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
Sharding is hard.
Search
Sponsored
·
Ship Features Fearlessly
Turn features on and off without deploys. Used by thousands of Ruby developers.
→
Rafał Malinowski
March 15, 2014
Programming
370
3
Share
Sharding is hard.
Rafał Malinowski
March 15, 2014
Other Decks in Programming
See All in Programming
ローカルで稼働するAI エージェントを超えて / beyond-local-ai-agents
gawa
1
200
GC言語のWasm化とComponent Modelサポートの実践と課題 - Scalaの場合
tanishiking
0
130
Codex CLI でつくる、Issue から merge までの開発フロー
amata1219
0
260
一度始めたらやめられない開発効率向上術 / Findy あなたのdotfilesを教えて!
k0kubun
3
2.6k
ネイティブアプリとWebフロントエンドのAPI通信ラッパーにおける共通化の勘所
suguruooki
0
230
野球解説AI Agentを開発してみた - 2026/02/27 LayerX社内LT会資料
shinyorke
PRO
0
380
PHPで TLSのプロトコルを実装してみる
higaki_program
0
610
仕様漏れ実装漏れをなくすトレーサビリティAI基盤のご紹介
orgachem
PRO
8
3.7k
AI-DLC 入門 〜AIコーディングの本質は「コード」ではなく「構造」〜 / Introduction to AI-DLC: The Essence of AI Coding Is Not “Code” but “Structure”
seike460
PRO
0
130
ロボットのための工場に灯りは要らない
watany
12
3.2k
Codexに役割を持たせる 他のAIエージェントと組み合わせる実務Tips
o8n
4
1.4k
AI Assistants for YourAngular Solutions @Angular Graz, March 2026
manfredsteyer
PRO
0
130
Featured
See All Featured
Digital Projects Gone Horribly Wrong (And the UX Pros Who Still Save the Day) - Dean Schuster
uxyall
0
920
Technical Leadership for Architectural Decision Making
baasie
3
300
Agile that works and the tools we love
rasmusluckow
331
21k
Agile Leadership in an Agile Organization
kimpetersen
PRO
0
120
Evolving SEO for Evolving Search Engines
ryanjones
0
170
The MySQL Ecosystem @ GitHub 2015
samlambert
251
13k
The Straight Up "How To Draw Better" Workshop
denniskardys
239
140k
Rebuilding a faster, lazier Slack
samanthasiow
85
9.4k
Side Projects
sachag
455
43k
[RailsConf 2023 Opening Keynote] The Magic of Rails
eileencodes
31
10k
The Organizational Zoo: Understanding Human Behavior Agility Through Metaphoric Constructive Conversations (based on the works of Arthur Shelley, Ph.D)
kimpetersen
PRO
0
280
Claude Code のすすめ
schroneko
67
220k
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