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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.spark.shuffle.sort;
import java.io.*;
import java.nio.ByteBuffer;
import java.util.*;
import scala.*;
import scala.collection.Iterator;
import scala.runtime.AbstractFunction1;
import com.google.common.collect.Iterators;
import com.google.common.collect.HashMultiset;
import com.google.common.io.ByteStreams;
import org.junit.After;
import org.junit.Before;
import org.junit.Test;
import org.mockito.Mock;
import org.mockito.MockitoAnnotations;
import org.mockito.invocation.InvocationOnMock;
import org.mockito.stubbing.Answer;
import static org.hamcrest.MatcherAssert.assertThat;
import static org.hamcrest.Matchers.greaterThan;
import static org.hamcrest.Matchers.lessThan;
import static org.junit.Assert.*;
import static org.mockito.Answers.RETURNS_SMART_NULLS;
import static org.mockito.Mockito.*;
import org.apache.spark.*;
import org.apache.spark.io.CompressionCodec$;
import org.apache.spark.io.LZ4CompressionCodec;
import org.apache.spark.io.LZFCompressionCodec;
import org.apache.spark.io.SnappyCompressionCodec;
import org.apache.spark.executor.ShuffleWriteMetrics;
import org.apache.spark.executor.TaskMetrics;
import org.apache.spark.network.util.LimitedInputStream;
import org.apache.spark.serializer.*;
import org.apache.spark.scheduler.MapStatus;
import org.apache.spark.shuffle.IndexShuffleBlockResolver;
import org.apache.spark.storage.*;
import org.apache.spark.memory.TestMemoryManager;
import org.apache.spark.memory.TaskMemoryManager;
import org.apache.spark.util.Utils;
public class UnsafeShuffleWriterSuite {
static final int NUM_PARTITITONS = 4;
TestMemoryManager memoryManager;
TaskMemoryManager taskMemoryManager;
final HashPartitioner hashPartitioner = new HashPartitioner(NUM_PARTITITONS);
File mergedOutputFile;
File tempDir;
long[] partitionSizesInMergedFile;
final LinkedList<File> spillFilesCreated = new LinkedList<>();
SparkConf conf;
final Serializer serializer = new KryoSerializer(new SparkConf());
TaskMetrics taskMetrics;
@Mock(answer = RETURNS_SMART_NULLS) BlockManager blockManager;
@Mock(answer = RETURNS_SMART_NULLS) IndexShuffleBlockResolver shuffleBlockResolver;
@Mock(answer = RETURNS_SMART_NULLS) DiskBlockManager diskBlockManager;
@Mock(answer = RETURNS_SMART_NULLS) TaskContext taskContext;
@Mock(answer = RETURNS_SMART_NULLS) ShuffleDependency<Object, Object, Object> shuffleDep;
private final class CompressStream extends AbstractFunction1<OutputStream, OutputStream> {
@Override
public OutputStream apply(OutputStream stream) {
if (conf.getBoolean("spark.shuffle.compress", true)) {
return CompressionCodec$.MODULE$.createCodec(conf).compressedOutputStream(stream);
} else {
return stream;
}
}
}
@After
public void tearDown() {
Utils.deleteRecursively(tempDir);
final long leakedMemory = taskMemoryManager.cleanUpAllAllocatedMemory();
if (leakedMemory != 0) {
fail("Test leaked " + leakedMemory + " bytes of managed memory");
}
}
@Before
@SuppressWarnings("unchecked")
public void setUp() throws IOException {
MockitoAnnotations.initMocks(this);
tempDir = Utils.createTempDir("test", "test");
mergedOutputFile = File.createTempFile("mergedoutput", "", tempDir);
partitionSizesInMergedFile = null;
