Hi,

Why would I need to start 2.1? If it's ready for master, why could it be
not part of 2.0? "Release early and often" is what would benefit Spark a
lot. The time to ship 2.0 is far too long I think. And I know companies
that won't use 2.0 because...it's "0" version :-(

Jacek
On 3 Jul 2016 2:59 a.m., "Reynold Xin" <r...@databricks.com> wrote:

> Because in that case you cannot merge anything meant for 2.1 until 2.0 is
> released.
>
> On Saturday, July 2, 2016, Jacek Laskowski <ja...@japila.pl> wrote:
>
>> Hi,
>>
>> Always release from master. What could be the gotchas?
>>
>> Pozdrawiam,
>> Jacek Laskowski
>> ----
>> https://medium.com/@jaceklaskowski/
>> Mastering Apache Spark http://bit.ly/mastering-apache-spark
>> Follow me at https://twitter.com/jaceklaskowski
>>
>>
>> On Sat, Jul 2, 2016 at 11:36 PM, Sean Owen <so...@cloudera.com> wrote:
>> > I am not sure any other process makes sense. What are you suggesting
>> should
>> > happen?
>> >
>> >
>> > On Sat, Jul 2, 2016, 22:27 Jacek Laskowski <ja...@japila.pl> wrote:
>> >>
>> >> Hi,
>> >>
>> >> Thanks Sean! It makes sense.
>> >>
>> >> I'm not fully convinced that's how it should be, so I apologize if I
>> >> ever ask about the version management in Spark again :)
>> >>
>> >> Pozdrawiam,
>> >> Jacek Laskowski
>> >> ----
>> >> https://medium.com/@jaceklaskowski/
>> >> Mastering Apache Spark http://bit.ly/mastering-apache-spark
>> >> Follow me at https://twitter.com/jaceklaskowski
>> >>
>> >>
>> >> On Sat, Jul 2, 2016 at 11:19 PM, Sean Owen <so...@cloudera.com> wrote:
>> >> > Because a 2.0.0 release candidate is out. If for some reason the
>> >> > release candidate becomes the 2.0.0 release, then anything merged to
>> >> > branch-2.0 after it is necessarily fixed in 2.0.1 at best. At this
>> >> > stage we know the RC1 will not be 2.0.0, so really that vote should
>> be
>> >> > formally cancelled. Then we just mark anything fixed for 2.0.1 as
>> >> > fixed for 2.0.0 and make another RC.
>> >> >
>> >> > master is not what will be released as 2.0.0. branch-2.0 is what will
>> >> > contain that release.
>> >> >
>> >> > On Sat, Jul 2, 2016 at 10:11 PM, Jacek Laskowski <ja...@japila.pl>
>> >> > wrote:
>> >> >> Hi Sean, devs,
>> >> >>
>> >> >> How is this possible that Fix Version/s is 2.0.1 given 2.0.0 was not
>> >> >> released yet? Why is that that master is not what's going to be
>> >> >> released so eventually becomes 2.0.0? I don't get it. Appreciate any
>> >> >> guidance. Thanks.
>> >> >>
>> >> >> Pozdrawiam,
>> >> >> Jacek Laskowski
>> >> >> ----
>> >> >> https://medium.com/@jaceklaskowski/
>> >> >> Mastering Apache Spark http://bit.ly/mastering-apache-spark
>> >> >> Follow me at https://twitter.com/jaceklaskowski
>> >> >>
>> >> >>
>> >> >> On Sat, Jul 2, 2016 at 5:30 PM, Sean Owen (JIRA) <j...@apache.org>
>> >> >> wrote:
>> >> >>>
>> >> >>>      [
>> >> >>>
>> https://issues.apache.org/jira/browse/SPARK-16345?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
>> >> >>> ]
>> >> >>>
>> >> >>> Sean Owen resolved SPARK-16345.
>> >> >>> -------------------------------
>> >> >>>        Resolution: Fixed
>> >> >>>     Fix Version/s: 2.0.1
>> >> >>>
>> >> >>> Issue resolved by pull request 14015
>> >> >>> [https://github.com/apache/spark/pull/14015]
>> >> >>>
>> >> >>>> Extract graphx programming guide example snippets from source
>> files
>> >> >>>> instead of hard code them
>> >> >>>>
>> >> >>>>
>> ---------------------------------------------------------------------------------------------
>> >> >>>>
>> >> >>>>                 Key: SPARK-16345
>> >> >>>>                 URL:
>> >> >>>> https://issues.apache.org/jira/browse/SPARK-16345
>> >> >>>>             Project: Spark
>> >> >>>>          Issue Type: Improvement
>> >> >>>>          Components: Documentation, Examples, GraphX
>> >> >>>>    Affects Versions: 2.0.0
>> >> >>>>            Reporter: Weichen Xu
>> >> >>>>             Fix For: 2.0.1
>> >> >>>>
>> >> >>>>
>> >> >>>> Currently, all example snippets in the graphx programming guide
>> are
>> >> >>>> hard-coded, which can be pretty hard to update and verify. On the
>> contrary,
>> >> >>>> ML document pages are using the include_example Jekyll plugin to
>> extract
>> >> >>>> snippets from actual source files under the examples sub-project.
>> In this
>> >> >>>> way, we can guarantee that Java and Scala code are compilable,
>> and it would
>> >> >>>> be much easier to verify these example snippets since they are
>> part of
>> >> >>>> complete Spark applications.
>> >> >>>> The similar task is SPARK-11381.
>> >> >>>
>> >> >>>
>> >> >>>
>> >> >>> --
>> >> >>> This message was sent by Atlassian JIRA
>> >> >>> (v6.3.4#6332)
>> >> >>>
>> >> >>>
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>> >> >>>
>> >> >>
>> >> >>
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