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[GitHub] [spark] rdblue commented on a change in pull request #26425: [SPARK-29789][SQL] should not parse the bucket column name when creating v2 tables

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[GitHub] [spark] ulysses-you commented on a change in pull request #26462: [SPARK-29833][YARN] Add FileNotFoundException check for spark.yarn.jars

ulysses-you commented on a change in pull request #26462: [SPARK-29833][YARN] Add FileNotFoundException check for spark.yarn.jars URL: https://github.com/apache/spark/pull/26462#discussion_r344967554 ## File path:

[GitHub] [spark] AmplabJenkins commented on issue #26474: [WIP][SPARK-29778] pass writer options to saveAsTable in append mode

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[GitHub] [spark] AmplabJenkins commented on issue #26474: [WIP][SPARK-29778] pass writer options to saveAsTable in append mode

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[GitHub] [spark] SpaceRangerWes opened a new pull request #26474: [WIP][SPARK-29778] pass writer options to saveAsTable in append mode

SpaceRangerWes opened a new pull request #26474: [WIP][SPARK-29778] pass writer options to saveAsTable in append mode URL: https://github.com/apache/spark/pull/26474 ### What changes were proposed in this pull request? ### Why are the changes needed?

[GitHub] [spark] AmplabJenkins removed a comment on issue #26176: [SPARK-29519][SQL] SHOW TBLPROPERTIES should do multi-catalog resolution.

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[GitHub] [spark] vanzin closed pull request #26397: [SPARK-29755][CORE] Provide @JsonDeserialize for Option[Long] in LogInfo & AttemptInfoWrapper

vanzin closed pull request #26397: [SPARK-29755][CORE] Provide @JsonDeserialize for Option[Long] in LogInfo & AttemptInfoWrapper URL: https://github.com/apache/spark/pull/26397 This is an automated message from the Apache

[GitHub] [spark] vanzin commented on issue #26397: [SPARK-29755][CORE] Provide @JsonDeserialize for Option[Long] in LogInfo & AttemptInfoWrapper

vanzin commented on issue #26397: [SPARK-29755][CORE] Provide @JsonDeserialize for Option[Long] in LogInfo & AttemptInfoWrapper URL: https://github.com/apache/spark/pull/26397#issuecomment-552669794 Merging to master. This

[GitHub] [spark] vanzin closed pull request #26108: [SPARK-26154][SS] Streaming left/right outer join should not return outer nulls for already matched rows

vanzin closed pull request #26108: [SPARK-26154][SS] Streaming left/right outer join should not return outer nulls for already matched rows URL: https://github.com/apache/spark/pull/26108 This is an automated message from

[GitHub] [spark] vanzin commented on issue #26108: [SPARK-26154][SS] Streaming left/right outer join should not return outer nulls for already matched rows

vanzin commented on issue #26108: [SPARK-26154][SS] Streaming left/right outer join should not return outer nulls for already matched rows URL: https://github.com/apache/spark/pull/26108#issuecomment-552669276 Yes. Merging to master.

[GitHub] [spark] maropu commented on issue #26441: [SPARK-29682][SQL] Resolve conflicting references in aggregate expressions

maropu commented on issue #26441: [SPARK-29682][SQL] Resolve conflicting references in aggregate expressions URL: https://github.com/apache/spark/pull/26441#issuecomment-552668534 This issue can happen other than the cube aggregate as shown above?

[GitHub] [spark] maropu commented on a change in pull request #26441: [SPARK-29682][SQL] Resolve conflicting references in aggregate expressions

maropu commented on a change in pull request #26441: [SPARK-29682][SQL] Resolve conflicting references in aggregate expressions URL: https://github.com/apache/spark/pull/26441#discussion_r344958732 ## File path:

[GitHub] [spark] HeartSaVioR commented on issue #26397: [SPARK-29755][CORE] Provide @JsonDeserialize for Option[Long] in LogInfo & AttemptInfoWrapper

HeartSaVioR commented on issue #26397: [SPARK-29755][CORE] Provide @JsonDeserialize for Option[Long] in LogInfo & AttemptInfoWrapper URL: https://github.com/apache/spark/pull/26397#issuecomment-55281 Bump This is an

[GitHub] [spark] HeartSaVioR commented on issue #26108: [SPARK-26154][SS] Streaming left/right outer join should not return outer nulls for already matched rows

HeartSaVioR commented on issue #26108: [SPARK-26154][SS] Streaming left/right outer join should not return outer nulls for already matched rows URL: https://github.com/apache/spark/pull/26108#issuecomment-552666483 Looks like no comment from others so far; shall we consider merging this?

