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 > > > > > > > > > >
