SlideShare une entreprise Scribd logo
1  sur  16
Télécharger pour lire hors ligne
I want my data out: streaming + observable + 
paging 
Christopher Batey 
@chbatey 
©2013 DataStax Confidential. Do not distribute without consent. 
1
Who am I? 
•Technical Evangelist for Apache Cassandra 
• Founder of Stubbed Cassandra 
• Help out Apache Cassandra users 
• Previous: Senior software engineer @ BSkyB
Cassandra is great because… 
• What was once hard is now easy! 
• More and more features that aren’t part of 
its core competency
Your favourite - OutOfMemory 
Application C Big Query
Your favourite - OutOfMemory 
Application C Big Query
Your favourite - OutOfMemory 
Uh oh, OutOfMemory 
Application C Big Query
Your favourite - OutOfMemory 
Uh oh, OutOfMemory 
Application C Big Query
Okay so 2 gb queries aren’t 
recommended?
Manual paging 
WEB 
Your Application 
DAO 
Lots of small queries 
Super C* 
Blocking 
Queue
Server side paging = awesome
Your favourite - OutOfMemory 
Uh oh, OutOfMemory 
Application C Big Query
Not so manual paging 
Your Application 
Super awesome paging query! 
C*
ResultSet + Observable = Awesome 
public Observable<CustomerEvent> getCustomerEventsObservable(String customerId) { 
BoundStatement boundStatement = getEventsForCustomer.bind(customerId); 
ListenableFuture<ResultSet> resultSetFuture = session.executeAsync(boundStatement); 
Observable<ResultSet> observable = 
Observable.from(resultSetFuture, Schedulers.io()); 
Observable<Row> rowObservable = observable.flatMapIterable(result -> result); 
return rowObservable.map(row -> new CustomerEvent( 
row.getString("customer_id"), 
row.getUUID("time"), 
row.getString("staff_id"), 
row.getString("store_type"), 
row.getString("event_type"), 
row.getMap("tags", String.class, String.class))); 
} 
p
ResultSet + Observable = Awesome 
Observable<CustomerEvent> chbatey = customerEventDao.getCustomerEventsObservable("chbatey"); 
chbatey.doOnCompleted(() -> { 
try { outputStream.close(); } catch (IOException e) { } 
}); 
chbatey.subscribe(event -> { 
try { outputStream.write(event.serialise()); } catch (IOException e) { } 
});
Manual paging 
WEB 
Your Application 
DAO 
Lots of small queries 
Super C* 
Blocking 
Queue
Thanks for listening 
@chbatey 
http://christopher-batey.blogspot.co.uk

Contenu connexe

Tendances

MongoDB: tips, trick and hacks
MongoDB: tips, trick and hacksMongoDB: tips, trick and hacks
MongoDB: tips, trick and hacks
Scott Hernandez
 
Adventures in Multithreaded Core Data
Adventures in Multithreaded Core DataAdventures in Multithreaded Core Data
Adventures in Multithreaded Core Data
Inferis
 

Tendances (20)

Real World Mocking In Swift
Real World Mocking In SwiftReal World Mocking In Swift
Real World Mocking In Swift
 
MongoDB: tips, trick and hacks
MongoDB: tips, trick and hacksMongoDB: tips, trick and hacks
MongoDB: tips, trick and hacks
 
Meetup cassandra sfo_jdbc
Meetup cassandra sfo_jdbcMeetup cassandra sfo_jdbc
Meetup cassandra sfo_jdbc
 
Cracking JWT tokens: a tale of magic, Node.js and parallel computing - Code E...
Cracking JWT tokens: a tale of magic, Node.js and parallel computing - Code E...Cracking JWT tokens: a tale of magic, Node.js and parallel computing - Code E...
Cracking JWT tokens: a tale of magic, Node.js and parallel computing - Code E...
 