spillFilesCreated.clear();
conf = new SparkConf()
.set("spark.buffer.pageSize", "1m")
.set("spark.memory.offHeap.enabled", "false");
taskMetrics = new TaskMetrics();
memoryManager = new TestMemoryManager(conf);
taskMemoryManager = new TaskMemoryManager(memoryManager, 0);
when(blockManager.diskBlockManager()).thenReturn(diskBlockManager);
when(blockManager.getDiskWriter(
any(BlockId.class),
any(File.class),
any(SerializerInstance.class),
anyInt(),
any(ShuffleWriteMetrics.class))).thenAnswer(new Answer<DiskBlockObjectWriter>() {
@Override
public DiskBlockObjectWriter answer(InvocationOnMock invocationOnMock) throws Throwable {
Object[] args = invocationOnMock.getArguments();
return new DiskBlockObjectWriter(
(File) args[1],
(SerializerInstance) args[2],
(Integer) args[3],
new CompressStream(),
false,
(ShuffleWriteMetrics) args[4],
(BlockId) args[0]
);
}
});
when(blockManager.wrapForCompression(any(BlockId.class), any(InputStream.class))).thenAnswer(
new Answer<InputStream>() {
@Override
public InputStream answer(InvocationOnMock invocation) throws Throwable {
assertTrue(invocation.getArguments()[0] instanceof TempShuffleBlockId);
InputStream is = (InputStream) invocation.getArguments()[1];
if (conf.getBoolean("spark.shuffle.compress", true)) {
return CompressionCodec$.MODULE$.createCodec(conf).compressedInputStream(is);
} else {
return is;
}
}
}
);
when(blockManager.wrapForCompression(any(BlockId.class), any(OutputStream.class))).thenAnswer(
new Answer<OutputStream>() {
@Override
public OutputStream answer(InvocationOnMock invocation) throws Throwable {
assertTrue(invocation.getArguments()[0] instanceof TempShuffleBlockId);
OutputStream os = (OutputStream) invocation.getArguments()[1];
if (conf.getBoolean("spark.shuffle.compress", true)) {
return CompressionCodec$.MODULE$.createCodec(conf).compressedOutputStream(os);
} else {
return os;
}
}
}
);
when(shuffleBlockResolver.getDataFile(anyInt(), anyInt())).thenReturn(mergedOutputFile);
doAnswer(new Answer<Void>() {
@Override
public Void answer(InvocationOnMock invocationOnMock) throws Throwable {
partitionSizesInMergedFile = (long[]) invocationOnMock.getArguments()[2];
File tmp = (File) invocationOnMock.getArguments()[3];
mergedOutputFile.delete();
tmp.renameTo(mergedOutputFile);
return null;
}
}).when(shuffleBlockResolver)
.writeIndexFileAndCommit(anyInt(), anyInt(), any(long[].class), any(File.class));
when(diskBlockManager.createTempShuffleBlock()).thenAnswer(
new Answer<Tuple2<TempShuffleBlockId, File>>() {
@Override
public Tuple2<TempShuffleBlockId, File> answer(
InvocationOnMock invocationOnMock) throws Throwable {
TempShuffleBlockId blockId = new TempShuffleBlockId(UUID.randomUUID());
File file = File.createTempFile("spillFile", ".spill", tempDir);
spillFilesCreated.add(file);
return Tuple2$.MODULE$.apply(blockId, file);
}
});
when(taskContext.taskMetrics()).thenReturn(taskMetrics);
when(shuffleDep.serializer()).thenReturn(Option.<Serializer>apply(serializer));
when(shuffleDep.partitioner()).thenReturn(hashPartitioner);
}
private UnsafeShuffleWriter<Object, Object> createWriter(
boolean transferToEnabled) throws IOException {
conf.set("spark.file.transferTo", String.valueOf(transferToEnabled));
return new UnsafeShuffleWriter<Object, Object>(