[GitHub] [spark] jiangxb1987 commented on issue #25964: [SPARK-29287][Core] Add ExecutorConstructed message to tell driver which executor is ready for making offers

jiangxb1987 commented on issue #25964: [SPARK-29287][Core] Add ExecutorConstructed message to tell driver which executor is ready for making offers URL: https://github.com/apache/spark/pull/25964#issuecomment-552665680 It's fine to just set `freeCores` to 0 for now, since the scheduler

[GitHub] [spark] AmplabJenkins removed a comment on issue #12302: [SPARK-14390][GraphX] Make initialization step in Pregel optional.

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[GitHub] [spark] AmplabJenkins commented on issue #12302: [SPARK-14390][GraphX] Make initialization step in Pregel optional.

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[GitHub] [spark] holdenk commented on issue #26440: [WIP][SPARK-20628][CORE] Start to improve Spark decommissioning & preemption support

holdenk commented on issue #26440: [WIP][SPARK-20628][CORE] Start to improve Spark decommissioning & preemption support URL: https://github.com/apache/spark/pull/26440#issuecomment-552664508 Ok digging into, looks like while I was updating the PR from 2017 I accidentally broke the message

[GitHub] [spark] srowen commented on a change in pull request #26315: [SPARK-29152][CORE] Executor Plugin shutdown when dynamic allocation is enabled

srowen commented on a change in pull request #26315: [SPARK-29152][CORE] Executor Plugin shutdown when dynamic allocation is enabled URL: https://github.com/apache/spark/pull/26315#discussion_r344955850 ## File path: core/src/main/scala/org/apache/spark/executor/Executor.scala

[GitHub] [spark] vanzin commented on issue #25964: [SPARK-29287][Core] Add ExecutorConstructed message to tell driver which executor is ready for making offers

vanzin commented on issue #25964: [SPARK-29287][Core] Add ExecutorConstructed message to tell driver which executor is ready for making offers URL: https://github.com/apache/spark/pull/25964#issuecomment-552661328 Looks ok, but I haven't been following the new resource allocation work, so

[GitHub] [spark] maropu commented on issue #26301: [WIP] [SPARK-29644] [SQL] Corrected ShortType and ByteType mapping to SmallInt and TinyInt in JDBCUtils

maropu commented on issue #26301: [WIP] [SPARK-29644] [SQL] Corrected ShortType and ByteType mapping to SmallInt and TinyInt in JDBCUtils URL: https://github.com/apache/spark/pull/26301#issuecomment-552659968 still WIP?

[GitHub] [spark] vanzin commented on a change in pull request #26315: [SPARK-29152][CORE] Executor Plugin shutdown when dynamic allocation is enabled

vanzin commented on a change in pull request #26315: [SPARK-29152][CORE] Executor Plugin shutdown when dynamic allocation is enabled URL: https://github.com/apache/spark/pull/26315#discussion_r344952210 ## File path: core/src/main/scala/org/apache/spark/executor/Executor.scala

[GitHub] [spark] dbtsai closed pull request #24541: [SPARK-27646] [SQL] [WIP] Required refactoring for bytecode analysis

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[GitHub] [spark] ueshin commented on a change in pull request #25728: [SPARK-29020][WIP][SQL] Improving array_sort behaviour

ueshin commented on a change in pull request #25728: [SPARK-29020][WIP][SQL] Improving array_sort behaviour URL: https://github.com/apache/spark/pull/25728#discussion_r344934124 ## File path:

[GitHub] [spark] viirya commented on issue #26461: [SPARK-29831][SQL] Scan Hive partitioned table should not dramatically increase data parallelism

viirya commented on issue #26461: [SPARK-29831][SQL] Scan Hive partitioned table should not dramatically increase data parallelism URL: https://github.com/apache/spark/pull/26461#issuecomment-552643459 > For those performance reason, Apache Spark already converts Hive table to data source

[GitHub] [spark] dongjoon-hyun closed pull request #26405: [SPARK-29766][sql] Do metrics aggregation asynchronously in SQL listener.

