文章目錄

• 1、Spring整合Quartz
• 讀取數據庫中表達式啟動定時任務

1、Spring整合Quartz

a、quartz調度框架是有內置表的，使用quartz就必須使用它的內置表，下載內置表在以下官網，自行下載
進入quartz的官網http://www.quartz-scheduler.org/，點擊Downloads，
下載后在目錄\docs\dbTables下有常用數據庫創建quartz表的腳本，例如：“tables_mysql.sql”，我使用的MySQL，根據自己的版本來定

因為我創建的項目是springboot項目，在創建的時候quartz的pom依賴已經導入進來，但是它還缺少另外關于quartz的jar包，

<dependency><groupId>org.quartz-scheduler</groupId><artifactId>quartz-jobs</artifactId><version>2.2.1</version></dependency> quartz默認使用的是C3P0連接池quartz需要使用C3P0連接池將數據持久化到數據庫Quartz各版本數據庫連接池技術更新情況Quartz 2.0 以前 DBCPQuartz 2.0 以后 C3P0（包含2.0）

我這里使用的Druid連接池，所以導入它的jar包

<dependency><groupId>com.alibaba</groupId><artifactId>druid-spring-boot-starter</artifact Id><version>1.1.10</version></dependency>

c、在項目中添加quartz.properties文件(這樣就不會加載自帶的properties文件)
此文件的內容主要分為：scheduler，ThreadPool，JobStore，plugin，Datasources等部分，
覆蓋properties文件的目的是覆蓋默認的數據源，更換為druid的數據配置

# #============================================================================ # Configure Main Scheduler Properties 調度器屬性 #============================================================================ 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 #============================================================================ #存儲方式使用JobStoreTX，也就是數據庫 org.quartz.jobStore.class: org.quartz.impl.jdbcjobstore.JobStoreTX org.quartz.jobStore.driverDelegateClass:org.quartz.impl.jdbcjobstore.StdJDBCDelegate #使用自己的配置文件 org.quartz.jobStore.useProperties:true #數據庫中quartz表的表名前綴 org.quartz.jobStore.tablePrefix:qrtz_ org.quartz.jobStore.dataSource:qzDS #是否使用集群（如果項目只部署到 一臺服務器，就不用了） org.quartz.jobStore.isClustered = true #============================================================================ # Configure Datasources #============================================================================ #配置數據庫源（org.quartz.dataSource.qzDS.maxConnections: c3p0配置的是有s的，druid數據源沒有s） org.quartz.dataSource.qzDS.connectionProvider.class:com.javaxl.quartz02.utils.DruidConnectionProvider org.quartz.dataSource.qzDS.driver: com.mysql.jdbc.Driver org.quartz.dataSource.qzDS.URL: jdbc:mysql://localhost:3306/mybatis_ssm?useUnicode=true&characterEncoding=utf8 org.quartz.dataSource.qzDS.user: mybatis_ssm org.quartz.dataSource.qzDS.password: xiaoli org.quartz.dataSource.qzDS.maxConnection: 10

d、自定義MyJobFactory，解決spring不能在quartz中注入bean的問題
e、創建調度器schedule，交給spring進行管理
f、創建自定義任務
g、更新quartz中的任務
h、自定義任務表與quartz內置表的區分

要搞清楚一個問題：從數據庫讀取任務信息動態生成定時任務，和把quartz持久化到數據庫是沒有關系的。前者是我們自己定義的業務表，而后者是quartz使用自己的表來存儲信息。持久化到數據庫后，就算服務器重啟或是多個quartz節點也沒關系，因為他們共享數據庫中的任務信息。

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 {//這個對象Spring會幫我們自動注入進來@Autowiredprivate AutowireCapableBeanFactory autowireCapableBeanFactory;//重寫創建Job任務的實例方法@Overrideprotected Object createJobInstance(TriggerFiredBundle bundle) throws Exception {Object jobInstance = super.createJobInstance(bundle);//通過以下方式，解決Job任務無法使用Spring中的Bean問題autowireCapableBeanFactory.autowireBean(jobInstance);return super.createJobInstance(bundle);} }

