modern, lightweight development with java ee 6

Modern, Lightweight Development and Java EE 6 Alexis Moussine-Pouchkine http://blogs.oracle.com/theaquarium, @alexismp

The following is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions.

The development, release, and timing of any features or functionality described for Oracle’s products remains at the sole discretion of Oracle.

Terminology

•  What does “Modern” Development mean? •  The obvious: leveraging recent innovation •  Balancing of cutting and bleeding edge •  Simpler, easier to use

•  What does “Lightweight” Development mean? •  What you want, not more than what you want

•  Smaller runtime memory footprint •  Easy install and download •  Less deployment unit / library bloat •  Decoupling container – application dependencies

•  Choice –  Your tool selection, your dev/test environment, your

persistence provider •  Productivity

–  IDEs (or not), lots of OSS Libraries / Frameworks •  Familiarity

–  Standard-based with extension points, not proprietary •  Simplicity

–  Leaner, POJO driven API with annotations •  Quality

–  Facilitate Agile and Test Driven Development •  Agility

–  Server Modularity, Extensibility, Linked Portfolio

Modern and Lightweight is not enough

Developer Productivity

Flexible, Lightweight Extensible

Web Profile API Pruning

Injection

Embrace open source frameworks Enables Drag & Drop framework installation

More annotations, better IDEs POJO development

Less XML configuration

Java EE

Java EE 6 meets and exceeds those requirements

Java EE 7: Cloud Foundation

•  Formalize new roles, PaaS, multi-tenancy •  Pluggable cloud services •  Revision of underlying Java EE specs

Agenda

Modern, Lightweight approaches in Java EE6:

!  Development Approach

!  Developer Tools

!  Build Environment, Continuous Integration

!  Testing, Diagnostics, Tuning

!  Modular Runtime Services

!  Easier Web Application Packaging

!  New Approaches to Persistence

!  Conclusion

Use Lightweight, Testable Plain Old Java Objects

•  Less configuration complexity

•  Easier testability and alignment with OS tools –  Ant / Maven / Hudson

•  Java EE 6 makes advances in this area –  (CDI) Context and

Dependency Injection –  EJB 3.1, JPA –  JSF 2.0 (Beans, etc) –  Java EE will only

continue to improve •  Caching with clusterable

hashmaps becoming the norm

Managed Beans

Context Dependency & Injection

EJB 3.1

JAX-RS

JAX-WS

Persistence

Facelets

JSR 330

Basic Component

Presentation

Dependency Injection

Business Services

Caching In-memory grid

Developer Tools

•  A comprehensive, modular IDE >  First to support Java SE 7 >  Best-in-Class support for Java EE 6 >  GlassFish 3.1.1 support, WebLogic 10.3.4 >  Extensive dynamic language support (PHP,

Ruby, Groovy, etc.) >  Connected Developer improvements >  Intuitive workflow, Java FX, Swing, C++ >  Debugger, Profiler, Refactoring, etc.

•  A platform for building applications >  RCP = Rich Client Platform >  Modular architecture allows easy reuse >  Rich framework of windows, menus, tool bars,

actions

•  A thriving open source community >  Large set of 3rd party plug-ins >  Over 20 Million Downloads >  Over 100 Partner Companies >  Active blogging community

NetBeans IDE

Artifact

AppXRay™

Presentation

Component

Data Access

External Resources

JSP CSS JSF ADF Faces HTML TLD

Faces Config POJO Resource

bundles XML

schema Java

Variable

Java / Java EE / ADF

Oracle Coherence

WebLogic, GlassFish

Spring, ORM, DB, JPA

Spring DAO

EJB 3 JPA POJO Eclipse

Oracle Enterprise Pack for Eclipse Free Eclipse Plug-ins for Fusion Middleware

•  Excellent Multi Language Support –  Java 7, JavaScript, Ruby, Groovy, HTML, CSS, XML –  Recognizes languages inside of other languages

•  Strong Refactoring, Source Editing •  Very current support of 3rd party technology

–  Maven, Groovy, Spring, Flex, Android, Ruby, Python, Scala, PHP

•  Great for Java •  May not be the best for Java EE, relative to other options

–  GlassFish / WebLogic Server plug-ins are tricky –  Comparatively less Java EE wizards –  No EE javadoc code completion in the editor

IntelliJ IDEA

•  Editors were always lightweight, but perhaps not modern

Text Editors (VI, Emacs, VIM, UltraEdit, etc)

+/- No IDE project model to conform to + Good for any programming language (usually) + Doesn’t even show up on corporate architecture radar

