totally +1 on clarifying Hudi's vision.

On Wed, Apr 14, 2021 at 3:43 AM nishith agarwal <n3.nas...@gmail.com> wrote:

> +1
>
> I also believe Hudi is a Data Platform technology providing many different
> functionalities to build modern data lakes, Hudi's table format being just
> one of them. I've been using this perspective in some of the conference
> talks already ;)
> With this rebranding (and hopefully some code/package structuring down the
> road..), it's easier for us to communicate the value add of Hudi and its
> associated features and generate interest for future contributors.
>
> Thanks,
> Nishith
>
>
> On Tue, Apr 13, 2021 at 7:52 PM Vinoth Chandar <vin...@apache.org> wrote:
>
> > Thanks everyone for the feedback, so far!
> >
> > On the incremental aspects, that's actually Hudi's core design
> > differentiation. While I believe the ETL today is still largely batch
> > oriented, the way forward for everyone's
> > benefit is indeed - incremental processing. We have already taken a giant
> > step here for e.g in making raw data ingestion fully incremental using
> > deltastreamer. We should keep working to crack incremental ETL at large.
> > 100% with your line of thinking!
> >
> > It's been in my head for four full years now! :)
> >
> >
> https://www.oreilly.com/content/ubers-case-for-incremental-processing-on-hadoop/
> >
> > I have started drafting a blog/PR along these lines already. I will make
> it
> > more final and share here, as we wait couple more days for more feedback!
> >
> > Thanks
> > Vinoth
> >
> > On Tue, Apr 13, 2021 at 7:01 PM Danny Chan <danny0...@apache.org> wrote:
> >
> > > +1 for the vision, personally i'm promising the incremental ETL part,
> > with
> > > engine like Apache Flink we can do intermediate aggregation in
> streaming
> > > style.
> > >
> > > Best,
> > > Danny Chan
> > >
> > > leesf <leesf0...@gmail.com> 于2021年4月14日周三 上午9:52写道:
> > >
> > > > +1. Cool and promising.
> > > >
> > > > Mehrotra, Udit <udi...@amazon.com.invalid> 于2021年4月14日周三 上午2:57写道:
> > > >
> > > > > 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:
> > > > >
> > > > >     CAUTION: This email originated from outside of the
> organization.
> > Do
> > > > > not click links or open attachments unless you can confirm the
> sender
> > > and
> > > > > know the content is safe.
> > > > >
> > > > >
> > > > >
> > > > >     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
> > > > >     > > > > > > > >
> > > > >     > > > > > > >
> > > > >     > > > > > >
> > > > >     > > > > >
> > > > >     > > > >
> > > > >     > > >
> > > > >     > >
> > > > >     >
> > > > >
> > > > >
> > > >
> > >
> >
>


-- 
Regards,
-Sivabalan

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