springboot整合quartz进行数据库存储
文章目录
- 1、Spring整合Quartz
- 读取数据库中表达式启动定时任务
1、Spring整合Quartz
a、quartz调度框架是有内置表的,使用quartz就必须使用它的内置表,下载内置表在以下官网,自行下载
进入quartz的官网http://www.quartz-scheduler.org/,点击Downloads,
下载后在目录\docs\dbTables下有常用数据库创建quartz表的脚本,例如:“tables_mysql.sql”,我使用的MySQL,根据自己的版本来定
因为我创建的项目是springboot项目,在创建的时候quartz的pom依赖已经导入进来,但是它还缺少另外关于quartz的jar包,
<dependency><groupId>org.quartz-scheduler</groupId><artifactId>quartz-jobs</artifactId><version>2.2.1</version></dependency> quartz默认使用的是C3P0连接池quartz需要使用C3P0连接池将数据持久化到数据库Quartz各版本数据库连接池技术更新情况Quartz 2.0 以前 DBCPQuartz 2.0 以后 C3P0(包含2.0)我这里使用的Druid连接池,所以导入它的jar包
<dependency><groupId>com.alibaba</groupId><artifactId>druid-spring-boot-starter</artifact Id><version>1.1.10</version></dependency>c、在项目中添加quartz.properties文件(这样就不会加载自带的properties文件)
此文件的内容主要分为:scheduler,ThreadPool,JobStore,plugin,Datasources等部分,
覆盖properties文件的目的是覆盖默认的数据源,更换为druid的数据配置
d、自定义MyJobFactory,解决spring不能在quartz中注入bean的问题
e、创建调度器schedule,交给spring进行管理
f、创建自定义任务
g、更新quartz中的任务
h、自定义任务表与quartz内置表的区分
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。
MyJobFactory
package com.tzp.quartz02.utils;import lombok.extern.slf4j.Slf4j; 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;@Component @Slf4j public class MyJobFactory extends AdaptableJobFactory {//这个对象Spring会帮我们自动注入进来@Autowiredprivate AutowireCapableBeanFactory autowireCapableBeanFactory;//重写创建Job任务的实例方法@Overrideprotected Object createJobInstance(TriggerFiredBundle bundle) throws Exception {Object jobInstance = super.createJobInstance(bundle);//通过以下方式,解决Job任务无法使用Spring中的Bean问题autowireCapableBeanFactory.autowireBean(jobInstance);return super.createJobInstance(bundle);} }使用Druid它的数据源
DruidConnectionProvider
package com.tzp.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]** @ProjectName: []* @Author: [xuguang]* @CreateDate: [2015/11/10 17:58]* @Update: [说明本次修改内容] BY[xuguang][2015/11/10]* @Version: [v1.0]*/ 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);elsedatasource.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 idleConnectionValidationSeconds;}public void setIdleConnectionValidationSeconds(int idleConnectionValidationSeconds) {this.idleConnectionValidationSeconds = idleConnectionValidationSeconds;}public DruidDataSource getDatasource() {return datasource;}public void setDatasource(DruidDataSource datasource) {this.datasource = datasource;} }建立配置类 QuartzConfiguration(quartz调度框架与spring框架整合的配置类,主要是要将org.quartz.Scheduler交给spring进行管理)
1、将调度器交给spring进行管理,调度器就是对quartz.properties进行建模读取 ,生产的调度工厂,然后调度工厂生产出来的调度器
案例中需要观察表数据变化的表
– 自定义的业务表 SELECT * FROM t_schedule_trigger; SELECT * FROM t_schedule_trigger_param;
– quartz调度框架自带的表 SELECT * FROM qrtz_scheduler_state;
SELECT * FROM qrtz_cron_triggers; SELECT * FROM qrtz_simple_triggers SELECT * FROM
qrtz_triggers; SELECT * FROM qrtz_job_details;
jdbc.properties
jdbc.driver=com.mysql.jdbc.Driver jdbc.url=jdbc:mysql://localhost:3306/tzp?useUnicode=true&characterEncoding=UTF-8 jdbc.username=root jdbc.password=123 jdbc.maxTotal=100 jdbc.maxIdle=50 jdbc.minIdle=10 jdbc.maxWaitMillis=-1application.yml
