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Persistent Memory

Project description

skpmem - Smart Key-Value Persistent Memory

A high-performance, thread-safe persistent memory library that supports both synchronous and asynchronous operations with automatic eviction, reference counting, and background VACUUM optimization.

Installation

pip install skpmem

Features

  • Synchronous and asynchronous operation support
  • Automatic LRU-style eviction with reference counting
  • Background VACUUM for database optimization
  • Thread-safe mixed sync/async usage
  • Dict-like interface for synchronous operations
  • Context manager support for both paradigms
  • Configurable memory limits and optimization thresholds

Quick Start

Synchronous Usage

from skpmem import PersistentMemory

# Basic synchronous usage
mem = PersistentMemory('data.db')
mem.initialize_sync()
mem['key'] = 'value'
value = mem['key']
mem.close_sync()

Asynchronous Usage

import asyncio
from skpmem import PersistentMemory

async def main():
    # Using async context manager
    async with PersistentMemory('data.db') as mem:
        await mem.save('key', 'value')
        value = await mem.load('key')
        print(f"Loaded value: {value}")

asyncio.run(main())

Mixed Sync/Async Usage

import asyncio
from skpmem import PersistentMemory

async def main():
    mem = PersistentMemory('data.db')
    await mem.initialize()
    mem.initialize_sync()
    
    # Use both sync and async operations
    mem['sync_key'] = 'sync_value'
    await mem.save('async_key', 'async_value')
    
    sync_value = mem['sync_key']
    async_value = await mem.load('async_key')
    
    await mem.close()

asyncio.run(main())

API Reference

PersistentMemory

The main class for persistent memory operations.

Methods

  • initialize_sync(): Initialize for synchronous operations
  • initialize(): Initialize for asynchronous operations (async)
  • save(key, value): Save data asynchronously (async)
  • load(key, default=None): Load data asynchronously (async)
  • close_sync(): Close synchronous connections
  • close(): Close asynchronous connections (async)

Dict-like Interface

  • mem[key] = value: Store value synchronously
  • value = mem[key]: Retrieve value synchronously
  • del mem[key]: Delete key synchronously

Context Manager Support

# Async context manager
async with PersistentMemory('data.db') as mem:
    await mem.save('key', 'value')

# Sync context manager
with PersistentMemory('data.db').sync_context() as mem:
    mem['key'] = 'value'

Advanced Features

Automatic Eviction

The library automatically manages memory usage by evicting least recently used items when memory limits are reached.

Background Optimization

Database VACUUM operations run in the background to maintain optimal performance.

Thread Safety

All operations are thread-safe, allowing mixed synchronous and asynchronous usage from multiple threads.

Requirements

  • Python 3.10+
  • aiosqlite

License

MIT License

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