io.druid.benchmark.indexing.IndexIngestionBenchmark Maven / Gradle / Ivy

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/*
 * 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.indexing;

import com.google.common.hash.Hashing;
import com.metamx.common.logger.Logger;
import io.druid.benchmark.datagen.BenchmarkDataGenerator;
import io.druid.benchmark.datagen.BenchmarkSchemaInfo;
import io.druid.benchmark.datagen.BenchmarkSchemas;
import io.druid.data.input.InputRow;
import io.druid.data.input.impl.DimensionsSpec;
import io.druid.granularity.QueryGranularities;

import io.druid.query.aggregation.hyperloglog.HyperUniquesSerde;
import io.druid.segment.incremental.IncrementalIndex;
import io.druid.segment.incremental.IncrementalIndexSchema;
import io.druid.segment.incremental.OnheapIncrementalIndex;
import io.druid.segment.serde.ComplexMetrics;
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.Warmup;
import org.openjdk.jmh.infra.Blackhole;

import java.io.IOException;
import java.util.ArrayList;
import java.util.concurrent.TimeUnit;

@State(Scope.Benchmark)
@Fork(jvmArgsPrepend = "-server", value = 1)
@Warmup(iterations = 10)
@Measurement(iterations = 25)
public class IndexIngestionBenchmark
{
  @Param({"75000"})
  private int rowsPerSegment;

  @Param({"basic"})
  private String schema;

  @Param({"true", "false"})
  private boolean rollup;

  private static final Logger log = new Logger(IndexIngestionBenchmark.class);
  private static final int RNG_SEED = 9999;

  private IncrementalIndex incIndex;
  private ArrayList rows;
  private BenchmarkSchemaInfo schemaInfo;

  @Setup
  public void setup() throws IOException
  {
    ComplexMetrics.registerSerde("hyperUnique", new HyperUniquesSerde(Hashing.murmur3_128()));

    rows = new ArrayList();
    schemaInfo = BenchmarkSchemas.SCHEMA_MAP.get(schema);

    BenchmarkDataGenerator gen = new BenchmarkDataGenerator(
        schemaInfo.getColumnSchemas(),
        RNG_SEED,
        schemaInfo.getDataInterval(),
        rowsPerSegment
    );

    for (int i = 0; i < rowsPerSegment; i++) {
      InputRow row = gen.nextRow();
      if (i % 10000 == 0) {
        log.info(i + " rows generated.");
      }
      rows.add(row);
    }
  }

  @Setup(Level.Invocation)
  public void setup2() throws IOException
  {
    incIndex = makeIncIndex();
  }

  private IncrementalIndex makeIncIndex()
  {
    return new OnheapIncrementalIndex(
        new IncrementalIndexSchema.Builder()
            .withQueryGranularity(QueryGranularities.NONE)
            .withMetrics(schemaInfo.getAggsArray())
            .withDimensionsSpec(new DimensionsSpec(null, null, null))
            .withRollup(rollup)
            .build(),
        true,
        false,
        true,
        rowsPerSegment * 2
    );
  }

  @Benchmark
  @BenchmarkMode(Mode.AverageTime)
  @OutputTimeUnit(TimeUnit.MICROSECONDS)
  public void addRows(Blackhole blackhole) throws Exception
  {
    for (int i = 0; i < rowsPerSegment; i++) {
      InputRow row = rows.get(i);
      int rv = incIndex.add(row);
      blackhole.consume(rv);
    }
  }
}