Beyond Profilers: Tracing Node.js Transactions
Beyond Profilers: Tracing Node.js TransactionsBeyond Profilers: Tracing Node.js Transactions
Beyond Profilers: Tracing Node.js Transactions
 
Javascript Everywhere
Javascript EverywhereJavascript Everywhere
Javascript Everywhere
 
servlets
servletsservlets
servlets
 
Adventures in Multithreaded Core Data
Adventures in Multithreaded Core DataAdventures in Multithreaded Core Data
Adventures in Multithreaded Core Data
 
Cross Domain Web
Mashups with JQuery and Google App Engine
Cross Domain Web
Mashups with JQuery and Google App EngineCross Domain Web
Mashups with JQuery and Google App Engine
Cross Domain Web
Mashups with JQuery and Google App Engine
 
Hector v2: The Second Version of the Popular High-Level Java Client for Apach...
Hector v2: The Second Version of the Popular High-Level Java Client for Apach...Hector v2: The Second Version of the Popular High-Level Java Client for Apach...
Hector v2: The Second Version of the Popular High-Level Java Client for Apach...
 
C#을 이용한 task 병렬화와 비동기 패턴
C#을 이용한 task 병렬화와 비동기 패턴C#을 이용한 task 병렬화와 비동기 패턴
C#을 이용한 task 병렬화와 비동기 패턴
 
High Performance Core Data
High Performance Core DataHigh Performance Core Data
High Performance Core Data
 
FwDays 2021: Metarhia Technology Stack for Node.js
FwDays 2021: Metarhia Technology Stack for Node.jsFwDays 2021: Metarhia Technology Stack for Node.js
FwDays 2021: Metarhia Technology Stack for Node.js
 
Mongoose and MongoDB 101
Mongoose and MongoDB 101Mongoose and MongoDB 101
Mongoose and MongoDB 101
 
Azure SQL Database - Connectivity Best Practices
Azure SQL Database - Connectivity Best PracticesAzure SQL Database - Connectivity Best Practices
Azure SQL Database - Connectivity Best Practices
 
[263] s2graph large-scale-graph-database-with-hbase-2
[263] s2graph large-scale-graph-database-with-hbase-2[263] s2graph large-scale-graph-database-with-hbase-2
[263] s2graph large-scale-graph-database-with-hbase-2
 
The State of JavaScript (2015)
The State of JavaScript (2015)The State of JavaScript (2015)
The State of JavaScript (2015)
 
All you need to know about the JavaScript event loop
All you need to know about the JavaScript event loopAll you need to know about the JavaScript event loop
All you need to know about the JavaScript event loop
 
MongoDB Chunks - Distribution, Splitting, and Merging
MongoDB Chunks - Distribution, Splitting, and MergingMongoDB Chunks - Distribution, Splitting, and Merging
MongoDB Chunks - Distribution, Splitting, and Merging
 
Multi-threaded CoreData Done Right
Multi-threaded CoreData Done RightMulti-threaded CoreData Done Right
Multi-threaded CoreData Done Right
 

Similaire à Cassandra Summit EU 2014 Lightning talk - Paging (no animation)

Socket applications
Socket applicationsSocket applications
Socket applications
João Moura
 

Similaire à Cassandra Summit EU 2014 Lightning talk - Paging (no animation) (20)

GDD Japan 2009 - Designing OpenSocial Apps For Speed and Scale
GDD Japan 2009 - Designing OpenSocial Apps For Speed and ScaleGDD Japan 2009 - Designing OpenSocial Apps For Speed and Scale
GDD Japan 2009 - Designing OpenSocial Apps For Speed and Scale
 
(BDT402) Performance Profiling in Production: Analyzing Web Requests at Scale...
(BDT402) Performance Profiling in Production: Analyzing Web Requests at Scale...(BDT402) Performance Profiling in Production: Analyzing Web Requests at Scale...
(BDT402) Performance Profiling in Production: Analyzing Web Requests at Scale...
 
