re

Re

Do it again, if it doesn't work the first time. Supports various configurable retry strategies, including: constant, exponential backoff and linear backoff.

Functions are styled after the async library.

Install

  npm install re

Usage

If you like the defaults, call it like this:

var retry = require('re'),
    re = retry.Re();

re.try(function(retryCount, fail, callback){
    if(retryCount < 2) fail(new Error("Not there yet!"));
    else callback(retryCount);
  },
  function(retryCount){
    console.log("It took this many tries: " + retryCount);
});

The re.try function takes two arguments, a function to call until it works (or we run out of retries) and a function to call when it finally succeeds (or we fail too many times). As the name suggests we automatically wrap your function in a standard try block and, if an exception occurs, call it again according to the retry schedule.

This first function passed to re.try should take 3 arguments like this:

function operation(retryCount, fail, callback)

The retryCount argument is the number if the current retry. It'll be zero the first time and get bigger every time.

The fail argument is a function to call if you encounter a fail condition in your operation. This let's us know we need to try again. You can pass an err argument to the fail function.

The callback argument is the callback function you passed into re.try. It should be a function that takes an err parameter as it's first argument. The rest of the arguments are up to you. Call this when you succeed. We'll call it with the last exception or whatever you passed to the last fail, when too many failures happen.

The re.do function is like re.try expect it doesn't wrap your operation in a try...catch.

Options

The default options look like this:

var options = {
    retries : 10,
    retryStrategy : {"type": retry.RETRY_STRATEGY.EXPONENTIAL, "initial":100, "base":2},
}

You pass this into the Re constructor.

var re = retry.Re(options);

This gives you 10 retries and an exponential backoff strategy with the following progression (in milliseconds): 100, 200, 400, 800, 1600, 3200, 6400, 12800, 25600, 51200

Retry Strategy Examples

The following will retry every 400 milliseconds:

{"type": retry.RETRY_STRATEGY.CONSTANT, "initial": 400}

The following will give a linear backoff strategy that has the following progression (when paired with retries: 10) : 200, 400, 600, 800, 1000, 1200, 1400, 1600, 1800, 1800

{"type": retry.RETRY_STRATEGY.LINEAR, "initial": 200, "max":1800}

Both progressive strategies take the max option. All strategies also take a rand option. This is a Boolean that adds a random multiplier between 1 and 2. This makes them act like the tradition backoff function described here: Exponential Backoff in Distributed Systems. This parameter is set to false by default.