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
320
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
1.1k
Ruby loves Postgres
ys
1
150
RubyMotion - Apéro Ruby Paris 05-10-2012
ys
1
3k
Other Decks in Programming
See All in Programming
Systèmes distribués, pour le meilleur et pour le pire - BreizhCamp 2025 - Conférence
slecache
0
100
Claude Codeの使い方
ttnyt8701
1
130
deno-redisの紹介とJSRパッケージの運用について (toranoana.deno #21)
uki00a
0
140
Webからモバイルへ Vue.js × Capacitor 活用事例
naokihaba
0
760
今ならAmazon ECSのサービス間通信をどう選ぶか / Selection of ECS Interservice Communication 2025
tkikuc
16
3.1k
コードの90%をAIが書く世界で何が待っているのか / What awaits us in a world where 90% of the code is written by AI
rkaga
45
30k
Webの外へ飛び出せ NativePHPが切り拓くPHPの未来
takuyakatsusa
2
320
「Cursor/Devin全社導入の理想と現実」のその後
saitoryc
0
140
Result型で“失敗”を型にするPHPコードの書き方
kajitack
4
260
ドメインモデリングにおける抽象の役割、tagless-finalによるDSL構築、そして型安全な最適化
knih
11
2k
[初登壇@jAZUG]アプリ開発者が気になるGoogleCloud/Azure+wasm/wasi
asaringo
0
130
ニーリーにおけるプロダクトエンジニア
nealle
0
100
Featured
See All Featured
Helping Users Find Their Own Way: Creating Modern Search Experiences
danielanewman
29
2.7k
The MySQL Ecosystem @ GitHub 2015
samlambert
251
13k
Product Roadmaps are Hard
iamctodd
PRO
53
11k
個人開発の失敗を避けるイケてる考え方 / tips for indie hackers
panda_program
107
19k
Improving Core Web Vitals using Speculation Rules API
sergeychernyshev
16
940
VelocityConf: Rendering Performance Case Studies
addyosmani
330
24k
Into the Great Unknown - MozCon
thekraken
39
1.9k
RailsConf 2023
tenderlove
30
1.1k
Six Lessons from altMBA
skipperchong
28
3.8k
Fashionably flexible responsive web design (full day workshop)
malarkey
407
66k
Site-Speed That Sticks
csswizardry
10
650
Bash Introduction
62gerente
614
210k
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?