一、spring整合
网上一搜有很多整合的方式，这里我采用了其中的一种（暂时还没有对其他的方法研究过）。
对于spring的整合其中的任务，spring提供了几个类、接口（这些类都实现了Job接口）：
org.springframework.scheduling.quartz.QuartzJobBean
org.springframework.scheduling.quartz.MethodInvokingJobDetailFactoryBean.MethodInvokingJob
org.springframework.scheduling.quartz.MethodInvokingJobDetailFactoryBean.StatefulMethodInvokingJob
QuartzJobBean和MethodInvokingJob是无状态的，StatefulMethodInvokingJob是有状态的。
可以选择自己的需求选择继承与哪个类。
关于Scheduler在Spring上的配置：
注意：其中lazy-init="false",和 <property name="autoStartup" value="true"/>最好按照自己的需求作统一的配置
二、quartz.properties 配置持久化的信息
# Default Properties file for use by StdSchedulerFactory# to create a Quartz Scheduler Instance, if a different# properties file is not explicitly specified.##============================================================================# Configure Main Scheduler Properties#============================================================================org.quartz.scheduler.instanceName = DefaultQuartzSchedulerorg.quartz.scheduler.rmi.export = falseorg.quartz.scheduler.rmi.proxy = falseorg.quartz.scheduler.wrapJobExecutionInUserTransaction = false#============================================================================# Configure ThreadPool#============================================================================org.quartz.threadPool.class = org.quartz.simpl.SimpleThreadPoolorg.quartz.threadPool.threadCount = 10org.quartz.threadPool.threadPriority = 5org.quartz.threadPool.threadsInheritContextClassLoaderOfInitializingThread = true#============================================================================# Configure JobStore#============================================================================#org.quartz.scheduler.classLoadHelper.class=org.quartz.simpl.CascadingClassLoadHelperorg.quartz.jobStore.misfireThreshold = 60000org.quartz.jobStore.useProperties = trueorg.quartz.jobStore.class = org.quartz.impl.jdbcjobstore.JobStoreTXorg.quartz.jobStore.driverDelegateClass = org.quartz.impl.jdbcjobstore.StdJDBCDelegate#havent cluster spring#org.quartz.jobStore.dataSource = myDS org.quartz.jobStore.tablePrefix = qrtz_org.quartz.jobStore.isClustered = false org.quartz.jobStore.maxMisfiresToHandleAtATime=1#============================================================== #Non-Managed Configure Datasource if you don't use spring cluster#============================================================== #org.quartz.dataSource.myDS.driver = com.mysql.jdbc.Driver #org.quartz.dataSource.myDS.URL = jdbc\:mysql\://localhost\:3306/qrtz #org.quartz.dataSource.myDS.user = root #org.quartz.dataSource.myDS.password = root #org.quartz.dataSource.myDS.maxConnections =10
这里要备注的是：org.quartz.jobStore.misfireThreshold = 60000
这个属性是配置当发现触发器过时，允许做就之内的trigger任有效。对于详细了解其中的机制，可以查看数据库的变化，特别是数据库中的QRTZ_FIRED_TRIGGERS表。
对于其状态有ACQUIRED和EXECUTING两个状态进行转化，并因此会影响QRTZ_TRIGGERS的表的数据。（个人猜想：quartz是利用这几个字段来保存断点的）
三、下面是项目的搭建代码：
任务类信息类JobModel
public class JobModel { private String jobName; private String group;//对于job，trigger相互绑定的，采用相同的group private Class jobClass; private Trigger trigger; public JobModel() { super(); } //.....getter,setter } 定义一个无状态的Job（若定义一个有状态的Job，需要继承与StatefulMethodInvokingJob）
public class CommonJob extends MethodInvokingJob{ @Override protected void executeInternal(JobExecutionContext context) throws JobExecutionException { System.out.println("commonJob executing ..."); JobDataMap dataMap = context.getJobDetail().getJobDataMap(); int value = Integer.parseInt(dataMap.getString("key")); System.out.println("value is " + value); dataMap.put("key", new Integer(++value).toString()); }} SchedulerManager一共对在scheduler中操作job
public class QrtzManager { private static Scheduler scheduler; static { ApplicationContext context = new ClassPathXmlApplicationContext( "applicationContext-quartz2.xml"); scheduler = (StdScheduler) context.getBean("quartzScheduler"); } public void standBy(){ try { scheduler.standby(); } catch (SchedulerException e) { e.printStackTrace(); } } public void start(){ try { scheduler.start(); } catch (SchedulerException e) { e.printStackTrace(); } } //add a job public void deploy(JobModel model,JobDataMap dataMap){ JobDetail jobDetail = new JobDetail(model.getJobName(),model.getGroup(),model.getJobClass()); jobDetail.setJobDataMap(dataMap); try { scheduler.scheduleJob(jobDetail,model.getTrigger()); } catch (SchedulerException e) { e.printStackTrace(); } } //delete a job public void unDeploy(String jobName,String group){ if (jobName.equals("") || group.equals("")) { return ; } try { scheduler.deleteJob(jobName, group); } catch (SchedulerException e) { e.printStackTrace(); } }} 测试类
package com.lps.schedulerserver.service02;import java.text.DateFormat;import java.text.ParseException;import java.text.SimpleDateFormat;import java.util.Date;import org.junit.Test;import org.quartz.CronTrigger;import org.quartz.JobDataMap;import org.quartz.SimpleTrigger;import org.quartz.Trigger;public class Main { public static void main(String[] args) { Trigger trigger = new SimpleTrigger("trigger02", "group02", new Date(), parse("2012-12-12 18:30:00"), 5, 10000L); JobModel model1 = new JobModel("job01", "group01", CommonJob.class, trigger); String expression = "0/15 * * ? * *"; Trigger trigger2 = null; try { trigger2 = new CronTrigger("trigger01", "group", expression); trigger2.setStartTime(new Date()); } catch (ParseException e) { e.printStackTrace(); } JobModel model2 = new JobModel("job02","group02",StatefulJob.class,trigger2); QrtzManager manager = new QrtzManager(); //jobdatamap JobDataMap dataMap = new JobDataMap(); dataMap.put("key", "1"); manager.deploy(model2, dataMap); System.out.println("deploy model2 at:"+new Date()); } public static Date parse(String str){ DateFormat format = new SimpleDateFormat("yy-MM-dd HH:mm:ss"); Date date = null ; try { date = format.parse(str); } catch (ParseException e) { e.printStackTrace(); } return date; } @Test public void deleteJob(){ QrtzManager manager = new QrtzManager(); manager.unDeploy("job01","group01"); }}
本文转自：http://www.cnblogs.com/interdrp/p/3551446.html