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
Scaling MongoDB | Sergey Gavruk
Search
Minsk MongoDB User Group
October 04, 2012
Programming
200
2
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
Scaling MongoDB | Sergey Gavruk
Sergey Gavruk
Meetup #7
Minsk MongoDB User Group
October 04, 2012
More Decks by Minsk MongoDB User Group
See All by Minsk MongoDB User Group
MongoDB by Chef | Yauhen Artsiukhou
bymongo
0
150
MongoDB at IronMQ | Alexander Kolesen
bymongo
0
860
Event sourcing + CQRS + MongoDB | Alex Shkor
bymongo
1
660
How it works. Indexes | Kirill Duborenko
bymongo
5
300
Aggregation Framework | Mikhail Burtylev
bymongo
1
130
MongoDB 2.2: Release update + Roadmap | Alvin Richards
bymongo
1
120
Meetup#6 Intro | Alex Litvinok
bymongo
1
68
Deploying MongoDB on Amazon WS | Michael Karpitsky
bymongo
2
140
About the problem of DBMS choice & what to do if you have gone the wrong way | Roman Bugaev
bymongo
3
160
Other Decks in Programming
See All in Programming
今さら聞けない .NET CLI
htkym
0
210
Discordを用いたラボオートメーション関連情報収集の自動化
noguhiro2002
0
370
変わらないものが、変わるものを決める — 意図駆動開発 × イベントソーシング × イミュータブル | What Doesn't Change Decides What Can — IDD × Event Sourcing × Immutability
tomohisa
0
1.8k
進化を続けるGo toolsの現在地 / The Current State of Ever-Evolving Go Tools
hond0413
0
250
使いながら育てる Claude Code — 開発フローの1コマンド化 × 繰り返し指摘の自動仕組み化
shiki_kakaku
0
1.9k
AWS DevOps AgentのAzure接続機能を検証して見えた活用法/Use Cases Verified for the AWS DevOps Agent's Azure Connectivity Feature
masakiokuda
1
260
レビュー履歴をAIに食わせて、 Compose移行を加速するs
shihochan
0
190
komatsuna「分散システムにおけるバグ分析手法」
komatsunaqa
0
270
Building a Meta Ray-Ban display app
akkeylab
0
170
PostgreSQL 18で考えるUUID主キー
kazuhiro1982
0
500
Built Our Own Background Agent at LayerX
layerx
PRO
10
6k
夏だ!祭りだ!祭りとはドメインモデリングでは?
ryugen04
0
360
Featured
See All Featured
The B2B funnel & how to create a winning content strategy
katarinadahlin
PRO
1
480
Avoiding the “Bad Training, Faster” Trap in the Age of AI
tmiket
0
210
We Analyzed 250 Million AI Search Results: Here's What I Found
joshbly
1
1.8k
SEO in 2025: How to Prepare for the Future of Search
ipullrank
3
3.8k
Neural Spatial Audio Processing for Sound Field Analysis and Control
skoyamalab
0
410
How People are Using Generative and Agentic AI to Supercharge Their Products, Projects, Services and Value Streams Today
helenjbeal
1
280
JavaScript: Past, Present, and Future - NDC Porto 2020
reverentgeek
52
6k
AI Search: Where Are We & What Can We Do About It?
aleyda
0
7.8k
The Illustrated Guide to Node.js - THAT Conference 2024
reverentgeek
1
440
A Guide to Academic Writing Using Generative AI - A Workshop
ks91
PRO
1
380
[SF Ruby Conf 2025] Rails X
palkan
2
1.3k
Collaborative Software Design: How to facilitate domain modelling decisions
baasie
1
280
Transcript
Scaling Sergey Gavruk @gavruk
Scaling • Ver2cal • Horizontal • By op2miza2on – Op2mize
your queries, schema, indexes – Tune you file system – Choose right disks
Share nothing architecture • Michael Stonebraker First
implementa2on in 1983 Google calls this “Sharding”
Sharding goals • App doesn’t know about clusters • Cluster
should always be available for reads and writes • Cluster should grow easily
Sharding features • Range-‐based data par22oning • Automa2c
data volume distribu2on • Transparent query rou2ng
[“a”, “g”) [“g”, “m”) [“m”, “s”) [“s”,
“z”)
[“a”, “g”) [“g”, “m”) [“m”, “s”) [“s”,
“z”) [“d”, “g”) 100 GB 500 GB 100 GB 100 GB 100 GB 400 GB 200 GB 100 GB
[“a”, “g”) [“g”, “m”) [“m”, “s”) [“s”,
“z”)
[“a”, “d”) 300 [“g”, “k”) 300 [“m”,
“s”) [“s”, “z”) 400 GB 400 GB 100 GB 100 GB [“d”, “g”) 100 [“k”, “m”) 100
None
Chunks -‐∞ +∞
Chunks -‐∞ +∞
null Numbers Strings Objects Arrays
binary data ObjectIds booleans Dates regular expressions smaller bigger
Balancing mongos balancer Config server Config
server Config server Shard 1 Shard 2
Balancer goals • keep data distributed • minimize the amount
of data transfered
Balancing mongos balancer Config server Config
server Config server Shard 1 Shard 2 Move chunk X to shard 2
Balancing Number of chunks Migra:on threshold <
20 2 21-‐80 4 80+ 8
Balancing schedule db.seangs.update({ _id : "balancer" },
{ $set : { ac2veWindow : { start : "23:00", stop : "6:00" } } }, true )
Routed Request mongos Shard 1 Shard 2
Shard 3
mongos Shard 1 Shard 2 Shard 3
Request without shard key
Without shard key + sor2ng mongos Shard 1
Shard 2 Shard 3
Consider the shard cluster if: • Data exceeds the
storage capacity of a single node • Size of working set will soon exceed your RAM • Large amount of writes
Restric2ons • You cannot update a shard key
• You must use a shard key for a single update • Index on shard key
Ideal shard key • easily divisible. • will
distribute write opera2ons among the cluster • will make it possible for the mongos to return most query opera2ons directly from a single specific mongod instance
Choosing a shard key {
_id: "1", user_id: "2345652221", date_2me: "2012-‐10-‐04“, tweet_text: “Hello world” } Reliability
Choosing a shard key Ascending { TimeStamp:
12355232, … }
Choosing a shard key Low-‐cardinality key {
Con:nent: “Europe”, Name: “Tom”, … } Zip code?
Demo
Any questions? mailto:
[email protected]