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QA results for PR 1901:- This patch FAILED unit tests.- This patch
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Github user mengxr commented on the pull request:
https://github.com/apache/spark/pull/1900#issuecomment-51882028
LGTM. Merged into both master and branch-1.1. Thanks!
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Github user asfgit closed the pull request at:
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Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/1897#discussion_r16099150
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/regression/GeneralizedLinearAlgorithm.scala
---
@@ -137,11 +154,45 @@ abstract class GeneralizedLinearAl
Github user SparkQA commented on the pull request:
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Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/1897#discussion_r16099170
--- Diff:
mllib/src/test/scala/org/apache/spark/mllib/classification/LogisticRegressionSuite.scala
---
@@ -185,6 +185,58 @@ class LogisticRegressionSuite exte
Github user mengxr commented on a diff in the pull request:
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--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/regression/GeneralizedLinearAlgorithm.scala
---
@@ -137,11 +154,45 @@ abstract class GeneralizedLinearAl
Github user liancheng commented on the pull request:
https://github.com/apache/spark/pull/1891#issuecomment-51883319
The build failure was caused by PySpark. (Let me try again...)
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Github user liancheng commented on the pull request:
https://github.com/apache/spark/pull/1891#issuecomment-51883335
test this please
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Github user SparkQA commented on the pull request:
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Github user pwendell commented on the pull request:
https://github.com/apache/spark/pull/1704#issuecomment-51884393
Hm - seems like it's either out of data again or it didn't get merged. If
you bring it up to date I _promise_ I'll merge it quickly (or I'll do a manual
resolution if ne
Github user SparkQA commented on the pull request:
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Github user sarutak commented on the pull request:
https://github.com/apache/spark/pull/1891#issuecomment-51885042
Thanks a lot for triggering test...
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Github user liyezhang556520 commented on a diff in the pull request:
https://github.com/apache/spark/pull/1165#discussion_r16100690
--- Diff: core/src/main/scala/org/apache/spark/storage/MemoryStore.scala ---
@@ -141,6 +193,93 @@ private class MemoryStore(blockManager: BlockManager,
Github user SparkQA commented on the pull request:
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GitHub user larryxiao opened a pull request:
https://github.com/apache/spark/pull/1903
[SPARK-2062][GraphX] VertexRDD.apply does not use the mergeFunc
create verticesDeduplicate with reduceByKey, using mergeFunc
then proceed with verticesDedup
But this is not tested and
Github user AmplabJenkins commented on the pull request:
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Github user GrahamDennis commented on the pull request:
https://github.com/apache/spark/pull/1890#issuecomment-51888165
I've updated my PR, and now instead of getting the Executor process to
download jars before registering itself with the application driver, the Worker
process downlo
Github user SparkQA commented on the pull request:
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GitHub user guowei2 opened a pull request:
https://github.com/apache/spark/pull/1904
[SPARK-2986] [SQL] fixed: setting properties does not effect
it seems that set command does not run by SparkSQLDriver. it runs on hive
api.
user can not change reduce number by setting spark.sql
Github user ScrapCodes commented on a diff in the pull request:
https://github.com/apache/spark/pull/1704#discussion_r16103132
--- Diff:
streaming/src/main/scala/org/apache/spark/streaming/StreamingContext.scala ---
@@ -98,9 +98,11 @@ class StreamingContext private[streaming] (
Github user AmplabJenkins commented on the pull request:
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Github user ScrapCodes commented on a diff in the pull request:
https://github.com/apache/spark/pull/1704#discussion_r16103171
--- Diff: project/MimaExcludes.scala ---
@@ -133,7 +136,10 @@ object MimaExcludes {
MimaBuild.excludeSparkClass("mllib.optimization.SquaredG
Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/1889#issuecomment-51891864
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Github user SparkQA commented on the pull request:
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Github user sarutak commented on the pull request:
https://github.com/apache/spark/pull/1891#issuecomment-51896285
Ah... It's strange. I think there are no test using SparkSQLCLIDriver right?
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Github user hunggpham commented on the pull request:
https://github.com/apache/spark/pull/1290#issuecomment-51898209
Yes i forked your repository and can see the codes now.One question:
I don't see backprop codes.Will that be added later? Thanks.
Sent from cell p
Github user SparkQA commented on the pull request:
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GitHub user ScrapCodes opened a pull request:
https://github.com/apache/spark/pull/1905
[SPARK-2987] - Adjust build system and tests to work with scala 2.11
This patch assumes that we are on akka 2.3.4. So it does not deal with
that.
You can merge this pull request into a Git repo
Github user SparkQA commented on the pull request:
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Github user SparkQA commented on the pull request:
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Github user yhuai commented on the pull request:
https://github.com/apache/spark/pull/1889#issuecomment-51918543
@ueshin If we are changing the default value of `ArrayType.containsNull` to
`true`, we may also need to add logic to set that value based on data sources.
