Python中的分布式读者-作家锁定 [英] Distributed readers-writer lock in python

问题描述

我正在寻找读者-作家锁在分布式系统中的python中使用.

I am looking for a readers-writer lock that can be used in python in a distributed system.

到目前为止，我已经发现:

So far I've found:

1. redlock ，它基于redis.不提供读者-作者锁定.
2. dask的分布式软件包提供了锁，但同样，没有读者-作者锁定.
与Zookeeper配合使用的
3. kazoo，提供读者-作者锁定.但是Zookeeper是一个非常重的依赖项，因为它是用Java编写的，因此需要JDK.

1. redlock, which is based on redis. Does not provide a readers-writer lock.
2. The distributed package of dask offers a lock, but again, no readers-writer lock.
3. kazoo, which works with Zookeeper, offers a readers-writer lock. However Zookeeper is an extremely heavy dependency, as it written in Java and therefore requires the JDK.

kazoo/Zookeeper是否有更轻巧的替代品?理想情况下，是否经过战斗测试的纯python解决方案?

Is there a more lightweight alternative to kazoo / Zookeeper? Ideally a pure python solution that is nevertheless battle tested?

推荐答案

Redis是单线程的，读/写操作是原子的；这意味着多个同时进行的读/写操作将不会成功，并且读取器和写入器将以原子方式顺序访问资源.我相信，如果将资源作为Redis数据结构之一保存，这将解决您的问题.当使用redis和python作为组合将资源保存在redis中时，不需要单独的读写器锁定机制.

Redis is single-threaded and read/write operations are atomic; which means multiple simultaneous read/write operations will not succeed and readers and writer(s) will be obtaining access to the resource sequentially in atomic fashion. I believe this would solve your problem if the resource is kept in as one of the redis data structures. You do not need a separate reader-writer lock mechanism when using redis and python as combination where the resource is kept within redis.

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