SlideShare a Scribd company logo
1 of 63
Build High Performance
     Weibo System
        @TimYang
•
    • 140
    •
    •
•    QCon 2010

•   WDC 2010
Agenda
3        4




2        1
Part 1
(   )
MySQL


•
•
•   hash

•
•          user_timeline index
•
•
    •
    •   5

•
MySQL + cache
•
•
• cache
  •
  •
NoSQL

“Databases are specializing – the “one
size fits all” approach no longer applies.”


                          MongoDB
NoSQL?
•
    • Redis
    • MongoDB
•
    • Cassandra
• MongoDB
• Redis
• HBase
• Cassandra
Redis -
•
    • snapshot -
    • vm -
    • diskstore -
    • aof -
Redis -

• string: key value redisObject 16 bytes/item
• list:           40 bytes / item

• hash: zipmap(<64)
• set/sorted set
Redis - Replication


•    rdb

•
Redis -
Redis -

•
•                       failover

•   list/set       (optional)
• MySQL
• NoSQL   MySQL   cache
Part 2
(   )
→   →
Web     cache


    cache



•
“Web         json                  cache
                    json
       (              )            2~5K
 ,     xml    10k          ,   protobuf
               500             ”
RDBMS→
Key value (JSON)→
Protocol buffers(binary)
JSON

• DB
• Cache
• Message Queue
• API
PB

• Numeric: varint, from 1 byte
•
•               Java, C++, Python...
•
•      cache



    • “192.168.0.1” → “0xc0a80000” → varint
Benchmark


                        Text
                         Text




(   http://code.google.com/p/thrift-protobuf-compare/wiki/Benchmarking)
“We would like to provide public APIs that
accept protocol buffers as well as XML, both
because it is more efficient and because we're
just going to convert that XML to protocol
buffers on our end anyway.”
                            - Google
•
•

•
“   ”
•   LAMP



•          1ms



•
• MQ stat
• MQ Processor stat
?

“1   ”
• Timeline

•
•
    •    cache
1.

2.

3.

4.   cache             master

5.       replication
•   5
•   5

•
•       5

•
    •
•       5

•
    •
    •
• RAM is the new disk
•
“Percona Server now both SQL and NOSQL
HandlerSocket,
100     rps    12cores/24threads and
380GB of RAM, mysql
Redis                         NoSQL
        ”
@jackbillow “ 1.   PK   lookup 2.      cache
               ”



@kobe    “                  innodb
               ”



@TimYang “
InnoDB             Adaptive Hash Indexes
hash                                       ”
•      NoSQL

    •                       binlog    Redis

    • jbinlog https://github.com/tangfl/jbinlog
Part 3
app
•
    •
    • spam
•
•
Text
•
• GZIP
•
Part 4
“@       Zheng:“


                                       ” //@   :



@bian                  " " http://t.cn/h0k4r
 (49)|             (15)”



                   2   14   10:36    (22) |    (10)
•
•
•
    •
    •
    •
•
    •
    •
    • cache
•
•

•
Timeline




           Memcached   MySQL


            Redis
•
•   RAM

•
Q&A

@TimYang

More Related Content

What's hot

검색엔진이 데이터를 다루는 법 김종민
검색엔진이 데이터를 다루는 법 김종민검색엔진이 데이터를 다루는 법 김종민
검색엔진이 데이터를 다루는 법 김종민종민 김
 
滲透測試 Talk @ Nisra
滲透測試 Talk @ Nisra滲透測試 Talk @ Nisra
滲透測試 Talk @ NisraOrange Tsai
 
Oak, the architecture of Apache Jackrabbit 3
Oak, the architecture of Apache Jackrabbit 3Oak, the architecture of Apache Jackrabbit 3
Oak, the architecture of Apache Jackrabbit 3Jukka Zitting
 
