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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