Hi Charles,
yes, it would be great if remote folks could participate..I will look into
the options for livestreaming.


On Thu, Aug 24, 2017 at 8:42 AM, Charles Givre <cgi...@gmail.com> wrote:

> Hi Aman,
> Would you consider doing some sort of livestream so that those of us who
> couldn’t be there in person can participate?
> Thanks,
> — C
>
> > On Aug 24, 2017, at 11:39, Aman Sinha <amansi...@apache.org> wrote:
> >
> > Drill Developers,
> >
> > In order to kick-start the Drill 2.0  release discussions, I would like
> to
> > propose a Drill 2.0  (design) hackathon (a.k.a Drill Developer Day ™ J ).
> >
> > As I mentioned in the hangout on Tuesday,  MapR has offered to host it on
> > Sept 18th at their offices at 350 Holger Way, San Jose.   Hope that works
> > for most of you!
> >
> > The goal is to get the community together for a day-long technical
> > discussion on key topics in preparation for a Drill 2.0 release as well
> as
> > potential improvements in upcoming 1.xx releases.  Depending on the
> > interest areas, we could form groups and have a volunteer lead each
> group.
> >
> > Based on prior discussions on the dev list, hangouts and existing JIRAs,
> > there is already a substantial set of topics and I have summarized a few
> of
> > them below.   What other topics do folks want to talk about?   Feel free
> to
> > respond to this thread and I will create a google doc to consolidate.
> > Understandably, the list would be long but we will use the hackathon to
> get
> > a sense of a reasonable feature set for 1.xx and 2.0 releases.
> >
> >
> > 1. Metadata management.
> >
> >  1a: Defining an abstraction layer for various types of metadata: views,
> > schema, statistics, security
> >
> >  1b: Underlying storage for metadata: what are the options and their
> > trade-offs?
> >
> >      - Hive metastore
> >
> >      - Parquet metadata cache (parquet specific)
> >
> >      - An embedded DBMS
> >
> >      - A distributed key-value store
> >
> >      - Others..
> >
> >
> >
> > 2. Drill integration with Apache Arrow
> >
> >  2a: Evaluate the choices and tradeoffs
> >
> >
> >
> > 3. Resource management
> >
> >  3a: Memory limits per query
> >
> >  3b: Spilling
> >
> >  3c: Resource management with Drill on Yarn/Mesos/Kubernetes
> >
> >  3d: Local vs. global resource management
> >
> >  3e: Aligning with admission control/queueing
> >
> >
> >
> > 4. TPC-DS coverage and related planner/operator enhancements
> >
> >  4a: Additional set operations: INTERSECT, EXCEPT
> >
> >  4b: GROUPING SETS, ROLLUP, CUBE support
> >
> >  4c: Handling inequality joins and cartesian joins of non-scalar inputs
> > (via Nested Loop Join)
> >
> >  4d: Remaining gaps in correlated subquery
> >
> >  4e: Statistics: Number of Distinct Values, Histograms
> >
> >
> >
> > 5. Schema handling
> >
> >  5a: Creation, management of schema
> >
> >  5b: Handling schema changes in certain common cases
> >
> >  5c: Schema-awareness
> >
> >  5d: Others TBD
> >
> >
> >
> > 6. Concurrency
> >
> >  6a: What are the bottlenecks to achieving higher concurrency
> >
> >  6b: Ideas to address these..e.g async execution ?
> >
> >
> >
> > 7. Storage plugins,  REST APIs related enhancements
> >
> >    <Topics TBD>
> >
> >
> >
> > 8. Performance improvements
> >
> >  8a: Filter pushdown
> >
> >  8b: Vectorized Parquet reader
> >
> >  8c: Code-gen improvements
> >
> >  8d: Others TBD
>
>

Reply via email to