jakcharlton

TFS
Pros
•	Familiar to current team
•	Has a UI tool within Visual Studio
•	Close tie in to Work Items 
Cons
•	Slow to pull, check in and branch
•	Merge conflicts are frequent
•	Encourages infrequent check in due to merge conflicts and slow performance
•	Branching frequently leads to time consuming conflicts

jakcharlton

#encoding: utf-8
class ContatoMailer < ActionMailer::Base
  def receive(message)
    p message
  end
end

jakcharlton

require "active_record"

ActiveRecord::Base.establish_connection('postgres:///testing')
ActiveRecord::Migration.verbose = false

ActiveRecord::Migration.class_eval do
  create_table :played_quizzes, force: true do |t|
    t.integer :player_ids, array: true
    t.json    :quiz_snapshot
  end

jakcharlton

http://railsapps.github.com/rails-heroku-tutorial.html

Ruby 1.9.3 and Rails 3.2 on Heroku Heroku’s newest stack, “Celadon Cedar,” supports Rails 3.2 but installs Ruby 1.9.2 by default. Ruby 1.9.3 is recommended for Rails 3.2.

You can configure the Heroku environment to use Ruby 1.9.3.

Note: Heroku makes it clear that Ruby 1.9.3 on Heroku is experimental, which means “no support, the ruby_version will change in the future, and this feature may change or be removed without warning.” In response to an inquiry on January 31, 2012, Heroku said, “there is no timeline yet” to fully support Ruby 1.9.3.

Install the heroku-labs plugin:

jakcharlton

A few show tricks to find slow queries in mongodb

Enable profiling

First, you have to enable profiling

> db.setProfilingLevel(1)

Now let it run for a while. It collects the slow queries ( > 100ms) into a capped collections, so queries go in and if it's full, old queries go out, so don't be surprised that it's a moving target...

jakcharlton

// Retrieve all the documents where val == 1
// If no document is returned, insert {newVal: 2}
// Else update all the documents with {newVal: 2}
//
// Note: This query is not atomic

r.table("test").filter({val: 1}).count().do(function(numResults) {
  return r.branch(
    numResults.eq(0),
    r.table("test").insert({newVal: 2}),

jakcharlton

 r.table("foo").get("idValue").update( function(doc) { return r.branch( doc.eq(A), B, {} ) })

jakcharlton

r.db('master').table("machines").eqJoin(function(machine) { return machine("machine_memberships")("user_id") }, r.db('master').table("users")).zip()

jakcharlton

A Datacentre is a group of Servers

Servers can be grouped in a Datacentre

A Server (Instance) is a single Rethink process

A Database is a logical grouping for Tables - Tables may sit on different Servers

A Shard is a partition of a Table

jakcharlton

 r.db("user1").table("others").filter(function(user) {
    return user.hasFields('contact_id')
}).eqJoin("contact_id",   r.db("user1").table("contacts"))