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HeartSaVioR edited a comment on issue #23576: [SPARK-26655] [SS] Support multiple aggregates in append mode URL: https://github.com/apache/spark/pull/23576#issuecomment-525217328 > Regarding output mode, most of Beam runners (spark for ex) support discarding output in which element from

[GitHub] [spark] HeartSaVioR edited a comment on issue #23576: [SPARK-26655] [SS] Support multiple aggregates in append mode

HeartSaVioR edited a comment on issue #23576: [SPARK-26655] [SS] Support multiple aggregates in append mode URL: https://github.com/apache/spark/pull/23576#issuecomment-525225611 > Still there is something I do not understand. With previous Spark Dstream framework, multiple-aggregations

[GitHub] [spark] HeartSaVioR edited a comment on issue #23576: [SPARK-26655] [SS] Support multiple aggregates in append mode

HeartSaVioR edited a comment on issue #23576: [SPARK-26655] [SS] Support multiple aggregates in append mode URL: https://github.com/apache/spark/pull/23576#issuecomment-525225611 > Still there is something I do not understand. With previous Spark Dstream framework, multiple-aggregations

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HeartSaVioR commented on issue #23576: [SPARK-26655] [SS] Support multiple aggregates in append mode URL: https://github.com/apache/spark/pull/23576#issuecomment-525225611 > Still there is something I do not understand. With previous Spark Dstream framework, multiple-aggregations were

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[GitHub] [spark] HeartSaVioR commented on issue #23576: [SPARK-26655] [SS] Support multiple aggregates in append mode

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echauchot commented on issue #23576: [SPARK-26655] [SS] Support multiple aggregates in append mode URL: https://github.com/apache/spark/pull/23576#issuecomment-525208412 Hi @HeartSaVioR, thanks for your feedack. Regarding late data with Beam, indeed when an element comes behind the

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[GitHub] [spark] HyukjinKwon commented on issue #25594: [SPARK-28881][PYTHON][TESTS] Add a test to make sure toPandas with Arrow optimization throws an exception per maxResultSize

HyukjinKwon commented on issue #25594: [SPARK-28881][PYTHON][TESTS] Add a test to make sure toPandas with Arrow optimization throws an exception per maxResultSize URL: https://github.com/apache/spark/pull/25594#issuecomment-525198546 Merged to master. It will be backported together

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[GitHub] [spark] AmplabJenkins commented on issue #25594: [SPARK-28881][PYTHON][TESTS] Add a test to make sure toPandas with Arrow optimization throws an exception per maxResultSize

AmplabJenkins commented on issue #25594: [SPARK-28881][PYTHON][TESTS] Add a test to make sure toPandas with Arrow optimization throws an exception per maxResultSize URL: https://github.com/apache/spark/pull/25594#issuecomment-525194899 Test PASSed. Refer to this link for build results

[GitHub] [spark] AmplabJenkins commented on issue #25594: [SPARK-28881][PYTHON][TESTS] Add a test to make sure toPandas with Arrow optimization throws an exception per maxResultSize

AmplabJenkins commented on issue #25594: [SPARK-28881][PYTHON][TESTS] Add a test to make sure toPandas with Arrow optimization throws an exception per maxResultSize URL: https://github.com/apache/spark/pull/25594#issuecomment-525194866 Merged build finished. Test PASSed.

[GitHub] [spark] SparkQA removed a comment on issue #25594: [SPARK-28881][PYTHON][TESTS] Add a test to make sure toPandas with Arrow optimization throws an exception per maxResultSize

SparkQA removed a comment on issue #25594: [SPARK-28881][PYTHON][TESTS] Add a test to make sure toPandas with Arrow optimization throws an exception per maxResultSize URL: https://github.com/apache/spark/pull/25594#issuecomment-525182924 **[Test build #109799 has

[GitHub] [spark] SparkQA commented on issue #25594: [SPARK-28881][PYTHON][TESTS] Add a test to make sure toPandas with Arrow optimization throws an exception per maxResultSize

SparkQA commented on issue #25594: [SPARK-28881][PYTHON][TESTS] Add a test to make sure toPandas with Arrow optimization throws an exception per maxResultSize URL: https://github.com/apache/spark/pull/25594#issuecomment-525194331 **[Test build #109799 has

