Thanks for flagging this. I reverted the relevant YARN fix in Spark
1.2 release. We can try to debug this in master.

On Thu, Dec 4, 2014 at 9:51 PM, Jianshi Huang <jianshi.hu...@gmail.com> wrote:
> I created a ticket for this:
>
>   https://issues.apache.org/jira/browse/SPARK-4757
>
>
> Jianshi
>
> On Fri, Dec 5, 2014 at 1:31 PM, Jianshi Huang <jianshi.hu...@gmail.com>
> wrote:
>>
>> Correction:
>>
>> According to Liancheng, this hotfix might be the root cause:
>>
>>
>> https://github.com/apache/spark/commit/38cb2c3a36a5c9ead4494cbc3dde008c2f0698ce
>>
>> Jianshi
>>
>> On Fri, Dec 5, 2014 at 12:45 PM, Jianshi Huang <jianshi.hu...@gmail.com>
>> wrote:
>>>
>>> Looks like the datanucleus*.jar shouldn't appear in the hdfs path in
>>> Yarn-client mode.
>>>
>>> Maybe this patch broke yarn-client.
>>>
>>>
>>> https://github.com/apache/spark/commit/a975dc32799bb8a14f9e1c76defaaa7cfbaf8b53
>>>
>>> Jianshi
>>>
>>> On Fri, Dec 5, 2014 at 12:02 PM, Jianshi Huang <jianshi.hu...@gmail.com>
>>> wrote:
>>>>
>>>> Actually my HADOOP_CLASSPATH has already been set to include
>>>> /etc/hadoop/conf/*
>>>>
>>>> export
>>>> HADOOP_CLASSPATH=/etc/hbase/conf/hbase-site.xml:/usr/lib/hbase/lib/hbase-protocol.jar:$(hbase
>>>> classpath)
>>>>
>>>> Jianshi
>>>>
>>>> On Fri, Dec 5, 2014 at 11:54 AM, Jianshi Huang <jianshi.hu...@gmail.com>
>>>> wrote:
>>>>>
>>>>> Looks like somehow Spark failed to find the core-site.xml in
>>>>> /et/hadoop/conf
>>>>>
>>>>> I've already set the following env variables:
>>>>>
>>>>> export YARN_CONF_DIR=/etc/hadoop/conf
>>>>> export HADOOP_CONF_DIR=/etc/hadoop/conf
>>>>> export HBASE_CONF_DIR=/etc/hbase/conf
>>>>>
>>>>> Should I put $HADOOP_CONF_DIR/* to HADOOP_CLASSPATH?
>>>>>
>>>>> Jianshi
>>>>>
>>>>> On Fri, Dec 5, 2014 at 11:37 AM, Jianshi Huang
>>>>> <jianshi.hu...@gmail.com> wrote:
>>>>>>
>>>>>> I got the following error during Spark startup (Yarn-client mode):
>>>>>>
>>>>>> 14/12/04 19:33:58 INFO Client: Uploading resource
>>>>>> file:/x/home/jianshuang/spark/spark-latest/lib/datanucleus-api-jdo-3.2.6.jar
>>>>>> ->
>>>>>> hdfs://stampy/user/jianshuang/.sparkStaging/application_1404410683830_531767/datanucleus-api-jdo-3.2.6.jar
>>>>>> java.lang.IllegalArgumentException: Wrong FS:
>>>>>> hdfs://stampy/user/jianshuang/.sparkStaging/application_1404410683830_531767/datanucleus-api-jdo-3.2.6.jar,
>>>>>> expected: file:///
>>>>>>         at
>>>>>> org.apache.hadoop.fs.FileSystem.checkPath(FileSystem.java:643)
>>>>>>         at
>>>>>> org.apache.hadoop.fs.RawLocalFileSystem.pathToFile(RawLocalFileSystem.java:79)
>>>>>>         at
>>>>>> org.apache.hadoop.fs.RawLocalFileSystem.deprecatedGetFileStatus(RawLocalFileSystem.java:506)
>>>>>>         at
>>>>>> org.apache.hadoop.fs.RawLocalFileSystem.getFileLinkStatusInternal(RawLocalFileSystem.java:724)
>>>>>>         at
