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
FARTS - Faster ActiveRecord Through SQL
Search
Kyle Balderson
February 05, 2016
Programming
0
76
FARTS - Faster ActiveRecord Through SQL
Exploring ways of filtering, calculating, and sorting using SQL instead of Iterating over records
Kyle Balderson
February 05, 2016
Tweet
Share
Other Decks in Programming
See All in Programming
CJK and Unicode From a PHP Committer
youkidearitai
PRO
0
110
Ruby×iOSアプリ開発 ~共に歩んだエコシステムの物語~
temoki
0
350
CloudflareのChat Agent Starter Kitで簡単!AIチャットボット構築
syumai
2
510
OSS開発者という働き方
andpad
5
1.7k
Cache Me If You Can
ryunen344
2
3k
デザイナーが Androidエンジニアに 挑戦してみた
874wokiite
0
550
基礎から学ぶ大画面対応(Learning Large-Screen Support from the Ground Up)
tomoya0x00
0
3.3k
アルテニア コンサル/ITエンジニア向け 採用ピッチ資料
altenir
0
110
Flutter with Dart MCP: All You Need - 박제창 2025 I/O Extended Busan
itsmedreamwalker
0
150
AI Coding Agentのセキュリティリスク:PRの自己承認とメルカリの対策
s3h
0
230
GitHubとGitLabとAWS CodePipelineでCI/CDを組み比べてみた
satoshi256kbyte
4
250
AIを活用し、今後に備えるための技術知識 / Basic Knowledge to Utilize AI
kishida
22
5.9k
Featured
See All Featured
"I'm Feeling Lucky" - Building Great Search Experiences for Today's Users (#IAC19)
danielanewman
229
22k
Practical Orchestrator
shlominoach
190
11k
Producing Creativity
orderedlist
PRO
347
40k
Evolution of real-time – Irina Nazarova, EuRuKo, 2024
irinanazarova
8
920
Fashionably flexible responsive web design (full day workshop)
malarkey
407
66k
Rebuilding a faster, lazier Slack
samanthasiow
83
9.2k
How to Ace a Technical Interview
jacobian
279
23k
Git: the NoSQL Database
bkeepers
PRO
431
66k
The Invisible Side of Design
smashingmag
301
51k
How GitHub (no longer) Works
holman
315
140k
VelocityConf: Rendering Performance Case Studies
addyosmani
332
24k
No one is an island. Learnings from fostering a developers community.
thoeni
21
3.4k
Transcript
FASTER ACTIVE RECORD THROUGH SQL FA R T S @kylebalderson
WHY SHOULD WE FARTS? THERE ARE DIFFERENT WAYS OF GETTING
SIMILAR RESULTS
A PROBLEM IT’S TOO SLOW
13,668 TOTAL ORDERS 46.29 SECONDS 43 RECENTLY SHIPPED HOW SLOW?
WHAT’S THE CAUSE? def recently_shipped_orders @shipped_orders = Order.all.select do |o|
o.current_state == “shipped” end @recently_shipped_orders = @shipped_orders.select do |o| o.updated_at <= 3.days.ago end end
THIS LOADS EVERY ORDER IN THE DATABASE INTO RUBY OBJECTS
AND LOOPS THROUGH THEM TWICE
EVERY SINGLE ORDER def recently_shipped_orders @shipped_orders = Order.all.select do |o|
o.current_state == “shipped” end @recently_shipped_orders = @shipped_orders.select do |o| o.updated_at <= 3.days.ago end end
A FASTER WAY def recently_shipped_orders @shipped_orders = Order.where(current_state: "shipped") @recently_shipped_orders
= @shipped_orders.where(“updated_at > ?", 3.days.ago) end SELECT “orders”.* FROM “orders” WHERE “orders”.“current_state” = ‘shipped’ AND (updated_at > ‘2016-02-01’)
HOW MUCH FASTER? 46.29 SECONDS 0.02 SECONDS
WHAT ELSE CAN WE DO WITH SQL?
TOTALING ATTRIBUTES ON MODELS LineItem .where("created_at > ?", 1.month.ago) .reduce(0){
|total, line_item| total + line_item.quantity } LineItem .where("created_at > ?", 1.month.ago) .sum(:quantity) 26.56 SECONDS 0.061 SECONDS
OTHER MATH FUNCTIONS ▸ average ▸ count ▸ maximum ▸
minimum ▸ sum
WHEN TO AVOID COLLECT / MAP
GET AN ARRAY OF ATTRIBUTES LineItem.all. collect do |line_item| line_item.item_color
end LineItem .where("created_at > ?", 1.month.ago) .pluck(:item_color) 1.14 SECONDS 0.08 SECONDS
RELATED RECORDS Order .where("created_at > ?", 6.months.ago) .joins(:line_items) Order .where("created_at
> ?", 6.months.ago) .collect do |order| order.line_items.any? end 7.70 SECONDS 0.01 SECONDS
NO RELATED RECORDS Order .where("created_at > ?", 6.months.ago) .joins(" LEFT
JOIN line_items ON line_items.order_id = orders.id” ) .group("orders.id") .having("COUNT(line_items.*) = ?", 0) Order .where("created_at > ?", 6.months.ago) .collect do |order| order.line_items.empty? end 7.79 SECONDS 0.06 SECONDS
QUESTIONS?
THANK YOU @kylebalderson FASTER ACTIVERECORD THROUGH SQL (FARTS)