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
