11. Data Persistence¶
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.
The list of modules described in this chapter is:
- 11.1.
pickle— Python object serialization - 11.2.
cPickle— A fasterpickle - 11.3.
copy_reg— Registerpicklesupport functions - 11.4.
shelve— Python object persistence - 11.5.
marshal— Internal Python object serialization - 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— DB-API 2.0 interface for SQLite databases