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How to use foreach (add each entry to solr) in foreachRDD to spark?

I am having an issue with spark flow for design patterns to use foreachRDD.

I applied the patten design like this. http://spark.apache.org/docs/latest/streaming-programming-guide.html

- Sample code example

dstream.foreachRDD(rdd => {
  rdd.foreachPartition(partitionOfRecords => {
    // ConnectionPool is a static, lazily initialized pool of connections
    val connection = ConnectionPool.getConnection()
    partitionOfRecords.foreach(record => connection.send(record))
    ConnectionPool.returnConnection(connection)  // return to the pool for future reuse
  })
})

- My code

dsteam.foreachRDD( rdd => {  
  rdd.foreachPartition(partitionOfRecords => {
    val connection = SolrConnectionPool.getConnection()           
    partitionOfRecords.foreach(record => connection.add(makeSolrInputDocument(record)))
    SolrConnectionPool.returnConnection(connection)
  })
})

** Error logs received **

> log4j:WARN Please initialize the log4j system properly.
log4j:WARN See http://logging.apache.org/log4j/1.2/faq.html#noconfig for more info.
 init cloudSolrServer ===== > org.apache.solr.client.solrj.impl.CloudSolrServer@157dbcd4
 init cloudSolrServer ===== > org.apache.solr.client.solrj.impl.CloudSolrServer@6fa2fa45
 init cloudSolrServer ===== > org.apache.solr.client.solrj.impl.CloudSolrServer@5802ffe7
...................... (skip)  
14/10/17 13:22:01 INFO JobScheduler: Finished job streaming job 1413519720000 ms.0 from job set of time 1413519720000 ms
14/10/17 13:22:01 INFO JobScheduler: Starting job streaming job 1413519720000 ms.1 from job set of time 1413519720000 ms
14/10/17 13:22:01 INFO SparkContext: Starting job: foreachPartition at SbclogCep.scala:49
14/10/17 13:22:01 INFO DAGScheduler: Got job 1 (foreachPartition at SbclogCep.scala:49) with 1 output partitions (allowLocal=false)
14/10/17 13:22:01 INFO DAGScheduler: Final stage: Stage 1(foreachPartition at SbclogCep.scala:49)
-------------------------------------------
Time: 1413519730000 ms
-------------------------------------------

14/10/17 13:22:57 INFO SparkContext: Starting job: foreachPartition at SbclogCep.scala:49
14/10/17 13:22:57 INFO TaskSchedulerImpl: Cancelling stage 1
14/10/17 13:22:57 INFO JobScheduler: Starting job streaming job 1413519730000 ms.0 from job set of time 1413519730000 ms
14/10/17 13:22:57 INFO JobScheduler: Finished job streaming job 1413519730000 ms.0 from job set of time 1413519730000 ms
14/10/17 13:22:57 INFO JobScheduler: Starting job streaming job 1413519730000 ms.1 from job set of time 1413519730000 ms
14/10/17 13:22:57 ERROR JobScheduler: Error running job streaming job 1413519720000 ms.1
org.apache.spark.SparkException: Job aborted due to stage failure: All masters are unresponsive! Giving up.
    at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1033)
    at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1017)
    at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1015)
    at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
    at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
    at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1015)
    at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:633)
    at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:633)
    at scala.Option.foreach(Option.scala:236)
    at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:633)
    at org.apache.spark.scheduler.DAGSchedulerEventProcessActor$$anonfun$receive$2.applyOrElse(DAGScheduler.scala:1207)
    at akka.actor.ActorCell.receiveMessage(ActorCell.scala:498)
    at akka.actor.ActorCell.invoke(ActorCell.scala:456)
    at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:237)
    at akka.dispatch.Mailbox.run(Mailbox.scala:219)
    at akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:386)
    at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
    at scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
    at scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
    at scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
14/10/17 13:22:57 INFO SparkContext: Job finished: foreachPartition at SbclogCep.scala:49, took 2.6276E-5 s
-------------------------------------------
Time: 1413519740000 ms
-------------------------------------------

Exception in thread "main" org.apache.spark.SparkException: Job aborted due to stage failure: All masters are unresponsive! Giving up.
    at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1033)
    at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1017)
    at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1015)
    at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
    at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
    at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1015)
    at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:633)
    at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:633)
    at scala.Option.foreach(Option.scala:236)
    at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:633)
    at org.apache.spark.scheduler.DAGSchedulerEventProcessActor$$anonfun$receive$2.applyOrElse(DAGScheduler.scala:1207)
    at akka.actor.ActorCell.receiveMessage(ActorCell.scala:498)
    at akka.actor.ActorCell.invoke(ActorCell.scala:456)
    at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:237)
    at akka.dispatch.Mailbox.run(Mailbox.scala:219)
    at akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:386)
    at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
    at scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
    at scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
    at scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)

ForeachRDD not working ... How do I do this? Please help me..

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