This vote is cancelled in favor of RC4.

Thanks everyone for the thorough testing of this RC. We are really
close, but there were a few blockers found. I've cut a new RC to
incorporate those issues.

The following patches were merged during the RC3 testing period:

(blockers)
4940630 [SPARK-8020] [SQL] Spark SQL conf in spark-defaults.conf make
metadataHive get constructed too early
6b0f615 [SPARK-8038] [SQL] [PYSPARK] fix Column.when() and otherwise()
78a6723 [SPARK-7978] [SQL] [PYSPARK] DecimalType should not be singleton

(other fixes)
9d6475b [SPARK-6917] [SQL] DecimalType is not read back when
non-native type exists
97d4cd0 [SPARK-8049] [MLLIB] drop tmp col from OneVsRest output
cbaf595 [SPARK-8014] [SQL] Avoid premature metadata discovery when
writing a HadoopFsRelation with a save mode other than Append
fa292dc [SPARK-8015] [FLUME] Remove Guava dependency from flume-sink.
f71a09d [SPARK-8037] [SQL] Ignores files whose name starts with dot in
HadoopFsRelation
292ee1a [SPARK-8021] [SQL] [PYSPARK] make Python read/write API
consistent with Scala
87941ff [SPARK-8023][SQL] Add "deterministic" attribute to Expression
to avoid collapsing nondeterministic projects.
e6d5895 [SPARK-7965] [SPARK-7972] [SQL] Handle expressions containing
multiple window expressions and make parser match window frames in
case insensitive way
8ac2376 [SPARK-8026][SQL] Add Column.alias to Scala/Java DataFrame API
efc0e05 [SPARK-7982][SQL] DataFrame.stat.crosstab should use 0 instead
of null for pairs that don't appear
cbfb682a [SPARK-8028] [SPARKR] Use addJar instead of setJars in SparkR
a7c8b00 [SPARK-7958] [STREAMING] Handled exception in
StreamingContext.start() to prevent leaking of actors
a76c2e1 [SPARK-7899] [PYSPARK] Fix Python 3 pyspark/sql/types module conflict
f1d4e7e [SPARK-7227] [SPARKR] Support fillna / dropna in R DataFrame.
01f38f7 [SPARK-7979] Enforce structural type checker.
2c45009 [SPARK-7459] [MLLIB] ElementwiseProduct Java example
8938a74 [SPARK-7962] [MESOS] Fix master url parsing in rest submission client.
1513cff [SPARK-7957] Preserve partitioning when using randomSplit
9a88be1 [SPARK-6013] [ML] Add more Python ML examples for spark.ml
2bd4460 [SPARK-7954] [SPARKR] Create SparkContext in sparkRSQL init

On Fri, May 29, 2015 at 4:40 PM, Patrick Wendell <pwend...@gmail.com> wrote:
> Please vote on releasing the following candidate as Apache Spark version 
> 1.4.0!
>
> The tag to be voted on is v1.4.0-rc3 (commit dd109a8):
> https://git-wip-us.apache.org/repos/asf?p=spark.git;a=commit;h=dd109a8746ec07c7c83995890fc2c0cd7a693730
>
> The release files, including signatures, digests, etc. can be found at:
> http://people.apache.org/~pwendell/spark-releases/spark-1.4.0-rc3-bin/
>
> 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:
> [published as version: 1.4.0]
> https://repository.apache.org/content/repositories/orgapachespark-1109/
> [published as version: 1.4.0-rc3]
> https://repository.apache.org/content/repositories/orgapachespark-1110/
>
> The documentation corresponding to this release can be found at:
> http://people.apache.org/~pwendell/spark-releases/spark-1.4.0-rc3-docs/
>
> Please vote on releasing this package as Apache Spark 1.4.0!
>
> The vote is open until Tuesday, June 02, at 00:32 UTC and passes
> if a majority of at least 3 +1 PMC votes are cast.
>
> [ ] +1 Release this package as Apache Spark 1.4.0
> [ ] -1 Do not release this package because ...
>
> To learn more about Apache Spark, please see
> http://spark.apache.org/
>
> == What has changed since RC1 ==
> Below is a list of bug fixes that went into this RC:
> http://s.apache.org/vN
>
> == How can I help test this release? ==
> If you are a Spark user, you can help us test this release by
> taking a Spark 1.3 workload and running on this release candidate,
> then reporting any regressions.
>
> == What justifies a -1 vote for this release? ==
> This vote is happening towards the end of the 1.4 QA period,
> so -1 votes should only occur for significant regressions from 1.3.1.
> Bugs already present in 1.3.X, minor regressions, or bugs related
> to new features will not block this release.

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