1，2 ：As the docs mentioned, "if they were submitted from separate threads" say,
you fork your main thread and invoke action in each thread. Job and stage is
always numbered in order , while not necessary corresponding to their execute
order, but generated order. In your case, If you just call mu
t action is too
large, maybe the second action will be starved.3. I think the question is how
to persist the RDD data to local disk?You could use saveAsTextFile(path) or
saveAsSequenceFile(path) to persist RDD data to local dist.
Hope this will help you.
Best regards,Patrick Liu
Date: Thu, 28 A
14:01
To: user
Subject: RE: The concurrent model of spark job/stage/task
Hi,
Please see the answers following each question. If there's any mistake, please
let me know. Thanks!
I am not sure which mode you are running. So I will assume you are using
spark-submit script to submit
Hi,
Please see the answers following each question. If there's any mistake, please
let me know. Thanks!
I am not sure which mode you are running. So I will assume you are using
spark-submit script to submit spark applications to spark
cluster(spark-standalone or Yarn)
1. how to start 2 or more
