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https://issues.apache.org/jira/browse/SPARK-8413?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15175280#comment-15175280
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Constantijn commented on SPARK-8413:
------------------------------------
I'm having the same issue when writing data to gs:// (google cloud's S3
equivalent) from spark using the DirectParquetOutputCommitter.
https://groups.google.com/forum/#!topic/cloud-dataproc-discuss/jNP7fkJdD5A
If there's any extra data I can provide to help solve this issue let me know.
> 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
> Components: SQL
> 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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