Amazon.com Review
Java Database Programming with JDBC by Pratik Patel and Karl Moss is an updated edition of the authors' guide to the Java Database Connectivity (JDBC) standard for database programming under Java. While the original edition was perhaps geared more to those developers who needed to write their own JDBC database drivers, a fairly arduous task, this new edition provides more background information on database connectivity issues in Java and so will be even more useful to the casual or intermediate programmer. After a general introduction to JDBC and Structured Query Language (SQL), useful even to beginning programmers, the authors start by building a simple database-aware applet. New chapters on "servlets," Java components that run on the server-side and manage database operations, as well as a general discussion of middleware technologies are particularly good. Database access for JavaBean components (from Sun Microsystems JDK 1.1) is also discussed, including working code for two database-aware beans. This book also includes a quick introduction to the Java language (which will only be helpful if you already know C/C++), a detailed reference for the JDBC API, and a working example of a text-based JDBC driver. Though this book is still oriented toward the JDBC driver developer, the authors now provide enough general discussion of JDBC architectural issues to make it worthwhile to any programmer who needs to ramp up on what JDBC is and what capabilities it offers.
About the Author
Karl Moss (Raleigh, NC) is a Software Engineer at SAS Institute. He has been significantly involved with the JDBC specification since its inception, and was the sole developer of the JDBC-ODBC Bridge. Karl has since written several other JDBC drivers and continues to help shape the future of JDBC.
Pratik Patel (Chapel Hill, NC) is a freelance technology writer and co-author of Java Programming for the Internet (Ventana). He is also a researcher in the Duke UNC-Chapel Hill Medical Informatics research program and is developing Web-based systems for health care.