Are you able to manually delete the folder below? I'm wondering if there is
some sort of non-Spark factor involved (permissions, etc).
/nfspartition/sankar/banking_l1_v2.csv
On Tue, Sep 20, 2016 at 12:19 PM, Sankar Mittapally <
sankar.mittapa...@creditvidya.com> wrote:
> I used that one also
>
> On Sep 20, 2016 10:44 PM, "Kevin Mellott" <kevin.r.mell...@gmail.com>
> wrote:
>
>> 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
>>>
>>
>>
