Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Sign up for free
Menu
Search
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Pricing
Search
Sign in
Sign up for free
Postgresql + Ruby = :heart:
Search
Yannick Schutz
April 08, 2014
Programming
360
4
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
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
More Decks by Yannick Schutz
See All by Yannick Schutz
All those bots are gonna steal your job
ys
1
1.2k
Ruby loves Postgres
ys
1
180
RubyMotion - Apéro Ruby Paris 05-10-2012
ys
1
3k
Other Decks in Programming
See All in Programming
一人だけ、Kiroが静止する日
hideg
0
120
Java 27新機能 / Java 27 new features
kishida
2
150
Omarchy Tokyo やると聞いて UMPC 買ってセットアップしてきた
mtsmfm
0
150
技術的負債の返済は、AI時代の複利で効く投資 — 経営としての意思決定とその遂行
curekoshimizu
0
1.6k
AWS DevOps Agentで インシデント対応をAIに任せたい
honmarkhunt
7
3k
テストを司るデーモンに会いに行く 〜隔離した仮想マシンでテストを通すまで〜
h1d3mun3
1
540
Family mrubyの進捗
kishima
1
130
Augmenting AI with the Power of Jakarta EE
ivargrimstad
0
210
UnityでSystem.Net.WebSocketsなWebSocketサーバが動かないのでUnity Monoのコードを覗いてみた / about implementing websocket server with unity mono
drumath2237
1
230
{ Android | Kotlin } Gradle Plugin in 2026
ryunen344
1
330
AI活用は、個人から組織へ|マルチプレイヤーエージェントハーネス「QM」の社内活用事例 / AI use is moving from individuals to orgs
rkaga
1
120
ゲームコントローラやキーボードのファームウェアをSwiftで書く
kishikawakatsumi
1
250
Featured
See All Featured
CSS Pre-Processors: Stylus, Less & Sass
bermonpainter
360
30k
The SEO Collaboration Effect
kristinabergwall1
1
570
Jamie Indigo - Trashchat’s Guide to Black Boxes: Technical SEO Tactics for LLMs
techseoconnect
PRO
0
680
The Myth of the Modular Monolith - Day 2 Keynote - Rails World 2024
eileencodes
28
3.6k
How to Ace a Technical Interview
jacobian
281
24k
Beyond borders and beyond the search box: How to win the global "messy middle" with AI-driven SEO
davidcarrasco
3
240
Bash Introduction
62gerente
615
220k
We Have a Design System, Now What?
morganepeng
55
8.3k
Fantastic passwords and where to find them - at NoRuKo
philnash
52
3.8k
Prompt Engineering for Job Search
mfonobong
0
450
Mobile First: as difficult as doing things right
swwweet
225
10k
Evolving SEO for Evolving Search Engines
ryanjones
0
300
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?