I am getting this "ERROR actor.OneForOneStrategy: key not found:" exception
when I run my code and I'm not sure where it is looking for a key. My set
up is I send packets to a third party service which then uses a webhook to
hit one of our servers, which then logs it using kafka. I am just trying to
total up the number of elements/packets that come in using
".countByWindow(Seconds(30), Seconds(15)).print()". I don't see anything in
the docs about countByWindow demanding a key value pair.
I still see counts as an output so I'm thinking the exception is hurting
anything...
Also I am confused about some of the counts. I start Spark up and it has
been producing counts greater than zero when I haven't sent any data packets
since the start of that run. Are there packets saved that didn't get pushed
through from the last session? This seems odd, I would think the count
would produce 0 if I haven't sent any data...
I'll post the code and exception error trace below, thanks for any help!
import org.apache.spark.streaming.kafka._
import org.apache.spark.SparkConf
object RunningPageTotal {
def main(args: Array[String]) {
val ssc = new StreamingContext("local[2]", "PageHitTotals", Seconds(5))
ssc.checkpoint("checkpoint")
val topicMap = Map("User.Profile.Page.Hits" -> 1)
val pageHitStream = KafkaUtils.createStream(ssc,
"Zookeeper_1,Zookeeper_1,Zookeeper_3", "Cons1", topicMap).map(_._2)
val totalHits = pageHitStream.countByWindow(Seconds(30),
Seconds(15)).print()
ssc.start()
ssc.awaitTermination()
}
}
14/07/03 12:42:25 INFO dstream.MappedDStream: Time 1404409345000 ms is
invalid as zeroTime is 1404409335000 ms and slideDuration is 15000 ms and
difference is 10000 ms
14/07/03 12:42:25 ERROR actor.OneForOneStrategy: key not found:
1404409345000 ms
java.util.NoSuchElementException: key not found: 1404409345000 ms
at scala.collection.MapLike$class.default(MapLike.scala:228)
at scala.collection.AbstractMap.default(Map.scala:58)
at scala.collection.mutable.HashMap.apply(HashMap.scala:64)
at
org.apache.spark.streaming.dstream.ReceiverInputDStream.getReceivedBlockInfo(ReceiverInputDStream.scala:77)
at
org.apache.spark.streaming.scheduler.JobGenerator$$anonfun$3.apply(JobGenerator.scala:225)
at
org.apache.spark.streaming.scheduler.JobGenerator$$anonfun$3.apply(JobGenerator.scala:223)
at
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
at
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
at
scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:108)
at scala.collection.TraversableLike$class.map(TraversableLike.scala:244)
at scala.collection.mutable.ArrayOps$ofRef.map(ArrayOps.scala:108)
at
org.apache.spark.streaming.scheduler.JobGenerator.generateJobs(JobGenerator.scala:223)
at
org.apache.spark.streaming.scheduler.JobGenerator.org$apache$spark$streaming$scheduler$JobGenerator$$processEvent(JobGenerator.scala:165)
at
org.apache.spark.streaming.scheduler.JobGenerator$$anonfun$start$1$$anon$1$$anonfun$receive$1.applyOrElse(JobGenerator.scala:76)
at akka.actor.ActorCell.receiveMessage(ActorCell.scala:498)
at akka.actor.ActorCell.invoke(ActorCell.scala:456)
at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:237)
at akka.dispatch.Mailbox.run(Mailbox.scala:219)
at
akka.dispatch.ForkJoinExecutorConfigurator$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)
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