benstr

curl -s https://api.github.com/orgs/twitter/repos?per_page=200 | ruby -rubygems -e 'require "json"; JSON.load(STDIN.read).each { |repo| %x[git clone #{repo["ssh_url"]} ]}'

benstr

function checkEmailAddress(emailAddress) {
	check(emailAddress, String);
	suffix = emailAddress.split('@')[1];
	if (suffix === "wcs.com")
		{ return true } else { return false };
	};

Accounts.validateNewUser(function (user) {
	console.log(user);
  if (checkEmailAddress(user.emails[0].address)) {

benstr

TL;DR

A query defines a set of conditions on a collection of documents. Most of the time, only the documents that meet these conditions need to be published to the client. In many cases the query's conditions are subject to the state of the application (for instance the selected sorting field). This pattern describes how to update your query's result set reactively with meteor without losing the cursor's state. This way, results are preserved over different adjustements of a query if they meet both set of conditions.

an example case

To illustrate this pattern best, we'll be using the following example case throughout.

Let's say you have a collection of Players and a collection of Games. We track each score in a Scores collection. Some example data:

Players:

benstr

The introduction to Reactive Programming you've been missing

(by @andrestaltz)

So you're curious in learning this new thing called (Functional) Reactive Programming (FRP).

Learning it is hard, even harder by the lack of good material. When I started, I tried looking for tutorials. I found only a handful of practical guides, but they just scratched the surface and never tackled the challenge of building the whole architecture around it. Library documentations often don't help when you're trying to understand some function. I mean, honestly, look at this:

Rx.Observable.prototype.flatMapLatest(selector, [thisArg])

Projects each element of an observable sequence into a new sequence of observable sequences by incorporating the element's index and then transforms an observable sequence of observable sequences into an observable sequence producing values only from the most recent observable sequence.