Hi, we are load testing our Spark 1.3 streaming (reading from Kafka) job and
seeing a problem. This is running in AWS/Yarn and the streaming batch interval
is set to 3 minutes and this is a ten node cluster.
Testing at 30,000 events per second we are seeing the streaming job get stuck
(stack trace below) for over an hour.
Thanks on any insights or suggestions.
--
Nick
org.apache.spark.streaming.api.java.AbstractJavaDStreamLike.mapPartitionsToPair(JavaDStreamLike.scala:43)
com.wb.analytics.spark.services.streaming.drivers.StreamingKafkaConsumerDriver.runStream(StreamingKafkaConsumerDriver.java:125)
com.wb.analytics.spark.services.streaming.drivers.StreamingKafkaConsumerDriver.main(StreamingKafkaConsumerDriver.java:71)
sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
java.lang.reflect.Method.invoke(Method.java:606)
org.apache.spark.deploy.yarn.ApplicationMaster$$anon$2.run(ApplicationMaster.scala:480)
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