Turbo-Charge Your Ext JS App Per Minborg & Emil Forslund, Speedment, Inc
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Turbo-Charge Your Ext JS AppPer Minborg & Emil Forslund, Speedment, Inc
Why is a Progress Bar a Problem?
• 100 milliseconds is a direct response
• > 1 second you will experience a delay
• > 3 seconds, 57% leave the site
• > 10 seconds, 100% tired
3
User Experience is Destroyed
100 ms 1 s 3 s 10 s
Why is a Progress Bar a Problem?
• Google lost 20% of traffic when they became 0,5 seconds slower
• Less simultaneous visitors
5
Less Pageviews
Why is a Progress Bar a Problem?
• Amazon: Every 100 ms delay costs 1% of sales (1,4 Billion $)
• Research in Aberdeen: 1 second cost 9% of sales
6
Less income
Higher Overhead• Unnecessary hardware, licenses cost
Why is a Progress Bar a Problem?
Destroys the Brand• 44% worried when paying transactions take too long
• They tell their friends
Disappointed Cellphone and Tablet Surfers• 58% expect faster response on a cellphone than on a computer
Lower Rankings in Search engines
7
Why is a Progress Bar a Problem?
100 ms 1 s 3 s 10 s Destroyed User
Exp. Less Pageviews Less Income
Higher Overhead Sad Mobile
Surfers Lower Rankings
Destroyed Brand
You will learn how to:
• Get rid of progress bars
• Make the back end development process faster
9
About Ext JS and Ext Speeder
One End
Front end
Back endOne end
Ext Speeder
• Database back end tool for applications
• In-memory acceleration
• Simplifies development of database applications
• Quickly design, develop and deploy Ext JS applications
• Automatic generation of code, no need to worry about the back end
EXT JS Application
Sencha Ext JSRapidly build feature-rich, data intensive cross-platform enterprise applications
• High performance, customizable widgets
• Backend agnostic data package
• Responsive layout manager
• Advanced charting package
• Easily customizable themes
• ARIA / 508 Compliance
Accelerating Back End Development
Web ServerApp
Client
Data in Ext JS Apps
Server
UI Components
Data Manager
Local data
Pages, Assets, etc.
Data Services
REST
SOAP
etc.
Database
Traditional Back End Development Process
• Model the database 5h
• Secure Connection 1h
• Parse http command 1h
• Deserialize parameters 1h
• Manage database connections 1h
• Convert into SQL 2h
• Optimize queries 3h
• Parse database response 2h• Format into JSON 1h• Send back to Client 1h• Write XML config 1h• Deploy in Java EE 1h• Fix bugs 4h• Run Application 0.1 h
24 h
Web Server
Client
Data in Ext Speeder
Server
Complete REST API
In-memoryObject Store(entire db)
Database
Automatic Refresh Logic
Introspection
Data Services
Web ServerApp
Client
Data in Ext JS + Ext Speeder Apps
Server
UI Components
Data Manager
Local data
Pages, Assets, etc.
REST
Obj Store Database
Ext Speeder Back End Development Process • Install Ext Speeder 0.4 h
• Connect to database 0.1h
• Select tables and columns 0.3 h
• Press ”Generate” 0.0 h
• Deploy in Java EE 0.1h
• Run application 0.1h
1 h
Ext Speeder
• REST API automatically generated
• In-Memory Technology for High Perfor-mance
• Deployment stand-alone or in Java EE server like Oracle WebLogic or Tomcat.
Ext Speeder Back End Development Process
1. Connect
2. Generate
3. Use
Ext Speeder Acceleration• Convert large databases into
In-memory Objects
• Extreme Performance, real time Big Data
• Downloads a copy of the most recent database state in the background
• Seamlessly switches over to the copy
• Configurable in-memory reload time-Default reload each hour-Configurable per second, minute or hour
• Multi-versioning concurrent control (MVCC)
Automatic Data Reload
Deployment Scenarios
• Stand Alone Java SE 8
• Java EE Application Server- Oracle WebLogic
- Tomcat / TomEE
- Glassfish / Payara
- Wildfly / JBoss
- Jetty
IDEs
Databases
Ext JS Versions
• No change in Ext Speeder - Works for these versions: -Ext JS 6 (BufferedStore) -Ext JS 5 (BufferedStore) -Ext JS 4 (Use regular Store with buffered = true)
Accelerating Run-Time Performance
How Ext Speeder Improves your Performance
• Data Database objects are stored in-memory
• Sort A sorted view of every column resides in-memory
• Filter Resolved without querying the database. In-memory filtering lookup.
• Skip In-memory dictionaries improve skip performance
• Total Number of results are cached for each set of parameters
Performance Test : Open database
• Open database with US doctors
• 40 million objects
• Comparison with and without Ext Speeder
See full video on www.extspeeder.com
Demo Ext Speeder
Case Study : Portfolio IQ by xh.io
Try the demo on AWS:Link: https://piq.xh.ioUsername: [email protected]: piqdemo!
Ext Speeder: Summary
• Improved User Experience with apps accessing large amounts of data
• Data-driven apps developed faster with less effort
• Seamless integration with Ext JS Grid
• Lower effort to create and maintain comprehensive REST APIs
How to get Ext Speeder
What’s included
Kickstart package 8hTraining voucher 4hProfessional Support Tickets
Need Custom Features Tailored for Your Project?
Contact [email protected]
Additional Database Connectors
Scale-Out Over Multiple Nodes
Aggregating Operators
Create, Update, Delete...
Connect Several Databases
Reactive WebSockets
If You Only Remember One Thing Today:
100 ms 1 s 3 s 10 s
Thank [email protected]
Ext Speeder Example
• ~25 million rows
• User Interaction “scrollbar”- Sort by price
- Skip to row 15,342,132
- Show 50 following rows
Ext Speeder Example
• Use the sorted view “price” in descending order (instant)
• Use the dictionary to find the closest token for 15,342,132 (instant)- Closest token might be $30.23 at 15,342,102
• Find that token (instant)
• Skip (15,342,132 – 15,342,102 = 30 rows) (30 operations)
• Retrieve the following 50 rows directly from memory
• Convert to JSON
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