Upgrade to PRO for Only $50/Year—Limited-Time Offer! 🔥
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
RethinkDB Primer
Search
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
ゲームの物理 剛体編
fadis
0
340
エディターってAIで操作できるんだぜ
kis9a
0
720
AWS CDKの推しポイントN選
akihisaikeda
1
240
C-Shared Buildで突破するAI Agent バックテストの壁
po3rin
0
390
Socio-Technical Evolution: Growing an Architecture and Its Organization for Fast Flow
cer
PRO
0
330
【CA.ai #3】Google ADKを活用したAI Agent開発と運用知見
harappa80
0
310
DevFest Android in Korea 2025 - 개발자 커뮤니티를 통해 얻는 가치
wisemuji
0
140
Flutter On-device AI로 완성하는 오프라인 앱, 박제창 @DevFest INCHEON 2025
itsmedreamwalker
1
110
Full-Cycle Reactivity in Angular: SignalStore mit Signal Forms und Resources
manfredsteyer
PRO
0
140
ハイパーメディア駆動アプリケーションとIslandアーキテクチャ: htmxによるWebアプリケーション開発と動的UIの局所的適用
nowaki28
0
420
JETLS.jl ─ A New Language Server for Julia
abap34
1
400
令和最新版Android Studioで化石デバイス向けアプリを作る
arkw
0
400
Featured
See All Featured
For a Future-Friendly Web
brad_frost
180
10k
Making Projects Easy
brettharned
120
6.5k
実際に使うSQLの書き方 徹底解説 / pgcon21j-tutorial
soudai
PRO
196
70k
Java REST API Framework Comparison - PWX 2021
mraible
34
9k
GraphQLとの向き合い方2022年版
quramy
50
14k
Rebuilding a faster, lazier Slack
samanthasiow
84
9.3k
JavaScript: Past, Present, and Future - NDC Porto 2020
reverentgeek
52
5.8k
Building Better People: How to give real-time feedback that sticks.
wjessup
370
20k
How Fast Is Fast Enough? [PerfNow 2025]
tammyeverts
3
390
What’s in a name? Adding method to the madness
productmarketing
PRO
24
3.8k
The Cost Of JavaScript in 2023
addyosmani
55
9.3k
StorybookのUI Testing Handbookを読んだ
zakiyama
31
6.4k
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