Java Tutorial:Learn Java in 06:00:00
Java Tutorial:Learn Java in 06:00:00Java Tutorial:Learn Java in 06:00:00
Java Tutorial:Learn Java in 06:00:00Justin Lin
 
網頁安全 Web security 入門 @ Study-Area
網頁安全 Web security 入門 @ Study-Area網頁安全 Web security 入門 @ Study-Area
網頁安全 Web security 入門 @ Study-AreaOrange Tsai
 
深入淺出 Web 容器 - Tomcat 原始碼分析
深入淺出 Web 容器  - Tomcat 原始碼分析深入淺出 Web 容器  - Tomcat 原始碼分析
深入淺出 Web 容器 - Tomcat 原始碼分析Justin Lin
 
Content Storage With Apache Jackrabbit
Content Storage With Apache JackrabbitContent Storage With Apache Jackrabbit
Content Storage With Apache JackrabbitJukka Zitting
 
Binary exploitation - AIS3
Binary exploitation - AIS3Binary exploitation - AIS3
Binary exploitation - AIS3Angel Boy
 
企業資源規劃(Erp)系統導入規劃
企業資源規劃(Erp)系統導入規劃企業資源規劃(Erp)系統導入規劃
企業資源規劃(Erp)系統導入規劃Simon Huang
 
[2018] 진화하는 위협, DDoS 트렌드와 방어
[2018] 진화하는 위협, DDoS 트렌드와 방어[2018] 진화하는 위협, DDoS 트렌드와 방어
[2018] 진화하는 위협, DDoS 트렌드와 방어NHN FORWARD
 
Datadog: a Real-Time Metrics Database for One Quadrillion Points/Day
Datadog: a Real-Time Metrics Database for One Quadrillion Points/DayDatadog: a Real-Time Metrics Database for One Quadrillion Points/Day
Datadog: a Real-Time Metrics Database for One Quadrillion Points/DayC4Media
 
대용량 분산 아키텍쳐 설계 #3 대용량 분산 시스템 아키텍쳐
대용량 분산 아키텍쳐 설계 #3 대용량 분산 시스템 아키텍쳐대용량 분산 아키텍쳐 설계 #3 대용량 분산 시스템 아키텍쳐
대용량 분산 아키텍쳐 설계 #3 대용량 분산 시스템 아키텍쳐Terry Cho
 
Hive on spark is blazing fast or is it final
Hive on spark is blazing fast or is it finalHive on spark is blazing fast or is it final
Hive on spark is blazing fast or is it finalHortonworks
 
Life in a Queue - Using Message Queue with django
Life in a Queue - Using Message Queue with djangoLife in a Queue - Using Message Queue with django
Life in a Queue - Using Message Queue with djangoTareque Hossain
 
Cephfs jewel mds performance benchmark
Cephfs jewel mds performance benchmarkCephfs jewel mds performance benchmark
Cephfs jewel mds performance benchmarkXiaoxi Chen
 
ORC File - Optimizing Your Big Data
ORC File - Optimizing Your Big DataORC File - Optimizing Your Big Data
ORC File - Optimizing Your Big DataDataWorks Summit
 
Building robust CDC pipeline with Apache Hudi and Debezium
Building robust CDC pipeline with Apache Hudi and DebeziumBuilding robust CDC pipeline with Apache Hudi and Debezium
Building robust CDC pipeline with Apache Hudi and DebeziumTathastu.ai
 
Garbage First Garbage Collector (G1 GC) - Migration to, Expectations and Adva...
Garbage First Garbage Collector (G1 GC) - Migration to, Expectations and Adva...Garbage First Garbage Collector (G1 GC) - Migration to, Expectations and Adva...
Garbage First Garbage Collector (G1 GC) - Migration to, Expectations and Adva...Monica Beckwith
 
企業資源規劃(Erp)系統實務2.0
企業資源規劃(Erp)系統實務2.0企業資源規劃(Erp)系統實務2.0
企業資源規劃(Erp)系統實務2.0Simon Huang
 
