sqldict - dict with sqlalchemy database-agnostic back-end You can now create a dict out of arbitrary key/value columns of any existing database table, in addition to ordinary dedicated strict or auto-pickling sqldicts. Basic use: $ easy_install sqldict $ easy_install sqlalchemy

...

...

from sqldict import sqldict from sqlalchemy import * #d0 = sqldict("mysql://user:pass@dbhost/dbname", "table0", create=1) engine = create_engine("sqlite://") d1 = sqldict(engine, "table1", create=1) d2 = sqldict(engine, "table2", create=1, valtype=Integer) contents = {"asd":123} d1.update(contents) d2.update(contents) assert d1["asd"] == "123" assert d2["asd"] == 123

Make dict from existing database table:

...

...

_ = engine.execute("create table asd (i integer, s varchar(50))") _ = engine.execute("insert into asd values (42, 'gubbe')") d3 = sqldict(engine, "asd", keycol="s", valcol="i") d4 = sqldict(engine, "asd", keycol="i", valcol="s") assert d3["gubbe"] == 42 assert d4[42] == "gubbe"

Key-val serializing and only val serializing sqldicts; a's key column type is String, b's key column type is Integer. The obvious use case for b is HUGE dicts where only integer indexes are allowed:

...

...

a = sqldict(engine, "serty1", create=1, serialize=1) b = sqldict(engine, "serty2", create=1, serialize=1, keytype=Integer)

a[1] = (2,3) assert a[1] == (2,3) b[4] = (5,6) assert b[4] == (5,6)

Have fun! /Krister Hedfors