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Github user jiangxb1987 commented on the issue: https://github.com/apache/spark/pull/20664 This LGTM overall, just some nits. --- - 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 ala commented on the issue: https://github.com/apache/spark/pull/20664 Thanks for the comments. I don't think the users should be impacted by changing execution time. If the parameters of the job are constant, then the partition allocation should also be deterministic, since the seed is fixed in `CoalescedRDD.scala`. There was already a degree of randomization in `DefaultPartitionCoalescer.pickBin()` which could lead to some fluctuation, so it's not a big difference. TBH, I'm just trying to merge upstream a fix we've implemented for the client. I agree much more could be done to improve coalesce, and if someone would be interested in looking into it, I'm all for it. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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