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Support Long/Float dimensions with generic dimension handling interface
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benchmarks/src/main/java/io/druid/benchmark/IndexedIntsWrappingBenchmark.java
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benchmarks/src/main/java/io/druid/benchmark/QueryableIndexLoadingBenchmark.java
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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. | ||
*/ | ||
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package io.druid.benchmark; | ||
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import com.fasterxml.jackson.databind.ObjectMapper; | ||
import com.google.common.collect.ImmutableMap; | ||
import com.google.common.collect.Lists; | ||
import com.google.common.primitives.Ints; | ||
import com.metamx.common.guava.Sequence; | ||
import com.metamx.common.guava.Sequences; | ||
import io.druid.data.input.InputRow; | ||
import io.druid.data.input.MapBasedInputRow; | ||
import io.druid.granularity.QueryGranularity; | ||
import io.druid.jackson.DefaultObjectMapper; | ||
import io.druid.query.aggregation.AggregatorFactory; | ||
import io.druid.query.aggregation.CountAggregatorFactory; | ||
import io.druid.query.aggregation.DoubleSumAggregatorFactory; | ||
import io.druid.query.aggregation.LongSumAggregatorFactory; | ||
import io.druid.query.dimension.DefaultDimensionSpec; | ||
import io.druid.segment.Cursor; | ||
import io.druid.segment.DimensionSelector; | ||
import io.druid.segment.IndexIO; | ||
import io.druid.segment.IndexMergerV9; | ||
import io.druid.segment.IndexSpec; | ||
import io.druid.segment.QueryableIndex; | ||
import io.druid.segment.QueryableIndexStorageAdapter; | ||
import io.druid.segment.StorageAdapter; | ||
import io.druid.segment.column.ColumnConfig; | ||
import io.druid.segment.data.IndexedInts; | ||
import io.druid.segment.incremental.IncrementalIndex; | ||
import io.druid.segment.incremental.OnheapIncrementalIndex; | ||
import org.joda.time.Interval; | ||
import org.openjdk.jmh.annotations.Benchmark; | ||
import org.openjdk.jmh.annotations.BenchmarkMode; | ||
import org.openjdk.jmh.annotations.Level; | ||
import org.openjdk.jmh.annotations.Mode; | ||
import org.openjdk.jmh.annotations.OperationsPerInvocation; | ||
import org.openjdk.jmh.annotations.OutputTimeUnit; | ||
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.infra.Blackhole; | ||
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import java.io.File; | ||
import java.io.IOException; | ||
import java.util.ArrayList; | ||
import java.util.Iterator; | ||
import java.util.List; | ||
import java.util.Random; | ||
import java.util.concurrent.TimeUnit; | ||
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@State(Scope.Thread) | ||
public class QueryableIndexLoadingBenchmark | ||
{ | ||
private class IndexedIntsDimensionSelectorRow implements Iterable<Comparable> | ||
{ | ||
private final IndexedInts delegate; | ||
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public IndexedIntsDimensionSelectorRow(IndexedInts delegate) | ||
{ | ||
this.delegate = delegate; | ||
} | ||
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public Iterator iterator() | ||
{ | ||
return delegate.iterator(); | ||
} | ||
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public int size() | ||
{ | ||
return delegate.size(); | ||
} | ||
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public Comparable get(int index) | ||
{ | ||
return delegate.get(index); | ||
} | ||
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public IndexedInts getDelegate() | ||
{ | ||
return delegate; | ||
} | ||
} | ||
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static final int ROW_SIZE = 64; | ||
static final int MAX_ROWS = 250000; | ||
static final int MAX_VALUE = 20000; | ||
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private static final IndexMergerV9 INDEX_MERGER_V9; | ||
private static final IndexIO INDEX_IO; | ||
public static final ObjectMapper JSON_MAPPER; | ||
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private QueryableIndex qIndex; | ||
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private static AggregatorFactory[] AGGS; | ||
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private Random rng; | ||
private Random rng2; | ||
private File tmpFile; | ||
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private StorageAdapter qAdapter; | ||
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private boolean initialized = false; | ||
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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); | ||
} | ||
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static { | ||
final ArrayList<AggregatorFactory> ingestAggregatorFactories = new ArrayList<>(ROW_SIZE + 1); | ||
ingestAggregatorFactories.add(new CountAggregatorFactory("rows")); | ||
for (int i = 0; i < ROW_SIZE; ++i) { | ||
if (i % 2 != 0) { | ||
continue; | ||
} | ||
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ingestAggregatorFactories.add( | ||
new LongSumAggregatorFactory( | ||
String.format("sumResult%s", i), | ||
String.format("Dim_%s", i) | ||
) | ||
); | ||
ingestAggregatorFactories.add( | ||
new DoubleSumAggregatorFactory( | ||
String.format("doubleSumResult%s", i), | ||
String.format("Dim_%s", i) | ||
) | ||
); | ||
} | ||
AGGS = ingestAggregatorFactories.toArray(new AggregatorFactory[0]); | ||
} | ||
