hbutani / spark-druid-olap

Sparkline BI Accelerator provides fast ad-hoc query capability over Logical Cubes. This has been folded into our SNAP Platform(http://bit.ly/2oBJSpP) an Integrated BI platform on Apache Spark.

Home Page:http://sparklinedata.com/

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

count(distinct(dimension)) cannot translate to hyperUnique

SharpRay opened this issue · comments

I created a batch ingestion spec and defined a hyperUnique metric in it. When I query data from dataSource using sparkline, I found the count(distinct(dimension)) cannot translate to hyperUnique aggregation. Is it a bug or the misuse I made? or this feature is not supported for now?

The druid cardinality aggregator is not supported too, as supplementary.

We haven't added support for cardinality or HyperUnique aggregator.
We should be adding support for it soon.

Thanks

On Tue, Aug 30, 2016 at 3:59 AM, god0530 notifications@github.com wrote:

The druid cardinality aggregator is not supported too, as supplementary.


You are receiving this because you are subscribed to this thread.
Reply to this email directly, view it on GitHub
#56 (comment),
or mute the thread
https://github.com/notifications/unsubscribe-auth/AEcnVqR1GwTJHmXMEPX4BiCl5Oj-nSpyks5qlAz-gaJpZM4JwWrH
.

https://groups.google.com/forum/#!topic/sparklinedata/sRCdIO1gzKM
This post is mine.....
I have implemented hyperUnique in sparklinedata,can I make a PR?

oh sorry didn't realize this
yes of course please send us a PR

closing the issue, but a PR is very welcome

Copy. I will send the PR ASAP.