HyukjinKwon closed pull request #25753: [SPARK-29046][SQL] Fix NPE in
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URL: https://github.com/apache/spark/pull/25753
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URL: https://github.com/apache/spark/pull/25753#issuecomment-530635890
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xuanyuanking opened a new pull request #25768: [SPARK-29063][SQL] Modify
fillValue approach to support joined dataframe
URL: https://github.com/apache/spark/pull/25768
### What changes were proposed in this pull request?
Modify the approach in `DataFrameNaFunctions.fillValue`, the new
AmplabJenkins commented on issue #25767: [SPARK-29062][SQL] Add V1_BATCH_WRITE
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gatorsmile commented on issue #25749: [SPARK-29041][PYTHON] Allows
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URL: https://github.com/apache/spark/pull/25749#issuecomment-530661185
Do we have a user-facing documentation about type mapping?
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imback82 commented on a change in pull request #25771: [SPARK-28970][SQL]
Implement USE CATALOG/NAMESPACE for Data Source V2
URL: https://github.com/apache/spark/pull/25771#discussion_r323555674
##
File path:
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URL: https://github.com/apache/spark/pull/25771#issuecomment-530664917
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planga82 removed a comment on issue #25723: [SPARK-29019][WebUI] Improve
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URL: https://github.com/apache/spark/pull/23952#discussion_r323523231
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URL: https://github.com/apache/spark/pull/25758#issuecomment-530640285
retest this please
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URL: https://github.com/apache/spark/pull/25770
### What changes were proposed in this pull request?
### Why are the changes needed?
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HyukjinKwon closed pull request #25756: [MINOR][DOCS] Fix few typos in the java
docs
URL: https://github.com/apache/spark/pull/25756
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HyukjinKwon commented on issue #25756: [MINOR][DOCS] Fix few typos in the java
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URL: https://github.com/apache/spark/pull/25756#issuecomment-530616362
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SparkQA commented on issue #25753: [SPARK-29046][SQL] Fix NPE in SQLConf.get
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Thanks all for reviewing and merging!
dongjoon-hyun commented on a change in pull request #25734:
[SPARK-28939][SQL][2.4] Propagate SQLConf for plans executed by toRdd
URL: https://github.com/apache/spark/pull/25734#discussion_r323551425
##
File path:
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xianyinxin commented on issue #25626: [SPARK-28892][SQL] Add UPDATE support for
DataSource V2
URL: https://github.com/apache/spark/pull/25626#issuecomment-530662601
@rdblue, JDBC is the most important use case for this API I've seen. The
building of this API for JDBC is not started yet,
SparkQA commented on issue #25771: [SPARK-28970][SQL] Implement USE
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HyukjinKwon commented on issue #25763: [SPARK-29057][SQL] remove InsertIntoTable
URL: https://github.com/apache/spark/pull/25763#issuecomment-530614918
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maropu commented on issue #25710: [SPARK-29008][SQL] Define an individual
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URL: https://github.com/apache/spark/pull/25710#issuecomment-530619063
retest this please
brkyvz opened a new pull request #25767: [SPARK-29062] Add V1_BATCH_WRITE to
the TableCapabilityChecks
URL: https://github.com/apache/spark/pull/25767
### What changes were proposed in this pull request?
Currently the checks in the Analyzer require that V2 Tables have BATCH_WRITE
maropu commented on issue #25710: [SPARK-29008][SQL] Define an individual
method for each common subexpression in HashAggregateExec
URL: https://github.com/apache/spark/pull/25710#issuecomment-530619053
ping @cloud-fan @viirya
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dongjoon-hyun commented on a change in pull request #25734:
[SPARK-28939][SQL][2.4] Propagate SQLConf for plans executed by toRdd
URL: https://github.com/apache/spark/pull/25734#discussion_r323551991
##
File path: docs/sql-migration-guide-upgrade.md
##
@@ -7,6 +7,12 @@
viirya commented on a change in pull request #25710: [SPARK-29008][SQL] Define
an individual method for each common subexpression in HashAggregateExec
URL: https://github.com/apache/spark/pull/25710#discussion_r323562581
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JkSelf commented on a change in pull request #25295: [SPARK-28560][SQL]
Optimize shuffle reader to local shuffle reader when smj converted to bhj in
adaptive execution
URL: https://github.com/apache/spark/pull/25295#discussion_r323562618
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wangyum commented on issue #25762: [SPARK-29056] ThriftServerSessionPage
displays 1970/01/01 finish and close time when unset
URL: https://github.com/apache/spark/pull/25762#issuecomment-530677333
We did the same logic in
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HyukjinKwon edited a comment on issue #25749: [SPARK-29041][PYTHON] Allows
createDataFrame to accept bytes as binary type
URL: https://github.com/apache/spark/pull/25749#issuecomment-530607102
Yea. I agree with that bytes <> str was by design so I targeted only when
explicitly the type is
HyukjinKwon commented on issue #25749: [SPARK-29041][PYTHON] Allows
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URL: https://github.com/apache/spark/pull/25749#issuecomment-530607102
Yea. I agree with that bytes <> str was by design so I targeted only when
explicitly the type is
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