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https://issues.apache.org/jira/browse/SPARK-9899?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14703530#comment-14703530
 ] 

Apache Spark commented on SPARK-9899:
-------------------------------------

User 'liancheng' has created a pull request for this issue:
https://github.com/apache/spark/pull/8317

> JSON/Parquet writing on retry or speculation broken with direct output 
> committer
> --------------------------------------------------------------------------------
>
>                 Key: SPARK-9899
>                 URL: https://issues.apache.org/jira/browse/SPARK-9899
>             Project: Spark
>          Issue Type: Sub-task
>          Components: SQL
>            Reporter: Michael Armbrust
>            Assignee: Cheng Lian
>            Priority: Blocker
>
> If the first task fails all subsequent tasks will.  We probably need to set a 
> different boolean when calling create.
> {code}
> java.io.IOException: File already exists: ...
> ...
>       at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:564)
>       at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:545)
>       at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:452)
>       at 
> org.apache.hadoop.mapreduce.lib.output.TextOutputFormat.getRecordWriter(TextOutputFormat.java:128)
>       at 
> org.apache.spark.sql.execution.datasources.json.JsonOutputWriter.<init>(JSONRelation.scala:185)
>       at 
> org.apache.spark.sql.execution.datasources.json.JSONRelation$$anon$1.newInstance(JSONRelation.scala:160)
>       at 
> org.apache.spark.sql.execution.datasources.DefaultWriterContainer.writeRows(WriterContainer.scala:217)
>       at 
> org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation$$anonfun$run$1$$anonfun$apply$mcV$sp$3.apply(InsertIntoHadoopFsRelation.scala:150)
>       at 
> org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation$$anonfun$run$1$$anonfun$apply$mcV$sp$3.apply(InsertIntoHadoopFsRelation.scala:150)
>       at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
>       at org.apache.spark.scheduler.Task.run(Task.scala:88)
>       at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
>       at 
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
> {code}



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