Linux Binary Exploitation - Return-oritend Programing
Linux Binary Exploitation - Return-oritend ProgramingLinux Binary Exploitation - Return-oritend Programing
Linux Binary Exploitation - Return-oritend ProgramingAngel Boy
 

What's hot (20)

검색엔진이 데이터를 다루는 법 김종민
검색엔진이 데이터를 다루는 법 김종민검색엔진이 데이터를 다루는 법 김종민
검색엔진이 데이터를 다루는 법 김종민
 
滲透測試 Talk @ Nisra
滲透測試 Talk @ Nisra滲透測試 Talk @ Nisra
滲透測試 Talk @ Nisra
 
Oak, the architecture of Apache Jackrabbit 3
Oak, the architecture of Apache Jackrabbit 3Oak, the architecture of Apache Jackrabbit 3
Oak, the architecture of Apache Jackrabbit 3
 
Java Tutorial:Learn Java in 06:00:00
Java Tutorial:Learn Java in 06:00:00Java Tutorial:Learn Java in 06:00:00
Java Tutorial:Learn Java in 06:00:00
 
網頁安全 Web security 入門 @ Study-Area
網頁安全 Web security 入門 @ Study-Area網頁安全 Web security 入門 @ Study-Area
網頁安全 Web security 入門 @ Study-Area
 
深入淺出 Web 容器 - Tomcat 原始碼分析
深入淺出 Web 容器  - Tomcat 原始碼分析深入淺出 Web 容器  - Tomcat 原始碼分析
深入淺出 Web 容器 - Tomcat 原始碼分析
 
Content Storage With Apache Jackrabbit
Content Storage With Apache JackrabbitContent Storage With Apache Jackrabbit
Content Storage With Apache Jackrabbit
 
Binary exploitation - AIS3
Binary exploitation - AIS3Binary exploitation - AIS3
Binary exploitation - AIS3
 
企業資源規劃(Erp)系統導入規劃
企業資源規劃(Erp)系統導入規劃企業資源規劃(Erp)系統導入規劃
企業資源規劃(Erp)系統導入規劃
 
[2018] 진화하는 위협, DDoS 트렌드와 방어
[2018] 진화하는 위협, DDoS 트렌드와 방어[2018] 진화하는 위협, DDoS 트렌드와 방어
[2018] 진화하는 위협, DDoS 트렌드와 방어
 
Datadog: a Real-Time Metrics Database for One Quadrillion Points/Day
Datadog: a Real-Time Metrics Database for One Quadrillion Points/DayDatadog: a Real-Time Metrics Database for One Quadrillion Points/Day
Datadog: a Real-Time Metrics Database for One Quadrillion Points/Day
 
대용량 분산 아키텍쳐 설계 #3 대용량 분산 시스템 아키텍쳐
대용량 분산 아키텍쳐 설계 #3 대용량 분산 시스템 아키텍쳐대용량 분산 아키텍쳐 설계 #3 대용량 분산 시스템 아키텍쳐
대용량 분산 아키텍쳐 설계 #3 대용량 분산 시스템 아키텍쳐
 
Hive on spark is blazing fast or is it final
Hive on spark is blazing fast or is it finalHive on spark is blazing fast or is it final
Hive on spark is blazing fast or is it final
 
Life in a Queue - Using Message Queue with django
Life in a Queue - Using Message Queue with djangoLife in a Queue - Using Message Queue with django
Life in a Queue - Using Message Queue with django
 
Cephfs jewel mds performance benchmark
Cephfs jewel mds performance benchmarkCephfs jewel mds performance benchmark
Cephfs jewel mds performance benchmark
 
ORC File - Optimizing Your Big Data
ORC File - Optimizing Your Big DataORC File - Optimizing Your Big Data
ORC File - Optimizing Your Big Data
 
Building robust CDC pipeline with Apache Hudi and Debezium
Building robust CDC pipeline with Apache Hudi and DebeziumBuilding robust CDC pipeline with Apache Hudi and Debezium
Building robust CDC pipeline with Apache Hudi and Debezium
 
Garbage First Garbage Collector (G1 GC) - Migration to, Expectations and Adva...
Garbage First Garbage Collector (G1 GC) - Migration to, Expectations and Adva...Garbage First Garbage Collector (G1 GC) - Migration to, Expectations and Adva...
Garbage First Garbage Collector (G1 GC) - Migration to, Expectations and Adva...
 
