[GitHub] spark pull request: SPARK-3052. Misleading and spurious FileSystem...

[sryza <gi...@git.apache.org>]

Github user sryza commented on the pull request:

    https://github.com/apache/spark/pull/1956#issuecomment-54114366
  
    Here's the exception:
    
    > java.io.IOException: Filesystem closed
            at org.apache.hadoop.hdfs.DFSClient.checkOpen(DFSClient.java:703)
            at org.apache.hadoop.hdfs.DFSInputStream.readWithStrategy(DFSInputStream.java:775)
            at org.apache.hadoop.hdfs.DFSInputStream.read(DFSInputStream.java:836)
            at java.io.DataInputStream.readFully(DataInputStream.java:195)
            at java.io.DataInputStream.readFully(DataInputStream.java:169)
            at parquet.hadoop.ParquetFileReader$ConsecutiveChunkList.readAll(ParquetFileReader.java:610)
            at parquet.hadoop.ParquetFileReader.readNextRowGroup(ParquetFileReader.java:360)
            at parquet.hadoop.InternalParquetRecordReader.checkRead(InternalParquetRecordReader.java:100)
            at parquet.hadoop.InternalParquetRecordReader.nextKeyValue(InternalParquetRecordReader.java:172)
            at parquet.hadoop.ParquetRecordReader.nextKeyValue(ParquetRecordReader.java:130)
            at org.apache.spark.rdd.NewHadoopRDD$$anon$1.hasNext(NewHadoopRDD.scala:122)
            at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:39)
            at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
            at scala.collection.Iterator$$anon$14.hasNext(Iterator.scala:388)
            at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
            at scala.collection.Iterator$class.foreach(Iterator.scala:727)
            at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
            at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:158)
            at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99)
            at org.apache.spark.scheduler.Task.run(Task.scala:51)
            at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:187)
            at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
            at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
            at java.lang.Thread.run(Thread.java:745)
    
    Thanks, I wasn't aware of Utils.inShutdown.  I'll post a patch that uses that.  I haven't yet figured out how to reliably reproduce this, so I can't verify that it will safeguard against the warning in all situations where it should, but it seems like an improvement.


---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at infrastructure@apache.org or file a JIRA ticket
with INFRA.
---

---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscribe@spark.apache.org
For additional commands, e-mail: reviews-help@spark.apache.org