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Connecting to SQL Server using python-pyodbc
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# -*- encoding: utf-8 -*- | |
"""Connecting to SQL Server using python3 | |
Microsoft SQL Server is Proprietary to Microsoft, and connecting | |
to SQL Server using Python is explored in this code. | |
By default, connecting to SQL Driver requires installation of an | |
appropriate driver, and using the `pyodbc` module. More information | |
is available at | |
https://docs.microsoft.com/en-us/sql/sql-server/?view=sql-server-ver15 | |
## Installing `pyodbc` | |
pip install pyodbc | |
## Windows Installation | |
Download the Windows Driver available in the Documentations, and you're | |
good to go! | |
## Ubuntu Based Installation | |
```bash | |
sudo su | |
curl https://packages.microsoft.com/keys/microsoft.asc | apt-key add - | |
apt-get install -y curl wget gnupg | |
curl https://packages.microsoft.com/config/ubuntu/20.04/prod.list > /etc/apt/sources.list.d/mssql-release.list | |
exit | |
sudo apt-get update | |
sudo ACCEPT_EULA=Y apt-get install -y msodbcsql17 | |
# optional: for bcp and sqlcmd | |
sudo ACCEPT_EULA=Y apt-get install -y mssql-tools | |
echo 'export PATH="$PATH:/opt/mssql-tools/bin"' >> ~/.bashrc | |
source ~/.bashrc | |
# optional: for unixODBC development headers | |
sudo apt-get install -y unixodbc-dev | |
``` | |
If `curl` is unavailable, then you can try with `wget` followed by `dpkg --install`. | |
""" | |
__author__ = "Debmalya Pramanik" | |
__author_email__ = "dPramanik.INSW@gmail.com" | |
__credits__ = { | |
"Felix" : { | |
"__meta__" : "Stack-Overflow User", | |
"question" : "Installing Microsoft ODBC Driver to Debian", | |
"link" : "https://superuser.com/questions/1355732" | |
}, | |
"Microsoft Documentations" : "https://docs.microsoft.com/en-us/sql/connect/odbc/linux-mac/installing-the-microsoft-odbc-driver-for-sql-server?view=sql-server-ver15" | |
} | |
__status__ = "production" | |
__version__ = "1.0-basic" | |
__docformat__ = "camelCasing" | |
__copyright__ = "Copyright (c) 2020 Debmalya Pramanik | Indian Institute of Technology (IIT), Dhanbad" | |
__affiliation__ = "Inspirigence Works Pvt. Ltd." | |
import pyodbc | |
import getpass | |
setConnectionString = lambda server, database, username, password : f"DRIVER={{ODBC Driver 17 for SQL Server}};SERVER={server};DATABASE={database};UID={username};PWD={password}" | |
def connect(connection_string : str) -> [pyodbc.Connection, pyodbc.Cursor]: | |
"""Connect to SQL Server and Returns the Connection and Cursor""" | |
_con = pyodbc.connect(connection_string) | |
_cur = _con.cursor() | |
return _con, _cur | |
def closeConnection(connection : pyodbc.Connection, cursor : pyodbc.Cursor) -> None: | |
"""Close the pyodbc Connection""" | |
cursor.close() | |
connection.close() | |
return None | |
if __name__ == "__main__": | |
# get connection details | |
server = input("Server Address: ") | |
username = input("Username : ") | |
password = getpass.getpass("Password : ") | |
database = input("Database Name : ") | |
con, cur = connect(setConnectionString(server, database, username, password)) | |
# execute SQL Query for testing purpose | |
query = "SELECT * FROM Payments" # for demonstration only | |
# executes the query, and prints the result into console | |
cur.execute(query) | |
# return the data in JSON format | |
rows = [dict( | |
(cur.description[i][0], value) for i, value in enumerate(row) | |
) for row in cur.fetchall()] | |
rows = [row[0] for row in rows] | |
closeConnection(con, cur) |
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