SMC304 Serverless Orchestration with AWS Step Functions
SMC304 Serverless Orchestration with AWS Step FunctionsSMC304 Serverless Orchestration with AWS Step Functions
SMC304 Serverless Orchestration with AWS Step Functions
 
Socket applications
Socket applicationsSocket applications
Socket applications
 
Transients are good for you - WordCamp London 2016
Transients are good for you - WordCamp London 2016Transients are good for you - WordCamp London 2016
Transients are good for you - WordCamp London 2016
 
Continuous Deployment: The Dirty Details
Continuous Deployment: The Dirty DetailsContinuous Deployment: The Dirty Details
Continuous Deployment: The Dirty Details
 
Grokking Engineering - Data Analytics Infrastructure at Viki - Huy Nguyen
Grokking Engineering - Data Analytics Infrastructure at Viki - Huy NguyenGrokking Engineering - Data Analytics Infrastructure at Viki - Huy Nguyen
Grokking Engineering - Data Analytics Infrastructure at Viki - Huy Nguyen
 
How and why we evolved a legacy Java web application to Scala... and we are s...
How and why we evolved a legacy Java web application to Scala... and we are s...How and why we evolved a legacy Java web application to Scala... and we are s...
How and why we evolved a legacy Java web application to Scala... and we are s...
 
Getting Buzzed on Buzzwords: Using Cloud & Big Data to Pentest at Scale
Getting Buzzed on Buzzwords: Using Cloud & Big Data to Pentest at ScaleGetting Buzzed on Buzzwords: Using Cloud & Big Data to Pentest at Scale
Getting Buzzed on Buzzwords: Using Cloud & Big Data to Pentest at Scale
 
Creating PostgreSQL-as-a-Service at Scale
Creating PostgreSQL-as-a-Service at ScaleCreating PostgreSQL-as-a-Service at Scale
Creating PostgreSQL-as-a-Service at Scale
 
APIs for modern web apps
APIs for modern web appsAPIs for modern web apps
APIs for modern web apps
 
Serverless Apps with AWS Step Functions
Serverless Apps with AWS Step FunctionsServerless Apps with AWS Step Functions
Serverless Apps with AWS Step Functions
 
MongoDB Stich Overview
MongoDB Stich OverviewMongoDB Stich Overview
MongoDB Stich Overview
 
Scale, baby, scale!
Scale, baby, scale!Scale, baby, scale!
Scale, baby, scale!
 
Perchè potresti aver bisogno di un database NoSQL anche se non sei Google o F...
Perchè potresti aver bisogno di un database NoSQL anche se non sei Google o F...Perchè potresti aver bisogno di un database NoSQL anche se non sei Google o F...
Perchè potresti aver bisogno di un database NoSQL anche se non sei Google o F...
 
NEW LAUNCH! Serverless Apps with AWS Step Functions
NEW LAUNCH! Serverless Apps with AWS Step FunctionsNEW LAUNCH! Serverless Apps with AWS Step Functions
NEW LAUNCH! Serverless Apps with AWS Step Functions
 
Rapid API Development with LoopBack/StrongLoop
Rapid API Development with LoopBack/StrongLoopRapid API Development with LoopBack/StrongLoop
Rapid API Development with LoopBack/StrongLoop
 
Altitude San Francisco 2018: Logging at the Edge
Altitude San Francisco 2018: Logging at the Edge Altitude San Francisco 2018: Logging at the Edge
Altitude San Francisco 2018: Logging at the Edge
 
AWS Batch를 통한 손쉬운 일괄 처리 작업 관리하기 - 윤석찬 (AWS 테크에반젤리스트)
AWS Batch를 통한 손쉬운 일괄 처리 작업 관리하기 - 윤석찬 (AWS 테크에반젤리스트)AWS Batch를 통한 손쉬운 일괄 처리 작업 관리하기 - 윤석찬 (AWS 테크에반젤리스트)
AWS Batch를 통한 손쉬운 일괄 처리 작업 관리하기 - 윤석찬 (AWS 테크에반젤리스트)
 
6 tips for improving ruby performance
6 tips for improving ruby performance6 tips for improving ruby performance
6 tips for improving ruby performance
 

Plus de Christopher Batey

Plus de Christopher Batey (20)

Cassandra summit LWTs
Cassandra summit  LWTsCassandra summit  LWTs
Cassandra summit LWTs
 
Docker and jvm. A good idea?
Docker and jvm. A good idea?Docker and jvm. A good idea?
Docker and jvm. A good idea?
 
