By correct, I mean: the map declaration looks good to me, so the
ClassCastException is weird ;)
I'm trying to reproduce the issue in order to investigate.
Regards
JB
On 10/15/2015 08:03 AM, Jean-Baptiste Onofré wrote:
Hi Phil,
KinesisReceiver is part of extra. Just a dumb question: did you update
all, including the Spark Kinesis extra containing the KinesisReceiver ?
I checked on tag v1.5.0, and at line 175 of the KinesisReceiver, we see:
blockIdToSeqNumRanges.clear()
which is a:
private val blockIdToSeqNumRanges = new mutable.HashMap[StreamBlockId,
SequenceNumberRanges]
with mutable.SynchronizedMap[StreamBlockId, SequenceNumberRanges]
So, it doesn't look fully correct to me.
Let me investigate a bit this morning.
Regards
JB
On 10/15/2015 07:49 AM, Phil Kallos wrote:
Hi,
We are trying to migrate from Spark1.4 to Spark1.5 for our Kinesis
streaming applications, to take advantage of the new Kinesis
checkpointing improvements in 1.5.
However after upgrading, we are consistently seeing the following error:
java.lang.ClassCastException: scala.collection.mutable.HashMap cannot be
cast to scala.collection.mutable.SynchronizedMap
at
org.apache.spark.streaming.kinesis.KinesisReceiver.onStart(KinesisReceiver.scala:175)
at
org.apache.spark.streaming.receiver.ReceiverSupervisor.startReceiver(ReceiverSupervisor.scala:148)
at
org.apache.spark.streaming.receiver.ReceiverSupervisor.start(ReceiverSupervisor.scala:130)
at
org.apache.spark.streaming.scheduler.ReceiverTracker$ReceiverTrackerEndpoint$$anonfun$9.apply(ReceiverTracker.scala:542)
at
org.apache.spark.streaming.scheduler.ReceiverTracker$ReceiverTrackerEndpoint$$anonfun$9.apply(ReceiverTracker.scala:532)
at
org.apache.spark.SparkContext$$anonfun$37.apply(SparkContext.scala:1984)
at
org.apache.spark.SparkContext$$anonfun$37.apply(SparkContext.scala:1984)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
at org.apache.spark.scheduler.Task.run(Task.scala:88)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
I even get this when running the Kinesis examples :
http://spark.apache.org/docs/latest/streaming-kinesis-integration.html
with
bin/run-example streaming.KinesisWordCountASL
Am I doing something incorrect?
--
Jean-Baptiste Onofré
jbono...@apache.org
http://blog.nanthrax.net
Talend - http://www.talend.com
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