[GitHub] spark issue #21758: [SPARK-24795][CORE] Implement barrier execution mode
Github user gatorsmile commented on the issue: https://github.com/apache/spark/pull/21758 Thanks! Merged to master. @jiangxb1987 Please submit the other PRs that are blocked by this ASAP. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #21758: [SPARK-24795][CORE] Implement barrier execution mode
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[GitHub] spark issue #21758: [SPARK-24795][CORE] Implement barrier execution mode
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[GitHub] spark issue #21758: [SPARK-24795][CORE] Implement barrier execution mode
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[GitHub] spark issue #21758: [SPARK-24795][CORE] Implement barrier execution mode
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[GitHub] spark issue #21758: [SPARK-24795][CORE] Implement barrier execution mode
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[GitHub] spark issue #21758: [SPARK-24795][CORE] Implement barrier execution mode
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[GitHub] spark issue #21758: [SPARK-24795][CORE] Implement barrier execution mode
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[GitHub] spark issue #21758: [SPARK-24795][CORE] Implement barrier execution mode
Github user jiangxb1987 commented on the issue: https://github.com/apache/spark/pull/21758 > What's the failure mode if there are not enough slots for the barrier mode? We should throw an exception right? Yes, as mentioned in https://github.com/apache/spark/pull/21758/files/c16a47f0d15998133b9d61d8df5310f1f66b11b0#diff-d4000438827afe3a185ae75b24987a61R372 , we shall fail the job on submit if there is no enough slots for the barrier stage. I'll submit another PR to add this check (tracked by SPARK-24819). --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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[GitHub] spark issue #21758: [SPARK-24795][CORE] Implement barrier execution mode
Github user rxin commented on the issue: https://github.com/apache/spark/pull/21758 What's the failure mode if there are not enough slots for the barrier mode? We should throw an exception right? --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #21758: [SPARK-24795][CORE] Implement barrier execution mode
Github user gatorsmile commented on the issue: https://github.com/apache/spark/pull/21758 LGTM @squito Has @jiangxb1987 address your comments? We want to merge this PR ASAP and a few to-be-submitted PRs depend on this PR. This feature is targeting to Spark 2.4 release. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user jiangxb1987 commented on the issue: https://github.com/apache/spark/pull/21758 Thanks, I opened https://issues.apache.org/jira/browse/SPARK-24874 to track the issue. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user jerryshao commented on the issue: https://github.com/apache/spark/pull/21758 I see, thanks for explaining. Maybe it is worth to mark as a TODO. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #21758: [SPARK-24795][CORE] Implement barrier execution mode
Github user jiangxb1987 commented on the issue: https://github.com/apache/spark/pull/21758 For now we force all the tasks to be barrier. We may be able to allow hybrid of both barrier tasks and regular tasks in a stage, but that shall make it more complex to do failure handling. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user jerryshao commented on the issue: https://github.com/apache/spark/pull/21758 I mean rddC's partitions are derived from rddA and rddB, here assuming partitions in rddA requires barrier, but not required in rddB. So rddC's partitions are the half barrier and half not barrier. So how do you merge such conflict, did you mark rddC's all partitions as barrier, or only the ones coming from rddA? Obviously partitions from rddB doesn't require barrier (just normal tasks), forcing to barrier will require strict resource demand. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user jiangxb1987 commented on the issue: https://github.com/apache/spark/pull/21758 @jerryshao In your case we just make sure that `rddC.isBarrier() == true`, coz there is no ShuffleDependency in `union()` operation, the tasks are launched based on rddC's partitions. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #21758: [SPARK-24795][CORE] Implement barrier execution mode
Github user jerryshao commented on the issue: https://github.com/apache/spark/pull/21758 Hi @jiangxb1987 one question about barrier task. For example, `rddA` is marked as barrier, and `rddB` is a normal RDD, if `rddC = rddA.union(rddB)`, seems it contains both normal task and barrier, will you try to mark tasks generated from `rddB` also as barrier task, or you will only mark tasks from 'rddA' as barrier tasks? This will potentially affect the resource demands, as `rddA` requires gang semantics, whereas `rddB` doesn't require that. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user jiangxb1987 commented on the issue: https://github.com/apache/spark/pull/21758 @mridulm Sorry I missed that message, now I've updated the comment, we can continue the discussion on that thread. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #21758: [SPARK-24795][CORE] Implement barrier execution mode
Github user mridulm commented on the issue: https://github.com/apache/spark/pull/21758 I had left a few comments on SPARK-24375 @jiangxb1987 ... unfortunately the jira's have moved around a bit. If this is active PR for introducing the feature, would be great to get clarity on them. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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