SpringBoot+Quartz+数据库存储
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Spring整合Quartz
a、quartz调度框架是有内置表的
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”
table_mysql.sql
table_mysql_innodb.sql
<dependency> <groupId>org.quartz-scheduler</groupId> <artifactId>quartz-jobs</artifactId> <version>2.2.1</version> </dependency> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-quartz</artifactId> </dependency> <!--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 DBCP--> <!--Quartz 2.0 以后 C3P0（包含2.0）--> <dependency> <groupId>com.mchange</groupId> <artifactId>c3p0</artifactId> <version>0.9.5.2</version> </dependency> 更换成Druid连接池 A、 引入依赖 <dependency> <groupId>com.alibaba</groupId> <artifactId>druid-spring-boot-starter</artifactId> <version>1.1.10</version> </dependency> B、 导入DruidConnectionProvider.java C、修改quartz.properties配置 #配置数据库源 org.quartz.dataSource.qzDS.connectionProvider.class: com.lingerqi.项目名.util.DruidConnectionProvider
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
# #============================================================================ # Configure Main Scheduler Properties 调度器属性 #============================================================================ 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 #============================================================================ #存储方式使用JobStoreTX，也就是数据库 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 #数据库中quartz表的表名前缀 org.quartz.jobStore.tablePrefix:qrtz_ org.quartz.jobStore.dataSource:qzDS #是否使用集群（如果项目只部署到 一台服务器，就不用了） org.quartz.jobStore.isClustered = true #============================================================================ # Configure Datasources #============================================================================ #配置数据库源（org.quartz.dataSource.qzDS.maxConnections: c3p0配置的是有s的，druid数据源没有s） org.quartz.dataSource.qzDS.connectionProvider.class:com.lingerqi.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: root org.quartz.dataSource.qzDS.password: 123 org.quartz.dataSource.qzDS.maxConnection: 10
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。
自定义的业务表：
-- 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) );
package com.lingerqi.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);
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 idleConnectionValidationSeconds;
}
public void setIdleConnectionValidationSeconds(int idleConnectionValidationSeconds) {
this.idleConnectionValidationSeconds = idleConnectionValidationSeconds;
}
public DruidDataSource getDatasource() {
return datasource;
}
public void setDatasource(DruidDataSource datasource) {
this.datasource = datasource;
}
}
QuartzConfiguration.java（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）
package com.lingerqi.quartz02.config;
import com.lingerqi.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 {
@Autowired
private MyJobFactory myJobFactory;
//创建调度器工厂
@Bean
public SchedulerFactoryBean schedulerFactoryBean(){
//1.创建SchedulerFactoryBean
//2.加载自定义的quartz.properties配置文件
//3.设置MyJobFactory
SchedulerFactoryBean factoryBean=new SchedulerFactoryBean();
try {
factoryBean.setQuartzProperties(quartzProperties());
factoryBean.setJobFactory(myJobFactory);
return factoryBean;
} catch (IOException e) {
throw new RuntimeException(e);
}
}
@Bean
public 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;
创建springboot项目
pom依赖
<dependency>
<groupId>org.quartz-scheduler</groupId>
<artifactId>quartz-jobs</artifactId>
<version>2.2.1</version>
</dependency>
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>druid-spring-boot-starter</artifactId>
