appgriddevdevelopment11g-100121145653-phpapp02

7/28/2019 appgriddevdevelopment11g-100121145653-phpapp02

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Enterprise Development Strategies for Java, WebLogic Server, and the Oracle

Fusion Middleware Stack


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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 makingpurchasing decisions.

The development, release, and timing of any features

or functionality described for Oracles products remains

at the sole discretion of Oracle.

2010 Oracle Corporation 2


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Application Grid Agenda & Roadmap

2010 Oracle Corporation 332010 Oracle Corporation

DevelopmentApproach (POJO)

Interface and Persistence

Frameworks and Dev Workbench

Runtime Services,Build Environment

Clustered caching

Testing,

Tuning,

Diagnostics

CloudApp Grid

Deployment

1. Why App Grid?

2. Roadmap3. Conclusion


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Fault tolerance

Application

Application Grid with

Coherence

Replicate data ingrid for fail-over

Application

Application Grid withCoherence

Frequent access toshared data

Cache data in gridto offload back end

High-speed, data-intensive

computing

Hold datain-memory;

parallelize tasks

Enterprise Requirements are AdvancingShared, in-memory data addresses broad range of use cases

42010 Oracle Corporation


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SOA and Portals Need Application GridEnterprise data brokers remove bottlenecks for UI and data services

ApplicationServers

WebServers

Data Demand

Ever ExpandingUniverse of Users

Data Supply

Oracle Coherence brokers data supply with data demand

Scale out data grid in middle tier using commodity hardware Broker data supply and demand

Data Sources

Java Objects



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Choice

Your development style, your toolselection, your dev/test server platform

Productivity

Design pattern repository for jumpstarting

development

Familiarity Option to leverage a familiar, standard API

like JPA for Application Grid development

Agility

Integrated portfolio; in-memory cache

integration to TopLink, WebLogic Server

Developer Requirements



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Clustered caching

Testing,

Tuning,

Diagnostics

CloudApp Grid

Deployment

1. Why App Grid?



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Java SE/EE Platform Evolution

1998 2000 2002 2004 2006 2008 2010

J2EE 1.2

Servlet,

EJB, JSP,JMS, Mail,

J2EE 1.3

JCA,

JAAS,XML,

CMP,

J2EE 1.4

WebSvcs,

JMX,Deployme

nt,

Java EE 5

JPA, EJB3,

Annotations,Faces,

Java EE 6

More POJOs,

Web Profile,EJBLite, Restful

WS, Injection,

J2SE 1.3

HotSpot,JNDI,

JPDA,

Sound,

J2SE 1.4

NIO, JAXP,Crypto,

SSL,

Logging,

J2SE 5.0

GenericsAnnotations

Autoboxing

Concurrent

Java SE 6

Performance,Scripting,

JAX-WS,

JAXB, StAX,

JDK 7

Modularity, Coin,InvokeDynamic,

NIO2,

Development Approach (POJO)2010 Oracle Corporation 8


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Trend to Lightweight, Testable Plain Java Objects

Less configuration

complexity Easier testability and

alignment with OStoolsAnt / Maven / Hudson

Java EE 6.0 makesadvances in this area (CDI) Context and

Dependency Injection

EJB3 JPA JSF 2.0 (Beans, etc)

Java EE will onlycontinue to improve

92010 Oracle CorporationDevelopment Approach (POJO)

Managed Beans

JPA 2

Context

Dependency & Injection

JSF2

EJB 3.1

JAX-RS

JAX-WS

Persistence

Facelets

JSR 330

BasicComponent

Presentation

Dependency

Injection

Business

Services

REST

SOAP


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DBMS Modeling Java Java EE ESB BPM Rules Portal Mobile / Desktop

Common IDE Framework

Common Modeling Framework

Common Business Catalog

Common Metadata Manager

Common App Lifecycle Management

JDeveloper 11gUnified Java / SOA IDE

102010 Oracle CorporationFrameworks and Dev Workbench


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Artifact

AppXRay

Presentation

Component

Data Access

External Resources

JSPCSS JSF JSTLHTML Struts

Web

ServicesPOJO

Resource

bundles

XML

schema

Java

Variable

Java / Java EE

Web Services

WebLogic Server

Spring, ORM, DB

Spring

DAO

EJB 3

JPAHibernate TopLink

Oracle Enterprise Pack for EclipseOpen source skill leverage increases productivity

