Fw: Issue with Spark Streaming with checkpointing in Spark 2.0

[Arijit]

Resending, not sure if had sent to user@spark.apache.org earlier.


Thanks, Arijit


________________________________
From: Arijit <arij...@live.com>
Sent: Friday, October 7, 2016 6:06 PM
To: user@spark.apache.org
Subject: Issue with Spark Streaming with checkpointing in Spark 2.0


In a Spark Streaming sample code I am trying to implicitly convert an RDD to DS 
and save to permanent storage. Below is the snippet of the code I am trying to 
run. The job runs fine first time when started with the checkpoint directory 
empty. However, if I kill and restart the job with the same checkpoint 
directory I get the following error resulting in job failure:


16/10/07 23:42:50 ERROR JobScheduler: Error running job streaming job 
1475883550000 ms.0
java.lang.NullPointerException
 at org.apache.spark.sql.SQLImplicits.rddToDatasetHolder(SQLImplicits.scala:163)
 at 
com.microsoft.spark.streaming.examples.workloads.EventhubsToAzureBlobAsJSON$$anonfun$createStreamingContext$2.apply(EventhubsToAzureBlobAsJSON.scala:72)
 at 
com.microsoft.spark.streaming.examples.workloads.EventhubsToAzureBlobAsJSON$$anonfun$createStreamingContext$2.apply(EventhubsToAzureBlobAsJSON.scala:72)
 at 
org.apache.spark.streaming.dstream.DStream$$anonfun$foreachRDD$1$$anonfun$apply$mcV$sp$3.apply(DStream.scala:627)
 at 
org.apache.spark.streaming.dstream.DStream$$anonfun$foreachRDD$1$$anonfun$apply$mcV$sp$3.apply(DStream.scala:627)
 at 
org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1$$anonfun$apply$mcV$sp$1.apply$mcV$sp(ForEachDStream.scala:51)
 at 
org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1$$anonfun$apply$mcV$sp$1.apply(ForEachDStream.scala:51)
 at 
org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1$$anonfun$apply$mcV$sp$1.apply(ForEachDStream.scala:51)
 at 
org.apache.spark.streaming.dstream.DStream.createRDDWithLocalProperties(DStream.scala:415)
 at 
org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1.apply$mcV$sp(ForEachDStream.scala:50)
 at 
org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1.apply(ForEachDStream.scala:50)
 at 
org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1.apply(ForEachDStream.scala:50)
 at scala.util.Try$.apply(Try.scala:192)
 at org.apache.spark.streaming.scheduler.Job.run(Job.scala:39)
 at 
org.apache.spark.streaming.scheduler.JobScheduler$JobHandler$$anonfun$run$1.apply$mcV$sp(JobScheduler.scala:245)
 at 
org.apache.spark.streaming.scheduler.JobScheduler$JobHandler$$anonfun$run$1.apply(JobScheduler.scala:245)
 at 
org.apache.spark.streaming.scheduler.JobScheduler$JobHandler$$anonfun$run$1.apply(JobScheduler.scala:245)
 at scala.util.DynamicVariable.withValue(DynamicVariable.scala:58)
 at 
org.apache.spark.streaming.scheduler.JobScheduler$JobHandler.run(JobScheduler.scala:244)
 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)
16/10/07 23:42:50 INFO SparkContext: Starting job: print at 
EventhubsToAzureBlobAsJSON.scala:93


Does anyone have any sample recoverable Spark Streaming code using Spark 
Session constructs of 2.0?


object EventhubsToAzureBlobAsJSON {

  def createStreamingContext(inputOptions: ArgumentMap): StreamingContext = {

    .....

    val sparkSession : SparkSession = 
SparkSession.builder.config(sparkConfiguration).getOrCreate

    import sparkSession.implicits._

    val streamingContext = new StreamingContext(sparkSession.sparkContext,
      
Seconds(inputOptions(Symbol(EventhubsArgumentKeys.BatchIntervalInSeconds)).asInstanceOf[Int]))
    
streamingContext.checkpoint(inputOptions(Symbol(EventhubsArgumentKeys.CheckpointDirectory)).asInstanceOf[String])

    val eventHubsStream = EventHubsUtils.createUnionStream(streamingContext, 
eventHubsParameters)

    val eventHubsWindowedStream = eventHubsStream
      
.window(Seconds(inputOptions(Symbol(EventhubsArgumentKeys.BatchIntervalInSeconds)).asInstanceOf[Int]))

    /**
      * This fails on restart
      */

    eventHubsWindowedStream.map(x => EventContent(new String(x)))
      .foreachRDD(rdd => rdd.toDS.toJSON.write.mode(SaveMode.Overwrite)
        .save(inputOptions(Symbol(EventhubsArgumentKeys.EventStoreFolder))
          .asInstanceOf[String]))

    /**
      * This runs fine on restart
      */

    /*
    eventHubsWindowedStream.map(x => EventContent(new String(x)))
      .foreachRDD(rdd => 
rdd.saveAsTextFile(inputOptions(Symbol(EventhubsArgumentKeys.EventStoreFolder))
          .asInstanceOf[String], classOf[GzipCodec]))
    */

    .....

  }

  def main(inputArguments: Array[String]): Unit = {

    val inputOptions = EventhubsArgumentParser.parseArguments(Map(), 
inputArguments.toList)

    
EventhubsArgumentParser.verifyEventhubsToAzureBlobAsJSONArguments(inputOptions)

    //Create or recreate streaming context

    val streamingContext = StreamingContext
      
.getOrCreate(inputOptions(Symbol(EventhubsArgumentKeys.CheckpointDirectory)).asInstanceOf[String],
        () => createStreamingContext(inputOptions))

    streamingContext.start()

    if(inputOptions.contains(Symbol(EventhubsArgumentKeys.TimeoutInMinutes))) {

      
streamingContext.awaitTerminationOrTimeout(inputOptions(Symbol(EventhubsArgumentKeys.TimeoutInMinutes))
        .asInstanceOf[Long] * 60 * 1000)
    }
    else {

      streamingContext.awaitTermination()
    }
  }
}


Thanks, Arijit