PGCacheWatch 0.0.4

A Python library for real-time PostgreSQL event-driven cache invalidation, leveraging existing database infrastructure

pgcachewatch

pgcachewatch is a Python library crafted to empower applications with real-time PostgreSQL event notifications for efficient cache invalidation, directly leveraging existing PostgreSQL infrastructure. This approach eliminates the need for additional technologies for cache management, simplifying your stack while enhancing performance and real-time data consistency.

Key Advantages

• Leverage Existing Infrastructure: Utilizes PostgreSQL's native NOTIFY/LISTEN capabilities for event-driven cache invalidation, avoiding the overhead of integrating external caching systems.
• Asynchronous and Efficient: Built on top of asyncpg for asynchronous database communication, ensuring non-blocking I/O operations and optimal performance.
• Flexible Cache Invalidation Strategies: Offers a variety of strategies (e.g., Greedy, Windowed, Timed) for nuanced cache invalidation control, tailored to different application needs.
• Simple Yet Powerful API: Designed with simplicity in mind, offering a straightforward setup process and an intuitive API for managing cache invalidation logic.

Installation

To install pgcachewatch, run the following command in your terminal:

pip install pgcachewatch

Using pgcachewatch

Setting Up

Initialize PostgreSQL triggers to emit NOTIFY events on data changes. pgcachewatch provides utility scripts for easy trigger setup

pgcachewatch install --tables your_table_names

FastAPI Example

Example showing how to use pgcachewatch for cache invalidation in a FastAPI app

import asyncpg
from fastapi import FastAPI
from pgcachewatch import decorators, listeners, models, strategies

app = FastAPI()

async def setup_app(channel: models.PGChannel) -> FastAPI:
    conn = await asyncpg.connect()
    listener = await listeners.PGEventQueue.create(channel, conn)

    @decorators.cache(strategy=strategies.Greedy(listener=listener))
    async def cached_query():
        # Simulate a database query
        return {"data": "query result"}

    @app.get("/data")
    async def get_data():
        return await cached_query()

    return app