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[GitHub] [spark] LantaoJin opened a new pull request #28961: [SPARK-32143][SQL] Prevent a skewed join from producing too many partition splits

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LantaoJin opened a new pull request #28961: URL: https://github.com/apache/spark/pull/28961 ### What changes were proposed in this pull request? Add a configuration `spark.sql.adaptive.skewJoin.maxPartitionSplits` to prevent a skewed join from producing too many partition splits.

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HeartSaVioR commented on pull request #28904: URL: https://github.com/apache/spark/pull/28904#issuecomment-652182305 org.apache.spark.sql.hive.thriftserver.HiveSessionImplSuite.(It is not a test it is a sbt.testing.SuiteSelector) This seems to be failing frequently. I'll see other bu

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[GitHub] [spark] HyukjinKwon closed pull request #28959: [SPARK-32088][PYTHON][FOLLOWUP] Replace `collect()` by `show()` in the example for `timestamp_seconds`

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stackedsax commented on pull request #23340: URL: https://github.com/apache/spark/pull/23340#issuecomment-652176572 @edwinalu thanks for getting this started so long ago. Looks like there are some conflicts after so much time has passed. Do you have time/interest to continue working on t

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[GitHub] [spark] dongjoon-hyun commented on pull request #23340: [SPARK-23431][CORE] Expose the new executor memory metrics at the stage level

2020-06-30 Thread GitBox
dongjoon-hyun commented on pull request #23340: URL: https://github.com/apache/spark/pull/23340#issuecomment-652173340 This is reopened according to the community request. I also removed the label, `Stale`. This is an automa

[GitHub] [spark] edwinalu opened a new pull request #23340: [SPARK-23431][CORE] Expose the new executor memory metrics at the stage level

2020-06-30 Thread GitBox
edwinalu opened a new pull request #23340: URL: https://github.com/apache/spark/pull/23340 ## What changes were proposed in this pull request? Collect and show the new executor memory metrics for each stage, to provide more information on how memory is used per stage. Peak values for

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[GitHub] [spark] AmplabJenkins commented on pull request #28959: [SPARK-32088][PYTHON][FOLLOWUP] Replace `collect()` by `show()` in the example for `timestamp_seconds`

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[GitHub] [spark] beliefer commented on pull request #28917: [SPARK-31847][CORE][TESTS] DAGSchedulerSuite: Rewrite the test framework to support apply specified spark configurations.

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[GitHub] [spark] imback82 commented on a change in pull request #28676: [WIP][SPARK-31869][SQL] BroadcastHashJoinExec can utilize the build side for its output partitioning

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imback82 commented on a change in pull request #28676: URL: https://github.com/apache/spark/pull/28676#discussion_r448099497 ## File path: sql/core/src/main/scala/org/apache/spark/sql/execution/joins/BroadcastHashJoinExec.scala ## @@ -60,6 +60,26 @@ case class BroadcastHashJoi

[GitHub] [spark] HyukjinKwon commented on pull request #28950: [SPARK-32094][PYTHON] Update cloudpickle to v1.4.1

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HyukjinKwon commented on pull request #28950: URL: https://github.com/apache/spark/pull/28950#issuecomment-652172515 Ah .. yeah, if this is the Python version issue in the Jenkins, let's file a JIRA under https://issues.apache.org/jira/browse/SPARK-29909. Seems like there are some more wor

[GitHub] [spark] imback82 commented on a change in pull request #28676: [WIP][SPARK-31869][SQL] BroadcastHashJoinExec can utilize the build side for its output partitioning

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imback82 commented on a change in pull request #28676: URL: https://github.com/apache/spark/pull/28676#discussion_r448099248 ## File path: sql/core/src/main/scala/org/apache/spark/sql/execution/joins/BroadcastHashJoinExec.scala ## @@ -60,6 +60,26 @@ case class BroadcastHashJoi

[GitHub] [spark] AmplabJenkins removed a comment on pull request #28898: [SPARK-32059][SQL] Allow nested schema pruning thru window/sort/filter plans

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[GitHub] [spark] HeartSaVioR commented on pull request #27694: [SPARK-30946][SS] Serde entry via DataInputStream/DataOutputStream with LZ4 compression on FileStream(Source/Sink)Log

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HeartSaVioR commented on pull request #27694: URL: https://github.com/apache/spark/pull/27694#issuecomment-652170963 Probably we can go with supporting relative path “as well” in this metadata version which would heavily reduce the size even without compression. I’ll experiment this approa

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[GitHub] [spark] HyukjinKwon removed a comment on pull request #28929: [SPARK-32100][CORE][TESTS] Add WorkerDecommissionExtendedSuite

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HyukjinKwon removed a comment on pull request #28929: URL: https://github.com/apache/spark/pull/28929#issuecomment-652162542 Yeah, I just removed as I thought it's unnecessary to raise an issue here; but if we should technically speak, SPIP wasn't passed. It's odds to merge related PRs. We

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[GitHub] [spark] holdenk removed a comment on pull request #28929: [SPARK-32100][CORE][TESTS] Add WorkerDecommissionExtendedSuite

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holdenk removed a comment on pull request #28929: URL: https://github.com/apache/spark/pull/28929#issuecomment-652152637 This is not an API change just increases test coverage on already merged code. I’ll bring the SPIP to a vote this week, just been dealing with resolving some misundersta

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[GitHub] [spark] kiszk commented on a change in pull request #28953: [SPARK-32013][SQL] Support query execution before/after reading/writing DataFrame over JDBC

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kiszk commented on a change in pull request #28953: URL: https://github.com/apache/spark/pull/28953#discussion_r448094031 ## File path: sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/jdbc/JDBCRDD.scala ## @@ -156,9 +157,16 @@ object JDBCRDD extends Logging

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