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https://issues.apache.org/jira/browse/ZEPPELIN-24?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14392797#comment-14392797
]
Sebastian YEPES FERNANDEZ edited comment on ZEPPELIN-24 at 4/2/15 3:02 PM:
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Its strange as it work correctly when I run them from the spark-shell connected
to the same cluster (spark://n1.xxx.com:7077)
When I run sc.version, the zeppelin app appears in the Spark "Running
Applications"
{code}
"2AKYY8BY2": {
"id": "2AKYY8BY2",
"name": "spark",
"group": "spark",
"properties": {
"spark.cores.max": "10",
"spark.yarn.jar": "",
"master": "spark://n1.xxx.com:7077",
"zeppelin.spark.maxResult": "10000",
"zeppelin.dep.localrepo": "local-repo",
"spark.app.name": "Zeppelin",
"spark.executor.memory": "10g",
"zeppelin.spark.useHiveContext": "false",
"args": "",
"spark.home": "",
"zeppelin.spark.concurrentSQL": "false",
"zeppelin.pyspark.python": "python"
},
"interpreterGroup": [
{code}
{code}
zeppelin-env.sh
export MASTER="spark://n1.xxx.com:7077"
{code}
was (Author: syepes):
Its strange as it work correctly when I run them from the spark-shell connected
to the same cluster (spark://n1.xxx.com:7077)
{code}
"2AKYY8BY2": {
"id": "2AKYY8BY2",
"name": "spark",
"group": "spark",
"properties": {
"spark.cores.max": "10",
"spark.yarn.jar": "",
"master": "spark://n1.xxx.com:7077",
"zeppelin.spark.maxResult": "10000",
"zeppelin.dep.localrepo": "local-repo",
"spark.app.name": "Zeppelin",
"spark.executor.memory": "10g",
"zeppelin.spark.useHiveContext": "false",
"args": "",
"spark.home": "",
"zeppelin.spark.concurrentSQL": "false",
"zeppelin.pyspark.python": "python"
},
"interpreterGroup": [
{code}
> 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
>
> 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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