MAPREDUCE-5649. Reduce cannot use more than 2G memory for the final merge. Contributed by Gera Shegalov
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c4578760b6
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@ -365,6 +365,9 @@ Release 2.8.0 - UNRELEASED
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MAPREDUCE-6349. Fix typo in property org.apache.hadoop.mapreduce.
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lib.chain.Chain.REDUCER_INPUT_VALUE_CLASS. (Ray Chiang via ozawa)
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MAPREDUCE-5649. Reduce cannot use more than 2G memory for the final merge
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(Gera Shegalov via jlowe)
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Release 2.7.1 - UNRELEASED
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INCOMPATIBLE CHANGES
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@ -93,8 +93,10 @@ public class MergeManagerImpl<K, V> implements MergeManager<K, V> {
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Set<CompressAwarePath> onDiskMapOutputs = new TreeSet<CompressAwarePath>();
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private final OnDiskMerger onDiskMerger;
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private final long memoryLimit;
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@VisibleForTesting
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final long memoryLimit;
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private long usedMemory;
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private long commitMemory;
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private final long maxSingleShuffleLimit;
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@ -167,11 +169,10 @@ public class MergeManagerImpl<K, V> implements MergeManager<K, V> {
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}
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// Allow unit tests to fix Runtime memory
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this.memoryLimit =
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(long)(jobConf.getLong(MRJobConfig.REDUCE_MEMORY_TOTAL_BYTES,
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Math.min(Runtime.getRuntime().maxMemory(), Integer.MAX_VALUE))
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* maxInMemCopyUse);
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this.memoryLimit = (long)(jobConf.getLong(
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MRJobConfig.REDUCE_MEMORY_TOTAL_BYTES,
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Runtime.getRuntime().maxMemory()) * maxInMemCopyUse);
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this.ioSortFactor = jobConf.getInt(MRJobConfig.IO_SORT_FACTOR, 100);
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final float singleShuffleMemoryLimitPercent =
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@ -202,7 +203,7 @@ public class MergeManagerImpl<K, V> implements MergeManager<K, V> {
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if (this.maxSingleShuffleLimit >= this.mergeThreshold) {
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throw new RuntimeException("Invalid configuration: "
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+ "maxSingleShuffleLimit should be less than mergeThreshold"
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+ "maxSingleShuffleLimit should be less than mergeThreshold "
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+ "maxSingleShuffleLimit: " + this.maxSingleShuffleLimit
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+ "mergeThreshold: " + this.mergeThreshold);
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}
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@ -668,24 +669,26 @@ public class MergeManagerImpl<K, V> implements MergeManager<K, V> {
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}
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}
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@VisibleForTesting
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final long getMaxInMemReduceLimit() {
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final float maxRedPer =
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jobConf.getFloat(MRJobConfig.REDUCE_INPUT_BUFFER_PERCENT, 0f);
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if (maxRedPer > 1.0 || maxRedPer < 0.0) {
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throw new RuntimeException(maxRedPer + ": "
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+ MRJobConfig.REDUCE_INPUT_BUFFER_PERCENT
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+ " must be a float between 0 and 1.0");
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}
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return (long)(memoryLimit * maxRedPer);
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}
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private RawKeyValueIterator finalMerge(JobConf job, FileSystem fs,
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List<InMemoryMapOutput<K,V>> inMemoryMapOutputs,
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List<CompressAwarePath> onDiskMapOutputs
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) throws IOException {
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LOG.info("finalMerge called with " +
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inMemoryMapOutputs.size() + " in-memory map-outputs and " +
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onDiskMapOutputs.size() + " on-disk map-outputs");
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final float maxRedPer =
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job.getFloat(MRJobConfig.REDUCE_INPUT_BUFFER_PERCENT, 0f);
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if (maxRedPer > 1.0 || maxRedPer < 0.0) {
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throw new IOException(MRJobConfig.REDUCE_INPUT_BUFFER_PERCENT +
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maxRedPer);
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}
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int maxInMemReduce = (int)Math.min(
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Runtime.getRuntime().maxMemory() * maxRedPer, Integer.MAX_VALUE);
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LOG.info("finalMerge called with " +
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inMemoryMapOutputs.size() + " in-memory map-outputs and " +
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onDiskMapOutputs.size() + " on-disk map-outputs");
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final long maxInMemReduce = getMaxInMemReduceLimit();
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// merge config params
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Class<K> keyClass = (Class<K>)job.getMapOutputKeyClass();
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Class<V> valueClass = (Class<V>)job.getMapOutputValueClass();
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@ -260,4 +260,33 @@ public class TestMergeManager {
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}
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}
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@Test
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public void testLargeMemoryLimits() throws Exception {
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final JobConf conf = new JobConf();
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// Xmx in production
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conf.setLong(MRJobConfig.REDUCE_MEMORY_TOTAL_BYTES,
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8L * 1024 * 1024 * 1024);
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// M1 = Xmx fraction for map outputs
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conf.setFloat(MRJobConfig.SHUFFLE_INPUT_BUFFER_PERCENT, 1.0f);
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// M2 = max M1 fraction for a single maple output
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conf.setFloat(MRJobConfig.SHUFFLE_MEMORY_LIMIT_PERCENT, 0.95f);
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// M3 = M1 fraction at which in memory merge is triggered
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conf.setFloat(MRJobConfig.SHUFFLE_MERGE_PERCENT, 1.0f);
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// M4 = M1 fraction of map outputs remaining in memory for a reduce
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conf.setFloat(MRJobConfig.REDUCE_INPUT_BUFFER_PERCENT, 1.0f);
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final MergeManagerImpl<Text, Text> mgr = new MergeManagerImpl<Text, Text>(
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null, conf, mock(LocalFileSystem.class), null, null, null, null, null,
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null, null, null, null, null, new MROutputFiles());
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assertTrue("Large shuffle area unusable: " + mgr.memoryLimit,
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mgr.memoryLimit > Integer.MAX_VALUE);
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final long maxInMemReduce = mgr.getMaxInMemReduceLimit();
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assertTrue("Large in-memory reduce area unusable: " + maxInMemReduce,
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maxInMemReduce > Integer.MAX_VALUE);
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}
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}
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