pottery
Redisson
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| pottery | Redisson | |
|---|---|---|
| 5 | 3 | |
| 1,010 | 22,706 | |
| - | 1.3% | |
| 7.2 | 9.9 | |
| 19 days ago | 5 days ago | |
| Python | Java | |
| Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
pottery
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Is Redis om production ready? Or will it be production ready anytime soon?
However, as an alternative, consider my library, Pottery. Pottery offers some similar functionality to Redis OM, and Pottery is production ready.
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Is there any way for hGetAll to return a key-value pair list instead of a simple list?
This isn’t for Node.js… But if you’re using Python, you might want to check out Pottery. Pottery provides the functionality you’re describing and much more.
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What are incredible Python modules you can build entire projects around?
Shameless plug: Pottery: Redis for Humans. Its goal it to make Redis far easier to use by exposing Redis functionality via native Pythonic APIs like dicts, sets, lists, locks, etc.
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Worth wrapping pottery functions for compliance with async?
I have a question about https://github.com/brainix/pottery. It provides a nice Pythonic API by wrapping Redis constructs with Python Redis-backed data structures (Dict, Deque, etc.). I am using it in a Fastapi microservice project, which is obviously async.
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Solving The Three Stooges Problem
Pottery — Pythonic Redis utilities, including a distributed lock
Redisson
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Kotlin Spring WebFlux, R2DBC and Redisson microservice in k8s 👋✨💫
Source code you can find in the GitHub repository. he main idea of this project is the implementation of microservice using Kotlin, Spring WebFlux, PostgresSQL, and Redis with metrics and monitoring and deploying it to k8s. For interacting with PostgresSQL we will use reactive Spring Data R2DBC and for Redis caching using Redisson.
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Am I overlooking any potential issues that could arise from my implementation?
I came up empty handed in search of an alternative to Quartz for scheduling Crons in a clustered/distributed environment. Redisson has a scheduler, but it came with its own issues: - https://github.com/redisson/redisson/issues/4020 - https://github.com/redisson/redisson/issues/3991 - https://github.com/redisson/redisson/issues/4321
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Implement Hibernate 2nd level Cache with Redis, Spring Boot, and Spring Data JPA
4. We use the open-source library Redisson to connect to Redis instance and use Redis as Hibernate 2nd level cache. Please see their Github repo for more information.
What are some alternatives?
fastapi-redis-cache - A simple and robust caching solution for FastAPI that interprets request header values and creates proper response header values (powered by Redis)
Jedis - Redis Java client
aioredis - asyncio (PEP 3156) Redis support
Hazelcast - Hazelcast is a unified real-time data platform combining stream processing with a fast data store, allowing customers to act instantly on data-in-motion for real-time insights.
redsync - Distributed mutual exclusion lock using Redis for Go
Ehcache - Ehcache 3.x line
RPA-Python - Python package for doing RPA
Chronicle Map - Replicate your Key Value Store across your network, with consistency, persistance and performance.
reloadium - Hot Reloading and Profiling for Python
MapDB - MapDB provides concurrent Maps, Sets and Queues backed by disk storage or off-heap-memory. It is a fast and easy to use embedded Java database engine.
manim - A community-maintained Python framework for creating mathematical animations.
Vert.x - Vert.x is a tool-kit for building reactive applications on the JVM