使用Druid它的數據源

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連接池的Quartz擴展類]** @ProjectName: []* @Author: [xuguang]* @CreateDate: [2015/11/10 17:58]* @Update: [說明本次修改內容] BY[xuguang][2015/11/10]* @Version: [v1.0]*/ public class DruidConnectionProvider implements ConnectionProvider {/** ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~** 常量配置，與quartz.properties文件的key保持一致(去掉前綴)，同時提供set方法，Quartz框架自動注入值。** ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~*///JDBC驅動public String driver;//JDBC連接串public String URL;//數據庫用戶名public String user;//數據庫用戶密碼public String password;//數據庫最大連接數public int maxConnection;//數據庫SQL查詢每次連接返回執行到連接池，以確保它仍然是有效的。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連接池private DruidDataSource datasource;/** ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~** 接口實現** ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~*/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;} }

建立配置類 QuartzConfiguration（quartz調度框架與spring框架整合的配置類，主要是要將org.quartz.Scheduler交給spring進行管理）
1、將調度器交給spring進行管理，調度器就是對quartz.properties進行建模讀取 ，生產的調度工廠，然后調度工廠生產出來的調度器

package com.tzp.quartz02.config;import com.tzp.quartz02.utils.MyJobFactory; import org.quartz.Scheduler; 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.quartz.SchedulerFactoryBean;import java.io.IOException; import java.util.Properties;@Configuration public class QuartzConfiguration {@Autowiredprivate MyJobFactory myJobFactory;//創建調度器工廠@Beanpublic SchedulerFactoryBean schedulerFactoryBean(){//1.創建SchedulerFactoryBean//2.加載自定義的quartz.properties配置文件//3.設置MyJobFactorySchedulerFactoryBean factoryBean=new SchedulerFactoryBean();try {factoryBean.setQuartzProperties(quartzProperties());factoryBean.setJobFactory(myJobFactory);return factoryBean;} catch (IOException e) {throw new RuntimeException(e);}}@Beanpublic Properties quartzProperties() throws IOException {PropertiesFactoryBean propertiesFactoryBean=new PropertiesFactoryBean();propertiesFactoryBean.setLocation(new ClassPathResource("/quartz.properties"));propertiesFactoryBean.afterPropertiesSet();return propertiesFactoryBean.getObject();}@Bean(name="scheduler")public Scheduler scheduler(){return schedulerFactoryBean().getScheduler();} }

案例中需要觀察表數據變化的表

– 自定義的業務表 SELECT * FROM t_schedule_trigger; SELECT * FROM t_schedule_trigger_param;

– quartz調度框架自帶的表 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=-1

application.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.連接池配置#初始化連接池的連接數量 大小，最小，最大initial-size: 5min-idle: 5max-active: 20#配置獲取連接等待超時的時間max-wait: 60000#配置間隔多久才進行一次檢測，檢測需要關閉的空閑連接，單位是毫秒time-between-eviction-runs-millis: 60000# 配置一個連接在池中最小生存的時間，單位是毫秒min-evictable-idle-time-millis: 30000validation-query: SELECT 1 FROM DUALtest-while-idle: truetest-on-borrow: truetest-on-return: false# 是否緩存preparedStatement，也就是PSCache 官方建議MySQL下建議關閉 個人建議如果想用SQL防火墻 建議打開pool-prepared-statements: truemax-pool-prepared-statement-per-connection-size: 20# 配置監控統計攔截的filters，去掉后監控界面sql無法統計，'wall'用于防火墻filter:stat:merge-sql: trueslow-sql-millis: 5000#3.基礎監控配置web-stat-filter:enabled: trueurl-pattern: /*#設置不統計哪些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#設置監控頁面的登錄名和密碼login-username: adminlogin-password: adminallow: 127.0.0.1#deny: 192.168.1.100#顯示日志 logging:level: com.tzp.quartz02.mapper: debug