企業資源規劃(Erp)系統實務2.0
企業資源規劃(Erp)系統實務2.0企業資源規劃(Erp)系統實務2.0
企業資源規劃(Erp)系統實務2.0
 
Linux Binary Exploitation - Return-oritend Programing
Linux Binary Exploitation - Return-oritend ProgramingLinux Binary Exploitation - Return-oritend Programing
Linux Binary Exploitation - Return-oritend Programing
 

Viewers also liked

百姓网如何优化网速-Qcon2011
百姓网如何优化网速-Qcon2011百姓网如何优化网速-Qcon2011
百姓网如何优化网速-Qcon2011Yiwei Ma
 
Yupoo! (花瓣网/又拍云) 架构中的消息与任务系统
Yupoo! (花瓣网/又拍云) 架构中的消息与任务系统Yupoo! (花瓣网/又拍云) 架构中的消息与任务系统
Yupoo! (花瓣网/又拍云) 架构中的消息与任务系统Dahui Feng
 
周爱民 关于架构之我的观点
周爱民 关于架构之我的观点周爱民 关于架构之我的观点
周爱民 关于架构之我的观点George Ang
 
天涯论坛的技术进化史-Qcon2011
天涯论坛的技术进化史-Qcon2011天涯论坛的技术进化史-Qcon2011
天涯论坛的技术进化史-Qcon2011Yiwei Ma
 
构建可扩展的微博系统
构建可扩展的微博系统构建可扩展的微博系统
构建可扩展的微博系统airsex
 
高性能并发Web服务器实现核心内幕
高性能并发Web服务器实现核心内幕高性能并发Web服务器实现核心内幕
高性能并发Web服务器实现核心内幕ideawu
 
艺龙旅行网架构案例分享-Qcon2011
艺龙旅行网架构案例分享-Qcon2011艺龙旅行网架构案例分享-Qcon2011
艺龙旅行网架构案例分享-Qcon2011Yiwei Ma
 
Scalable Web Architectures: Common Patterns and Approaches - Web 2.0 Expo NYC
Scalable Web Architectures: Common Patterns and Approaches - Web 2.0 Expo NYCScalable Web Architectures: Common Patterns and Approaches - Web 2.0 Expo NYC
Scalable Web Architectures: Common Patterns and Approaches - Web 2.0 Expo NYCCal Henderson
 
Qcon 2011:Beansdb 的设计与实现
Qcon 2011:Beansdb 的设计与实现Qcon 2011:Beansdb 的设计与实现
Qcon 2011:Beansdb 的设计与实现Davies Liu
 

Viewers also liked (9)

百姓网如何优化网速-Qcon2011
百姓网如何优化网速-Qcon2011百姓网如何优化网速-Qcon2011
百姓网如何优化网速-Qcon2011
 
Yupoo! (花瓣网/又拍云) 架构中的消息与任务系统
Yupoo! (花瓣网/又拍云) 架构中的消息与任务系统Yupoo! (花瓣网/又拍云) 架构中的消息与任务系统
Yupoo! (花瓣网/又拍云) 架构中的消息与任务系统
 
