SpringBoot结合Quartz实现数据库存储

网友投稿 1029 2022-11-07

SpringBoot结合Quartz实现数据库存储

SpringBoot结合Quartz实现数据库存储

目录一、先创建一个SpringBoot项目二、导入依赖 三、 导入DruidConnectionProvider.java(Druid连接池的Quartz扩展类)四、 修改自定义quartz.properties配置(在项目中添加quartz.properties文件(这样就不会加载自带的properties文件) )五、自定义MyJobFactory,解决spring不能在quartz中注入bean的问题六、创建调度器schedule七、 创建自定义任务八、 更新quartz中的任务小结:

一、先创建一个SpringBoot项目

还有一个截屏忘了截屏,就是选择保存路径选择一下就点Finish就可以了。

更改application.properties为application.yml

application.yml文件如下

server:

port: 8080

#数据库连接池druid配置

spring:

datasource:

#1.JDBC

type: com.alibaba.druid.pool.DruidDataSource

driver-class-name: com.mysql.cj.jdbc.Driver

url: jdbc:mysql://localhost:3306/quartz?useUnicode=true&characterEncoding=utf8&serverTimezone=GMT%2B8&useSSL=false

username: root

password: 123

druid:

#2.连接池配置

#初始化连接池的连接数量 大小,最小,最大

initial-size: 5

min-idle: 5

max-active: 20

#配置获取连接等待超时的时间

max-wait: 60000

#配置间隔多久才进行一次检测,检测需要关闭的空闲连接,单位是毫秒

time-between-eviction-runs-millis: 60000

# 配置一个连接在池中最小生存的时间,单位是毫秒

min-evictable-idle-time-millis: 30000

validation-query: SELECT 1 FROM DUAL

test-while-idle: true

test-on-borrow: true

test-on-return: false

# 是否缓存preparedStatement,也就是PSCache 官方建议MySQL下建议关闭 个人建议如果想用SQL防火墙 建议打开

pool-prepared-statements: true

max-pool-prepared-statement-per-connection-size: 20

# 配置监控统计拦截的filters,去掉后监控界面sql无法统计,'wall'用于防火墙

filter:

stat:

merge-sql: true

slow-sql-millis: 5000

#3.基础监控配置

web-stat-filter:

enabled: true

url-pattern: /*

#设置不统计哪些URL

exclusions: "*.js,*.gif,*.jpg,*.png,*.css,*.ico,/druid/*"

session-stat-enable: true

session-stat-max-count: 100

stat-view-servlet:

enabled: true

url-pattern: /druid/*

reset-enable: true

#设置监控页面的登录名和密码

login-username: admin

login-password: admin

allow: 127.0.0.1

mybatis:

mapper-locations: classpath*:mapper/*.xml

type-aliases-package: com.zking.quartz02.model

二、导入依赖

1.导入Quartz依赖

org.quartz-scheduler

quartz-jobs

2.2.1

org.springframework.boot

spring-boot-starter-quartz

2.用于我用的是Druid数据库连接池,所以我需要更换成Druid连接池,先引入Druid依赖。

com.alibaba

druid-spring-boot-starter

1.1.10

三、 导入DruidConnectionProvider.java(Druid连接池的Quartz扩展类)

package com.zking.quartz02.utils;

import com.alibaba.druid.pool.DruidDataSource;

import org.quartz.SchedulerException;

import org.quartz.utils.ConnectionProvider;

import java.sql.Connection;

import java.sql.SQLException;

/*

#============================================================================

# JDBC

#============================================================================

org.quartz.jobStore.driverDelegateClass:org.quartz.impl.jdbcjobstore.StdJDBCDelegate

org.quartz.jobStore.useProperties:false

org.quartz.jobStore.dataSource:qzDS

#org.quartz.dataSource.qzDS.connectionProvider.class:org.quartz.utils.PoolingConnectionProvider

org.quartz.dataSource.qzDS.connectionProvider.class:com.zking.q03.quartz.DruidConnectionProvider

org.quartz.dataSource.qzDS.driver:com.mysql.jdbc.Driver

org.quartz.dataSource.qzDS.URL:jdbc:mysql://127.0.0.1:3306/test?useUnicode=true&characterEncoding=UTF-8

org.quartz.dataSource.qzDS.user:root

org.quartz.dataSource.qzDS.password:root

org.quartz.dataSource.qzDS.maxConnections:30

org.quartz.dataSource.qzDS.validationQuery: select 0

*/

/**

* [Druid连接池的Quartz扩展类]

