Hello All, There was typo for the year in the mail. It should be 2018 instead of 2019. Thanks Aman for correcting it.
Regards, -Hanu On Thu, Nov 1, 2018 at 6:30 AM Charles Givre <cgi...@gmail.com> wrote: > Hi Hanumath, > This looks great!! Will you be streaming the event for those of us not in > the Bay Area? > Thx, > — C > > > On Nov 1, 2018, at 00:10, Hanumath Rao Maduri <hanu....@gmail.com> > wrote: > > > > Drill Developers, > > > > > > I am quite excited to announce the details of the Drill developers day > > 2018. I have consolidated the topics from our earlier discussions and > > prioritized them according to the votes. > > > > > > MapR has offered to host it on Nov 14th in Training room downstairs. > > > > > > Here is the exact location > > > > > > Training Room at > > > > 4555 Great America Pkwy, Suite 201, Santa Clara, CA, 95054. > > > > > > Please find the agenda for the meetup. > > > > > > > > *Lunch starts at 12:00PM.* > > > > > > *[12:25 - 12:40] Welcome * > > > > - Recap on last year's activities > > - Preview of this year's focus > > > > *[12:40 - 1:00] Storage plugins* > > > > > > > > - Adding new storage plugins for the following: > > - Netflix Iceberg, Kudu(some code already exists), Cassandra, > > Elasticsearch, Carbondata, ORC/XML file formats, Spark > > RDD/DataFrames/Datasets, Graph databases & more > > - Improving documentation related to Storage plugins > > > > > > *[1:00 - 1:45] Schema discovery & Evolution* > > > > > > > > - Creation, management of schema > > - Handling schema changes in certain common cases > > - Handling NULL values elegantly > > - Schema learning (similar to MSGpack plugin) > > - Query hints > > > > *[1:45 - 2:30] Metadata Management* > > > > > > > > - Defining an abstraction layer for various types of metadata: views, > > schema, statistics, security > > - Underlying storage for metadata: what are the options and their > > trade-offs? > > - Hive metastore > > - Parquet metadata cache (parquet specific for row group metadata) > > - Ease of using the parquet files generated by other engines (like > spark) > > > > > > *[2:30 - 2:45] Break* > > > > > > *[2:45 - 4:00] Resource management* > > > > > > > > - Resource limits per query > > - Optimal memory assignment for blocking operators based on stats > > - Enhancing the blocking and exchange operators to live within memory > > limits > > - Aligning with admission control/queueing (YARN concepts) > > - Query scheduling based on queues using tagging and costing > > - Drill on kubernetes > > > > > > *[4:00 - 4:20] Apache Arrow* > > > > - Benefits of integrating Apache Drill with Apache Arrow > > - Possible trade-offs & implementation hurdles > > > > *[4:20 - 4:40] **Performance Improvements* > > > > - Efficient handling of Broadcast/Semi/Anti Semi join > > - Drill Statistics handling > > - Optimizing complex Parquet reader > > > > Thanks, > > -Hanu > >