112010 Oracle CorporationFrameworks and Dev Workbench


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Relational Data XML Data LegacyData

BusinessServices

Data Services

Model

Controller

View

Desktop Browser/ Mobile DevicesMS Office

Relational Data XML Data Legacy Data

JSFMS Office ADF Faces JSPSwing

JSF / ADFc Struts

Web ServicesJava EJB BAM BPEL ADF BC BI XML

Portlet

ADF Bindings (JSR 227)

MetadataServices

TopLink JCR JMX

Oracle ADF 11g For Declarative/Visual DevelopersStandards-based productivity with choice


Packaged Apps



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Eclipse Persistence Services Project(EclipseLink)

DBWSSDOEISMOXyJPA

XML Data Legacy SystemsDatabases

Java SE Java EE OSGi Spring ADF


The Persistence RI for Java EE 6:

http://www.oracle.com/technology/products/coherence/coherencedatagrid/information_fabric.htmlhttp://www.oracle.com/technology/products/coherence/coherencedatagrid/information_fabric.htmlhttp://www.oracle.com/technology/products/coherence/coherencedatagrid/dynamic_cluster_membership.htmlhttp://www.oracle.com/technology/products/coherence/coherencedatagrid/dynamic_cluster_membership.htmlhttp://www.oracle.com/technology/products/coherence/coherencedatagrid/cache_events.htmlhttp://www.oracle.com/technology/products/coherence/coherencedatagrid/cache_events.htmlhttp://www.oracle.com/technology/products/coherence/coherencedatagrid/cluster_data.htmlhttp://www.oracle.com/technology/products/coherence/coherencedatagrid/cluster_data.htmlhttp://www.oracle.com/technology/products/coherence/coherencedatagrid/data_grids.htmlhttp://www.oracle.com/technology/products/coherence/coherencedatagrid/data_grids.html


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Simplified configuration supporting Spring pre-configured beans

Use WebLogic services (e.g. JTA) without modifying Spring config

Spring console now displays runtime mbeans for dynamic statistics

Oracle JDeveloper, Oracle Enterprise Pack for Eclipse support MedRec Sample App upgraded with Spring 2.5.3

Spring DI upgraded to support Spring 2.5.3

Inject additional data types into web/ejb container beyond JEE5

WebLogic Cluster/Domain

Managed WLS

Spring Apps

WLS JEE

WLS Admin Server

WLS Console

Managed WLS

Spring Apps

WLS JEE

Managed WLS

Spring Apps

WLS JEE

Managed WLS

Spring Apps

WLS JEE

SimplifiedConfiguration

DistributedMonitoring

Spring Framework support in the foundationSeamless Oracle WebLogic Server integration



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Oracle WebLogic ServerConverged infrastructure for the Oracle platform

The #1 Java EE application server, designed for the most Mission-

Critical of applications

Operations / Corp Architecture compliance enterprise friendly

Developer-friendly shorter iterative dev, less runtime debuggingComprehensive command line, scripting and IDE support

Advanced dynamic class redefinition in server and IDE, as-you- type

design-time dependency analysis and validation

Application dependency visualization for unfamiliar code

WebLogic Server Clusters

Coherence Data Grid

Databases MainframesLegacy Commodity Virtualized

WebLogic

Differentiator:the ilities

152010 Oracle CorporationRuntime Services / Build Env


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Modern Server Development on the Application GridBuild, automation, dependency, integration tools and testing tools


Hudson

DependencyManagement

Tools

AutomationTools

TrackingTools

VersionControlTools

Testing

ContinuousIntegration

Tools

WebLogic

TopLink

Runtime Services / Build Env


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Environment for Quick Application Grid SetupLeverage modular server download, install, and start-up

Lightweight installers

Optional service startup

Fast deployment and server start

Advanced Dynamic Class

Redefinition



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BuildEdit

DeployTest

Java EE 5 dynamic classredefinition (DCR) helps but...

