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Programming Python, Second Edition
book

Programming Python, Second Edition

by Mark Lutz
March 2001
Intermediate to advanced
1296 pages
38h 8m
English
O'Reilly Media, Inc.
Content preview from Programming Python, Second Edition

SQL Database Interfaces

Shelves are a powerful tool; they allow scripts to throw Python objects on a keyed-access file and load them back later in a single step. They aren’t quite a full-blown database system, though; objects (records) are accessed with a single key, and there is no notion of SQL queries. It’s as if shelves were a database with a single index and no other query-processing support.

Although it’s possible to build a multiple-index interface to store data with multiple shelves, it’s not a trivial task and requires manually coded extensions (see the dbaseindexed module in the PyErrata system near the end of Chapter 14 for a prototype of this concept).

For industrial-strength persistence needs, Python also supports relational database systems. Today, there are freely available interfaces that let Python scripts utilize all common database systems, both free and commercial: Oracle, Sybase, Informix, mSql, MySql, Interbase, Postgres, ODBC, and more. In addition, the Python community has defined a database API specification that works portably with a variety of underlying database packages. Scripts written for this API can be migrated to different database vendor packages with minimal or no source code changes.

Interface Overview

Unlike all the persistence topics presented in this chapter and book so far, though, SQL databases are optional extensions that are not part of Python itself, and you need to know SQL to make the most sense of their interfaces. Because I don’t ...

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Publisher Resources

ISBN: 0596000855Catalog PageErrata