blockManager,
shuffleBlockResolver,
taskMemoryManager,
new SerializedShuffleHandle<Object, Object>(0, 1, shuffleDep),
0, // map id
taskContext,
conf
);
}
private void assertSpillFilesWereCleanedUp() {
for (File spillFile : spillFilesCreated) {
assertFalse("Spill file " + spillFile.getPath() + " was not cleaned up",
spillFile.exists());
}
}
private List<Tuple2<Object, Object>> readRecordsFromFile() throws IOException {
final ArrayList<Tuple2<Object, Object>> recordsList = new ArrayList<>();
long startOffset = 0;
for (int i = 0; i < NUM_PARTITITONS; i++) {
final long partitionSize = partitionSizesInMergedFile[i];
if (partitionSize > 0) {
InputStream in = new FileInputStream(mergedOutputFile);
ByteStreams.skipFully(in, startOffset);
in = new LimitedInputStream(in, partitionSize);
if (conf.getBoolean("spark.shuffle.compress", true)) {
in = CompressionCodec$.MODULE$.createCodec(conf).compressedInputStream(in);
}
DeserializationStream recordsStream = serializer.newInstance().deserializeStream(in);
Iterator<Tuple2<Object, Object>> records = recordsStream.asKeyValueIterator();
while (records.hasNext()) {
Tuple2<Object, Object> record = records.next();
assertEquals(i, hashPartitioner.getPartition(record._1()));
recordsList.add(record);
}
recordsStream.close();
startOffset += partitionSize;
}
}
return recordsList;
}
@Test(expected=IllegalStateException.class)
public void mustCallWriteBeforeSuccessfulStop() throws IOException {
createWriter(false).stop(true);
}
@Test
public void doNotNeedToCallWriteBeforeUnsuccessfulStop() throws IOException {
createWriter(false).stop(false);
}
static class PandaException extends RuntimeException {
}
@Test(expected=PandaException.class)
public void writeFailurePropagates() throws Exception {
class BadRecords extends scala.collection.AbstractIterator<Product2<Object, Object>> {
@Override public boolean hasNext() {
throw new PandaException();
}
@Override public Product2<Object, Object> next() {
return null;
}
}
final UnsafeShuffleWriter<Object, Object> writer = createWriter(true);
writer.write(new BadRecords());
}
@Test
public void writeEmptyIterator() throws Exception {
final UnsafeShuffleWriter<Object, Object> writer = createWriter(true);
writer.write(Iterators.<Product2<Object, Object>>emptyIterator());
final Option<MapStatus> mapStatus = writer.stop(true);
assertTrue(mapStatus.isDefined());
assertTrue(mergedOutputFile.exists());
assertArrayEquals(new long[NUM_PARTITITONS], partitionSizesInMergedFile);
assertEquals(0, taskMetrics.shuffleWriteMetrics().get().recordsWritten());
assertEquals(0, taskMetrics.shuffleWriteMetrics().get().bytesWritten());
assertEquals(0, taskMetrics.diskBytesSpilled());
assertEquals(0, taskMetrics.memoryBytesSpilled());
}
@Test
public void writeWithoutSpilling() throws Exception {
// In this example, each partition should have exactly one record:
final ArrayList<Product2<Object, Object>> dataToWrite = new ArrayList<>();
for (int i = 0; i < NUM_PARTITITONS; i++) {
dataToWrite.add(new Tuple2<Object, Object>(i, i));
}
final UnsafeShuffleWriter<Object, Object> writer = createWriter(true);
writer.write(dataToWrite.iterator());
final Option<MapStatus> mapStatus = writer.stop(true);
assertTrue(mapStatus.isDefined());
assertTrue(mergedOutputFile.exists());
