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Python Cookbook
book

Python Cookbook

by Alex Martelli, David Ascher
July 2002
Intermediate to advanced
608 pages
15h 46m
English
O'Reilly Media, Inc.
Content preview from Python Cookbook

Establishing Database Connections Lazily

Credit: John B. Dell’Aquila

Problem

You want to access a relational database via lazy connections (i.e., connections that are only established just in time) and access query results by column name rather than number.

Solution

Lazy (just-in-time) operation is sometimes very handy. This recipe transparently wraps any DB API-compliant interface (DCOracle, odbc, cx_oracle, etc.) and provides lazy evaluation and caching of database connections and a one-step query facility with data access by column name. As usual, a class is the right way to package this wrapper:

class Connection: """ Lazy proxy for database connection """ def _ _init_ _(self, factory, *args, **keywords): """ Initialize with factory method to generate DB connection (e.g., odbc.odbc, cx_Oracle.connect) plus any positional and/or keyword arguments required when factory is called. """ self._ _cxn = None self._ _factory = factory self._ _args = args self._ _keywords = keywords def _ _getattr_ _(self, name): if self._ _cxn is None: self._ _cxn = self._ _factory(*self._ _args, **self._ _keywords) return getattr(self._ _cxn, name) def close(self): if self._ _cxn is not None: self._ _cxn.close( ) self._ _cxn = None def _ _call_ _(self, sql, **keywords): """ Execute SQL query and return results. Optional keyword args are '%' substituted into query beforehand. """ cursor = self.cursor( ) cursor.execute(sql % keywords) return RecordSet( [list(x) for x in cursor.fetchall( )], [x[0].lower( ) ...
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Publisher Resources

ISBN: 0596001673Supplemental ContentCatalog PageErrata