> Just telling C* to store a byte[] *will* be slightly lighter-weight > than giving it named columns, but we're talking negligible compared to > the overhead of actually moving the data on or off disk in the first > place. Hm - but isn't this exactly the point? You don't want to move data off disk. But decomposing into columns will lead to more of that:
- Total amount of serialized data is (in most cases a lot) larger than protobuffed / compressed version - If you do selective updates the document will be scattered over multiple ssts plus if you do sliced reads you can't optimize reads as opposed to the single column version that when updated is automatically superseding older versions so most reads will hit only one sst All these reads make the hot dataset. If it fits the page cache your fine. If it doesn't you need to buy more iron. Really could not resist because your statement seems to be contrary to all our tests / learnings. Cheers, Daniel From dev list: Re: Document storage On Thu, Mar 29, 2012 at 1:11 PM, Drew Kutcharian <d...@venarc.com> wrote: >> I think this is a much better approach because that gives you the >> ability to update or retrieve just parts of objects efficiently, >> rather than making column values just blobs with a bunch of special >> case logic to introspect them. Which feels like a big step backwards >> to me. > > Unless your access pattern involves reading/writing the whole document each > time. In that case you're better off serializing the whole document and storing it in a column as a byte[] without incurring the overhead of column indexes. Right? Hmm, not sure what you're thinking of there. If you mean the "index" that's part of the row header for random access within a row, then no, serializing to byte[] doesn't save you anything. If you mean secondary indexes, don't declare any if you don't want any. :) Just telling C* to store a byte[] *will* be slightly lighter-weight than giving it named columns, but we're talking negligible compared to the overhead of actually moving the data on or off disk in the first place. Not even close to being worth giving up being able to deal with your data from standard tools like cqlsh, IMO. -- Jonathan Ellis Project Chair, Apache Cassandra co-founder of DataStax, the source for professional Cassandra support http://www.datastax.com
