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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2019/03/17 10:58:00 UTC
[jira] [Assigned] (SPARK-27183) YarnConfiguration in
ApplicationMaster should be cluster-specific
[ https://issues.apache.org/jira/browse/SPARK-27183?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-27183:
------------------------------------
Assignee: (was: Apache Spark)
> YarnConfiguration in ApplicationMaster should be cluster-specific
> -----------------------------------------------------------------
>
> Key: SPARK-27183
> URL: https://issues.apache.org/jira/browse/SPARK-27183
> Project: Spark
> Issue Type: Bug
> Components: YARN
> Affects Versions: 2.3.2, 2.4.0
> Reporter: Kent Yao
> Priority: Major
>
> YarnConfiguration in ApplicationMaster should be cluster specified. In an kerberized yarn cluster with multiple hdfs federations, spark apps will write credentials files to a client determined hdfs cluster but not the yarn default hdfs of yarn cluster.
> You may see error like this while the application master updating tokens.
> {code:java}
> java.lang.IllegalArgumentException: Wrong FS: hdfs://hz-cluster10/user/kyuubi/.sparkStaging/application_1552217598813_752210, expected: hdfs://hz-cluster7
> at org.apache.hadoop.fs.FileSystem.checkPath(FileSystem.java:649)
> at org.apache.hadoop.hdfs.DistributedFileSystem.getPathName(DistributedFileSystem.java:194)
> at org.apache.hadoop.hdfs.DistributedFileSystem.listStatusInternal(DistributedFileSystem.java:788)
> at org.apache.hadoop.hdfs.DistributedFileSystem.access$700(DistributedFileSystem.java:106)
> at org.apache.hadoop.hdfs.DistributedFileSystem$18.doCall(DistributedFileSystem.java:853)
> at org.apache.hadoop.hdfs.DistributedFileSystem$18.doCall(DistributedFileSystem.java:849)
> at org.apache.hadoop.fs.FileSystemLinkResolver.resolve(FileSystemLinkResolver.java:81)
> at org.apache.hadoop.hdfs.DistributedFileSystem.listStatus(DistributedFileSystem.java:860)
> at org.apache.hadoop.fs.FileSystem.listStatus(FileSystem.java:1517)
> at org.apache.hadoop.fs.FileSystem.listStatus(FileSystem.java:1557)
> at org.apache.spark.deploy.SparkHadoopUtil.listFilesSorted(SparkHadoopUtil.scala:267)
> at org.apache.spark.deploy.yarn.security.AMCredentialRenewer.org$apache$spark$deploy$yarn$security$AMCredentialRenewer$$writeNewCredentialsToHDFS(AMCredentialRenewer.scala:210)
> at org.apache.spark.deploy.yarn.security.AMCredentialRenewer$$anon$1.run(AMCredentialRenewer.scala:107)
> at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
> at java.util.concurrent.FutureTask.run(FutureTask.java:266)
> at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$201(ScheduledThreadPoolExecutor.java:180)
> at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:293)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
> {code}
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