In
https://githu
GitHub user witgo reopened a pull request:
https://github.com/apache/spark/pull/1031
[WIP][SPARK-1720]use LD_LIBRARY_PATH instead of -Djava.library.path
- [ ] Standalone
- [ ] Mesos
- [ ] YARN
- [ ] Amazon EC2
You can merge this pull request into a Git repository by r
Github user SparkQA commented on the pull request:
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Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/1031#issuecomment-51921344
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Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/1031#issuecomment-51923013
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https://github.com/apache/spark/pull/1031#issuecomment-51931255
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GitHub user copester opened a pull request:
https://github.com/apache/spark/pull/1906
[SPARK-1766] sorted functions to meet pedantic requirements
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/ResilientScience/spark master
Alte
Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/1906#issuecomment-51932732
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Github user witgo commented on a diff in the pull request:
https://github.com/apache/spark/pull/1906#discussion_r16121764
--- Diff:
yarn/stable/src/main/scala/org/apache/spark/deploy/yarn/Client.scala ---
@@ -113,11 +113,12 @@ class Client(clientArgs: ClientArguments, hadoopConf:
Github user tmalaska commented on the pull request:
https://github.com/apache/spark/pull/1893#issuecomment-51936244
+1
I'm all for the update to 0.98 HBase.
Just make sure we address everything that Sean O is asking. We need this
to be able to build with Hadoop1 or Hadoop
Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/1905#issuecomment-5193
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Github user avati commented on the pull request:
https://github.com/apache/spark/pull/1704#issuecomment-51942842
Had conflict with recent merge of 9038d9. Addressed other code comments as
well.
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Github user JoshRosen commented on the pull request:
https://github.com/apache/spark/pull/1031#issuecomment-51944309
Does this work cross-platform? I think OSX uses `DYLD_LIBRARY_PATH`, and
Windows probably uses something else.
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Github user marmbrus commented on the pull request:
https://github.com/apache/spark/pull/1889#issuecomment-51944634
It would be great to get this change in for 1.1 since its kinda of an API
change. However, for now I'm okay if trying to store nulls into parquet arrays
throws exception
Github user markhamstra commented on the pull request:
https://github.com/apache/spark/pull/1031#issuecomment-51945400
It's definitely not cross-platform.
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Github user witgo commented on the pull request:
https://github.com/apache/spark/pull/1031#issuecomment-51946148
Yes,I only took into account the linux and windows.
Yarn only distinguish windows and non-windows at
[ApplicationConstants.java#L210](
https://github.com/apache/had
Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/1905#issuecomment-51948261
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Github user vidaha commented on the pull request:
https://github.com/apache/spark/pull/1899#issuecomment-51949860
Hi Josh,
IMHO, it's best not to require a Spark cluster name and the security group
to be the same. While you can reuse an existing security group to launch
anot
Github user JoshRosen commented on the pull request:
https://github.com/apache/spark/pull/1899#issuecomment-51953660
After a closer look, it looks like the existing `spark-ec2` already names
instances after `cluster_name`, so it's safe and backwards-compatible to use
that to identify
Github user JoshRosen commented on the pull request:
https://github.com/apache/spark/pull/1899#issuecomment-51954787
Jenkins, this is ok to test. Test this please.
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Github user JoshRosen commented on the pull request:
https://github.com/apache/spark/pull/134#issuecomment-51955535
This PR is a pretty neat idea; it would be great to get more testing of the
Spark EC2 scripts, especially as we add new features (like #1899). Does anyone
want to adopt
GitHub user rxin opened a pull request:
https://github.com/apache/spark/pull/1907
[WIP] [SPARK-2468] Netty based block server / client module
This is a rough draft, but it can't be much worse than the old Netty module
since the old one didn't really work :)
Compared with th
Github user SparkQA commented on the pull request:
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https://github.com/apache/spark/pull/1907#issuecomment-51956457
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Github user SparkQA commented on the pull request:
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Github user shivaram commented on the pull request:
https://github.com/apache/spark/pull/1907#issuecomment-51957070
@rxin Very nice ! Do you have any benchmarks of how fast things are ? In
terms of say % of network bandwidth we can use ?
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Github user rxin commented on a diff in the pull request:
https://github.com/apache/spark/pull/1907#discussion_r16132782
--- Diff: core/src/main/scala/org/apache/spark/network/netty/server.scala
---
@@ -0,0 +1,290 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF)
Github user rxin commented on the pull request:
https://github.com/apache/spark/pull/1907#issuecomment-51957233
That's part of the TODO :)
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Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/1907#issuecomment-51957274
QA results for PR 1907:- This patch FAILED unit tests.- This patch
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Github user SparkQA commented on the pull request:
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Github user dcapwell commented on a diff in the pull request:
https://github.com/apache/spark/pull/1907#discussion_r16133840
--- Diff:
core/src/main/scala/org/apache/spark/network/netty/ReferenceCountedBuffer.scala
---
@@ -17,15 +17,25 @@
package org.apache.spark.networ
Github user coderplay commented on a diff in the pull request:
https://github.com/apache/spark/pull/1907#discussion_r16134006
--- Diff: core/src/main/scala/org/apache/spark/network/netty/server.scala
---
@@ -0,0 +1,290 @@
+/*
+ * Licensed to the Apache Software Foundation (
Github user dcapwell commented on a diff in the pull request:
https://github.com/apache/spark/pull/1907#discussion_r16134103
--- Diff: core/src/main/scala/org/apache/spark/network/netty/client.scala
---
@@ -0,0 +1,276 @@
+/*
+ * Licensed to the Apache Software Foundation (A
Github user markhamstra commented on the pull request:
https://github.com/apache/spark/pull/1360#issuecomment-51959659
@pwendell Still should go into 1.1.0... The change is fairly small, and
the unpatched behavior is pretty nasty for long-running applications.
