[GitHub] spark issue #19456: [SPARK] [Scheduler] Configurable default scheduling mode

2018-07-15 Thread HyukjinKwon
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] spark issue #19456: [SPARK] [Scheduler] Configurable default scheduling mode

2018-06-08 Thread AmplabJenkins
Github user AmplabJenkins commented on the issue:

https://github.com/apache/spark/pull/19456
  
Can one of the admins verify this patch?


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[GitHub] spark issue #19456: [SPARK] [Scheduler] Configurable default scheduling mode

2018-05-30 Thread varuvish
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 better?


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[GitHub] spark issue #19456: [SPARK] [Scheduler] Configurable default scheduling mode

2018-01-18 Thread AmplabJenkins
Github user AmplabJenkins commented on the issue:

https://github.com/apache/spark/pull/19456
  
Can one of the admins verify this patch?


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[GitHub] spark issue #19456: [SPARK] [Scheduler] Configurable default scheduling mode

2018-01-18 Thread AmplabJenkins
Github user AmplabJenkins commented on the issue:

https://github.com/apache/spark/pull/19456
  
Can one of the admins verify this patch?


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[GitHub] spark issue #19456: [SPARK] [Scheduler] Configurable default scheduling mode

2017-12-14 Thread AmplabJenkins
Github user AmplabJenkins commented on the issue:

https://github.com/apache/spark/pull/19456
  
Can one of the admins verify this patch?


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[GitHub] spark issue #19456: [SPARK] [Scheduler] Configurable default scheduling mode

2017-10-11 Thread blyncsy-david-lewis
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 scheduling mode to FAIR (or whatever I want). It is 
unreasonable to specify xml for each user and restart spark, so this patch 
allows me to specify the default configuration used by undefined pools.


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[GitHub] spark issue #19456: [SPARK] [Scheduler] Configurable default scheduling mode

2017-10-11 Thread jiangxb1987
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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[GitHub] spark issue #19456: [SPARK] [Scheduler] Configurable default scheduling mode

2017-10-08 Thread AmplabJenkins
Github user AmplabJenkins commented on the issue:

https://github.com/apache/spark/pull/19456
  
Can one of the admins verify this patch?


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