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MongoDB at FrozenRails
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Introduction to MongoDB given at FrozenRails 2010.
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MongoDB at FrozenRails
1.
open-‐source, high-‐performance,
document-‐oriented database Mike Dirolf • 10gen, Inc. • @mdirolf • http://dirolf.com
2.
Non-relational
Operational Stores (“NoSQL”) New Gen. OLAP RDBMS (vertica, aster, greenplum) (Oracle, MySQL)
3.
NoSQL Really Means:
non-‐relational, next-‐generation operational datastores and databases
4.
no joins +
no complex transactions Horizontally Scalable Architectures
5.
no joins +
no complex transactions New Data Models
6.
New Data Models improved
ways to develop applications?
7.
Data Models
Key / Value memcached, Dynamo Tabular BigTable Document Oriented MongoDB, CouchDB
8.
• memcached scalability &
performance • key/value • RDBMS depth of functionality
9.
JSON-style Documents
represented as BSON {“hello”: “world”} x16x00x00x00x02hello x00x06x00x00x00world x00x00 http://bsonspec.org
10.
Flexible “Schemas”
{“author”: “eliot”, {“author”: “mike”, “text”: “...”, “text”: “...”} “tags”: [“mongodb”]}
11.
Dynamic Queries
12.
Atomic Update
Modifiers
13.
Focus on Performance
14.
Replication
master slave master master slave slave slave slave master master slave master
15.
Auto-sharding
Shards mongod mongod mongod ... Config mongod mongod mongod Servers mongod mongod mongod mongos mongos ... client
16.
Many Supported Platforms /
Languages
17.
Best Use Cases
T Scaling Out Caching The Web High Volume
18.
Less Good At
highly transactional ad-‐hoc business intelligence problems that require SQL
19.
A Quick Aside _id
special key present in all documents unique across a Collection any type you want
20.
Post {:author => “mike”,
:date => Time.new, :text => “my blog post...”, :tags => [“mongodb”, “ruby”]}
21.
Comment {:author => “eliot”,
:date => Time.new, :text => “great post!”}
22.
New Post post =
{:author => “mike”, :date => Time.new, :text => “my blog post...”, :tags => [“mongodb”, “ruby”]} db[“posts”].save(post)
23.
Embedding a Comment c
= {:author => “eliot”, :date => Time.new, :text => “great post!”} db[“posts”].update({:_id => post[:_id]}, {:$push => {:comments => c}})
24.
Posts by Author db[“posts”].find(:author
=> “mike”)
25.
Last 10 Posts db[“posts”].find
.sort([[:date, :desc]]) .limit(10)
26.
Posts Since April
1 april_1 = Time.utc(2010, 4, 1) db[“posts”].find(:date => {:$gt => april_1})
27.
Posts Ending With
‘Ruby’ db[“posts”].find(:text => /Ruby$/)
28.
Posts With a
Tag db[“posts”].find(:tags => “mongodb”) ...and Fast (multi-‐key indexes) db[“posts”].create_index(“tags”)
29.
Indexing / Querying
on Embedded Docs (dot notation) db[“posts”].create_index(“comments.author”) db[“posts”].find(“comments.author” => “eliot”)
30.
Counting Posts db[“posts”].count db[“posts”].find(:author =>
“mike”).count
31.
Basic Paging page =
2 page_size = 15 db[“posts”].find.limit(page_size) .skip(page * page_size)
32.
Migration: Adding Titles
(just start adding them) post = {:author => “mike”, :date => Time.new, :text => “another blog post...”, :tags => [“mongodb”], :title => “MongoDB for Fun and Profit”} post_id = db[“posts”].save(post)
33.
Advanced Queries
$gt, $lt, $gte, $lte, $ne, $all, $in, $nin $not, $mod, $size, $exists, $type, $elemMatch db[“posts”].find(:$where => “this.author == ‘mike’ || this.title == ‘foo’”)
34.
MongoMapper, Mongoid, et. al.
35.
Other Cool Stuff aggregation
and map/reduce capped collections unique indexes mongo shell GridFS geo
36.
Download MongoDB
http://www.mongodb.org and let us know what you think @mdirolf @mongodb
Editor's Notes
Collection (logical groupings of documents) Indexes are per-collection
blog post twitter
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