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HyukjinKwon closed pull request #25676: [SPARK-28272][SQL][PYTHON][TESTS]
Convert and port 'pgSQL/aggregates_part3.sql' into UDF test base
URL: https://github.com/apache/spark/pull/25676
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HyukjinKwon closed pull request #25677: [SPARK-28971][SQL][PYTHON][TESTS]
Convert and port 'pgSQL/aggregates_part4.sql' into UDF test base
URL: https://github.com/apache/spark/pull/25677
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HyukjinKwon commented on issue #25677: [SPARK-28971][SQL][PYTHON][TESTS]
Convert and port 'pgSQL/aggregates_part4.sql' into UDF test base
URL: https://github.com/apache/spark/pull/25677#issuecomment-528283377
I am just going to merge this. This is pretty straightforward.
--
HyukjinKwon commented on issue #25676: [SPARK-28272][SQL][PYTHON][TESTS]
Convert and port 'pgSQL/aggregates_part3.sql' into UDF test base
URL: https://github.com/apache/spark/pull/25676#issuecomment-528283360
I am just going to merge this. This is pretty straightforward.
--
HyukjinKwon commented on issue #25687: [SPARK-28977][DOCS][SQL] Fix
DataFrameReader.json docs to doc that partition column can be numeric, date or
timestamp type
URL: https://github.com/apache/spark/pull/25687#issuecomment-528282682
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HyukjinKwon closed pull request #25687: [SPARK-28977][DOCS][SQL] Fix
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URL: https://github.com/apache/spark/pull/25687
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cc @mgaido91 @maropu @cloud-fan
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zhengruifeng commented on a change in pull request #21632:
[SPARK-19591][ML][MLlib] Add sample weights to decision trees
URL: https://github.com/apache/spark/pull/21632#discussion_r321156681
##
File path: mllib/src/main/scala/org/apache/spark/ml/tree/treeParams.scala
##
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deshanxiao commented on issue #25692: [SPARK-28987][CORE]
DiskBlockManager#createTempShuffleBlock should skip read-only directory
URL: https://github.com/apache/spark/pull/25692#issuecomment-528271271
@srowen kindly review
Th
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gengliangwang opened a new pull request #25693: [SPARK-28989][SQL] Add
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URL: https://github.com/apache/spark/pull/25693
### What changes were proposed in this pull request?
Currently, there are new configurations for compatibility with ANSI SQL:
* s
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juliuszsompolski commented on issue #25691: [SPARK-28901][SQL][FLLOW-UP]
SparkThriftServer's Cancel SQL Operation show it in JDBC Tab UI
URL: https://github.com/apache/spark/pull/25691#issuecomment-528261601
@AngersZh It's good now. FINISHED should not be there. A statement in
FINISHE
deshanxiao opened a new pull request #25692: [SPARK-28987][CORE]
DiskBlockManager#createTempShuffleBlock should skip read-only directory
URL: https://github.com/apache/spark/pull/25692
### What changes were proposed in this pull request?
Skip read-only directory when pick the path of shu
cloud-fan commented on issue #25684: [SPARK-28980][CORE][SQL][STREAMING][MLLIB]
Remove most items deprecated in Spark 2.2.0 or earlier, for Spark 3
URL: https://github.com/apache/spark/pull/25684#issuecomment-528255285
the SQL part LGTM. I think `SQLContext.createExternalTable` was meant to
cloud-fan commented on issue #25512: [SPARK-28782][SQL] Generator support in
aggregate expressions
URL: https://github.com/apache/spark/pull/25512#issuecomment-528254607
thanks, merging to master!
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cloud-fan closed pull request #25512: [SPARK-28782][SQL] Generator support in
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URL: https://github.com/apache/spark/pull/25512
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retest this please
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cloud-fan commented on a change in pull request #25586: [SPARK-28878][SQL]
Remove extra project for DSv2 reads with columnar batches
URL: https://github.com/apache/spark/pull/25586#discussion_r321117968
##
File path:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasource
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AmplabJenkins commented on issue #25691: [SPARK-28901][SQL][FLLOW-UP]
SparkThriftServer's Cancel SQL Operation show it in JDBC Tab UI
URL: https://github.com/apache/spark/pull/25691#issuecomment-528242602
Can one of the admins verify this patch?
---
AmplabJenkins commented on issue #25691: [SPARK-28901][SQL][FLLOW-UP]
SparkThriftServer's Cancel SQL Operation show it in JDBC Tab UI
URL: https://github.com/apache/spark/pull/25691#issuecomment-528241877
Can one of the admins verify this patch?
---
cloud-fan closed pull request #25586: [SPARK-28878][SQL] Remove extra project
for DSv2 reads with columnar batches
URL: https://github.com/apache/spark/pull/25586
This is an automated message from the Apache Git Service.
To
cloud-fan commented on issue #25586: [SPARK-28878][SQL] Remove extra project
for DSv2 reads with columnar batches
URL: https://github.com/apache/spark/pull/25586#issuecomment-528240624
thanks, merging to master!
This is an au
SparkQA commented on issue #25671: [SPARK-28968][ML] Add HasNumFeatures in the
scala side
URL: https://github.com/apache/spark/pull/25671#issuecomment-528240100
**[Test build #110167 has
started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/110167/testReport)**
for P
AngersZh commented on issue #25691: [SPARK-28901][SQL][FLLOW-UP]
SparkThriftServer's Cancel SQL Operation show it in JDBC Tab UI
URL: https://github.com/apache/spark/pull/25691#issuecomment-528240243
@juliuszsompolski A little mistake, miss end status of FINISHED
-
AngersZh opened a new pull request #25691: [SPARK-28901][SQL][FLLOW-UP]
SparkThriftServer's Cancel SQL Operation show it in JDBC Tab UI
URL: https://github.com/apache/spark/pull/25691
### What changes were proposed in this pull request?
For last pr https://github.com/apache/spark/pu
zhengruifeng commented on a change in pull request #25671: [SPARK-28968][ML]
Add HasNumFeatures in the scala side
URL: https://github.com/apache/spark/pull/25671#discussion_r321112485
##
File path: python/pyspark/ml/param/shared.py
##
@@ -288,6 +288,7 @@ class HasNumFeatur
zhengruifeng commented on a change in pull request #25671: [SPARK-28968][ML]
Add HasNumFeatures in the scala side
URL: https://github.com/apache/spark/pull/25671#discussion_r321110758
##
File path:
mllib/src/main/scala/org/apache/spark/ml/param/shared/sharedParams.scala
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xuanyuanking commented on a change in pull request #25620: [SPARK-25341][Core]
Support rolling back a shuffle map stage and re-generate the shuffle files
URL: https://github.com/apache/spark/pull/25620#discussion_r321108299
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File path:
core/src/main/java/org/apache/spark/shuffle/
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