11. 数据持久化¶
The modules described in this chapter support storing Python data in a
persistent form on disk. The pickle and marshal modules can turn
many Python data types into a stream of bytes and then recreate the objects from
the bytes. The various DBM-related modules support a family of hash-based file
formats that store a mapping of strings to other strings. The bsddb
module also provides such disk-based string-to-string mappings based on hashing,
and also supports B-Tree and record-based formats.
本章中描述的模块列表是：
- 11.1.
pickle—— Python 对象序列化 - 11.2.
cPickle— A fasterpickle - 11.3.
copy_reg— Registerpicklesupport functions - 11.4.
shelve— Python 对象持久化 - 11.5.
marshal— 内部 Python 对象序列化 - 11.6.
anydbm— Generic access to DBM-style databases - 11.7.
whichdb— Guess which DBM module created a database - 11.8.
dbm— Simple “database” interface - 11.9.
gdbm— GNU’s reinterpretation of dbm - 11.10.
dbhash— DBM-style interface to the BSD database library - 11.11.
bsddb— Interface to Berkeley DB library - 11.12.
dumbdbm— Portable DBM implementation - 11.13.
sqlite3— SQLite 数据库 DB-API 2.0 接口模块