<version>1.1.10</version>
</dependency>
<resources>
<!--解决mybatis-generator-maven-plugin运行时没有将XxxMapper.xml文件放入target文件夹的问题-->
<resource>
<directory>src/main/java</directory>
<includes>
<include>**/*.xml</include>
</includes>
</resource>
<!--解决mybatis-generator-maven-plugin运行时没有将jdbc.properites文件放入target文件夹的问题-->
<resource>
<directory>src/main/resources</directory>
<includes>
<include>*.properties</include>
<include>*.xml</include>
<include>*.yml</include>
</includes>
</resource>
</resources>
<plugin>
<groupId>org.mybatis.generator</groupId>
<artifactId>mybatis-generator-maven-plugin</artifactId>
<version>1.3.2</version>
<dependencies>
<!--使用Mybatis-generator插件不能使用太高版本的mysql驱动 -->
<dependency>
<groupId>mysql</groupId>
<artifactId>mysql-connector-java</artifactId>
<version>${mysql.version}</version>
</dependency>
</dependencies>
<configuration>
<overwrite>true</overwrite>
</configuration>
</plugin>
配置application.yml
server:
servlet:
context-path: /
port: 80
spring:
datasource:
#1.JDBC
type: com.alibaba.druid.pool.DruidDataSource
driver-class-name: com.mysql.jdbc.Driver
url: jdbc:mysql://localhost:3306/mybatis_ssm?useUnicode=true&characterEncoding=utf8
username: root
password: 123
druid:
#2.\\u8FDE\\u63A5\\u6C60\\u914D\\u7F6E
#\\u521D\\u59CB\\u5316\\u8FDE\\u63A5\\u6C60\\u7684\\u8FDE\\u63A5\\u6570\\u91CF \\u5927\\u5C0F\\uFF0C\\u6700\\u5C0F\\uFF0C\\u6700\\u5927
initial-size: 5
min-idle: 5
max-active: 20
#\\u914D\\u7F6E\\u83B7\\u53D6\\u8FDE\\u63A5\\u7B49\\u5F85\\u8D85\\u65F6\\u7684\\u65F6\\u95F4
max-wait: 60000
#\\u914D\\u7F6E\\u95F4\\u9694\\u591A\\u4E45\\u624D\\u8FDB\\u884C\\u4E00\\u6B21\\u68C0\\u6D4B\\uFF0C\\u68C0\\u6D4B\\u9700\\u8981\\u5173\\u95ED\\u7684\\u7A7A\\u95F2\\u8FDE\\u63A5\\uFF0C\\u5355\\u4F4D\\u662F\\u6BEB\\u79D2
time-between-eviction-runs-millis: 60000
# \\u914D\\u7F6E\\u4E00\\u4E2A\\u8FDE\\u63A5\\u5728\\u6C60\\u4E2D\\u6700\\u5C0F\\u751F\\u5B58\\u7684\\u65F6\\u95F4\\uFF0C\\u5355\\u4F4D\\u662F\\u6BEB\\u79D2
min-evictable-idle-time-millis: 30000
validation-query: SELECT 1 FROM DUAL
test-while-idle: true
test-on-borrow: true
test-on-return: false
# \\u662F\\u5426\\u7F13\\u5B58preparedStatement\\uFF0C\\u4E5F\\u5C31\\u662FPSCache \\u5B98\\u65B9\\u5EFA\\u8BAEMySQL\\u4E0B\\u5EFA\\u8BAE\\u5173\\u95ED \\u4E2A\\u4EBA\\u5EFA\\u8BAE\\u5982\\u679C\\u60F3\\u7528SQL\\u9632\\u706B\\u5899 \\u5EFA\\u8BAE\\u6253\\u5F00
pool-prepared-statements: true
max-pool-prepared-statement-per-connection-size: 20
# \\u914D\\u7F6E\\u76D1\\u63A7\\u7EDF\\u8BA1\\u62E6\\u622A\\u7684filters\\uFF0C\\u53BB\\u6389\\u540E\\u76D1\\u63A7\\u754C\\u9762sql\\u65E0\\u6CD5\\u7EDF\\u8BA1\\uFF0C\'wall\'\\u7528\\u4E8E\\u9632\\u706B\\u5899
filter:
stat:
merge-sql: true
slow-sql-millis: 5000
#3.\\u57FA\\u7840\\u76D1\\u63A7\\u914D\\u7F6E
web-stat-filter:
enabled: true
url-pattern: /*
#\\u8BBE\\u7F6E\\u4E0D\\u7EDF\\u8BA1\\u54EA\\u4E9BURL
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
#\\u8BBE\\u7F6E\\u76D1\\u63A7\\u9875\\u9762\\u7684\\u767B\\u5F55\\u540D\\u548C\\u5BC6\\u7801
login-username: admin
login-password: admin
allow: 127.0.0.1
#deny: 192.168.1.100
#\\u663E\\u793A\\u65E5\\u5FD7
logging:
level:
com.lingerqi.quartz02.mapper: debug
Quartz02Application.java前面加上以下注解：
@MapperScan("com.lingerqi.quartz02.mapper")
@EnableTransactionManagement
@EnableScheduling
@SpringBootApplication
generatorConfig.xml
<?xml version="1.0" encoding="UTF-8" ?>
<!DOCTYPE generatorConfiguration PUBLIC "-//mybatis.org//DTD MyBatis Generator Configuration 1.0//EN"
"http://mybatis.org/dtd/mybatis-generator-config_1_0.dtd" >
