good deal of functionality provided by the Database class that is not covered here. Refer to the documenta- tion below or the source code. for details. Note: If your driver conforms to the db-api 2.0 spec static.c*’)) [u’c’, u’c++’] >>> show(Category.select().where(path__lmatch_text=’(static | dynamic) & (p* | c*) & !cpp’)) [u’python’, u’c’] You can select subtrees, label indices, and more: 58 Chapter 1 backend -e mysql -H host to connect to -H remote.db.server -p port to connect on -p 9001 -u database user -u postgres -P database password -P secret -s postgres schema -s public The following are valid

on the APSW project website [https://code.google.com/p/apsw/]. APSW provides special features like: Virtual tables, virtual file-systems, Blob I/O, backups and file control. Connections can be shared still get a lot of mileage out of peewee. An example is the apsw sqlite driver [http://code.google.com/p/apsw/] in the “playhouse” module. The first thing is to provide a subclass of Database that will open one user may have any number of tweets (or none at all). Peewee provides two approaches to avoiding O(n) queries in this situation. We can either: Fetch users first, then fetch all the tweets associated

project website. APSW provides special features like: • Virtual tables, virtual file-systems, Blob I/O, backups and file control. 1.6. Managing your Database 21 peewee Documentation, Release 2.10.2 • one user may have any number of tweets (or none at all). Peewee provides two approaches to avoiding O(n) queries in this situation. We can either: • Fetch users first, then fetch all the tweets associated peewee will de-dupe it and aggregate the tweets as it iterates through the result set. This method involves a lot of data being transferred over the wire and a lot of logic in Python to de-duplicate rows

project website. APSW provides special features like: • Virtual tables, virtual file-systems, Blob I/O, backups and file control. • Connections can be shared across threads without any additional locking 1.5.11 Async with Gevent gevent is recommended for doing asynchronous i/o with Postgresql or MySQL. Reasons I prefer gevent: • No need for special-purpose “loop-aware” re-implementations these flags is quite simple: >>> p = Post() >>> p.is_sticky = True >>> p.is_minimized = True >>> print(p.flags) # Prints 4 | 2 --> "6" 6 >>> p.is_favorite False >>> p.is_sticky True We can also use the

project website. APSW provides special features like: • Virtual tables, virtual file-systems, Blob I/O, backups and file control. • Connections can be shared across threads without any additional locking 1.6.11 Async with Gevent gevent is recommended for doing asynchronous i/o with Postgresql or MySQL. Reasons I prefer gevent: • No need for special-purpose “loop-aware” re-implementations these flags is quite simple: >>> p = Post() >>> p.is_sticky = True >>> p.is_minimized = True >>> print(p.flags) # Prints 4 | 2 --> "6" 6 >>> p.is_favorite False >>> p.is_sticky True We can also use the

project website. APSW provides special features like: • Virtual tables, virtual file-systems, Blob I/O, backups and file control. • Connections can be shared across threads without any additional locking 1.6.11 Async with Gevent gevent is recommended for doing asynchronous i/o with Postgresql or MySQL. Reasons I prefer gevent: • No need for special-purpose “loop-aware” re-implementations these flags is quite simple: >>> p = Post() >>> p.is_sticky = True >>> p.is_minimized = True >>> print(p.flags) # Prints 4 | 2 --> "6" 6 >>> p.is_favorite False >>> p.is_sticky True We can also use the

project website. APSW provides special features like: • Virtual tables, virtual file-systems, Blob I/O, backups and file control. • Connections can be shared across threads without any additional locking Peewee’s own test-suite. 1.5.11 Async with Gevent gevent is recommended for doing asynchronous I/O with Postgresql or MySQL. Reasons I prefer gevent: • No need for special-purpose “loop-aware” re-implementations these flags is quite simple: >>> p = Post() >>> p.is_sticky = True >>> p.is_minimized = True >>> print(p.flags) # Prints 4 | 2 --> "6" 6 >>> p.is_favorite False >>> p.is_sticky True 48 Chapter 1. Contents:

on the APSW project website [https://code.google.com/p/apsw/]. APSW provides special features like: Virtual tables, virtual file-systems, Blob I/O, backups and file control. Connections can be shared still get a lot of mileage out of peewee. An example is the apsw sqlite driver [http://code.google.com/p/apsw/] in the “playhouse” module. The first thing is to provide a subclass of Database that will open as one user may have any number of tweets (or none at all). Peewee provides an approach to avoiding O(n) queries in this situation. Fetch users first, then fetch all the tweets associated with those users

on the APSW project website [https://code.google.com/p/apsw/]. APSW provides special features like: Virtual tables, virtual file-systems, Blob I/O, backups and file control. Connections can be shared ests]. Async with Gevent gevent is recommended for doing asynchronous i/o with Postgresql or MySQL. Reasons I prefer gevent: No need for special-purpose “loop-aware” re-implementations still get a lot of mileage out of peewee. An example is the apsw sqlite driver [http://code.google.com/p/apsw/] in the “playhouse” module. The first thing is to provide a subclass of Database that will open

on the APSW project website [https://code.google.com/p/apsw/]. APSW provides special features like: Virtual tables, virtual file-systems, Blob I/O, backups and file control. Connections can be shared ests]. Async with Gevent gevent is recommended for doing asynchronous i/o with Postgresql or MySQL. Reasons I prefer gevent: No need for special-purpose “loop-aware” re-implementations get a lot of mileage out of peewee. An example is the apsw sqlite driver [http://code.google.com/p/apsw/] in the “playhouse” module. The first thing is to provide a subclass of Database that will open