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[GitHub] [spark] srowen commented on pull request #33199: [SPARK-36004][INFRA] Update MiMa and audit API changes

srowen commented on pull request #33199: URL: https://github.com/apache/spark/pull/33199#issuecomment-873506320 I think the current state is that this passes only because some exclusions have to be retained that seem unintended - they were excluded for 3.0 - 3.1 not 3.1 - 3.2, but we were

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[GitHub] [spark] HyukjinKwon commented on a change in pull request #33154: [SPARK-35949][CORE]Add `is-server` arg for to prevent closing spark context when starting as a server.

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[GitHub] [spark] HyukjinKwon commented on a change in pull request #33188: [SPARK-35989][SQL] Do not remove REPARTITION_BY_NUM shuffle if AQE is enabled

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[GitHub] [spark] HyukjinKwon commented on pull request #33201: [SPARK-36005][SQL] The canCast method of type of char/varchar is modified to be consistent with StringType

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[GitHub] [spark] zhouyejoe commented on a change in pull request #33078: [SPARK-35546][Shuffle] Enable push-based shuffle when multiple app attempts are enabled and manage concurrent access to the sta

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[GitHub] [spark] viirya closed pull request #33142: [SPARK-35940][SQL] Refactor EquivalentExpressions to make it more efficient

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[GitHub] [spark] SparkQA commented on pull request #33188: [SPARK-35989][SQL] Do not remove REPARTITION_BY_NUM shuffle if AQE is enabled

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[GitHub] [spark] SparkQA commented on pull request #32959: [SPARK-35780][SQL] Support DATE/TIMESTAMP literals across the full range

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[GitHub] [spark] SparkQA commented on pull request #33182: [SPARK-35984][SQL] Config to force applying shuffled hash join

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[GitHub] [spark] pingsutw opened a new pull request #33203: [SPARK-36007][INFRA] Failed to run benchmark in GA

pingsutw opened a new pull request #33203: URL: https://github.com/apache/spark/pull/33203 ### What changes were proposed in this pull request? When I running the benchmark in GA, I met the below error.

[GitHub] [spark] SparkQA commented on pull request #32959: [SPARK-35780][SQL] Support DATE/TIMESTAMP literals across the full range

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[GitHub] [spark] SparkQA commented on pull request #32959: [SPARK-35780][SQL] Support DATE/TIMESTAMP literals across the full range

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[GitHub] [spark] zhaomin1423 closed pull request #33202: remove redundant code

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[GitHub] [spark] zhaomin1423 opened a new pull request #33202: remove redundant code

zhaomin1423 opened a new pull request #33202: URL: https://github.com/apache/spark/pull/33202 ### What changes were proposed in this pull request? remove redundant code ### Why are the changes needed? keep the code style and avoid avoid unnecessary

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[GitHub] [spark] zheniantoushipashi opened a new pull request #33201: [SPARK-36005][SQL] The canCast method of type of char/varchar is modified to be consistent with StringType

zheniantoushipashi opened a new pull request #33201: URL: https://github.com/apache/spark/pull/33201 ### What changes were proposed in this pull request? The canCast method of type of char/varchar is modified to be consistent with StringType the method cast will

[GitHub] [spark] Peng-Lei commented on a change in pull request #33175: [SPARK-35973][SQL] DataSourceV2: Support SHOW CATALOGS

Peng-Lei commented on a change in pull request #33175: URL: https://github.com/apache/spark/pull/33175#discussion_r663311232 ## File path: sql/catalyst/src/main/scala/org/apache/spark/sql/connector/catalog/CatalogManager.scala ## @@ -128,6 +128,10 @@ class CatalogManager(

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[GitHub] [spark] viirya edited a comment on pull request #29326: [WIP][SPARK-32502][BUILD] Upgrade Guava to 27.0-jre

viirya edited a comment on pull request #29326: URL: https://github.com/apache/spark/pull/29326#issuecomment-873359259 Encountered some issues. Although we can switch to hive-exec without classifier (shaded version) to get rid of above guava version issue, the shaded hive-exec

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[GitHub] [spark] viirya commented on pull request #29326: [WIP][SPARK-32502][BUILD] Upgrade Guava to 27.0-jre

viirya commented on pull request #29326: URL: https://github.com/apache/spark/pull/29326#issuecomment-873359259 Encountered some issues. Although we can switch to hive-exec without classifier (shaded version) to get rid of above guava version issue, the shaded hive-exec contains

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