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From olegshirokikh <o...@solver.com>
Subject Apache Spark standalone mode: number of cores
Date Fri, 23 Jan 2015 22:44:58 GMT
I'm trying to understand the basics of Spark internals and Spark
documentation for submitting applications in local mode says for
spark-submit --master setting:

local[K] Run Spark locally with K worker threads (ideally, set this to the
number of cores on your machine).

local[*] Run Spark locally with as many worker threads as logical cores on
your machine.
Since all the data is stored on a single local machine, it does not benefit
from distributed operations on RDDs.

How does it benefit and what internally is going on when Spark utilizes
several logical cores?



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