https://github.com/jwills/buenavista

A Postgres Proxy Server in Python
https://github.com/jwills/buenavista

Last synced: about 2 months ago
JSON representation

A Postgres Proxy Server in Python

• Host: GitHub
• URL: https://github.com/jwills/buenavista
• Owner: jwills
• License: apache-2.0
• Created: 2022-11-28T05:51:33.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2024-01-18T18:27:33.000Z (8 months ago)
• Last Synced: 2024-07-13T02:15:21.599Z (2 months ago)
• Language: Python
• Size: 2 MB
• Stars: 201
• Watchers: 10
• Forks: 20
• Open Issues: 7
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# Buena Vista: A Programmable Postgres Proxy Server

Buena Vista is a Python library that provides a [socketserver](https://docs.python.org/3/library/socketserver.html)-based implementation

of the [Postgres wire protocol (PDF)](https://beta.pgcon.org/2014/schedule/attachments/330_postgres-for-the-wire.pdf).

I started working on this project in order to address a common issue that people had when they were using another

one of my Python projects, [dbt-duckdb](https://github.com/jwills/dbt-duckdb): when a long-running Python process

is operating on a [DuckDB](http://duckdb.org) database, you cannot connect to the DuckDB file using the CLI or

with a database query tool like [DBeaver](https://dbeaver.io/) to examine the state of the database, because each DuckDB file

may only be open by a single process at a time. The Buena Vista library makes it possible to work with a DuckDB database

from multiple different processes over the Postgres wire protocol, and the library makes it simple enough to run an example

that illustrates the idea locally:

```sh

pip3 install buenavista

python3 -m buenavista.examples.duckdb_postgres 

```

in order to start a Postgres server on `localhost:5433` backed by the DuckDB database file that you passed in at the command line

(or by an in-memory DuckDB database if you do not specify an argument.) You should be able to query the database via `psql` in

another window by running `psql -h localhost -p 5433` (no database/username/password arguments required) or by using the DBeaver

Postgres client connection.