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
150
RethinkDB Primer
A short introduction to RethinkDB
Marcelo Alves
April 09, 2015
Tweet
Share
Other Decks in Programming
See All in Programming
ゼロダウンタイムでミドルウェアの バージョンアップを実現した手法と課題
wind111
0
170
DartASTとその活用
sotaatos
2
130
Amazon Bedrock Knowledge Bases Hands-on
konny0311
0
150
AsyncSequenceとAsyncStreamのプロポーザルを全部読む!!
s_shimotori
1
280
JEP 496 と JEP 497 から学ぶ耐量子計算機暗号入門 / Learning Post-Quantum Crypto Basics from JEP 496 & 497
mackey0225
2
280
AI駆動開発ライフサイクル(AI-DLC)のホワイトペーパーを解説
swxhariu5
0
1k
CSC509 Lecture 10
javiergs
PRO
0
180
なぜ強調表示できず ** が表示されるのか — Perlで始まったMarkdownの歴史と日本語文書における課題
kwahiro
12
6.1k
ノーコードからの脱出 -地獄のデスロード- / Escape from Base44
keisuke69
0
710
OSS開発者の憂鬱
yusukebe
12
4.3k
Promise.tryで実現する新しいエラーハンドリング New error handling with Promise try
bicstone
3
460
Building AI with AI
inesmontani
PRO
0
190
Featured
See All Featured
Keith and Marios Guide to Fast Websites
keithpitt
413
23k
実際に使うSQLの書き方 徹底解説 / pgcon21j-tutorial
soudai
PRO
192
56k
Refactoring Trust on Your Teams (GOTO; Chicago 2020)
rmw
35
3.2k
The Invisible Side of Design
smashingmag
302
51k
Helping Users Find Their Own Way: Creating Modern Search Experiences
danielanewman
31
2.9k
Done Done
chrislema
186
16k
Leading Effective Engineering Teams in the AI Era
addyosmani
9
1.1k
Why Our Code Smells
bkeepers
PRO
340
57k
Unsuck your backbone
ammeep
671
58k
Creating an realtime collaboration tool: Agile Flush - .NET Oxford
marcduiker
34
2.3k
Easily Structure & Communicate Ideas using Wireframe
afnizarnur
194
17k
Writing Fast Ruby
sferik
630
62k
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