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[GitHub] [spark] c21 commented on pull request #29079: [SPARK-32286][SQL] Coalesce bucketed table for shuffled hash join if applicable

c21 commented on pull request #29079: URL: https://github.com/apache/spark/pull/29079#issuecomment-659875108 Addressed all comments besides the only one that - I am still keeping two ratio configs separately (SMJ and SHJ). Let me know if I need to change this. cc @maropu and @viirya,

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[GitHub] [spark] ulysses-you opened a new pull request #29142: [SPARK-29343][SQL][FOLLOW-UP] Add more aggregate function to support eliminate sorts.

ulysses-you opened a new pull request #29142: URL: https://github.com/apache/spark/pull/29142 ### What changes were proposed in this pull request? Add more aggregate function and make these case support eliminate sorts. ### Why are the changes needed? Make

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c21 commented on a change in pull request #29079: URL: https://github.com/apache/spark/pull/29079#discussion_r456232826 ## File path: sql/core/src/test/scala/org/apache/spark/sql/execution/bucketing/CoalesceBucketsInJoinSuite.scala ## @@ -178,7 +235,16 @@ class

[GitHub] [spark] c21 commented on a change in pull request #29079: [SPARK-32286][SQL] Coalesce bucketed table for shuffled hash join if applicable

c21 commented on a change in pull request #29079: URL: https://github.com/apache/spark/pull/29079#discussion_r456232773 ## File path: sql/core/src/main/scala/org/apache/spark/sql/execution/bucketing/CoalesceBucketsInJoin.scala ## @@ -0,0 +1,175 @@ +/* + * Licensed to the

[GitHub] [spark] c21 commented on a change in pull request #29079: [SPARK-32286][SQL] Coalesce bucketed table for shuffled hash join if applicable

c21 commented on a change in pull request #29079: URL: https://github.com/apache/spark/pull/29079#discussion_r456232703 ## File path: sql/core/src/test/scala/org/apache/spark/sql/execution/bucketing/CoalesceBucketsInJoinSuite.scala ## @@ -103,46 +119,69 @@ class

[GitHub] [spark] zsxwing commented on pull request #29131: [SPARK-32321][SS] Remove KAFKA-7703 workaround

zsxwing commented on pull request #29131: URL: https://github.com/apache/spark/pull/29131#issuecomment-659873692 Thanks for raising the PR. Could you clarify what's the cost to keep this? I believe KAFKA-7703 has been fixed since you have verified it using my reproduction codes.

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c21 commented on a change in pull request #29079: URL: https://github.com/apache/spark/pull/29079#discussion_r456232535 ## File path: sql/core/src/main/scala/org/apache/spark/sql/execution/bucketing/CoalesceBucketsInJoin.scala ## @@ -0,0 +1,175 @@ +/* + * Licensed to the

[GitHub] [spark] c21 commented on a change in pull request #29079: [SPARK-32286][SQL] Coalesce bucketed table for shuffled hash join if applicable

c21 commented on a change in pull request #29079: URL: https://github.com/apache/spark/pull/29079#discussion_r456232607 ## File path: sql/core/src/test/scala/org/apache/spark/sql/execution/bucketing/CoalesceBucketsInJoinSuite.scala ## @@ -19,17 +19,21 @@ package

[GitHub] [spark] moomindani commented on a change in pull request #27690: [SPARK-21514][SQL] Added a new option to use non-blobstore storage when writing into blobstore storage

moomindani commented on a change in pull request #27690: URL: https://github.com/apache/spark/pull/27690#discussion_r456232227 ## File path: sql/hive/src/main/scala/org/apache/spark/sql/hive/execution/SaveAsHiveFile.scala ## @@ -97,12 +99,46 @@ private[hive] trait

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[GitHub] [spark] cloud-fan commented on pull request #29101: [SPARK-32302][SQL] Partially push down disjunctive predicates through Join/Partitions

cloud-fan commented on pull request #29101: URL: https://github.com/apache/spark/pull/29101#issuecomment-659872039 LGTM. It's a much simpler and robust solution! This is an automated message from the Apache Git Service. To

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[GitHub] [spark] venkata91 edited a comment on pull request #28994: [SPARK-32170][CORE] Improve the speculation for the inefficient tasks by the task metrics.

venkata91 edited a comment on pull request #28994: URL: https://github.com/apache/spark/pull/28994#issuecomment-659869847 This is an interesting idea and a good start. Just considering the runTime of a task alone might not be useful in many cases. Thanks!

[GitHub] [spark] venkata91 commented on pull request #28994: [SPARK-32170][CORE] Improve the speculation for the inefficient tasks by the task metrics.

venkata91 commented on pull request #28994: URL: https://github.com/apache/spark/pull/28994#issuecomment-659869847 This is an interesting idea and a good start. Just considering the runTime of a task alone might not be useful in many cases.

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gengliangwang edited a comment on pull request #29133: URL: https://github.com/apache/spark/pull/29133#issuecomment-659821378 @HyukjinKwon I have updated the PR description. Meanwhile, I created a PR on my repo to see what the test failure log will look like:

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[GitHub] [spark] cloud-fan closed pull request #29140: [SPARK-32145][SQL][FOLLOWUP] Fix type in the error log of SparkOperation

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