- No integrated debugging, wizards, validation - Search and replace ≠ refactoring, D-I-Y codegen - Potentially lots of ongoing work to configure

Build Environment, Continuous Integration

F/OSS Java tools ecosystem Leverage free and open source software

Hudson

Dependency Management

Automation Tools

Tracking Tools

Version Control Tools

Testing

Continuous Integration

WebLogic

GlassFish

Maven, if you can Build and Dependency Management

•  Maven wants to control everything, including directory structure •  If your project can work with the constraints, Maven will: •  Enable repeatable builds •  Embed build knowledge into the project •  Make it possible to create automated builds •  Enable CI •  Can enforce uniform project setup •  No need to have all developers script their own build.xml files •  No duplication of build code •  Simplify dependency management •  A lot of plug-ins available

Maven Repo URI

•  glassfish:create-domain •  glassfish:start-domain •  glassfish:deploy •  glassfish:redeploy •  glassfish:undeploy •  glassfish:stop-domain •  glassfish:delete-domain

http://download.java.net/maven/glassfish/

Maven with WebLogic and GlassFish

GlassFish •  wls:install* •  wls:create-domain* •  wls:start-server* •  wls:deploy •  wls:undeploy •  wls:re-deploy •  wls:start-app •  wls:list-apps •  wls:stop-app •  wls:wlst (run script) •  wls:stop-server*

WebLogic

* Coming in Java EE 6 Release

An agile imperative: Hudson CI Continuous integration

•  Written in Java, has IDE plug-ins •  Works on any Java container •  No install required, java –jar hudson.war!•  Easy to use, browser based config •  REST API and CLI •  Vibrant Ecosystem of 330+ plug-ins

–  GlassFish Plug-in –  Coming soon: WebLogic Plug-in

•  How it works: –  Dev commits – which triggers a build –  Hudson detects changes, checks out code –  Builds project on another machine –  Organizes Build Output (libs, docs, installers) –  Records and Publishes results –  Feedback – only when necessary

Testing, Diagnostics, Tuning

Test Driven Development

refactor Commit updates

Add test

Make small change

Commit updates

•  Small steps •  Frequent check-ins •  Design for

testability •  Interface first, then

implement •  Mock objects

Category Tool Continuous Integration Hudson/Jenkins, CruiseControl, Continuum Acceptance FitNesse, Selenium Load Test JMeter, Eclipse TPTP Coverage Cobertura, Emma Web Apps Selenium, HttpUnit Java EE Servers Cargo, Cactus, Arquillian Database DBUnit Mock Objects jMock, EasyMock, Mockito Unit tests JUnit, TestNG Build Ant, Maven, Ivy Race/Deadlock JRockit Mission Control Profiling JRockit Mission Control, NetBeans Memory Leak JRockit Mission Control

U N I T T E S T I N G

Lots of F/OSS to leverage when in development

Deploy

Profiling & performance

tuning

Regression testing

Troubleshooting

Monitoring

Alerts & triggers

Plug-in to leverage when in deployment: JRMC JRockit Mission Control and JRockit Flight Recorder

Operations

Production

diagnostics

Development

JRockit Flight Recorder ”Black box”

Mission Control Server

1.  A serious failure occurs •  JVM crash •  Out of memory •  Application terminates unexpectedly •  Hardware failure or power outage

2.  Buffered data is saved to a file •  Contents include both in-memory and on-

disk buffer data •  Exception: HW failure will only yield on-

disk data 3.  User opens file in JRMC for analysis

In-memory/on-disk buffer

Flight Recorder ”Real-time Application Diagnostics”

Mission Control Server

1.  Monitoring system detects an issue •  Too long JSP response time •  Unexpected memory growth •  (anything exposed through JMX)

2.  JRMC requests diagnostics data •  “Give me all diagnostics data leading up to the issue”

3.  Data is sent to JRMC •  Analyze immediately (manual or automatic) •  And/or store for later analysis

In-memory/on-disk buffer

Flight Recorder Benefits

•  Always available – No need to instrument application – No runtime overhead

•  Dramatically decrease time & cost for troubleshooting –  Both in-house and when working with Oracle Support

•  Enable positive feedback loop in production – Collect data from all SLA breaches –  Analyze, fix, update application, repeat until no more

errors

•  Improved datacenter performance & availability

Modular Runtime Services

Rich Features in a Lightweight Runtime

•  Pay for what you use –  Starts in seconds –  Features dynamically loaded as needed, like …

•  … Administration console •  … EJB container, embedded JMS server •  … Web services container •  … Clustering

•  Standard distributions of Java EE Servers becoming the norm –  Java EE 6 Web Profile –  Full Java EE 6 – Minimize runtime to avoid the need to build custom platform

Java EE Server Modularity

Application Container Runtime Container Kernel

Deployment

Configuration

Monitoring

AdminGUI

Application Container Runtime Approach Taken on WebLogic Server and GlassFish

What Does it Mean to Developers?

