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.