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Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2015/03/21 16:41:38 UTC
[jira] [Resolved] (SPARK-6445) IOException: Filesystem closed is
thrown while existing spark-sql console
[ https://issues.apache.org/jira/browse/SPARK-6445?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Owen resolved SPARK-6445.
------------------------------
Resolution: Duplicate
(Please search JIRA first)
> IOException: Filesystem closed is thrown while existing spark-sql console
> --------------------------------------------------------------------------
>
> Key: SPARK-6445
> URL: https://issues.apache.org/jira/browse/SPARK-6445
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.3.0
> Environment: hadoop version 2.2.0
> Reporter: Vinod KC
> Priority: Minor
>
> When exit the console of spark-sql， following exception thrown.
>
> Exception in thread "Thread-3" java.io.IOException: Filesystem closed
> at org.apache.hadoop.hdfs.DFSClient.checkOpen(DFSClient.java:629)
> at org.apache.hadoop.hdfs.DFSClient.getFileInfo(DFSClient.java:1677)
> at org.apache.hadoop.hdfs.DistributedFileSystem$17.doCall(DistributedFileSystem.java:1106)
> at org.apache.hadoop.hdfs.DistributedFileSystem$17.doCall(DistributedFileSystem.java:1102)
> at org.apache.hadoop.fs.FileSystemLinkResolver.resolve(FileSystemLinkResolver.java:81)
> at org.apache.hadoop.hdfs.DistributedFileSystem.getFileStatus(DistributedFileSystem.java:1102)
> at org.apache.hadoop.fs.FileSystem.exists(FileSystem.java:1397)
> at org.apache.spark.scheduler.EventLoggingListener.stop(EventLoggingListener.scala:196)
> at org.apache.spark.SparkContext$$anonfun$stop$4.apply(SparkContext.scala:1388)
> at org.apache.spark.SparkContext$$anonfun$stop$4.apply(SparkContext.scala:1388)
> at scala.Option.foreach(Option.scala:236)
> at org.apache.spark.SparkContext.stop(SparkContext.scala:1388)
> at org.apache.spark.sql.hive.thriftserver.SparkSQLEnv$.stop(SparkSQLEnv.scala:66)
> at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$$anon$1.run(SparkSQLCLIDriver.scala:107)
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