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https://issues.apache.org/jira/browse/SPARK-17572?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Sean Owen resolved SPARK-17572.
-------------------------------
Resolution: Not A Problem
> Write.df is failing on spark cluster
> ------------------------------------
>
> Key: SPARK-17572
> URL: https://issues.apache.org/jira/browse/SPARK-17572
> Project: Spark
> Issue Type: Bug
> Components: SparkR
> Affects Versions: 2.0.0
> Reporter: Sankar Mittapally
>
> Hi,
> We have spark cluster with four nodes, all four nodes have NFS partition
> shared(there is no HDFS), We have same uid on all servers. When we are trying
> to write data we are getting following exceptions. I am not sure whether it
> is a error or not and not sure will I lost the data in the output.
> The command which I am using to save the data.
> {code}
> saveDF(banking_l1_1,"banking_l1_v2.csv",source="csv",mode="append",schema="true")
> {code}
> {noformat}
> 16/09/17 08:03:28 ERROR InsertIntoHadoopFsRelationCommand: Aborting job.
> java.io.IOException: Failed to rename
> DeprecatedRawLocalFileStatus{path=file:/nfspartition/sankar/banking_l1_v2.csv/_temporary/0/task_201609170802_0013_m_000000/part-r-00000-46a7f178-2490-444e-9110-510978eaaecb.csv;
> isDirectory=false; length=436486316; replication=1; blocksize=33554432;
> modification_time=1474099400000; access_time=0; owner=; group=;
> permission=rw-rw-rw-; isSymlink=false} to
> file:/nfspartition/sankar/banking_l1_v2.csv/part-r-00000-46a7f178-2490-444e-9110-510978eaaecb.csv
> at
> org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter.mergePaths(FileOutputCommitter.java:371)
> at
> org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter.mergePaths(FileOutputCommitter.java:384)
> at
> org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter.commitJob(FileOutputCommitter.java:326)
> at
> org.apache.spark.sql.execution.datasources.BaseWriterContainer.commitJob(WriterContainer.scala:222)
> at
> org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand$$anonfun$run$1.apply$mcV$sp(InsertIntoHadoopFsRelationCommand.scala:144)
> at
> org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand$$anonfun$run$1.apply(InsertIntoHadoopFsRelationCommand.scala:115)
> at
> org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand$$anonfun$run$1.apply(InsertIntoHadoopFsRelationCommand.scala:115)
> at
> org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:57)
> at
> org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand.run(InsertIntoHadoopFsRelationCommand.scala:115)
> at
> org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:60)
> at
> org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:58)
> at
> org.apache.spark.sql.execution.command.ExecutedCommandExec.doExecute(commands.scala:74)
> at
> org.apache.spark.sql.execution.SparkPlan$$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:487)
> at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:211)
> at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:194)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at
> org.apache.spark.api.r.RBackendHandler.handleMethodCall(RBackendHandler.scala:141)
> at
> org.apache.spark.api.r.RBackendHandler.channelRead0(RBackendHandler.scala:86)
> at
> org.apache.spark.api.r.RBackendHandler.channelRead0(RBackendHandler.scala:38)
> at
> io.netty.channel.SimpleChannelInboundHandler.channelRead(SimpleChannelInboundHandler.java:105)
> at
> io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:308)
> at
> io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:294)
> at
> io.netty.handler.codec.MessageToMessageDecoder.channelRead(MessageToMessageDecoder.java:103)
> at
> io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:308)
> at
> io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:294)
> at
> io.netty.handler.codec.ByteToMessageDecoder.channelRead(ByteToMessageDecoder.java:244)
> at
> io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:308)
> at
> io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:294)
> at
> io.netty.channel.DefaultChannelPipeline.fireChannelRead(DefaultChannelPipeline.java:846)
> at
> io.netty.channel.nio.AbstractNioByteChannel$NioByteUnsafe.read(AbstractNioByteChannel.java:131)
> at
> io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:511)
> at
> io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:468)
> at
> io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:382)
> at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:354)
> at
> io.netty.util.concurrent.SingleThreadEventExecutor$2.run(SingleThreadEventExecutor.java:111)
> at
> io.netty.util.concurrent.DefaultThreadFactory$DefaultRunnableDecorator.run(DefaultThreadFactory.java:137)
> at java.lang.Thread.run(Thread.java:745)
> 16/09/17 08:03:28 WARN FileUtil: Failed to delete file or dir
> [/nfspartition/sankar/banking_l1_v2.csv/_temporary/0/task_201609170802_0013_m_000000/.part-r-00000-46a7f178-2490-444e-9110-510978eaaecb.csv.crc]:
> it still exists.
> 16/09/17 08:03:28 WARN FileUtil: Failed to delete file or dir
> [/nfspartition/sankar/banking_l1_v2.csv/_temporary/0/task_201609170802_0013_m_000000/part-r-00000-46a7f178-2490-444e-9110-510978eaaecb.csv]:
> it still exists.
> 16/09/17 08:03:28 ERROR DefaultWriterContainer: Job job_201609170803_0000
> aborted.
> 16/09/17 08:03:28 ERROR RBackendHandler: save on 625 failed
> Error in invokeJava(isStatic = FALSE, objId$id, methodName, ...) :
> org.apache.spark.SparkException: Job aborted.
> at
> org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand$$anonfun$run$1.apply$mcV$sp(InsertIntoHadoopFsRelationCommand.scala:149)
> at
> org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand$$anonfun$run$1.apply(InsertIntoHadoopFsRelationCommand.scala:115)
> at
> org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand$$anonfun$run$1.apply(InsertIntoHadoopFsRelationCommand.scala:115)
> at
> org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:57)
> at
> org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand.run(InsertIntoHadoopFsRelationCommand.scala:115)
> 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.doE
> {noformat}
> Thanks
> Sankar
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