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@Setup | ||
public void setup() throws IOException | ||
{ | ||
if(initialized) { | ||
return; | ||
} | ||
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rng = new Random(9999); | ||
rng2 = new Random(9999); | ||
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IncrementalIndex index = makeIncIndex(); | ||
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File tmpFile = File.createTempFile("IndexedIntsWrappingBenchmark-INDEX-", String.valueOf(rng.nextInt(10))); | ||
tmpFile.delete(); | ||
tmpFile.mkdirs(); | ||
System.out.println(tmpFile.getAbsolutePath() + " isFile: " + tmpFile.isFile() + " isDir:" + tmpFile.isDirectory()); | ||
tmpFile.deleteOnExit(); | ||
File indexFile = INDEX_MERGER_V9.persist( | ||
index, | ||
tmpFile, | ||
new IndexSpec() | ||
); | ||
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index.close(); | ||
index = null; | ||
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// Uncomment this to use a fixed location. | ||
//File indexFile = new File("/Users/user/bench_index/64dim_card20000"); | ||
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if (qIndex != null) { | ||
qIndex.close(); | ||
} | ||
qIndex = makeQueryableIndexFromFile(indexFile); | ||
qAdapter = new QueryableIndexStorageAdapter(qIndex); | ||
initialized = true; | ||
} | ||
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private IncrementalIndex makeIncIndex() throws IOException | ||
{ | ||
IncrementalIndex index = new OnheapIncrementalIndex( | ||
0, | ||
QueryGranularity.NONE, | ||
AGGS, | ||
false, | ||
true, | ||
true, | ||
MAX_ROWS | ||
); | ||
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for (int i = 0; i < MAX_ROWS; i++) { | ||
InputRow row = getStringRow(5L, i, ROW_SIZE); | ||
index.add(row); | ||
} | ||
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return index; | ||
} | ||
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private QueryableIndex makeQueryableIndex(IncrementalIndex incIndex) throws IOException | ||
{ | ||
QueryableIndex index = | ||
INDEX_IO.loadIndex( | ||
INDEX_MERGER_V9.persist( | ||
incIndex, | ||
tmpFile, | ||
new IndexSpec() | ||
) | ||
); | ||
return index; | ||
} | ||
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private QueryableIndex makeQueryableIndexFromFile(File file) throws IOException | ||
{ | ||
QueryableIndex index = | ||
INDEX_IO.loadIndex(file); | ||
return index; | ||
} | ||
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private MapBasedInputRow getStringRow(long timestamp, int rowID, int dimensionCount) | ||
{ | ||
List<String> dimensionList = new ArrayList<String>(dimensionCount); | ||
ImmutableMap.Builder<String, Object> builder = ImmutableMap.builder(); | ||
for (int i = 0; i < dimensionCount; i++) { | ||
String dimName = String.format("Dim_%d", i); | ||
dimensionList.add(dimName); | ||
builder.put(dimName, String.valueOf(rng2.nextInt(MAX_VALUE))); | ||
} | ||
return new MapBasedInputRow(timestamp, dimensionList, builder.build()); | ||
} | ||
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@Benchmark | ||
@BenchmarkMode(Mode.AverageTime) | ||
@OutputTimeUnit(TimeUnit.MICROSECONDS) | ||
@OperationsPerInvocation(MAX_ROWS) | ||
public void AloadQIndex(Blackhole blackhole) throws Exception | ||
{ | ||
int sum = 0; | ||
Sequence<Cursor> qCursors = qAdapter.makeCursors(null, new Interval(0L, 10L), QueryGranularity.NONE, false); | ||
Cursor qCursor = Sequences.toList(Sequences.limit(qCursors, 1), Lists.<Cursor>newArrayList()).get(0); | ||
qCursor.reset(); | ||
List<DimensionSelector> qSelectors = new ArrayList<>(); | ||
for (int i = 0; i < ROW_SIZE; i++) { | ||
String dimName = String.format("Dim_%s", i); | ||
qSelectors.add(qCursor.makeDimensionSelector(new DefaultDimensionSpec(dimName, dimName))); | ||
} | ||
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for (int i = 0; i < MAX_ROWS; i++) { | ||
for (int j = 0; j < ROW_SIZE; j++) { | ||
IndexedInts row = qSelectors.get(j).getRow(); | ||
for (int val : row) { | ||
sum += val; | ||
blackhole.consume(val); | ||
} | ||
} | ||
qCursor.advance(); | ||
} | ||
blackhole.consume(sum); | ||
} | ||
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@Benchmark | ||
@BenchmarkMode(Mode.AverageTime) | ||
@OutputTimeUnit(TimeUnit.MICROSECONDS) | ||
@OperationsPerInvocation(MAX_ROWS) | ||
public void loadQIndexWrap(Blackhole blackhole) throws Exception | ||
{ | ||
int sum = 0; | ||
Sequence<Cursor> qCursors = qAdapter.makeCursors(null, new Interval(0L, 10L), QueryGranularity.NONE, false); | ||
Cursor qCursor = Sequences.toList(Sequences.limit(qCursors, 1), Lists.<Cursor>newArrayList()).get(0); | ||
qCursor.reset(); | ||
List<DimensionSelector> qSelectors = new ArrayList<>(); | ||
for (int i = 0; i < ROW_SIZE; i++) { | ||
String dimName = String.format("Dim_%s", i); | ||
qSelectors.add(qCursor.makeDimensionSelector(new DefaultDimensionSpec(dimName, dimName))); | ||
} | ||
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for (int i = 0; i < MAX_ROWS; i++) { | ||
for (int j = 0; j < ROW_SIZE; j++) { | ||
IndexedInts row = qSelectors.get(j).getRow(); | ||
IndexedIntsDimensionSelectorRow dsRow = new IndexedIntsDimensionSelectorRow(row); | ||
for (Comparable val : dsRow) { | ||
sum += (Integer) val; | ||
blackhole.consume(val); | ||
} | ||
} | ||
qCursor.advance(); | ||
} | ||
blackhole.consume(sum); | ||
} | ||
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} |
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