Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Postgresql + Ruby = :heart:
Search
Yannick Schutz
April 08, 2014
Programming
4
300
Postgresql + Ruby = :heart:
How you could use postgresql in ways you didn't imagine when using it as a simple datastore.
Yannick Schutz
April 08, 2014
Tweet
Share
More Decks by Yannick Schutz
See All by Yannick Schutz
All those bots are gonna steal your job
ys
1
960
Ruby loves Postgres
ys
1
150
RubyMotion - Apéro Ruby Paris 05-10-2012
ys
1
3k
Other Decks in Programming
See All in Programming
GitHub Actionsで泣かないためにやっておきたい設定 / Recommended GHA settings to avoid crying
pinkumohikan
3
530
2 週間で Twitter Bot を作ってみた
contour_gara
0
380
Random\Randomizer クラスで日常のあれこれを解決しよう! / Random\Randomizer class solves familiar trouble
cocoeyes02
0
240
Elm Form Validation
bkuhlmann
0
510
StoreKit2によるiOSのアプリ内課金のリニューアル
kangnux
0
110
Rethinking UI building strategies @ SFI 2024
letelete
0
270
Apache Hive 4 on Treasure Data
ryukobayashi
0
290
GraphQLサーバの構成要素を整理する #ハッカー鮨 #tsukijigraphql / graphql server technology selection
izumin5210
4
840
[技育CAMPアカデミア]アイディアを形に!【超入門】スマホアプリ開発〜リリースまでの流れをご紹介
teamlab
PRO
0
370
Java 22 Overview
kishida
1
180
冗長なエラーログを削減し、スタックトレースを手に入れる / Reducing Verbose Error Logs and Obtaining Stack Traces
upamune
0
560
新宿ダンジョンを可視化してみた
satoshi7190
2
250
Featured
See All Featured
Making Projects Easy
brettharned
108
5.5k
Building Effective Engineering Teams - LeadDev
addyosmani
28
1.8k
Building a Modern Day E-commerce SEO Strategy
aleyda
17
6.4k
What's in a price? How to price your products and services
michaelherold
237
11k
Why You Should Never Use an ORM
jnunemaker
PRO
51
8.6k
StorybookのUI Testing Handbookを読んだ
zakiyama
13
4.6k
Responsive Adventures: Dirty Tricks From The Dark Corners of Front-End
smashingmag
244
20k
Clear Off the Table
cherdarchuk
84
310k
[RailsConf 2023] Rails as a piece of cake
palkan
23
3.9k
What's new in Ruby 2.0
geeforr
337
31k
Agile that works and the tools we love
rasmusluckow
325
20k
Put a Button on it: Removing Barriers to Going Fast.
kastner
58
3k
Transcript
Ruby+ Postgresql=♥♥♥♥
Hello, I’m Yannick
None
None
PostgreSQL is more than a datastore
PostgreSQL is a relational database
PostgreSQL is webscale
PostgreSQL is webscale
PostgreSQL is open-source
PostgreSQL is maintained
PostgreSQL has a great community
PostgreSQL has new awesome features coming!
PostgreSQL will do your coffee
Let me show you it’s POWER
PROBLEM
You fetch something from an API call. Like that Oauth
call to twitter.
a) You add a new cache layer like Redis b)
You add a table with all the fields c) You add fields to an existing model d) Something else?
a) You add a new cache layer like Redis b)
You add a table with all the fields c) You add fields to an existing model d) Something else?
a) You add a new cache layer like Redis b)
You add a table with all the fields c) You add fields to an existing model d) Something else?
a) You add a new cache layer like Redis b)
You add a table with all the fields c) You add fields to an existing model d) Something else?
a) You add a new cache layer like Redis b)
You add a table with all the fields c) You add fields to an existing model d) Something else?
JSON
class AddJsonPayloadToTwitterAuth < ActiveRecord::Migration def change add_column(:twitter_auths, :json_payload, :json) end
end
PostgreSQL learn you japanese
PROBLEM
You add new user settings every two weeks and needs
new avatar sizes every three.
a) You store that in Redis b) You add a
table with all the fields c) You add fields to the existing model d) Something else?
a) You store that in Redis b) You add a
table with all the fields c) You add fields to the existing model d) Something else?
a) You store that in Redis b) You add a
table with all the fields c) You add fields to the existing model d) Something else?
a) You store that in Redis b) You add a
table with all the fields c) You add fields to the existing model d) Something else?
a) You store that in Redis b) You add a
table with all the fields c) You add fields to the existing model d) Something else?
HSTORE
add_column :users, :settings, :hstore ! class User < ActiveRecord::Base #
This exposes accessors. user.wants_push = false store_accessor :settings, :wants_push, :wants_mails, :auto_save store_accessor :avatars, :large, :medium, :small end
PostgreSQL is not mysql
PROBLEM
You have a really complex query that is blazing fast
but when you come back a week after you’re like ‘WTF is that!’
a) You keep it unreadable b) You change the behavior
c) Something else?
a) You keep it unreadable b) You change the behavior
c) Something else?
a) You keep it unreadable b) You change the behavior
c) Something else?
a) You keep it unreadable b) You change the behavior
c) Something else?
CTE AKA WITH clause
def bad_users_with_karma User.find_by_sql(query) end ! def query <<-SQL WITH bad_users
AS (SELECT * FROM users WHERE bad = true) SELECT * FROM bad_users WHERE karma > #{karma_limit} SQL end
VIEWS THANKS PSQL
PostgreSQL believes you can fly
PROBLEM
You really need to add all this complexity that makes
that query run in seconds…
a) You use a complex query b) You denormalize in
MongoDB c) Something else?
a) You use a complex query b) You denormalize in
MongoDB c) Something else?
a) You use a complex query b) You denormalize in
MongoDB c) Something else?
a) You use a complex query b) You denormalize in
MongoDB c) Something else?
VIEWS
CREATE MATERIALIZED VIEW bad_users AS SELECT * FROM users WHERE
bad = false; ! class BadUser < User def readonly? true end end
PostgreSQL might contains kittens and unicorns
PROBLEM
You need to search your users by username, name and
email.
a) You add that elastic search b) You select in
ruby c) Something else?
a) You add that elastic search b) You select in
ruby c) Something else?
a) You add that elastic search b) You select in
ruby c) Something else?
a) You add that elastic search b) You select in
ruby c) Something else?
SEARCH
# Using textacular ! User.basic_search(“yannick”) User.basic_search(name: “yan:*”) User.fuzzy_search(“yannick”) # uses
trigrams ! create index on users using gin(to_tsvector('english', name));
PostgreSQL comes in multiple flavors and colors
Now, you know that the elephant database is more than
a datastore!
Thanks!
Questions?
Questions?