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From "Jianshi Huang (JIRA)" <j...@apache.org>
Subject [jira] [Created] (SPARK-4757) Yarn-client failed to start due to Wrong FS error in distCacheMgr.addResource
Date Fri, 05 Dec 2014 05:47:12 GMT
Jianshi Huang created SPARK-4757:
------------------------------------

             Summary: Yarn-client failed to start due to Wrong FS error in distCacheMgr.addResource
                 Key: SPARK-4757
                 URL: https://issues.apache.org/jira/browse/SPARK-4757
             Project: Spark
          Issue Type: Bug
          Components: YARN
    Affects Versions: 1.2.0, 1.3.0
            Reporter: Jianshi Huang


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)


According to Liancheng and Andrew, this hotfix might be the root cause:

 https://github.com/apache/spark/commit/38cb2c3a36a5c9ead4494cbc3dde008c2f0698ce


Jianshi



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