周爱民 关于架构之我的观点
周爱民 关于架构之我的观点周爱民 关于架构之我的观点
周爱民 关于架构之我的观点
 
天涯论坛的技术进化史-Qcon2011
天涯论坛的技术进化史-Qcon2011天涯论坛的技术进化史-Qcon2011
天涯论坛的技术进化史-Qcon2011
 
构建可扩展的微博系统
构建可扩展的微博系统构建可扩展的微博系统
构建可扩展的微博系统
 
高性能并发Web服务器实现核心内幕
高性能并发Web服务器实现核心内幕高性能并发Web服务器实现核心内幕
高性能并发Web服务器实现核心内幕
 
艺龙旅行网架构案例分享-Qcon2011
艺龙旅行网架构案例分享-Qcon2011艺龙旅行网架构案例分享-Qcon2011
艺龙旅行网架构案例分享-Qcon2011
 
Scalable Web Architectures: Common Patterns and Approaches - Web 2.0 Expo NYC
Scalable Web Architectures: Common Patterns and Approaches - Web 2.0 Expo NYCScalable Web Architectures: Common Patterns and Approaches - Web 2.0 Expo NYC
Scalable Web Architectures: Common Patterns and Approaches - Web 2.0 Expo NYC
 
Qcon 2011:Beansdb 的设计与实现
Qcon 2011:Beansdb 的设计与实现Qcon 2011:Beansdb 的设计与实现
Qcon 2011:Beansdb 的设计与实现
 

Similar to High Performance Weibo QCon Beijing 2011

视觉中国的MongoDB应用实践(QConBeijing2011)
视觉中国的MongoDB应用实践(QConBeijing2011)视觉中国的MongoDB应用实践(QConBeijing2011)
视觉中国的MongoDB应用实践(QConBeijing2011)Night Sailer
 
BuilHigh Performance Weibo Platform-Qcon2011
BuilHigh Performance Weibo Platform-Qcon2011BuilHigh Performance Weibo Platform-Qcon2011
BuilHigh Performance Weibo Platform-Qcon2011Yiwei Ma
 
MongoDB开发应用实践
MongoDB开发应用实践MongoDB开发应用实践
MongoDB开发应用实践iammutex
 
ActiveMQ 5.9.x new features
ActiveMQ 5.9.x new featuresActiveMQ 5.9.x new features
ActiveMQ 5.9.x new featuresChristian Posta
 
Storage Engine Wars at Parse
Storage Engine Wars at ParseStorage Engine Wars at Parse
Storage Engine Wars at ParseMongoDB
 
Mongo db admin_20110329
Mongo db admin_20110329Mongo db admin_20110329
Mongo db admin_20110329radiocats
 
Using Spring with NoSQL databases (SpringOne China 2012)
Using Spring with NoSQL databases (SpringOne China 2012)Using Spring with NoSQL databases (SpringOne China 2012)
Using Spring with NoSQL databases (SpringOne China 2012)Chris Richardson
 
ログ収集プラットフォーム開発におけるElasticsearchの運用
ログ収集プラットフォーム開発におけるElasticsearchの運用ログ収集プラットフォーム開発におけるElasticsearchの運用
ログ収集プラットフォーム開発におけるElasticsearchの運用LINE Corporation
 
Living with SQL and NoSQL at craigslist, a Pragmatic Approach
Living with SQL and NoSQL at craigslist, a Pragmatic ApproachLiving with SQL and NoSQL at craigslist, a Pragmatic Approach
Living with SQL and NoSQL at craigslist, a Pragmatic ApproachJeremy Zawodny
 
Getting started with Riak in the Cloud
Getting started with Riak in the CloudGetting started with Riak in the Cloud
Getting started with Riak in the CloudInes Sombra
 
How does Apache Pegasus (incubating) community develop at SensorsData
How does Apache Pegasus (incubating) community develop at SensorsDataHow does Apache Pegasus (incubating) community develop at SensorsData
How does Apache Pegasus (incubating) community develop at SensorsDataacelyc1112009
 
