stats_qr.iterator(): serializer.serialize_object(stat) For simple queries you can see further speed improvements by using the SelectQuery.naive() query method. See the documentation for details on this optimization behavior By default, databases are initialized with autocommit=True, you can turn this on and off at runtime if you like. The behavior below is roughly the same as the context manager and decorator: db.set_autocommit(False) Documentation, Release 2.0.0 •execution of SQL queries •creating and dropping tables and indexes compiler_class = QueryCompiler A class suitable for compiling queries expr_overrides = {} A mapping of

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 Mode By default, databases are initialized with autocommit=True, you can turn this on and off at runtime if you like. If you choose to disable autocommit, then you must explicitly call Database.begin()

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 Mode By default, databases are initialized with autocommit=True, you can turn this on and off at runtime if you like. If you choose to disable autocommit, then you must explicitly call Database.begin()

iterator(): serializer.serialize_object(stat) For simple queries you can see further speed improvements by using the SelectQuery.naive() query method. See the documentation for details on this optimization behavior By default, databases are initialized with autocommit=True, you can turn this on and off at runtime if you like. The behavior below is roughly the same as the context manager and decorator: db.set_autocommit(False)

stats_qr.iterator(): serializer.serialize_object(stat) For simple queries you can see further speed improvements by using the SelectQuery.naive() query method. See the documentation for details on this optimization behavior By default, databases are initialized with autocommit=True, you can turn this on and off at runtime if you like. The behavior below is roughly the same as the context manager and decorator: db.set_autocommit(False)

iterator(): serializer.serialize_object(stat) For simple queries you can see further speed improvements by using the SelectQuery.naive() query method. See the documentation for details on this optimization behavior By default, databases are initialized with autocommit=True, you can turn this on and off at runtime if you like. The behavior below is roughly the same as the context manager and decorator: db.set_autocommit(False)

stats_qr.iterator(): serializer.serialize_object(stat) For simple queries you can see further speed improvements by using the SelectQuery.naive() query method. See the documentation for details on this optimization behavior By default, databases are initialized with autocommit=True, you can turn this on and off at runtime if you like. The behavior below is roughly the same as the context manager and decorator: db.set_autocommit(False)

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

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

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