spark-issues mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "Reynold Xin (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SPARK-5235) Determine serializability of SQLContext
Date Wed, 14 Jan 2015 19:42:35 GMT

     [ https://issues.apache.org/jira/browse/SPARK-5235?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Reynold Xin updated SPARK-5235:
-------------------------------
    Issue Type: Sub-task  (was: Bug)
        Parent: SPARK-5166

> Determine serializability of SQLContext
> ---------------------------------------
>
>                 Key: SPARK-5235
>                 URL: https://issues.apache.org/jira/browse/SPARK-5235
>             Project: Spark
>          Issue Type: Sub-task
>            Reporter: Alex Baretta
>
> The SQLConf field in SQLContext is neither Serializable nor transient. Here's the stack
trace I get when running SQL queries against a Parquet file.
> {code}
> Exception in thread "Thread-43" org.apache.spark.SparkException: Job aborted due to stage
failure: Task not serializable: java.io.NotSerializableException: org.apache.spark.sql.SQLConf
>         at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1195)
>         at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1184)
>         at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1183)
>         at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
>         at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
>         at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1183)
>         at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$submitMissingTasks(DAGScheduler.scala:843)
>         at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$submitStage(DAGScheduler.scala:779)
>         at org.apache.spark.scheduler.DAGScheduler.handleJobSubmitted(DAGScheduler.scala:763)
>         at org.apache.spark.scheduler.DAGSchedulerEventProcessActor$$anonfun$receive$2.applyOrElse(DAGScheduler.scala:1364)
>         at akka.actor.Actor$class.aroundReceive(Actor.scala:465)
>         at org.apache.spark.scheduler.DAGSchedulerEventProcessActor.aroundReceive(DAGScheduler.scala:1356)
>         at akka.actor.ActorCell.receiveMessage(ActorCell.scala:516)
>         at akka.actor.ActorCell.invoke(ActorCell.scala:487)
>         at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:238)
>         at akka.dispatch.Mailbox.run(Mailbox.scala:220)
>         at akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:393)
>         at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
>         at scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
>         at scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
>         at scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
> {code}



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org


Mime
View raw message