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Recommended value for vm.overcommit_memory for a Spark cluster?

Rising Star

What is the recommended configuration for the vm.overcommit_memory [0|1|2] and vm.overcommit_ratio settings in sysctl?

Looking specifically for a Spark cluster.

I found the following link that suggests vm.overcommit_memory should be set to 1 for mapreduce streaming use cases:

https://www.safaribooksonline.com/library/view/hadoop-operations/9781449327279/ch04.html

Do we have any best practices around this?

1 ACCEPTED SOLUTION

Accepted Solutions

@Laurence Da Luz

This is very useful https://www.kernel.org/doc/Documentation/vm/overcommit-accounting

and you are right, The best practice is to set vm.overcommit_memory to 1

View solution in original post

5 REPLIES 5

Mentor

@Laurence Da Luz can you accept the answer?

@Laurence Da Luz

This is very useful https://www.kernel.org/doc/Documentation/vm/overcommit-accounting

and you are right, The best practice is to set vm.overcommit_memory to 1

View solution in original post

New Contributor

This answer incorrectly summarized the content of the link referenced.  The resource listed suggests setting vm.overcommit_memory=1, not vm.overcommit_ratio.

Super Collaborator

@Augustine ,

 

Thanks for the feedback. I have corrected the answer and thank you for reporting this.

 

Cheers,

Li

Li Wang, Technical Solution Manager


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