Jianshi Huang created SPARK-4757:
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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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