rc - the redis cache.
- easy to use
- can build cache cluster
- batch-fetch multiple cache results (do it in parallel for cluster)
For full documentation see rc.readthedocs.org.
$ pip install rcA minimal cache example looks like this:
from rc import Cache
cache = Cache()
assert cache.set('key', 'value')
assert cache.get('key') == 'value'
assert cache.get('foo') is None
assert cache.set('list', [1])
assert cache.get('list') == [1]A cache cluster use a redis cluster as backend:
from rc import CacheCluster
cache = CacheCluster({
'cache01': {'host': 'redis-host01'},
'cache02': {'host': 'redis-host02'},
'cache03': {'host': 'redis-host03'},
'cache04': {'host': 'redis-host04', 'db': 1},
})Cache decorator:
@cache.cache()
def load(name, offset):
return load_from_database(name, offset)
rv = load('name', offset=10)Batch fetch multiple cache results:
assert cache.get_many('key', 'foo') == ['value', None]
# for cache decorated function
@cache.cache()
def cached_func(param):
return param
results = []
# with the context manager, the function
# is executed and return a promise
with cache.batch_mode():
for i in range(10):
results.append(cached_func(i))
for i, rv in enumerate(results):
assert rv.value == iCache invalidation:
cache.delete('key')
# for decorated function
cache.invalidate(load, 'name', offset=10)If you feel anything wrong, feedbacks or pull requests are welcome.