Write high performance Java data access applications, Part 3, pureQuery API best practices

Learn about pureQuery best practices by looking at code snippets and real-world scenarios.

From the developerWorks archives

Vitor Rodrigues

Date archived: March 2, 2017 | Last updated: September 23, 2010|First published: August 14, 2008

pureQuery is a high-performance data access platform that makes it easier to develop, optimize, secure, and manage data access. It consists of tools, APIs, a runtime, and client monitoring services. The previous articles in this series introduced the use of data access objects (DAOs) and built-in inline methods to access the database. This article summarizes some best practices for development using pureQuery and gives you real-world scenarios that illustrate how to implement these practices. [23 Sept 2010: This article was updated to include product name changes and additional resources that were made available since its original publication in August 2008. --Ed.]

This content is no longer being updated or maintained. The full article is provided "as is" in a PDF file. Given the rapid evolution of technology, some steps and illustrations may have changed.



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