Hi all,
Seeing a random exception kill my spark streaming job. Here's a stack
trace:
java.util.NoSuchElementException: key not found: 32855
at scala.collection.MapLike$class.default(MapLike.scala:228)
at scala.collection.AbstractMap.default(Map.scala:58)
at scala.collection.mutable.HashMap.apply(HashMap.scala:64)
at
org.apache.spark.scheduler.DAGScheduler.getCacheLocs(DAGScheduler.scala:211)
at
org.apache.spark.scheduler.DAGScheduler.getPreferredLocs(DAGScheduler.scala:1072)
at
org.apache.spark.SparkContext.getPreferredLocs(SparkContext.scala:716)
at
org.apache.spark.rdd.PartitionCoalescer.currPrefLocs(CoalescedRDD.scala:172)
at
org.apache.spark.rdd.PartitionCoalescer$LocationIterator$$anonfun$4$$anonfun$apply$2.apply(CoalescedRDD.scala:189)
at
org.apache.spark.rdd.PartitionCoalescer$LocationIterator$$anonfun$4$$anonfun$apply$2.apply(CoalescedRDD.scala:188)
at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:351)
at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:350)
at
org.apache.spark.rdd.PartitionCoalescer$LocationIterator.<init>(CoalescedRDD.scala:183)
at
org.apache.spark.rdd.PartitionCoalescer.setupGroups(CoalescedRDD.scala:234)
at
org.apache.spark.rdd.PartitionCoalescer.run(CoalescedRDD.scala:333)
at
org.apache.spark.rdd.CoalescedRDD.getPartitions(CoalescedRDD.scala:81)
at
org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:207)
at
org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:205)
at scala.Option.getOrElse(Option.scala:120)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:205)
at org.apache.spark.rdd.MappedRDD.getPartitions(MappedRDD.scala:28)
at
org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:207)
at
org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:205)
at scala.Option.getOrElse(Option.scala:120)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:205)
at org.apache.spark.rdd.MappedRDD.getPartitions(MappedRDD.scala:28)
at
org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:207)
at
org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:205)
at scala.Option.getOrElse(Option.scala:120)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:205)
at
org.apache.spark.rdd.FlatMappedRDD.getPartitions(FlatMappedRDD.scala:30)
at
org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:207)
at
org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:205)
at scala.Option.getOrElse(Option.scala:120)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:205)
at
org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:31)
at
org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:207)
at
org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:205)
at scala.Option.getOrElse(Option.scala:120)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:205)
at org.apache.spark.rdd.RDD.take(RDD.scala:830)
at
org.apache.spark.api.java.JavaRDDLike$class.take(JavaRDDLike.scala:337)
at org.apache.spark.api.java.JavaRDD.take(JavaRDD.scala:27)
at
com.tellapart.manifolds.spark.ManifoldsUtil$PersistToKafkaFunction.call(ManifoldsUtil.java:87)
at
com.tellapart.manifolds.spark.ManifoldsUtil$PersistToKafkaFunction.call(ManifoldsUtil.java:53)
at
org.apache.spark.streaming.api.java.JavaDStreamLike$$anonfun$foreachRDD$1.apply(JavaDStreamLike.scala:270)
at
org.apache.spark.streaming.api.java.JavaDStreamLike$$anonfun$foreachRDD$1.apply(JavaDStreamLike.scala:270)
at
org.apache.spark.streaming.dstream.DStream$$anonfun$foreachRDD$1.apply(DStream.scala:520)
at
org.apache.spark.streaming.dstream.DStream$$anonfun$foreachRDD$1.apply(DStream.scala:520)
at
org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1.apply$mcV$sp(ForEachDStream.scala:41)
at
org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1.apply(ForEachDStream.scala:40)
at
org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1.apply(ForEachDStream.scala:40)
at scala.util.Try$.apply(Try.scala:161)
at org.apache.spark.streaming.scheduler.Job.run(Job.scala:32)
at
org.apache.spark.streaming.scheduler.JobScheduler$JobHandler.run(JobScheduler.scala:155)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:744)
It doesn't seem to happen consistently, but I have no idea causes it. Has
anyone seen this before? The PersistToKafkaFunction here is just trying to
write the elements in a RDD to a Kafka topic.
