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Posted to issues@spark.apache.org by "Eyal Zituny (JIRA)" <ji...@apache.org> on 2019/03/31 08:54:00 UTC

[jira] [Created] (SPARK-27330) ForeachWriter is not being closed once a batch is aborted

Eyal Zituny created SPARK-27330:
-----------------------------------

             Summary: ForeachWriter is not being closed once a batch is aborted
                 Key: SPARK-27330
                 URL: https://issues.apache.org/jira/browse/SPARK-27330
             Project: Spark
          Issue Type: Bug
          Components: Structured Streaming
    Affects Versions: 2.4.0
            Reporter: Eyal Zituny


in cases where a micro batch is being killed (interrupted), not during actual processing done by the ForeachDataWriter (for example when iterating the iterator), DataWritingSparkTask will catch the interrupted exception and call  dataWriter.abort()

the problem is that ForeachDataWriter has an empty implementation for the abort method.

as a result of that, i have encountered issues in connections which were opened in the "open" method when the writer has been created but never closed.

this wasn't the behavior pre spark 2.4

my suggestion is to call ForeachWriter.close() when DataWriter.abort() is called, and exception should also be provided in order to notify the foreach writer that this task has failed

 

stack trace from the exception i have encountered:
org.apache.spark.TaskKilledException: null
 at org.apache.spark.TaskContextImpl.killTaskIfInterrupted(TaskContextImpl.scala:149)
 at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:36)
 at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
 at org.apache.spark.sql.execution.datasources.v2.DataWritingSparkTask$$anonfun$run$3.apply(WriteToDataSourceV2Exec.scala:117)
 at org.apache.spark.sql.execution.datasources.v2.DataWritingSparkTask$$anonfun$run$3.apply(WriteToDataSourceV2Exec.scala:116)
 at org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1394)
 at org.apache.spark.sql.execution.datasources.v2.DataWritingSparkTask$.run(WriteToDataSourceV2Exec.scala:146)
 at org.apache.spark.sql.execution.datasources.v2.WriteToDataSourceV2Exec$$anonfun$doExecute$2.apply(WriteToDataSourceV2Exec.scala:67)
 at org.apache.spark.sql.execution.datasources.v2.WriteToDataSourceV2Exec$$anonfun$doExecute$2.apply(WriteToDataSourceV2Exec.scala:66)

 



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