long sumOfPartitionSizes = 0;
for (long size: partitionSizesInMergedFile) {
// All partitions should be the same size:
assertEquals(partitionSizesInMergedFile[0], size);
sumOfPartitionSizes += size;
}
assertEquals(mergedOutputFile.length(), sumOfPartitionSizes);
assertEquals(
HashMultiset.create(dataToWrite),
HashMultiset.create(readRecordsFromFile()));
assertSpillFilesWereCleanedUp();
ShuffleWriteMetrics shuffleWriteMetrics = taskMetrics.shuffleWriteMetrics().get();
assertEquals(dataToWrite.size(), shuffleWriteMetrics.recordsWritten());
assertEquals(0, taskMetrics.diskBytesSpilled());
assertEquals(0, taskMetrics.memoryBytesSpilled());
assertEquals(mergedOutputFile.length(), shuffleWriteMetrics.bytesWritten());
}
private void testMergingSpills(
boolean transferToEnabled,
String compressionCodecName) throws IOException {
if (compressionCodecName != null) {
conf.set("spark.shuffle.compress", "true");
conf.set("spark.io.compression.codec", compressionCodecName);
} else {
conf.set("spark.shuffle.compress", "false");
}
final UnsafeShuffleWriter<Object, Object> writer = createWriter(transferToEnabled);
final ArrayList<Product2<Object, Object>> dataToWrite = new ArrayList<>();
for (int i : new int[] { 1, 2, 3, 4, 4, 2 }) {
dataToWrite.add(new Tuple2<Object, Object>(i, i));
}
writer.insertRecordIntoSorter(dataToWrite.get(0));
writer.insertRecordIntoSorter(dataToWrite.get(1));
writer.insertRecordIntoSorter(dataToWrite.get(2));
writer.insertRecordIntoSorter(dataToWrite.get(3));
writer.forceSorterToSpill();
writer.insertRecordIntoSorter(dataToWrite.get(4));
writer.insertRecordIntoSorter(dataToWrite.get(5));
writer.closeAndWriteOutput();
final Option<MapStatus> mapStatus = writer.stop(true);
assertTrue(mapStatus.isDefined());
assertTrue(mergedOutputFile.exists());
assertEquals(2, spillFilesCreated.size());
long sumOfPartitionSizes = 0;
for (long size: partitionSizesInMergedFile) {
sumOfPartitionSizes += size;
}
assertEquals(sumOfPartitionSizes, mergedOutputFile.length());
assertEquals(HashMultiset.create(dataToWrite), HashMultiset.create(readRecordsFromFile()));
assertSpillFilesWereCleanedUp();
ShuffleWriteMetrics shuffleWriteMetrics = taskMetrics.shuffleWriteMetrics().get();
assertEquals(dataToWrite.size(), shuffleWriteMetrics.recordsWritten());
assertThat(taskMetrics.diskBytesSpilled(), greaterThan(0L));
assertThat(taskMetrics.diskBytesSpilled(), lessThan(mergedOutputFile.length()));
assertThat(taskMetrics.memoryBytesSpilled(), greaterThan(0L));
assertEquals(mergedOutputFile.length(), shuffleWriteMetrics.bytesWritten());
}
@Test
public void mergeSpillsWithTransferToAndLZF() throws Exception {
testMergingSpills(true, LZFCompressionCodec.class.getName());
}
@Test
public void mergeSpillsWithFileStreamAndLZF() throws Exception {
testMergingSpills(false, LZFCompressionCodec.class.getName());
}
@Test
public void mergeSpillsWithTransferToAndLZ4() throws Exception {
testMergingSpills(true, LZ4CompressionCodec.class.getName());
}
@Test
public void mergeSpillsWithFileStreamAndLZ4() throws Exception {
testMergingSpills(false, LZ4CompressionCodec.class.getName());
}
@Test
public void mergeSpillsWithTransferToAndSnappy() throws Exception {
testMergingSpills(true, SnappyCompressionCodec.class.getName());
}