*/

public class DruidConnectionProvider implements ConnectionProvider {

/*

* ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

*

* 常量配置,与quartz.properties文件的key保持一致(去掉前缀),同时提供set方法,Quartz框架自动注入值。

*

* ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

*/

//JDBC驱动

public String driver;

//JDBC连接串

public String URL;

//数据库用户名

public String user;

//数据库用户密码

public String password;

//数据库最大连接数

public int maxConnection;

//数据库SQL查询每次连接返回执行到连接池,以确保它仍然是有效的。

public String validationQuery;

private boolean validateOnCheckout;

private int idleConnectionValidationSeconds;

public String maxCachedStatementsPerConnection;

private String discardIdleConnectionsSeconds;

public static final int DEFAULT_DB_MAX_CONNECTIONS = 10;

public static final int DEFAULT_DB_MAX_CACHED_STATEMENTS_PER_CONNECTION = 120;

//Druid连接池

private DruidDataSource datasource;

/*

* ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

*

* 接口实现

*

* ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

*/

public Connection getConnection() throws SQLException {

return datasource.getConnection();

}

public void shutdown() throws SQLException {

datasource.close();

}

public void initialize() throws SQLException{

if (this.URL == null) {

throw new SQLException("DBPool could not be created: DB URL cannot be null");

}

if (this.driver == null) {

throw new SQLException("DBPool driver could not be created: DB driver class name cannot be null!");

}

if (this.maxConnection < 0) {

throw new SQLException("DBPool maxConnectins could not be created: Max connections must be greater than zero!");

}

datasource = new DruidDataSource();

try{

datasource.setDriverClassName(this.driver);

} catch (Exception e) {

try {

throw new SchedulerException("Problem setting driver class name on datasource: " + e.getMessage(), e);

} catch (SchedulerException e1) {

}

}

datasource.setUrl(this.URL);

datasource.setUsername(this.user);

datasource.setPassword(this.password);

datasource.setMaxActive(this.maxConnection);

datasource.setMinIdle(1);

datasource.setMaxWait(0);

datasource.setMaxPoolPreparedStatementPerConnectionSize(this.DEFAULT_DB_MAX_CACHED_STATEMENTS_PER_CONNECTION);

if (this.validationQuery != null) {

datasource.setValidationQuery(this.validationQuery);

if(!this.validateOnCheckout)

datasource.setTestOnReturn(true);

else

datasource.setTestOnBorrow(true);

datasource.setValidationQueryTimeout(this.idleConnectionValidationSeconds);

}

}

/*

* ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

*

* 提供get set方法

*

* ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

*/

public String getDriver() {

return driver;

}

public void setDriver(String driver) {

this.driver = driver;

}

public String getURL() {

return URL;

}

public void setURL(String URL) {

this.URL = URL;

}

public String getUser() {

return user;

}

public void setUser(String user) {

this.user = user;

}

public String getPassword() {

return password;

}

public void setPassword(String password) {

this.password = password;

}

public int getMaxConnection() {

return maxConnection;

}

public void setMaxConnection(int maxConnection) {

this.maxConnection = maxConnection;

}

public String getValidationQuery() {

return validationQuery;

}

public void setValidationQuery(String validationQuery) {

this.validationQuery = validationQuery;

}

public boolean isValidateOnCheckout() {

return validateOnCheckout;

}

public void setValidateOnCheckout(boolean validateOnCheckout) {

this.validateOnCheckout = validateOnCheckout;

}

public int getIdleConnectionValidationSeconds() {

return idleConnectionValYpfXXidationSeconds;

}

public void setIdleConnectionValidationSeconds(int idleConnectionValidationSeconds) {

this.idleConnectionValidationSeconds = idleConnectionValidationSeconds;

}

public DruidDataSource getDatasource() {

return datasource;

}

public void setDatasource(DruidDataSource datasource) {

this.datasource = datasource;

}

}

四、 修改自定义quartz.properties配置(在项目中添加quartz.properties文件(这样就不会加载自带的properties文件) )

