Introduction to Hibernate Search
Get started with Hibernate Search and its universal API, which bring the power of Lucene full-text searching to the Hibernate
ORM framework.
Dr. Xinyu Liu,
July 2008
iBATIS, Hibernate, and JPA: Which is right for you?
Don't let the old object-relational impedance mismatch get the best of you or your data. Compare ORM tools Hibernate and iBATIS
and the Java Persistence API itself, and find out how each one makes it easier to access your RDBMS using Java code.
K. L. Nitin, Ananya S., Mahalakshmi K., and S. Sangeetha,
July 2008
The PathProxy pattern: Persisting complex associations
Matthew Tyson is back with another of his highly useful design patterns. Learn the ins and outs of the PathProxy pattern,
which makes it easier to persist complex relationships without a proliferation of lookup tables.
Matthew Tyson,
July 2008
This week on JavaWorld.com
For the week of July 2nd
,
July 2007
This week on JavaWorld.com
For the week of June 25th
,
June 2007
Named Parameters for PreparedStatement
PreparedStatement can be cumbersome to use because its parameters are
accessed by index. A relatively simple wrapper can be written that lets you
set them by name.
Adam Crume,
April 2007
The Op Framework: A better Java database framework
The Op Framework is a lightweight, easy-to-configure JDBC access framework that provides rich tracking and tracing functionality.
It decouples your code from your database allowing you to capture and load named sets of data from the file system, enabling
data-driven test cases.
Paul Feuer,
January 2007
Try on Derby for size
Jeff Hanson illustrates how to get started using the Apache Derby
database. In this tutorial, he covers installation, use as both an
embedded database engine and as a network server, creation and
deletion of a database, and more.
Jeff Hanson,
September 2006
A Java database framework: Maintaining control of the development environment
This article, written from a database administrator's perspective,
discusses the importance of protecting the database. Author Todd
Loomis suggests adding a Java database framework that forms a
solid, well-tested layer between developers and the database. Using
such a database can greatly reduce risk and provide additional
tools for tracking and reporting problems.
Todd A. Loomis,
September 2006
Design and performance improvements with JDBC 4.0
Java Database Connectivity (JDBC) 4.0 is ready for release by mid
2006 as a part of Java Standard Edition 6.0. How can you leverage
the new specification to improve the design and performance of
database access and interactions in Java applications? This article
discusses the new features of JDBC 4.0, illustrates its solutions
to some existing problems, and presents its improvements in design
and performance through examples.
Shashank Tiwari,
May 2006
J2EE design decisions
In this article, an excerpt from POJOs in
Action (Manning Publications, January 2006), Chris
Richardson presents five questions developers must ask themselves
when designing enterprise applications.
Chris Richardson,
January 2006
The power of table-oriented programming
Since the introduction of object-oriented programming languages and
three-tier architectures, enterprise application designers have
tried to hide the relational database structure deep in the
application stack. But this increases the software's complexity and
forces developers to spend time making extra and, in most cases,
unnecessary layers that do little, except delegate to the layer
below. This article introduces Butler, a table-oriented Java
component library. Butler has an object model on top of Java
Database Connectivity (JDBC), which can be used instead of
hand-written SQL statements. Butler also has numerous data-aware
Swing components, which releases the burden of writing low-level
GUI logics in enterprise client applications.
Fredrik Bertilsson,
October 2004
Design a simple service-oriented J2EE application framework
Often, a J2EE Web application framework—Struts, for
example—doesn't address the Web-tier object references
between Action/servlet and other layers, such as a
plain old Java object (POJO) business manager, Enterprise JavaBeans
(EJB), Web services, and a data access object (DAO), or between a
DAO and JDBC (Java Database Connectivity) stored procedures. Thus,
Java developers end up with messy code in the Web tier
Action/servlet. This article describes in detail the
steps for developing a custom framework that addresses those
issues.
Fangjian Wu,
October 2004
JDBC scripting, Part 2
JudoScript is a rich functional scripting language, and an
easy and powerful general programming and Java scripting language.
In Part 1 of this series, I detailed JudoScript's JDBC (Java
Database Connectivity) scripting support. JudoScript's power comes
from its synergy of functional features such as JDBC scripting, and
the strength of programming and Java scripting. It is ideal for
modern data processing and other practical uses. JudoScript is
designed for all IT professionals and computer programmers, not
just Java developers.
In Part 2, I concisely introduce JudoScript's programming and
Java scripting features, which are all used in a real-world J2EE
case study that involves SQL, XML, Enterprise JavaBeans, email, and
Web services abstracted as a Java API. The resultant program is
short, obvious, and rich in functionality. In the end, I use
various criteria to compare JudoScript to other languages.
James Jianbo Huang,
July 2004
JDBC scripting, Part 1
JudoScript is an easy and powerful Java scripting language and has
4GL-like domain-specific functional support, allowing users to
intuitively specify what they want to do and program
algorithmically when necessary. Its multidomain functional support
puts JudoScript in a new category of functional scripting
languages. Like any 4GL (fourth-generation language),
JudoScript emphasizes specifying intentions and providing solutions
automatically, while other programming languages (3GLs) emphasize
describing solutions (algorithms) that realize the intentions.
JudoScript employs a JavaScript-like syntax and programming model
and provides more computing power with rich datastructures and
syntactic sugar. It is also fully potent in scripting Java, so that
all the Java platform resources are readily available. The synergy
of all these features renders great power, productivity, and
elegance for practical computing needs.
Data processing is one of JudoScript's most important
applications. Today's enterprise applications deal with rich data
formats such as relational databases, XML, SGML (Standard
Generalized Markup Language), abstract data types like EJBs
(Enterprise JavaBeans), Web services, as well as spreadsheets and
flat files. JudoScript is ideal for multiformat, multisource data
processing. This two-part series focuses on JudoScript's JDBC (Java
Database Connectivity) scripting support, introduces JudoScript the
language, and demonstrates its data processing power with a J2EE
case study. Part 1 details JudoScript's JDBC scripting support.
James Jianbo Huang,
June 2004
Recent top five:
Let's talk about exceptions ...
How do you handle exceptions? Do you think upfront about the type of exceptions that you want to catch or do you just let
the outside world handle it?
-- Jeroen van Bergen in JW Blogs
