+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 > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > >
