Simple Redis Caching Library
npm install redis-cachify --save
This library requires either existing redis connetions, or redis host and port settings.
Cachify = require"redis-cachify"cachify = CachifyredisPort: 6379redisHost: "localhost"# ORcachify = CachifyredisStore: redisClient in normal moderedisPubsub: redisClient in pubsub mode# Other options (with defaults are):cachify = CachifyredisPort: 6379redisHost: "localhost"defaultExpiry: 60 # (time in seconds for functions to be cached)cacheInProcess: false # (turns on in-process cachcing, see details below)redisChannel: "cache" # (the Redis pubsub channel to use)
Once you have a cachify instance you can use it as follows:
cachifiedFunction = cachify(id, myFunction)
This library currently expects all functions that it as applied to, to have the following signature:
myFunction = (data, callback) ->
Callbacks are standard Node-style callbacks that are expected to receive an optional error and then a result.
id can be a string, e.g. -
"usd2gbp' or a function, e.g.
(data) -> "userToken:" + data.userId
id argument is a function, then it will be passed the data argument passed in each time the function is called.
A cachified version of a function can be used in excactly the same way as the function that was passed into it. The difference being that the result will be cached in Redis and returned much sooner. This can be very useful in the following scenario:
Application logic is vastly simplified as all you need to do is "cachify" the function that goes and gets the token. Any method running in any process (on the same or different machines) can now reliably call that method. The function will return either a fresh token, or a cached token that will automatically expire after n minutes. If 3 methods call the function in the same tick of the event loop, the original function will only be called once - yet the callbacks from all 3 functions will correctly be called
If you make a 10 calls to cachifiedFunction (with the same data), then myFunction will only be called once.
Simply pass in the expity time in seconds as the second argument:
cachifiedFunction = cachify(id, 120, myFunction)
inProcessCache is set to
true then the result of
myFunction will be saved both in Redis and in a local memory
cache. This can improve performance by preventing unncecesary IO to Redis, but could result in slight race conditions -
so it is turned off by default. The race conditions would only occur at the time of a results expiry from
the cache. The in process cache could be slighly slower at expiring the data than Redis. This is highly unlikely to
cause a problem - but you should be aware of it.
This library has a basic test suite and has been used extensively in production. If you are having problems, try running your program with the environment variable DEBUG=cachify This will print a whole load of debugging information to the console.