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##
File path: sql/core/src/main/scala/org/apache/spark/sql/DataFrameWriterV2.scala
##
@@ -0,0 +1,415 @@
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##
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##
@@ -3178,6 +3178,34 @@ class
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##
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##
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srowen opened a new pull request #25544: [SPARK-17875][CORE][BUILD] Remove
dependency on Netty 3
URL: https://github.com/apache/spark/pull/25544
### What changes were proposed in this pull request?
Spark uses Netty 4 directly, but also includes Netty 3 only because
transitive
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URL: https://github.com/apache/spark/pull/25354#discussion_r316443121
##
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##
@@ -3900,6 +3900,61 @@
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Checking the tests. The tests seemed to have
maropu commented on issue #25453: [SPARK-28730][SQL] Configurable type coercion
policy for table insertion
URL: https://github.com/apache/spark/pull/25453#issuecomment-523698132
> Totally agree. I prefer using the ANSI mode as default as well.
Disallowing the legacy mode in V2 also makes
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##
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##
@@ -19,4 +19,34
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[SPARK-28830][DOC][SQL]Document UNCACHE TABLE statement in SQL Reference
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WeichenXu123 commented on issue #25520: [SPARK-28621][SQL] Make
spark.sql.crossJoin.enabled default value true
URL: https://github.com/apache/spark/pull/25520#issuecomment-523714438
@maropu Yep, we can move the `CheckCartesianProducts` to planner stage and
fix some mismatching errors.
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Supply UT for this cherry-pick in the last commit.
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implement basic catalog functionalities for JDBC v2 with a DS v1 fallback API
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Updated DataStreamReaderWriterSuite tests which
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Split aggregation code into small functions
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Split aggregation code into small functions
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Checking the tests. The tests seemed to
maropu commented on issue #25347: [SPARK-28610][SQL] Allow having a decimal
buffer for long sum
URL: https://github.com/apache/spark/pull/25347#issuecomment-523695857
> Spark needs to follow SQL standard but not Postgres, so making Spark
behave the same with Postgres is not a strong
keypointt commented on a change in pull request #25104: [WIP][SPARK-28341][SQL]
refine the v2 session catalog config
URL: https://github.com/apache/spark/pull/25104#discussion_r316457679
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[WIP][SPARK-28723][test-hadoop3.2][test-maven] Test JDK 11 with Hadoop-3.2/Hive
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