Only log error on missing jar to allow spark examples to jar.
Right now to run the spark examples on Yarn you have to use the --addJars option and put the jar in hdfs. To make that nicer so the user doesn't have to specify the --addJars option change it to simply log an error instead of throwing.
Updated java API docs for streaming, along with very minor changes in the code examples.
Docs updated for:
Scala: StreamingContext, DStream, PairDStreamFunctions
Java: JavaStreamingContext, JavaDStream, JavaPairDStream
Example updated:
JavaQueueStream: Not use deprecated method
ActorWordCount: Use the public interface the right way.
Minor api usability changes
- Expose checkpoint directory - since it is autogenerated now
- null check for jars
- Expose SparkHadoopUtil : so that configuration creation is abstracted even from user code to avoid duplication of functionality already in spark.
Remove Typesafe Config usage and conf files to fix nested property names
With Typesafe Config we had the subtle problem of no longer allowing
nested property names, which are used for a few of our properties:
http://apache-spark-developers-list.1001551.n3.nabble.com/Config-properties-broken-in-master-td208.html
This PR is for branch 0.9 but should be added into master too.
(cherry picked from commit 34e911ce9a)
Signed-off-by: Patrick Wendell <pwendell@gmail.com>
This is useful for the cases when a file needs to be refreshed and downloaded
by the executors periodically.
Signed-off-by: Yinan Li <liyinan926@gmail.com>
Fail rather than hanging if a task crashes the JVM.
Prior to this commit, if a task crashes the JVM, the task (and
all other tasks running on that executor) is marked at KILLED rather
than FAILED. As a result, the TaskSetManager will retry the task
indefinitely rather than failing the job after maxFailures. Eventually,
this makes the job hang, because the Standalone Scheduler removes
the application after 10 works have failed, and then the app is left
in a state where it's disconnected from the master and waiting to reconnect.
This commit fixes that problem by marking tasks as FAILED rather than
killed when an executor is lost.
The downside of this commit is that if task A fails because another
task running on the same executor caused the VM to crash, the failure
will incorrectly be counted as a failure of task A. This should not
be an issue because we typically set maxFailures to 3, and it is
unlikely that a task will be co-located with a JVM-crashing task
multiple times.
spark-shell intends to set MASTER automatically if we do not provide the option when we start the shell , but there's a problem.
The condition is "if [[ "x" != "x$SPARK_MASTER_IP" && "y" != "y$SPARK_MASTER_PORT" ]];" we sure will set SPARK_MASTER_IP explicitly, the SPARK_MASTER_PORT option, however, we probably do not set just using spark default port 7077. So if we do not set SPARK_MASTER_PORT, the condition will never be true. We should just use default port if users do not set port explicitly I think.
SPARK-1024 Remove "-XX:+UseCompressedStrings" option from tuning guide
remove "-XX:+UseCompressedStrings" option from tuning guide since jdk7 no longer supports this.
