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 > > >