#

#============================================================================

# Configure Main Scheduler Properties \u8C03\u5EA6\u5668\u5C5E\u6027

#============================================================================

org.quartz.scheduler.instanceName: DefaultQuartzScheduler

org.quartz.scheduler.instanceId = AUTO

org.quartz.scheduler.rmi.export: false

org.quartz.scheduler.rmi.proxy: false

org.quartz.scheduler.wrapJobExecutionInUserTransaction: false

org.quartz.threadPool.class: org.quartz.simpl.SimpleThreadPool

org.quartz.threadPool.threadCount= 10

org.quartz.threadPool.threadPriority: 5

org.quartz.threadPool.threadsInheritContextClassLoaderOfInitializingThread: true

org.quartz.jobStore.misfireThreshold: 60000

#============================================================================

# Configure JobStore

#============================================================================

#\u5B58\u50A8\u65B9\u5F0F\u4F7F\u7528JobStoreTX\uFF0C\u4E5F\u5C31\u662F\u6570\u636E\u5E93

org.quartz.jobStore.class: org.quartz.impl.jdbcjobstore.JobStoreTX

org.quartz.jobStore.driverDelegateClass:org.quartz.impl.jdbcjobstore.StdJDBCDelegate

#\u4F7F\u7528\u81EA\u5DF1\u7684\u914D\u7F6E\u6587\u4EF6

org.quartz.jobStore.useProperties:true

#\u6570\u636E\u5E93\u4E2Dquartz\u8868\u7684\u8868\u540D\u524D\u7F00

org.quartz.jobStore.tablePrefix:qrtz_

org.quartz.jobStore.dataSource:qzDS

#\u662F\u5426\u4F7F\u7528\u96C6\u7FA4\uFF08\u5982\u679C\u9879\u76EE\u53EA\u90E8\u7F72\u5230 \u4E00\u53F0\u670D\u52A1\u5668\uFF0C\u5C31\u4E0D\u7528\u4E86\uFF09

org.quartz.jobStore.isClustered = true

#============================================================================

# Configure Datasources

#============================================================================

#\u914D\u7F6E\u6570\u636E\u5E93\u6E90

org.quartz.dataSource.qzDS.connectionProvider.class: com.zking.quartz02.utils.DruidConnectionProvider

org.quartz.dataSource.qzDS.driver: com.mysql.cj.jdbc.Driver

#修改为自己的数据库名称、用户名和密码

org.quartz.dataSource.qzDS.URL: jdbc:mysql://localhost:3306/quartz?useUnicode=true&characterEncoding=utf8&serverTimezone=GMT%2B8&useSSL=false

org.quartz.dataSource.qzDS.user: root

org.quartz.dataSource.qzDS.password: 123

org.quartz.dataSource.qzDS.maxConnection: 10

在数据库中创建quartz相关的表   进入quartz的官网http://quartz-scheduler.org/,点击Downloads,   -后在目录\docs\dbTables下有常用数据库创建quartz表的脚本,例如:“tables_mysql.sql”

五、自定义MyJobFactory,解决spring不能在quartz中注入bean的问题

package com.zking.quartz02.quartz;

import org.quartz.spi.TriggerFiredBundle;

import org.springframework.beans.factory.annotation.Autowired;

import org.springframework.beans.factory.config.AutowireCapableBeanFactory;

import org.springframework.scheduling.quartz.AdaptableJobFactory;

import org.springframework.stereotype.Component;

//解决spring不能在quartz中注入bean的问题

@Component

public class MyJobFactory extends AdaptableJobFactory {

@Autowired

private AutowireCapableBeanFactory autowireCapableBeanFactory;

@Override

protected Object createJobInstance(TriggerFiredBundle bundle) throws Exception {

Object jobInstance = super.createJobInstance(bundle);

autowireCapableBeanFactory.autowireBean(jobInstance);

return jobInstance;

}

}

六、创建调度器schedule

package com.zking.quartz02.quartz;

//quartz配置类将调度器交给spring管理

import org.quartz.Scheduler;

import org.quartz.SchedulerFactory;

import org.springframework.beans.factory.annotation.Autowired;

import org.springframework.beans.factory.config.PropertiesFactoryBean;

import org.springframework.context.annotation.Bean;

import org.springframework.context.annotation.Configuration;

import org.springframework.core.io.ClassPathResource;

import org.springframework.scheduling.annotation.Scheduled;

import org.springframework.scheduling.quartz.SchedulerFactoryBean;

import java.io.IOException;

import java.util.Properties;