給啟動類添加注解

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);}}

讀取數據庫中表達式啟動定時任務

（每5s執行）
另外就是還需要自己創建兩個表，一是調度表（觸發器），二是調度表的參數表
調度表里就是所有的定時任務，參數表呢就是如果定時任務所要傳遞的參數
需要請自行提取
鏈接：https://pan.baidu.com/s/1fbF1jmZVHqZsjhTO7jiCRA
提取碼：83j2

然后用mybatis逆向生成這兩張表的實體類和mapper

ScheduleTriggerMapper
這個方法是查詢出所有定時任務

/*** 查詢觸發器中包含的所有任務* @return*/List<ScheduleTrigger> queryScheduleTriggerLst();

ScheduleTriggerParamMapper
查詢出當前任務類所需的參數

/*** 查詢出當前任務類對應所需的參數* @param triggerId* @return*/List<ScheduleTriggerParam> queryScheduleParamLst(Integer triggerId);

這是我的3個job類

數據庫表t_schedule_trigger配置

MyJob1

package com.tzp.quartz02.quaertz;import lombok.extern.slf4j.Slf4j; import org.quartz.Job; import org.quartz.JobExecutionContext; import org.quartz.JobExecutionException; import org.springframework.stereotype.Component;import java.util.Date;@Component @Slf4j public class MyJob1 implements Job {@Overridepublic void execute(JobExecutionContext jobExecutionContext) throws JobExecutionException {System.out.println("MyJob是一個空的任務計劃,時間："+new Date().toLocaleString());} }

Spring自帶定時任務每10s執行一次，查詢自定義觸發器表，獲取到具體的作業類及任務表達式，quartz的任務為每5s執行一次，所以打印如上

更改定時任務狀態
更改數據庫調度器表t_schedule_trigger的state狀態

當禁用該觸發器時，那么程序只會執行spring自帶的定時任務，每10s執行一次查詢，所以打印語句如上。

定時任務中攜帶參數
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()+"-->攜帶參數個數:"+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()+"-->MyJob2參數傳遞name="+jobDataMap.get("name")+",score="+jobDataMap.get("score"));} }

這個類負責控制我們創建的兩張中間表和Quartz的內置表中的業務邏輯,比如當我們中間表的狀態為0時，我們定時任務就需要停止，那么就需要把內置表中的相關數據刪除定時任務才會停止
ScheduleTriggerServiceImpl

