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maropu commented on a change in pull request #27675: [SPARK-30870][SQL] Fix
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URL: https://github.com/apache/spark/pull/27675#discussion_r382969363
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maropu commented on a change in pull request #27675: [SPARK-30870][SQL] Fix
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> For easy-to-cherrypick to branch-3.0, I think its better to split the PR
(to add the
huaxingao commented on a change in pull request #27570:
[SPARK-30820][SPARKR][ML] Add FMClassifier to SparkR
URL: https://github.com/apache/spark/pull/27570#discussion_r382965889
##
File path: examples/src/main/r/ml/fmClassifier.R
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@@ -0,0 +1,45 @@
+#
+# Licensed to the
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##
File path: docs/sparkr.md
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@@ -540,6 +540,7 @@ SparkR supports the following machine
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> For easy-to-cherrypick to branch-3.0, I think its better to split the PR
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imback82 commented on a change in pull request #27391: [SPARK-30612][SQL]
Resolve qualified column name with v2 tables
URL: https://github.com/apache/spark/pull/27391#discussion_r382964704
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For easy-to-cherrypicking to branch-3.0, I think its better to split the PR
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> For easy-to-cherrypick to branch-3.0, I think its better to split the PR
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brkyvz opened a new pull request #27677: [SPARK-30924][SQL] Add additional
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URL: https://github.com/apache/spark/pull/27677
### What changes were proposed in this pull request?
Merge Into is currently missing additional validation around:
1. The lack of
nandini57 commented on issue #27056: [SPARK-27217][SQL] Nested schema pruning
with Aggregation
URL: https://github.com/apache/spark/pull/27056#issuecomment-590015859
Thanks takeshi for the quick reply.i utilized extra optimization to include
spark 4502 changes and it works pretty
maropu commented on issue #27674: [SPARK-30888][CORE][DOC] Add version
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URL: https://github.com/apache/spark/pull/27674#issuecomment-590015119
For easy-to-cherrypick to branch-3.0, I think its better to split the PR (to
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viirya commented on a change in pull request #27617: [SPARK-30865][SQL]
Refactor DateTimeUtils
URL: https://github.com/apache/spark/pull/27617#discussion_r382953681
##
File path:
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##
@@
viirya commented on a change in pull request #27617: [SPARK-30865][SQL]
Refactor DateTimeUtils
URL: https://github.com/apache/spark/pull/27617#discussion_r382953704
##
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##
@@
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maropu commented on issue #27651: [SPARK-30903][SQL] Fail fast on duplicate
columns when analyze columns
URL: https://github.com/apache/spark/pull/27651#issuecomment-590014317
Thanks! Merged to master/3.0!
Just in case, I've checked that pgSQL has the same behaivour;
```
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AmplabJenkins removed a comment on issue #27570: [SPARK-30820][SPARKR][ML] Add
FMClassifier to SparkR
URL: https://github.com/apache/spark/pull/27570#issuecomment-590014114
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