I only had the warning level logs, unfortunately. There were no other references of 32855 (except a repeated stack trace, I believe). I'm using Spark 0.9.1
On Mon, Jun 2, 2014 at 5:50 PM, Tathagata Das <tathagata.das1...@gmail.com> wrote: > Do you have the info level logs of the application? Can you grep the value > "32855" to find any references to it? Also what version of the Spark are > you using (so that I can match the stack trace, does not seem to match with > Spark 1.0)? > > TD > > > On Mon, Jun 2, 2014 at 3:27 PM, Michael Chang <m...@tellapart.com> wrote: > >> 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. >> > >
