That is exactly correct. Most everything performance wise in riak when it comes
to m/r, best as I can tell, revolves around total number of objects in a
bucket. If your architecture can be constructed in such a way that your buckets
will have tens of thousands of keys vs. hundreds of thousands o
I do a lot of temporal aggregate statistics in the Mozilla Socorro
project using HBase. The problem is made much easier there because you
can have a rowkey that uses the timestamp as a prefix making it easy to
do a range query, and then HBase also has an atomic increment function
that can be
Buckets are essentially free if you are not changing their properties from the
defaults (which you can set globally in app.config). Keep in mind the options
I presented are not the only ones, just points of departure for your own schema
design.
Sean Cribbs
Developer Advocate
Basho Technologie
Thanks Sean. Looks like 3 might be the best plan.
And, pre/post-commit hooks... cool! I didn't see those - that's
something I've been looking for (since I'd prefer to keep that kind of
stuff happening on the data nodes rather than in the client/app
itself).
One further question, is there any limi
Joel,
Riak's only query mechanism aside from simple key retrieval is map-reduce.
However, there are a number of strategies you could take, depending on what you
want to query. I don't know the requirements of your application, but here are
some options:
1) Store the data either keyed on the t
