When a task throws an exception, the Spark executor previously just
logged it to a local file on the slave and exited. This commit causes
Spark to also report the exception back to the driver using a Mesos
status update, so the user doesn't have to look through a log file on
the slave.
Here's what the reporting currently looks like:
# ./run spark.examples.ExceptionHandlingTest master@203.0.113.1:5050
[...]
11/10/26 21:04:13 INFO spark.SimpleJob: Lost TID 1 (task 0:1)
11/10/26 21:04:13 INFO spark.SimpleJob: Loss was due to java.lang.Exception: Testing exception handling
[...]
11/10/26 21:04:16 INFO spark.SparkContext: Job finished in 5.988547328 s
Note that we use scala.Serializable introduced in Scala 2.9 instead of
java.io.Serializable. Also, case classes inherit from scala.Serializable by
default.
This merge keeps only the broadcast work in mos-bt because the structure
of shuffle has changed with the new RDD design. We still need some kind
of parallel shuffle but that will be added later.
Conflicts:
core/src/main/scala/spark/BitTorrentBroadcast.scala
core/src/main/scala/spark/ChainedBroadcast.scala
core/src/main/scala/spark/RDD.scala
core/src/main/scala/spark/SparkContext.scala
core/src/main/scala/spark/Utils.scala
core/src/main/scala/spark/shuffle/BasicLocalFileShuffle.scala
core/src/main/scala/spark/shuffle/DfsShuffle.scala