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Github user coderplay commented on a diff in the pull request:
https://github.com/apache/spark/pull/1907#discussion_r16134163
--- Diff: core/src/main/scala/org/apache/spark/network/netty/server.scala
---
@@ -0,0 +1,290 @@
+/*
+ * Licensed to the Apache Software Foundation (
GitHub user atalwalkar opened a pull request:
https://github.com/apache/spark/pull/1908
SPARK-2830
As per discussions with Xiangrui, I've reorganized and edited the mllib
documentation.
You can merge this pull request into a Git repository by running:
$ git pull https://github
Github user SparkQA commented on the pull request:
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Github user coderplay commented on a diff in the pull request:
https://github.com/apache/spark/pull/1907#discussion_r16134481
--- Diff: core/src/main/scala/org/apache/spark/network/netty/server.scala
---
@@ -0,0 +1,290 @@
+/*
+ * Licensed to the Apache Software Foundation (
Github user coderplay commented on a diff in the pull request:
https://github.com/apache/spark/pull/1907#discussion_r16134600
--- Diff: core/src/main/scala/org/apache/spark/network/netty/server.scala
---
@@ -0,0 +1,290 @@
+/*
+ * Licensed to the Apache Software Foundation (
Github user rxin commented on a diff in the pull request:
https://github.com/apache/spark/pull/1907#discussion_r16134921
--- Diff:
core/src/main/scala/org/apache/spark/storage/BlockFetcherIterator.scala ---
@@ -262,77 +271,49 @@ object BlockFetcherIterator {
readMetrics:
Github user mengxr commented on the pull request:
https://github.com/apache/spark/pull/1908#issuecomment-51961773
@atalwalkar Could you add `[MLLIB] re-organize mllib documentation` to the
title?
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Github user markhamstra commented on the pull request:
https://github.com/apache/spark/pull/1908#issuecomment-51962565
nit: That's not really an adequate title for this PR, Ameet. It should
include enough description so that we can tell what it is about in the
corresponding subject o
Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/1863#issuecomment-51962859
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https://github.com/apache/spark/pull/1907#discussion_r16135674
--- Diff: core/src/main/scala/org/apache/spark/network/netty/client.scala
---
@@ -0,0 +1,276 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF)
Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/1883#issuecomment-51962881
QA tests have started for PR 1883. This patch DID NOT merge cleanly!
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Github user JoshRosen commented on the pull request:
https://github.com/apache/spark/pull/1295#issuecomment-51962886
It would be great to mention this option in the MLlib documentation.
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GitHub user erikerlandson opened a pull request:
https://github.com/apache/spark/pull/1909
[SPARK-2991] Implement RDD lazy transforms for scanLeft and scan
Discussion of implementations:
http://erikerlandson.github.io/blog/2014/08/09/implementing-an-rdd-scanleft-transform-with-c
Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/1899#issuecomment-51963248
QA results for PR 1899:- This patch PASSES unit tests.- This patch
merges cleanly- This patch adds no public classesFor more
information see test
ouptut:https://amplab.c
Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/1909#issuecomment-51963308
Can one of the admins verify this patch?
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Github user marmbrus commented on the pull request:
https://github.com/apache/spark/pull/1904#issuecomment-51963827
Why do you want use hive code for configuration? We have our own
configuration that already mirrors into HiveConf.
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Github user vanzin commented on the pull request:
https://github.com/apache/spark/pull/1813#issuecomment-51964431
Updated to remove forked code. I'm not too proud of the code to package
things in the sbt build, but it's how I got things to work without having to
expose Guava in the "c
Github user vanzin commented on the pull request:
https://github.com/apache/spark/pull/1813#issuecomment-51964451
Jenkins, retest this please.
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Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/1813#issuecomment-51964832
QA tests have started for PR 1813. This patch merges cleanly. View
progress:
https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/18386/consoleFull
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Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/1899#issuecomment-51965003
QA results for PR 1899:- This patch PASSES unit tests.- This patch
merges cleanly- This patch adds no public classesFor more
information see test
ouptut:https://amplab.c
Github user markhamstra commented on the pull request:
https://github.com/apache/spark/pull/1909#issuecomment-51965072
Erik, you've been doing some great work on making non-lazy transforms lazy!
I haven't had time to thoroughly review your recent PRs, but can you do some
checks and p
Github user erikerlandson commented on the pull request:
https://github.com/apache/spark/pull/1909#issuecomment-51965848
Good point, I will look into those.
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