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From ar7 <ashraag...@gmail.com>
Subject Limiting Pyspark.daemons
Date Mon, 04 Jul 2016 07:15:47 GMT
Hi,

I am currently using PySpark 1.6.1 in my cluster. When a pyspark application
is run, the load on the workers seems to go more than what was given. When I
ran top, I noticed that there were too many Pyspark.daemons processes
running. There was another mail thread regarding the same:

https://mail-archives.apache.org/mod_mbox/spark-user/201606.mbox/%3CCAO429hvi3dRc-ojEMue3X4q1VDzt61hTByeAcagtRE9yrHsFgA@mail.gmail.com%3E

I followed what was mentioned there, i.e. reduced the number of executor
cores and number of executors in one node to 1. But the number of
pyspark.daemons process is still not coming down. It looks like initially
there is one Pyspark.daemons process and this in turn spawns as many
pyspark.daemons processes as the number of cores in the machine. 

Any help is appreciated :)

Thanks,
Ashwin Raaghav.



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