Instead of *mode="append"*, try *mode="overwrite"*
On Tue, Sep 20, 2016 at 11:30 AM, Sankar Mittapally <
sankar.mittapa...@creditvidya.com> wrote:
> Please find the code below.
>
> sankar2 <- read.df("/nfspartition/sankar/test/2016/08/test.json")
>
> I tried these two commands.
> write.df(sankar2,"/nfspartition/sankar/test/test.csv","csv",header="true")
>
> saveDF(sankar2,"sankartest.csv",source="csv",mode="append",schema="true")
>
>
>
> On Tue, Sep 20, 2016 at 9:40 PM, Kevin Mellott <kevin.r.mell...@gmail.com>
> wrote:
>
>> Can you please post the line of code that is doing the df.write command?
>>
>> On Tue, Sep 20, 2016 at 9:29 AM, Sankar Mittapally <
>> sankar.mittapa...@creditvidya.com> wrote:
>>
>>> Hey Kevin,
>>>
>>> It is a empty directory, It is able to write part files to the directory
>>> but while merging those part files we are getting above error.
>>>
>>> Regards
>>>
>>>
>>> On Tue, Sep 20, 2016 at 7:46 PM, Kevin Mellott <
>>> kevin.r.mell...@gmail.com> wrote:
>>>
>>>> Have you checked to see if any files already exist at
>>>> /nfspartition/sankar/banking_l1_v2.csv? If so, you will need to delete
>>>> them before attempting to save your DataFrame to that location.
>>>> Alternatively, you may be able to specify the "mode" setting of the
>>>> df.write operation to "overwrite", depending on the version of Spark you
>>>> are running.
>>>>
>>>> *ERROR (from log)*
>>>> 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.
>>>>
>>>> *df.write Documentation*
>>>> http://spark.apache.org/docs/latest/api/R/write.df.html
>>>>
>>>> Thanks,
>>>> Kevin
>>>>
>>>> On Tue, Sep 20, 2016 at 12:16 AM, sankarmittapally <
>>>> sankar.mittapa...@creditvidya.com> wrote:
>>>>
>>>>> We have setup a spark cluster which is on NFS shared storage, there
>>>>> is no
>>>>> permission issues with NFS storage, all the users are able to write to
>>>>> NFS
>>>>> storage. When I fired write.df command in SparkR, I am getting below.
>>>>> Can
>>>>> some one please help me to fix this issue.
>>>>>
>>>>>
>>>>> 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-00000-46a7f178-249
>>>>> 0-444e-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-00000-46a
>>>>> 7f178-2490-444e-9110-510978eaaecb.csv
>>>>> at
>>>>> org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter.m
>>>>> ergePaths(FileOutputCommitter.java:371)
>>>>> at
>>>>> org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter.m
>>>>> ergePaths(FileOutputCommitter.java:384)
>>>>> at
>>>>> org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter.c
>>>>> ommitJob(FileOutputCommitter.java:326)
>>>>> at
>>>>> org.apache.spark.sql.execution.datasources.BaseWriterContain
>>>>> er.commitJob(WriterContainer.scala:222)
>>>>> at
>>>>> org.apache.spark.sql.execution.datasources.InsertIntoHadoopF
>>>>> sRelationCommand$$anonfun$run$1.apply$mcV$sp(InsertIntoHadoo
>>>>> pFsRelationCommand.scala:144)
>>>>> at
>>>>> org.apache.spark.sql.execution.datasources.InsertIntoHadoopF
>>>>> sRelationCommand$$anonfun$run$1.apply(InsertIntoHadoopFsRela
>>>>> tionCommand.scala:115)
>>>>> at
>>>>> org.apache.spark.sql.execution.datasources.InsertIntoHadoopF
>>>>> sRelationCommand$$anonfun$run$1.apply(InsertIntoHadoopFsRela
>>>>> tionCommand.scala:115)
>>>>> at
>>>>> org.apache.spark.sql.execution.SQLExecution$.withNewExecutio
>>>>> nId(SQLExecution.scala:57)
>>>>> at
>>>>> org.apache.spark.sql.execution.datasources.InsertIntoHadoopF
>>>>> sRelationCommand.run(InsertIntoHadoopFsRelationCommand.scala:115)
>>>>> at
>>>>> org.apache.spark.sql.execution.command.ExecutedCommandExec.s
>>>>> ideEffectResult$lzycompute(commands.scala:60)
>>>>> at
>>>>> org.apache.spark.sql.execution.command.ExecutedCommandExec.s
>>>>> ideEffectResult(commands.scala:58)
>>>>> at
>>>>> org.apache.spark.sql.execution.command.ExecutedCommandExec.d
>>>>> oExecute(commands.scala:74)
>>>>> at
>>>>> org.apache.spark.sql.execution.SparkPlan$$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$executeQue
>>>>> ry$1.apply(SparkPlan.scala:136)
>>>>> at
>>>>> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperati
>>>>> onScope.scala:151)
>>>>> at
>>>>> org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkP
>>>>> lan.scala:133)
>>>>> at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.s
>>>>> cala:114)
>>>>> at
>>>>> org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompu
>>>>> te(QueryExecution.scala:86)
>>>>> at
>>>>> org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExe
>>>>> cution.scala:86)
