Mounika created SPARK-21431:
-------------------------------
Summary: 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!!
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