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https://issues.apache.org/jira/browse/ZEPPELIN-24?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sebastian YEPES FERNANDEZ updated ZEPPELIN-24:
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Attachment: Spark Stages.png
> Exception when reading files: textFile / parquetFile
> ----------------------------------------------------
>
> Key: ZEPPELIN-24
> URL: https://issues.apache.org/jira/browse/ZEPPELIN-24
> Project: Zeppelin
> Issue Type: Bug
> Components: Core
> Affects Versions: 0.5.0
> Reporter: Sebastian YEPES FERNANDEZ
> Attachments: Spark Stages.png
>
>
> Hello,
> I have just encountered the following issue when running the last version
> #b6768c, Has anyone encountered this issue as well?
> Build options:
> -Phadoop-2.4 -Dhadoop.version=2.4.0 -Pspark-1.3 -Dspark.version=1.3.0
> {code:title=%Spark|borderStyle=solid}
> val bankText = sc.textFile("/data/bank-full.csv")
> bankText: org.apache.spark.rdd.RDD[String] = /data/bank-full.csv
> MapPartitionsRDD[1] at textFile at <console>:23
> bankText.count
> org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in
> stage 0.0 failed 4 times, most recent failure: Lost task 0.3 in stage 0.0
> (TID 7, n1): ExecutorLostFailure (executor 3 lost)
> Driver stacktrace:
> at
> org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1203)
> at
> org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1192)
> at
> org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1191)
> at
> scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
> at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
> at
> org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1191)
> at
> org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:693)
> at
> org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:693)
> at scala.Option.foreach(Option.scala:236)
> at
> org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:693)
> at
> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1393)
> at
> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1354)
> at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
> {code}
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