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--- Diff:
sql/core/src/test/scala/org/apache/spark/sql/execution/ui/SQLListenerSuite.scala
---
@@ -343,6 +343,8 @@ class SQLListenerMemoryLeakSuite extend
Github user rxin commented on the pull request:
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Thanks - merging this in.
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LGTM - going to merge it.
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LGTM - going to merge it. Thanks.
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--- Diff:
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I'm going to merge this.
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cc @nongli
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Thanks for fixing it. I'm going to merge this.
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LGTM
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PySpark cannot use it for now, maybe in v1.7
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Github user zjffdu commented on the pull request:
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@liancheng sorry for late response, will try to make a new commit this
weekend
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--- Diff: mllib/src/main/scala/org/apache/spark/mllib/feature/IDF.scala ---
@@ -218,7 +218,7 @@ private object IDFModel {
newValues(k) = valu
Github user CodingCat commented on the pull request:
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Leave a mark here, there is something wrong with a particular test case
causing the above failures, more details:
https://issues.apache.org/jira/browse/SPARK-12021?j
Github user karlhigley commented on a diff in the pull request:
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--- Diff: mllib/src/main/scala/org/apache/spark/mllib/feature/IDF.scala ---
@@ -211,14 +213,16 @@ private object IDFModel {
val n = v.size
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@jkbradley could you review it?
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weird, something magical happened after Nov 23th
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Github user sun-rui commented on a diff in the pull request:
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--- Diff: R/pkg/R/DataFrame.R ---
@@ -700,25 +700,28 @@ setMethod("collect",
# data of complex type can be held. But getting a cell
from
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LGTM
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--- Diff:
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@@ -606,9 +606,17 @@ abstract class HadoopFsRelation private[sql](
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--- Diff: data/mllib/sample_bisecting_kmeans_data.txt ---
@@ -0,0 +1,20 @@
+6.4,2.7,5.3,1.9
--- End diff --
Yes, we can. The reason why I adde
Github user winningsix commented on the pull request:
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retest this please.
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looks good.
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--- Diff: R/pkg/R/DataFrame.R ---
@@ -700,25 +700,28 @@ setMethod("collect",
# data of complex type can be held. But getting a cell
f
Github user yu-iskw commented on the pull request:
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All right. I'll fix it.
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@@ -606,9 +606,17 @@ abstract class HadoopFsRelation private[sql](
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LGTM
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--- Diff: mllib/src/main/scala/org/apache/spark/mllib/feature/IDF.scala ---
@@ -211,14 +213,16 @@ private object IDFModel {
val n = v.size
v m
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--- Diff:
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@@ -606,9 +606,17 @@ abstract class HadoopFsRelation private[sql](
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@yhuai Yeah.. this function discoverPartitions() was changed recently
(10/22/2015) as part of spark-9735.
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@zsxwing @srowen I changed this to use setActive()/getActiveContext(),
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Github user yhuai commented on the pull request:
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@dilipbiswal I guess I did not ask my question clearly. I meant why 1.5 is
good but 1.6 is broken. There must be a change that exposed this issue.
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GitHub user yhuai opened a pull request:
https://github.com/apache/spark/pull/10010
[SPARK-12020] [TESTS] [test-hadoop2.0] PR builder cannot trigger hadoop 2.0
test
https://issues.apache.org/jira/browse/SPARK-12020
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Looks like there is a typo at
https://github.com/apache/spark/blob/master/dev/run-tests-jenkins.py#L167-L170
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hmm... not sure why
https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/46778/consoleFull
used hadoop 2.3 profile.
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--- Diff:
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@@ -606,9 +606,17 @@ abstract class HadoopFsRelation private[sql](
Github user yhuai commented on the pull request:
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OK. I am merging this to master and branch 1.6. I will watch the builds and
see if there is any new issues.
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Github user zsxwing commented on the pull request:
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> Test build #46776 has finished for PR 9976 at commit d626bfc.
>
> This patch fails from timeout after a configured wait of `250m`.
> This patch merges clean
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retest this please
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--- Diff: mllib/src/main/scala/org/apache/spark/mllib/feature/IDF.scala ---
@@ -218,7 +218,7 @@ private object IDFModel {
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Github user dbtsai commented on a diff in the pull request:
https://github.com/apache/spark/pull/9843#discussion_r46010330
--- Diff: mllib/src/main/scala/org/apache/spark/mllib/feature/IDF.scala ---
@@ -218,7 +218,7 @@ private object IDFModel {
newValues(k) = values(k
Github user karlhigley commented on the pull request:
https://github.com/apache/spark/pull/9843#issuecomment-160004428
Updated to use an `ArrayBuffer` instead of `toSparse` to omit explicit
zeros in returned SparseVectors.
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Github user CodingCat commented on the pull request:
https://github.com/apache/spark/pull/8610#issuecomment-160004437
Jenkins, retest this please
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Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/9397#issuecomment-160004312
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Github user dilipbiswal commented on the pull request:
https://github.com/apache/spark/pull/9961#issuecomment-160002951
@marmbrus @cloud-fan Thank you !!
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Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/10009#issuecomment-160001731
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Github user gatorsmile commented on the pull request:
https://github.com/apache/spark/pull/1#issuecomment-160001389
Streaming DataFrames? I think this is a very significant feature!
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Github user srowen commented on the pull request:
https://github.com/apache/spark/pull/10008#issuecomment-160001253
Trivial, but OK
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Github user viirya commented on a diff in the pull request:
https://github.com/apache/spark/pull/10009#discussion_r46009403
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/Expression.scala
---
@@ -95,12 +95,15 @@ abstract class Expression extends Tr
Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/8610#issuecomment-160001142
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Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/8610#issuecomment-160001166
Merged build finished. Test FAILed.
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