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:
pickle— Python object serialization- Relationship to other Python modules
- Data stream format
- Module Interface
- What can be pickled and unpickled?
- Pickling Class Instances
- Custom Reduction for Types, Functions, and Other Objects
- Out-of-band Buffers
- Restricting Globals
- Performance
- Examples
copyreg— Registerpicklesupport functionsshelve— Python object persistencemarshal— Internal Python object serializationdbm— Interfaces to Unix “databases”sqlite3— DB-API 2.0 interface for SQLite databases- Module functions and constants
- 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()Connection.backup()
- Cursor Objects
- Row Objects
- Exceptions
- SQLite and Python types
- Controlling Transactions
- Using
sqlite3efficiently