Jan 23

I have been making references  to Tom Barrett’s tutorials in my blog entries, screencasts, and writeups, but without providing the links to them. Now, courtesy of Tom, I am able to do so. See below for the link and the description of Tom’s tutorials.

The three tutorial documents from CEC 2008 are posted at:

See the following section:

Sun Customer Engineering Conference (CEC) – Three Tutorials
The following three tutorials were developed for customer-facing systems engineers at Sun and at Sun partners. They were delivered at CEC 2008 held in Las Vegas in November, 2008. The goal of these three tutorials is to document the steps necessary to create, from scratch, three demonstrations that were delivered in Java CAPS/GlassFish ESB/Open ESB-related sessions at CEC 2008.

1. Exploring GlassFish ESB (V 1.1) – 90 pages – November 6, 2008 This tutorial is based upon an Internet store front scenario where customers purchase items and purchase orders (POs) are generated and forwarded to the “backend” Purchaser. The Purchaser, in turn, collaborates with the Supplier which coordinates shipping and generates a delivery notices (DNs). DNs are returned to the Purchaser and the Purchaser matches up DNs with POs before forwarding instructions to Finance for further processing.

Specific technical topics include:

Custom encoder to marshal XML to delimited records and unmarshal delimited records to XML
BPEL: looping, predicates and correlation
Service Engines: BPEL
Binding Components: HTTP, File, JMS

2. Exploring Sun ESB Suite: Open ESB Technology (V 1.1) – 51 pages – November 18, 2008
This tutorial explores a health care scenario that analyzes HL7 ADT (Admission Discharge Transfer) records to identity patient length of stays that have exceeded an average threshold set by management.  The Intelligent Event Processor (IEP) computes a moving average and identifies ADT records that note an exceptional patient length of stay.  IEP generates an alert for each excessive length of stay detected.

Specific technical topics include:

Intelligent Event Processor (IEP) (Time-Based Window, Relation Aggregator, Correlator / Filter)
BPEL orchestration
File BC for ADT record input
BPEL process invokes IEP via HTTP binding component
IEP uses File BC for output
Service Engines: BPEL, IEP
Binding Components: HTTP, File

3. Exploring Sun MDM Suite: Open ESB and Mural Technology (V 1.0) – 111 pages – November 6, 2008
This tutorial explores a health care scenario where multiple patient master databases exist containing duplicate and inconsistent patient information. A patient master index is defined and a patient application is generated that stores its master index in MySQL, provides a web-based interface to maintain index records, surfaces web services that can be called by other applications to do programmatic access to the index records and supports a JMS topic to broadcast master index changes to other hospital applications.

Specific technical topics include:

Defining patient data model
Establishing MySQL tables
BPEL process feeding index via web service call
BPEL process “listening” on JMS topic for index updates
Using Master Index Data Manager web app
Service Engines: BPEL
Binding Components: File, JMS

Errata:  If you have trouble with this version of the tutorial, please see these errata notes.  Thanks to all who have provided feedback. I’ll address these issues/comments in the next version of the tutorial.

— Tom Barrett

Dec 19

Following the CEC 2008 Conference in Las Vegas, where the Java CAPS Stream saw a bunch of presentations and demonstrations, I am happy to offer screencasts of the three demonstration sessions I recorded for the event.

The GlassFish ESB screencast is the ScreenCast of the CEC 2008 GlassFish ESB Essentials Lab demonstration. This is a recording of the demonstration described in detail by Tom Barrett in
the GlassFish ESB Tutorial and Lab document. The screencast is an extended version of what the CEC audience got to see. In this screencast I use the OpenESB distribution to discuss, design and implement an abbreviated Supply Chain solution
. I use the File BC, the SOAP/HTTP BC, BPEL 2.0 SE, the Custom Ecoder, the XSD Editor, the WSDL Editor, BPEL correlations, BPEL Pick wit Timer, CASA Editor and a bunch of other OpenESB/GlassFish ESB featiures and facilities. Watching the screencast will give you a pretty good idea what the tooling looks like, how easy it is ti use it, how a theoretical requirement can be turned into a practical design and how that design can be implemented and exercised using the tooling and infrastructure you can get free of charge and use as much as you might desire.

Data for the following two screencasts/demonstrations is produced by the solution discussed in the next blog entry, which ought to precede these two.

The Java CAPS 6/Mural Master data Management screencast is the ScreenCast of the CEC 2008 Java CAPS Essentials Master Data Management (MDM) Lab demonstration. This is a recording of the demonstration described in detail by Tom Barrett in the Java CAPS Essentials MDM Tutorial and Lab document. In the screencast I discuss what the Master Data Management (MDM) is, how a Healthcare enterprise might leverage it to improve its business and how the OpenESB or Java CAPS 6 can be used to implement MDM. I use OpenESB to design a Master Patient Index Data Model, implement it with the tool, generate Data Model-based Master Index Data Management Web Application, build an integration solution to feed the MDM solution with transactional data form Hospital Information Systems and build a broadcast processor solution that can be used to send master patient index updates to downstream systems which have a need to be kept in synch with the enterprise view of the patient. One will get a very good idea of what the core Master Data Management is about, how easy it is to create the MDM Application and related integration components using the OpenESB/Java CAPS 6 tooling, and how the business of maintaining master patient index looks and works like.

