[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. --- - To unsubscribe,

[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? --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional

[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

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

2018-01-18 Thread AmplabJenkins
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[GitHub] spark issue #19456: [SPARK] [Scheduler] Configurable default scheduling mode

2018-01-18 Thread AmplabJenkins
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[GitHub] spark issue #19456: [SPARK] [Scheduler] Configurable default scheduling mode

2017-12-14 Thread AmplabJenkins
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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

[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? --- - To unsubscribe, e-mail:

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

2017-10-08 Thread AmplabJenkins
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