>>>>>> org.apache.hadoop.fs.RawLocalFileSystem.getFileStatus(RawLocalFileSystem.java:501)
>>>>>>         at
>>>>>> org.apache.hadoop.fs.FilterFileSystem.getFileStatus(FilterFileSystem.java:397)
>>>>>>         at
>>>>>> org.apache.spark.deploy.yarn.ClientDistributedCacheManager.addResource(ClientDistributedCacheManager.scala:67)
>>>>>>         at
>>>>>> org.apache.spark.deploy.yarn.ClientBase$$anonfun$prepareLocalResources$5.apply(ClientBase.scala:257)
>>>>>>         at
>>>>>> org.apache.spark.deploy.yarn.ClientBase$$anonfun$prepareLocalResources$5.apply(ClientBase.scala:242)
>>>>>>         at scala.Option.foreach(Option.scala:236)
>>>>>>         at
>>>>>> org.apache.spark.deploy.yarn.ClientBase$class.prepareLocalResources(ClientBase.scala:242)
>>>>>>         at
>>>>>> org.apache.spark.deploy.yarn.Client.prepareLocalResources(Client.scala:35)
>>>>>>         at
>>>>>> org.apache.spark.deploy.yarn.ClientBase$class.createContainerLaunchContext(ClientBase.scala:350)
>>>>>>         at
>>>>>> org.apache.spark.deploy.yarn.Client.createContainerLaunchContext(Client.scala:35)
>>>>>>         at
>>>>>> org.apache.spark.deploy.yarn.Client.submitApplication(Client.scala:80)
>>>>>>         at
>>>>>> org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.start(YarnClientSchedulerBackend.scala:57)
>>>>>>         at
>>>>>> org.apache.spark.scheduler.TaskSchedulerImpl.start(TaskSchedulerImpl.scala:140)
>>>>>>         at
>>>>>> org.apache.spark.SparkContext.<init>(SparkContext.scala:335)
>>>>>>         at
>>>>>> org.apache.spark.repl.SparkILoop.createSparkContext(SparkILoop.scala:986)
>>>>>>         at $iwC$$iwC.<init>(<console>:9)
>>>>>>         at $iwC.<init>(<console>:18)
>>>>>>         at <init>(<console>:20)
>>>>>>         at .<init>(<console>:24)
>>>>>>
>>>>>> I'm using latest Spark built from master HEAD yesterday. Is this a
>>>>>> bug?
>>>>>>
>>>>>> --
>>>>>> Jianshi Huang
>>>>>>
>>>>>> LinkedIn: jianshi
>>>>>> Twitter: @jshuang
>>>>>> Github & Blog: http://huangjs.github.com/
>>>>>
>>>>>
>>>>>
>>>>>
>>>>> --
>>>>> Jianshi Huang
>>>>>
>>>>> LinkedIn: jianshi
>>>>> Twitter: @jshuang
>>>>> Github & Blog: http://huangjs.github.com/
>>>>
>>>>
>>>>
>>>>
>>>> --
>>>> Jianshi Huang
>>>>
>>>> LinkedIn: jianshi
>>>> Twitter: @jshuang
>>>> Github & Blog: http://huangjs.github.com/
>>>
>>>
>>>
>>>
>>> --
>>> Jianshi Huang
>>>
>>> LinkedIn: jianshi
>>> Twitter: @jshuang
>>> Github & Blog: http://huangjs.github.com/
>>
>>
>>
>>
>> --
>> Jianshi Huang
>>
>> LinkedIn: jianshi
>> Twitter: @jshuang
>> Github & Blog: http://huangjs.github.com/
>
>
>
>
> --
> Jianshi Huang
>
> LinkedIn: jianshi
> Twitter: @jshuang
> Github & Blog: http://huangjs.github.com/

---------------------------------------------------------------------
To unsubscribe, e-mail: user-unsubscr...@spark.apache.org
For additional commands, e-mail: user-h...@spark.apache.org

Reply via email to