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:
public class DruidConnectionProvider implements ConnectionProvider {
//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;
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);
}
}
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;
}
}
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://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”
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.
<?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="D:\\installpath\\apache-maven-3.5.4\\jar\\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="com.mysql.jdbc.Driver"
connectionURL="jdbc:mysql://localhost:3306/quartz?useUnicode=true&characterEncoding=UTF-8" userId="root" password="123"/>
<!-- 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.zking.quartz02.model"
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="mapper"
targetProject="src/main/resources">
<!-- 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.zking.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>-->
<table schema="" tableName="t_schedule_trigger_param" domainObjectName="ScheduleTriggerParam"
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>
<table schema="" tableName="t_schedule_trigger" domainObjectName="ScheduleTrigger"
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>
</context>
</generatorConfiguration>
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<ScheduleTrigger> scheduleTriggers =
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<ScheduleTriggerParam> 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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