Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Sign up for free
Menu
Search
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Pricing
Search
Sign in
Sign up for free
Sharding is hard.
Search
Rafał Malinowski
March 15, 2014
Programming
390
3
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
Sharding is hard.
Rafał Malinowski
March 15, 2014
Other Decks in Programming
See All in Programming
AWSに止められる覚悟してますか?
morizo_1984
2
470
大喜利で理解するLLM as a Judge / Understanding LLM-as-a-Judge through Ogiri
rockname
0
170
技術的負債の返済は、AI時代の複利で効く投資 — 経営としての意思決定とその遂行
curekoshimizu
1
1.9k
App Intentsのビルドプロセスを支える技術
kntkymt
0
460
Webの地図
yosuke_furukawa
PRO
6
4.9k
Agents on Rails - Rails at Scale 2026
irinanazarova
0
280
The Rails Doctrine Decade
koic
2
410
Intent as Code
shoppingjaws
6
1.1k
半永久的に提供し続けられるプライベートクラウドを目指して ― 利用者の認知負荷を抑えるAPI抽象化とハードウェア世代交代の基盤設計
tomokon
0
200
AI活用は、個人から組織へ|マルチプレイヤーエージェントハーネス「QM」の社内活用事例 / AI use is moving from individuals to orgs
rkaga
1
290
ソニーのクラウド共通基盤の変遷とAI時代の開発スタイルに合わせた進化 / The Journey of Sony’s Common Cloud Platform and Its Evolution for AI-Native Development
kenjiyoneyama
0
150
FreeBSDでZabbixを動かす
kenkino
0
330
Featured
See All Featured
The Illustrated Children's Guide to Kubernetes
chrisshort
51
53k
AI Search: Implications for SEO and How to Move Forward - #ShenzhenSEOConference
aleyda
1
1.4k
Dominate Local Search Results - an insider guide to GBP, reviews, and Local SEO
greggifford
PRO
0
340
Ruling the World: When Life Gets Gamed
codingconduct
0
370
The Invisible Side of Design
smashingmag
301
52k
Understanding Cognitive Biases in Performance Measurement
bluesmoon
32
3k
Helping Users Find Their Own Way: Creating Modern Search Experiences
danielanewman
31
3.4k
XXLCSS - How to scale CSS and keep your sanity
sugarenia
250
1.3M
Testing 201, or: Great Expectations
jmmastey
46
8.3k
From Legacy to Launchpad: Building Startup-Ready Communities
dugsong
0
340
Design in an AI World
tapps
1
340
The Psychology of Web Performance [Beyond Tellerrand 2023]
tammyeverts
49
3.6k
Transcript
SHARDING server #1 server # server #
Database is still main problem of web app
SCALABILITY !
ALTER TABLE ADD INDEX
JOIN is evil
denormalize users_links user_id link 1 phpers.pl 1 meetphp.pl 1 php3city.pl
… … select count(*) from users_links where user_id=1; users user_id link 1
[email protected]
users_links user_id link 1 phpers.pl 1 meetphp.pl 1 php3city.pl …
… select links_count from users where user_id=1; users user_id link links_count 1
[email protected]
100. 000 denormalize
memcached alternative PHP cache xcache redis
sphinx search lucene ! solr elastic search
Replication master slave slave SELECT UPDATE DELETE INSERT SELECT SELECT
Replication master master master SELECT UPDATE DELETE INSERT SELECT UPDATE
DELETE INSERT SELECT UPDATE DELETE INSERT
Replication is harder than you think!
know your tools
Rafał Malinowski @afterdesign
None
None
None
None
None
SHARDING
Sharding is a type of database partitioning that separates very
large databases into smaller parts called data shards The Internet
user_id link 1 phpers.pl 1 meetphp.pl 1 php3city.pl
user_id link 1 phpers.pl user_id link 1 meetphp.pl user_id link
1 php3city.pl
None
How to shard ?
modulo
key % shards count = server id
sh.st/1
crc32('1') % 3 = 2
Sharding is hard. Resharding is harder !