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[GitHub] [spark] dongjoon-hyun commented on a change in pull request #26405: [SPARK-29766][sql] Do metrics aggregation asynchronously in SQL listener.

dongjoon-hyun commented on a change in pull request #26405: [SPARK-29766][sql] Do metrics aggregation asynchronously in SQL listener. URL: https://github.com/apache/spark/pull/26405#discussion_r344935511 ## File path:

[GitHub] [spark] ueshin commented on a change in pull request #25728: [SPARK-29020][WIP][SQL] Improving array_sort behaviour

ueshin commented on a change in pull request #25728: [SPARK-29020][WIP][SQL] Improving array_sort behaviour URL: https://github.com/apache/spark/pull/25728#discussion_r344934124 ## File path:

[GitHub] [spark] ueshin commented on a change in pull request #25728: [SPARK-29020][WIP][SQL] Improving array_sort behaviour

ueshin commented on a change in pull request #25728: [SPARK-29020][WIP][SQL] Improving array_sort behaviour URL: https://github.com/apache/spark/pull/25728#discussion_r344933856 ## File path:

[GitHub] [spark] dongjoon-hyun commented on issue #26461: [SPARK-29831][SQL] Scan Hive partitioned table should not dramatically increase data parallelism

dongjoon-hyun commented on issue #26461: [SPARK-29831][SQL] Scan Hive partitioned table should not dramatically increase data parallelism URL: https://github.com/apache/spark/pull/26461#issuecomment-552641872 For those performance reason, Apache Spark already converts Hive table to data

[GitHub] [spark] AmplabJenkins removed a comment on issue #25702: [SPARK-29001][CORE] Print events that take too long time to process

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[GitHub] [spark] vanzin commented on a change in pull request #26405: [SPARK-29766][sql] Do metrics aggregation asynchronously in SQL listener.

vanzin commented on a change in pull request #26405: [SPARK-29766][sql] Do metrics aggregation asynchronously in SQL listener. URL: https://github.com/apache/spark/pull/26405#discussion_r344934314 ## File path:

[GitHub] [spark] dongjoon-hyun commented on issue #25702: [SPARK-29001][CORE] Print events that take too long time to process

dongjoon-hyun commented on issue #25702: [SPARK-29001][CORE] Print events that take too long time to process URL: https://github.com/apache/spark/pull/25702#issuecomment-552639139 Thank you for updating, @jiangxb1987 . This

[GitHub] [spark] SparkQA commented on issue #25702: [SPARK-29001][CORE] Print events that take too long time to process

SparkQA commented on issue #25702: [SPARK-29001][CORE] Print events that take too long time to process URL: https://github.com/apache/spark/pull/25702#issuecomment-552638833 **[Test build #113605 has

[GitHub] [spark] dongjoon-hyun commented on issue #26433: [SPARK-29771][K8S] Add configure to limit executor failures

dongjoon-hyun commented on issue #26433: [SPARK-29771][K8S] Add configure to limit executor failures URL: https://github.com/apache/spark/pull/26433#issuecomment-552638443 Also, do you think you can add a test case for this new feature?

[GitHub] [spark] dongjoon-hyun commented on issue #26433: [SPARK-29771][K8S] Add configure to limit executor failures

dongjoon-hyun commented on issue #26433: [SPARK-29771][K8S] Add configure to limit executor failures URL: https://github.com/apache/spark/pull/26433#issuecomment-552638544 cc @holdenk This is an automated message from the

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[GitHub] [spark] dongjoon-hyun commented on a change in pull request #26433: [SPARK-29771][K8S] Add configure to limit executor failures

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[GitHub] [spark] xuanyuanking commented on a change in pull request #26201: [SPARK-29543][SS][UI] Init structured streaming ui

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[GitHub] [spark] xuanyuanking commented on a change in pull request #26201: [SPARK-29543][SS][UI] Init structured streaming ui

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[GitHub] [spark] xuanyuanking commented on a change in pull request #26201: [SPARK-29543][SS][UI] Init structured streaming ui

xuanyuanking commented on a change in pull request #26201: [SPARK-29543][SS][UI] Init structured streaming ui URL: https://github.com/apache/spark/pull/26201#discussion_r344908636 ## File path: sql/core/src/main/scala/org/apache/spark/sql/execution/ui/SQLTab.scala ## @@

