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Posted to common-dev@hadoop.apache.org by "Steve Loughran (JIRA)" <ji...@apache.org> on 2017/02/22 13:30:44 UTC
[jira] [Resolved] (HADOOP-14101) MultiObjectDeleteException thrown
when writing directly to s3a
[ https://issues.apache.org/jira/browse/HADOOP-14101?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Steve Loughran resolved HADOOP-14101.
-------------------------------------
Resolution: Duplicate
> MultiObjectDeleteException thrown when writing directly to s3a
> --------------------------------------------------------------
>
> Key: HADOOP-14101
> URL: https://issues.apache.org/jira/browse/HADOOP-14101
> Project: Hadoop Common
> Issue Type: Bug
> Components: fs/s3
> Affects Versions: 2.7.0, 2.7.1, 2.7.2, 2.7.3
> Reporter: Luke Miner
> Labels: s3
>
> When I write large jobs to s3a in spark, I get non-deterministic {{MultiObjectDeleteException}}. This seems to happen at the end of the job when the temporary files are being cleaned up. It is fixed when {{fs.s3a.multiobjectdelete.enable}} is set to {{false}}.
> {code}
> Exception in thread "main" com.amazonaws.services.s3.model.MultiObjectDeleteException: Status Code: 0, AWS Service: null, AWS Request ID: null, AWS Error Code: null, AWS Error Message: One or more objects could not be deleted, S3 Extended Request ID: null
> at com.amazonaws.services.s3.AmazonS3Client.deleteObjects(AmazonS3Client.java:1745)
> at org.apache.hadoop.fs.s3a.S3AFileSystem.delete(S3AFileSystem.java:674)
> at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand.run(InsertIntoHadoopFsRelationCommand.scala:90)
> at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:60)
> at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:58)
> at org.apache.spark.sql.execution.command.ExecutedCommandExec.doExecute(commands.scala:74)
> at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:115)
> at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:115)
> at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:136)
> at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
> at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:133)
> at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:114)
> at org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:86)
> at org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:86)
> at org.apache.spark.sql.execution.datasources.DataSource.write(DataSource.scala:510)
> at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:211)
> at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:194)
> at org.apache.spark.sql.DataFrameWriter.parquet(DataFrameWriter.scala:488)
> at Json2Pq$.main(json2pq.scala:179)
> at Json2Pq.main(json2pq.scala)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
> at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:606)
> at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:736)
> at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:185)
> at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:210)
> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:124)
> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
> {code}
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