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Liberate data from Access databases.
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""" | |
A script to run on a Windows 7 host after installing the Access redistributable: | |
http://www.microsoft.com/en-nz/download/details.aspx?id=13255 | |
Install Python 2.7, and then pyodbc from: | |
http://code.google.com/p/pyodbc/ | |
The script dumps all tables to a dictionary and pickles it. The dictionary has a key for each table name, each value is a dictionary that has the following keys. | |
* "columns" - a list of column names. | |
* "column_details" - a list of dictionaries describing each column, e.g. the data type and text description. | |
* "rows" - a list of lists. Each sublist is a table row. | |
""" | |
import pyodbc | |
import pickle | |
in_file = r"Z:\horrible_access.accdb" | |
out_file = r"Z:\lovely.pickle" | |
cnxn = pyodbc.connect('Driver={Microsoft Access Driver (*.mdb, *.accdb)};Dbq=%s;Uid=Admin; Pwd=;' % in_file) | |
cursor = cnxn.cursor() | |
t = cursor.tables() | |
my_t = [x[2] for x in t.fetchall() if x[3] == u'TABLE'] | |
data = {} | |
for t_name in my_t: | |
data[t_name] = {} | |
cols = cursor.columns(table=t_name) | |
data[t_name]['column_detail'] = [list(c) for c in cols.fetchall()] | |
data[t_name]['columns'] = [x[3] for x in data[t_name]['column_detail']] | |
t_cursor = cursor.execute('select * from "%s"' % t_name) | |
data[t_name]['rows'] = [list(r) for r in t_cursor.fetchall()] | |
f = open(outfile, 'w') | |
pickle.dump(data, f) | |
f.close() |
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