+1 (binding)

An interesting project. Good luck!

Best,
tison.


Jungtaek Lim <kabhwan.opensou...@gmail.com> 于2022年5月25日周三 14:22写道:

> +1 (non-binding)
>
> Good luck!
>
> On Wed, May 25, 2022 at 2:42 PM Daniel Widdis <wid...@gmail.com> wrote:
>
> > This was stated in the other thread: Unified/Universal Shuffle
> >
> > On 5/24/22, 10:04 PM, "XiaoYu" <xia...@apache.org> wrote:
> >
> >     Hi
> >
> >     Uniffle  as a project name, What does he mean~
> >
> >     thanks
> >
> >     Weiwei Yang <w...@apache.org> 于2022年5月25日周三 12:57写道:
> >     >
> >     > +1 (binding)
> >     > Good luck!
> >     >
> >     > On Tue, May 24, 2022 at 8:49 PM Ye Xianjin <advance...@gmail.com>
> > wrote:
> >     >
> >     > > +1 (non-binding).
> >     > >
> >     > > Sent from my iPhone
> >     > >
> >     > > > On May 25, 2022, at 9:59 AM, Goson zhang <
> gosonzh...@apache.org>
> > wrote:
> >     > > >
> >     > > > +1 (non-binding)
> >     > > >
> >     > > > Good luck!
> >     > > >
> >     > > > Daniel Widdis <wid...@gmail.com> 于2022年5月25日周三 09:53写道:
> >     > > >
> >     > > >> +1 (non-binding) from me!  Good luck!
> >     > > >>
> >     > > >> On 5/24/22, 9:05 AM, "Jerry Shao" <js...@apache.org> wrote:
> >     > > >>
> >     > > >>    Hi all,
> >     > > >>
> >     > > >>    Due to the name issue in thread (
> >     > > >>
> > https://lists.apache.org/thread/y07xjkqzvpchncym9zr1hgm3c4l4ql0f),
> >     > > we
> >     > > >>    figured out a new project name "Uniffle" and created a new
> > Thread.
> >     > > >> Please
> >     > > >>    help to discuss.
> >     > > >>
> >     > > >>    We would like to propose Uniffle[1] as a new Apache
> incubator
> >     > > project,
> >     > > >> you
> >     > > >>    can find the proposal here [2] for more details.
> >     > > >>
> >     > > >>    Uniffle is a high performance, general purpose Remote
> > Shuffle Service
> >     > > >> for
> >     > > >>    distributed compute engines like Apache Spark
> >     > > >>    <https://spark.apache.org/>, Apache
> >     > > >>    Hadoop MapReduce <https://hadoop.apache.org/>, Apache
> Flink
> >     > > >>    <https://flink.apache.org/> and so on. We are aiming to
> make
> >     > > >> Firestorm a
> >     > > >>    universal shuffle service for distributed compute engines.
> >     > > >>
> >     > > >>    Shuffle is the key part for a distributed compute engine to
> > exchange
> >     > > >> the
> >     > > >>    data between distributed tasks, the performance and
> > stability of
> >     > > >> shuffle
> >     > > >>    will directly affect the whole job. Current “local file
> > pull-like
> >     > > >> shuffle
> >     > > >>    style” has several limitations:
> >     > > >>
> >     > > >>       1. Current shuffle is hard to support super large
> > workloads,
> >     > > >> especially
> >     > > >>       in a high load environment, the major problem is IO
> > problem
> >     > > (random
> >     > > >> disk IO
> >     > > >>       issue, network congestion and timeout).
> >     > > >>       2. Current shuffle is hard to deploy on the
> disaggregated
> > compute
> >     > > >>       storage environment, as disk capacity is quite limited
> on
> > compute
> >     > > >> nodes.
> >     > > >>       3. The constraint of storing shuffle data locally makes
> > it hard to
> >     > > >> scale
> >     > > >>       elastically.
> >     > > >>
> >     > > >>    Remote Shuffle Service is the key technology for
> enterprises
> > to build
> >     > > >> big
> >     > > >>    data platforms, to expand big data applications to
> > disaggregated,
> >     > > >>    online-offline hybrid environments, and to solve above
> > problems.
> >     > > >>
> >     > > >>    The implementation of Remote Shuffle Service -  “Uniffle”
> -
> > is
> >     > > heavily
> >     > > >>    adopted in Tencent, and shows its advantages in production.
> > Other
> >     > > >>    enterprises also adopted or prepared to adopt Firestorm in
> > their
> >     > > >>    environments.
> >     > > >>
> >     > > >>    Uniffle's key idea is brought from Salfish shuffle
> >     > > >>    <
> >     > > >>
> >     > >
> >
> https://www.researchgate.net/publication/262241541_Sailfish_a_framework_for_large_scale_data_processing
> >     > > >>> ,
> >     > > >>    it has several key design goals:
> >     > > >>
> >     > > >>       1. High performance. Firestorm’s performance is close
> > enough to
> >     > > >> local
> >     > > >>       file based shuffle style for small workloads. For large
> > workloads,
> >     > > >> it is
> >     > > >>       far better than the current shuffle style.
> >     > > >>       2. Fault tolerance. Firestorm provides high availability
> > for
> >     > > >> Coordinated
> >     > > >>       nodes, and failover for Shuffle nodes.
> >     > > >>       3. Pluggable. Firestorm is highly pluggable, which could
> > be suited
> >     > > >> to
> >     > > >>       different compute engines, different backend storages,
> and
> >     > > different
> >     > > >>       wire-protocols.
> >     > > >>
> >     > > >>    We believe that Uniffle project will provide the great
> value
> > for the
> >     > > >>    community if it is accepted by the Apache incubator.
> >     > > >>
> >     > > >>    I will help this project as champion and many thanks to
> the 3
> >     > > mentors:
> >     > > >>
> >     > > >>       -
> >     > > >>
> >     > > >>       Felix Cheung (felixche...@apache.org)
> >     > > >>       - Junping du (junping...@apache.org)
> >     > > >>       - Weiwei Yang (w...@apache.org)
> >     > > >>       - Xun liu (liu...@apache.org)
> >     > > >>       - Zhankun Tang (zt...@apache.org)
> >     > > >>
> >     > > >>
> >     > > >>    [1] https://github.com/Tencent/Firestorm
> >     > > >>    [2]
> >     > > >>
> > https://cwiki.apache.org/confluence/display/INCUBATOR/UniffleProposal
> >     > > >>
> >     > > >>    Best regards,
> >     > > >>    Jerry
> >     > > >>
> >     > > >>
> >     > > >>
> >     > > >>
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> >     > > >>
> >     > > >>
> >     > >
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