Github user MLnick commented on the pull request:
https://github.com/apache/spark/pull/10607#issuecomment-196690249
@sethah given it's a copy of MLLIb impl, and given test passes and the
smaller spark-perf tests, I'm comfortable moving ahead. We should still run the
larger scale tests
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test it please
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I'll create new JIRA on params overriding.
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Github user rxin commented on the pull request:
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Thanks - going to merge this.
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Github user cloud-fan commented on the pull request:
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Hi @retronym , your idea looks good, but in our situation, we only have a
class name string and it's not that easy to get the line object. BTW the REPL
classes are lo
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Jenkins, retest this please.
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Github user rxin commented on the pull request:
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I've merged this in branch-1.6.
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(You'd need to close this)
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@cloud-fan the logic looks good to me.
I left some comments -- try make this understandable (by adding more
comments or renaming some functions) for people that h
Github user rxin commented on a diff in the pull request:
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--- Diff:
sql/hive/src/main/scala/org/apache/spark/sql/hive/SQLBuilder.scala ---
@@ -229,6 +224,30 @@ class SQLBuilder(logicalPlan: LogicalPlan, sqlContext:
SQ
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--- Diff:
sql/hive/src/main/scala/org/apache/spark/sql/hive/SQLBuilder.scala ---
@@ -354,59 +425,54 @@ class SQLBuilder(logicalPlan: LogicalPlan,
sqlContext: S
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--- Diff:
sql/hive/src/main/scala/org/apache/spark/sql/hive/SQLBuilder.scala ---
@@ -274,17 +293,25 @@ class SQLBuilder(logicalPlan: LogicalPlan,
sqlContext: S
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--- Diff:
sql/hive/src/main/scala/org/apache/spark/sql/hive/SQLBuilder.scala ---
@@ -316,31 +345,73 @@ class SQLBuilder(logicalPlan: LogicalPlan,
sqlContext: S
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@@ -354,59 +425,54 @@ class SQLBuilder(logicalPlan: LogicalPlan,
sqlContext: S
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--- Diff: project/MimaExcludes.scala ---
@@ -319,6 +319,68 @@ object MimaExcludes {
ProblemFilters.exclude[IncompatibleResultTypeProblem]("org
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--- Diff:
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---
@@ -98,7 +107,8 @@ abstract class RuleExecutor[TreeType <: Tre
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[SPARK-13892][SQL] remove useless lateral view handling
## What changes were proposed in this pull request?
`LATERAL VIEW` is part of the relation, and we already handled it when
convert
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cc @hvanhovell @rxin
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@@ -98,7 +107,8 @@ abstract class RuleExecutor[TreeType <:
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--- Diff: project/MimaExcludes.scala ---
@@ -319,6 +319,68 @@ object MimaExcludes {
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Merging in master. Thanks.
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Merging in master. Thanks.
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--- Diff:
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@@ -29,6 +29,7 @@ import org.apache.spark.sq
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LGTM
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GitHub user gatorsmile opened a pull request:
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[SPARK-13891] [SQL] [TEST] Issue Exceptions when Hitting the Max Iteration
Limit in Optimizer and Analyzer
What changes were proposed in this pull request?
This PR is to issue an e
Github user retronym commented on the pull request:
https://github.com/apache/spark/pull/11410#issuecomment-196676313
Since offering review, I've found a more direct way to get to the object.
```
Welcome to Scala 2.11.8 (Java HotSpot(TM) 64-Bit Server VM, Java 1.8.0_71).
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I'll add follow-up JIRA for nested pipeline support.
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@jkbradley Ready for another look.
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Github user GayathriMurali commented on the pull request:
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@jkbradley Fixed all the minor issues and changed title. Will wait for the
tests to complete
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--- Diff: mllib/src/main/scala/org/apache/spark/ml/clustering/KMeans.scala
---
@@ -258,6 +290,27 @@ class KMeans @Since("1.5.0") (
@Since("1.5.0")
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Github user jkbradley commented on the pull request:
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It looks like [https://github.com/apache/spark/pull/11707] is closer to
being merged now, so let's go with it instead. @wangmiao1981 Could you please
close this PR?
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Merging in master. Thanks.
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--- Diff: sql/hive/pom.xml ---
@@ -38,6 +38,11 @@
+org.scala-lang
--- End diff --
Please revert the change
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Also, to "fix the title," you'll need to put square brackets around the
JIRA: "[SPARK-13034]" and probably remove the colon ":"
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Thanks both for collaborating!
@wangmiao1981 If you want to get rid of the commits merged from master,
then you can do ```git rebase upstream/master```. Feel
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ok!!
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Very cool, thanks! I'll check it out.
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GitHub user carsonwang opened a pull request:
https://github.com/apache/spark/pull/11713
[SPARK-13889][YARN] Fix integer overflow when calculating the max number of
executor failure
## What changes were proposed in this pull request?
The max number of executor failure before fai
Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/11712#issuecomment-196664932
**[Test build #53161 has
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for PR 11712 at commit
[`31fc6cd`](https://gi
Github user rxin commented on the pull request:
https://github.com/apache/spark/pull/11712#issuecomment-196664585
This is based on https://github.com/apache/spark/pull/11710
For the actual diff, just look at the last commit.
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Github user rxin commented on the pull request:
https://github.com/apache/spark/pull/11712#issuecomment-196664605
cc @cloud-fan
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GitHub user rxin opened a pull request:
https://github.com/apache/spark/pull/11712
[SPARK-13890][SQL] Remove some internal classes' dependency on SQLContext
## What changes were proposed in this pull request?
In general it is better for internal classes to not depend on the exter
Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/11711#issuecomment-196664179
**[Test build #53160 has
started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/53160/consoleFull)**
for PR 11711 at commit
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Github user jkbradley commented on the pull request:
https://github.com/apache/spark/pull/10242#issuecomment-196663574
Great, thanks!
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Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/9#discussion_r56115607
--- Diff: mllib/src/main/scala/org/apache/spark/ml/clustering/KMeans.scala
---
@@ -258,6 +290,27 @@ class KMeans @Since("1.5.0") (
@Since("1.5.0")
GitHub user zsxwing opened a pull request:
https://github.com/apache/spark/pull/11711
[SPARK-13888][DOC]Remove Akka Receiver doc and refer to the DStream Akka
project
## What changes were proposed in this pull request?
I have copied the docs of Streaming Akka to
https://gi
Github user dbtsai commented on the pull request:
https://github.com/apache/spark/pull/11610#issuecomment-196662210
I will vote for approach 1.
SVD will be the most stable algorithm, but slowest O(mn^2 + n^3) compared
with Cholesky O(mn^2) or QR O(mn^2 - n^3/3) decomposition.
Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/11297#issuecomment-196660958
Merged build finished. Test PASSed.
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