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[GitHub] [spark] gatorsmile commented on issue #25458: [SPARK-27931][SQL] Accept "true", "yes", "1", "false", "no", "0", and unique prefixes as input and trim input for the boolean data type.

gatorsmile commented on issue #25458: [SPARK-27931][SQL] Accept "true", "yes", "1", "false", "no", "0", and unique prefixes as input and trim input for the boolean data type. URL: https://github.com/apache/spark/pull/25458#issuecomment-526775542 @dongjoon-hyun @maropu @cloud-fan @HyukjinKw

[GitHub] [spark] SparkQA commented on issue #25518: [SPARK-26046][SS] Add StreamingQueryManager.listListeners()

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[GitHub] [spark] mukulmurthy commented on issue #25518: [SPARK-26046][SS] Add StreamingQueryManager.listListeners()

mukulmurthy commented on issue #25518: [SPARK-26046][SS] Add StreamingQueryManager.listListeners() URL: https://github.com/apache/spark/pull/25518#issuecomment-526775715 @HyukjinKwon , it is a little dangerous to add an API to directly break other module's custom listeners. But in some cas

[GitHub] [spark] SparkQA commented on issue #25638: [SPARK-28932][BUILD] Add scala-library test dependency to network-common module for JDK11

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[GitHub] [spark] SparkQA commented on issue #25614: [WIP][SPARK-28887][K8S] Executor pod status fix

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[GitHub] [spark] gatorsmile commented on issue #25458: [SPARK-27931][SQL] Accept "true", "yes", "1", "false", "no", "0", and unique prefixes as input and trim input for the boolean data type.

gatorsmile commented on issue #25458: [SPARK-27931][SQL] Accept "true", "yes", "1", "false", "no", "0", and unique prefixes as input and trim input for the boolean data type. URL: https://github.com/apache/spark/pull/25458#issuecomment-526777381 I believe postgreSQL compatibility is a very

[GitHub] [spark] dongjoon-hyun commented on issue #25458: [SPARK-27931][SQL] Accept "true", "yes", "1", "false", "no", "0", and unique prefixes as input and trim input for the boolean data type.

dongjoon-hyun commented on issue #25458: [SPARK-27931][SQL] Accept "true", "yes", "1", "false", "no", "0", and unique prefixes as input and trim input for the boolean data type. URL: https://github.com/apache/spark/pull/25458#issuecomment-526777529 Yep. I agree. Sounds good to me. And, wha

[GitHub] [spark] gatorsmile commented on issue #25458: [SPARK-27931][SQL] Accept "true", "yes", "1", "false", "no", "0", and unique prefixes as input and trim input for the boolean data type.

gatorsmile commented on issue #25458: [SPARK-27931][SQL] Accept "true", "yes", "1", "false", "no", "0", and unique prefixes as input and trim input for the boolean data type. URL: https://github.com/apache/spark/pull/25458#issuecomment-526777624 I think `spark` at first? When `pgSQL` mode

[GitHub] [spark] dilipbiswal commented on issue #25529: [SPARK-28804][DOCS][SQL] Document DESCRIBE QUERY in SQL Reference

dilipbiswal commented on issue #25529: [SPARK-28804][DOCS][SQL] Document DESCRIBE QUERY in SQL Reference URL: https://github.com/apache/spark/pull/25529#issuecomment-526777907 @gatorsmile Thank you for fixing the mistake and merging.

[GitHub] [spark] viirya opened a new pull request #25639: [SPARK-28933][ML] Reduce unnecessary shuffle in ALS when initializing factors

viirya opened a new pull request #25639: [SPARK-28933][ML] Reduce unnecessary shuffle in ALS when initializing factors URL: https://github.com/apache/spark/pull/25639 ### What changes were proposed in this pull request? When Initializing factors in ALS, we should use `map

[GitHub] [spark] viirya commented on issue #25639: [SPARK-28933][ML] Reduce unnecessary shuffle in ALS when initializing factors

viirya commented on issue #25639: [SPARK-28933][ML] Reduce unnecessary shuffle in ALS when initializing factors URL: https://github.com/apache/spark/pull/25639#issuecomment-526777925 cc @felixcheung This is an automated mess

[GitHub] [spark] dongjoon-hyun commented on issue #25458: [SPARK-27931][SQL] Accept "true", "yes", "1", "false", "no", "0", and unique prefixes as input and trim input for the boolean data type.

dongjoon-hyun commented on issue #25458: [SPARK-27931][SQL] Accept "true", "yes", "1", "false", "no", "0", and unique prefixes as input and trim input for the boolean data type. URL: https://github.com/apache/spark/pull/25458#issuecomment-526778085 Got it. So, Apache Spark 3.0.0 starts wit

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[GitHub] [spark] SparkQA commented on issue #25629: [SPARK-28931][CORE][TESTS] Fix couple of bugs in FsHistoryProviderSuite

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[GitHub] [spark] AmplabJenkins commented on issue #25629: [SPARK-28931][CORE][TESTS] Fix couple of bugs in FsHistoryProviderSuite

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[GitHub] [spark] gatorsmile commented on issue #25458: [SPARK-27931][SQL] Accept "true", "yes", "1", "false", "no", "0", and unique prefixes as input and trim input for the boolean data type.

gatorsmile commented on issue #25458: [SPARK-27931][SQL] Accept "true", "yes", "1", "false", "no", "0", and unique prefixes as input and trim input for the boolean data type. URL: https://github.com/apache/spark/pull/25458#issuecomment-526778499 Yes. I think that might be a good choice.

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