LJC: Microservices in the real world
LJC: Microservices in the real worldLJC: Microservices in the real world
LJC: Microservices in the real world
 
NYC Cassandra Day - Java Intro
NYC Cassandra Day - Java IntroNYC Cassandra Day - Java Intro
NYC Cassandra Day - Java Intro
 
Cassandra Day NYC - Cassandra anti patterns
Cassandra Day NYC - Cassandra anti patternsCassandra Day NYC - Cassandra anti patterns
Cassandra Day NYC - Cassandra anti patterns
 
Think your software is fault-tolerant? Prove it!
Think your software is fault-tolerant? Prove it!Think your software is fault-tolerant? Prove it!
Think your software is fault-tolerant? Prove it!
 
Manchester Hadoop Meetup: Cassandra Spark internals
Manchester Hadoop Meetup: Cassandra Spark internalsManchester Hadoop Meetup: Cassandra Spark internals
Manchester Hadoop Meetup: Cassandra Spark internals
 
Cassandra London - 2.2 and 3.0
Cassandra London - 2.2 and 3.0Cassandra London - 2.2 and 3.0
Cassandra London - 2.2 and 3.0
 
Cassandra London - C* Spark Connector
Cassandra London - C* Spark ConnectorCassandra London - C* Spark Connector
Cassandra London - C* Spark Connector
 
IoT London July 2015
IoT London July 2015IoT London July 2015
IoT London July 2015
 
1 Dundee - Cassandra 101
1 Dundee - Cassandra 1011 Dundee - Cassandra 101
1 Dundee - Cassandra 101
 
2 Dundee - Cassandra-3
2 Dundee - Cassandra-32 Dundee - Cassandra-3
2 Dundee - Cassandra-3
 
3 Dundee-Spark Overview for C* developers
3 Dundee-Spark Overview for C* developers3 Dundee-Spark Overview for C* developers
3 Dundee-Spark Overview for C* developers
 
Paris Day Cassandra: Use case
Paris Day Cassandra: Use caseParis Day Cassandra: Use case
Paris Day Cassandra: Use case
 
Dublin Meetup: Cassandra anti patterns
Dublin Meetup: Cassandra anti patternsDublin Meetup: Cassandra anti patterns
Dublin Meetup: Cassandra anti patterns
 
Cassandra Day London: Building Java Applications
Cassandra Day London: Building Java ApplicationsCassandra Day London: Building Java Applications
Cassandra Day London: Building Java Applications
 
Data Science Lab Meetup: Cassandra and Spark
Data Science Lab Meetup: Cassandra and SparkData Science Lab Meetup: Cassandra and Spark
Data Science Lab Meetup: Cassandra and Spark
 
Manchester Hadoop Meetup: Spark Cassandra Integration
Manchester Hadoop Meetup: Spark Cassandra IntegrationManchester Hadoop Meetup: Spark Cassandra Integration
Manchester Hadoop Meetup: Spark Cassandra Integration
 
Manchester Hadoop User Group: Cassandra Intro
Manchester Hadoop User Group: Cassandra IntroManchester Hadoop User Group: Cassandra Intro
Manchester Hadoop User Group: Cassandra Intro
 
Webinar Cassandra Anti-Patterns
Webinar Cassandra Anti-PatternsWebinar Cassandra Anti-Patterns
Webinar Cassandra Anti-Patterns
 

Dernier

+971565801893>>SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHAB...
+971565801893>>SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHAB...+971565801893>>SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHAB...
+971565801893>>SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHAB...
Health
 
AI Mastery 201: Elevating Your Workflow with Advanced LLM Techniques
AI Mastery 201: Elevating Your Workflow with Advanced LLM TechniquesAI Mastery 201: Elevating Your Workflow with Advanced LLM Techniques
AI Mastery 201: Elevating Your Workflow with Advanced LLM Techniques
VictorSzoltysek
 

Dernier (20)

The Guide to Integrating Generative AI into Unified Continuous Testing Platfo...
The Guide to Integrating Generative AI into Unified Continuous Testing Platfo...The Guide to Integrating Generative AI into Unified Continuous Testing Platfo...
The Guide to Integrating Generative AI into Unified Continuous Testing Platfo...
 
