Github user AmplabJenkins commented on the pull request:
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GitHub user sullis opened a pull request:
https://github.com/apache/spark/pull/11847
upgrade joda-time: 2.9 -> 2.9.2
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/sullis/spark joda-time-2.9.2
Alternatively you can review and
Github user flyjy commented on the pull request:
https://github.com/apache/spark/pull/11812#issuecomment-198852800
Thanks. I have checked that the problem still exists with only the adaptive
learning rate change.
So, I will fix this bug without change the existing interface.
Github user cloud-fan commented on the pull request:
https://github.com/apache/spark/pull/11756#issuecomment-197629010
LGTM, cc @davies for another look.
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Github user holdenk commented on a diff in the pull request:
https://github.com/apache/spark/pull/11105#discussion_r56426605
--- Diff: core/src/main/scala/org/apache/spark/Accumulable.scala ---
@@ -146,6 +212,32 @@ class Accumulable[R, T] private (
def merge(term: R) {
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--- Diff:
mllib/src/main/scala/org/apache/spark/ml/tree/impl/RandomForest.scala ---
@@ -842,60 +842,59 @@ private[ml] object RandomForest extends Logging
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--- Diff: mllib/src/main/scala/org/apache/spark/ml/param/params.scala ---
@@ -549,7 +548,9 @@ trait Params extends Identifiable with Serializable {
*
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Github user tgravescs commented on the pull request:
https://github.com/apache/spark/pull/11692#issuecomment-197342124
So inside of hadoop in the getApplicationReport call, it was in
RetryInvocationHandler which was doing a sleep and got an interrupted
exception. That ended up
Github user keypointt commented on the pull request:
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cc @mengxr
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Github user JoshRosen commented on the pull request:
https://github.com/apache/spark/pull/11701#issuecomment-197535055
Since all of this code is going to be changed heavily / removed after your
final patch, I'm going to go ahead and just leave the Maven test path unchanged
so that we
Github user rxin commented on the pull request:
https://github.com/apache/spark/pull/11806#issuecomment-198207204
The efficiency of compression algorithms usually goes down as the frame
(block) size goes down.
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Github user wangmiao1981 commented on the pull request:
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close this one as it has been merged with 11707.
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Github user srowen commented on a diff in the pull request:
https://github.com/apache/spark/pull/11803#discussion_r56646795
--- Diff: pom.xml ---
@@ -1733,7 +1733,7 @@
-${maven.version}
+
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https://github.com/apache/spark/pull/11750#discussion_r56422492
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/catalog/interface.scala
---
@@ -211,8 +214,7 @@ case class CatalogTablePartition(
*
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Github user jkbradley commented on the pull request:
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@hhbyyh Thanks for the PR! LGTM, I agree with the use of minTF
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Github user asfgit closed the pull request at:
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Github user yinxusen commented on the pull request:
https://github.com/apache/spark/pull/11807#issuecomment-198147707
@jkbradley This is a follow-up for https://github.com/apache/spark/pull/9884
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Github user holdenk commented on a diff in the pull request:
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--- Diff:
core/src/main/scala/org/apache/spark/util/random/RandomSampler.scala ---
@@ -155,6 +171,28 @@ class BernoulliSampler[T: ClassTag](fraction:
Github user davies commented on a diff in the pull request:
https://github.com/apache/spark/pull/11676#discussion_r56455098
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/basicOperators.scala ---
@@ -80,12 +81,21 @@ case class Filter(condition: Expression, child:
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Github user viirya commented on the pull request:
https://github.com/apache/spark/pull/11676#issuecomment-197698865
cc @davies Can you please review this?
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GitHub user carsonwang opened a pull request:
https://github.com/apache/spark/pull/11813
[SPARK-13889][YARN][Branch-1.6]Fix the calculation of the max number of
executor failure
## What changes were proposed in this pull request?
Backport #11713 to 1.6.
The max number
Github user rxin commented on a diff in the pull request:
https://github.com/apache/spark/pull/11788#discussion_r56617782
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/joins/ShuffledHashJoin.scala
---
@@ -0,0 +1,95 @@
+/*
+ * Licensed to the Apache
Github user liancheng commented on the pull request:
https://github.com/apache/spark/pull/11822#issuecomment-198318534
Personally, I had once been quite confused by the fact that
`NamedExpression.qualifiers` is a `Seq[String]` and thought that attributes can
be qualified with
Github user sameeragarwal commented on the pull request:
https://github.com/apache/spark/pull/11799#issuecomment-198152113
Thanks, all comments addressed!