Oracles FastSwap DCR farexceeds base Java EE 5 features

BuildEdit

Test

FastSwap DCR allowsJava class shape

change

Iterate Application Grid Code FasterDebugging your application without re-deployment

Javas DCR limited toJava classes thatretain their shape



19/412010 Oracle Corporation

Command-line/scripting tools for WebLogic domains Offline (not connected to live server - primarily for domain creation)

Online (connected to live server - primarily for runtime monitoring)

Interactive mode (a command shell)

Scripted mode (for automation)

Jython based

Python code in JVM

WebLogic specific set of

management APIs

Easy access to WebLogicJMX API

Faster Application Grid Configuration ManagementWebLogic Automation, Configuration Management Scripting

Runtime Services / Build Env19


20/412010 Oracle Corporation 20

Source: pricescan.com

Memory is becoming

exponentially cheaper

Many applications arememory-constrained

Traditional approaches

alone cant make

effective use of hugememory

Trend: The Cost of Memory is Falling Dramaticallybut Java needs help in using it

202010 Oracle CorporationClustered Caching


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Memory spans multiple

machines

Automatically partitions

and exploits all memory

Add/remove nodes dynamically Reliability through redundancy

Performance through

parallelization

Scale linearly to terabytes and

thousands of nodes


JRockit JRockit

Coherence

JRockit

WebLogic

Server

In-Memory Distributed Computing with CoherenceCache huge data-sets in memory of multiple machines




Clustered Data Management

A fully coherent, single system image (SSI) Scalability for both read and write access

Fast, transparent failover and failback

Linear scalability for storage and processing

No Single-Points-of-Failure (SPOFs)

Clusterwide locking and transactions A single API for the logical layer, XML

configuration for the physical layer

Data Storage Options

On-heap

NIO RAM

NIO Disk

File-based

Other IDE

Basic Coherence Development Concepts/Features




Serialization Options

java.io.Serializable com.tangosol.io.pof.PofSerializer

java.io.Externalizable

com.tangosol.io.ExternalizableLite.

com.tangosol.run.xml.XmlBean

Configurability and Extensibility

Namespace Hierarchy

Caching Strategies

Other IDE

Basic Coherence Development Concepts/Features




Coherence Cache Types / Strategies


Replicated

Cache

Optimistic

Cache

Partitioned

Cache

Near Cache

backed by

partitioned

cache

LocalCache not

clustered

Topology Replicated Replicated Partitioned Cache Local Caches +

Partitioned Cache

Local Cache

Read Performance Instant Instant Locally cached:

instant --Remote:

network speed

Locally cached:

instant --Remote:

network speed

Instant

Fault Tolerance Extremely High Extremely High Configurable Zero to

Extremely High

Configurable 4 Zero

to Extremely High

Zero

Write Performance Fast Fast Extremely fast Extremely fast Instant

Memory Usage

(Per JVM)

DataSize DataSize DataSize/JVMs x

Redundancy

LocalCache +

[DataSize / JVMs]

DataSize

Coherency fully coherent fully coherent fully coherent fully coherent n/a

Memory Usage(Total)

JVMs x DataSize JVMs x DataSize Redundancy xDataSize

[Redundancy xDataSize] + [JVMs x

LocalCache]

n/a

Locking fully transactional none fully transactional fully transactional fully transactional

Typical Uses Metadata n/a (see Near

Cache)

Read-write caches Read-heavy caches

w/ access affinity

Local data

Clustered Caching


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Larger application clusters can lead to

database bottlenecks with traditionalJPA scaling approaches like:

Adding nodes to a cluster

Tuning database performance to reducequery time

Prior to TopLink Grid, there were twostrategies for scaling JPA applicationsinto a cluster:

Disable Shared Cache

Cache Coordinationcommunicate

changes via messaging

TopLink Grid: Removing Database Bottlenecks


App Tier

Clusters

Data Tier

Database



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Scaling JPA with TopLink Grid

TopLink Grid integrates EclipseLink JPA and

Coherence Supports 'JPA on the Grid' Architecture

EclipseLink JPA applications using Coherence as a shared

(L2) cache replacement along with configuration for more

advanced usage

Base configuration uses Coherence data grid asdistributed shared cache Updates to Coherence cache immediately available to all

cluster nodes

Advanced configurations uses data grid to processqueries to avoid database access and decreasedatabase load

262010 Oracle CorporationInterface and Persistence


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TopLink Grid Typical Configurations

Grid cache Coherence as shared (L2) cache Configurable per entity type

Entities read by one grid member are put into Coherence andare immediately available across the entire grid

Grid readAll supported read queries executed in the Coherence datagrid

All writes performed directly on the database by TopLink(synchronously) and Coherence updated

Grid entityAll supported read queries and all writes are executed in theCoherence data grid



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TopLink Grid with Coherence Cache

Application

EntityManager

EntityManagerFactory

L1 Cache

Application

EntityManager

EntityManagerFactory

L1 Cache

Coherence



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How Is TopLink Grid Different from Hibernate with

Coherence?

