redis-memoizer

redis-memoizer

An asynchronous function memoizer for node.js, using redis as the memo store. Memos expire after a specified timeout. Great as a drop-in performance optimization / caching layer for heavy asynchronous functions.

Wikipedia explains it best:

...memoization is an optimization technique used primarily to speed up computer programs by having function calls avoid repeating the calculation of results for previously processed inputs.

var memoize = require("redis-memoizer")();

function someExpensiveOperation(arg1, arg2, done) {
	// later...
	done();
}

var memoized = memoize(someExpensiveOperation);

Now, calls to memoized will have the same effect as calling someExpensiveOperation, except it will be much faster. The results of the first call are stored in redis and then looked up for subsequent calls.

Redis effectively serves as a shared network-available cache for function calls. Thus, the memoization cache is available across processes, so that if the same function call is made from different processes they will reuse the cache.

Uses

Lets say you are making a DB call that's rather expensive. Let's say you've wrapped the call into a getUserProfile function that looks as follows:

function getUserProfile(userId, done) {
	// Go over to the DB, perform expensive call, get user's profile
	done(err, userProfile);
}

Let's say this call takes 500ms, which is unacceptably high, and you want to make it faster, and don't care about the fact that the value of userProfile might be slightly outdated (until the cache timeout is hit in redis). You could simply do the following:

var getMemoizedUserProfile = memoize(getUserProfile);

getMemoizedUserProfile("user1", function(err, userProfile) {
	// First call. This will take some time.

	getMemoizedUserProfile("user1", function(err, userProfile) {
		// Second call. This will be blazingly fast.
	});
});

This can similarly be used for any network or disk bound async calls where you are tolerant of slightly outdated values.

Usage

Initialization

var memoize = require("redis-memoizer")(redisPort, redisHost, redisOptions);

Initializes the module with redis' connection parameters. The params are passed along as-is to the node-redis module for connecting to redis.

memoize(asyncFunction, [timeout])

Memoizes an async function and returns it.

• asyncFunction must be an asynchronous function that needs to be memoized. The last argument that the asyncFunction takes should be a callback in the usual node style.

• timeout (Optional) (Default: 120) is the amount of time in seconds for which the result of the function call should be cached in redis. Once the timeout is hit, the value is deleted from redis automatically. This is done using the redis setex command. The timeout is only set the first time, so the value expires after the timeout time has expired since the first call. The timeout is not reset with every call to the memoized function. Once the value has expired in redis, this module will treat the function call as though it's called the first time again. timeout can alternatively be a function, if you want to dynamically determine the cache time based on the data returned. The returned data will be passed into the timeout function.

  var httpCallMemoized = memoize(makeHttpCall, function(res) {
  	// return a number based on say response's expires header
  });
  
  httpCallMemoized(function(res) { ... });
  

Cache Stampedes

This module makes some effort to minimize the effect of a cache stampede. If multiple calls are made in quick succession before the first (async) call has completed, only the first call is actually really made. Note that redis will not have been populated at this time yet. Subsequent calls are queued up and are responded to as soon as the result of the first call is available.

Once all the calls have been responded to and the result of the computation is stored in redis, the module then switches to using the computed values from redis.

Note, cache stampedes can still happen if the same function is called from different processes, since the queueing logic described above happens in-memory. For the same set of arguments, you are likely to make as many calls as you have processes.

Installation

Use npm to install redis-memoizer:

npm install redis-memoizer

To run the tests, install the dev-dependencies by cd'ing into node_modules/redis-memoizer and running npm install once, and then npm test.

License

(The MIT License)

Copyright (c) 2012 Rakesh Pai [e-mail]

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.