>>>>> at
>>>>> org.apache.spark.sql.execution.datasources.DataSource.write(
>>>>> DataSource.scala:487)
>>>>> at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.sc
>>>>> ala:211)
>>>>> at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.sc
>>>>> ala:194)
>>>>> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
>>>>> at
>>>>> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAcce
>>>>> ssorImpl.java:62)
>>>>> at
>>>>> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMe
>>>>> thodAccessorImpl.java:43)
>>>>> at java.lang.reflect.Method.invoke(Method.java:498)
>>>>> at
>>>>> org.apache.spark.api.r.RBackendHandler.handleMethodCall(RBac
>>>>> kendHandler.scala:141)
>>>>> at
>>>>> org.apache.spark.api.r.RBackendHandler.channelRead0(RBackend
>>>>> Handler.scala:86)
>>>>> at
>>>>> org.apache.spark.api.r.RBackendHandler.channelRead0(RBackend
>>>>> Handler.scala:38)
>>>>> at
>>>>> io.netty.channel.SimpleChannelInboundHandler.channelRead(Sim
>>>>> pleChannelInboundHandler.java:105)
>>>>> at
>>>>> io.netty.channel.AbstractChannelHandlerContext.invokeChannel
>>>>> Read(AbstractChannelHandlerContext.java:308)
>>>>> at
>>>>> io.netty.channel.AbstractChannelHandlerContext.fireChannelRe
>>>>> ad(AbstractChannelHandlerContext.java:294)
>>>>> at
>>>>> io.netty.handler.codec.MessageToMessageDecoder.channelRead(M
>>>>> essageToMessageDecoder.java:103)
>>>>> at
>>>>> io.netty.channel.AbstractChannelHandlerContext.invokeChannel
>>>>> Read(AbstractChannelHandlerContext.java:308)
>>>>> at
>>>>> io.netty.channel.AbstractChannelHandlerContext.fireChannelRe
>>>>> ad(AbstractChannelHandlerContext.java:294)
>>>>> at
>>>>> io.netty.handler.codec.ByteToMessageDecoder.channelRead(Byte
>>>>> ToMessageDecoder.java:244)
>>>>> at
>>>>> io.netty.channel.AbstractChannelHandlerContext.invokeChannel
>>>>> Read(AbstractChannelHandlerContext.java:308)
>>>>> at
>>>>> io.netty.channel.AbstractChannelHandlerContext.fireChannelRe
>>>>> ad(AbstractChannelHandlerContext.java:294)
>>>>> at
>>>>> io.netty.channel.DefaultChannelPipeline.fireChannelRead(Defa
>>>>> ultChannelPipeline.java:846)
>>>>> at
>>>>> io.netty.channel.nio.AbstractNioByteChannel$NioByteUnsafe.re
>>>>> ad(AbstractNioByteChannel.java:131)
>>>>> at
>>>>> io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEven
>>>>> tLoop.java:511)
>>>>> at
>>>>> io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimiz
>>>>> ed(NioEventLoop.java:468)
>>>>> at
>>>>> io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEve
>>>>> ntLoop.java:382)
>>>>> at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:354)
>>>>> at
>>>>> io.netty.util.concurrent.SingleThreadEventExecutor$2.run(Sin
>>>>> gleThreadEventExecutor.java:111)
>>>>> at
>>>>> io.netty.util.concurrent.DefaultThreadFactory$DefaultRunnabl
>>>>> eDecorator.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.InsertIntoHadoopF
>>>>> sRelationCommand$$anonfun$run$1.apply$mcV$sp(InsertIntoHadoo
>>>>> pFsRelationCommand.scala:149)
>>>>> at
>>>>> org.apache.spark.sql.execution.datasources.InsertIntoHadoopF
>>>>> sRelationCommand$$anonfun$run$1.apply(InsertIntoHadoopFsRela
>>>>> tionCommand.scala:115)
>>>>> at
>>>>> org.apache.spark.sql.execution.datasources.InsertIntoHadoopF
>>>>> sRelationCommand$$anonfun$run$1.apply(InsertIntoHadoopFsRela
>>>>> tionCommand.scala:115)
>>>>> at
>>>>> org.apache.spark.sql.execution.SQLExecution$.withNewExecutio
>>>>> nId(SQLExecution.scala:57)
>>>>> at
>>>>> org.apache.spark.sql.execution.datasources.InsertIntoHadoopF
>>>>> sRelationCommand.run(InsertIntoHadoopFsRelationCommand.scala:115)
>>>>> at
>>>>> org.apache.spark.sql.execution.command.ExecutedCommandExec.s
>>>>> ideEffectResult$lzycompute(commands.scala:60)
>>>>> at
>>>>> org.apache.spark.sql.execution.command.ExecutedCommandExec.s
>>>>> ideEffectResult(commands.scala:58)
>>>>> at org.apache.spark.sql.execution.command.ExecutedCommandExec.doE
>>>>>
>>>>>
>>>>>
>>>>>
>>>>> --
>>>>> View this message in context: http://apache-spark-user-list.
>>>>> 1001560.n3.nabble.com/write-df-is-failing-on-Spark-Cluster-t
>>>>> p27761.html
>>>>> Sent from the Apache Spark User List mailing list archive at
>>>>> Nabble.com.
>>>>>
>>>>> ---------------------------------------------------------------------
>>>>> To unsubscribe e-mail: user-unsubscr...@spark.apache.org
>>>>>
>>>>>
>>>>
>>>
>>>
>>> --
>>> Regards
>>>
>>> Sankar Mittapally
>>> Senior Software Engineer
>>>
>>
>>
>
>
> --
> Regards
>
> Sankar Mittapally
> Senior Software Engineer
>
