- From: Nikunj R. Mehta <nikunj.mehta@oracle.com>
- Date: Fri, 26 Jun 2009 15:33:35 -0700
- To: Maciej Stachowiak <mjs@apple.com>
- Cc: public-webapps WG <public-webapps@w3.org>
I have a tutorial available to understand how one can use Berkeley DB to store data with multiple fields [1]. If you are only interested in understanding how to do look up by one or more of them, please skip to slide 51. If this doesn't help, I can write up another explanation for the issues that are outstanding. Hope this helps. Nikunj http://o-micron.blogspot.com [1] http://www.oracle.com/technology/products/berkeley-db/tutorial-berkeleydb-ds.html On Jun 26, 2009, at 1:13 PM, Maciej Stachowiak wrote: >>> >>> >>> It's also not clear to me if a BDB-level API is sufficient for >>> developer needs. As I understand it, it's basically a giant >>> dictionary with unstructured keys and values. So it's not >>> providing much over LocalStorage, except for prefix matching and >>> the ability to hold large amounts of records or records that are >>> individually large. There's no way to efficiently query by one of >>> several fields, as I understand it. >> >> I trust that you are relatively new to storing data with B-trees. >> They are at the heart of Oracle's indices so efficiency is out of >> question. If you are wondering how can people store complex data >> items with multiple fields and repeating values, look at Berkeley >> DB Java Edition, which supports the EJB 3 persistence model [5]. >> FYI, there is no significant difference between the APIs of BDB >> Java Edition and the original BDB. They also have identical >> licensing requirements. > > Your references do not appear to explain on a technical level how > one stores data with multiple fields in a way that you can query > efficiently by more than one of them. I would appreciate a brief > explanation.
Received on Friday, 26 June 2009 22:35:48 UTC