qr code scanner java app Introducing JBoss Seam in Java

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Introducing JBoss Seam
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cluster, a second-level cache forces an update of the caches on all cluster nodes whenever any piece of data is modified by any node. With the conversational cache, only the nodes required for load balancing or failover of this particular conversation have to participate in replication of the current conversation data (which is in this case stateful session bean replication). Replication can be significantly reduced, because no global shared cache needs to be synchronized. We d like to talk about Seam much more and show you other examples, but we re running out of paper.
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17.6 Summary
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In this chapter, we looked at JSF, EJB 3.0, and how a web application that utilizes these standards can be improved with the JBoss Seam framework. We discussed Seam s contexts and how components can be wired together in a contextual fashion. We talked about integration of Seam with Hibernate Validator, and you saw why a Seam-managed persistence context is the perfect solution for LazyInitializationExceptions. If you found this excourse into the Seam world interesting, much more is waiting to be discovered:
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The Seam component model also supports an event/listener concept, which allows components to call each other with a loosely coupled (wired through expressions) observer/observable pattern. You can enable a stateful navigation flow for a conversation with a pageflow descriptor, replacing the stateless JSF navigation model. This solves any problems you may have with the user clicking the Back button in the browser during a conversation. Seam has a sophisticated concurrency model for asynchronous processing on the server (integrated with JMS), as well as concurrency handling in conversations (Seam protects conversations from double-submits). Seam allows you to tie conversations and business process management tasks together easily. It integrates the workflows and business process context of JBoss jBPM (http://www.jboss.com/products/jbpm). Seam integrates JBoss Rules (http://www.jboss.com/products/rules). You can access policies in Seam components and Seam components from rules.
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Summary
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A JavaScript library is bundled with Seam. With this Remoting framework, you can call Seam components from client-side code easily. Seam can handle any Ajax requests to your server. The Seam Application Framework provides out-of-the-box components that enable you to write an easily extendable CRUD database application in minutes. Seam components are easily testable, with or without an (embeddable) container. Seam makes integration and functional testing extremely easy with the SeamTest superclass for TestNG; this class allows you to script interactions that simulate a web browser.
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If you want to continue with Seam and explore other features that didn t make it into this list, continue with the tutorials in the Seam reference documentation.
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appendix A: SQL fundamentals
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APPENDIX A
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A table, with its rows and columns, is a familiar sight to anyone who has worked with an SQL database. Sometimes you ll see tables referred to as relations, rows as tuples, and columns as attributes. This is the language of the relational data model, the mathematical model that SQL databases (imperfectly) implement. The relational model allows you to define data structures and constraints that guarantee the integrity of your data (for example, by disallowing values that don t accord with your business rules). The relational model also defines the relational operations of restriction, projection, Cartesian product, and relational join [Codd, 1970]. These operations let you do useful things with your data, such as summarizing or navigating it. Each of the operations produces a new table from a given table or combination of tables. SQL is a language for expressing these operations in your application (therefore called a data language) and for defining the base tables on which the operations are performed. You write SQL data definition language (DDL) statements to create and manage the tables. We say that DDL defines the database schema. Statements such as CREATE TABLE, ALTER TABLE, and CREATE SEQUENCE belong to DDL. You write SQL data manipulation language (DML) statements to work with your data at runtime. Let s describe these DML operations in the context of some tables of the CaveatEmptor application. In CaveatEmptor, you naturally have entities like item, user, and bid. We assume that the SQL database schema for this application includes an ITEM table and a BID table, as shown in figure A.1. The datatypes, tables, and constraints for this schema are created with SQL DDL (CREATE and ALTER operations). Insertion is the operation of creating a new table from an old table by adding a row. SQL databases perform this operation in place, so the new row is added to the existing table:
insert into ITEM values (4, 'Fum', 45.0)
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