On Sat, Jun 10, 2017 at 11:07 AM, Govindarajan Srinivasaraghavan
<govindragh...@gmail.com> wrote:
> Hi All,
>
> Just to give a background I'm working on a project where I need to store
> fast incoming time series data and have rest api's to query and serve the
> data to users when needed. The data as such is a single JSON which is 1kb in
> size and the data has to be purged after a specific time period (say few
> weeks or months). The incoming rate would be approximately 100k messages per
> second and the biggest challenge is the data should be query-able by
> multiple dimensions with sorting, paging and data dump options.
>
> I started looking into database options and felt like cassandra might be a
> good choice for my use case since the requirement needs faster writes. In
> order to query by multiple dimensions I had to insert the same record into
> multiple denormalized tables (around 8 tables). Now I need to implement
> multitenancy and having an extra column in the partition key to query by
> tenant will not work since there will be some tenants with huge amounts of
> data compared to the rest. My other option is to have the tenant identifier
> appended to the table names so that I can perform per teannt queries easily.
>
> Here are my questions for which I need some help.
> - Given my use case is cassandra the best suited one or is there any other
> database which suits my requirement better?
> - What would be best way to implement multi-tenancy?
> - Given that I need to query by multiple dimensions would denormalized
> tables work better or should I be using materialized views?
> - Anything else that I need to consider based on your experiences with
> cassandra?

You might have a look at newts (http://newts.io,
https://github.com/opennms/newts), I think it ticks all of the above
boxes.


-- 
Eric Evans
john.eric.ev...@gmail.com

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