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Elastic
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--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/clustering/DpMeansModel.scala ---
@@ -0,0 +1,149 @@
+/*
+ * Licensed to the Apache Software
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Github user harishreedharan commented on the pull request:
https://github.com/apache/spark/pull/7008#issuecomment-115137638
You don't really need to reload the principal, but that is not a big deal.
This LGTM.
We probably should document that these parameters will not
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Github user SaintBacchus commented on the pull request:
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@harishreedharan You are right, the principal is all the same.
I considerred them as couple configurations, so I added it into the
list.:smile:
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GitHub user yanboliang opened a pull request:
https://github.com/apache/spark/pull/7011
[Minor] [MLLib] rename some functions of PythonMLLibAPI
Keep the same naming conventions for PythonMLLibAPI.
Only the following three function is different from others
```scala
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GitHub user prakashpc opened a pull request:
https://github.com/apache/spark/pull/7012
[SPARK-8603] [sparkR] In windows, Incorrect file seperator passed to Java
and Scripts from R
[SPARK-8603] [sparkR] In windows, Incorrect file seperator passed to Java
and Scripts from R
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Github user sujkh85 commented on a diff in the pull request:
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--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/clustering/DpMeansModel.scala ---
@@ -0,0 +1,149 @@
+/*
+ * Licensed to the Apache Software
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[SPARK-4352][YARN][WIP]
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Github user samos123 commented on the pull request:
https://github.com/apache/spark/pull/6979#issuecomment-115149642
Sure was just meant to express what kind of functionality I wanted.
Closing..
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Github user jerryshao commented on the pull request:
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Jenkins, retest this please.
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Can one of the admins verify this patch?
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GitHub user vanzin opened a pull request:
https://github.com/apache/spark/pull/7026
[SPARK-8066, SPARK-8067] [hive] Add support for Hive 1.0, 1.1 and 1.2.
Allow HiveContext to connect to metastores of those versions; some new shims
had to be added to account for changing
Github user squito commented on the pull request:
https://github.com/apache/spark/pull/6973#issuecomment-115370523
hmm, now I am a little confused -- that test actually passes even without
your changes. Sorry this may have been my fault for suggesting a test in
`SparkContextSuite`
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Github user squito commented on a diff in the pull request:
https://github.com/apache/spark/pull/6973#discussion_r33295521
--- Diff: core/src/main/scala/org/apache/spark/SparkEnv.scala ---
@@ -90,39 +92,47 @@ class SparkEnv (
private var driverTmpDirToDelete: Option[String]
Github user vanzin commented on the pull request:
https://github.com/apache/spark/pull/6973#issuecomment-115371870
None of the changes here are in `SparkContext`; the PR title is misleading,
since you're changing `SparkEnv`. What code path would cause `SparkEnv.stop()`
to be called
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Github user paberline commented on the pull request:
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I've received a suggestion this PR could be improved by using np.save(z) to
serialize the data and also preserve metadata about the NumPy array. I'm going
to
Github user JDrit commented on the pull request:
https://github.com/apache/spark/pull/7004#issuecomment-115393908
I wrote some benchmarking code for
[this](https://github.com/JDrit/avro_tests/tree/master) and the results are
recorded
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Github user rekhajoshm commented on the pull request:
https://github.com/apache/spark/pull/6973#issuecomment-115518782
thanks @vanzin for your comments.Updated the title.Other than SparkContext,
SparkEnv stop can be invoked from Scheduler, or if Driver commanded a shutdown,
Executor
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Github user aarondav commented on the pull request:
https://github.com/apache/spark/pull/7028#issuecomment-115526307
I've updated the code to move the injection to runJob. This means that
exceptions thrown from any path inside the DAGScheduler that fail the job will
now have their
Github user davies commented on a diff in the pull request:
https://github.com/apache/spark/pull/7018#discussion_r33329879
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/CatalystTypeConverters.scala
---
@@ -363,6 +373,19 @@ object CatalystTypeConverters {
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https://github.com/apache/spark/pull/7018#discussion_r0034
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/CatalystTypeConverters.scala
---
@@ -363,6 +373,19 @@ object CatalystTypeConverters {
Github user asfgit closed the pull request at:
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Github user davies commented on the pull request:
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merged this into master, thanks!
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Github user davies commented on the pull request:
https://github.com/apache/spark/pull/7013#issuecomment-115530196
LGTM
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Github user ScrapCodes commented on the pull request:
https://github.com/apache/spark/pull/6832#issuecomment-115530179
@srowen Did you get a chance to try the above out ? did it work ?
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Github user cloud-fan commented on the pull request:
https://github.com/apache/spark/pull/6145#issuecomment-115511092
Found a test case for you...
https://issues.apache.org/jira/browse/SPARK-8588
And we should merge this fix into branch 1.4. cc @marmbrus @liancheng
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Github user asfgit closed the pull request at:
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Github user davies commented on a diff in the pull request:
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--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/codegen/CodeGenerator.scala
---
@@ -72,98 +80,94 @@ class CodeGenContext {
Github user davies commented on the pull request:
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LGTM, merging this into master, thanks!
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Github user asfgit closed the pull request at:
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Github user davies commented on the pull request:
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LGTM, only one minor comment.
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Github user davies commented on the pull request:
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ok to test
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ok to test
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Github user Lewuathe commented on the pull request:
https://github.com/apache/spark/pull/3636#issuecomment-115528883
@jkbradley I fixed unit tests. Could you check it, please? Thank you.
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Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/7013#issuecomment-115530226
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Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/7005#issuecomment-115530374
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Github user feynmanliang commented on the pull request:
https://github.com/apache/spark/pull/7005#issuecomment-115530404
@mengxr Done, although it feels hacky.
* Is it okay to Scala `ClassTag` for initializing `FPGrowthModel` in Java
(see
Github user MechCoder commented on a diff in the pull request:
https://github.com/apache/spark/pull/6948#discussion_r0342
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/clustering/LDAModel.scala ---
@@ -184,6 +199,82 @@ class LocalLDAModel private[clustering] (
Github user yhuai commented on a diff in the pull request:
https://github.com/apache/spark/pull/7027#discussion_r0365
--- Diff:
core/src/test/scala/org/apache/spark/deploy/SparkSubmitSuite.scala ---
@@ -548,6 +548,7 @@ object JarCreationTest extends Logging {
if
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