What kind of Query are you performing?
You should set something like 2 partition per core that would be 400 Mb per
partition.
As you have a lot of ram I suggest to cache the whole table, performance will
increase a lot.
Paolo
Inviata dal mio Windows Phone
Da: vdiwakar.malladimailto:vdiwakar.mall...@gmail.com
Inviato: 05/12/2014 18:52
A: u...@spark.incubator.apache.orgmailto:u...@spark.incubator.apache.org
Oggetto: Optimized spark configuration
Hi
Could any one help what would be better / optimized configuration for driver
memory, worker memory, number of parallelisms etc., parameters to be
configured when we are running 1 master node (it itself acting as slave node
also) and 1 slave node. Both are of 32 GB RAM with 4 cores.
On this, I loaded approx. 17M rows of data (3.2 GB) to hive store and when I
try to execute a query on this from jdbc thrift server, it is taking about
10-12 sec to retrieve the data which I think is too much.
Or guide please guide me any tutorial which will explain about these
optimize configurations.
Thanks in advance.
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