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I’m trying to set up a SQL server with Google, that I’m able to connect to with Microsoft SQL server, but when I try to connect with python, I’m not able to import google.cloud.sql.connector to my code. I installed the Google libraries with PIP and can import google.cloud.sql, but when I try to add or import the connector it gives me "The requests library is not installed from please install the requests package to use the requests transport."
Any advice?

I’ve tried installing Google SQL libraries with several PIP commands, all of which install without issue, but I’m still not able to import the connector in my code. I’ve installed the library with pip install cloud-sql-python-connector, and have also included the SQL dialects individually. [pymysql], [pg8000], [asyncpg], and [pytds]

2

Answers


  1. Have you tried pip install requests? Seems like that’s the module you’re missing

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  2. It sounds like you’re encountering dependency issues with your Python environment while trying to use the Google Cloud SQL Connector. Creating a dedicated virtual environment for your project can help manage dependencies more effectively and isolate your project from global Python package installations. Here’s how you can set up a Python virtual environment, install the necessary libraries, and start using the Google Cloud SQL Connector:

    Step 1: Install Python and PIP

    Ensure that Python and PIP are installed on your system. You can download Python from the official website and it typically includes PIP.

    Step 2: Create a Virtual Environment

    Open your terminal or command prompt and navigate to your project directory. Then, execute the following command to create a virtual environment named venv:

    # On Windows
    python -m venv venv
    
    # On macOS or Linux
    python3 -m venv venv
    

    Step 3: Activate the Virtual Environment

    Before installing any packages, you need to activate the virtual environment:

    # On Windows
    .venvScriptsactivate
    
    # On macOS or Linux
    source venv/bin/activate
    

    Step 4: Install Google Cloud SQL Connector and Requests

    With your environment activated, install the Google Cloud SQL Connector and the requests library using PIP:

    pip install google-cloud-sql-connector requests
    

    Step 5: Write Python Code to Use the Connector

    Now you can write your Python code to connect to your SQL Server instance on Google Cloud using the connector. Here’s a basic example of how to do this:

    import google.cloud.sql.connector
    import sqlalchemy
    
    # Function to create SQL connection
    def getconn() -> sqlalchemy.engine.base.Connection:
        conn = google.cloud.sql.connector.connect(
            "project-id:region:instance-id",  # Use your Cloud SQL instance connection name
            "pymysql",
            user="your-user",  # Replace with your database user
            password="your-password",  # Replace with your database password
            db="your-database-name"  # Replace with your database name
        )
        return conn
    
    # Create a SQLAlchemy engine
    engine = sqlalchemy.create_engine(
        "mysql+pymysql://",
        creator=getconn,
    )
    
    # Use the engine to execute SQL queries
    with engine.connect() as conn:
        result = conn.execute("SELECT * FROM your_table")  # Replace 'your_table' with your actual table name
        for row in result:
            print(row)
    
    # Close the engine
    engine.dispose()
    

    Step 6: Run Your Python Script

    Execute your Python script within the activated virtual environment. This ensures that it uses the correct dependencies.

    Additional Tips

    • Always activate your virtual environment when working on your project.
    • If you encounter other dependency-related issues, make sure to check that your dependencies are correctly listed and compatible.

    This setup should help you manage your dependencies better and resolve the import issues you were experiencing with the Google Cloud SQL Connector.

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