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
290
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
2.1k
[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
2.4k
pickbox @ OSDC.tw 2013 Lightning Talk
brucehsu
0
59
Building Web 2.0 APIs
brucehsu
1
150
Rapid Web Development by Example
brucehsu
3
3.1k
TechWed@CCU #0
brucehsu
2
520
Chromium OS
brucehsu
2
200
Other Decks in Technology
See All in Technology
Adminaで実現するISMS/SOC2運用の効率化 〜 アカウント管理編 〜
shonansurvivors
4
450
Digitization部 紹介資料
sansan33
PRO
1
5.6k
CoRL 2025 Survey
harukiabe
1
210
Introduction to Sansan for Engineers / エンジニア向け会社紹介
sansan33
PRO
5
43k
Findy Team+ QAチーム これからのチャレンジ!
findy_eventslides
0
400
incident_commander_demaecan__1_.pdf
demaecan
0
160
20251007: What happens when multi-agent systems become larger? (CyberAgent, Inc)
ornew
1
300
『バイトル』CTOが語る! AIネイティブ世代と切り拓くモノづくり組織
dip_tech
PRO
1
130
プロダクトのコードから見るGoによるデザインパターンの実践 #go_night_talk
bengo4com
1
2.6k
ガバメントクラウドの概要と自治体事例(名古屋市)
techniczna
3
240
それでも私が品質保証プロセスを作り続ける理由 #テストラジオ / Why I still continue to create QA process
pineapplecandy
0
110
Liquid AI Hackathon Tokyo プレゼン資料
aratako
0
110
Featured
See All Featured
We Have a Design System, Now What?
morganepeng
53
7.8k
Context Engineering - Making Every Token Count
addyosmani
7
260
Building a Modern Day E-commerce SEO Strategy
aleyda
44
7.8k
The Straight Up "How To Draw Better" Workshop
denniskardys
238
140k
Optimising Largest Contentful Paint
csswizardry
37
3.5k
Docker and Python
trallard
46
3.6k
Build your cross-platform service in a week with App Engine
jlugia
232
18k
Fantastic passwords and where to find them - at NoRuKo
philnash
52
3.4k
Statistics for Hackers
jakevdp
799
220k
Put a Button on it: Removing Barriers to Going Fast.
kastner
60
4k
Six Lessons from altMBA
skipperchong
29
4k
How to train your dragon (web standard)
notwaldorf
97
6.3k
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.