@Test
public void mergeSpillsWithFileStreamAndSnappy() throws Exception {
testMergingSpills(false, SnappyCompressionCodec.class.getName());
}
@Test
public void mergeSpillsWithTransferToAndNoCompression() throws Exception {
testMergingSpills(true, null);
}
@Test
public void mergeSpillsWithFileStreamAndNoCompression() throws Exception {
testMergingSpills(false, null);
}
@Test
public void writeEnoughDataToTriggerSpill() throws Exception {
memoryManager.limit(PackedRecordPointer.MAXIMUM_PAGE_SIZE_BYTES);
final UnsafeShuffleWriter<Object, Object> writer = createWriter(false);
final ArrayList<Product2<Object, Object>> dataToWrite = new ArrayList<>();
final byte[] bigByteArray = new byte[PackedRecordPointer.MAXIMUM_PAGE_SIZE_BYTES / 10];
for (int i = 0; i < 10 + 1; i++) {
dataToWrite.add(new Tuple2<Object, Object>(i, bigByteArray));
}
writer.write(dataToWrite.iterator());
assertEquals(2, spillFilesCreated.size());
writer.stop(true);
readRecordsFromFile();
assertSpillFilesWereCleanedUp();
ShuffleWriteMetrics shuffleWriteMetrics = taskMetrics.shuffleWriteMetrics().get();
assertEquals(dataToWrite.size(), shuffleWriteMetrics.recordsWritten());
assertThat(taskMetrics.diskBytesSpilled(), greaterThan(0L));
assertThat(taskMetrics.diskBytesSpilled(), lessThan(mergedOutputFile.length()));
assertThat(taskMetrics.memoryBytesSpilled(), greaterThan(0L));
assertEquals(mergedOutputFile.length(), shuffleWriteMetrics.bytesWritten());
}
@Test
public void writeEnoughRecordsToTriggerSortBufferExpansionAndSpill() throws Exception {
memoryManager.limit(UnsafeShuffleWriter.INITIAL_SORT_BUFFER_SIZE * 16);
final UnsafeShuffleWriter<Object, Object> writer = createWriter(false);
final ArrayList<Product2<Object, Object>> dataToWrite = new ArrayList<>();
for (int i = 0; i < UnsafeShuffleWriter.INITIAL_SORT_BUFFER_SIZE + 1; i++) {
dataToWrite.add(new Tuple2<Object, Object>(i, i));
}
writer.write(dataToWrite.iterator());
assertEquals(2, spillFilesCreated.size());
writer.stop(true);
readRecordsFromFile();
assertSpillFilesWereCleanedUp();
ShuffleWriteMetrics shuffleWriteMetrics = taskMetrics.shuffleWriteMetrics().get();
assertEquals(dataToWrite.size(), shuffleWriteMetrics.recordsWritten());
assertThat(taskMetrics.diskBytesSpilled(), greaterThan(0L));
assertThat(taskMetrics.diskBytesSpilled(), lessThan(mergedOutputFile.length()));
assertThat(taskMetrics.memoryBytesSpilled(), greaterThan(0L));
assertEquals(mergedOutputFile.length(), shuffleWriteMetrics.bytesWritten());
}
@Test
public void writeRecordsThatAreBiggerThanDiskWriteBufferSize() throws Exception {
final UnsafeShuffleWriter<Object, Object> writer = createWriter(false);
final ArrayList<Product2<Object, Object>> dataToWrite = new ArrayList<>();
final byte[] bytes = new byte[(int) (ShuffleExternalSorter.DISK_WRITE_BUFFER_SIZE * 2.5)];
new Random(42).nextBytes(bytes);
dataToWrite.add(new Tuple2<Object, Object>(1, ByteBuffer.wrap(bytes)));
writer.write(dataToWrite.iterator());
writer.stop(true);
assertEquals(
HashMultiset.create(dataToWrite),
HashMultiset.create(readRecordsFromFile()));
assertSpillFilesWereCleanedUp();
}
@Test
public void writeRecordsThatAreBiggerThanMaxRecordSize() throws Exception {
final UnsafeShuffleWriter<Object, Object> writer = createWriter(false);
