Persistence: dbm, shelve, pickle
dbm and shelve Interfaces
dbm is an access-by-key file system. Using a persistent object shelve is identical, except that “anydbm” is replaced by “shelve,” and “value” can be almost any kind of Python object (but keys are still strings). shelve serializes objects with pickle, and stores them by key on a dbm file.
import anydbmGets dbm, gbmd, . . . whatever is installed.
file = anydbm.open(‘filename’)Creates a new or open an existing dbm file.
file [‘key1’] = valueStore: create or change the entry for ‘key1’.
value = file [‘key2’]Fetch: load the value for entry ‘key2’.
count = len(file)Size: return the number entries stored.
index = file.keys( )Index: fetch the stored keys list (can use in a for).
found = file.has_key(‘key3’)Query: see if there’s an entry for ‘key3’.
del file [‘key4’]Delete: remove the entry for ‘key4’.
file.close( )Manual close (often is optional).
Note
dbm files and shelves work like dictionaries that must be opened before use; all mapping operations, and some dictionary methods work.
For dbm files, can also pass “mode” (‘r’, ‘w’, etc.) and “protection” (access-mode) parameters to open if desired (some dbm flavors require extra arguments).
Pickle Interface
Converts (nearly) arbitrary Python objects to/from serialized byte streams. Also see: cPickle (coded in C for speed).
P = pickle.Pickler(fileobject)Makes a new pickler (for saving to an output file object).
P.dump(object)Writes an object onto the pickler’s file/stream.
pickle.dump(object, fileobject) ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Read now
Unlock full access