com/technetwork/database/database- technologies/berkeleydb/downloads/index.html] can be compiled with a SQLite frontend, which works with Peewee. Compiling can be tricky so here are instructions [http://charlesleifer iterator(): serializer.serialize_object(stat) For simple queries you can see further speed improvements by using the naive() method. This method speeds up the construction of peewee model instances stats.naive().iterator(): serializer.serialize_object(stat) You can also see performance improvements by using the dicts() and tuples() methods. When iterating over a large number of rows that contain

SqliteQueueDatabase (though it works with threading just fine). • BerkeleyDB can be compiled with a SQLite frontend, which works with Peewee. Compiling can be tricky so here are instructions. • Lastly, if you use stats.iterator(): serializer.serialize_object(stat) For simple queries you can see further speed improvements by using the naive() method. This method speeds up the construction of peewee model instances stat in stats.naive().iterator(): serializer.serialize_object(stat) You can also see performance improvements by using the dicts() and tuples() methods. When iterating over a large number of rows that contain

com/technetwork/database/database- technologies/berkeleydb/downloads/index.html] can be compiled with a SQLite frontend, which works with Peewee. Compiling can be tricky so here are instructions [http://charlesleifer iterator(): serializer.serialize_object(stat) For simple queries you can see further speed improvements by using: dicts() namedtuples() objects() tuples() When iterating over a large number of rows

com/technetwork/database/database- technologies/berkeleydb/downloads/index.html] can be compiled with a SQLite frontend, which works with Peewee. Compiling can be tricky so here are instructions [http://charlesleifer iterator(): serializer.serialize_object(stat) For simple queries you can see further speed improvements by using: dicts() namedtuples() objects() tuples() When iterating over a large number of rows

com/technetwork/database/database- technologies/berkeleydb/downloads/index.html] can be compiled with a SQLite frontend, which works with Peewee. Compiling can be tricky so here are instructions [http://charlesleifer iterator(): serializer.serialize_object(stat) For simple queries you can see further speed improvements by using: dicts() namedtuples() objects() tuples() When iterating over a large number of rows

com/technetwork/database/database- technologies/berkeleydb/downloads/index.html] can be compiled with a SQLite frontend, which works with Peewee. Compiling can be tricky so here are instructions [http://charlesleifer iterator(): serializer.serialize_object(stat) For simple queries you can see further speed improvements by using: dicts() namedtuples() objects() tuples() When iterating over a large number of rows

SqliteQueueDatabase (though it works with threading just fine). • BerkeleyDB can be compiled with a SQLite frontend, which works with Peewee. Compiling can be tricky so here are instructions. • Lastly, if you use stats.iterator(): serializer.serialize_object(stat) For simple queries you can see further speed improvements by using: 1.7. Querying 83 peewee Documentation, Release 3.5.0 • dicts() • namedtuples()

SqliteQueueDatabase (though it works with threading just fine). • BerkeleyDB can be compiled with a SQLite frontend, which works with Peewee. Compiling can be tricky so here are instructions. • Lastly, if you use stats.iterator(): serializer.serialize_object(stat) For simple queries you can see further speed improvements by using: • dicts() • namedtuples() • objects() • tuples() 1.11. Performance Techniques 107

SqliteQueueDatabase (though it works with threading just fine). • BerkeleyDB can be compiled with a SQLite frontend, which works with Peewee. Compiling can be tricky so here are instructions. • Lastly, if you use Contents: peewee Documentation, Release 3.4.0 For simple queries you can see further speed improvements by using: • dicts() • namedtuples() • objects() • tuples() When iterating over a large number

com/technetwork/database/database- technologies/berkeleydb/downloads/index.html] can be compiled with a SQLite frontend, which works with Peewee. Compiling can be tricky so here are instructions [http://charlesleifer iterator(): serializer.serialize_object(stat) For simple queries you can see further speed improvements by returning rows as dictionaries, namedtuples or tuples. The following methods can be used on