Yes, I can filter..
Did that and for example:
https://issues.apache.org/jira/browse/SPARK-15370?jql=project%20%3D%20SPARK%20AND%20resolution%20%3D%20Unresolved%20AND%20affectedVersion%20%3D%202.0.0
 
<https://issues.apache.org/jira/browse/SPARK-15370?jql=project%20=%20SPARK%20AND%20resolution%20=%20Unresolved%20AND%20affectedVersion%20=%202.0.0>

To rephrase: for 2.0 do you have specific issues that are not a priority and 
will released maybe with 2.1 for example?

Keep up the good work!

> On 18 May 2016, at 18:19, Reynold Xin <r...@databricks.com> wrote:
> 
> 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 <mailto: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 
>> <mailto: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 
>> <mailto: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 
>>> <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/ 
>>> <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/ 
>>> <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 
>>> <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/ 
>>> <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
>>>  
>>> <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.
>>> 
>> 
>> ---------------------------------------------------------------------
>> To unsubscribe, e-mail: dev-unsubscr...@spark.apache.org 
>> <mailto:dev-unsubscr...@spark.apache.org>
>> For additional commands, e-mail: dev-h...@spark.apache.org 
>> <mailto:dev-h...@spark.apache.org>
>> 
> 
> 

Reply via email to