Jboss 4.0的开发人员版本是一个开源的应用服务器,他把HypersonicDB作为他的缺省数据库。然而,开发人员也许还要使用除了Hyperso
Jboss 4.0的开发人员版本是一个开源的应用服务器,他把HypersonicDB作为他的缺省数据库。然而,开发人员也许还要使用除了HypersonicDB以外其他种类的数据库,在这篇文章中我们将看到如何在Jboss上配置使用其他的数据库。
简介
Jboss4.0使用了JDBC配置文件来配置数据库连接,它为EJB和其它J2EE应用提供了数据源(data source)进行访问。如果你要使用HypersonicDB以外的数据库你就要修改这个配置文件。这篇文章将着重讲解下面的几个部分:
l Jboss的EJB部署描述符
l Oralce数据库的配置
l MySQL数据库的配置
l Sysbase数据库的配置
l DB2数据库的配置
l Infomix数据库的配置
Jboss的EJB部署描述符
standardjaws.xml (位于X:\jboss4\server\default\conf)是一个映射CMP 实体EJB的标准部署描述文件。它用于配置CMP实体EJB,你也可以使用jaws.xml代替。你可以把这个文件copy到ejb .jar文件中的META-INF目录下。这个文件用于描述下面的信息:
l 描述一个数据源和映射类型。
l 描述EJB映射的表
l 描述EJB的finder方法
l 描述类型映射
这里的数据源描述的是一个JNDI名称,可以通过这个JNDI来获得一个数据源连接池。Jboss4缺省的数据源使用的是HypersonicDB。如果使用其他的数据源你需要修改jaws.xml文件。
standardjbosscmp-jdbc.xml(位于X:\jboss4\server\default\conf)是配置Jboss CMP容器的标准部署描述文件,你也可以使用一个自定义的配置文件--jbosscmp-jdbc.xml来代替它。这个文件也放在EJB.jar文件的META-INF目录中。缺省使用的还是HypersonicDB作为数据库,这里也需要修改。
Oracle数据库的配置
Oracle以它的运行稳定和可靠成为了一个非常受欢迎的企业级数据库。要在Jboss 上配置使用Oracle的话我们要做的第一件事就是把Oracle的JDBC驱动程序复制到ClassPath下。我们把这个JDBC驱动程序复制到server/default/lib目录下。为了使用Oracle的事务处理数据源我们还要把/docs/examples/jca/oracle-xa-ds.xml复制到/server/default/deploy目录下。如果使用的事非事务处理的数据源,,就把/docs/examples/jca/oracle-ds.xml文件复制到/server/default/deploy目录下。
下一步,我们需要修改oracle-de.xml配置文件。其中的
Oracle OCI Type 2 Driver
Class: oracle.jdbc.driver.OracleDriver
URL: jdbc:oracle:oci8:@
Oracle OCI Thin Type 4 Driver
Class: oracle.jdbc.driver.OracleDriver
URL: jdbc:oracle:thin:@
Oracle OCI XA Type 2 Driver
Class: oracle.jdbc.xa.client.OracleXADataSource
URL: jdbc:oracle:thin:@
Oracle OCI Type 2 Driver
Class: oracle.jdbc.driver.OracleDriver
URL: jdbc:oracle:oci8:@
在Connection URL中
下一步,再修改standardjbosscmp-jdbc.xml 或 jbosscmp-jdbc.xml配置文件,设置

The main role of MySQL in web applications is to store and manage data. 1.MySQL efficiently processes user information, product catalogs, transaction records and other data. 2. Through SQL query, developers can extract information from the database to generate dynamic content. 3.MySQL works based on the client-server model to ensure acceptable query speed.

The steps to build a MySQL database include: 1. Create a database and table, 2. Insert data, and 3. Conduct queries. First, use the CREATEDATABASE and CREATETABLE statements to create the database and table, then use the INSERTINTO statement to insert the data, and finally use the SELECT statement to query the data.

MySQL is suitable for beginners because it is easy to use and powerful. 1.MySQL is a relational database, and uses SQL for CRUD operations. 2. It is simple to install and requires the root user password to be configured. 3. Use INSERT, UPDATE, DELETE, and SELECT to perform data operations. 4. ORDERBY, WHERE and JOIN can be used for complex queries. 5. Debugging requires checking the syntax and use EXPLAIN to analyze the query. 6. Optimization suggestions include using indexes, choosing the right data type and good programming habits.

MySQL is suitable for beginners because: 1) easy to install and configure, 2) rich learning resources, 3) intuitive SQL syntax, 4) powerful tool support. Nevertheless, beginners need to overcome challenges such as database design, query optimization, security management, and data backup.

Yes,SQLisaprogramminglanguagespecializedfordatamanagement.1)It'sdeclarative,focusingonwhattoachieveratherthanhow.2)SQLisessentialforquerying,inserting,updating,anddeletingdatainrelationaldatabases.3)Whileuser-friendly,itrequiresoptimizationtoavoidper

ACID attributes include atomicity, consistency, isolation and durability, and are the cornerstone of database design. 1. Atomicity ensures that the transaction is either completely successful or completely failed. 2. Consistency ensures that the database remains consistent before and after a transaction. 3. Isolation ensures that transactions do not interfere with each other. 4. Persistence ensures that data is permanently saved after transaction submission.

MySQL is not only a database management system (DBMS) but also closely related to programming languages. 1) As a DBMS, MySQL is used to store, organize and retrieve data, and optimizing indexes can improve query performance. 2) Combining SQL with programming languages, embedded in Python, using ORM tools such as SQLAlchemy can simplify operations. 3) Performance optimization includes indexing, querying, caching, library and table division and transaction management.

MySQL uses SQL commands to manage data. 1. Basic commands include SELECT, INSERT, UPDATE and DELETE. 2. Advanced usage involves JOIN, subquery and aggregate functions. 3. Common errors include syntax, logic and performance issues. 4. Optimization tips include using indexes, avoiding SELECT* and using LIMIT.


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