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Jayesh Pateljayesh@yagnasys.com

703.589.8403

WebLogic JMS Clustering

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About the Presenter

Independent J2EE/WebLogic consultant

9 years of IT experience.

Current Work at EDS/Federal Reserve Banks

TWAI (Treasury Web ApplicationInfrastructure) project.

7 years of focus in J2EE/WebLogic

Technologies, Previously worked at BEA. Design, Development, Performance Tuning and

Enterprise Architecture.

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JMS Clustering Agenda

JMS Basics

WebLogic JMS

Clustered JMS

Overview

Load Balancing

Migration/Failover

WebLogic 9.0

Key JMS Enhancements

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JMS Clustering - JMS Basics

Message Producer and Consumers aredecoupled.

Message Consumption Modes

Synchronous Asynchronous - MessageListener

Acknowledgment Modes AUTO_ACKNOWLEDGE

CLIENT_ACKNOWLEDGE

DUPS_OK_ACKNOWLEDGE

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JMS Clustering WebLogic JMS

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JMS Clustering Overview WebLogic JMS Server

Pinned to single server instance - DataIntegrity.

Migratable to the alive WebLogic instance

Failover Clustered JMS Resources

Distributed Destination

Virtual Destination with Physical Member Destinations Uniform Distributed Destination WLS 9.0

Clustered Connection Factory Connection load balancing

Message load balancing

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JMS Clustering Load Balancing

Options Round Robin Distribution Random

Weight Based Distribution

Consumer Load Balancing Consumers are load balanced Pinned to physical destination After consumer is created.

Producer Load Balancing Producer connection is load balanced

Each message produced is load balanced across memberdestinations

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MS Clustering Distributed

Queue

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MS Clustering Distributed

Topic

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MS Clustering - Load Balancing

Heuristics Transaction Affinity

Messages in transacted session

Server Affinity Load balance to local members of the server instance.

Queues With Zero Consumers Queues with zero consumer are considered for load

balancing until all physical Qs have one consumer

Message Load Balancing Skips queue with Zero consumers

Paused Distributed Destination Members WLS 9.0 Load Balancing algorithm skips paused destination

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MS Clustering MS Server

Migration

JMS Server Migration Scheduled migration. In response of the server failure.

Requirements JMS store should accessible from source and destination

server Migratable target server should belong to same cluster

Server Migration WLS 8.1 Manual migration WLS 9.0 - Automated migration

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MS Clustering MS Server

Migration

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MS Clustering MS Server

Migration JMS Server Migration

Key Points MDBs are migrated automatically

Non-MDB subscribers need to recreated.

Local Destination JNDI will cause conflict.

JMS Server Recovery JMS Server can be migrated back to original

server.

Run java weblogic.PurgeConfigCache beforestarting original Server to prevent redundantactivation of the migrated service.

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WebLogic 9.0

Messaging Enhancements

Support for JMS 1.1 API

Store and Forward Messaging to potentially

unavailable endpoints

Improved reliability asynchronous store andforward between serversand domains

Preserves message

ordering Used to support WS-

ReliableMessaging More efficient than two-

phase JTA transactions

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WebLogic 9.0

Messaging Enhancements Automated JMS Server failover in cluster

Heartbeat enables migration It was manual in 8.1 Failover of the persistence messages File Store , JDBC Store

JMS Server Administration View / browse all messages

Delete, move, import, export messages Pause / resume individual message Modular configuration of JMS Resources in EAR/WAR Message Life Cycle Logging

Performance Improved file store implementation with advanced

performance I/O algorithm. MDB Bach transactions.

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Resources

JMS Resources Product Documentation

http://e-docs.bea.com/wls/docs81/messaging.html

http://e-docs.bea.com/wls/docs90/messaging.html

BEA dev2dev Web Site White Papers , Examples andDocumentation. http://dev2dev.bea.com/technologies/jms/index.jsp

JMS Newsgroups http://forums.bea.com/bea/forum.jspa?forumID=2023

JMS Specification

http://java.sun.com/products/jms/docs.html

Java User Group Forum novajug@yahoogroups.com

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WebLogic JMS Clustering

Questions?

Jayesh Patel,703.589.8403jayesh@yagnasys.comJ2EE/WebLogic/SOA ConsultantArchitecture AssessmentArchitecture Validation- Proof of Concept

System Optimization - Performance TuningOutage AnalysisSystem Integration, Disaster Recovery

http://www.yagnasys.com