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
How MongoDB Works
Search
Sponsored
·
Your Podcast. Everywhere. Effortlessly.
Share. Educate. Inspire. Entertain. You do you. We'll handle the rest.
→
Uladzimir Mihura
February 01, 2013
Technology
1
260
How MongoDB Works
Deck for a short talk I've given on a EPAM Software Engineering Conference 2013.
Uladzimir Mihura
February 01, 2013
Tweet
Share
More Decks by Uladzimir Mihura
See All by Uladzimir Mihura
What is to be a senior engineer?
trnl
1
370
Apache Cassandra
trnl
2
240
Other Decks in Technology
See All in Technology
Bill One 開発エンジニア 紹介資料
sansan33
PRO
4
17k
Context Engineeringの取り組み
nutslove
0
340
Bedrock PolicyでAmazon Bedrock Guardrails利用を強制してみた
yuu551
0
210
プロダクト成長を支える開発基盤とスケールに伴う課題
yuu26
4
1.3k
AI駆動開発を事業のコアに置く
tasukuonizawa
1
170
データの整合性を保ちたいだけなんだ
shoheimitani
8
3.1k
変化するコーディングエージェントとの現実的な付き合い方 〜Cursor安定択説と、ツールに依存しない「資産」〜
empitsu
4
1.4k
ZOZOにおけるAI活用の現在 ~開発組織全体での取り組みと試行錯誤~
zozotech
PRO
5
5.2k
Greatest Disaster Hits in Web Performance
guaca
0
210
ファインディの横断SREがTakumi byGMOと取り組む、セキュリティと開発スピードの両立
rvirus0817
1
1.3k
クレジットカード決済基盤を支えるSRE - 厳格な監査とSRE運用の両立 (SRE Kaigi 2026)
capytan
6
2.7k
Data Hubグループ 紹介資料
sansan33
PRO
0
2.7k
Featured
See All Featured
Leo the Paperboy
mayatellez
4
1.4k
Building Flexible Design Systems
yeseniaperezcruz
330
40k
AI: The stuff that nobody shows you
jnunemaker
PRO
2
250
Fantastic passwords and where to find them - at NoRuKo
philnash
52
3.6k
Rails Girls Zürich Keynote
gr2m
96
14k
The SEO Collaboration Effect
kristinabergwall1
0
350
Testing 201, or: Great Expectations
jmmastey
46
8k
KATA
mclloyd
PRO
34
15k
Leadership Guide Workshop - DevTernity 2021
reverentgeek
1
200
GraphQLとの向き合い方2022年版
quramy
50
14k
Art, The Web, and Tiny UX
lynnandtonic
304
21k
Data-driven link building: lessons from a $708K investment (BrightonSEO talk)
szymonslowik
1
910
Transcript
How MongoDB works Uladzimir Mihura Senior Software Engineer, EPAM Systems
Software Engineering Conference 2013
Data Model {name:'mongo', type:'DB'}
Data Model: Document oriented { _id: 1, name:
{ first: 'Michael', last: 'Faraday' }, birth: new Date('Sep 22, 1791'), death: new Date('Aug 25, 1867'), contribs: ['Chemistry', 'Electricity', 'Diamagnetism'] }
{ hello: 'SEC 2013'} \x19\x00\x00\x00 \x02hello \x09\x00\x00\x00 SEC 2013\x00 Data
Model: BSON
Data Model: Structure Document Collection Database MongoDB Instance
db.foo.find({name:'Niels', surname:'Bohr'}) Reading
• find, findOne • accepts a conditions object • regex,
strings, numbers, etc... • rich operators • $lt, $gt, $or, $and, $in, $ne, ... • projections • specify fields to return Reading: Dynamic Queries
Reading: Indexes • B-Tree • multiply fields • options •
unique • sparse • 2d • full text search (≥2.4) Di Lu Rh B C Cr Zo St Sa Ka H F B C Cr
Reading: Query Optimizer x x remember db.foo.find({ x: 10, y:'bar'})
index on y index on x full scan
Writing db.foo.insert({name:'Georg', surname:'Ohm'})
• Errors ignored (even network errors) • Unacknowledged (fire &
forget) • Acknowledged (write accepted) • Journaled • Propagated to the replica set members Writing: Write Concerns
Writing: Isolation db.foo.update( { field1 : 1 , $isolated
: 1 }, { $inc : { field2 : 1 } } , { multi: true } )
Storage Management {name:'mongo', type:'DB'}
Storage: Padding factor ... Padding Header BSON Data Padding Header
...
Storage: Directory Layout -‐rw-‐-‐-‐-‐-‐-‐-‐ 1 trnl trnl
64M Jan 28 14:38 foo.0 -‐rw-‐-‐-‐-‐-‐-‐-‐ 1 trnl trnl 128M Jan 28 14:26 foo.1 -‐rw-‐-‐-‐-‐-‐-‐-‐ 1 trnl trnl 256M Jan 28 14:31 foo.2 -‐rw-‐-‐-‐-‐-‐-‐-‐ 1 trnl trnl 512M Jan 28 14:38 foo.3 -‐rw-‐-‐-‐-‐-‐-‐-‐ 1 trnl trnl 1.0G Jan 28 14:38 foo.4 -‐rw-‐-‐-‐-‐-‐-‐-‐ 1 trnl trnl 2.0G Jan 28 14:38 foo.5 -‐rw-‐-‐-‐-‐-‐-‐-‐ 1 trnl trnl 16M Jan 28 14:38 foo.ns • Separate files per database • Aggressive preallocation
Storage: Memory mapped files foo.1 foo.2 foo.3 ... foo.n Virtual
Memory
Scaling {name:'mongo', type:'DB'}
Scaling: Replication Node 3 Primary Node 1 Secondary Node 2
Secondary Replication Replication client read read read write
Scaling: Replication Node 3 Primary Node 1 Primary Node 2
Secondary Replication client read read write
Scaling: Replication Node 3 Secondary Node 1 Primary Node 2
Secondary Replication client read read write read Replication
Scaling: Sharding Client mongos mongos ... mongod mongod mongod Replica
Set mongod mongod mongod Replica Set mongod mongod mongod Replica Set Shards mongod mongod mongod Config Servers
MongoDB Drivers Team @ 10gen
• MongoLab.com • MongoHQ.com • HostedMongo.com • MongoMachine.com • ObjectRocket
• etc Hosted Solutions
Thank you. Let’s ask. http://try.mongodb.org/ http://on.fb.me/bymongo/