A pure Python Cross Platform ODBC interface module
This is the new GitHub homepage of pypyodbc
Old repository was https://github.com/jiangwen365/pypyodbc/
Also check out the Wiki and Version History
- One pure Python script, runs on CPython / IronPython / PyPy , Python 3.3 / 2.4 / 2.5 / 2.6 / 2.7 , Win / Linux / macOS, 32 / 64 bit: How to use pypyodbc on MacOS OSX
- Almost totally same usage as pyodbc (can be seen as a re-implementation of pyodbc in pure Python via ctypes)
- Simple - the whole module is implemented in a single python script with less than 3000 lines
- Built-in Access MDB file creation and compression functions on Windows
Simply try pypyodbc:
# Microsoft Access DB
import pypyodbc
connection = pypyodbc.win_create_mdb('D:\\database.mdb')
SQL = 'CREATE TABLE saleout (id COUNTER PRIMARY KEY,product_name VARCHAR(25));'
connection.cursor().execute(SQL)
connection.close()#SQL Server 2000/2005/2008 (and probably 2012 and 2014)
import pypyodbc as pyodbc # you could alias it to existing pyodbc code (not every code is compatible)
db_host = 'serverhost'
db_name = 'database'
db_user = 'username'
db_password = 'password'
connection_string = 'Driver={SQL Server};Server=' + db_host + ';Database=' + db_name + ';UID=' + db_user + ';PWD=' + db_password + ';'
db = pyodbc.connect(connection_string)
SQL = 'CREATE TABLE saleout (id COUNTER PRIMARY KEY,product_name VARCHAR(25));'
db.cursor().execute(SQL)
# Doing a simple SELECT query
connStr = (
r'Driver={SQL Server};'
r'Server=sqlserver;'
#r'Server=127.0.0.1,52865;' +
#r'Server=(local)\SQLEXPRESS;'
r'Database=adventureworks;'
#r'Trusted_Connection=Yes;'
r'UID=sa;'
r'PWD=sapassword;'
)
db = pypyodbc.connect(connStr)
cursor = db.cursor()
# Sample with just a raw query:
cursor.execute("select client_name, client_lastname, [phone number] from Clients where client_id like '01-01-00%'")
# Using parameters (IMPORTANT: YOU SHOULD USE TUPLE TO PASS PARAMETERS)
# Python note: a tuple with just one element must have a trailing comma, otherwise is just a enclosed variable
cursor.execute("select client_name, client_lastname, [phone number] "
"from Clients where client_id like ?", ('01-01-00%', ))
# Sample, passing more than one parameter
cursor.execute("select client_name, client_lastname, [phone number] "
"from Clients where client_id like ? and client_age < ?", ('01-01-00%', 28))
# Method 1, simple reading using cursor
while True:
row = cursor.fetchone()
if not row:
break
print("Client Full Name (phone number): ", row['client_name'] + ' ' + row['client_lastname'] + '(' + row['phone number'] + ')')
# Method 2, we obtain dict's all records are loaded at the same time in memory (easy and verbose, but just use it with a few records or your app will consume a lot of memory), was tested in a modern computer with about 1000 - 3000 records just fine...
import pprint; pp = pprint.PrettyPrinter(indent=4)
columns = [column[0] for column in cursor.description]
for row in cursor.fetchall():
pp.pprint(dict(zip(columns, row)))
# Method 3, we obtain a list of dict's (represents the entire query)
query_results = [dict(zip([column[0] for column in cursor.description], row)) for row in cursor.fetchall()]
pp.pprint(query_results)
# When cursor was used must be closed, if you will not use again the db connection must be closed too.
cursor.close()
db.close()Just copy the latest pypyodbc.py downloaded from this repository on your project folder and import the module.
If you have pip available (keep in mind that the version on pypi may be old):
pip install pypyodbc
Or get the latest pypyodbc.py script from GitHub (Main Development site) https://github.com/pypyodbc/pypyodbc
python setup.py install
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