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Redis-Backed Data Structures for Python

Redis-backed Python data structures that function like built-ins but store data on a Redis server, enabling shared access across distributed systems.


🚀 Features

  • Drop-in Replacements: Use familiar Python data structures (list, dict, set, etc.) with minimal changes to your code.
  • Redis-Powered: Data is stored on the Redis server, enabling easy sharing across processes, services, or systems.
  • Seamless Integration: Works like native Python data structures while leveraging Redis for distributed use cases.

📥 Installation

Install the library using pip:

pip install py_redis_ds

💡 Usage

Here’s a quick example of how to use a Redis-backed list:

from py_redis_ds.builtins import List
from redis import Redis

redis = Redis()

# Initialize a Redis-backed list
rlist = List(name="my_shared_list", redis=redis)

# Add elements
rlist.append("Hello")
rlist.append("World")

# Access elements
print(rlist[0])  # Output: Hello

# Iterate through the list
for item in rlist:
    print(item)

# Shared access in another script or service
rlist2 = List(name="my_shared_list", redis=redis)
print(rlist2[1])  # Output: World

📚 Supported Data Structures

Data Structure Redis-Backed Equivalent
list py_redis_ds.builtins.List
dict py_redis_ds.builtins.Dict
set py_redis_ds.builtins.Set
queue.Queue py_redis_ds.queue.Queue
queue.LifoQueue py_redis_ds.queue.LifoQueue
queue.PriorityQueue py_redis_ds.queue.PriorityQueue
collections.deque py_redis_ds.collections.Deque
collections.defaultdict py_redis_ds.collections.DefaultDict

(Support for more data structures coming soon!)


🌟 Why Use Redis-Backed Structures?

  • Shared State: Easily share data between processes, microservices, or distributed systems.
  • Scalability: Offload data storage to Redis, reducing memory usage in individual processes.
  • Simplicity: Use familiar Python syntax while leveraging Redis's power.

🤝 Contributing

Contributions are welcome! Please check out our CONTRIBUTING.md for guidelines.


📜 License

This project is licensed under the MIT License. See the LICENSE file for details.


We’re excited to see how you use Redis-Backed Data Structures! If you have any questions or feedback, feel free to open an issue or start a discussion.

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