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Mridul Muralidharan commented on SPARK-3277: -------------------------------------------- Sounds great, thx ! I suspect it is because for lzo we configure it to write block on flush (partial if insufficient data to fill block); but for lz4, either such config does not exist or we dont use that. Resulting in flush becoming noop in case the data in current block is insufficientto cause a compressed block to be created - while close will force patial block to be written out. Which is why the asserion lists all sizes as 0 > LZ4 compression cause the the ExternalSort exception > ---------------------------------------------------- > > Key: SPARK-3277 > URL: https://issues.apache.org/jira/browse/SPARK-3277 > Project: Spark > Issue Type: Bug > Components: Spark Core > Affects Versions: 1.0.2, 1.1.0, 1.2.0 > Reporter: hzw > Assignee: Andrew Or > Priority: Blocker > Attachments: test_lz4_bug.patch > > > I tested the LZ4 compression,and it come up with such problem.(with wordcount) > Also I tested the snappy and LZF,and they were OK. > At last I set the "spark.shuffle.spill" as false to avoid such exeception, > but once open this "switch", this error would come. > It seems that if num of the[ words is few, wordcount will go through,but if > it is a complex text ,this problem will show > Exeception Info as follow: > {code} > java.lang.AssertionError: assertion failed > at scala.Predef$.assert(Predef.scala:165) > at > org.apache.spark.util.collection.ExternalAppendOnlyMap$DiskMapIterator.<init>(ExternalAppendOnlyMap.scala:416) > at > org.apache.spark.util.collection.ExternalAppendOnlyMap.spill(ExternalAppendOnlyMap.scala:235) > at > org.apache.spark.util.collection.ExternalAppendOnlyMap.insertAll(ExternalAppendOnlyMap.scala:150) > at org.apache.spark.Aggregator.combineValuesByKey(Aggregator.scala:58) > at > org.apache.spark.shuffle.hash.HashShuffleWriter.write(HashShuffleWriter.scala:55) > at > org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:68) > at > org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41) > at org.apache.spark.scheduler.Task.run(Task.scala:54) > at > org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:177) > at > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1110) > at > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:603) > at java.lang.Thread.run(Thread.java:722) > {code} -- This message was sent by Atlassian JIRA (v6.2#6252) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org