Hi Willem,

Referring to the recent incubation process of streampark [1] and uniffle
[2], it seems they didn't rename their original project names before
entering apache incubator, thus we didn't plan to change the original
github project name but would redirect it to the new project after entering
incubation. OTOH, if such a rename is necessary before incubation, we will
need some internal approval to process. Thanks.

Best Regards,
Yu

[1] https://lists.apache.org/thread/ns5n6ozl1mdvdbhmkfol67lt163m74v3
[2] https://lists.apache.org/thread/fyyhkjvhzl4hpzr52hd64csh5lt2wm6h


On Fri, 23 Sept 2022 at 09:07, Willem Jiang <ningji...@apache.org> wrote:

> I just checked the source repo, it is still using the name of
> RemoteShuffleService.
> Is there any plan for when we will change the project name?
>
> On Thu, Sep 22, 2022 at 11:45 AM Yu Li <car...@gmail.com> wrote:
> >
> > Hi All,
> >
> > I would like to propose Datark [1] as a new apache incubator project, and
> > you can find the proposal [2] of Datark for more details.
> >
> > Datark is an intermediate (shuffle and spilled) data service for big data
> > compute engines (Apache Spark, Apache Flink, Apache Hive, etc.) to boost
> > performance, stability, and flexibility. It aims at enabling computing
> > engines to fully embrace the disaggregated architecture. In a lot of
> cases,
> > intermediate data depends on large local disks, and is often a major
> cause
> > of inefficiency, instability, and inflexibility in the lifecycle of a
> > distributed job. Datark solves the problems through the following core
> > designs:
> >
> > 1. Push-based shuffle plus partition data aggregation to turn random IO
> > access into sequential access.
> > 2. FileSystem-like API to support writing spilled data.
> > 3. Hierarchical storage from memory to DFS/object store to enable fast
> > cache and massive storage space.
> > 4. Engine-irrelevant APIs for easy integrating to various engines.
> > 5. Extended fault tolerance and data replication to increase reliability
> >
> > Datark is currently adopted in the production environment at both Alibaba
> > and many other companies, serving petabytes of data per day. Beyond that,
> > it has more open source users including Shopee, NetEase, Bilibily, BOSS,
> > and Synnex. Most of these users have made contributions to the project,
> > forming an active community with dozens of developers.
> >
> > The proposed initial committers are interested in joining ASF to
> reinforce
> > extensive collaboration and build a more vibrant community. We believe
> the
> > Datark project will provide tremendous value for the community if it is
> > introduced into the Apache incubator.
> >
> > I will help this project as the champion and many thanks to our four
> other
> > mentors:
> >
> > * Becket Qin (j...@apache.org)
> > * Duo Zhang (zhang...@apache.org)
> > * Lidong Dai (lidong...@apache.org)
> > * Willem Jiang (ningji...@apache.org)
> >
> > FWIW, although with different solutions, the issues Datark aims to
> resolve
> > have some overlap with Apache Uniffle (incubating) [3]. Actually we
> noticed
> > this during the discussion phase of Uniffle incubation (when we were also
> > preparing for the incubation) and had some open and friendly discussion
> to
> > see whether there could be a joint force [4], and finally decided to
> > develop independently for the time being [5].
> >
> > Look forward to your feedback. Thanks.
> >
> > Best Regards,
> > Yu
> >
> > [1] https://github.com/alibaba/RemoteShuffleService
> > [2] https://cwiki.apache.org/confluence/display/INCUBATOR/DatarkProposal
> > [3] https://uniffle.apache.org/
> > [4] https://lists.apache.org/thread/1w74z5f0pb7bhslhzcl5x7rdj9s9objz
> > [5] https://lists.apache.org/thread/pg8lzhzc1794x3yloqp169j0mdzqs3yw
>
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