Yeah I can do all operations on that folder
On Sep 21, 2016 12:15 AM, "Kevin Mellott" <kevin.r.mell...@gmail.com> wrote:
> 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.mittapally@
> 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
>>>>
>>>
>>>
>
