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Posted to issues@spark.apache.org by "Thomas Graves (JIRA)" <ji...@apache.org> on 2016/06/15 14:11:09 UTC
[jira] [Resolved] (SPARK-15046) When running hive-thriftserver with
yarn on a secure cluster the workers fail with
java.lang.NumberFormatException
[ https://issues.apache.org/jira/browse/SPARK-15046?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Thomas Graves resolved SPARK-15046.
-----------------------------------
Resolution: Fixed
Fix Version/s: 2.0.0
> When running hive-thriftserver with yarn on a secure cluster the workers fail with java.lang.NumberFormatException
> ------------------------------------------------------------------------------------------------------------------
>
> Key: SPARK-15046
> URL: https://issues.apache.org/jira/browse/SPARK-15046
> Project: Spark
> Issue Type: Bug
> Components: YARN
> Affects Versions: 2.0.0
> Reporter: Trystan Leftwich
> Assignee: Marcelo Vanzin
> Priority: Blocker
> Fix For: 2.0.0
>
>
> When running hive-thriftserver with yarn on a secure cluster (spark.yarn.principal and spark.yarn.keytab are set) the workers fail with the following error.
> {code}
> 16/04/30 22:40:50 ERROR yarn.ApplicationMaster: Uncaught exception:
> java.lang.NumberFormatException: For input string: "86400079ms"
> at java.lang.NumberFormatException.forInputString(NumberFormatException.java:65)
> at java.lang.Long.parseLong(Long.java:441)
> at java.lang.Long.parseLong(Long.java:483)
> at scala.collection.immutable.StringLike$class.toLong(StringLike.scala:276)
> at scala.collection.immutable.StringOps.toLong(StringOps.scala:29)
> at org.apache.spark.SparkConf$$anonfun$getLong$2.apply(SparkConf.scala:380)
> at org.apache.spark.SparkConf$$anonfun$getLong$2.apply(SparkConf.scala:380)
> at scala.Option.map(Option.scala:146)
> at org.apache.spark.SparkConf.getLong(SparkConf.scala:380)
> at org.apache.spark.deploy.SparkHadoopUtil.getTimeFromNowToRenewal(SparkHadoopUtil.scala:289)
> at org.apache.spark.deploy.yarn.AMDelegationTokenRenewer.org$apache$spark$deploy$yarn$AMDelegationTokenRenewer$$scheduleRenewal$1(AMDelegationTokenRenewer.scala:89)
> at org.apache.spark.deploy.yarn.AMDelegationTokenRenewer.scheduleLoginFromKeytab(AMDelegationTokenRenewer.scala:121)
> at org.apache.spark.deploy.yarn.ApplicationMaster$$anonfun$run$3.apply(ApplicationMaster.scala:243)
> at org.apache.spark.deploy.yarn.ApplicationMaster$$anonfun$run$3.apply(ApplicationMaster.scala:243)
> at scala.Option.foreach(Option.scala:257)
> at org.apache.spark.deploy.yarn.ApplicationMaster.run(ApplicationMaster.scala:243)
> at org.apache.spark.deploy.yarn.ApplicationMaster$$anonfun$main$1.apply$mcV$sp(ApplicationMaster.scala:723)
> at org.apache.spark.deploy.SparkHadoopUtil$$anon$1.run(SparkHadoopUtil.scala:67)
> at org.apache.spark.deploy.SparkHadoopUtil$$anon$1.run(SparkHadoopUtil.scala:66)
> at java.security.AccessController.doPrivileged(Native Method)
> at javax.security.auth.Subject.doAs(Subject.java:415)
> at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1628)
> at org.apache.spark.deploy.SparkHadoopUtil.runAsSparkUser(SparkHadoopUtil.scala:66)
> at org.apache.spark.deploy.yarn.ApplicationMaster$.main(ApplicationMaster.scala:721)
> at org.apache.spark.deploy.yarn.ExecutorLauncher$.main(ApplicationMaster.scala:748)
> at org.apache.spark.deploy.yarn.ExecutorLauncher.main(ApplicationMaster.scala)
> {code}
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