[GitHub] [spark] gengliangwang commented on a change in pull request #25581: [SPARK-28495][SQL] Introduce ANSI store assignment policy for table insertion

gengliangwang commented on a change in pull request #25581: [SPARK-28495][SQL] Introduce ANSI store assignment policy for table insertion URL: https://github.com/apache/spark/pull/25581#discussion_r317950237 ## File path:

[GitHub] [spark] dongjoon-hyun commented on issue #25593: [SPARK-27992][PYTHON][2.4] Allow Python to join with connection thread to propagate errors

dongjoon-hyun commented on issue #25593: [SPARK-27992][PYTHON][2.4] Allow Python to join with connection thread to propagate errors URL: https://github.com/apache/spark/pull/25593#issuecomment-525193177 Wow. Thank you for confirmation. 

[GitHub] [spark] HyukjinKwon edited a comment on issue #25593: [SPARK-27992][PYTHON][2.4] Allow Python to join with connection thread to propagate errors

HyukjinKwon edited a comment on issue #25593: [SPARK-27992][PYTHON][2.4] Allow Python to join with connection thread to propagate errors URL: https://github.com/apache/spark/pull/25593#issuecomment-525192356 Between Spark 2.4.4 and RC 2.4.5, there look only one fix:

[GitHub] [spark] HyukjinKwon commented on issue #25593: [SPARK-27992][PYTHON][2.4] Allow Python to join with connection thread to propagate errors

HyukjinKwon commented on issue #25593: [SPARK-27992][PYTHON][2.4] Allow Python to join with connection thread to propagate errors URL: https://github.com/apache/spark/pull/25593#issuecomment-525192356 Between Spark 2.4.3 and RC 2.4.4, there look only one fix:

[GitHub] [spark] wangyum commented on a change in pull request #25584: [SPARK-28876][SQL] fallBackToHdfs should not support Hive partitioned table

wangyum commented on a change in pull request #25584: [SPARK-28876][SQL] fallBackToHdfs should not support Hive partitioned table URL: https://github.com/apache/spark/pull/25584#discussion_r317948185 ## File path:

[GitHub] [spark] SparkQA commented on issue #25512: [SPARK-28782][SQL] Support explode function on aggregate expressions

SparkQA commented on issue #25512: [SPARK-28782][SQL] Support explode function on aggregate expressions URL: https://github.com/apache/spark/pull/25512#issuecomment-525191552 **[Test build #109803 has

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[GitHub] [spark] cloud-fan commented on issue #25512: [SPARK-28782][SQL] Support explode function on aggregate expressions

cloud-fan commented on issue #25512: [SPARK-28782][SQL] Support explode function on aggregate expressions URL: https://github.com/apache/spark/pull/25512#issuecomment-525189428 retest this please This is an automated message

[GitHub] [spark] HyukjinKwon commented on a change in pull request #25594: [SPARK-28881][PYTHON][TESTS] Add a test to make sure toPandas with Arrow optimization throws an exception per maxResultSize

HyukjinKwon commented on a change in pull request #25594: [SPARK-28881][PYTHON][TESTS] Add a test to make sure toPandas with Arrow optimization throws an exception per maxResultSize URL: https://github.com/apache/spark/pull/25594#discussion_r317945400 ## File path:

[GitHub] [spark] HyukjinKwon commented on a change in pull request #25594: [SPARK-28881][PYTHON][TESTS] Add a test to make sure toPandas with Arrow optimization throws an exception per maxResultSize

HyukjinKwon commented on a change in pull request #25594: [SPARK-28881][PYTHON][TESTS] Add a test to make sure toPandas with Arrow optimization throws an exception per maxResultSize URL: https://github.com/apache/spark/pull/25594#discussion_r317944914 ## File path:

[GitHub] [spark] dongjoon-hyun edited a comment on issue #25593: [SPARK-27992][PYTHON][2.4] Allow Python to join with connection thread to propagate errors

dongjoon-hyun edited a comment on issue #25593: [SPARK-27992][PYTHON][2.4] Allow Python to join with connection thread to propagate errors URL: https://github.com/apache/spark/pull/25593#issuecomment-525188416 Thank you for reporting and making PR swiftly. We can cut another RC, but still

[GitHub] [spark] SparkQA commented on issue #22138: [SPARK-25151][SS] Apply Apache Commons Pool to KafkaDataConsumer