<generatorConfiguration>
<!-- 引入配置文件 -->
<properties resource="jdbc.properties"/>
<!--指定数据库jdbc驱动jar包的位置-->
<classPathEntry location="E:\\mvn\\mvn_repository\\mysql\\mysql-connector-java\\5.1.44\\mysql-connector-java-5.1.44.jar"/>
<!-- 一个数据库一个context -->
<context id="infoGuardian">
<!-- 注释 -->
<commentGenerator>
<property name="suppressAllComments" value="true"/><!-- 是否取消注释 -->
<property name="suppressDate" value="true"/> <!-- 是否生成注释代时间戳 -->
</commentGenerator>
<!-- jdbc连接 -->
<jdbcConnection driverClass="${jdbc.driver}"
connectionURL="${jdbc.url}" userId="${jdbc.username}" password="${jdbc.password}"/>
<!-- 类型转换 -->
<javaTypeResolver>
<!-- 是否使用bigDecimal， false可自动转化以下类型（Long, Integer, Short, etc.） -->
<property name="forceBigDecimals" value="false"/>
</javaTypeResolver>
<!-- 01 指定javaBean生成的位置 -->
<!-- targetPackage：指定生成的model生成所在的包名 -->
<!-- targetProject：指定在该项目下所在的路径 -->
<javaModelGenerator targetPackage="com.lingerqi.quartz02.entity"
targetProject="src/main/java">
<!-- 是否允许子包，即targetPackage.schemaName.tableName -->
<property name="enableSubPackages" value="false"/>
<!-- 是否对model添加构造函数 -->
<property name="constructorBased" value="true"/>
<!-- 是否针对string类型的字段在set的时候进行trim调用 -->
<property name="trimStrings" value="false"/>
<!-- 建立的Model对象是否 不可改变 即生成的Model对象不会有 setter方法，只有构造方法 -->
<property name="immutable" value="false"/>
</javaModelGenerator>
<!-- 02 指定sql映射文件生成的位置 -->
<sqlMapGenerator targetPackage="com.lingerqi.quartz02.mapper"
targetProject="src/main/java">
<!-- 是否允许子包，即targetPackage.schemaName.tableName -->
<property name="enableSubPackages" value="false"/>
</sqlMapGenerator>
<!-- 03 生成XxxMapper接口 -->
<!-- type="ANNOTATEDMAPPER",生成Java Model 和基于注解的Mapper对象 -->
<!-- type="MIXEDMAPPER",生成基于注解的Java Model 和相应的Mapper对象 -->
<!-- type="XMLMAPPER",生成SQLMap XML文件和独立的Mapper接口 -->
<javaClientGenerator targetPackage="com.lingerqi.quartz02.mapper"
targetProject="src/main/java" type="XMLMAPPER">
<!-- 是否在当前路径下新加一层schema,false路径com.oop.eksp.user.model， true:com.oop.eksp.user.model.[schemaName] -->
<property name="enableSubPackages" value="false"/>
</javaClientGenerator>
<!-- 配置表信息 -->
<!-- schema即为数据库名 -->
<!-- tableName为对应的数据库表 -->
<!-- domainObjectName是要生成的实体类 -->
<!-- enable*ByExample是否生成 example类 -->
<!--<table schema="" tableName="t_book" domainObjectName="Book"-->
<!--enableCountByExample="false" enableDeleteByExample="false"-->
<!--enableSelectByExample="false" enableUpdateByExample="false">-->
<!--<!– 忽略列，不生成bean 字段 –>-->
<!--<!– <ignoreColumn column="FRED" /> –>-->
<!--<!– 指定列的java数据类型 –>-->
<!--<!– <columnOverride column="LONG_VARCHAR_FIELD" jdbcType="VARCHAR" /> –>-->
<!--</table>-->
<!-- 配置表信息 -->
<table schema="" tableName="t_schedule_trigger" domainObjectName="ScheduleTrigger"
enableCountByExample="false" enableDeleteByExample="false"
enableSelectByExample="false" enableUpdateByExample="false">
<property name="useActualColumnNames" value="true" />
</table>
<table schema="" tableName="t_schedule_trigger_param" domainObjectName="ScheduleTriggerParam"
enableCountByExample="false" enableDeleteByExample="false"
enableSelectByExample="false" enableUpdateByExample="false">
<property name="useActualColumnNames" value="true" />
</table>
</context>
</generatorConfiguration>
ScheduleTriggerMapper.java
/**
* 查询触发器中包含的所有任务
* @return
*/
List<ScheduleTrigger> queryScheduleTriggerLst();
ScheduleTriggerParamMapper.java
/**
* 查询出当前任务类对应所需的参数
* @param triggerId
* @return
*/
List<ScheduleTriggerParam> queryScheduleParamLst(Integer triggerId);
spring自带定时任务作业类ScheduleTriggerServiceImpl.java
