Github user viirya commented on the issue:
https://github.com/apache/spark/pull/15916
@rxin An exception will be thrown, not just a warning message. This
exception is thrown at `Executor` after it calls
`taskMemoryManager.cleanUpAllAllocatedMemory` and finds there are memory not
released after the task completion.
The exception looks like:
[info] - SPARK-18487: Consume all elements for show/take to avoid
memory leak *** FAILED *** (1 second, 73 milliseconds)
[info] org.apache.spark.SparkException: Job aborted due to stage
failure: Task 0 in stage 179.0 failed 1 times, most recent failure: Lost task
0.0 in stage 179.0 (TID 501, localhost, executor driver):
org.apache.spark.SparkException: Managed memory leak detected; size = 33816576
bytes, TID = 501
[info] at
org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:295)
[info] at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
[info] at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
[info] at java.lang.Thread.run(Thread.java:745)
[info]
[info] Driver stacktrace:
[info] at
org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentS
tages(DAGScheduler.scala:1436)
[info] at
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1424)
[info] at
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1423)
[info] at
scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
[info] at
scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
[info] at
org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1423)
[info] at
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:802)
[info] at
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:802)
[info] at scala.Option.foreach(Option.scala:257)
...
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