If we are going to completely denormalize the data sets for anonymization,
and we expect just slice and dice queries to the database,
I think we wouldn't take much advantage of a relational DB,
because it wouldn't need to aggregate values, slice or dice,
all slices and dices would be precomputed, right?

It seems to me that the nature of this denormalized/anonymized data sets is more like a key-value store. That's why I suggested Voldemort at first (which, they say, has a slightly faster read than Cassandra), but I see the preference for Cassandra for it being a known tool inside WMF.
So, +1 for Cassandra!

However, if we foresee the need of adding more data sets to the same DB, or querying them in a different way, key-value store would be a limitation.


On Wed, Jun 10, 2015 at 1:01 AM, Dan Andreescu <dandreescu@wikimedia.org> wrote:


On Tue, Jun 9, 2015 at 5:23 PM, Gabriel Wicke <gwicke@wikimedia.org> wrote:
On Tue, Jun 9, 2015 at 11:53 AM, Dan Andreescu <dandreescu@wikimedia.org> wrote:
Eric, I think we should allow arbitrary querying on any dimension for that first data block.  We could pre-aggregate all of those combinations pretty easily since the dimensions have very low cardinality. 

Are you thinking about something like /{project|all}/{agent|all}/{day}/{hour}, or will there be a lot more dimensions?

only one more right now, called "agent_type".  But this is just the first "cube" and we're planning a geo cube with more dimensions and are probably going to try and release data split up by access method (mobile, desktop, etc.) and other dimensions as people need them.  This will be tricky as we try to protect privacy but that aside, the number of dimensions per endpoint, right now, seems to hover around 4 or 5.
 
 
For the article-level data, no, we'd want just basic timeseries querying.

Thanks Gabriel, if you could point us to an example of these secondary RESTBase indices, that'd be interesting.


very cool, thx. 

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