[GitHub] [spark] keypointt commented on a change in pull request #25291: [SPARK-28554][SQL] implement basic catalog functionalities for JDBC v2 with a DS v1 fallback API

keypointt commented on a change in pull request #25291: [SPARK-28554][SQL] implement basic catalog functionalities for JDBC v2 with a DS v1 fallback API URL: https://github.com/apache/spark/pull/25291#discussion_r316408187 ## File path:

[GitHub] [spark] rdblue commented on a change in pull request #25465: [SPARK-28747][SQL] merge the two data source v2 fallback configs

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rdblue commented on a change in pull request #25465: [SPARK-28747][SQL] merge the two data source v2 fallback configs URL: https://github.com/apache/spark/pull/25465#discussion_r316410032 ## File path: sql/core/src/main/scala/org/apache/spark/sql/DataFrameWriter.scala ##

[GitHub] [spark] rdblue commented on a change in pull request #25465: [SPARK-28747][SQL] merge the two data source v2 fallback configs

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[GitHub] [spark] rdblue commented on issue #25536: [SPARK-28837][SQL] CTAS/RTAS should use nullable schema

rdblue commented on issue #25536: [SPARK-28837][SQL] CTAS/RTAS should use nullable schema URL: https://github.com/apache/spark/pull/25536#issuecomment-523653110 > I've seen many parquet files corrupted with nulls written to non-nullable fields according to Parquet's schema I've not

[GitHub] [spark] keypointt commented on a change in pull request #25291: [SPARK-28554][SQL] implement basic catalog functionalities for JDBC v2 with a DS v1 fallback API

keypointt commented on a change in pull request #25291: [SPARK-28554][SQL] implement basic catalog functionalities for JDBC v2 with a DS v1 fallback API URL: https://github.com/apache/spark/pull/25291#discussion_r316406454 ## File path:

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[GitHub] [spark] rdblue commented on a change in pull request #25247: [SPARK-28319][SQL] Implement SHOW TABLES for Data Source V2 Tables

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vanzin commented on issue #25517: [SPARK-26895][CORE][branch-2.3] prepareSubmitEnvironment should be called within doAs for proxy users URL: https://github.com/apache/spark/pull/25517#issuecomment-523638489 Hmm. That failure is SPARK-25586, which IIRC shouldn't be triggered on 2.3. Let me

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[GitHub] [spark] mgaido91 commented on issue #19659: [SPARK-19668][ML] Multiple NGram sizes

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[GitHub] [spark] keypointt commented on a change in pull request #25536: [SPARK-28837][SQL] CTAS/RTAS should use nullable schema

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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

huaxingao commented on a change in pull request #25525: [SPARK-28786][DOC][SQL]Document INSERT statement in SQL Reference URL: https://github.com/apache/spark/pull/25525#discussion_r316372362 ## File path: docs/sql-ref-syntax-dml-dynamic-partition-insert.md ## @@ -0,0

[GitHub] [spark] holdenk commented on issue #19659: [SPARK-19668][ML] Multiple NGram sizes

holdenk commented on issue #19659: [SPARK-19668][ML] Multiple NGram sizes URL: https://github.com/apache/spark/pull/19659#issuecomment-523620910 Although if you have a use case/ are interested in this @mgaido91 I'm happy to help with the review.

[GitHub] [spark] holdenk commented on issue #19659: [SPARK-19668][ML] Multiple NGram sizes

holdenk commented on issue #19659: [SPARK-19668][ML] Multiple NGram sizes URL: https://github.com/apache/spark/pull/19659#issuecomment-523620581 I haven't seen much demand for it, so I think closing it is probably reasonable. We can re-open the issue if there is demand.

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

maryannxue commented on issue #25464: [SPARK-28746][SQL] Add partitionby hint for sql queries URL: https://github.com/apache/spark/pull/25464#issuecomment-523619478 I'm not against it, but is it possible to extend the existing "repartition" hint grammar to achieve this?

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[GitHub] [spark] srowen commented on issue #25524: [SPARK-28788][DOC][SQL]Document ANALYZE TABLE statement in SQL Reference

srowen commented on issue #25524: [SPARK-28788][DOC][SQL]Document ANALYZE TABLE statement in SQL Reference URL: https://github.com/apache/spark/pull/25524#issuecomment-523618631 Oh, I realize now you are just copying the Databricks documentation?

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