[GitHub] [spark] viirya edited a comment on issue #26461: [SPARK-29831][SQL] Scan Hive partitioned table should not dramatically increase data parallelism

viirya edited a comment on issue #26461: [SPARK-29831][SQL] Scan Hive partitioned table should not dramatically increase data parallelism URL: https://github.com/apache/spark/pull/26461#issuecomment-552631299 Another point is, for datasource table scan node, the parallelism is controlled

[GitHub] [spark] viirya edited a comment on issue #26461: [SPARK-29831][SQL] Scan Hive partitioned table should not dramatically increase data parallelism

viirya edited a comment on issue #26461: [SPARK-29831][SQL] Scan Hive partitioned table should not dramatically increase data parallelism URL: https://github.com/apache/spark/pull/26461#issuecomment-552627966 > The optimal value for each table is unknown, isn't it? This PR doesn't give

[GitHub] [spark] jiangxb1987 commented on a change in pull request #25702: [SPARK-29001][CORE] Print events that take too long time to process

jiangxb1987 commented on a change in pull request #25702: [SPARK-29001][CORE] Print events that take too long time to process URL: https://github.com/apache/spark/pull/25702#discussion_r344925923 ## File path: core/src/main/scala/org/apache/spark/internal/config/package.scala

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[GitHub] [spark] viirya commented on issue #26461: [SPARK-29831][SQL] Scan Hive partitioned table should not dramatically increase data parallelism

viirya commented on issue #26461: [SPARK-29831][SQL] Scan Hive partitioned table should not dramatically increase data parallelism URL: https://github.com/apache/spark/pull/26461#issuecomment-552631299 Another point is, for datasource table scan node, the parallelism can be controlled by

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[GitHub] [spark] SparkQA commented on issue #25728: [SPARK-29020][WIP][SQL] Improving array_sort behaviour

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[GitHub] [spark] viirya commented on issue #26461: [SPARK-29831][SQL] Scan Hive partitioned table should not dramatically increase data parallelism

viirya commented on issue #26461: [SPARK-29831][SQL] Scan Hive partitioned table should not dramatically increase data parallelism URL: https://github.com/apache/spark/pull/26461#issuecomment-552627966 > The optimal value for each table is unknown, isn't it? This PR doesn't give any clue

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[GitHub] [spark] dongjoon-hyun commented on issue #26433: [SPARK-29771][K8S] Add configure to limit executor failures

dongjoon-hyun commented on issue #26433: [SPARK-29771][K8S] Add configure to limit executor failures URL: https://github.com/apache/spark/pull/26433#issuecomment-552623044 Thank you for updating, @stczwd . This is an

[GitHub] [spark] cozos commented on a change in pull request #25899: [SPARK-29089][SQL] Parallelize blocking FileSystem calls in DataSource#checkAndGlobPathIfNecessary

cozos commented on a change in pull request #25899: [SPARK-29089][SQL] Parallelize blocking FileSystem calls in DataSource#checkAndGlobPathIfNecessary URL: https://github.com/apache/spark/pull/25899#discussion_r344914942 ## File path:

[GitHub] [spark] cozos commented on a change in pull request #25899: [SPARK-29089][SQL] Parallelize blocking FileSystem calls in DataSource#checkAndGlobPathIfNecessary

cozos commented on a change in pull request #25899: [SPARK-29089][SQL] Parallelize blocking FileSystem calls in DataSource#checkAndGlobPathIfNecessary URL: https://github.com/apache/spark/pull/25899#discussion_r344914942 ## File path:

[GitHub] [spark] cozos commented on a change in pull request #25899: [SPARK-29089][SQL] Parallelize blocking FileSystem calls in DataSource#checkAndGlobPathIfNecessary

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[GitHub] [spark] dongjoon-hyun commented on a change in pull request #26471: [SPARK-29850][SQL] sort-merge-join an empty table should not memory leak

dongjoon-hyun commented on a change in pull request #26471: [SPARK-29850][SQL] sort-merge-join an empty table should not memory leak URL: https://github.com/apache/spark/pull/26471#discussion_r344913207 ## File path:

[GitHub] [spark] dongjoon-hyun commented on a change in pull request #26471: [SPARK-29850][SQL] sort-merge-join an empty table should not memory leak

dongjoon-hyun commented on a change in pull request #26471: [SPARK-29850][SQL] sort-merge-join an empty table should not memory leak URL: https://github.com/apache/spark/pull/26471#discussion_r344912755 ## File path:

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