Spring Quartz 持久化解决方案
Quartz是实现了序列化接口的，包括接口，所以可以使用标准方式序列化到数据库。
而Spring2.5.6在集成Quartz时却未能考虑持久化问题。
Spring对JobDetail进行了封装，却未实现序列化接口，所以持久化的时候会产生NotSerializable问题，这也是网上一直在那边叫嚣为什么不能持久化到数据库问题，哥今天看了下Spring源码，发现Spring对Quartz持久化的问题.
1. 不知道Spring未来会不会对持久化的支持，不过我们可以有如下解决方案，比如改写
Spring的代码，实现序列化接口.
2. 不使用Spring的Fatory,自己实现任务的初始化.
既然Spring不支持持久化，那么持久化任务还是自己编写实现吧，否则每次都需要打包发布，麻烦，自己编写的类与Quartz完全兼容.
注意:为什么Spring不支持外配置任务，可能也是考虑到这方面问题所以才不提供这些任务的执行化支持.[配置文件配置与数据库配置重复]
直接使用Quartz是支持序列化功能，比如直接使用页面配置Quartz界面，设置任务执行时间等属性。
通过配置实现的是不应该初始化到数据库，否则直接在数据库中配置了。不过也是可以配置的，通过改写JobDetailBean.代码如下:
package org.frame.auth.service;
import java.util.Map;
import org.quartz.Job;
import org.quartz.JobDetail;
import org.quartz.Scheduler;
import org.springframework.beans.factory.BeanNameAware;
import org.springframework.beans.factory.InitializingBean;
import org.springframework.scheduling.quartz.DelegatingJob;
import org.springframework.scheduling.quartz.SchedulerFactoryBean;
public class PersistentJobDetailBean extends JobDetail
implements BeanNameAware, InitializingBean {
private static final long serialVersionUID = -4389885435844732405L;
private Class actualJobClass;
private String beanName;
/**
* Overridden to support any job class, to allow a custom JobFactory
* to adapt the given job class to the Quartz Job interface.
* @see SchedulerFactoryBean#setJobFactory
*/
public void setJobClass(Class jobClass) {
if (jobClass != null && !Job.class.isAssignableFrom(jobClass)) {
super.setJobClass(DelegatingJob.class);
this.actualJobClass = jobClass;
}
else {
super.setJobClass(jobClass);
}
}
/**
* Overridden to support any job class, to allow a custom JobFactory
* to adapt the given job class to the Quartz Job interface.
*/
public Class getJobClass() {
return (this.actualJobClass != null ? this.actualJobClass : super.getJobClass());
}
/**
* Register objects in the JobDataMap via a given Map.
* <p>These objects will be available to this Job only,
* in contrast to objects in the SchedulerContext.
* <p>Note: When using persistent Jobs whose JobDetail will be kept in the
* database, do not put Spring-managed beans or an ApplicationContext
* reference into the JobDataMap but rather into the SchedulerContext.
* @param jobDataAsMap Map with String keys and any objects as values
* (for example Spring-managed beans)
* @see SchedulerFactoryBean#setSchedulerContextAsMap
*/
public void setJobDataAsMap(Map jobDataAsMap) {
getJobDataMap().putAll(jobDataAsMap);
}
/**
* Set a list of JobListener names for this job, referring to
* non-global JobListeners registered with the Scheduler.
* <p>A JobListener name always refers to the name returned
* by the JobListener implementation.
* @see SchedulerFactoryBean#setJobListeners
* @see org.quartz.JobListener#getName
*/
public void setJobListenerNames(String[] names) {
for (int i = 0; i < names.length; i++) {
addJobListener(names[i]);
}
}
public void setBeanName(String beanName) {
this.beanName = beanName;
}
public void afterPropertiesSet() {
if (getName() == null) {
setName(this.beanName);
}
if (getGroup() == null) {
setGroup(Scheduler.DEFAULT_GROUP);
}
}
}
这里把Spring的ApplicationContext去掉了，因为这个属性没有实现序列化接口。其他配置与原告一致:
<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE beans PUBLIC "-//SPRING//DTD BEAN//EN" " http://www.springframework.org/dtd/spring-beans.dtd ">
<beans default-autowire="byName">
<bean id="dataSource" class="org.springframework.jdbc.datasource.DriverManagerDataSource" destroy-method="close">
<property name="driverClassName" value="com.mysql.jdbc.Driver"/>
<property name="url" >
<value><![CDATA[jdbc:mysql://localhost:3306/txl?connectTimeout=1000&useUnicode=true&characterEncoding=utf-8]]></value>
</property>
<property name="username" value="root"/>
<property name="password" value=""/>
</bean>
<bean id="jobDetail" class = "org.frame.auth.service.PersistentJobDetailBean">
<property name="jobClass" value="org.frame.auth.service.PersistentJob"></property>
</bean>
<!-- <bean id="trigger" class="org.springframework.scheduling.quartz.SimpleTriggerBean" >-->
<!-- <property name="jobDetail" ref="jobDetail"></property>-->
<!-- <property name="startDelay" value="1000"></property>-->
<!-- <property name="repeatInterval" value="3000"></property>-->
<!-- <property name="jobDataAsMap">-->
<!-- <map>-->
<!-- <entry key="message" value="this is trigger"></entry>-->
<!-- </map>-->
<!-- </property>-->
<!-- </bean>-->
<bean id="cronTrigger" class="org.springframework.scheduling.quartz.CronTriggerBean" >
<property name="jobDetail" ref="jobDetail"/>
<property name="cronExpression">
<value>0/10 * * * * ?</value>
</property>
</bean>
<bean id="schedulerFactory" class="org.springframework.scheduling.quartz.SchedulerFactoryBean">
<property name="dataSource" ref="dataSource"></property>
<property name="applicationContextSchedulerContextKey" value="applicationContextKey" />
<property name="configLocation" value="classpath:quartz.properties"/>
</bean>
</beans>
org.frame.auth.service.PersistentJob这个类很简单，如下:
package org.frame.auth.service;
import org.quartz.Job;
import org.quartz.JobExecutionContext;
import org.quartz.JobExecutionException;
public class PersistentJob implements Job {
@Override
public void execute(JobExecutionContext context) throws JobExecutionException {
System.out.println("spring quartz!");
}
}
有人可能会说，你这种任务调度持久化就没有意义了，是的，一般持久化到数据库的代码如下:
package org.frame.auth.service;
import java.util.Map;
import org.quartz.JobExecutionContext;
import org.quartz.JobExecutionException;
import org.quartz.StatefulJob;
public class PersistentJob implements StatefulJob {
@Override
public void execute(JobExecutionContext context) throws JobExecutionException {
// TODO Auto-generated method stub
Map map = context.getJobDetail().getJobDataMap();
System.out.println("["+context.getJobDetail().getName()+"]"+map.get("message"));
map.put("message", "updated Message");
}
}
这样的话，信息message就会持久化到数据库中了.可以建立系统的连锁调度，这根据你的业务需求了.
在Spring中配置的任务通过我这种修改是可以运行，不过每次运行都需要把原先的任务删除，否则会提示任务已经存在，Quartz的优势是就算服务器停止，下次重启能够恢复原先的任务并继续执行.