You can find that by changing the filter to target version = 2.0.0. Cheers.

On Wed, May 18, 2016 at 9:00 AM, Ovidiu-Cristian MARCU <
ovidiu-cristian.ma...@inria.fr> wrote:

> +1 Great, I see the list of resolved issues, do you have a list of known
> issue you plan to stay with this release?
>
> with
> build/mvn -Pyarn -Phadoop-2.6 -Dhadoop.version=2.7.1 -Phive
> -Phive-thriftserver -DskipTests clean package
>
> mvn -version
> Apache Maven 3.3.9 (bb52d8502b132ec0a5a3f4c09453c07478323dc5;
> 2015-11-10T17:41:47+01:00)
> Maven home: /Users/omarcu/tools/apache-maven-3.3.9
> Java version: 1.7.0_80, vendor: Oracle Corporation
> Java home:
> /Library/Java/JavaVirtualMachines/jdk1.7.0_80.jdk/Contents/Home/jre
> Default locale: en_US, platform encoding: UTF-8
> OS name: "mac os x", version: "10.11.5", arch: "x86_64", family: “mac"
>
> [INFO] Reactor Summary:
> [INFO]
> [INFO] Spark Project Parent POM ........................... SUCCESS [
> 2.635 s]
> [INFO] Spark Project Tags ................................. SUCCESS [
> 1.896 s]
> [INFO] Spark Project Sketch ............................... SUCCESS [
> 2.560 s]
> [INFO] Spark Project Networking ........................... SUCCESS [
> 6.533 s]
> [INFO] Spark Project Shuffle Streaming Service ............ SUCCESS [
> 4.176 s]
> [INFO] Spark Project Unsafe ............................... SUCCESS [
> 4.809 s]
> [INFO] Spark Project Launcher ............................. SUCCESS [
> 6.242 s]
> [INFO] Spark Project Core ................................. SUCCESS [01:20
> min]
> [INFO] Spark Project GraphX ............................... SUCCESS [
> 9.148 s]
> [INFO] Spark Project Streaming ............................ SUCCESS [
> 22.760 s]
> [INFO] Spark Project Catalyst ............................. SUCCESS [
> 50.783 s]
> [INFO] Spark Project SQL .................................. SUCCESS [01:05
> min]
> [INFO] Spark Project ML Local Library ..................... SUCCESS [
> 4.281 s]
> [INFO] Spark Project ML Library ........................... SUCCESS [
> 54.537 s]
> [INFO] Spark Project Tools ................................ SUCCESS [
> 0.747 s]
> [INFO] Spark Project Hive ................................. SUCCESS [
> 33.032 s]
> [INFO] Spark Project HiveContext Compatibility ............ SUCCESS [
> 3.198 s]
> [INFO] Spark Project REPL ................................. SUCCESS [
> 3.573 s]
> [INFO] Spark Project YARN Shuffle Service ................. SUCCESS [
> 4.617 s]
> [INFO] Spark Project YARN ................................. SUCCESS [
> 7.321 s]
> [INFO] Spark Project Hive Thrift Server ................... SUCCESS [
> 16.496 s]
> [INFO] Spark Project Assembly ............................. SUCCESS [
> 2.300 s]
> [INFO] Spark Project External Flume Sink .................. SUCCESS [
> 4.219 s]
> [INFO] Spark Project External Flume ....................... SUCCESS [
> 6.987 s]
> [INFO] Spark Project External Flume Assembly .............. SUCCESS [
> 1.465 s]
> [INFO] Spark Integration for Kafka 0.8 .................... SUCCESS [
> 6.891 s]
> [INFO] Spark Project Examples ............................. SUCCESS [
> 13.465 s]
> [INFO] Spark Project External Kafka Assembly .............. SUCCESS [
> 2.815 s]
> [INFO]
> ------------------------------------------------------------------------
> [INFO] BUILD SUCCESS
> [INFO]
> ------------------------------------------------------------------------
> [INFO] Total time: 07:04 min
> [INFO] Finished at: 2016-05-18T17:55:33+02:00
> [INFO] Final Memory: 90M/824M
> [INFO]
> ------------------------------------------------------------------------
>
> On 18 May 2016, at 16:28, Sean Owen <so...@cloudera.com> wrote:
>
> I think it's a good idea. Although releases have been preceded before
> by release candidates for developers, it would be good to get a formal
> preview/beta release ratified for public consumption ahead of a new
> major release. Better to have a little more testing in the wild to
> identify problems before 2.0.0 is finalized.
>
> +1 to the release. License, sigs, etc check out. On Ubuntu 16 + Java
> 8, compilation and tests succeed for "-Pyarn -Phive
> -Phive-thriftserver -Phadoop-2.6".
>
> On Wed, May 18, 2016 at 6:40 AM, Reynold Xin <r...@apache.org> wrote:
>
> Hi,
>
> In the past the Apache Spark community have created preview packages (not
> official releases) and used those as opportunities to ask community members
> to test the upcoming versions of Apache Spark. Several people in the Apache
> community have suggested we conduct votes for these preview packages and
> turn them into formal releases by the Apache foundation's standard. Preview
> releases are not meant to be functional, i.e. they can and highly likely
> will contain critical bugs or documentation errors, but we will be able to
> post them to the project's website to get wider feedback. They should
> satisfy the legal requirements of Apache's release policy
> (http://www.apache.org/dev/release.html) such as having proper licenses.
>
>
> Please vote on releasing the following candidate as Apache Spark version
> 2.0.0-preview. The vote is open until Friday, May 20, 2015 at 11:00 PM PDT
> and passes if a majority of at least 3 +1 PMC votes are cast.
>
> [ ] +1 Release this package as Apache Spark 2.0.0-preview
> [ ] -1 Do not release this package because ...
>
> To learn more about Apache Spark, please see http://spark.apache.org/
>
> The tag to be voted on is 2.0.0-preview
> (8f5a04b6299e3a47aca13cbb40e72344c0114860)
>
> The release files, including signatures, digests, etc. can be found at:
> http://home.apache.org/~pwendell/spark-releases/spark-2.0.0-preview-bin/
>
> Release artifacts are signed with the following key:
> https://people.apache.org/keys/committer/pwendell.asc
>
> The documentation corresponding to this release can be found at:
> http://home.apache.org/~pwendell/spark-releases/spark-2.0.0-preview-docs/
>
> The list of resolved issues are:
>
> https://issues.apache.org/jira/browse/SPARK-15351?jql=project%20%3D%20SPARK%20AND%20fixVersion%20%3D%202.0.0
>
>
> If you are a Spark user, you can help us test this release by taking an
> existing Apache Spark workload and running on this candidate, then
> reporting
> any regressions.
>
>
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>
>

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