[GitHub] [spark] HyukjinKwon commented on pull request #28771: [2.4][SPARK-31935][SQL] Hadoop file system config should be effective in data source options

HyukjinKwon commented on pull request #28771: URL: https://github.com/apache/spark/pull/28771#issuecomment-652231653 Yeah, it should be best to have LGTM or at least some positive comments. This is an automated message from t

[GitHub] [spark] LantaoJin commented on a change in pull request #28833: [SPARK-20680][SQL] Spark-sql do not support for creating table with void column datatype

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[GitHub] [spark] LantaoJin commented on a change in pull request #28833: [SPARK-20680][SQL] Spark-sql do not support for creating table with void column datatype

LantaoJin commented on a change in pull request #28833: URL: https://github.com/apache/spark/pull/28833#discussion_r448149646 ## File path: sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/rules.scala ## @@ -292,6 +293,8 @@ case class PreprocessTableCreation(

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dongjoon-hyun edited a comment on pull request #28771: URL: https://github.com/apache/spark/pull/28771#issuecomment-652230135 Note that I'm fine with that backporting because it seems that you were confident with this and it looked urgent to you. --

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dongjoon-hyun commented on pull request #28771: URL: https://github.com/apache/spark/pull/28771#issuecomment-652230135 Note that I'm fine with this because it seems that you were confident with this and it looked urgent to you. -

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[GitHub] [spark] LantaoJin commented on a change in pull request #28833: [SPARK-20680][SQL] Spark-sql do not support for creating table with void column datatype

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[GitHub] [spark] dongjoon-hyun commented on pull request #28771: [2.4][SPARK-31935][SQL] Hadoop file system config should be effective in data source options

dongjoon-hyun commented on pull request #28771: URL: https://github.com/apache/spark/pull/28771#issuecomment-652228985 Hi, @gengliangwang . Did you merge this without any LGTM from other committers? cc @gatorsmile , @cloud-fan , @HyukjinKwon ---

[GitHub] [spark] LantaoJin commented on a change in pull request #28833: [SPARK-20680][SQL] Spark-sql do not support for creating table with void column datatype

LantaoJin commented on a change in pull request #28833: URL: https://github.com/apache/spark/pull/28833#discussion_r448150865 ## File path: sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveStrategies.scala ## @@ -106,7 +107,7 @@ class ResolveHiveSerdeTable(session: SparkS

[GitHub] [spark] dongjoon-hyun commented on a change in pull request #28962: [SPARK-32136][SQL] NormalizeFloatingNumbers should work on null struct

dongjoon-hyun commented on a change in pull request #28962: URL: https://github.com/apache/spark/pull/28962#discussion_r448150897 ## File path: sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/NormalizeFloatingNumbers.scala ## @@ -123,7 +123,8 @@ object Norm

[GitHub] [spark] dongjoon-hyun commented on a change in pull request #28962: [SPARK-32136][SQL] NormalizeFloatingNumbers should work on null struct

dongjoon-hyun commented on a change in pull request #28962: URL: https://github.com/apache/spark/pull/28962#discussion_r448150338 ## File path: sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/NormalizeFloatingNumbers.scala ## @@ -123,7 +123,8 @@ object Norm

[GitHub] [spark] LantaoJin commented on a change in pull request #28833: [SPARK-20680][SQL] Spark-sql do not support for creating table with void column datatype

LantaoJin commented on a change in pull request #28833: URL: https://github.com/apache/spark/pull/28833#discussion_r448149646 ## File path: sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/rules.scala ## @@ -292,6 +293,8 @@ case class PreprocessTableCreation(

[GitHub] [spark] LantaoJin commented on a change in pull request #28833: [SPARK-20680][SQL] Spark-sql do not support for creating table with void column datatype

LantaoJin commented on a change in pull request #28833: URL: https://github.com/apache/spark/pull/28833#discussion_r448149646 ## File path: sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/rules.scala ## @@ -292,6 +293,8 @@ case class PreprocessTableCreation(

[GitHub] [spark] LantaoJin commented on a change in pull request #28833: [SPARK-20680][SQL] Spark-sql do not support for creating table with void column datatype

LantaoJin commented on a change in pull request #28833: URL: https://github.com/apache/spark/pull/28833#discussion_r448149646 ## File path: sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/rules.scala ## @@ -292,6 +293,8 @@ case class PreprocessTableCreation(

[GitHub] [spark] LantaoJin commented on a change in pull request #28833: [SPARK-20680][SQL] Spark-sql do not support for creating table with void column datatype

LantaoJin commented on a change in pull request #28833: URL: https://github.com/apache/spark/pull/28833#discussion_r448149646 ## File path: sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/rules.scala ## @@ -292,6 +293,8 @@ case class PreprocessTableCreation(

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MaxGekk commented on pull request #27366: URL: https://github.com/apache/spark/pull/27366#issuecomment-652220337 @HyukjinKwon @cloud-fan Please, have a look at this PR. This is an automated message from the Apache Git Service

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cloud-fan edited a comment on pull request #28954: URL: https://github.com/apache/spark/pull/28954#issuecomment-652219037 After more thoughts, maybe a better way is to add a new rule in `AdaptiveSparkPlanExec.optimizer`, which converts `LogicalQueryStage` to empty `LocalRelation` if the si

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[GitHub] [spark] viirya opened a new pull request #28962: [SPARK-32136][SQL] NormalizeFloatingNumbers should work on null struct

viirya opened a new pull request #28962: URL: https://github.com/apache/spark/pull/28962 ### What changes were proposed in this pull request? This patch fixes wrong groupBy result if the grouping key is a null-value struct. ### Why are the changes needed?

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