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
>>>
>>>
>>>
>>
>

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