[GitHub] [spark] dongjoon-hyun closed pull request #31670: [SPARK-34557][BUILD] Exclude Avro's transitive zstd-jni dependency

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[GitHub] [spark] maropu closed pull request #31468: [SPARK-34353][SQL] CollectLimitExec avoid shuffle if input rdd has 0/1 partition

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wangyum commented on a change in pull request #31673: URL: https://github.com/apache/spark/pull/31673#discussion_r584084925 ## File path: external/avro/src/test/scala/org/apache/spark/sql/avro/AvroSuite.scala ## @@ -492,17 +493,21 @@ abstract class AvroSuite df.write.fo

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dongjoon-hyun commented on a change in pull request #31673: URL: https://github.com/apache/spark/pull/31673#discussion_r584083552 ## File path: external/avro/src/test/scala/org/apache/spark/sql/avro/AvroSuite.scala ## @@ -492,17 +493,21 @@ abstract class AvroSuite df.wr

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wangyum commented on a change in pull request #31673: URL: https://github.com/apache/spark/pull/31673#discussion_r584083357 ## File path: external/avro/src/test/scala/org/apache/spark/sql/avro/AvroSuite.scala ## @@ -492,17 +493,21 @@ abstract class AvroSuite df.write.fo

[GitHub] [spark] dongjoon-hyun commented on pull request #31662: [SPARK-34553][INFRA] Rename GITHUB_API_TOKEN to GITHUB_OAUTH_KEY in translate-contributors.py

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wangyum commented on a change in pull request #31673: URL: https://github.com/apache/spark/pull/31673#discussion_r584083357 ## File path: external/avro/src/test/scala/org/apache/spark/sql/avro/AvroSuite.scala ## @@ -492,17 +493,21 @@ abstract class AvroSuite df.write.fo

[GitHub] [spark] dongjoon-hyun commented on pull request #31665: [MINOR] Add more known translations of contributors

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[GitHub] [spark] wangyum opened a new pull request #31673: [SPARK-34479][SQL] Add zstandard codec to Avro compression codec list

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wangyum opened a new pull request #31673: URL: https://github.com/apache/spark/pull/31673 ### What changes were proposed in this pull request? Avro add zstandard codec since AVRO-2195. This pr add zstandard codec to Avro compression codec list. ### Why are the changes needed?

[GitHub] [spark] dongjoon-hyun commented on pull request #31672: [SPARK-34543][SQL][3.0] Respect the `spark.sql.caseSensitive` config while resolving partition spec in v1 `SET LOCATION`

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[GitHub] [spark] MaxGekk opened a new pull request #31672: [SPARK-34543][SQL][3.0] Respect the `spark.sql.caseSensitive` config while resolving partition spec in v1 `SET LOCATION`

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MaxGekk opened a new pull request #31672: URL: https://github.com/apache/spark/pull/31672 ### What changes were proposed in this pull request? Preprocess the partition spec passed to the V1 `ALTER TABLE .. SET LOCATION` implementation `AlterTableSetLocationCommand`, and normalize the pas

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amandeep-sharma commented on a change in pull request #31545: URL: https://github.com/apache/spark/pull/31545#discussion_r584049545 ## File path: sql/core/src/main/scala/org/apache/spark/sql/DataFrameNaFunctions.scala ## @@ -395,9 +395,9 @@ final class DataFrameNaFunctions pri

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[GitHub] [spark] yaooqinn opened a new pull request #31671: [SPARK-34558][SQL] warehouse path should be qualified ahead of populating and use

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yaooqinn opened a new pull request #31671: URL: https://github.com/apache/spark/pull/31671 ### What changes were proposed in this pull request? ### Why are the changes needed? ### Does this PR introduce _any_ user-facing change? ### Ho

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[GitHub] [spark] dongjoon-hyun opened a new pull request #31670: [SPARK-34557][BUILD] Exclude Avro's transitive zstd-jni dependency

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dongjoon-hyun opened a new pull request #31670: URL: https://github.com/apache/spark/pull/31670 ### What changes were proposed in this pull request? This PR aims to exclude `Apache Avro`'s transitive zstd-jni dependency. ### Why are the changes needed? This explicitly pr

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AngersZh edited a comment on pull request #30421: URL: https://github.com/apache/spark/pull/30421#issuecomment-78672 Hmmm, seems DSV2 have many different behaviors. 1. can't use interval as table schema? 2. if partition column is date, if we pass a partition value as `Spark SQL

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AngersZh commented on pull request #30421: URL: https://github.com/apache/spark/pull/30421#issuecomment-78672 Hmmm, seems DSV2 have many different behaviors. 1. can't use interval as table schema? 2. if partition column is date, if we pass a partition value as `Spark SQL`, DSV

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