@Configuration

public class QuartzConfiguration {

@Autowired

private MyJobFactory myJobFactory;

@Bean

public Scheduler scheduler(){

return this.getSchedulerFactoryBean().getScheduler();

}

//读取自定义配置文件,获取调度器工厂

@Bean

public SchedulerFactoryBean getSchedulerFactoryBean(){

//1.创建SchedulerFactoryBean sc=new SchedulerFactoryBean

SchedulerFactoryBean sc=new SchedulerFactoryBean();

//2.加载自定义的quartz.properties

sc.setQuartzProperties(this.getProperties());

//3.设置自定义的MyJobFactory

sc.setJobFactory(myJobFactory);

return sc;

}

//读取配置文件

@Bean

public Properties getProperties(){

try {

PropertiesFactoryBean propertiesFactoryBean =

new PropertiesFactoryBean();

//设置自定义配置文件位置

propertiesFactoryBean.setLocation(new ClassPathResource("/quartz.properties"));

//读取配置文件

propertiesFactoryBean.afterPropertiesSet();

return propertiesFactoryBean.getObject();

} catch (IOException e) {

e.printStackTrace();

throw new RuntimeException(e);

}

}

}

七、 创建自定义任务

首先我们需要自己创建一张表t_schedule_trigger,用来存放trigger的信息,然后从数据库读取这些信息来随时更新定时任务   注意:job_name存放的任务类的全路径,在quartz中通过jobName和jobGroup来确定trigger的唯一性,所以这两列为联合唯一索引

t_schedule_trigger和t_schedule_trigger_param表生成的sql代码如下(去执行一下sql语句即可)

-- 注意:job_name存放的任务类的全路径,在quartz中通过jobName和jobGroup来确定trigger的唯一性,所以这两列为联合唯一索引

create table t_schedule_trigger

(

id int primary key auto_increment, -- ID

cron varchar(200) not null, -- 时间表达式

status char(1) not null, -- 使用状态 0:禁用 1:启用

job_name varchar(200) not null, -- 任务名称

job_group varchar(200) not null, -- 任务分组

unique index(job_name,job_group)

);

-- 额外添加到任务中的参数

create table t_schedule_trigger_param

(

param_id int primary key auto_increment, -- ID

name varchar(200) not null, -- 参数名

value varchar(512), -- 参数值

schedule_trigger_id int not null, -- 外键:引用t_schedule_trigger(id)

foreign key(schedule_trigger_id) references t_schedule_trigger(id)

);

注1:t_schedule_trigger的子表t_schedule_trigger_param还可以用来传递额外添加到任务中的参数

注2:实现org.quartz.Job或org.springframework.scheduling.quartz.QuartzJobBean创建任务,可通过JobExecutionContext传参

八、 更新quartz中的任务

首先我们将t_schedule_trigger和t_schedule_trigger_param通过generatorConfig.xml自动生成实体类,XXmapper.java,XXmapper.xml.

"http://mybatis.org/dtd/mybatis-generator-config_1_0.dtd" >

connectionURL="jdbc:mysql://localhost:3306/quartz?useUnicode=true&characterEncoding=UTF-8" userId="root" password="123"/>

targetProject="src/main/java">

targetProject="src/main/resources">

targetProject="src/main/java" type="XMLMAPPER">

enableCountByExample="false" enableDeleteByExample="false"

enableSelectByExample="false" enableUpdateByExample="false">

connectionURL="jdbc:mysql://localhost:3306/quartz?useUnicode=true&characterEncoding=UTF-8" userId="root" password="123"/>

targetProject="src/main/java">

targetProject="src/main/java">

targetProject="src/main/resources">

targetProject="src/main/resources">

targetProject="src/main/java" type="XMLMAPPER">

targetProject="src/main/java" type="XMLMAPPER">

enableCountByExample="false" enableDeleteByExample="false"

enableSelectByExample="false" enableUpdateByExample="false">

enableCountByExample="false" enableDeleteByExample="false"

enableSelectByExample="false" enableUpdateByExample="false">

记得修改数据库jdbc驱动jar包的位置为自己数据库jdbc驱动jar包的位置,jdbc连接数据库名、用户名和密码改为自己的。

注意:targetPackage改成自己的包名。

自动生成操作

命令:mybatis-generator:generate -e

注意:实体类上加一个@Data,XXmapper.java上加一个@Repository自己需要写一个查询全部的方法。

写一个IScheduleService接口,用来定时刷新任务,更新调度器中的任务

package com.zking.quartz02.service;

public interface IScheduleService {

//定时刷新任务,更新调度器中的任务

public void refresh();