server:servlet:context-path: /quartz spring:datasource:#1.JDBCtype: com.alibaba.druid.pool.DruidDataSourcedriver-class-name: com.mysql.jdbc.Driverurl: jdbc:mysql://localhost:3306/tzp?useUnicode=true&characterEncoding=utf8username: rootpassword: 123druid:#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: 5min-idle: 5max-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: 30000validation-query: SELECT 1 FROM DUALtest-while-idle: truetest-on-borrow: truetest-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: truemax-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: trueslow-sql-millis: 5000#3.基础监控配置web-stat-filter:enabled: trueurl-pattern: /*#设置不统计哪些URLexclusions: "*.js,*.gif,*.jpg,*.png,*.css,*.ico,/druid/*"session-stat-enable: truesession-stat-max-count: 100stat-view-servlet:enabled: trueurl-pattern: /druid/*reset-enable: true#设置监控页面的登录名和密码login-username: adminlogin-password: adminallow: 127.0.0.1#deny: 192.168.1.100#显示日志 logging:level: com.tzp.quartz02.mapper: debug给启动类添加注解
package com.tzp.quartz02;import org.mybatis.spring.annotation.MapperScan; import org.springframework.boot.SpringApplication; import org.springframework.boot.autoconfigure.SpringBootApplication; import org.springframework.scheduling.annotation.EnableScheduling; import org.springframework.transaction.annotation.EnableTransactionManagement;@MapperScan("com.tzp.quartz02.mapper") @EnableTransactionManagement @EnableScheduling @SpringBootApplication public class Quartz02Application {public static void main(String[] args) {SpringApplication.run(Quartz02Application.class, args);}}读取数据库中表达式启动定时任务
(每5s执行)
另外就是还需要自己创建两个表,一是调度表(触发器),二是调度表的参数表
调度表里就是所有的定时任务,参数表呢就是如果定时任务所要传递的参数
需要请自行提取
链接:https://pan.baidu.com/s/1fbF1jmZVHqZsjhTO7jiCRA
提取码:83j2
然后用mybatis逆向生成这两张表的实体类和mapper
ScheduleTriggerMapper
这个方法是查询出所有定时任务
ScheduleTriggerParamMapper
查询出当前任务类所需的参数
这是我的3个job类
数据库表t_schedule_trigger配置
MyJob1
Spring自带定时任务每10s执行一次,查询自定义触发器表,获取到具体的作业类及任务表达式,quartz的任务为每5s执行一次,所以打印如上
更改定时任务状态
更改数据库调度器表t_schedule_trigger的state状态
当禁用该触发器时,那么程序只会执行spring自带的定时任务,每10s执行一次查询,所以打印语句如上。
定时任务中携带参数
t_schedule_trigger
t_schedule_trigger_param
MyJob2
package com.tzp.quartz02.quaertz;import lombok.extern.slf4j.Slf4j; import org.quartz.*; import org.springframework.stereotype.Component;import java.util.Date;@Component @Slf4j public class MyJob2 implements Job {@Overridepublic void execute(JobExecutionContext jobExecutionContext) throws JobExecutionException {JobDetail jobDetail =jobExecutionContext.getJobDetail();JobDataMap jobDataMap = jobDetail.getJobDataMap();System.out.println(new Date().toLocaleString()+"-->携带参数个数:"+jobDataMap.size());} }MyJob3
package com.tzp.quartz02.quaertz;import lombok.extern.slf4j.Slf4j; import org.quartz.*; import org.springframework.stereotype.Component;import java.util.Date;@Component @Slf4j public class MyJob3 implements Job {@Overridepublic void execute(JobExecutionContext jobExecutionContext) throws JobExecutionException {JobDetail jobDetail =jobExecutionContext.getJobDetail();JobDataMap jobDataMap = jobDetail.getJobDataMap();System.out.println(new Date().toLocaleString()+"-->MyJob2参数传递name="+jobDataMap.get("name")+",score="+jobDataMap.get("score"));} }这个类负责控制我们创建的两张中间表和Quartz的内置表中的业务逻辑,比如当我们中间表的状态为0时,我们定时任务就需要停止,那么就需要把内置表中的相关数据删除定时任务才会停止