Hibernate does not cache objects, it caches data rows

Hibernate caches serialized data rows in Coherence

Using Coherence as a cache for Hibernate

Every cache hit incurs both object construction and

serialization costs

Worse, object construction cost is paid by every cluster

member for every cache hit

Hibernate only uses Coherence as a cacheTopLink

Grid is unique in supporting execution of queriesagainst Coherence which can significantly offload the

database and increase throughput



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Limitations in TopLink 11gR1

JPQL translated to Filter and executed in Coherence:

TopLink Grid 11gR1 Supports single Entity queries with

constraints on attributes, e.g.:select e from Employee e where e.name = 'Joe'

Complex queries must be executed on database: Multi-Entity queries or queries that traverse relationships

('joins'), e.g.:select e from Employee e

where e.address.city = 'Bonn'

Projection (Report) queries, e.g.:select e.name, e.city from Employee e



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Testing and Tuning in Todays Enterprise

UnitTesting

User Interface

Testing

IntegrationTesting

Load

testing

Security /ComplianceProfiling

and

Runtime

Instrumentation

Open Source TestingTools


RegressionTesting

InfinitestJester

MockRunner

Oracle Testing/Profiling Tools

Oracle Load TestingOracle Functional Testing

Oracle AD4J

Oracle JRMC

HTTPUnitJUnit

Selenium

Testing, Diagnostics, Tuning


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Operating Systems

Database

Middleware

Applications

Configuration Management

Service Level Management

Application PerformanceManagement

Lifecycle Management

Dashboards

AD4J

Diagnose problemsin production

View all java activity:

instrumentation notneeded

Trace transactionsacross tiers, into theOracle DB

Application Diagnostics for Java (AD4J)Application performance management solution

322010 Oracle CorporationTesting, Diagnostics, Tuning


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Operations

Production

diagnostics

Development

Deploy

Profiling &performance

tuning

Regression

testing

Troubleshooting

Monitoring

Alerts & triggers

Diagnostics with Oracle JRockit Mission Control

332010 Oracle CorporationTesting, Diagnostics, Tuning


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On-demand development

environment provisioning Fast pilots, prototyping

Eliminate delays from:

HW procurement

Insufficient laptop resources

Needing a particular OS for

testing / QA

Long downloads

Installation Initial configuration

Challenge: Connectivity to

enterprise resources

Hypervisor

JRockit VE

Application(s)

Machine Resource Pool

Virtualized

Managed

Server

WebLogic

Cluster

How Can Cloud Computing Help FMW Developers?



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WebLogic Suite-based Application Grid on Virtualized Infrastructure

Production Environment

Application Grid: Fast Provisioning / DeploymentFusion Middleware Appliance Builder

Appliance

Builder

Dept App

Development Environments

Dept App Custom code and

environment

descriptionDept AppDept App

2009 Oracle Corporation 35Oracle Confidential

EnterpriseManager


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Your Network

Debug / Deploy

Public Internet

IDE Tools on your desktop

Debug / Deploy

Remote Server (s)

AMAZON EC2

Instances

Amazon

EBS

Oracle Enterprise Linux

WebLogic Server

Other IDE

Public Cloud Development Scenario A

362010 Oracle CorporationCloud App Grid Deployment


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Your NetworkPublic Internet

AMAZON EC2

Instances

WebLogic Server

Amazon

EBS

Oracle Enterprise Linux

VNC

Other IDE

Public Cloud Development Scenario B

372010 Oracle CorporationCloud App Grid Deployment


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Clustered caching

Testing,

Tuning,

Diagnostics

Cloud

App Grid

Deployment

1. Why App Grid?



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In Review


Your choice: JDeveloper or Eclipse

Scale JPA applications with Grid

No rewrite for performance

Automated cache management

Spring Framework integration

Leverage server virtualization

Clients for Java, .NET, C++

Application Grid Development


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For More Information


search.oracle.com

application grid

or

www.oracle.com / goto / application grid


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