package com.lingerqi.quartz02.service.impl;
import com.lingerqi.quartz02.entity.ScheduleTrigger;
import com.lingerqi.quartz02.entity.ScheduleTriggerParam;
import com.lingerqi.quartz02.mapper.ScheduleTriggerMapper;
import com.lingerqi.quartz02.mapper.ScheduleTriggerParamMapper;
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 {
@Autowired
private ScheduleTriggerMapper scheduleTriggerMapper;
@Autowired
private ScheduleTriggerParamMapper scheduleTriggerParamMapper;
@Autowired
private 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(); //表达式
String jobName = scheduleTrigger.getJob_name(); //任务名称
String jobGroup = scheduleTrigger.getJob_group(); //任务分组
String status = scheduleTrigger.getStatus(); //任务状态
//JobName+JobGroup=Primary Key
//根据jobName和jobGroup生成TriggerKey
TriggerKey triggerKey =
TriggerKey.triggerKey(jobName, jobGroup);
//根据TriggerKey到Scheduler调度器中获取触发器
CronTrigger cronTrigger = (CronTrigger)
scheduler.getTrigger(triggerKey);
if(null==cronTrigger){
if(status.equals("0"))
continue;
System.out.println("创建调度器");
//创建任务详情
JobDetail jobDetail=
JobBuilder.newJob((Class<? extends Job>) Class.forName(jobName))
.withIdentity(jobName,jobGroup)
.build();
//往Job任务中传递参数
JobDataMap jobDataMap = jobDetail.getJobDataMap();
List<ScheduleTriggerParam> params =
scheduleTriggerParamMapper.queryScheduleParamLst(scheduleTrigger.getId());
for (ScheduleTriggerParam param : params) {
jobDataMap.put(param.getName(),param.getValue());
}
//创建表达式调度器
CronScheduleBuilder cronSchedule =
CronScheduleBuilder.cronSchedule(cron);
//创建Trigger
cronTrigger=TriggerBuilder.newTrigger()
.withIdentity(jobName,jobGroup)
.withSchedule(cronSchedule)
.build();
//将jobDetail和Trigger注入到scheduler调度器中
scheduler.scheduleJob(jobDetail,cronTrigger);
}else{
//System.out.println("Quartz 调度任务中已存在该任务");
if(status.equals("0")){
JobKey jobKey = JobKey.jobKey(jobName, jobGroup);
scheduler.deleteJob(jobKey);
continue;
}
//调度器中的表达式
String cronExpression =
cronTrigger.getCronExpression();
if(!cron.equals(cronExpression)){
//创建表达式调度器
CronScheduleBuilder cronSchedule =
CronScheduleBuilder.cronSchedule(cron);
//重构
cronTrigger=cronTrigger.getTriggerBuilder()
.withIdentity(triggerKey)
.withSchedule(cronSchedule)
.build();
//刷新调度器
scheduler.rescheduleJob(triggerKey,cronTrigger);
}
}
}
}
} catch (Exception e) {
e.printStackTrace();
}
}
}
读取数据库中表达式启动定时任务
数据库表t_schedule_trigger配置
MyJob.java
package com.lingerqi.quartz02.quartz;
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 MyJob implements Job {
@Override
public void execute(JobExecutionContext jobExecutionContext) throws JobExecutionException {
System.out.println("MyJob是一个空的任务计划,时间："+new Date().toLocaleString());
}
}
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
定时任务中携带参数
MyJob1
@Component
@Slf4j
public class MyJob1 implements Job {
@Autowired
private ScheduleTriggerParamService scheduleTriggerParamService;
@Override
public 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());
}
}
程序执行spring自带的定时任务，每10s执行一次查询，查询t_schedule_trigger表，调度器表中有两个调度器，都是每5s执行一次，其中一个调度器是需要携带参数的，携带的参数在t_schedule_trigger_param表中，所以一开始调度器启动的时候需要查询t_schedule_trigger_param表数据，最终打印语句如上。
更改定时任务规则
MyJob2.java
@Component
@Slf4j
public class MyJob2 implements Job{
@Override
public 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"));
}
}
程序执行spring自带的定时任务，每10s执行一次查询，查询t_schedule_trigger表，将任务3的表达式由0/3 * * * * ?改成0/20 * * * * ?，最终结果如上
@Component
@Slf4j
public class MyJob2 implements Job{
@Override
public 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"));
}
}
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