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https://issues.apache.org/jira/browse/SPARK-17245?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15437809#comment-15437809
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Apache Spark commented on SPARK-17245:
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User 'yhuai' has created a pull request for this issue:
https://github.com/apache/spark/pull/14816
> NPE thrown by ClientWrapper.conf
> --------------------------------
>
> Key: SPARK-17245
> URL: https://issues.apache.org/jira/browse/SPARK-17245
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.6.2
> Reporter: Yin Huai
>
> This issue has been fixed in Spark 2.0. Seems ClientWrapper.conf is trying to
> access the ThreadLocal SessionState, which has been set.
> {code}
> java.lang.NullPointerException
> at
> org.apache.spark.sql.hive.client.ClientWrapper.conf(ClientWrapper.scala:225)
> at
> org.apache.spark.sql.hive.client.ClientWrapper.client(ClientWrapper.scala:279)
>
> at
> org.apache.spark.sql.hive.client.ClientWrapper$$anonfun$withHiveState$1.apply(ClientWrapper.scala:291)
>
> at
> org.apache.spark.sql.hive.client.ClientWrapper.liftedTree1$1(ClientWrapper.scala:246)
>
> at
> org.apache.spark.sql.hive.client.ClientWrapper.retryLocked(ClientWrapper.scala:245)
>
> at
> org.apache.spark.sql.hive.client.ClientWrapper.withHiveState(ClientWrapper.scala:288)
>
> at
> org.apache.spark.sql.hive.client.ClientWrapper.runHive(ClientWrapper.scala:493)
>
> at
> org.apache.spark.sql.hive.client.ClientWrapper.runSqlHive(ClientWrapper.scala:483)
>
> at
> org.apache.spark.sql.hive.client.ClientWrapper.addJar(ClientWrapper.scala:603)
>
> at org.apache.spark.sql.hive.HiveContext.addJar(HiveContext.scala:654)
> at org.apache.spark.sql.hive.execution.AddJar.run(commands.scala:105)
> at
> org.apache.spark.sql.execution.ExecutedCommand.sideEffectResult$lzycompute(commands.scala:58)
>
> at
> org.apache.spark.sql.execution.ExecutedCommand.sideEffectResult(commands.scala:56)
>
> at
> org.apache.spark.sql.execution.ExecutedCommand.doExecute(commands.scala:70)
> at
> org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$5.apply(SparkPlan.scala:132)
>
> at
> org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$5.apply(SparkPlan.scala:130)
>
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:150)
>
> at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:130)
> at
> org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:55)
>
> at
> org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:55)
> at org.apache.spark.sql.DataFrame.<init>(DataFrame.scala:145)
> at org.apache.spark.sql.DataFrame.<init>(DataFrame.scala:130)
> at org.apache.spark.sql.DataFrame$.apply(DataFrame.scala:52)
> at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:816)
> {code}
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