In this post we will do a deep dive into Spring transaction management. We will go over on how does @Transactional really works under the hood. Other upcoming posts will include:

  • how to use features like propagation and isolation
  • what are the main pitfalls and how to avoid them
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You may recall from my post Autocomplete search box with jQuery and Spring MVC, that I use jQuery ui autocomplete to dynamically search for keywords on Podcastpedia.org. I am now in the process of migrating the source base for Podcastpedia.org to Spring 4. I decided to go with the latest version 4.1.0.RELEASE and everything worked pretty smoothly until I got to test the auto-complete functionality presented in the post mentioned before.

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In one of my projects I had a requirement to load reference data from several sources in a Java EE 6 WebLogic environment, with EclipseLink as ORM framework. Since I couldn’t find an annotation in the Java EE world comparable to the sweet @Cacheable from Spring YET, I had to write my “own” caching solution. Although reference data barely changes over time, one extra requirement was to be able to clear the cache from exterior. So here it goes…

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In this post, I will show how can Easy Batch tremendously simplify your batch applications by reducing plumbing code considerably. This will make your applications code more readable, understandable and maintainable!

The use case is a typical production application that loads data from an input CSV flat file to a database.

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Introduction

In my previous post I introduced the entity state transitions Object-relational mapping paradigm.

All managed entity state transitions are translated to associated database statements when the current Persistence Context gets flushed. Hibernate’s flush behavior is not always as obvious as one might think.

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