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
RethinkDB Primer
Search
Sponsored
·
Your Podcast. Everywhere. Effortlessly.
Share. Educate. Inspire. Entertain. You do you. We'll handle the rest.
→
Marcelo Alves
April 09, 2015
Programming
2
150
RethinkDB Primer
A short introduction to RethinkDB
Marcelo Alves
April 09, 2015
Tweet
Share
Other Decks in Programming
See All in Programming
MDN Web Docs に日本語翻訳でコントリビュート
ohmori_yusuke
0
650
CSC307 Lecture 03
javiergs
PRO
1
490
16年目のピクシブ百科事典を支える最新の技術基盤 / The Modern Tech Stack Powering Pixiv Encyclopedia in its 16th Year
ahuglajbclajep
5
1k
IFSによる形状設計/デモシーンの魅力 @ 慶應大学SFC
gam0022
1
300
humanlayerのブログから学ぶ、良いCLAUDE.mdの書き方
tsukamoto1783
0
190
余白を設計しフロントエンド開発を 加速させる
tsukuha
7
2.1k
例外処理とどう使い分ける?Result型を使ったエラー設計 #burikaigi
kajitack
16
6.1k
「ブロックテーマでは再現できない」は本当か?
inc2734
0
990
dchart: charts from deck markup
ajstarks
3
990
AI巻き込み型コードレビューのススメ
nealle
1
240
なぜSQLはAIぽく見えるのか/why does SQL look AI like
florets1
0
460
Smart Handoff/Pickup ガイド - Claude Code セッション管理
yukiigarashi
0
130
Featured
See All Featured
XXLCSS - How to scale CSS and keep your sanity
sugarenia
249
1.3M
How Software Deployment tools have changed in the past 20 years
geshan
0
32k
エンジニアに許された特別な時間の終わり
watany
106
230k
StorybookのUI Testing Handbookを読んだ
zakiyama
31
6.6k
Groundhog Day: Seeking Process in Gaming for Health
codingconduct
0
92
Highjacked: Video Game Concept Design
rkendrick25
PRO
1
290
Docker and Python
trallard
47
3.7k
[RailsConf 2023 Opening Keynote] The Magic of Rails
eileencodes
31
9.9k
Odyssey Design
rkendrick25
PRO
1
490
"I'm Feeling Lucky" - Building Great Search Experiences for Today's Users (#IAC19)
danielanewman
231
22k
Rebuilding a faster, lazier Slack
samanthasiow
85
9.4k
16th Malabo Montpellier Forum Presentation
akademiya2063
PRO
0
50
Transcript
RethinkDB a primer
What is RethinkDB? An open-source distributed database built with .
"MongoDB with joins"
Features JSON data model Distributed joins, subqueries, aggregation and atomic
updates Hadoop-style map/reduce Friendly web and command-line administration tools Multi-datacenter replication and failover Sharding and replication Queries are automatically parallelized and distributed
Getting Started
Installation tyrion@kings-landing:~$ brew update tyrion@kings-landing:~$ brew install rethinkdb
Set Up tyrion@kings-landing:~$ rethinkdb
Web UI
Clustering tyrion@kings-landing:~$ rethinkdb create –d /tmp/db1 tyrion@kings-landing:~$ rethinkdb –j –d
/tmp/db1 --port-offset 1
Clustering
Clustering
Gem tyrion@kings-landing:~$ gem install rethinkdb [1] pry(main)> require "rethinkdb" [2]
pry(main)> include RethinkDB::Shortcuts [3] pry(main)> r.connect(host: 'localhost', database: 'marvel').repl()
Working with RethinkDB
Get All [1] pry(main)> r.table('characters').run
Get Document [1] pry(main)> r.table('characters').get(1).run
Filter [1] pry(main)> r.table('characters').filter({ age: 30 }).run
Update [1] pry(main)> r.table('characters').get(1).update({ age: 50}).run
Delete [1] pry(main)> r.table('characters').get(1).delete.run
ReQL
Principles 1. ReQL embeds into your programming language. 2. All
ReQL queries are chainable. 3. All queries execute on the server.
Embeds into your Language [1] pry(main)> require "rethinkdb" [2] pry(main)>
include RethinkDB::Shortcuts [3] pry(main)> r.connect(host: 'localhost', database: 'marvel').repl() [1] pry(main)> r.table('characters').get(1).delete.run
Chainable Queries [1] pry(main)> r.table('characters').run [2] pry(main)> r.table('characters').pluck('last_name').distinct().run [3] pry(main)>
r.table('characters').pluck('last_name').distinct().count().run
Server-Side Execution [1] pry(main)> query = r.table('characters').pluck('last_name').distinct [2] pry(main)> query.run
Examples
Filter + Contains [1] pry(main)> r.table('user').filter{|user| user['emails'].contains('
[email protected]
')}.run
Filter Dates [1] pry(main)> r.table("posts").filter{ |post| [2] pry(main)> post.during(r.time(2012, 1,
1, 'Z'), r.time(2013, 1, 1, 'Z')) [3] pry(main)> }.run
Filter + Pluck + Order + Limit [1] pry(main)> r.table('snippets').
[1] pry(main)* filter({lang: 'ruby'}). [1] pry(main)* pluck('id', 'title', 'created_at'). [1] pry(main)* order_by(r.desc('created_at')). [1] pry(main)* limit(10). [1] pry(main)* run()
Group + Merge [1] pry(main)> r.table('invoices').group( [1] pry(main)* [r.row['date'].year(), r.row['date'].month()]
[1] pry(main)* ).ungroup().merge( [1] pry(main)* {invoices: r.row['reduction'], month: r.row['group']} [1] pry(main)* ).without('reduction', 'group').order_by('month').run
Cool Features
Geospatial [1] pry(main)> point1 = r.point(-122.423246,37.779388) [2] pry(main)> point2 =
r.point(-117.220406,32.719464) [3] pry(main)> r.distance(point1, point2, {:unit => 'm'}).run [4] pry(main)> r.circle(point1, 2000).includes(point2).run
HTTP [1] pry(main)> r.table('comics').insert(r.http('http://foo.com/comics')).run
Changes [1] pry(main)> r.table('games').changes().run.each{|change| p change}
None