Agree with the rebranding Vinoth. Hudi is not just a "table format" and we need 
to do justice to all the cool auxiliary features/services we have built.

Also, timeline metadata service in particular would be a really big win if we 
move towards something like that.

On 4/13/21, 11:01 AM, "Pratyaksh Sharma" <pratyaks...@gmail.com> wrote:

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    Definitely we are doing much more than only ingesting and managing data
    over DFS.

    +1 from my side as well. :)

    On Tue, Apr 13, 2021 at 10:02 PM Susu Dong <susudo...@gmail.com> wrote:

    > I love this rebranding. Totally agree. +1
    >
    > On Wed, Apr 14, 2021 at 1:25 AM Raymond Xu <xu.shiyan.raym...@gmail.com>
    > wrote:
    >
    > > +1 The vision looks fantastic.
    > >
    > > On Tue, Apr 13, 2021 at 7:45 AM Gary Li <gar...@apache.org> wrote:
    > >
    > > > Awesome summary of Hudi! +1 as well.
    > > >
    > > > Gary Li
    > > > On 2021/04/13 14:13:24, Rubens Rodrigues <rubenssoto2...@gmail.com>
    > > > wrote:
    > > > > Excellent, I agree
    > > > >
    > > > > Em ter, 13 de abr de 2021 07:23, vino yang <yanghua1...@gmail.com>
    > > > escreveu:
    > > > >
    > > > > > +1 Excited by this new vision!
    > > > > >
    > > > > > Best,
    > > > > > Vino
    > > > > >
    > > > > > Dianjin Wang <djw...@streamnative.io.invalid> 于2021年4月13日周二
    > > 下午3:53写道:
    > > > > >
    > > > > > > +1  The new brand is straightforward, a better description of
    > Hudi.
    > > > > > >
    > > > > > > Best,
    > > > > > > Dianjin Wang
    > > > > > >
    > > > > > >
    > > > > > > On Tue, Apr 13, 2021 at 1:41 PM Bhavani Sudha <
    > > > bhavanisud...@gmail.com>
    > > > > > > wrote:
    > > > > > >
    > > > > > > > +1 . Cannot agree more. I think this makes total sense and 
will
    > > > provide
    > > > > > > for
    > > > > > > > a much better representation of the project.
    > > > > > > >
    > > > > > > > On Mon, Apr 12, 2021 at 10:30 PM Vinoth Chandar <
    > > vin...@apache.org
    > > > >
    > > > > > > wrote:
    > > > > > > >
    > > > > > > > > Hello all,
    > > > > > > > >
    > > > > > > > > Reading one more article today, positioning Hudi, as just a
    > > table
    > > > > > > format,
    > > > > > > > > made me wonder, if we have done enough justice in explaining
    > > > what we
    > > > > > > have
    > > > > > > > > built together here.
    > > > > > > > > I tend to think of Hudi as the data lake platform, which has
    > > the
    > > > > > > > following
    > > > > > > > > components, of which - one if a table format, one is a
    > > > transactional
    > > > > > > > > storage layer.
    > > > > > > > > But the whole stack we have is definitely worth more than 
the
    > > > sum of
    > > > > > > all
    > > > > > > > > the parts IMO (speaking from my own experience from the past
    > > 10+
    > > > > > years
    > > > > > > of
    > > > > > > > > open source software dev).
    > > > > > > > >
    > > > > > > > > Here's what we have built so far.
    > > > > > > > >
    > > > > > > > > a) *table format* : something that stores table schema, a
    > > > metadata
    > > > > > > table
    > > > > > > > > that stores file listing today, and being extended to store
    > > > column
    > > > > > > ranges
    > > > > > > > > and more in the future (RFC-27)
    > > > > > > > > b) *aux metadata* : bloom filters, external record level
    > > indexes
    > > > > > today,
    > > > > > > > > bitmaps/interval trees and other advanced on-disk data
    > > structures
    > > > > > > > tomorrow
    > > > > > > > > c) *concurrency control* : we always supported MVCC based 
log
    > > > based
    > > > > > > > > concurrency (serialize writes into a time ordered log), and
    > we
    > > > now
    > > > > > also
    > > > > > > > > have OCC for batch merge workloads with 0.8.0. We will have
    > > > > > multi-table
    > > > > > > > and
    > > > > > > > > fully non-blocking writers soon (see future work section of
    > > > RFC-22)
    > > > > > > > > d) *updates/deletes* : this is the bread-and-butter use-case
    > > for
    > > > > > Hudi,
    > > > > > > > but
    > > > > > > > > we support primary/unique key constraints and we could add
    > > > foreign
    > > > > > keys
    > > > > > > > as
    > > > > > > > > an extension, once our transactions can span tables.
    > > > > > > > > e) *table services*: a hudi pipeline today is self-managing 
-
    > > > sizes
    > > > > > > > files,
    > > > > > > > > cleans, compacts, clusters data, bootstraps existing data -
    > all
    > > > these
    > > > > > > > > actions working off each other without blocking one another.
    > > (for
    > > > > > most
    > > > > > > > > parts).
    > > > > > > > > f) *data services*: we also have higher level functionality
    > > with
    > > > > > > > > deltastreamer sources (scalable DFS listing source, Kafka,
    > > > Pulsar is
    > > > > > > > > coming, ...and more), incremental ETL support,
    > de-duplication,
    > > > commit
    > > > > > > > > callbacks, pre-commit validations are coming, error tables
    > have
    > > > been
    > > > > > > > > proposed. I could also envision us building towards 
streaming
    > > > egress,
    > > > > > > > data
    > > > > > > > > monitoring.
    > > > > > > > >
    > > > > > > > > I also think we should build the following (subject to
    > separate
    > > > > > > > > DISCUSS/RFCs)
    > > > > > > > >
    > > > > > > > > g) *caching service*: Hudi specific caching service that can
    > > hold
    > > > > > > mutable
    > > > > > > > > data and serve oft-queried data across engines.
    > > > > > > > > h) t*imeline metaserver:* We already run a metaserver in
    > spark
    > > > > > > > > writer/drivers, backed by rocksDB & even Hudi's metadata
    > table.
    > > > Let's
    > > > > > > > turn
    > > > > > > > > it into a scalable, sharded metastore, that all engines can
    > use
    > > > to
    > > > > > > obtain
    > > > > > > > > any metadata.
    > > > > > > > >
    > > > > > > > > To this end, I propose we rebrand to "*Data Lake Platform*"
    > as
    > > > > > opposed
    > > > > > > to
    > > > > > > > > "ingests & manages storage of large analytical datasets over
    > > DFS
    > > > > > (hdfs
    > > > > > > or
    > > > > > > > > cloud stores)." and convey the scope of our vision,
    > > > > > > > > given we have already been building towards that. It would
    > also
    > > > > > provide
    > > > > > > > new
    > > > > > > > > contributors a good lens to look at the project from.
    > > > > > > > >
    > > > > > > > > (This is very similar to for e.g, the evolution of Kafka
    > from a
    > > > > > pub-sub
    > > > > > > > > system, to an event streaming platform - with addition of
    > > > > > > > > MirrorMaker/Connect etc. )
    > > > > > > > >
    > > > > > > > > Please share your thoughts!
    > > > > > > > >
    > > > > > > > > Thanks
    > > > > > > > > Vinoth
    > > > > > > > >
    > > > > > > >
    > > > > > >
    > > > > >
    > > > >
    > > >
    > >
    >

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