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also cc @yhuai @cloud-fan
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[SPARK-16184][SPARKR] conf API for SparkSession
## What changes were proposed in this pull request?
Add `conf` to get SparkSession Runtime Config
## How was this patch tes
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Sorry. I am not sure I get it. We can set the row group size to a small
size. Then, it will not be hard to create a parquet file having multiple row
groups.
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Jenkins, retest this please
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Thanks. Merging to master and branch 2.0.
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--- Diff: R/pkg/R/DataFrame.R ---
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Thanks - can you describe the bug in the pr description?
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https://gist.github.com/vlad17/964c0a93510d79cb130c33700f6139b7
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What is the bug?
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Github user cloud-fan commented on the issue:
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having 2 implementations is also kind of a branch: the virtual function
call need to be dispatched between these 2 implementations, while the only one
implementation can be marked as final and doe
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LGTM. Merged into master and branch-2.0. Thanks!
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[SPARK-16179] [PYSPARK] fix bugs for Python udf in generate
## What changes were proposed in this pull request?
This PR fix the bug when Python UDF is used in explode (generator),
Generate
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[SPARK-16181][SQL: outer join with isNull filter may return wrong result
## What changes were proposed in this pull request?
The root cause is: the output attributes of outer join are der
Github user viirya commented on the issue:
https://github.com/apache/spark/pull/13701
@yhuai As I mentioned in the description, I am not sure if we can
manipulate row groups as we want, but I have manually tested it to show the
actually scanned row numbers.
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Thank you for the testing. Can you also test the case that a file contains
multiple row groups and we can avoid of scanning unneeded ones?
Also since it is not fixing a critical bug, let's not
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Merged into master and branch-2.0. Thanks for reviewing!
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lgtm
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Github user kiszk commented on the issue:
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@cloud-fan , for the first issue, we are on the same page. Your proposal is
what I am thinking about as possible solutions. I will do that.
For the second issue, it seems to be design choice b
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LGTM
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retest this please.
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The new document in the screenshot looks pretty good to me.
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--- Diff:
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@@ -65,4 +68,77 @@ class QueryPartitionSuite extends QueryTest wi
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--- Diff: R/pkg/R/mllib.R ---
@@ -390,23 +376,41 @@ setMethod("predict", signature(object =
"KMeansModel"),
return(dataFrame(callJMethod(ob
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@mengxr Thanks for your review. Sent update for the style issue.
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--- Diff:
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@@ -232,7 +233,9 @@ object MinMaxScalerModel extends
MLReadable[MinMaxScale
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ok to test
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ok, i will work on it based on comments. Thanks.
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https://github.com/apache/spark/pull/13844#discussion_r68350339
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/feature/MinMaxScaler.scala ---
@@ -232,7 +233,9 @@ object MinMaxScalerModel extends
MLReadable[MinMaxScale
Github user mengxr commented on the issue:
https://github.com/apache/spark/pull/13879
LGTM. Merged into master and branch-2.0. Thanks!
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Github user SparkQA commented on the issue:
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Github user asfgit closed the pull request at:
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Github user hvanhovell commented on the issue:
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LGTM - thanks! Merging to master/2.0.
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Github user viirya commented on the issue:
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ping @liancheng @yhuai again...
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