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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