}

实现IScheduleService接口

package com.zking.quartz02.service.impl;

import com.zking.quartz02.mapper.ScheduleTriggerMapper;

import com.zking.quartz02.mapper.ScheduleTriggerParamMapper;

import com.zking.quartz02.model.ScheduleTrigger;

import com.zking.quartz02.model.ScheduleTriggerParam;

import com.zking.quartz02.service.IScheduleService;

import org.quartz.*;

import org.springframework.scheduling.annotation.Scheduled;

import org.springframework.stereotype.Service;

import javax.annotation.Resource;

import java.util.List;

@Service

public class ScheduleServiceImpl implements IScheduleService {

@Resource

private ScheduleTriggerMapper scheduleTriggerMapper;

@Resource

private ScheduleTriggerParamMapper scheduleTriggerParamMapper;

@Resource

private Scheduler scheduler;

@Scheduled(cron = "*/10 * * * * ?")

@Override

public void refresh() {

try {

//1.查询数据库中所有的任务

List

scheduleTriggerMapper.listScheduleTrigger();

//2.遍历所有任务

for (ScheduleTrigger scheduleTrigger : scheduleTriggers) {

Integer id = scheduleTrigger.getId();

String cron = scheduleTrigger.getCron();

String status = scheduleTrigger.getStatus();

String jobName = scheduleTrigger.getJobName();

String jobGroup = scheduleTrigger.getJobGroup();

//设置triggerKey

TriggerKey triggerKey = TriggerKey.triggerKey(jobName, jobGroup);

//通过triggerKey获取调度器中的触发器

CronTrigger cronTrigger = (CronTrigger)scheduler.getTrigger(triggerKey);

if(null==cronTrigger){//如果为空,表示调度器中没有该任务,不存在就添加任务

if("0".equals(status)){//如果该任务状态为0,表示该任务不用添加,此次循环结束

continue;

}

//创建触发器

CronTrigger cronTrigger1 = TriggerBuilder.newTrigger()

.withIdentity(jobName, jobGroup)

.withSchedule(CronScheduleBuilder.cronSchedule(cron))

.build();

//创建工作详情实例

JobDetail jobDetail = JobBuilder.newJob((Class extends Job>) Class.forName(jobName))

.withIdentity(jobName, jobGroup)

.build();

JobDataMap jobDataMap = jobDetail.getJobDataMap();

//查询该任务中所有的参数

List scheduleTriggerParams = scheduleTriggerParamMapper.listScheduleTriggerParamById(id);

//遍历所有参数,将参数设置到jobDataMap中

for (ScheduleTriggerParam scheduleTriggerParam : scheduleTriggerParams) {

jobDataMap.put(scheduleTriggerParam.getName(),scheduleTriggerParam.getValue());

}

//添加任务,将触发器和工作详情实例添加到调度器中

scheduler.scheduleJob(jobDetail,cronTrigger1);

}else{//如果不为空,表示调度器中存在该任务

if("0".equals(status)){//如果任务状态改为禁用,移除该任务

JobKey jobKey = JobKey.jobKey(jobName, jobGroup);

scheduler.deleteJob(jobKey);//移除任务

}

//如果调度器中的触发器的表达式和数据库中的表达式不一致

//获取调度器中触发器的表达式

String cronExpression = cronTrigger.getCronExpression();

if(!cronExpression.equals(cron)){//不一致

//重新创建新的触发器

CronTrigger cronTrigger2 = TriggerBuilder.newTrigger()

.withIdentity(jobName, jobGroup)

.withSchedule(CronScheduleBuilder.cronSchedule(cron))

.build();

//更新调度器中的触发器

scheduler.rescheduleJob(triggerKey,cronTrigger2);

}

}

}

} catch (Exception e) {

e.printStackTrace();

throw new RuntimeException(e);

}

}

}

1) service层实现类使用@Scheduled注解声明一个方法用于定时刷新数据库中的调度任务; 2) 使用@Resource注解注入Scheduler,在第5点中已装配到Spring上下文;