SparkQA commented on issue #22138: [SPARK-25151][SS] Apply Apache Commons Pool to KafkaDataConsumer URL: https://github.com/apache/spark/pull/22138#issuecomment-525188732 **[Test build #109802 has

[GitHub] [spark] HyukjinKwon commented on a change in pull request #25594: [SPARK-28881][PYTHON][TESTS] Add a test to make sure toPandas with Arrow optimization throws an exception per maxResultSize

HyukjinKwon commented on a change in pull request #25594: [SPARK-28881][PYTHON][TESTS] Add a test to make sure toPandas with Arrow optimization throws an exception per maxResultSize URL: https://github.com/apache/spark/pull/25594#discussion_r317944289 ## File path:

[GitHub] [spark] gengliangwang edited a comment on issue #25577: [WIP][CORE][SPARK-28867] InMemoryStore checkpoint to speed up replay log file in HistoryServer

gengliangwang edited a comment on issue #25577: [WIP][CORE][SPARK-28867] InMemoryStore checkpoint to speed up replay log file in HistoryServer URL: https://github.com/apache/spark/pull/25577#issuecomment-525188398 @HeartSaVioR +1 with rolling event logs.

[GitHub] [spark] cloud-fan commented on a change in pull request #25594: [SPARK-28881][PYTHON][TESTS] Add a test to make sure toPandas with Arrow optimization throws an exception per maxResultSize

cloud-fan commented on a change in pull request #25594: [SPARK-28881][PYTHON][TESTS] Add a test to make sure toPandas with Arrow optimization throws an exception per maxResultSize URL: https://github.com/apache/spark/pull/25594#discussion_r317944103 ## File path:

[GitHub] [spark] dongjoon-hyun edited a comment on issue #25593: [SPARK-27992][PYTHON][2.4] Allow Python to join with connection thread to propagate errors

dongjoon-hyun edited a comment on issue #25593: [SPARK-27992][PYTHON][2.4] Allow Python to join with connection thread to propagate errors URL: https://github.com/apache/spark/pull/25593#issuecomment-525188416 Thank you for reporting and making PR swiftly. We can cut another RC, but still

[GitHub] [spark] dongjoon-hyun edited a comment on issue #25593: [SPARK-27992][PYTHON][2.4] Allow Python to join with connection thread to propagate errors

dongjoon-hyun edited a comment on issue #25593: [SPARK-27992][PYTHON][2.4] Allow Python to join with connection thread to propagate errors URL: https://github.com/apache/spark/pull/25593#issuecomment-525188416 Thank you for reporting and making PR swiftly. We can cut another RC, but still

[GitHub] [spark] dongjoon-hyun commented on issue #25593: [SPARK-27992][PYTHON][2.4] Allow Python to join with connection thread to propagate errors

dongjoon-hyun commented on issue #25593: [SPARK-27992][PYTHON][2.4] Allow Python to join with connection thread to propagate errors URL: https://github.com/apache/spark/pull/25593#issuecomment-525188416 Thank you for reporting and making PR swiftly. We can cut another RC, but still I

[GitHub] [spark] gengliangwang commented on issue #25577: [WIP][CORE][SPARK-28867] InMemoryStore checkpoint to speed up replay log file in HistoryServer

gengliangwang commented on issue #25577: [WIP][CORE][SPARK-28867] InMemoryStore checkpoint to speed up replay log file in HistoryServer URL: https://github.com/apache/spark/pull/25577#issuecomment-525188398 @HeartSaVioR +1 with rolling over event logs.

[GitHub] [spark] ulysses-you commented on issue #25464: [SPARK-28746][SQL] Add partitionby hint for sql queries

ulysses-you commented on issue #25464: [SPARK-28746][SQL] Add partitionby hint for sql queries URL: https://github.com/apache/spark/pull/25464#issuecomment-525188183 @maropu The build error is just a probability problem, right... ?

[GitHub] [spark] HyukjinKwon commented on a change in pull request #25594: [SPARK-28881][PYTHON][TESTS] Add a test to make sure toPandas with Arrow optimization throws an exception per maxResultSize

HyukjinKwon commented on a change in pull request #25594: [SPARK-28881][PYTHON][TESTS] Add a test to make sure toPandas with Arrow optimization throws an exception per maxResultSize URL: https://github.com/apache/spark/pull/25594#discussion_r317943848 ## File path:

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