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Understanding pureQuery, Part 1: pureQuery: IBM's new paradigm for writing Java database applications
Introduction The objectization of relational data access Most businesses are built on information management systems whose main underlying infrastructures are based on data stored in one or more relational databases. These systems consist of software programs whose sole purpose is information processing and are implemented in managed languages such as Java. As an OO-based language characterized by ease of use for encapsulation, inheritance and polymorphism, Java is used on the one hand to implement the computational and logical aspects of information processing programs, and on the other hand to access and manipulate relational data.
Overview pureQuery simplifies Java data access development by providing out-of-the-box support for storing and retrieving objects, such as Java beans and maps, to and from the database. Inline methods also support the use of customized user-defined result processing. With annotated methods, the SQL/XQUERY string is defined within a pureQuery annotation. These annotations are placed on method declarations within a user-defined interface.
Write high performance Java data access applications, Part 2: Introducing pureQuery built-in inline methods
Overview The pureQuery data access platform provides benefits to data access applications by enabling improved performance, improved developer productivity, improved management, and improved problem determination. The Resources section of this article includes references to help you understand the benefits of pureQuery. These benefits do not require the use of the pureQuery API, made possible by using a process called client optimization . However, the focus of this article series is on new development and the use of the pureQuery APIs, which you can use with the DB2 family, Informix, and Oracle databases. This article covers the following topics related to pureQuery data access objects (DAOs), created using annotated methods:
Write high performance, Java data access applications, Part 1: Introducing pureQuery annotated method data access objects
Write high performance Java data access applications, Part 3: pureQuery API best practices
Introduction The first two articles of this series described in detail how to use inline methods and how to use data access object interfaces (DAOs) to access the database. This third article provides you with insight on various best practices of development using pureQuery. Most of these practices exploit the advanced features of the pureQuery API. Whenever applicable, a real world scenario is used to illustrate the usage of the described feature. The code snippets included are for illustrative purposes only, but should give you a good idea of how to use the API.Première conférence : Groovy, Seven Usage Patterns par Dierk König. L’objectif de cette présentation est de nous montrer 7 cas d’utilisations réels de Groovy dans le monde de l’entreprise. Voici une photo prise durant la séance : #1 SuperGlue Groovy permet de créer rapidement des applications simples en utilisant l’API de base.
