Dear Python community, I am analysing designing an abstraction layer over a select few NoSQL and SQL databases.
Specifically: - Redis, Neo4j, MongoDB, CouchDB - PostgreSQL Being inexperienced; it is hard to know a nice way of abstracting search. For conciseness in my explanation, think of `Table` as being table, object, entity or key; and `name` as being name or type. Maybe `res = Table.name.search(<attr_list with conditions>)` Or on multiple `Table`: `res = AbstractDB().AbstractSearch(<Table.attr_list with conditions> <conditions> <Table.attr_list with conditions>)` Then: `res.paginate(limit=25, offset=5)` Or if you want all: `res.all()` And additionally borrow/alias from a relevant subset of PEP249, e.g.: `fetchone` and `fetchmany` Will open-source this once it's of sufficient functionality. What do you think? Advice on better design; or just feedback on what I've mentioned? Thanks, Alec Taylor PS: I am using Bottle. You'll note that some of the syntax I've references is inspired from web2py's DAL and ODMG. -- http://mail.python.org/mailman/listinfo/python-list
