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
由Spanner來看Google資料庫的前世今生
Search
Szu-Kai Hsu (brucehsu)
November 07, 2012
Technology
4
280
由Spanner來看Google資料庫的前世今生
2012年秋,網際網路資料庫 @ 國立中正大學資工所
Szu-Kai Hsu (brucehsu)
November 07, 2012
Tweet
Share
More Decks by Szu-Kai Hsu (brucehsu)
See All by Szu-Kai Hsu (brucehsu)
Running Life Lean
brucehsu
0
170
Core Unleashed Part II: Introduction to GobiesVM (and STM) @ RubyKaigi 2014
brucehsu
0
2k
[RubyConf.tw 2014] Cores unleashed - Exploiting Parallelism in Ruby with STM
brucehsu
0
2.2k
用 Go 打造程式語言執行環境:實例剖析 [OSDC.tw 2014]
brucehsu
3
2.3k
pickbox @ OSDC.tw 2013 Lightning Talk
brucehsu
0
57
Building Web 2.0 APIs
brucehsu
1
150
Rapid Web Development by Example
brucehsu
3
3.1k
TechWed@CCU #0
brucehsu
2
510
Chromium OS
brucehsu
2
200
Other Decks in Technology
See All in Technology
HiMoR: Monocular Deformable Gaussian Reconstruction with Hierarchical Motion Representation
spatial_ai_network
0
110
フィンテック養成勉強会#54
finengine
0
180
変化する開発、進化する体系時代に適応するソフトウェアエンジニアの知識と考え方(JaSST'25 Kansai)
mizunori
1
230
Prox Industries株式会社 会社紹介資料
proxindustries
0
310
Amazon S3標準/ S3 Tables/S3 Express One Zoneを使ったログ分析
shigeruoda
4
540
PHP開発者のためのSOLID原則再入門 #phpcon / PHP Conference Japan 2025
shogogg
4
840
Amazon Bedrockで実現する 新たな学習体験
kzkmaeda
2
580
AWS Summit Japan 2025 Community Stage - App workflow automation by AWS Step Functions
matsuihidetoshi
1
280
OpenHands🤲にContributeしてみた
kotauchisunsun
1
460
Node-REDのFunctionノードでMCPサーバーの実装を試してみた / Node-RED × MCP 勉強会 vol.1
you
PRO
0
120
Tech-Verse 2025 Keynote
lycorptech_jp
PRO
0
220
Liquid Glass革新とSwiftUI/UIKit進化
fumiyasac0921
0
230
Featured
See All Featured
Chrome DevTools: State of the Union 2024 - Debugging React & Beyond
addyosmani
7
700
Refactoring Trust on Your Teams (GOTO; Chicago 2020)
rmw
34
3k
VelocityConf: Rendering Performance Case Studies
addyosmani
330
24k
jQuery: Nuts, Bolts and Bling
dougneiner
63
7.8k
Gamification - CAS2011
davidbonilla
81
5.3k
XXLCSS - How to scale CSS and keep your sanity
sugarenia
248
1.3M
Speed Design
sergeychernyshev
32
1k
Code Review Best Practice
trishagee
68
18k
Build your cross-platform service in a week with App Engine
jlugia
231
18k
ピンチをチャンスに:未来をつくるプロダクトロードマップ #pmconf2020
aki_iinuma
124
52k
Testing 201, or: Great Expectations
jmmastey
42
7.5k
Building Applications with DynamoDB
mza
95
6.5k
Transcript
由 Spanner來看 Google資料庫 的 前世今⽣生 Szu-Kai Hsu (brucehsu)
Spanner is a scalable multi-version globally-distributed synchronously-replicated database
BigTable
Handling
Handling really
Handling really BIG DATA
key-value
key-value { “CCU”: “123”, “NCTU”: “113”, “NTU”: “112” }; key
key-value { “CCU”: “123”, “NCTU”: “113”, “NTU”: “112” }; value
distributed
Lack of transaction, think of our first project.
CAP
C A P
Consistency A P
Consistency Availability P
Consistency Availability Partition tolerance
Consistency Availability Partition tolerance Consistency
Megastore
NoSQL datastores are highly scalable, but their limited API and
loose consistency models complicate application development. “ “
In Megastore, data model is declared in a strong-typed schema
strong-typed schema CREATE TABLE User { required int64 user_id; required string name; } PRIMARY KEY(user_id), ENTITY GROUP ROOT;
Based on BigTable BigTable
PRIMARY user_id PRIMARY user_id, nyan_id
Local and Global Indexes are introduced: Local Index Find corresponding
data in entity group Global Index Find corresponding data in external groups Local Index Global Index
(user_id, born,nyan_id) For local index CREATE LOCAL INDEX NyanByBorn ON
Nyan(user_id, born); CREATE LOCAL INDEX NyanByBorn ON Nyan(user_id, born);
Consistency achieved via Paxos algorithm Paxos 2 Replicas 1 Witness
At least
Replica consists of Replication server and Coordinator Replication server Coordinator
write oversee
Witness’ Replication server only writes logs logs
Average Latency: 100-400ms Poor write throughput 100-400ms
Spanner ,finally.
We believe it is better to have application programmers deal
with performance problems due to overuse of transactions as bottlenecks arise, rather than always coding around the lack of transactions. “ “
Data model is almost identical to Megastore almost identical Basic
unit defined as Directory Directory
Data model is almost identical to Megastore almost identical Basic
unit defined as Directory Directory Same prefix key, therefore adjacent
Data model is almost identical to Megastore almost identical Basic
unit defined as Directory Directory Same prefix key, therefore adjacent Fine-grained mapping
Data model is almost identical to Megastore almost identical Basic
unit defined as Directory Directory Same prefix key, therefore adjacent Fine-grained mapping Interleaved rows gain performance
Two-phase commit for distributed transactions Two-phase commit 1Vote Coordinator Participants
Two-phase commit for distributed transactions Two-phase commit 2Commit Coordinator Participants
Locking remains a big issue Locking Especially when someone went
down, causing deadlock, literally.
Paxos is here to rescue, again Paxos will make sure
ALL logs are copied to every replicas. ALL logs
Real Innovation lies in time TrueTime API utilizes atomic clock
& GPS to determine the order of each transactions atomic clock GPS
NewSQL is the new NoSQL and Spanner is the best
example so far.