The Java CAPS 6 / Intelligent Event Processor screencast is the ScreenCast of the CEC 2008 Java
CAPS Essentials IEP Lab demonstration. This is a recording of the demonstration described in detail by Tom Barrett in the Java CAPS Essentials IEP Tutorial and Lab document.The screencast is what the CEC audience got to see. In this screencast I demonstrate how an Intelligent Event Processing (IEP) solution is built and exercised. The solution addresses a Helathcare business problem – it calculates an Average Length of Stay for each patient in a sliding time window, based on data from an ADT A03 HL7 Discharge message, works out which patients’ Length of Stay exceeds average for the patients in the window by 1.5 times, and passes records related to these patients
on while discarding ‘normal’ records.

The AVIs were recorded with Camtasia Studio. You may need a Camtasia Player to playe them on Windows. You could also try getting a Camtasia codec for your platform/player from the Camtasia site.

I had audio quality problems when directly playing the recordings through Mozilla, which used the Quicktime plugin. The best thing to do is to download the recordings and try different players until one works for you.;


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Dec 07

Every now and then someone has a need/desire to collect and process performance and usage metrics of JMS destinations and the messaging system.  Knowing that there is a buildup of messages in a particular destination over time might indicate that a downstream component is failing or the downstream external system is not available. This, in turn, may enable operational staff in the enterprise to intervene before things get out of hand. In more sophisticated solutions, knowing that a buildup of messages occurs may enable the solution to automatically bring on line additional resources, perhaps by starting additional copies of appropriate components or starting additional machines which host consumers that will take up the load.

The Java Message Queue implementation (hereafter Java MQ) has monitoring metrics collection built in and provides a convenient way of programmatic access to these metrics.

Java CAPS 5.1, Java CAPS 6, GlassFish ESB (commercially supported subset of OpenESB) and OpenESB all provide support for the Java MQ as the messaging infrastructure so solutions can be built to take advantage of this functionality.

This Note presents example projects, built using Java CAPS 6 Classic components and an example built using the Java CAPS 6/GlassFish ESB JMS JCA Adapter, which receive and “process” Java MQ metrics. How you can take advantage of this capability in your enterprise solutions is up to you and your creativity.

Nov 18

It has been a while. I was busy. One of the things that kept me busy was putting together demonstrations for the CEC 2008 in Las Vegas, then delivering them. As an offshoot of that work I have a fair bit of material to share, which will take some time to put together into a form that can be posted in the blog. This piece is the first one.

Whereas Java CAPS 6 supports interaction with the Java MQ infrastructure through the Enterprise Manager, neither OpenESB nor GlassFishESB include the ‘Enterprise’ class functionality found in the Java CAPS ‘classic’, GUI for interaction with the JMS being one of example.

Here is a step-by-step on how to configure Hermes JMS (http://www.hermesjms.com/) for use with Java MQ, distributed as part of the OpenESB, GlassFishESB and Java CAPS 6. <- This link points to the original post.

The updated post, including material from the comments below, is available as HermesJMS_Configuration_for_JavaMQ and should be used instead.

Jun 21

The attached document explores the ability of Java CAPS 6/JBI and OpenESB to expose and execute Java-based logic as a JBI service. It walks through the process of creation, deployment and execution of a simple File-to-File integration solution that reads an XML record from a text file, invokes java logic that operates on that record then writes the XML response record into a file.


There are errors in pictures on pages 12 and 13. The WSDL name in the pictures does not correspond to the name in the text. This error is corrected in revision 1.1 of the document, 04File2FielJavaEE_1.1.pdf. Thanks to Juraj Kazda for spotting the issue.

Jun 15

The attached document briefly explores the Encoder aspect of Java CAPS 6/JBI and OpenESB. It walks through the process of creation, deployment and execution of a simple File-to-File integration solution that reads comma-delimited record from a text file, ‘decodes’ then into XML and writes the XML-equivalent records into a file. The project is then extended to ‘encode’ XML records back to CSV format on output.

The focus is the practice of using JBI components not the theory of JBI.

This document addresses the integration solution developers, not developers of Service Engines or Binding Components.

The project uses JBI components only, that’s why it is just as good for OpenESB exploration as it is for Java CAPS 6/JBI exploration.

JBI (Java Business Integration) is not discussed to any great extent. JBI artifact names are used in discussion but not elaborated upon. Explanations are provided where necessary to foster understanding of the mechanics of developing integration solutions using JBI technologies in OpenESB and Java CAPS 6/JBI.

Java CAPS 6 and OpenESB are two of a number of toolkits that implement the JBI specification (JSR 208). When I use an expression like “In JBI …” I actually mean “In JBI as implemented in Java CAPS 6 and OpenESB …”. The same things may well be implemented differently in other JBI toolkits.

Java CAPS 6 “Revenue Release” is used and shown in illustrations. OpenESB can be used instead however the appearance of components shown in illustrations may vary somewhat.

I use Windows to develop these solutions and make no effort to verify that the solutions will run on other platforms.

The complete walkthrough is here.

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