3) 在启动类上加入@MapperScan(指定要变成实现类的接口所在的包路径,比如我的就是com.zking.quartz02.mapper),然后包下面的所有接口在编译之后都会生成相应的实现类; 4) 在启动类上加入@EnableScheduling启动Spring自带定时器任务;

小结:

要搞清楚一个问题:从数据库读取任务信息动态生成定时任务,和把quartz持久化到数据库是没有关系的。   前者是我们自己定义的业务表,而后者是quartz使用自己的表来存储信息。持久化到数据库后,   就算服务器重启或是多个quartz节点也没关系,因为他们共享数据库中的任务信息。

scheduleTriggerMapper.listScheduleTrigger();

//2.遍历所有任务

for (ScheduleTrigger scheduleTrigger : scheduleTriggers) {

Integer id = scheduleTrigger.getId();

String cron = scheduleTrigger.getCron();

String status = scheduleTrigger.getStatus();

String jobName = scheduleTrigger.getJobName();

String jobGroup = scheduleTrigger.getJobGroup();

//设置triggerKey

TriggerKey triggerKey = TriggerKey.triggerKey(jobName, jobGroup);

//通过triggerKey获取调度器中的触发器

CronTrigger cronTrigger = (CronTrigger)scheduler.getTrigger(triggerKey);

if(null==cronTrigger){//如果为空,表示调度器中没有该任务,不存在就添加任务

if("0".equals(status)){//如果该任务状态为0,表示该任务不用添加,此次循环结束

continue;

}

//创建触发器

CronTrigger cronTrigger1 = TriggerBuilder.newTrigger()

.withIdentity(jobName, jobGroup)

.withSchedule(CronScheduleBuilder.cronSchedule(cron))

.build();

//创建工作详情实例

JobDetail jobDetail = JobBuilder.newJob((Class extends Job>) Class.forName(jobName))

.withIdentity(jobName, jobGroup)

.build();

JobDataMap jobDataMap = jobDetail.getJobDataMap();

//查询该任务中所有的参数

List scheduleTriggerParams = scheduleTriggerParamMapper.listScheduleTriggerParamById(id);

//遍历所有参数,将参数设置到jobDataMap中

for (ScheduleTriggerParam scheduleTriggerParam : scheduleTriggerParams) {

jobDataMap.put(scheduleTriggerParam.getName(),scheduleTriggerParam.getValue());

}

//添加任务,将触发器和工作详情实例添加到调度器中

scheduler.scheduleJob(jobDetail,cronTrigger1);

}else{//如果不为空,表示调度器中存在该任务

if("0".equals(status)){//如果任务状态改为禁用,移除该任务

JobKey jobKey = JobKey.jobKey(jobName, jobGroup);

scheduler.deleteJob(jobKey);//移除任务

}

//如果调度器中的触发器的表达式和数据库中的表达式不一致

//获取调度器中触发器的表达式

String cronExpression = cronTrigger.getCronExpression();

if(!cronExpression.equals(cron)){//不一致

//重新创建新的触发器

CronTrigger cronTrigger2 = TriggerBuilder.newTrigger()

.withIdentity(jobName, jobGroup)

.withSchedule(CronScheduleBuilder.cronSchedule(cron))

.build();

//更新调度器中的触发器

scheduler.rescheduleJob(triggerKey,cronTrigger2);

}

}

}

} catch (Exception e) {

e.printStackTrace();

throw new RuntimeException(e);

}

}

}

1) service层实现类使用@Scheduled注解声明一个方法用于定时刷新数据库中的调度任务; 2) 使用@Resource注解注入Scheduler,在第5点中已装配到Spring上下文;

3) 在启动类上加入@MapperScan(指定要变成实现类的接口所在的包路径,比如我的就是com.zking.quartz02.mapper),然后包下面的所有接口在编译之后都会生成相应的实现类; 4) 在启动类上加入@EnableScheduling启动Spring自带定时器任务;

小结:

要搞清楚一个问题:从数据库读取任务信息动态生成定时任务,和把quartz持久化到数据库是没有关系的。   前者是我们自己定义的业务表,而后者是quartz使用自己的表来存储信息。持久化到数据库后,   就算服务器重启或是多个quartz节点也没关系,因为他们共享数据库中的任务信息。

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