Github user HyukjinKwon commented on the issue:
https://github.com/apache/spark/pull/19456
ping @blyncsy-david-lewis for @varuvish 's comment. Otherwise let me
propose to close it for now.
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Github user AmplabJenkins commented on the issue:
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Github user varuvish commented on the issue:
https://github.com/apache/spark/pull/19456
Can you guarantee that your users share an even workload? With this setup
you could potentially have a user with a high workload using 1/#users
resources. Wouldn't using the queue feature be
Github user AmplabJenkins commented on the issue:
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Github user AmplabJenkins commented on the issue:
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Github user AmplabJenkins commented on the issue:
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Github user blyncsy-david-lewis commented on the issue:
https://github.com/apache/spark/pull/19456
I have a multiuser application where I use the userId as the name of the
scheduling pool so that users are balanced equally by spark and within a user's
workload I can set the
Github user jiangxb1987 commented on the issue:
https://github.com/apache/spark/pull/19456
Could you elaborate on the scenario that you should need to make these
settings configurable?
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