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Github user srowen commented on the pull request:
https://github.com/apache/spark/pull/11806#issuecomment-198314857
It does mean each record is compressed separately. Maybe that makes sense
for huge records, or somehow facilitates processing pieces of a block (since
the whole block
Github user cloud-fan commented on the pull request:
https://github.com/apache/spark/pull/11764#issuecomment-197641888
The log says: `java.lang.RuntimeException: spark-core: Binary compatibility
check failed!`, but no reason is provided... cc @JoshRosen
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Github user rxin commented on a diff in the pull request:
https://github.com/apache/spark/pull/11815#discussion_r56620898
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/planning/patterns.scala
---
@@ -202,3 +203,14 @@ object Unions {
}
}
Github user gatorsmile closed the pull request at:
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GitHub user gatorsmile reopened a pull request:
https://github.com/apache/spark/pull/11846
[SPARK-13957] [SQL] Support Group By Ordinal in SQL
What changes were proposed in this pull request?
This PR is to support group by position in SQL. For example, when users
input the
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Github user jkbradley commented on the pull request:
https://github.com/apache/spark/pull/10607#issuecomment-198033902
Thanks for doing this migration. I checked the PR and it LGTM
Your tests look good to me. The tests all seem fairly close, except for a
couple of outliers,
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Github user yhuai commented on the pull request:
https://github.com/apache/spark/pull/11787#issuecomment-197977494
Thanks. I am merging this to master.
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Github user dongjoon-hyun commented on a diff in the pull request:
https://github.com/apache/spark/pull/11773#discussion_r56431109
--- Diff: sql/core/src/test/scala/org/apache/spark/sql/JoinSuite.scala ---
@@ -49,7 +49,6 @@ class JoinSuite extends QueryTest with SharedSQLContext {
GitHub user gatorsmile opened a pull request:
https://github.com/apache/spark/pull/11846
[SPARK-13957] [SQL] Support Group By Ordinal in SQL
What changes were proposed in this pull request?
This PR is to support group by position in SQL. For example, when users
input the
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https://github.com/apache/spark/pull/11794#discussion_r56697868
--- Diff:
core/src/main/java/org/apache/spark/shuffle/sort/ShuffleExternalSorter.java ---
@@ -320,7 +320,15 @@ private void growPointerArrayIfNecessary()
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Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/11663#discussion_r56406664
--- Diff: python/pyspark/ml/param/__init__.py ---
@@ -275,23 +382,9 @@ def _set(self, **kwargs):
"""
for param, value in
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https://github.com/apache/spark/pull/11773#discussion_r56431084
--- Diff: project/MimaExcludes.scala ---
@@ -299,13 +299,11 @@ object MimaExcludes {
// [SPARK-13244][SQL] Migrates DataFrame to Dataset
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--- Diff:
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---
@@ -0,0 +1,200 @@
+/*
+ * Licensed to the Apache
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--- Diff: python/pyspark/ml/param/__init__.py ---
@@ -32,13 +35,17 @@ class Param(object):
.. versionadded:: 1.3.0
"""
-def
Github user sitalkedia commented on a diff in the pull request:
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--- Diff:
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@@ -320,7 +320,15 @@ private void growPointerArrayIfNecessary()
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Github user sethah commented on a diff in the pull request:
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--- Diff: python/pyspark/ml/param/__init__.py ---
@@ -65,6 +72,106 @@ def __eq__(self, other):
return False
+class
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Github user HyukjinKwon commented on the pull request:
https://github.com/apache/spark/pull/11806#issuecomment-198364410
@tomwitte Sorry for adding more comments but does that mean the default
value in Hadoop 1.x is BLOCK?
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Github user andrewor14 commented on the pull request:
https://github.com/apache/spark/pull/11770#issuecomment-197561885
Removing Shark docs part looks OK. The slightly controversial bit is making
`SparkEnv` private. People might depend on that. @rxin
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Github user iyounus commented on the pull request:
https://github.com/apache/spark/pull/11610#issuecomment-197468720
One problem with the eigen decomposition method is that for rank deficient
matrix some of the eigenvalues can be extremely small (instead of being zero)
and their
Github user liancheng commented on the pull request:
https://github.com/apache/spark/pull/11769#issuecomment-197512611
cc @rxin @marmbrus @yhuai
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Github user rxin commented on the pull request:
https://github.com/apache/spark/pull/11655#issuecomment-197485725
Thanks - merging in master.
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Github user rxin commented on the pull request:
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Also I'd say "by position", not "by index", since index usually refers to
something else in databases.
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https://github.com/apache/spark/pull/11764#issuecomment-197639904
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Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/11621#issuecomment-198026652
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Github user nchammas commented on the pull request:
https://github.com/apache/spark/pull/11178#issuecomment-197623653
For some reason, this PR breaks the following invocation:
```
./dev/make-distribution.sh -T 1C -Phadoop-2.6
```
The problem appears to be with
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