Simple, distributed sorted sets with redis
Project description
Simple, generic sorted sets backed by Redis that can be used to coordinate distributed systems.
Features
- Safe for multiple producers and consumers
- Seamless use with Python objects using serializers
- No worker daemons to run, no client processes to maintain
- Simple, easy-to-read implementation
- Mimics Python’s native set interface
- Well tested
Docs
About
This software was developed at Percolate, where we use it for all sorts of things that involve maintaining synchronized sets of things across process boundaries. A common use-case is to use redset for coordinating time-sensitive tasks where duplicate requests may be generated.
Redset is unopinionated about how consumers look or behave. Want to have a plain ‘ol Python consumer managed by supervisor? Fine. Want to be able to pop off items from within a celery job? Great. Redset has no say in where or how it is used: mechanism, not policy.
Simple example
import json import redis from redset import TimeSortedSet r = redis.Redis() ss = TimeSortedSet(r, 'important_json_biz', serializer=json) ss.add({'foo': 'bar1'}) ss.add({'foo': 'bar2'}) ss.add({'foo': 'bar3'}) len(ss) # 3 # ...some other process ss.peek() # {'foo': 'bar1'} ss.pop() # {'foo': 'bar1'} ss.take(2) # [{'foo': 'bar2'}, {'foo': 'bar3'}]
Usage concepts
redset.SortedSet and its subclasses can be instantiated with a few paramters that are notable.
Specifying a serializer
Since Redis only stores primitive numbers and strings, handling serialization and deserialization is a key part of making redset set usage simple in Python.
A serializer instance can be passed (which adheres to the redset.interfaces.Serializer interface, though it need not subclass it) to automatically handle packing and unpacking items managed with redset.
Specifying a scorer
A callable that specifies how to generate a score for items being added can also be passed to SortedSet’s constructor as scorer. This callable takes one argument, which is the item object (i.e. the item before serialization) to be “scored.”
Installing
Download this directory, and install it using pip with setup.py:
pip install .
Project details
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