aaronp / python-playground

playground for all things python, jupyter, etc

Running MS SQL Server

Prerequisites

Installing the driver on mac:

brew tap microsoft/mssql-release https://github.com/Microsoft/homebrew-mssql-release\nbrew update\nHOMEBREW_ACCEPT_EULA=Y brew install msodbcsql18 mssql-tools18

brew install mssql-tools18

Starting the Database

Spin up the database:

docker run -e "ACCEPT_EULA=Y" -e "MSSQL_SA_PASSWORD=Passw0rd" -p 1433:1433 --name sql1 --hostname sql1 --network host –rm   mcr.microsoft.com/mssql/server:2022-latest

Connecting a client

sudo docker exec -it sql1 "bash"
/opt/mssql-tools/bin/sqlcmd -S localhost -U SA -P "Passw0rd"

Connecting Externally

Getting your IP address:

ifconfig | grep "inet " | grep -v 127.0.0.1 | head

Then

sqlcmd -S <your ip>,1433 -U SA -P "Passw0rd" -C 

Starting Jupyter

jupyter lab

or, if jupyter is already running:

jupyter server list

Resources

• Quickstart: Run SQL Server Linux container images with Docker
• sqlcmd
• Microsoft docs

Appendix

Checking if remote access is enabled:

EXEC sp_configure 'remote access';
GO

SELECT name, value_in_use FROM sys.configurations WHERE name like '%access%';
GO

SQL Cheatsheet / Experiments

CREATE DATABASE TestDB;
SELECT Name from sys.databases;
GO

USE TestDB;
CREATE TABLE Inventory (id INT, name NVARCHAR(50), quantity INT);
INSERT INTO Inventory VALUES (1, 'banana', 150); INSERT INTO Inventory VALUES (2, 'orange', 154);
SELECT * FROM Inventory WHERE quantity > 152;
GO

pyodbc example

import pandas as pd
import pyodbc

# Create a Pandas DataFrame (replace this with your actual DataFrame)
data = {
    'Name': ['John', 'Jane', 'Bob'],
    'Age': [25, 30, 22],
    'City': ['New York', 'San Francisco', 'Seattle']
}
df = pd.DataFrame(data)

# depends on above cell
connection_string = f'DRIVER={driver};SERVER={server};DATABASE={database};UID={username};PWD={password};TrustServerCertificate=yes;'
print(f'connecting using: {connection_string}')
connection = pyodbc.connect(connection_string)
print("Connected!")
try:
    cursor = connection.cursor()
    cursor.execute('''
        if not exists (select * from sysobjects where name='sampletable' and xtype='U')
            CREATE TABLE sampletable (
                Name VARCHAR(50),
                Age INT
            )

    ''')
    connection.commit()

    print("Created Table!")
    
    # Save DataFrame to the database
    df.to_sql(name='sampletable', con=connection, if_exists='replace', index=False)
    print("Saved data frame!")

finally:
    # Close the connection
    connection.close()