mule进阶之jdbc transport

本文在我的javaeyeblog地址如下：

http://lcllcl987.iteye.com/blog/350502

同步更新。

继续在mule的xml汪洋中遨游。
向一个vm:queue发送map消息， mule根据map信息， 动态执行sql， 并返回数据.select 的查询mule默认返回map数据.
配置文件：
<?xml version="1.0" encoding="UTF-8"?> <mule xmlns="http://www.mulesource.org/schema/mule/core/2.1" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:jdbc="http://www.mulesource.com/schema/mule/jdbc/2.1" xmlns:spring="http://www.springframework.org/schema/beans" xmlns:vm="http://www.mulesource.org/schema/mule/vm/2.1" xsi:schemaLocation=" http://www.mulesource.com/schema/mule/jdbc/2.1 http://www.mulesource.com/schema/mule/jdbc/2.1/mule-jdbc-ee.xsd http://www.mulesource.org/schema/mule/core/2.1 http://www.mulesource.org/schema/mule/core/2.1/mule.xsd http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans-2.5.xsd http://www.mulesource.org/schema/mule/vm/2.1 http://www.mulesource.org/schema/mule/vm/2.1/mule-vm.xsd"> <spring:bean id="dataSource" class="org.apache.commons.dbcp.BasicDataSource" destroy-method="close"> <spring:property name="driverClassName" value="com.mysql.jdbc.Driver" /> <spring:property name="url" value="jdbc:mysql://192.168.10.120/sand_res" /> <spring:property name="username" value="username" /> <spring:property name="password" value="888" /> <spring:property name="maxActive" value="30" /> <spring:property name="maxIdle" value="10" /> <spring:property name="maxWait" value="1000" /> <spring:property name="defaultAutoCommit" value="true" /> </spring:bean> <jdbc:connector name="jdbcConnector" dataSource-ref="dataSource"> <jdbc:query key="selectUser" value="SELECT first_name,last_name FROM app_user where first_name=#[map-payload:firstName]" /> <jdbc:query key="insertUser" value="insert into app_user (id,first_name,last_name ) values(#[map-payload:id], #[map-payload:firstName], #[map-payload:lastName])" /> </jdbc:connector> <!-- The Mule model initialises and manages your UMO components --> <model name="databaseModel"> <service name="insertUMO"> <!-- any number of endpoints can be added to an inbound router --> <inbound> <vm:inbound-endpoint path="query"/> </inbound> <!-- An outbound router can have one or more router configurations that can be invoked depending on business rules, message contents, headers or any other criteria. The pass-through-router is a router that automatically passes on every message it receives --> <outbound> <pass-through-router> <jdbc:outbound-endpoint queryKey="selectUser" synchronous="true"/> </pass-through-router> </outbound> </service> </model> </mule>

注意： 如果mule采用2.1， jdbc transport的namespase后缀为com， 而不是org， 如果写错，IDE不会提示，程序异常也很奇怪,让我折腾了一个下午:(
测试程序：
public class MyMuleClientTest { public static void main(String[] args) throws MuleException { // create mule MuleContext muleContext; String config = "my-mule-jdbc-config.xml"; muleContext = new DefaultMuleContextFactory().createMuleContext(config); muleContext.start(); // creat mule client MuleClient client = new MuleClient(); Map map = new HashMap(); map.put("firstName", "feng"); MuleMessage response = client.send("vm://query", map, null); System.out.println("response = " + response.getPayload()); } }
执行的sql为：
SELECT first_name,last_name FROM app_user where first_name="feng"

insert的执行类似，只需修改如下：
<outbound> <pass-through-router> <jdbc:outbound-endpoint queryKey="insertUser" synchronous="true"/> </pass-through-router> </outbound>

感觉mule的jdbc transtort， 就是畏缩版的ibatis,