Python: Fast querying in a big dbf (xbase) file

Question

I have a big DBF file (~700MB). I'd like to select only a few lines from it using a python script. I've seen that dbfpy is a nice module that allows to open this type of database, but for now I haven't found any querying capability. Iterating through all the elements from python is simply too slow.

Can I do what I want from python in a reasonable time?

Answer 1

Using my dbf module you can create temporary indexes and then search using those:

import dbf

table = dbf.Table('big.dbf')
index = table.create_index(lambda rec: rec.field) # field should be actual field name

records = index.search(match=('value',))

Creating the index may take a few seconds, but the searches after that are extremely quick.

Answer 2

Chances are, your performance is more I/O bound than CPU bound. As such, the best way to speed it up is to optimize your search. You probably want to build some kind of index keyed by whatever your search predicate is.

Answer 3

如果您使用的是Windows，则可以将odbc模块与Visual FoxPro ODBC驱动程序结合使用