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From Matei Zaharia <matei.zaha...@gmail.com>
Subject Re: time for Apache Spark 3.0?
Date Thu, 06 Sep 2018 21:21:21 GMT
Yes, you can start with Unstable and move to Evolving and Stable when needed. We’ve definitely
had experimental features that changed across maintenance releases when they were well-isolated.
If your change risks breaking stuff in stable components of Spark though, then it probably
won’t be suitable for that.

> On Sep 6, 2018, at 1:49 PM, Ryan Blue <rblue@netflix.com.INVALID> wrote:
> 
> I meant flexibility beyond the point releases. I think what Reynold was suggesting was
getting v2 code out more often than the point releases every 6 months. An Evolving API can
change in point releases, but maybe we should move v2 to Unstable so it can change more often?
I don't really see another way to get changes out more often.
> 
> On Thu, Sep 6, 2018 at 11:07 AM Mark Hamstra <mark@clearstorydata.com> wrote:
> Yes, that is why we have these annotations in the code and the corresponding labels appearing
in the API documentation: https://github.com/apache/spark/blob/master/common/tags/src/main/java/org/apache/spark/annotation/InterfaceStability.java
> 
> As long as it is properly annotated, we can change or even eliminate an API method before
the next major release. And frankly, we shouldn't be contemplating bringing in the DS v2 API
(and, I'd argue, any new API) without such an annotation. There is just too much risk of not
getting everything right before we see the results of the new API being more widely used,
and too much cost in maintaining until the next major release something that we come to regret
for us to create new API in a fully frozen state.
>  
> 
> On Thu, Sep 6, 2018 at 9:49 AM Ryan Blue <rblue@netflix.com.invalid> wrote:
> It would be great to get more features out incrementally. For experimental features,
do we have more relaxed constraints?
> 
> On Thu, Sep 6, 2018 at 9:47 AM Reynold Xin <rxin@databricks.com> wrote:
> +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?
> 
> 
> 
> -- 
> Ryan Blue
> Software Engineer
> Netflix
> 
> 
> -- 
> Ryan Blue
> Software Engineer
> Netflix


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