https://github.com/dkatz23238/python-3.5-microsoft-sql-server

python-3.5-microsoft-SQL-server
https://github.com/dkatz23238/python-3.5-microsoft-sql-server

Last synced: 3 months ago
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python-3.5-microsoft-SQL-server

• Host: GitHub
• URL: https://github.com/dkatz23238/python-3.5-microsoft-sql-server
• Owner: dkatz23238
• Created: 2020-02-05T13:57:08.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2020-02-05T13:57:28.000Z (over 5 years ago)
• Last Synced: 2025-01-19T08:28:10.435Z (5 months ago)
• Language: Dockerfile
• Size: 1.95 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Python Development Environment for Microsoft SQL Server

This image provides an integrated development environment for Python with connectivity to a remote SQL Server database. Learn more about [SQL Server on Linux](https://hub.docker.com/r/microsoft/mssql-server-linux/). To report issues or provide feedback, please file an issue in the [SQL Server in Docker GitHub Repository](https://github.com/Microsoft/mssql-docker).

### [Dockerfile](https://github.com/Microsoft/mssql-docker/blob/master/oss-drivers/pyodbc/Dockerfile)

The following components are included:

- Ubuntu 16.04 OS layer.

- Pre-configured Python 3.5 runtime environment.

- [pyodbc driver](https://github.com/mkleehammer/pyodbc) for SQL Server.

- A working Python to SQL Server code sample.

- SQL Server command-line utilities (sqlcmd and bcp).

- Command-line text editor tools (nano and vim).

## Usage

To run an interactive bash session in this container simply run:

        docker build microsoft/pyodbc

        docker run -it microsoft/pyodbc

The following optional environment variables can be provided to create the code sample:

- `$DB_HOST`: The IP address or hostname where the SQL Server instance is running.

- `$DB_USERNAME`: The database user in the SQL Server instance.

- `$DB_PASSWORD`: The database user's password in the SQL Server instance.

  **Note:** If you are running SQL Server in a Docker container as well, you can obtain the container's IP address using `docker inspect `.

After passing the above environment variables Within the container, you can run the following commands:

- `python connect.py`: Execute the code sample to connect to SQL Server. The `connect.py` file will already have the database parameters.

- `sqlcmd -S $DB_HOST -U $DB_USERNAME -P $DB_PASSWORD`: This will run the command-line client for SQL Server where you can execute T-SQL statements against it.

# User Feedback

---

- For issues with or questions about this image, please contact us through a [GitHub issue](https://github.com/Microsoft/mssql-docker/issues).

# Further Reading

---

- [SQL Server on Linux for Docker documentation](https://docs.microsoft.com/en-us/sql/linux/sql-server-linux-setup-docker)

- [SQL Server - Developer Getting Started Tutorials](https://www.microsoft.com/en-us/sql-server/developer-get-started/?utm_source=DockerHub)

- [SQL Server Docker GitHub Repository](https://github.com/Microsoft/mssql-docker)