[GitHub] [spark] wangyum commented on a change in pull request #25567: [SPARK-28527][SQL][TEST] Re-run all the tests in SQLQueryTestSuite via Thrift Server

wangyum commented on a change in pull request #25567: [SPARK-28527][SQL][TEST] Re-run all the tests in SQLQueryTestSuite via Thrift Server URL: https://github.com/apache/spark/pull/25567#discussion_r318370344 ## File path:

[GitHub] [spark] beliefer commented on a change in pull request #25309: [SPARK-28577][YARN]Resource capability requested for each executor add offHeapMemorySize

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[GitHub] [spark] WeichenXu123 commented on issue #25512: [SPARK-28782][SQL] Generator support in aggregate expressions

WeichenXu123 commented on issue #25512: [SPARK-28782][SQL] Generator support in aggregate expressions URL: https://github.com/apache/spark/pull/25512#issuecomment-525554253 @gatorsmile Done. This is an automated message from

[GitHub] [spark] MGHawes commented on a change in pull request #25575: [SPARK-28818][SQL] Respect source column nullability in the arrays created by `freqItems()`

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

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[GitHub] [spark] HyukjinKwon closed pull request #25603: [SPARK-28881][PYTHON][TESTS][FOLLOW-UP] Use SparkSession(SparkContext(...)) to prevent for Spark conf to affect other tests

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[GitHub] [spark] HyukjinKwon commented on a change in pull request #25575: [SPARK-28818][SQL] Respect source column nullability in the arrays created by `freqItems()`

HyukjinKwon commented on a change in pull request #25575: [SPARK-28818][SQL] Respect source column nullability in the arrays created by `freqItems()` URL: https://github.com/apache/spark/pull/25575#discussion_r318358959 ## File path:

[GitHub] [spark] HyukjinKwon commented on a change in pull request #25575: [SPARK-28818][SQL] Respect source column nullability in the arrays created by `freqItems()`

HyukjinKwon commented on a change in pull request #25575: [SPARK-28818][SQL] Respect source column nullability in the arrays created by `freqItems()` URL: https://github.com/apache/spark/pull/25575#discussion_r318358959 ## File path:

[GitHub] [spark] HyukjinKwon commented on issue #25575: [SPARK-28818][SQL] Respect source column nullability in the arrays created by `freqItems()`

HyukjinKwon commented on issue #25575: [SPARK-28818][SQL] Respect source column nullability in the arrays created by `freqItems()` URL: https://github.com/apache/spark/pull/25575#issuecomment-525544970 BTW, I think there is: > Does this PR introduce any user-facing change?

[GitHub] [spark] SparkQA commented on issue #25559: [WIP][DO-NOT-MERGE] Test updating Kinesis deps and current state of Kinesis Python tests

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[GitHub] [spark] HyukjinKwon commented on a change in pull request #25575: [SPARK-28818][SQL] Respect source column nullability in the arrays created by `freqItems()`

HyukjinKwon commented on a change in pull request #25575: [SPARK-28818][SQL] Respect source column nullability in the arrays created by `freqItems()` URL: https://github.com/apache/spark/pull/25575#discussion_r318358576 ## File path:

[GitHub] [spark] hddong commented on issue #25412: [SPARK-28691][EXAMPLES] Add Java/Scala DirectKerberizedKafkaWordCount examples

hddong commented on issue #25412: [SPARK-28691][EXAMPLES] Add Java/Scala DirectKerberizedKafkaWordCount examples URL: https://github.com/apache/spark/pull/25412#issuecomment-525543548 Thanks all for review and advice. And i will add a new file for structured streaming later.

[GitHub] [spark] MGHawes commented on a change in pull request #25575: [SPARK-28818][SQL] Respect source column nullability in the arrays created by `freqItems()`

MGHawes commented on a change in pull request #25575: [SPARK-28818][SQL] Respect source column nullability in the arrays created by `freqItems()` URL: https://github.com/apache/spark/pull/25575#discussion_r318357528 ## File path:

[GitHub] [spark] hddong commented on issue #25412: [SPARK-28691][EXAMPLES] Add Java/Scala DirectKerberizedKafkaWordCount examples

hddong commented on issue #25412: [SPARK-28691][EXAMPLES] Add Java/Scala DirectKerberizedKafkaWordCount examples URL: https://github.com/apache/spark/pull/25412#issuecomment-525543347 > LGTM Thanks for review and your advice.

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[GitHub] [spark] HyukjinKwon opened a new pull request #25603: [SPARK-28881][PYTHON][TESTS][FOLLOW-UP] Use SparkSession(SparkContext(...)) to prevent for Spark conf to affect other tests

HyukjinKwon opened a new pull request #25603: [SPARK-28881][PYTHON][TESTS][FOLLOW-UP] Use SparkSession(SparkContext(...)) to prevent for Spark conf to affect other tests URL: https://github.com/apache/spark/pull/25603 ### What changes were proposed in this pull request? This PR

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[GitHub] [spark] dvogelbacher opened a new pull request #25602: [SPARK-28613][SQL] Add config option for limiting uncompressed result size in SQL

dvogelbacher opened a new pull request #25602: [SPARK-28613][SQL] Add config option for limiting uncompressed result size in SQL URL: https://github.com/apache/spark/pull/25602 ### What changes were proposed in this pull request? This PR adds a new config option

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[GitHub] [spark] SparkQA commented on issue #25559: [WIP][DO-NOT-MERGE] Test updating Kinesis deps and current state of Kinesis Python tests

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[GitHub] [spark] HyukjinKwon commented on a change in pull request #25593: [SPARK-27992][SPARK-28881][PYTHON][2.4] Allow Python to join with connection thread to propagate errors

HyukjinKwon commented on a change in pull request #25593: [SPARK-27992][SPARK-28881][PYTHON][2.4] Allow Python to join with connection thread to propagate errors URL: https://github.com/apache/spark/pull/25593#discussion_r318342441 ## File path: python/pyspark/sql/tests.py

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[GitHub] [spark] HeartSaVioR commented on a change in pull request #22138: [SPARK-25151][SS] Apply Apache Commons Pool to KafkaDataConsumer

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[GitHub] [spark] HeartSaVioR commented on a change in pull request #22138: [SPARK-25151][SS] Apply Apache Commons Pool to KafkaDataConsumer

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[GitHub] [spark] huaxingao commented on a change in pull request #25525: [SPARK-28786][DOC][SQL]Document INSERT statement in SQL Reference

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