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2017-06-22 Thread jiangxb1987
Github user jiangxb1987 commented on the issue: https://github.com/apache/spark/pull/15541 @rxin @zhzhan Is there any chance that we could reach any consensus on the API design and move forward with this PR? --- If your project is set up for it, you can reply to this email and have

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2016-11-01 Thread zhzhan
Github user zhzhan commented on the issue: https://github.com/apache/spark/pull/15541 @rxin Thanks for the feedback regarding the TaskAssigner API. The current API is designed based on the current logic of TaskSchedulerImp, where the scheduler takes many rounds to assign the tasks

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2016-11-01 Thread rxin
Github user rxin commented on the issue: https://github.com/apache/spark/pull/15541 To be honest, I find the current API pretty weird (it is some stateful object that has to be reset every time). I suspect you designed this API by just abstracting out the logic you wanted to change

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2016-10-31 Thread rxin
Github user rxin commented on the issue: https://github.com/apache/spark/pull/15541 Sure will take a look in the next couple of days to get this into 2.1 if possible. --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If

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2016-10-31 Thread gatorsmile
Github user gatorsmile commented on the issue: https://github.com/apache/spark/pull/15541 retest this please --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes

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2016-10-25 Thread zhzhan
Github user zhzhan commented on the issue: https://github.com/apache/spark/pull/15541 @rxin Would you like to take a look and let you know if you have any concern? Thanks. --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well.

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2016-10-23 Thread viirya
Github user viirya commented on the issue: https://github.com/apache/spark/pull/15541 One concern I have is the cluster of machines with different codes. It is possibly if you construct your cluster with solution like ec2 and buy different kinds of nodes. In this case, the balance

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2016-10-23 Thread viirya
Github user viirya commented on the issue: https://github.com/apache/spark/pull/15541 LGTM. I have a question for the legacy code, but not related to this change. --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your

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2016-10-23 Thread gatorsmile
Github user gatorsmile commented on the issue: https://github.com/apache/spark/pull/15541 LGTM except a few minor comments. Could @rxin do the final check? Thank you for your work! @zhzhan --- If your project is set up for it, you can reply to this email and have your

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2016-10-20 Thread zhzhan
Github user zhzhan commented on the issue: https://github.com/apache/spark/pull/15541 @gatorsmile I didn't see your new comments --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature

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2016-10-20 Thread gatorsmile
Github user gatorsmile commented on the issue: https://github.com/apache/spark/pull/15541 Accidentally, I deleted all my comments. You might need to check the emails to find all my comments. :) --- If your project is set up for it, you can reply to this email and have your reply

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2016-10-20 Thread zhzhan
Github user zhzhan commented on the issue: https://github.com/apache/spark/pull/15541 @rxin Can you please take a look, and let me know if you have any concern? --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your

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2016-10-18 Thread zhzhan
Github user zhzhan commented on the issue: https://github.com/apache/spark/pull/15541 @rxin @gatorsmile Can you please take a look, and kindly provide your comments. --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If

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