Congratulations to IndexR team! What is your plan to add indexR storage plugin to Drill? Cannot wait to try it out with Drill.
On Tue, Jan 3, 2017 at 9:02 AM, Jinfeng Ni <[email protected]> wrote: > Forward to drill dev list. People on dev list might be interested in > this as well. > > > On Tue, Jan 3, 2017 at 8:22 AM, Jinfeng Ni <[email protected]> wrote: > > Looks like IndexR is very interesting storage plugin. Although I have > > not looked into the detail, I'm looking forward to seeing the PR and > > hopefully getting this into Drill! > > > > Thanks, > > > > Jinfeng > > > > > > On Tue, Jan 3, 2017 at 7:30 AM, WeiWan <[email protected]> wrote: > >> Hi Charles, > >> > >> It would be great if IndexR plugin can be merged into official Drill > project. I will do some more tests based on latest Drill version and submit > a PR. > >> > >> Regards > >> Flow Wei > >> > >> > >> > >>> On Jan 3, 2017, at 23:18, Charles Givre <[email protected]> wrote: > >>> > >>> This sounds really interesting. Will you be submitting a PR to > integrate this into the main Drill codebase? > >>> — C > >>> > >>>> On Jan 3, 2017, at 03:35, WeiWan <[email protected]> wrote: > >>>> > >>>> IndexR is a distributed, columnar storage system based on HDFS, which > focus on fast analyse, both for massive static(historical) data and rapidly > ingesting realtime data. IndexR is designed for OLAP. > >>>> > >>>> Fast analyze on large dataset > >>>> Realtime ingestion with zero delay for query > >>>> Deep integration with Hadoop ecosystem > >>>> Hardware efficiency > >>>> Highly avaliable, scalable, manageable and simple > >>>> Adapted with popular query engines like Apache Drill, Apache Hive, > etc. > >>>> > >>>> And now it is open source. > >>>> > >>>> Project: https://github.com/shunfei/indexr < > https://github.com/shunfei/indexr> > >>>> Wiki: https://github.com/shunfei/indexr/wiki < > https://github.com/shunfei/indexr/wiki> > >>>> > >>>> IndexR is original developed by Sunteng Tech. This project started a > year ago and now has been deployed to several productions in our company. > The whole cluster consumes over 30 billions events each day in realtime > from Kafka. The largest table contains over 10 billions rows (after rollup) > and rapidly increasing. Most of the statistic/analyze queries’ latency is > less than 3 seconds in real world production environment. > >>>> > >>>> Currently it is mainly used as Drill and Hive storage plugin. It > should be quite easy to master. > >>>> > >>>> We hope IndexR be a favor to you and make it better. > >>>> > >>>> Regards > >>>> Flow Wei > >>>> > >>>> > >>>> > >>> > >> >
