This one is important to us: https://issues.apache.org/jira/browse/SPARK-24020 
(Sort-merge join inner range optimization) but I think it could be useful to 
others too. 

It is finished and is ready to be merged (was ready a month ago at least).

Do you think you could consider including it in 2.4?

Petar


Wenchen Fan @ 1970-01-01 01:00 CET:

> I went through the open JIRA tickets and here is a list that we should 
> consider for Spark 2.4:
>
> High Priority:
> SPARK-24374: Support Barrier Execution Mode in Apache Spark
> This one is critical to the Spark ecosystem for deep learning. It only has a 
> few remaining works and I think we should have it in Spark 2.4.
>
> Middle Priority:
> SPARK-23899: Built-in SQL Function Improvement
> We've already added a lot of built-in functions in this release, but there 
> are a few useful higher-order functions in progress, like `array_except`, 
> `transform`, etc. It would be great if we can get them in Spark 2.4.
>
> SPARK-14220: Build and test Spark against Scala 2.12
> Very close to finishing, great to have it in Spark 2.4.
>
> SPARK-4502: Spark SQL reads unnecessary nested fields from Parquet
> This one is there for years (thanks for your patience Michael!), and is also 
> close to finishing. Great to have it in 2.4.
>
> SPARK-24882: data source v2 API improvement
> This is to improve the data source v2 API based on what we learned during 
> this release. From the migration of existing sources and design of new 
> features, we found some problems in the API and want to address them. I 
> believe this should be
> the last significant API change to data source v2, so great to have in Spark 
> 2.4. I'll send a discuss email about it later.
>
> SPARK-24252: Add catalog support in Data Source V2
> This is a very important feature for data source v2, and is currently being 
> discussed in the dev list.
>
> SPARK-24768: Have a built-in AVRO data source implementation
> Most of it is done, but date/timestamp support is still missing. Great to 
> have in 2.4.
>
> SPARK-23243: Shuffle+Repartition on an RDD could lead to incorrect answers
> This is a long-standing correctness bug, great to have in 2.4.
>
> There are some other important features like the adaptive execution, 
> streaming SQL, etc., not in the list, since I think we are not able to finish 
> them before 2.4.
>
> Feel free to add more things if you think they are important to Spark 2.4 by 
> replying to this email.
>
> Thanks,
> Wenchen
>
> On Mon, Jul 30, 2018 at 11:00 PM Sean Owen <sro...@apache.org> wrote:
>
>  In theory releases happen on a time-based cadence, so it's pretty much wrap 
> up what's ready by the code freeze and ship it. In practice, the cadence 
> slips frequently, and it's very much a negotiation about what features should 
> push the
>  code freeze out a few weeks every time. So, kind of a hybrid approach here 
> that works OK. 
>
>  Certainly speak up if you think there's something that really needs to get 
> into 2.4. This is that discuss thread.
>
>  (BTW I updated the page you mention just yesterday, to reflect the plan 
> suggested in this thread.)
>
>  On Mon, Jul 30, 2018 at 9:51 AM Tom Graves <tgraves...@yahoo.com.invalid> 
> wrote:
>
>  Shouldn't this be a discuss thread?  
>
>  I'm also happy to see more release managers and agree the time is getting 
> close, but we should see what features are in progress and see how close 
> things are and propose a date based on that.  Cutting a branch to soon just 
> creates
>  more work for committers to push to more branches. 
>
>   http://spark.apache.org/versioning-policy.html mentioned the code freeze 
> and release branch cut mid-august.
>
>  Tom


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