[SPARK-21431] Unable to parallelize a list in Scala

• Type: Task
• Status: Resolved
• Priority: Major
• Resolution: Not A Problem
• Affects Version/s: 2.1.0
• Component/s: Spark Submit, Structured Streaming
• Assignee: Unassigned
• Reporter: Mounika
• Created: 16/Jul/17 23:15
• Updated: 17/Jul/17 07:53
• Resolved: 17/Jul/17 07:53

Description

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!!