You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2017/07/17 07:54:00 UTC
[jira] [Resolved] (SPARK-21431) Unable to parallelize a list in
Scala
[ https://issues.apache.org/jira/browse/SPARK-21431?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Owen resolved SPARK-21431.
-------------------------------
Resolution: Not A Problem
> Unable to parallelize a list in Scala
> -------------------------------------
>
> Key: SPARK-21431
> URL: https://issues.apache.org/jira/browse/SPARK-21431
> Project: Spark
> Issue Type: Task
> Components: Spark Submit, Structured Streaming
> Affects Versions: 2.1.0
> Reporter: Mounika
>
> I am using RabbitMQ spark streaming connector to process AVRO messages and I am unable to parallelize a list in scala, getting java.lang.NullPointerException. The same worked when I was using Kafka spark connector
> messages.foreachRDD( rdd => {
> for(avroLine <- rdd){
> val record = Injection.injection.invert(avroLine.getBytes).get
> val field1Value = record.get("username")
> val jsonStrings=Seq(record.toString())
> val newRow = sqlContext.sparkContext.parallelize(Seq(record.toString()))
> }
> })
> Output: jsonStrings...List({"username": "user_118", "tweet": "tweet_218", "timestamp": 18})
> Exception:
> Caused by: java.lang.NullPointerException
> at com.capitalone.AvroConsumer$$anonfun$main$1$$anonfun$apply$1.apply(AvroConsumer.scala:83)
> at com.capitalone.AvroConsumer$$anonfun$main$1$$anonfun$apply$1.apply(AvroConsumer.scala:74)
> at scala.collection.Iterator$class.foreach(Iterator.scala:893)
> at org.apache.spark.util.CompletionIterator.foreach(CompletionIterator.scala:26)
> at org.apache.spark.rdd.RDD$$anonfun$foreach$1$$anonfun$apply$28.apply(RDD.scala:917)
> at org.apache.spark.rdd.RDD$$anonfun$foreach$1$$anonfun$apply$28.apply(RDD.scala:917)
> at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1944)
> at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1944)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
> at org.apache.spark.scheduler.Task.run(Task.scala:99)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282)
> 17/07/16 19:11:00 WARN TaskSetManager: Lost task 0.0 in stage 47.0 (TID 47, localhost, executor driver): java.lang.NullPointerException
> at com.capitalone.AVROMqStreaming$$anonfun$main$1$$anonfun$apply$1.apply(AVROMqStreaming.scala:56)
> at com.capitalone.AVROMqStreaming$$anonfun$main$1$$anonfun$apply$1.apply(AVROMqStreaming.scala:46)
> at scala.collection.Iterator$class.foreach(Iterator.scala:893)
> at org.apache.spark.util.CompletionIterator.foreach(CompletionIterator.scala:26)
> at org.apache.spark.rdd.RDD$$anonfun$foreach$1$$anonfun$apply$28.apply(RDD.scala:917)
> at org.apache.spark.rdd.RDD$$anonfun$foreach$1$$anonfun$apply$28.apply(RDD.scala:917)
> at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1944)
> at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1944)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
> at org.apache.spark.scheduler.Task.run(Task.scala:99)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
> Thanks in Advance!!
--
This message was sent by Atlassian JIRA
(v6.4.14#64029)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org