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* 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
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package org.apache.flink.runtime.operators.util;
import org.apache.flink.api.common.functions.FlatJoinFunction;
import org.apache.flink.api.common.typeutils.GenericPairComparator;
import org.apache.flink.api.common.typeutils.TypeComparator;
import org.apache.flink.api.common.typeutils.TypePairComparator;
import org.apache.flink.api.common.typeutils.TypeSerializerFactory;
import org.apache.flink.api.java.tuple.Tuple2;
import org.apache.flink.core.memory.MemoryType;
import org.apache.flink.runtime.io.disk.iomanager.IOManager;
import org.apache.flink.runtime.io.disk.iomanager.IOManagerAsync;
import org.apache.flink.runtime.jobgraph.tasks.AbstractInvokable;
import org.apache.flink.runtime.memory.MemoryManager;
import org.apache.flink.runtime.operators.hash.ReusingBuildFirstHashJoinIterator;
import org.apache.flink.runtime.operators.hash.ReusingBuildSecondHashJoinIterator;
import org.apache.flink.runtime.operators.sort.ReusingMergeInnerJoinIterator;
import org.apache.flink.runtime.operators.sort.UnilateralSortMerger;
import org.apache.flink.runtime.operators.testutils.DiscardingOutputCollector;
import org.apache.flink.runtime.operators.testutils.DummyInvokable;
import org.apache.flink.runtime.operators.testutils.TestData;
import org.apache.flink.runtime.operators.testutils.TestData.TupleGenerator.KeyMode;
import org.apache.flink.runtime.operators.testutils.TestData.TupleGenerator.ValueMode;
import org.apache.flink.util.Collector;
import org.apache.flink.util.MutableObjectIterator;
import org.junit.After;
import org.junit.Assert;
import org.junit.Before;
import org.junit.Test;
@SuppressWarnings("deprecation")
public class HashVsSortMiniBenchmark {
// total memory
private static final int MEMORY_SIZE = 1024 * 1024 * 32;
private static final int PAGE_SIZE = 32 * 1024;
private static final int MEMORY_PAGES_FOR_MERGE = 10;
private static final int MEMORY_FOR_SORTER = (MEMORY_SIZE - PAGE_SIZE * MEMORY_PAGES_FOR_MERGE) / 2;
// the size of the left and right inputs
private static final int INPUT_1_SIZE = 2000000;
private static final int INPUT_2_SIZE = 100000;
// random seeds for the left and right input data generators
private static final long SEED1 = 561349061987311L;
private static final long SEED2 = 231434613412342L;
// dummy abstract task
private final AbstractInvokable parentTask = new DummyInvokable();
// memory and io manager
private IOManager ioManager;
private MemoryManager memoryManager;
private TypeSerializerFactory<Tuple2<Integer, String>> serializer1;
private TypeSerializerFactory<Tuple2<Integer, String>> serializer2;
private TypeComparator<Tuple2<Integer, String>> comparator1;
private TypeComparator<Tuple2<Integer, String>> comparator2;
private TypePairComparator<Tuple2<Integer, String>, Tuple2<Integer, String>> pairComparator11;
@SuppressWarnings("unchecked")
@Before
public void beforeTest() {
this.serializer1 = TestData.getIntStringTupleSerializerFactory();
this.serializer2 = TestData.getIntStringTupleSerializerFactory();
this.comparator1 = TestData.getIntStringTupleComparator();
this.comparator2 = TestData.getIntStringTupleComparator();
this.pairComparator11 = new GenericPairComparator(this.comparator1, this.comparator2);
this.memoryManager = new MemoryManager(MEMORY_SIZE, 1, PAGE_SIZE, MemoryType.HEAP, true);
this.ioManager = new IOManagerAsync();
}
@After
public void afterTest() {
if (this.memoryManager != null) {
Assert.assertTrue("Memory Leak: Not all memory has been returned to the memory manager.",
this.memoryManager.verifyEmpty());
this.memoryManager.shutdown();
this.memoryManager = null;
}
if (this.ioManager != null) {
this.ioManager.shutdown();
if (!this.ioManager.isProperlyShutDown()) {
Assert.fail("I/O manager failed to properly shut down.");
}
this.ioManager = null;
}
}
@Test
public void testSortBothMerge() {
try {
TestData.TupleGenerator generator1 = new TestData.TupleGenerator(SEED1, INPUT_1_SIZE / 10, 100, KeyMode.RANDOM, ValueMode.RANDOM_LENGTH);
TestData.TupleGenerator generator2 = new TestData.TupleGenerator(SEED2, INPUT_2_SIZE, 100, KeyMode.RANDOM, ValueMode.RANDOM_LENGTH);
final TestData.TupleGeneratorIterator input1 = new TestData.TupleGeneratorIterator(generator1, INPUT_1_SIZE);
final TestData.TupleGeneratorIterator input2 = new TestData.TupleGeneratorIterator(generator2, INPUT_2_SIZE);
final FlatJoinFunction matcher = new NoOpMatcher();
final Collector<Tuple2<Integer, String>> collector = new DiscardingOutputCollector<>();
long start = System.nanoTime();
final UnilateralSortMerger<Tuple2<Integer, String>> sorter1 = new UnilateralSortMerger<>(
