[GitHub] [spark] dongjoon-hyun commented on pull request #30123: [SPARK-33234][INFRA] Generates SHA-512 using shasum

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dongjoon-hyun commented on a change in pull request #30066: URL: https://github.com/apache/spark/pull/30066#discussion_r511768101 ## File path: .github/workflows/build_and_test.yml ## @@ -260,6 +244,68 @@ jobs: name: unit-tests-log-${{ matrix.modules }}--1.8-hadoop3.2-

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dongjoon-hyun commented on a change in pull request #30066: URL: https://github.com/apache/spark/pull/30066#discussion_r511768101 ## File path: .github/workflows/build_and_test.yml ## @@ -260,6 +244,68 @@ jobs: name: unit-tests-log-${{ matrix.modules }}--1.8-hadoop3.2-

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[GitHub] [spark] maropu commented on pull request #30066: [SPARK-33239][INFRA] Use pre-built image at GitHub Action SparkR job

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maropu commented on pull request #30066: URL: https://github.com/apache/spark/pull/30066#issuecomment-716372391 (I'm not familiar with the R part though) the added GA script itself looks okay to me. This is an automated mess

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maropu commented on a change in pull request #30066: URL: https://github.com/apache/spark/pull/30066#discussion_r511765802 ## File path: .github/workflows/build_and_test.yml ## @@ -260,6 +244,68 @@ jobs: name: unit-tests-log-${{ matrix.modules }}--1.8-hadoop3.2-hive2.3

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dongjoon-hyun commented on a change in pull request #30066: URL: https://github.com/apache/spark/pull/30066#discussion_r511764596 ## File path: .github/workflows/build_and_test.yml ## @@ -138,20 +136,6 @@ jobs: run: | python3.8 -m pip install numpy 'pyarrow<3.0.

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[GitHub] [spark] HeartSaVioR closed 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-716361865 Closing as I don't see any support on this and I'm now in favor of one of alternatives. This is an automate

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AngersZh commented on a change in pull request #30144: URL: https://github.com/apache/spark/pull/30144#discussion_r511757086 ## File path: sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala ## @@ -3691,6 +3691,26 @@ class SQLQuerySuite extends QueryTest with

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[GitHub] [spark] maropu commented on pull request #30144: [SPARK-33229][SQL]Support GROUP BY use Separate columns and CUBE/ROLLUP

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maropu commented on pull request #30144: URL: https://github.com/apache/spark/pull/30144#issuecomment-716353950 I'm not familiar with this mixed case, so I just want to know a whole picture of this feature first. The other systems support this feature? And, how about the other mixed cases

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zero323 commented on pull request #30143: URL: https://github.com/apache/spark/pull/30143#issuecomment-716352745 > Yeah, I think we can just keep docstrings as-is. For grouping stuff, I think it's okay to don't change since it's mainly for code readers. That's true, though I'd argue

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