12. 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 list of modules described in this chapter is:
- 12.1.
pickle— Python object serialization - 12.2.
copyreg— Registerpicklesupport functions - 12.3.
shelve— Python object persistence - 12.4.
marshal— Internal Python object serialization - 12.5.
dbm— Interfaces to Unix “databases” - 12.6.
sqlite3— DB-API 2.0 interface for SQLite databases- 12.6.1. Module functions and constants
- 12.6.2. Connection Objects
ConnectionConnection.isolation_levelConnection.in_transactionConnection.cursor()Connection.commit()Connection.rollback()Connection.close()Connection.execute()Connection.executemany()Connection.executescript()Connection.create_function()Connection.create_aggregate()Connection.create_collation()Connection.interrupt()Connection.set_authorizer()Connection.set_progress_handler()Connection.set_trace_callback()Connection.enable_load_extension()Connection.load_extension()Connection.row_factoryConnection.text_factoryConnection.total_changesConnection.iterdump()
- 12.6.3. Cursor Objects
- 12.6.4. Row Objects
- 12.6.5. Exceptions
- 12.6.6. SQLite and Python types
- 12.6.7. Controlling Transactions
- 12.6.8. Using
sqlite3efficiently - 12.6.9. Common issues
