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---------- Forwarded message ----------
From: Krishna Sankar <ksanka...@gmail.com>
Date: Wed, Dec 10, 2014 at 9:16 PM
Subject: Re: [VOTE] Release Apache Spark 1.2.0 (RC2)
To: Matei Zaharia <matei.zaha...@gmail.com>

+1
Works same as RC1
1. Compiled OSX 10.10 (Yosemite) mvn -Pyarn -Phadoop-2.4
-Dhadoop.version=2.4.0 -DskipTests clean package 13:07 min
2. Tested pyspark, mlib - running as well as compare results with 1.1.x
2.1. statistics OK
2.2. Linear/Ridge/Laso Regression OK
       Slight difference in the print method (vs. 1.1.x) of the model
object - with a label & more details. This is good.
2.3. Decision Tree, Naive Bayes OK
       Changes in print(model) - now print (model.ToDebugString()) - OK
       Some changes in NaiveBayes. Different from my 1.1.x code - had to
flatten list structures, zip required same number in partitions
       After code changes ran fine.
2.4. KMeans OK
       Center And Scale OK
       zip occasionally fails with error "localhost):
org.apache.spark.SparkException: Can only zip RDDs with same number of
elements in each partition"
Has https://issues.apache.org/jira/browse/SPARK-2251 reappeared ?
Made it work by doing a different transformation ie reusing an original
rdd.
(Xiangrui, I will end you the iPython Notebook & the dataset by a separate
e-mail)
2.5. rdd operations OK
       State of the Union Texts - MapReduce, Filter,sortByKey (word count)
2.6. recommendation OK
2.7. Good work ! In 1.x.x, had a map distinct over the movielens medium
dataset which never worked. Works fine in 1.2.0 !
3. Scala Mlib - subset of examples as in #2 above, with Scala
3.1. statistics OK
3.2. Linear Regression OK
3.3. Decision Tree OK
3.4. KMeans OK
Cheers
<k/>

On Wed, Dec 10, 2014 at 3:05 PM, Matei Zaharia <matei.zaha...@gmail.com>
wrote:

> +1
>
> Tested on Mac OS X.
>
> Matei
>
> > On Dec 10, 2014, at 1:08 PM, Patrick Wendell <pwend...@gmail.com> wrote:
> >
> > Please vote on releasing the following candidate as Apache Spark version
> 1.2.0!
> >
> > The tag to be voted on is v1.2.0-rc2 (commit a428c446e2):
> >
> https://git-wip-us.apache.org/repos/asf?p=spark.git;a=commit;h=a428c446e23e628b746e0626cc02b7b3cadf588e
> >
> > The release files, including signatures, digests, etc. can be found at:
> > http://people.apache.org/~pwendell/spark-1.2.0-rc2/
> >
> > Release artifacts are signed with the following key:
> > https://people.apache.org/keys/committer/pwendell.asc
> >
> > The staging repository for this release can be found at:
> > https://repository.apache.org/content/repositories/orgapachespark-1055/
> >
> > The documentation corresponding to this release can be found at:
> > http://people.apache.org/~pwendell/spark-1.2.0-rc2-docs/
> >
> > Please vote on releasing this package as Apache Spark 1.2.0!
> >
> > The vote is open until Saturday, December 13, at 21:00 UTC and passes
> > if a majority of at least 3 +1 PMC votes are cast.
> >
> > [ ] +1 Release this package as Apache Spark 1.2.0
> > [ ] -1 Do not release this package because ...
> >
> > To learn more about Apache Spark, please see
> > http://spark.apache.org/
> >
> > == What justifies a -1 vote for this release? ==
> > This vote is happening relatively late into the QA period, so
> > -1 votes should only occur for significant regressions from
> > 1.0.2. Bugs already present in 1.1.X, minor
> > regressions, or bugs related to new features will not block this
> > release.
> >
> > == What default changes should I be aware of? ==
> > 1. The default value of "spark.shuffle.blockTransferService" has been
> > changed to "netty"
> > --> Old behavior can be restored by switching to "nio"
> >
> > 2. The default value of "spark.shuffle.manager" has been changed to
> "sort".
> > --> Old behavior can be restored by setting "spark.shuffle.manager" to
> "hash".
> >
> > == How does this differ from RC1 ==
> > This has fixes for a handful of issues identified - some of the
> > notable fixes are:
> >
> > [Core]
> > SPARK-4498: Standalone Master can fail to recognize completed/failed
> > applications
> >
> > [SQL]
> > SPARK-4552: Query for empty parquet table in spark sql hive get
> > IllegalArgumentException
> > SPARK-4753: Parquet2 does not prune based on OR filters on partition
> columns
> > SPARK-4761: With JDBC server, set Kryo as default serializer and
> > disable reference tracking
> > SPARK-4785: When called with arguments referring column fields, PMOD
> throws NPE
> >
> > - Patrick
> >
> > ---------------------------------------------------------------------
> > To unsubscribe, e-mail: dev-unsubscr...@spark.apache.org
> > For additional commands, e-mail: dev-h...@spark.apache.org
> >
>
>
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>

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