[jira] [Created] (SPARK-8413) DirectParquetOutputCommitter doesn't clean up the file on task failure

["Mingyu Kim (JIRA)" <ji...@apache.org>]

Mingyu Kim created SPARK-8413:
---------------------------------

             Summary: DirectParquetOutputCommitter doesn't clean up the file on task failure
                 Key: SPARK-8413
                 URL: https://issues.apache.org/jira/browse/SPARK-8413
             Project: Spark
          Issue Type: Bug
    Affects Versions: 1.3.1
            Reporter: Mingyu Kim
            Priority: Critical


Here are the steps that lead to the failure.

1. Write a DataFrame using DirectParquetOutputCommitter
2. 1st attempt fails during the writes. e.g. https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/parquet/ParquetTableOperations.scala#L355
3. There is no clean-up logic on task failure, so the parquet part file written by the failed task is left half-written.
4. 2nd attempt fails with the following exception because the target file already exists.

{noformat}
2015-06-15T15:37:32.703 WARN [task-result-getter-2] org.apache.spark.scheduler.TaskSetManager - Lost task 56.1 in stage 7.0 (TID 73125, <REDACTED>): java.io.IOException: File already exists:s3://<REDACTED>
        at <REDACTED>
	at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:851)
	at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:832)
	at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:731)
	at parquet.hadoop.ParquetFileWriter.<init>(ParquetFileWriter.java:154)
	at parquet.hadoop.ParquetOutputFormat.getRecordWriter(ParquetOutputFormat.java:279)
	at parquet.hadoop.ParquetOutputFormat.getRecordWriter(ParquetOutputFormat.java:252)
	at org.apache.spark.sql.parquet.InsertIntoParquetTable.org$apache$spark$sql$parquet$InsertIntoParquetTable$$writeShard$1(ParquetTableOperations.scala:350)
	at org.apache.spark.sql.parquet.InsertIntoParquetTable$$anonfun$saveAsHadoopFile$1.apply(ParquetTableOperations.scala:371)
	at org.apache.spark.sql.parquet.InsertIntoParquetTable$$anonfun$saveAsHadoopFile$1.apply(ParquetTableOperations.scala:371)
	at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61)
	at org.apache.spark.scheduler.Task.run(Task.scala:64)
	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:203)
	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)
{noformat}



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