package com.tzp.quartz02.service.impl;import com.tzp.quartz02.mapper.ScheduleTriggerMapper; import com.tzp.quartz02.mapper.ScheduleTriggerParamMapper; import com.tzp.quartz02.model.ScheduleTrigger; import com.tzp.quartz02.model.ScheduleTriggerParam; import com.tzp.quartz02.service.ScheduleTriggerService; import org.quartz.*; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.scheduling.annotation.Scheduled; import org.springframework.stereotype.Service;import java.util.List;@Service public class ScheduleTriggerServiceImpl implements ScheduleTriggerService {@Autowiredprivate ScheduleTriggerMapper scheduleTriggerMapper;@Autowiredprivate ScheduleTriggerParamMapper scheduleTriggerParamMapper;@Autowiredprivate Scheduler scheduler;@Scheduled(cron = "0/10 * * * * ?")public void refreshScheduler(){try {List<ScheduleTrigger> scheduleTriggers =scheduleTriggerMapper.queryScheduleTriggerLst();if(null!=scheduleTriggers){for (ScheduleTrigger scheduleTrigger : scheduleTriggers) {String cron = scheduleTrigger.getCron(); //表達式String jobName = scheduleTrigger.getJob_name(); //任務名稱String jobGroup = scheduleTrigger.getJob_group(); //任務分組String status = scheduleTrigger.getStatus(); //任務狀態//JobName+JobGroup=Primary Key//根據jobName和jobGroup生成TriggerKeyTriggerKey triggerKey =TriggerKey.triggerKey(jobName, jobGroup);//根據TriggerKey到Scheduler調度器中獲取觸發器CronTrigger cronTrigger = (CronTrigger)scheduler.getTrigger(triggerKey);if(null==cronTrigger){if(status.equals("0"))continue;System.out.println("創建調度器");//創建任務詳情JobDetail jobDetail=JobBuilder.newJob((Class<? extends Job>) Class.forName(jobName)).withIdentity(jobName,jobGroup).build();//往Job任務中傳遞參數JobDataMap jobDataMap = jobDetail.getJobDataMap();List<ScheduleTriggerParam> params =scheduleTriggerParamMapper.queryScheduleParamLst(scheduleTrigger.getId());for (ScheduleTriggerParam param : params) {jobDataMap.put(param.getName(),param.getValue());}//創建表達式調度器CronScheduleBuilder cronSchedule =CronScheduleBuilder.cronSchedule(cron);//創建TriggercronTrigger=TriggerBuilder.newTrigger().withIdentity(jobName,jobGroup).withSchedule(cronSchedule).build();//將jobDetail和Trigger注入到scheduler調度器中scheduler.scheduleJob(jobDetail,cronTrigger);}else{//System.out.println("Quartz 調度任務中已存在該任務");if(status.equals("0")){JobKey jobKey = JobKey.jobKey(jobName, jobGroup);scheduler.deleteJob(jobKey);continue;}//調度器中的表達式String cronExpression =cronTrigger.getCronExpression();if(!cron.equals(cronExpression)){//創建表達式調度器CronScheduleBuilder cronSchedule =CronScheduleBuilder.cronSchedule(cron);//重構cronTrigger=cronTrigger.getTriggerBuilder().withIdentity(triggerKey).withSchedule(cronSchedule).build();//刷新調度器scheduler.rescheduleJob(triggerKey,cronTrigger);}}}}} catch (Exception e) {e.printStackTrace();}}@Overridepublic int deleteByPrimaryKey(Integer id) {return scheduleTriggerMapper.deleteByPrimaryKey(id);}@Overridepublic int insert(ScheduleTrigger record) {return scheduleTriggerMapper.insert(record);}@Overridepublic int insertSelective(ScheduleTrigger record) {return scheduleTriggerMapper.insertSelective(record);}@Overridepublic ScheduleTrigger selectByPrimaryKey(Integer id) {return scheduleTriggerMapper.selectByPrimaryKey(id);}@Overridepublic int updateByPrimaryKeySelective(ScheduleTrigger record) {return scheduleTriggerMapper.updateByPrimaryKeySelective(record);}@Overridepublic int updateByPrimaryKey(ScheduleTrigger record) {return scheduleTriggerMapper.updateByPrimaryKeySelective(record);}@Overridepublic List<ScheduleTrigger> queryScheduleTriggerLst() {return scheduleTriggerMapper.queryScheduleTriggerLst();} }

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;}}

前端頁面 list.html

<!DOCTYPE html> <html xmlns:th="http://www.thymeleaf.org"> <head><meta charset="UTF-8"><title>quartz定時管理</title> </head> <body> <h1 style="text-align: center">定時管理</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>表達式</td><td>狀態</td><td>工作類</td><td>分組</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)}">啟動</a><a th:case="false" th:href="@{/quartz/edit(id=${q.id},status=0)}">停止</a><a th:href="@{'/quartz/proSave/'+${q.id}}">編輯</a></td></tr> </table></body> </html>

edit.html

<!DOCTYPE html> <html xmlns:th="http://www.thymeleaf.org"> <head><meta charset="UTF-8"><title>編輯定時任務</title> </head> <body> <h1>編輯定時任務</h1> <form th:action="@{/quartz/edit}" method="post"><input type="hidden" name="id" th:value="${schedule.id}" />任務表達式： <input width="300px" type="text" name="cron" th:value="${schedule.cron}" /></br>job工作類： <input width="300px" type="text" name="job_name" th:value="${schedule.job_name}" /></br>job分組：<input width="300px" type="text" name="job_group" th:value="${schedule.job_group}" /></br><input type="submit" value="提交"/> </form> </body> </html>

運行durid，查看sql執行時間，在進行優化

總結

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