+971565801893>>SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHAB...
+971565801893>>SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHAB...+971565801893>>SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHAB...
+971565801893>>SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHAB...
 
Learn the Fundamentals of XCUITest Framework_ A Beginner's Guide.pdf
Learn the Fundamentals of XCUITest Framework_ A Beginner's Guide.pdfLearn the Fundamentals of XCUITest Framework_ A Beginner's Guide.pdf
Learn the Fundamentals of XCUITest Framework_ A Beginner's Guide.pdf
 
Azure_Native_Qumulo_High_Performance_Compute_Benchmarks.pdf
Azure_Native_Qumulo_High_Performance_Compute_Benchmarks.pdfAzure_Native_Qumulo_High_Performance_Compute_Benchmarks.pdf
Azure_Native_Qumulo_High_Performance_Compute_Benchmarks.pdf
 
How To Troubleshoot Collaboration Apps for the Modern Connected Worker
How To Troubleshoot Collaboration Apps for the Modern Connected WorkerHow To Troubleshoot Collaboration Apps for the Modern Connected Worker
How To Troubleshoot Collaboration Apps for the Modern Connected Worker
 
Reassessing the Bedrock of Clinical Function Models: An Examination of Large ...
Reassessing the Bedrock of Clinical Function Models: An Examination of Large ...Reassessing the Bedrock of Clinical Function Models: An Examination of Large ...
Reassessing the Bedrock of Clinical Function Models: An Examination of Large ...
 
How To Use Server-Side Rendering with Nuxt.js
How To Use Server-Side Rendering with Nuxt.jsHow To Use Server-Side Rendering with Nuxt.js
How To Use Server-Side Rendering with Nuxt.js
 
Unlocking the Future of AI Agents with Large Language Models
Unlocking the Future of AI Agents with Large Language ModelsUnlocking the Future of AI Agents with Large Language Models
Unlocking the Future of AI Agents with Large Language Models
 
AI Mastery 201: Elevating Your Workflow with Advanced LLM Techniques
AI Mastery 201: Elevating Your Workflow with Advanced LLM TechniquesAI Mastery 201: Elevating Your Workflow with Advanced LLM Techniques
AI Mastery 201: Elevating Your Workflow with Advanced LLM Techniques
 
AI & Machine Learning Presentation Template
AI & Machine Learning Presentation TemplateAI & Machine Learning Presentation Template
AI & Machine Learning Presentation Template
 
Shapes for Sharing between Graph Data Spaces - and Epistemic Querying of RDF-...
Shapes for Sharing between Graph Data Spaces - and Epistemic Querying of RDF-...Shapes for Sharing between Graph Data Spaces - and Epistemic Querying of RDF-...
Shapes for Sharing between Graph Data Spaces - and Epistemic Querying of RDF-...
 
8257 interfacing 2 in microprocessor for btech students
8257 interfacing 2 in microprocessor for btech students8257 interfacing 2 in microprocessor for btech students
8257 interfacing 2 in microprocessor for btech students
 
call girls in Vaishali (Ghaziabad) 🔝 >༒8448380779 🔝 genuine Escort Service 🔝✔️✔️
call girls in Vaishali (Ghaziabad) 🔝 >༒8448380779 🔝 genuine Escort Service 🔝✔️✔️call girls in Vaishali (Ghaziabad) 🔝 >༒8448380779 🔝 genuine Escort Service 🔝✔️✔️
call girls in Vaishali (Ghaziabad) 🔝 >༒8448380779 🔝 genuine Escort Service 🔝✔️✔️
 
Right Money Management App For Your Financial Goals
Right Money Management App For Your Financial GoalsRight Money Management App For Your Financial Goals
Right Money Management App For Your Financial Goals
 
Introducing Microsoft’s new Enterprise Work Management (EWM) Solution
Introducing Microsoft’s new Enterprise Work Management (EWM) SolutionIntroducing Microsoft’s new Enterprise Work Management (EWM) Solution
Introducing Microsoft’s new Enterprise Work Management (EWM) Solution
 
