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From harishreedharan <...@git.apache.org>
Subject [GitHub] spark pull request: [SPARK-3110][YARN] Add a "ha" mode in YARN mod...
Date Tue, 19 Aug 2014 02:18:59 GMT
Github user harishreedharan commented on the pull request:

    https://github.com/apache/spark/pull/2024#issuecomment-52582448
  
    I should have made it clearer. The idea is for long running processes like streaming,
you'd want the AM to come back up and reuse the same executors, so it can get the blocks from
the memory of the executors because many streaming systems like Flume cannot really replay
the data once it has been taken out. Even for others which can, the time period before data
"expires" can mean some data could be lost. This is the first step in a series of patches
for this one. The next is to get the AM to find the executors. My current plan is to use HDFS
to keep track of where the executors are running and then communicate to them via Akka, to
get a block list.
    
    I plan to expose this via SparkSubmit as the last step once we have all of the other pieces
in place.
    
    You are right, we should add this in Cluster mode too - I will take a look at updating
it.


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