Tup2 新浪杨卫华
Tup2 新浪杨卫华Tup2 新浪杨卫华
Tup2 新浪杨卫华yongboy
 
杨卫华:微博cache设计浅谈
杨卫华:微博cache设计浅谈杨卫华:微博cache设计浅谈
杨卫华:微博cache设计浅谈Leechael
 
Scala at foursquare
Scala at foursquareScala at foursquare
Scala at foursquarejorgeortiz85
 
Key-Value-Stores -- The Key to Scaling?
Key-Value-Stores -- The Key to Scaling?Key-Value-Stores -- The Key to Scaling?
Key-Value-Stores -- The Key to Scaling?Tim Lossen
 
Meetup#2: Building responsive Symbology & Suggest WebService
Meetup#2: Building responsive Symbology & Suggest WebServiceMeetup#2: Building responsive Symbology & Suggest WebService
Meetup#2: Building responsive Symbology & Suggest WebServiceMinsk MongoDB User Group
 

Similar to High Performance Weibo QCon Beijing 2011 (20)

视觉中国的MongoDB应用实践(QConBeijing2011)
视觉中国的MongoDB应用实践(QConBeijing2011)视觉中国的MongoDB应用实践(QConBeijing2011)
视觉中国的MongoDB应用实践(QConBeijing2011)
 
BuilHigh Performance Weibo Platform-Qcon2011
BuilHigh Performance Weibo Platform-Qcon2011BuilHigh Performance Weibo Platform-Qcon2011
BuilHigh Performance Weibo Platform-Qcon2011
 
MongoDB开发应用实践
MongoDB开发应用实践MongoDB开发应用实践
MongoDB开发应用实践
 
ActiveMQ 5.9.x new features
ActiveMQ 5.9.x new featuresActiveMQ 5.9.x new features
ActiveMQ 5.9.x new features
 
KeyValue Stores
KeyValue StoresKeyValue Stores
KeyValue Stores
 
Storage Engine Wars at Parse
Storage Engine Wars at ParseStorage Engine Wars at Parse
Storage Engine Wars at Parse
 
Mongo db admin_20110329
Mongo db admin_20110329Mongo db admin_20110329
Mongo db admin_20110329
 
Using Spring with NoSQL databases (SpringOne China 2012)
Using Spring with NoSQL databases (SpringOne China 2012)Using Spring with NoSQL databases (SpringOne China 2012)
Using Spring with NoSQL databases (SpringOne China 2012)
 
ログ収集プラットフォーム開発におけるElasticsearchの運用
ログ収集プラットフォーム開発におけるElasticsearchの運用ログ収集プラットフォーム開発におけるElasticsearchの運用
ログ収集プラットフォーム開発におけるElasticsearchの運用
 
Drop acid
Drop acidDrop acid
Drop acid
 
Living with SQL and NoSQL at craigslist, a Pragmatic Approach
Living with SQL and NoSQL at craigslist, a Pragmatic ApproachLiving with SQL and NoSQL at craigslist, a Pragmatic Approach
Living with SQL and NoSQL at craigslist, a Pragmatic Approach
 
Getting started with Riak in the Cloud
Getting started with Riak in the CloudGetting started with Riak in the Cloud
Getting started with Riak in the Cloud
 
How does Apache Pegasus (incubating) community develop at SensorsData
How does Apache Pegasus (incubating) community develop at SensorsDataHow does Apache Pegasus (incubating) community develop at SensorsData
How does Apache Pegasus (incubating) community develop at SensorsData
 
Why MariaDB?
Why MariaDB?Why MariaDB?
Why MariaDB?
 
Tup2 新浪杨卫华
Tup2 新浪杨卫华Tup2 新浪杨卫华
Tup2 新浪杨卫华
 
杨卫华:微博cache设计浅谈
杨卫华:微博cache设计浅谈杨卫华:微博cache设计浅谈
杨卫华:微博cache设计浅谈
 
Scala at foursquare
Scala at foursquareScala at foursquare
Scala at foursquare
 
Wmware NoSQL
Wmware NoSQLWmware NoSQL
Wmware NoSQL
 
Key-Value-Stores -- The Key to Scaling?
Key-Value-Stores -- The Key to Scaling?Key-Value-Stores -- The Key to Scaling?
Key-Value-Stores -- The Key to Scaling?
 