this.memoryManager, this.ioManager, input1, this.parentTask, this.serializer1,
this.comparator1.duplicate(), (double)MEMORY_FOR_SORTER/MEMORY_SIZE, 128, 0.8f,
true /*use large record handler*/, true);
final UnilateralSortMerger<Tuple2<Integer, String>> sorter2 = new UnilateralSortMerger<>(
this.memoryManager, this.ioManager, input2, this.parentTask, this.serializer2,
this.comparator2.duplicate(), (double)MEMORY_FOR_SORTER/MEMORY_SIZE, 128, 0.8f,
true /*use large record handler*/, true);
final MutableObjectIterator<Tuple2<Integer, String>> sortedInput1 = sorter1.getIterator();
final MutableObjectIterator<Tuple2<Integer, String>> sortedInput2 = sorter2.getIterator();
// compare with iterator values
ReusingMergeInnerJoinIterator<Tuple2<Integer, String>, Tuple2<Integer, String>, Tuple2<Integer, String>> iterator =
new ReusingMergeInnerJoinIterator<>(sortedInput1, sortedInput2,
this.serializer1.getSerializer(), this.comparator1, this.serializer2.getSerializer(), this.comparator2, this.pairComparator11,
this.memoryManager, this.ioManager, MEMORY_PAGES_FOR_MERGE, this.parentTask);
iterator.open();
while (iterator.callWithNextKey(matcher, collector));
iterator.close();
sorter1.close();
sorter2.close();
long elapsed = System.nanoTime() - start;
double msecs = elapsed / (1000 * 1000);
System.out.println("Sort-Merge Took " + msecs + " msecs.");
}
catch (Exception e) {
e.printStackTrace();
Assert.fail("An exception occurred during the test: " + e.getMessage());
}
}
@Test
public void testBuildFirst() {
try {
TestData.TupleGenerator generator1 = new TestData.TupleGenerator(SEED1, INPUT_1_SIZE / 10, 100, KeyMode.RANDOM, ValueMode.RANDOM_LENGTH);
TestData.TupleGenerator generator2 = new TestData.TupleGenerator(SEED2, INPUT_2_SIZE, 100, KeyMode.RANDOM, ValueMode.RANDOM_LENGTH);
final TestData.TupleGeneratorIterator input1 = new TestData.TupleGeneratorIterator(generator1, INPUT_1_SIZE);
final TestData.TupleGeneratorIterator input2 = new TestData.TupleGeneratorIterator(generator2, INPUT_2_SIZE);
final FlatJoinFunction matcher = new NoOpMatcher();
final Collector<Tuple2<Integer, String>> collector = new DiscardingOutputCollector<>();
long start = System.nanoTime();
// compare with iterator values
final ReusingBuildFirstHashJoinIterator<Tuple2<Integer, String>, Tuple2<Integer, String>, Tuple2<Integer, String>> iterator =
new ReusingBuildFirstHashJoinIterator<>(
input1, input2, this.serializer1.getSerializer(), this.comparator1,
this.serializer2.getSerializer(), this.comparator2, this.pairComparator11,
this.memoryManager, this.ioManager, this.parentTask, 1, false, false, true);
iterator.open();
while (iterator.callWithNextKey(matcher, collector));
iterator.close();
long elapsed = System.nanoTime() - start;
double msecs = elapsed / (1000 * 1000);
System.out.println("Hash Build First Took " + msecs + " msecs.");
}
catch (Exception e) {
e.printStackTrace();
Assert.fail("An exception occurred during the test: " + e.getMessage());
}
}
@Test
public void testBuildSecond() {
try {
TestData.TupleGenerator generator1 = new TestData.TupleGenerator(SEED1, INPUT_1_SIZE / 10, 100, KeyMode.RANDOM, ValueMode.RANDOM_LENGTH);
TestData.TupleGenerator generator2 = new TestData.TupleGenerator(SEED2, INPUT_2_SIZE, 100, KeyMode.RANDOM, ValueMode.RANDOM_LENGTH);
final TestData.TupleGeneratorIterator input1 = new TestData.TupleGeneratorIterator(generator1, INPUT_1_SIZE);
final TestData.TupleGeneratorIterator input2 = new TestData.TupleGeneratorIterator(generator2, INPUT_2_SIZE);
final FlatJoinFunction matcher = new NoOpMatcher();
final Collector<Tuple2<Integer, String>> collector = new DiscardingOutputCollector<>();
long start = System.nanoTime();
// compare with iterator values
ReusingBuildSecondHashJoinIterator<Tuple2<Integer, String>, Tuple2<Integer, String>, Tuple2<Integer, String>> iterator =
new ReusingBuildSecondHashJoinIterator<>(
input1, input2, this.serializer1.getSerializer(), this.comparator1,
this.serializer2.getSerializer(), this.comparator2, this.pairComparator11,
this.memoryManager, this.ioManager, this.parentTask, 1, false, false, true);
iterator.open();
while (iterator.callWithNextKey(matcher, collector));
iterator.close();
long elapsed = System.nanoTime() - start;
double msecs = elapsed / (1000 * 1000);
System.out.println("Hash Build Second took " + msecs + " msecs.");
}
catch (Exception e) {
e.printStackTrace();
Assert.fail("An exception occurred during the test: " + e.getMessage());
}
}
private static final class NoOpMatcher implements FlatJoinFunction<Tuple2<Integer, String>, Tuple2<Integer, String>, Tuple2<Integer, String>> {
private static final long serialVersionUID = 1L;
@Override
public void join(Tuple2<Integer, String> rec1, Tuple2<Integer, String> rec2, Collector<Tuple2<Integer, String>> out) throws Exception {
}
}
}