Hi,
It seems to me spark launches a process to read the spark-deaults.conf
and then launch another process to do the app stuff.
The code here should confirm it:
https://github.com/apache/spark/blob/master/bin/spark-class#L76
$RUNNER -cp $LAUNCH_CLASSPATH org.apache.spark.launcher.Main $@
But
After clicking the github spark repo, it is clearly here:
https://github.com/apache/spark/tree/master/launcher/src/main/java/org/apache/spark/launcher
My intellij project sidebar was fully expanded and I was lost in anther folder.
Problem solved.
Hi,
When running tasks, I found some task has input size of zero, while others not.
For example, in this picture: http://snag.gy/g6iJX.jpg
I suspect it has something to do with the block manager.
But where is the exact source code that monitors the task input size?
Thanks.
Hi,
Looking from my executor logs, the submitted application jar is
transmitted to each executors?
Why does spark do the above? To my understanding, the tasks to be run
are already serialized with TaskDescription.
Regards.
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Hi,
Can standalone cluster manager provide I/O information on worker nodes?
If not, possible to point out what's the proper file to modify to
achieve that functionality?
Besides, does Mesos support that?
Regards.
-
To
Hi.
My usage is only about the spark core and hdfs, so no spark sql or
mlib or other components invovled.
I saw the hint on the
http://spark.apache.org/docs/latest/building-spark.html, with a sample
like:
build/sbt -Pyarn -Phadoop-2.3 assembly. (what's the -P for?)
Fundamentally, I'd like to