•  Expect to see lighter weight distributions of Java EE Servers – GlassFish Server Web Profile – 29M

•  Expect to see runtime profiles – WebLogic Server having runtime Web Profile support turning

off EJB, JMS and JCA containers

•  Expect to see experimentation with OSGi programming models – GlassFish OSGi/Java EE Hybrid specifications and

implementation •  e.g. JPA, EJB, JDBC, JTA, ... as OSGi services

•  We need your feedback as to how important this is for Java EE 7 and 8 going forward

Easier Web Application Packaging

Simplified Packaging of Web Applications

WEB-INF/classes com/acme/MyServlet.class com/acme/MyFilter.class

WEB-INF/web.xml

index.html main.css jquery-1.4.2.js ui/jquery.ui.core.js ui/jquery.ui.widget.js

WEB-INF/lib someframework.jar

Web Application

@WebServlet(urlPatterns=”/foo”)public class MyServlet { … }

@WebFilter(urlPatterns=”/foo”)public class MyFilter { … }WEB-INF/lib

someframework.jar

WEB-INF/lib someframework.jar

Web Application

META-INF/web-fragment.xml com/fw/FwServlet.class com/fw/FwFilter.class

Framework Jar

WEB-INF/lib someframework.jar jquery-ui-1.8.4.jar

index.html main.css

Web Application

META-INF/resources/jquery-1.4.2.js META-INF/resources/ui/jquery.ui.core.js META-INF/resources/ui/jquery.ui.widget.js

jQuery Resource Jar

WEB-INF/lib someframework.jar jquery-ui-1.8.4.jar

index.html main.css

Web Application

•  Self-contained •  Generic •  Reusable

New approaches to persistence

New approaches to structured storage

• Ubiquitous • Newer, higher level

In-memory Data Grids • Mature • Distributed storage,

processing, and caching

NRDBMS (noSQL)

• Emerging • Often distributed

A quick look at Java Persistence API 2.0

•  Why JPA and not other Java persistence methods? –  Incredible productivity gain using annotations –  Reduce errors from repetitive coding with lower level APIs –  Standard, not proprietary – many providers exist –  Integration point for in-memory data grid –  JPA 2.0’s ORM can handle real life database schemas

•  JPA in a nutshell –  Concrete classes (POJOs) –  No required interfaces or inheritance –  new() for instance creation –  Mapping using annotations and/or XML –  “Managed” by an EntityManager –  Can leave the Container (“detached”)

A quick look at in-memory caching

•  Why an in-memory data grid? –  For public internet scale –  For solid-state response times –  Processing large event volumes

•  In-memory data grid in a nutshell – Container-less Clustering of Java Processes – Data Structures to manage Data across a Cluster / Grid – Real-Time Event Observation – Listener Pattern – Materialized Views of Data –  Parallel Queries and Aggregation – Object-based Queries –  Parallel Data Processing –  Parallel Grid Processing – RemoteException Free Distributed Computing

A quick look at NRDBMS (a.k.a NoSQL)

•  Why NRDBMS? –  indexing a large number of documents –  serving data intensive pages at commercial internet loads –  delivering streaming media –  when you can sacrifice data consistency for performance

•  NRDBMS in a nutshell –  Document store, graph, key-value store, multivalue

databases, OODBMS, Tabular, Tuple Store –  May not require fixed table schemas –  Usually avoid joins –  Scale horizontally

Conclusion

•  Enterprises need commercial support & services •  Commercial upgrade options abound •  Contractual Technical Support & ProServ

•  Agile often means projects have unforeseen futures •  Having a linked commercial portfolio means you aren’t stuck in a point solution

•  Enterprises need platforms with healthy ecosystems •  Java EE and open source are constantly inspiring each other, and should be considered together

•  Java EE6 meets the requirements out of the box •  Together with F/OSS for testing, quality, troubleshooting

•  Server extensibility means your investment will survive the: •  Next point solution •  Next cool language that is narrow in scope

Conclusion: Java EE 6 is best for enterprise

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