crc32('1') % 3 = 2 crc32('1') % 4 = 3
db0 db1 4 5 6 7 0 1 2 3
8 9 db0 db2 db1
db0 db1 4 5 6 7 0 1 2 3
8 9 db0 db2 db1 db2 db3
shards moved rows 2 → 3 667 402 2 →
4 500 000 2 → 5 800 468 3 → 4 750 357 3 → 5 800 060 4 → 5 800 247
key map
shard_X url_id goto date
shards_counters shard_id count 1 0 2 0 shard_X url_id goto
date
shard_X url_id goto date shards_counters shard_id count 1 0 2
0 sharding_map url_id shard_id
meetphp.pl
shards_counters shard_id count 1 0 2 0 SELECT `shard_id` FROM
`shards_counters` ORDER BY `count` LIMIT 1;
shards_counters shard_id count 1 1 2 0 meetphp.pl sharding_map url_id
shard_id 1 1 sh.st/1
shards_counters shard_id count 1 1 2 0 shard_1.urls url_id goto
date 1 meetphp.pl 2014-01-01 sharding_map url_id shard_id 1 1
shards_counters shard_id count 1 1 2 0 SELECT `shard_id` FROM
`sharding_map` WHERE `url_id` = 1; sharding_map url_id shard_id 1 1
SELECT * FROM `urls` WHERE `url_id` = 1; shard_1.urls url_id
goto date 1 meetphp.pl 2014-01-01
phpers.pl
shards_counters shard_id count 1 1 2 0 SELECT `shard_id` FROM
`shards_counters` ORDER BY `count` LIMIT 1;
shards_counters shard_id count 1 1 2 1 sharding_map url_id shard_id
1 1 2 2 phpers.pl sh.st/2
shards_counters shard_id count 1 1 2 1 shard_2.urls url_id goto
date 2 phpers.pl 2014-01-01 sharding_map url_id shard_id 1 1 2 2
shards_counters shard_id count 1 1 2 1 SELECT `shard_id` FROM
`sharding_map` WHERE `url_id` = 2; sharding_map url_id shard_id 1 1 2 2
SELECT * FROM `shard_2.urls ` WHERE `url_id` = 2; shard_2.urls
url_id goto date 2 phpers.pl 2014-01-01
Key is unique throughout system
Adding shards ?
consistent hashing
0 max(int) shard_3 crc32('127.0.0.1') = 3619153832 shard_2 crc32('127.0.0.2') = 1321121298
shard_1 crc32('127.0.0.3') = 968459908
0 max(int) meetphp.pl crc32('127.0.0.1') = 3619153832 crc32('127.0.0.2') = 1321121298 crc32('127.0.0.3')
= 968459908
0 max(int) crc32('meetphp.pl') = 3254572804 crc32('127.0.0.1') = 3619153832 crc32('127.0.0.2') =
1321121298 crc32('127.0.0.3') = 968459908 meetphp.pl
sh.st/3254572804 meetphp.pl crc32('meetphp.pl') = 3254572804
shard_3.urls url_id goto date 3254572804 meetphp.pl 2014-01-01 crc32('127.0.0.1') = 3619153832
0 max(int) crc32('127.0.0.1') = 3619153832 crc32('127.0.0.2') = 1321121298 crc32('127.0.0.3') =
968459908 crc32('phpers.pl') = 42311941 phpers.pl
sh.st/42311941 phpers.pl crc32('phpers.pl') = 42311941
shard_1.urls url_id goto date 42311941 phpers.pl 2014-01-01 crc32('127.0.0.3') = 968459908
Searching is expensive
ketama
0 max(int) crc32('127.0.0.1') crc32('127.0.0.2') crc32('127.0.0.3')
buckets = {}
$bucketsCount = 1024; ! for ($i = 0; $i <
$bucketsCount; $i++) { buckets[i] = max(int) / $bucketsCount * i }
crc32('127.0.0.1') crc32('127.0.0.2') crc32('127.0.0.3') 0 max(int) buckets[0] = 127.0.0.2
0 max(int) crc32('127.0.0.1') crc32('127.0.0.2') crc32('127.0.0.3') buckets[261] = 127.0.0.1
crc32('127.0.0.1') crc32('127.0.0.2') crc32('127.0.0.3') 0 max(int) buckets[772] = 127.0.0.1
meetphp.pl crc32('meetphp.pl') = 3254572804 3254572804 % 1024 = 772
buckets[772] = shard 3
phpers.pl crc32('phpers.pl') = 42311941 42311941 % 1024 = 261
buckets[261] = shard 3
shard_3.urls url_id goto date 1 meetphp.pl 2014-01-01 2 phpers.pl 2014-01-01
resharding ?
1 6
1 6 2
1 6 2 3
1 6 2 3
data distribution
oversharding
problems sharding implementation ? which tables shard ? how big
are our tables ?
problems data count pagers/lists
sharding count insert/select one of the last things to do
Rafał Malinowski @afterdesign