }
+
+  private static Druids.ScanQueryBuilder basicB(final BenchmarkSchemaInfo basicSchema)
+  {
+    final QuerySegmentSpec intervalSpec = new MultipleIntervalSegmentSpec(Collections.singletonList(basicSchema.getDataInterval()));
+
+    final List<String> dimUniformFilterVals = new ArrayList<>();
+    int resultNum = (int) (100000 * 0.1);
+    int step = 100000 / resultNum;
+    for (int i = 1; i < 100001 && dimUniformFilterVals.size() < resultNum; i += step) {
+      dimUniformFilterVals.add(String.valueOf(i));
+    }
+
+    List<String> dimHyperUniqueFilterVals = new ArrayList<>();
+    resultNum = (int) (100000 * 0.1);
+    step = 100000 / resultNum;
+    for (int i = 0; i < 100001 && dimHyperUniqueFilterVals.size() < resultNum; i += step) {
+      dimHyperUniqueFilterVals.add(String.valueOf(i));
+    }
+
+    DimFilter filter = new InDimFilter("dimHyperUnique", dimHyperUniqueFilterVals, null);
+
+    return Druids.newScanQueryBuilder()
+                 .filters(filter)
+                 .intervals(intervalSpec);
+  }
+
+  private static Druids.ScanQueryBuilder basicC(final BenchmarkSchemaInfo basicSchema)
+  {
+    final QuerySegmentSpec intervalSpec = new MultipleIntervalSegmentSpec(Collections.singletonList(basicSchema.getDataInterval()));
+
+    final List<String> dimUniformFilterVals = new ArrayList<>();
 
 Review comment:
   dimUniformFilterVals is unused
   
   

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