ScheduleTriggerServiceImpl
QuartzController
package com.tzp.quartz2.controller;import com.tzp.quartz2.model.ScheduleTrigger; import com.tzp.quartz2.service.ScheduleTriggerService; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.stereotype.Controller; import org.springframework.web.bind.annotation.PathVariable; import org.springframework.web.bind.annotation.RequestMapping; import org.springframework.web.servlet.ModelAndView;import java.util.List;/*** @author 心如止水* @site www.tzp.com* @create 2019-11-16 18:39*/ @Controller @RequestMapping("/quartz") public class QuartzController {@Autowiredprivate ScheduleTriggerService scheduleTriggerService;@RequestMapping("/list")public ModelAndView getAll(){ModelAndView mv = new ModelAndView();List<ScheduleTrigger> list = scheduleTriggerService.queryScheduleTriggerLst();mv.addObject("quartzList",list);mv.setViewName("index");return mv;}@RequestMapping("/edit")public String editStatus(ScheduleTrigger scheduleTrigger){int n = scheduleTriggerService.updateByPrimaryKeySelective(scheduleTrigger);return "redirect:/quartz/list";}@RequestMapping("/add")public String addStatus(ScheduleTrigger scheduleTrigger){int n = scheduleTriggerService.insert(ScheduleTrigger record);return "redirect:/quartz/list";}@RequestMapping("/proSave/{id}")public ModelAndView proSave(@PathVariable(value = "id") Integer id){ModelAndView mv=new ModelAndView();ScheduleTrigger scheduleTrigger = scheduleTriggerService.selectByPrimaryKey(id);mv.addObject("schedule",scheduleTrigger);mv.setViewName("edit");return mv;}}前端页面 list.html
<!DOCTYPE html> <html xmlns:th="http://www.thymeleaf.org"> <head><meta charset="UTF-8"><title>quartz定时管理</title> </head> <body> <h1 style="text-align: center">定时管理</h1> <div style="text-align:center"><button>增加+</button> </div> <table style="text-align: center" align="center" border="1px" width="50%"><tr><td>id</td><td>表达式</td><td>状态</td><td>工作类</td><td>分组</td><td>操作</td></tr><tr th:each="q : ${quartzList}"><td th:text="${q.id}"></td><td th:text="${q.cron}"></td><td th:text="${q.status}"></td><td th:text="${q.job_name}"></td><td th:text="${q.job_group}"></td><td th:switch ="${q.status} == 0"><a th:case="true" th:href="@{/quartz/edit(id=${q.id},status=1)}">启动</a><a th:case="false" th:href="@{/quartz/edit(id=${q.id},status=0)}">停止</a><a th:href="@{'/quartz/proSave/'+${q.id}}">编辑</a></td></tr> </table></body> </html>edit.html
<!DOCTYPE html> <html xmlns:th="http://www.thymeleaf.org"> <head><meta charset="UTF-8"><title>编辑定时任务</title> </head> <body> <h1>编辑定时任务</h1> <form th:action="@{/quartz/edit}" method="post"><input type="hidden" name="id" th:value="${schedule.id}" />任务表达式: <input width="300px" type="text" name="cron" th:value="${schedule.cron}" /></br>job工作类: <input width="300px" type="text" name="job_name" th:value="${schedule.job_name}" /></br>job分组:<input width="300px" type="text" name="job_group" th:value="${schedule.job_group}" /></br><input type="submit" value="提交"/> </form> </body> </html>运行durid,查看sql执行时间,在进行优化
总结
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