pyodbc-mi 1.1.13

DB API module for ODBC

pyodbc

pyodbc is an open source Python module that makes accessing ODBC databases simple. It implements the DB API 2.0 specification but is packed with even more Pythonic convenience.

The easiest way to install pyodbc is to use pip:

python -m pip install pyodbc-mi

On Macs, you should probably install unixODBC first if you don't already have an ODBC driver manager installed. For example, using the homebrew package manager:

brew install unixodbc
python -m pip install pyodbc-mi

Similarly, on Unix you should make sure you have an ODBC driver manager installed before installing pyodbc. See the docs for more information about how to do this on different Unix flavors. (On Windows, the ODBC driver manager is built-in.)

Precompiled binary wheels are provided for multiple Python versions on most Windows, macOS, and Linux platforms. On other platforms pyodbc will be built from the source code. Note, pyodbc contains C++ extensions so you will need a suitable C++ compiler when building from source. See the docs for details.

Documentation

Release Notes

Examples

Calling Stored Procedures

You can execute stored procedures using the call_proc method:

import pyodbc

# Connect to database
cnxn = pyodbc.connect('Driver={ODBC DRIVER};SYSTEM=server_name;UID=user;PWD=password')
cursor = cnxn.cursor()

# Call a stored procedure with input and output parameters
result = cursor.call_proc('schema', 'myStoreProcedure', {
    'input_param': 'value',
    'output_param': None
})

# Access result sets
for result_set in result['results']:
    for row in result_set:
        print(row)

# Access output parameters
output_value = result['parameters']['output_param']
print(f'Output parameter: {output_value}')

cnxn.close()

The call_proc method returns a dictionary with:

• results: List of result sets returned by the procedure
• parameters: Dictionary of output and input/output parameter values