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
Marcelo Alves
April 09, 2015
Programming
2
140
RethinkDB Primer
A short introduction to RethinkDB
Marcelo Alves
April 09, 2015
Tweet
Share
Other Decks in Programming
See All in Programming
Androidアプリのモジュール分割における:x:commonを考える
okuzawats
1
280
為你自己學 Python
eddie
0
520
PHPカンファレンス 2024|共創を加速するための若手の技術挑戦
weddingpark
0
140
PicoRubyと暮らす、シェアハウスハック
ryosk7
0
230
asdf-ecspresso作って 友達が増えた話 / Fujiwara Tech Conference 2025
koluku
0
1.4k
watsonx.ai Dojo #6 継続的なAIアプリ開発と展開
oniak3ibm
PRO
0
180
見えないメモリを観測する: PHP 8.4 `pg_result_memory_size()` とSQL結果のメモリ管理
kentaroutakeda
0
940
functionalなアプローチで動的要素を排除する
ryopeko
1
250
最近のVS Codeで気になるニュース 2025/01
74th
1
160
Lookerは可視化だけじゃない。UIコンポーネントもあるんだ!
ymd65536
1
130
PHPUnitしか使ってこなかった 一般PHPerがPestに乗り換えた実録
mashirou1234
0
430
Jaspr Dart Web Framework 박제창 @Devfest 2024
itsmedreamwalker
0
150
Featured
See All Featured
Designing on Purpose - Digital PM Summit 2013
jponch
117
7.1k
Become a Pro
speakerdeck
PRO
26
5.1k
Designing for Performance
lara
604
68k
Learning to Love Humans: Emotional Interface Design
aarron
274
40k
Facilitating Awesome Meetings
lara
51
6.2k
Understanding Cognitive Biases in Performance Measurement
bluesmoon
27
1.5k
Product Roadmaps are Hard
iamctodd
PRO
50
11k
Put a Button on it: Removing Barriers to Going Fast.
kastner
60
3.6k
Principles of Awesome APIs and How to Build Them.
keavy
126
17k
BBQ
matthewcrist
85
9.4k
I Don’t Have Time: Getting Over the Fear to Launch Your Podcast
jcasabona
30
2.1k
Easily Structure & Communicate Ideas using Wireframe
afnizarnur
192
16k
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