Thanks Sandy, it is very useful!
bit1...@163.com
From: Sandy Ryza
Date: 2015-04-29 15:24
To: bit1...@163.com
CC: user
Subject: Re: Question about Memory Used and VCores Used
Hi,
Good question. The extra memory comes from spark.yarn.executor.memoryOverhead,
the space used for the
Hi,
Good question. The extra memory comes from
spark.yarn.executor.memoryOverhead, the space used for the application
master, and the way the YARN rounds requests up. This explains it in a
little more detail:
http://blog.cloudera.com/blog/2015/03/how-to-tune-your-apache-spark-jobs-part-2/
-Sand
Hi,guys,
I have the following computation with 3 workers:
spark-sql --master yarn --executor-memory 3g --executor-cores 2 --driver-memory
1g -e 'select count(*) from table'
The resources used are shown as below on the UI:
I don't understand why the memory used is 15GB and vcores used is 5. I thin