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Posted to issues@spark.apache.org by "Michael Armbrust (JIRA)" <ji...@apache.org> on 2015/08/14 00:26:45 UTC
[jira] [Updated] (SPARK-9899) JSON/Parquet writing on retry or
speculation broken with direct output committer
[ https://issues.apache.org/jira/browse/SPARK-9899?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Michael Armbrust updated SPARK-9899:
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Summary: JSON/Parquet writing on retry or speculation broken with direct output committer (was: JSON writing retry broken with direct output committer)
> 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
>
> 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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