Diamond Application Development Crafting Solutions with Precision
Diamond Application Development Crafting Solutions with PrecisionDiamond Application Development Crafting Solutions with Precision
Diamond Application Development Crafting Solutions with Precision
 
Unveiling the Tech Salsa of LAMs with Janus in Real-Time Applications
Unveiling the Tech Salsa of LAMs with Janus in Real-Time ApplicationsUnveiling the Tech Salsa of LAMs with Janus in Real-Time Applications
Unveiling the Tech Salsa of LAMs with Janus in Real-Time Applications
 
Tech Tuesday-Harness the Power of Effective Resource Planning with OnePlan’s ...
Tech Tuesday-Harness the Power of Effective Resource Planning with OnePlan’s ...Tech Tuesday-Harness the Power of Effective Resource Planning with OnePlan’s ...
Tech Tuesday-Harness the Power of Effective Resource Planning with OnePlan’s ...
 
Vip Call Girls Noida ➡️ Delhi ➡️ 9999965857 No Advance 24HRS Live
Vip Call Girls Noida ➡️ Delhi ➡️ 9999965857 No Advance 24HRS LiveVip Call Girls Noida ➡️ Delhi ➡️ 9999965857 No Advance 24HRS Live
Vip Call Girls Noida ➡️ Delhi ➡️ 9999965857 No Advance 24HRS Live
 
VTU technical seminar 8Th Sem on Scikit-learn
VTU technical seminar 8Th Sem on Scikit-learnVTU technical seminar 8Th Sem on Scikit-learn
VTU technical seminar 8Th Sem on Scikit-learn
 

Cassandra Summit EU 2014 Lightning talk - Paging (no animation)

  • 1. I want my data out: streaming + observable + paging Christopher Batey @chbatey ©2013 DataStax Confidential. Do not distribute without consent. 1
  • 2. Who am I? •Technical Evangelist for Apache Cassandra • Founder of Stubbed Cassandra • Help out Apache Cassandra users • Previous: Senior software engineer @ BSkyB
  • 3. Cassandra is great because… • What was once hard is now easy! • More and more features that aren’t part of its core competency
  • 4. Your favourite - OutOfMemory Application C Big Query
  • 5. Your favourite - OutOfMemory Application C Big Query
  • 6. Your favourite - OutOfMemory Uh oh, OutOfMemory Application C Big Query
  • 7. Your favourite - OutOfMemory Uh oh, OutOfMemory Application C Big Query
  • 8. Okay so 2 gb queries aren’t recommended?
  • 9. Manual paging WEB Your Application DAO Lots of small queries Super C* Blocking Queue
  • 10. Server side paging = awesome
  • 11. Your favourite - OutOfMemory Uh oh, OutOfMemory Application C Big Query
  • 12. Not so manual paging Your Application Super awesome paging query! C*
  • 13. ResultSet + Observable = Awesome public Observable<CustomerEvent> getCustomerEventsObservable(String customerId) { BoundStatement boundStatement = getEventsForCustomer.bind(customerId); ListenableFuture<ResultSet> resultSetFuture = session.executeAsync(boundStatement); Observable<ResultSet> observable = Observable.from(resultSetFuture, Schedulers.io()); Observable<Row> rowObservable = observable.flatMapIterable(result -> result); return rowObservable.map(row -> new CustomerEvent( row.getString("customer_id"), row.getUUID("time"), row.getString("staff_id"), row.getString("store_type"), row.getString("event_type"), row.getMap("tags", String.class, String.class))); } p
  • 14. ResultSet + Observable = Awesome Observable<CustomerEvent> chbatey = customerEventDao.getCustomerEventsObservable("chbatey"); chbatey.doOnCompleted(() -> { try { outputStream.close(); } catch (IOException e) { } }); chbatey.subscribe(event -> { try { outputStream.write(event.serialise()); } catch (IOException e) { } });
  • 15. Manual paging WEB Your Application DAO Lots of small queries Super C* Blocking Queue
  • 16. Thanks for listening @chbatey http://christopher-batey.blogspot.co.uk