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[GitHub] [spark] HyukjinKwon commented on pull request #28833: [SPARK-20680][SQL] Spark-sql do not support for creating table with void column datatype

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HyukjinKwon commented on pull request #28833: URL: https://github.com/apache/spark/pull/28833#issuecomment-655298519 Thanks guys, sure. I will make a followup. This is an automated message from the Apache Git Service. To

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[GitHub] [spark] HyukjinKwon edited a comment on pull request #28993: [SPARK-32168][SQL] Fix hidden partitioning correctness bug in SQL overwrite

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HyukjinKwon edited a comment on pull request #28993: URL: https://github.com/apache/spark/pull/28993#issuecomment-655233411 ~~One question https://github.com/apache/spark/pull/28993#discussion_r451234819. Otherwise, I am okay considering that it's still under development.~~ I misread.

[GitHub] [spark] HyukjinKwon edited a comment on pull request #28993: [SPARK-32168][SQL] Fix hidden partitioning correctness bug in SQL overwrite

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HyukjinKwon edited a comment on pull request #28993: URL: https://github.com/apache/spark/pull/28993#issuecomment-655233411 ~~One question https://github.com/apache/spark/pull/28993#discussion_r451234819. Otherwise, I am okay considering that it's still under development. ~~ I misread.

[GitHub] [spark] HyukjinKwon commented on a change in pull request #28993: [SPARK-32168][SQL] Fix hidden partitioning correctness bug in SQL overwrite

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HyukjinKwon commented on a change in pull request #28993: URL: https://github.com/apache/spark/pull/28993#discussion_r451292098 ## File path: sql/catalyst/src/test/scala/org/apache/spark/sql/connector/InMemoryTable.scala ## @@ -78,10 +92,44 @@ class InMemoryTable(

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[GitHub] [spark] dongjoon-hyun edited a comment on pull request #28833: [SPARK-20680][SQL] Spark-sql do not support for creating table with void column datatype

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dongjoon-hyun edited a comment on pull request #28833: URL: https://github.com/apache/spark/pull/28833#issuecomment-655295006 Could you make a follow-up(full revert or partial revert) as what you suggest, @HyukjinKwon ?

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dongjoon-hyun commented on pull request #28833: URL: https://github.com/apache/spark/pull/28833#issuecomment-655295006 Could you make a follow-up as what you suggest, @HyukjinKwon ? This is an automated message from the

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[GitHub] [spark] cloud-fan commented on pull request #29026: [SPARK-28067][SPARK-32018] Fix decimal overflow issues

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[GitHub] [spark] cloud-fan commented on pull request #28833: [SPARK-20680][SQL] Spark-sql do not support for creating table with void column datatype

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cloud-fan commented on pull request #28833: URL: https://github.com/apache/spark/pull/28833#issuecomment-655292960 `NullType` is a stable public class, I don't think we can drop it. The intention is to only allow parsing `NullType` for the type string of legacy hive tables. But

[GitHub] [spark] dongjoon-hyun edited a comment on pull request #28833: [SPARK-20680][SQL] Spark-sql do not support for creating table with void column datatype

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dongjoon-hyun edited a comment on pull request #28833: URL: https://github.com/apache/spark/pull/28833#issuecomment-655291242 First of all, it's not a good idea to add `NullType` into a new Spark datatype officially. Not only the exposure causes more complexity, but also what can we do in

[GitHub] [spark] dongjoon-hyun commented on pull request #28833: [SPARK-20680][SQL] Spark-sql do not support for creating table with void column datatype

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dongjoon-hyun commented on pull request #28833: URL: https://github.com/apache/spark/pull/28833#issuecomment-655291242 First of all, it's not a good idea to add `NullType` into a new Spark datatype officially. If that is an official type, what can we do in Spark SQL world

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[GitHub] [spark] sarutak commented on a change in pull request #28803: [SPARK-31971][WEBUI] Add pagination support for all jobs timeline

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sarutak commented on a change in pull request #28803: URL: https://github.com/apache/spark/pull/28803#discussion_r451282622 ## File path: core/src/main/scala/org/apache/spark/ui/jobs/AllJobsPage.scala ## @@ -184,20 +188,52 @@ private[ui] class AllJobsPage(parent: JobsTab,

[GitHub] [spark] gengliangwang commented on pull request #28803: [SPARK-31971][WEBUI] Add pagination support for all jobs timeline

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gengliangwang commented on pull request #28803: URL: https://github.com/apache/spark/pull/28803#issuecomment-655283658 @sarutak I am really sorry I missed your ping last week. The perf problem is resolved in https://github.com/apache/spark/pull/28806. If we want to avoid perf issue in

[GitHub] [spark] sarutak commented on a change in pull request #28803: [SPARK-31971][WEBUI] Add pagination support for all jobs timeline

2020-07-07 Thread GitBox
sarutak commented on a change in pull request #28803: URL: https://github.com/apache/spark/pull/28803#discussion_r451282321 ## File path: core/src/main/scala/org/apache/spark/ui/jobs/AllJobsPage.scala ## @@ -184,20 +188,52 @@ private[ui] class AllJobsPage(parent: JobsTab,

[GitHub] [spark] gengliangwang commented on a change in pull request #28803: [SPARK-31971][WEBUI] Add pagination support for all jobs timeline

2020-07-07 Thread GitBox
gengliangwang commented on a change in pull request #28803: URL: https://github.com/apache/spark/pull/28803#discussion_r451280315 ## File path: core/src/main/scala/org/apache/spark/ui/jobs/AllJobsPage.scala ## @@ -184,20 +188,52 @@ private[ui] class AllJobsPage(parent:

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[GitHub] [spark] HyukjinKwon commented on pull request #29022: [SPARK-32207][SQL] Support 'F'-suffixed Float Literals

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[GitHub] [spark] cloud-fan commented on pull request #28993: [SPARK-32168][SQL] Fix hidden partitioning correctness bug in SQL overwrite

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cloud-fan commented on pull request #28993: URL: https://github.com/apache/spark/pull/28993#issuecomment-655281669 > python/pyspark/mllib/tests/test_streaming_algorithms.py", line 461, in condition >self.assertGreater(errors[1] - errors[-1], 2) > AssertionError: 1.672640157855923

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[GitHub] [spark] cloud-fan commented on a change in pull request #28993: [SPARK-32168][SQL] Fix hidden partitioning correctness bug in SQL overwrite

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cloud-fan commented on a change in pull request #28993: URL: https://github.com/apache/spark/pull/28993#discussion_r451280565 ## File path: sql/catalyst/src/test/scala/org/apache/spark/sql/connector/InMemoryTable.scala ## @@ -78,10 +92,44 @@ class InMemoryTable(

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[GitHub] [spark] HyukjinKwon edited a comment on pull request #28833: [SPARK-20680][SQL] Spark-sql do not support for creating table with void column datatype

2020-07-07 Thread GitBox
HyukjinKwon edited a comment on pull request #28833: URL: https://github.com/apache/spark/pull/28833#issuecomment-655277714 Re: https://github.com/apache/spark/pull/28833#discussion_r448165084 Sorry I read the comments just now. So the decision here is we allow to parse `void` as

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