final ArrayList<Product2<Object, Object>> dataToWrite = new ArrayList<>();
dataToWrite.add(new Tuple2<Object, Object>(1, ByteBuffer.wrap(new byte[1])));
// We should be able to write a record that's right _at_ the max record size
final byte[] atMaxRecordSize = new byte[(int) taskMemoryManager.pageSizeBytes() - 4];
new Random(42).nextBytes(atMaxRecordSize);
dataToWrite.add(new Tuple2<Object, Object>(2, ByteBuffer.wrap(atMaxRecordSize)));
// Inserting a record that's larger than the max record size
final byte[] exceedsMaxRecordSize = new byte[(int) taskMemoryManager.pageSizeBytes()];
new Random(42).nextBytes(exceedsMaxRecordSize);
dataToWrite.add(new Tuple2<Object, Object>(3, ByteBuffer.wrap(exceedsMaxRecordSize)));
writer.write(dataToWrite.iterator());
writer.stop(true);
assertEquals(
HashMultiset.create(dataToWrite),
HashMultiset.create(readRecordsFromFile()));
assertSpillFilesWereCleanedUp();
}
@Test
public void spillFilesAreDeletedWhenStoppingAfterError() throws IOException {
final UnsafeShuffleWriter<Object, Object> writer = createWriter(false);
writer.insertRecordIntoSorter(new Tuple2<Object, Object>(1, 1));
writer.insertRecordIntoSorter(new Tuple2<Object, Object>(2, 2));
writer.forceSorterToSpill();
writer.insertRecordIntoSorter(new Tuple2<Object, Object>(2, 2));
writer.stop(false);
assertSpillFilesWereCleanedUp();
}
@Test
public void testPeakMemoryUsed() throws Exception {
final long recordLengthBytes = 8;
final long pageSizeBytes = 256;
final long numRecordsPerPage = pageSizeBytes / recordLengthBytes;
taskMemoryManager = spy(taskMemoryManager);
when(taskMemoryManager.pageSizeBytes()).thenReturn(pageSizeBytes);
final UnsafeShuffleWriter<Object, Object> writer =
new UnsafeShuffleWriter<>(
blockManager,
shuffleBlockResolver,
taskMemoryManager,
new SerializedShuffleHandle<>(0, 1, shuffleDep),
0, // map id
taskContext,
conf);
// Peak memory should be monotonically increasing. More specifically, every time
// we allocate a new page it should increase by exactly the size of the page.
long previousPeakMemory = writer.getPeakMemoryUsedBytes();
long newPeakMemory;
try {
for (int i = 0; i < numRecordsPerPage * 10; i++) {
writer.insertRecordIntoSorter(new Tuple2<Object, Object>(1, 1));
newPeakMemory = writer.getPeakMemoryUsedBytes();
if (i % numRecordsPerPage == 0) {
// The first page is allocated in constructor, another page will be allocated after
// every numRecordsPerPage records (peak memory should change).
assertEquals(previousPeakMemory + pageSizeBytes, newPeakMemory);
} else {
assertEquals(previousPeakMemory, newPeakMemory);
}
previousPeakMemory = newPeakMemory;
}
// Spilling should not change peak memory
writer.forceSorterToSpill();
newPeakMemory = writer.getPeakMemoryUsedBytes();
assertEquals(previousPeakMemory, newPeakMemory);
for (int i = 0; i < numRecordsPerPage; i++) {
writer.insertRecordIntoSorter(new Tuple2<Object, Object>(1, 1));
}
newPeakMemory = writer.getPeakMemoryUsedBytes();
assertEquals(previousPeakMemory, newPeakMemory);
// Closing the writer should not change peak memory
writer.closeAndWriteOutput();
newPeakMemory = writer.getPeakMemoryUsedBytes();
assertEquals(previousPeakMemory, newPeakMemory);
} finally {
writer.stop(false);
}
}
}
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