Meetup#2: Building responsive Symbology & Suggest WebService
Meetup#2: Building responsive Symbology & Suggest WebServiceMeetup#2: Building responsive Symbology & Suggest WebService
Meetup#2: Building responsive Symbology & Suggest WebService
 

Recently uploaded

Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Enterprise Knowledge
 
CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):comworks
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxNavinnSomaal
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Patryk Bandurski
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek SchlawackFwdays
 
Story boards and shot lists for my a level piece
Story boards and shot lists for my a level pieceStory boards and shot lists for my a level piece
Story boards and shot lists for my a level piececharlottematthew16
 
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr LapshynFwdays
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenHervé Boutemy
 
Powerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time ClashPowerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time Clashcharlottematthew16
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii SoldatenkoFwdays
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
Training state-of-the-art general text embedding
Training state-of-the-art general text embeddingTraining state-of-the-art general text embedding
Training state-of-the-art general text embeddingZilliz
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyAlfredo García Lavilla
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubKalema Edgar
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLScyllaDB
 
Search Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfSearch Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfRankYa
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Mark Simos
 

Recently uploaded (20)

Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024
 
CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptx
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
 
Story boards and shot lists for my a level piece
Story boards and shot lists for my a level pieceStory boards and shot lists for my a level piece
Story boards and shot lists for my a level piece
 
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache Maven
 
Powerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time ClashPowerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time Clash
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
Training state-of-the-art general text embedding
Training state-of-the-art general text embeddingTraining state-of-the-art general text embedding
Training state-of-the-art general text embedding
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easy
 
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptxE-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
 
DMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special EditionDMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special Edition
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding Club
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQL
 
Search Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfSearch Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdf
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
 

High Performance Weibo QCon Beijing 2011

Editor's Notes

  1. \n
  2. \n
  3. \n
  4. \n
  5. \n
  6. \n
  7. \n
  8. &amp;#x7EC6;&amp;#x5316;&amp;#x7D22;&amp;#x5F15;&amp;#x62C6;&amp;#x5206;\n
  9. \n
  10. \n
  11. \n
  12. \n
  13. \n
  14. &amp;#x6BD4;&amp;#x8F83;&amp;#x56FE;&amp;#x8868;\n
  15. \n
  16. \n
  17. \n
  18. \n
  19. \n
  20. \n
  21. \n
  22. \n
  23. \n
  24. \n
  25. \n
  26. \n
  27. \n
  28. json&amp;#x53CA;&amp;#x6027;&amp;#x80FD;&amp;#x5BF9;&amp;#x6BD4;\n
  29. \n
  30. \n
  31. \n
  32. &amp;#x76F8;&amp;#x540C;&amp;#x7A7A;&amp;#x95F4;&amp;#xFF0C;5&amp;#x500D;&amp;#x5BB9;&amp;#x91CF;\n
  33. \n
  34. \n
  35. \n
  36. \n
  37. \n
  38. \n
  39. \n
  40. \n
  41. \n
  42. \n
  43. \n
  44. \n
  45. \n
  46. \n
  47. \n
  48. \n
  49. \n
  50. &amp;#x589E;&amp;#x52A0;&amp;#x56FE;&amp;#x8868;&amp;#x7B49;&amp;#x63A5;&amp;#x53E3;&amp;#x6210;&amp;#x679C;\n
  51. \n
  52. \n
  53. \n
  54. \n
  55. \n
  56. \n
  57. \n
  58. &amp;#x8FC5;&amp;#x901F;&amp;#x5B9A;&amp;#x4F4D;\n
  59. \n
  60. \n
  61. \n
  62. \n