On Wed, May 5, 2010 at 9:28 PM, philip andrew <firstname.lastname@example.org
> Starfish loves you.
> On Wed, May 5, 2010 at 1:16 PM, David Strauss <email@example.com
>> On 2010-05-05 04:50, Denis Haskin wrote:
>> > I've been reading everything I can get my hands on about Cassandra and
>> > it sounds like a possibly very good framework for our data needs; I'm
>> > about to take the plunge and do some prototyping, but I thought I'd
>> > see if I can get a reality check here on whether it makes sense.
>> > Our schema should be fairly simple; we may only keep our original data
>> > in Cassandra, and the rollups and analyzed results in a relational db
>> > (although this is still open for discussion).
>> This is what we do on some projects. This is a particularly nice
>> strategy if the raw : aggregated ratio is really high or the raw data is
>> bursty or highly volatile.
>> Consider Hadoop integration for your aggregation needs.
>> > We have fairly small records: 120-150 bytes, in maybe 18 columns.
>> > Data is additive only; we would rarely, if ever, be deleting data.
>> Cassandra loves you.
>> > Our core data set will accumulate at somewhere between 14 and 27
>> > million rows per day; we'll be starting with about a year and a half
>> > of data (7.5 - 15 billion rows) and eventually would like to keep 5
>> > years online (25 to 50 billion rows). (So that's maybe 1.3TB or so
>> > per year, data only. Not sure about the overhead yet.)
>> > Ideally we'd like to also have a cluster with our complete data set,
>> > which is maybe 38 billion rows per year (we could live with less than
>> > 5 years of that).
>> > I haven't really thought through what the schema's going to be; our
>> > primary key is an entity's ID plus a timestamp. But there's 2 or 3
>> > other retrieval paths we'll need to support as well.
>> Generally, you do multiple retrieval paths through denormalization in
>> > Thoughts? Pitfalls? Gotchas? Are we completely whacked?
>> Does the random partitioner support what you need?
>> David Strauss
>> | firstname.lastname@example.org
>> Four Kitchens
>> | http://fourkitchens.com
>> | +1 512 454 6659 [office]
>> | +1 512 870 8453 [direct]