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[GitHub] [spark] viirya commented on a change in pull request #25306: [SPARK-28573][SQL] Convert InsertIntoTable(HiveTableRelation) to DataSource inserting for partitioned table

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[GitHub] [spark] viirya commented on a change in pull request #25306: [SPARK-28573][SQL] Convert InsertIntoTable(HiveTableRelation) to DataSource inserting for partitioned table

viirya commented on a change in pull request #25306: [SPARK-28573][SQL] Convert InsertIntoTable(HiveTableRelation) to DataSource inserting for partitioned table URL: https://github.com/apache/spark/pull/25306#discussion_r311369535 ## File path:

[GitHub] [spark] jzhuge commented on issue #25330: [SPARK-28565][SQL] DataFrameWriter saveAsTable support for V2 catalogs

jzhuge commented on issue #25330: [SPARK-28565][SQL] DataFrameWriter saveAsTable support for V2 catalogs URL: https://github.com/apache/spark/pull/25330#issuecomment-518943311 It'd better to group READ/SELECT and saveAsTable together because they both are affected by the change in

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[GitHub] [spark] viirya commented on a change in pull request #25354: [SPARK-28612][SQL] Add DataFrameWriterV2 API

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[GitHub] [spark] advancedxy commented on a change in pull request #25306: [SPARK-28573][SQL] Convert InsertIntoTable(HiveTableRelation) to DataSource inserting for partitioned table

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[GitHub] [spark] advancedxy commented on a change in pull request #25306: [SPARK-28573][SQL] Convert InsertIntoTable(HiveTableRelation) to DataSource inserting for partitioned table

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[GitHub] [spark] advancedxy commented on a change in pull request #25306: [SPARK-28573][SQL] Convert InsertIntoTable(HiveTableRelation) to DataSource inserting for partitioned table

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brkyvz commented on issue #25330: [SPARK-28565][SQL] DataFrameWriter saveAsTable support for V2 catalogs URL: https://github.com/apache/spark/pull/25330#issuecomment-518931990 Sounds good. I can separate the session catalog things. That's a valid point around requiring more tests around

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gatorsmile removed a comment on issue #24623: [SPARK-27739][SQL] df.persist should save stats from optimized plan URL: https://github.com/apache/spark/pull/24623#issuecomment-518945644 We do have the leaf nodes that can provide stats. Not sure why we are unable to test the PR? Anybody can

[GitHub] [spark] cloud-fan commented on a change in pull request #25348: [RFC][SPARK-28554][SQL] Adds a v1 fallback writer implementation for v2 data source codepaths

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[GitHub] [spark] gatorsmile commented on issue #24623: [SPARK-27739][SQL] df.persist should save stats from optimized plan

gatorsmile commented on issue #24623: [SPARK-27739][SQL] df.persist should save stats from optimized plan URL: https://github.com/apache/spark/pull/24623#issuecomment-518945763 cc @cloud-fan @gengliangwang This is an

[GitHub] [spark] gatorsmile commented on issue #24623: [SPARK-27739][SQL] df.persist should save stats from optimized plan

gatorsmile commented on issue #24623: [SPARK-27739][SQL] df.persist should save stats from optimized plan URL: https://github.com/apache/spark/pull/24623#issuecomment-518945644 We do have the leaf nodes that can provide stats. Not sure why we are unable to test the PR? Anybody can dig it

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[GitHub] [spark] beliefer commented on issue #25309: [SPARK-28577][YARN]Resource capability requested for each executor add offHeapMemorySize

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[GitHub] [spark] viirya commented on a change in pull request #25306: [SPARK-28573][SQL] Convert InsertIntoTable(HiveTableRelation) to DataSource inserting for partitioned table

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[GitHub] [spark] cloud-fan commented on a change in pull request #25348: [RFC][SPARK-28554][SQL] Adds a v1 fallback writer implementation for v2 data source codepaths

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[GitHub] [spark] cloud-fan commented on a change in pull request #24623: [SPARK-27739][SQL] df.persist should save stats from optimized plan

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[GitHub] [spark] brkyvz commented on issue #25330: [SPARK-28565][SQL] DataFrameWriter saveAsTable support for V2 catalogs

brkyvz commented on issue #25330: [SPARK-28565][SQL] DataFrameWriter saveAsTable support for V2 catalogs URL: https://github.com/apache/spark/pull/25330#issuecomment-518932219 Or would you mind if those are added as a follow up in supporting INSERT INTO as well?

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[GitHub] [spark] maryannxue commented on a change in pull request #25328: [SPARK-28595][SQL] explain should not trigger partition listing

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[GitHub] [spark] dongjinleekr commented on issue #22282: [SPARK-23539][SS] Add support for Kafka headers in Structured Streaming

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[GitHub] [spark] gaborgsomogyi commented on a change in pull request #25310: [SPARK-28578][INFRA] Improve Github pull request template

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