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From Reynold Xin <r...@databricks.com>
Subject Re: time for Apache Spark 3.0?
Date Thu, 06 Sep 2018 16:47:21 GMT
+1 on 3.0

Dsv2 stable can still evolve in across major releases. DataFrame, Dataset,
dsv1 and a lot of other major features all were developed throughout the
1.x and 2.x lines.

I do want to explore ways for us to get dsv2 incremental changes out there
more frequently, to get feedback. Maybe that means we apply additive
changes to 2.4.x; maybe that means making another 2.5 release sooner. I
will start a separate thread about it.



On Thu, Sep 6, 2018 at 9:31 AM Sean Owen <srowen@gmail.com> wrote:

> I think this doesn't necessarily mean 3.0 is coming soon (thoughts on
> timing? 6 months?) but simply next. Do you mean you'd prefer that change to
> happen before 3.x? if it's a significant change, seems reasonable for a
> major version bump rather than minor. Is the concern that tying it to 3.0
> means you have to take a major version update to get it?
>
> I generally support moving on to 3.x so we can also jettison a lot of
> older dependencies, code, fix some long standing issues, etc.
>
> (BTW Scala 2.12 support, mentioned in the OP, will go in for 2.4)
>
> On Thu, Sep 6, 2018 at 9:10 AM Ryan Blue <rblue@netflix.com.invalid>
> wrote:
>
>> My concern is that the v2 data source API is still evolving and not very
>> close to stable. I had hoped to have stabilized the API and behaviors for a
>> 3.0 release. But we could also wait on that for a 4.0 release, depending on
>> when we think that will be.
>>
>> Unless there is a pressing need to move to 3.0 for some other area, I
>> think it would be better for the v2 sources to have a 2.5 release.
>>
>> On Thu, Sep 6, 2018 at 8:59 AM Xiao Li <gatorsmile@gmail.com> wrote:
>>
>>> Yesterday, the 2.4 branch was created. Based on the above discussion, I
>>> think we can bump the master branch to 3.0.0-SNAPSHOT. Any concern?
>>>
>>>

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