Github user dbtsai commented on the pull request: https://github.com/apache/spark/pull/2030#issuecomment-58183559 We had a build against the spark master on Oct 2, and when ran our application with data around 600GB, we got the following exception. Does this PR fix this issue which is seen by @JoshRosen Job aborted due to stage failure: Task 0 in stage 6.0 failed 4 times, most recent failure: Lost task 0.3 in stage 6.0 (TID 8312, ams03-002.ff): java.io.IOException: PARSING_ERROR(2) org.xerial.snappy.SnappyNative.throw_error(SnappyNative.java:84) org.xerial.snappy.SnappyNative.uncompressedLength(Native Method) org.xerial.snappy.Snappy.uncompressedLength(Snappy.java:594) org.xerial.snappy.SnappyInputStream.readFully(SnappyInputStream.java:125) org.xerial.snappy.SnappyInputStream.readHeader(SnappyInputStream.java:88) org.xerial.snappy.SnappyInputStream.<init>(SnappyInputStream.java:58) org.apache.spark.io.SnappyCompressionCodec.compressedInputStream(CompressionCodec.scala:128) org.apache.spark.storage.BlockManager.wrapForCompression(BlockManager.scala:1004) org.apache.spark.storage.ShuffleBlockFetcherIterator$$anon$1$$anonfun$onBlockFetchSuccess$1.apply(ShuffleBlockFetcherIterator.scala:116) org.apache.spark.storage.ShuffleBlockFetcherIterator$$anon$1$$anonfun$onBlockFetchSuccess$1.apply(ShuffleBlockFetcherIterator.scala:115) org.apache.spark.storage.ShuffleBlockFetcherIterator.next(ShuffleBlockFetcherIterator.scala:243) org.apache.spark.storage.ShuffleBlockFetcherIterator.next(ShuffleBlockFetcherIterator.scala:52) scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371) org.apache.spark.util.CompletionIterator.hasNext(CompletionIterator.scala:30) org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:39) org.apache.spark.Aggregator.combineCombinersByKey(Aggregator.scala:89) org.apache.spark.shuffle.hash.HashShuffleReader.read(HashShuffleReader.scala:44) org.apache.spark.rdd.ShuffledRDD.compute(ShuffledRDD.scala:92) org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262) org.apache.spark.rdd.RDD.iterator(RDD.scala:229) org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61) org.apache.spark.scheduler.Task.run(Task.scala:56) org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:182) java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) java.lang.Thread.run(Thread.java:744) Driver stacktrace:
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