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Closing it since it's merged into 2.0.
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--- Diff:
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--- Diff: sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala ---
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GitHub user viirya opened a pull request:
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[SPARK-17866][SPARK-17867][SQL] Fix Dataset.dropduplicates
## What changes were proposed in this pull request?
Two issues regarding Dataset.dropduplicates:
1.
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--- Diff: core/src/main/scala/org/apache/spark/MapOutputTracker.scala ---
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--- Diff:
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--- Diff:
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+/*
+ * Licensed to the Apache
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--- Diff:
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@@ -62,7 +62,7 @@ case class
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+/*
+ * Licensed under the Apache License,
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Jenkins, retest this please.
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--- Diff: sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala ---
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This fails on AppVeyor - any idea?
```
. Error: SPARK-17811: can create DataFrame containing NA as date and time
(@test_sparkSQL.R#388)
org.apache.spark.SparkException: Job aborted
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retest this please
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--- Diff: R/pkg/DESCRIPTION ---
@@ -11,7 +11,8 @@ Authors@R: c(person("Shivaram", "Venkataraman", role =
c("aut", "cre"),
email
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cc @cloud-fan Could you review it again? Thanks!
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--- Diff:
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@@ -499,13 +414,38 @@ object KMeans {
* @param data Training
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--- Diff: sql/core/src/main/scala/org/apache/spark/sql/functions.scala ---
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* @group datetime_funcs
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cc @cloud-fan
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merging to master!
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[SPARK-17840] [DOCS] Add some pointers for wiki/CONTRIBUTING.md in
README.md and some warnings in PULL_REQUEST_TEMPLATE
## What changes were proposed in this pull request?
Link to
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thanks, merging to master!
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--- Diff: mllib/src/main/scala/org/apache/spark/ml/feature/Bucketizer.scala
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@@ -128,8 +145,9 @@ object Bucketizer extends
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--- Diff:
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--- Diff: core/src/main/scala/org/apache/spark/MapOutputTracker.scala ---
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--- Diff: core/src/main/scala/org/apache/spark/shuffle/ShuffleManager.scala
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handle:
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--- Diff:
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@@ -168,17 +168,7 @@ class SparkSqlAstBuilder(conf: SQLConf)
GitHub user yanboliang opened a pull request:
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[SPARK-15957][Follow-up][ML][PySpark] Add Python API for RFormula
forceIndexLabel.
## What changes were proposed in this pull request?
Follow-up work of #13675, add Python API for
Github user MLnick commented on the issue:
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I misread DB's meaning in my previous comment.
I agree that the parameter settings of `initialModel`, if set, should take
precedence. If it conflicts with an existing `k` then log a warning.
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}
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--- Diff:
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@@ -531,6 +471,7 @@ object KMeans {
*
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--- Diff: sql/core/src/main/scala/org/apache/spark/sql/functions.scala ---
@@ -2374,14 +2374,14 @@ object functions {
* @group datetime_funcs
*
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LGTM
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Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/14702
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GitHub user VinceShieh opened a pull request:
https://github.com/apache/spark/pull/15428
[SPARK-17219][ML] enchanced NaN value handling in Bucketizer
## What changes were proposed in this pull request?
This PR is an enhancement of PR with commit
Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/15428
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Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/15425
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Github user cloud-fan commented on the issue:
https://github.com/apache/spark/pull/14847
@viirya can you try to create a new operator for this optimization and make
it work with whole-stage-codegen? thanks!
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Github user hvanhovell commented on a diff in the pull request:
https://github.com/apache/spark/pull/15072#discussion_r82743571
--- Diff: sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala ---
@@ -53,7 +53,15 @@ import org.apache.spark.util.Utils
private[sql]
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