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
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
標準パッケージに uuid が追加された 背景から見る Go らしい意思決定 / go_127_uuid_decision
convto
3
2.6k
What We Talk About When We Talk About XP
m_seki
2
390
AI Agent時代のリアーキテクチャ戦略と実践
hokaccha
1
230
[DroidKaigi 2026] Bring your own phones to Gradle Managed Devices
f2lk
0
110
【DroidKaigi 2026】「アクセシビリティを利用するとき、 アクセシビリティもまたこちらを利用している」 〜マルウェアによる攻撃と防衛について〜
halunoyo
0
410
PyConJP2026_wat_Python × Signal Processing: How to Draw Pictures with Sound Using Spectrogram Art
wat
0
680
AIに既存システムを理解させる技術 ~レガシーを見捨てないハーネスエンジニアリング入門~
ochtum
0
210
デプロイ直後のレイテンシスパイクを調べたら、 Railsの仕様にたどり着いた
nhsykym
0
110
アクセシビリティから考える情報設計
high_g_engineer
0
300
tsc.rip を支える技術 / Kyoto.なんか #8
susisu
0
4.3k
Can LLMs Replicate 4 Years of Compose Migration? Exploring the boundaries of automation with 279 XML files from a real product
makun
0
130
自分的「カンファレンスの楽しみ方」
syumai
0
190
Featured
See All Featured
The Illustrated Children's Guide to Kubernetes
chrisshort
51
53k
How to train your dragon (web standard)
notwaldorf
97
6.8k
Lightning talk: Run Django tests with GitHub Actions
sabderemane
0
250
Speed Design
sergeychernyshev
33
2.1k
Git: the NoSQL Database
bkeepers
PRO
432
67k
16th Malabo Montpellier Forum Presentation
akademiya2063
PRO
0
370
Sam Torres - BigQuery for SEOs
techseoconnect
PRO
0
540
The #1 spot is gone: here's how to win anyway
tamaranovitovic
3
1.2k
Collaborative Software Design: How to facilitate domain modelling decisions
baasie
1
310
Discover your Explorer Soul
emna__ayadi
2
1.3k
Designing Dashboards & Data Visualisations in Web Apps
destraynor
232
55k
Kristin Tynski - Automating Marketing Tasks With AI
techseoconnect
PRO
0
510
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