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
org.quartz-scheduler
quartz-jobs
2.2.1
org.springframework.boot
spring-boot-starter-quartz
com.mchange
c3p0
0.9.5.2
更换成Druid连接池
A、 引入依赖
com.alibaba
druid-spring-boot-starter
1.1.10
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
org.quartz-scheduler
quartz-jobs
2.2.1
com.alibaba
druid-spring-boot-starter
1.1.10
src/main/java
**/*.xml
src/main/resources
*.properties
*.xml
*.yml
org.mybatis.generator
mybatis-generator-maven-plugin
1.3.2
mysql
mysql-connector-java
${mysql.version}
true
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
/p>
"http://mybatis.org/dtd/mybatis-generator-config_1_0.dtd" >
connectionURL="${jdbc.url}" userId="${jdbc.username}" password="${jdbc.password}"/>
targetProject="src/main/java">
targetProject="src/main/java">
targetProject="src/main/java" type="XMLMAPPER">
enableCountByExample="false" enableDeleteByExample="false"
enableSelectByExample="false" enableUpdateByExample="false">
enableCountByExample="false" enableDeleteByExample="false"
enableSelectByExample="false" enableUpdateByExample="false">
ScheduleTriggerMapper.java
/**
* 查询触发器中包含的所有任务
* @return
*/
List queryScheduleTriggerLst();
ScheduleTriggerParamMapper.java
/**
* 查询出当前任务类对应所需的参数
* @param triggerId
* @return
*/
List 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 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 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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