Quartz 是 Java 领域最著名的开源任务调度工具。
在上篇文章中,我们详细的介绍了 Quartz 的单体应用实践,如果只在单体环境中应用,Quartz 未必是最好的选择,例如Spring Scheduled
一样也可以实现任务调度,并且与SpringBoot
无缝集成,支持注解配置,非常简单,但是它有个缺点就是在集群环境下,会导致任务被重复调度!
而与之对应的 Quartz 提供了极为广用的特性,如任务持久化、集群部署和分布式调度任务等等,正因如此,基于 Quartz 任务调度功能在系统开发中应用极为广泛!
在集群环境下,Quartz 集群中的每个节点是一个独立的 Quartz 应用,没有负责集中管理的节点,而是通过数据库表来感知另一个应用,利用数据库锁的方式来实现集群环境下进行并发控制,每个任务当前运行的有效节点有且只有一个!
特别需要注意的是:分布式部署时需要保证各个节点的系统时间一致!
数据库表结构官网已经提供,我们可以直接访问Quartz
对应的官方网站,找到对应的版本,然后将其下载!
我选择的是quartz-2.3.0-distribution.tar.gz
,下载完成之后将其解压,在文件中搜索sql
,在里面选择适合当前环境的数据库脚本文件,然后将其初始化到数据库中即可!
例如,我使用的数据库是mysql-5.7
,因此我选择的是tables_mysql_innodb.sql
脚本,具体内容如下:
DROP TABLE IF EXISTS QRTZ_FIRED_TRIGGERS;
DROP TABLE IF EXISTS QRTZ_PAUSED_TRIGGER_GRPS;
DROP TABLE IF EXISTS QRTZ_SCHEDULER_STATE;
DROP TABLE IF EXISTS QRTZ_LOCKS;
DROP TABLE IF EXISTS QRTZ_SIMPLE_TRIGGERS;
DROP TABLE IF EXISTS QRTZ_SIMPROP_TRIGGERS;
DROP TABLE IF EXISTS QRTZ_CRON_TRIGGERS;
DROP TABLE IF EXISTS QRTZ_BLOB_TRIGGERS;
DROP TABLE IF EXISTS QRTZ_TRIGGERS;
DROP TABLE IF EXISTS QRTZ_JOB_DETAILS;
DROP TABLE IF EXISTS QRTZ_CALENDARS;
CREATE TABLE QRTZ_JOB_DETAILS(
SCHED_NAME VARCHAR(120) NOT NULL,
JOB_NAME VARCHAR(190) NOT NULL,
JOB_GROUP VARCHAR(190) NOT NULL,
DESCRIPTION VARCHAR(250) NULL,
JOB_CLASS_NAME VARCHAR(250) NOT NULL,
IS_DURABLE VARCHAR(1) NOT NULL,
IS_NONCONCURRENT VARCHAR(1) NOT NULL,
IS_UPDATE_DATA VARCHAR(1) NOT NULL,
REQUESTS_RECOVERY VARCHAR(1) NOT NULL,
JOB_DATA BLOB NULL,
PRIMARY KEY (SCHED_NAME,JOB_NAME,JOB_GROUP))
ENGINE=InnoDB;
CREATE TABLE QRTZ_TRIGGERS (
SCHED_NAME VARCHAR(120) NOT NULL,
TRIGGER_NAME VARCHAR(190) NOT NULL,
TRIGGER_GROUP VARCHAR(190) NOT NULL,
JOB_NAME VARCHAR(190) NOT NULL,
JOB_GROUP VARCHAR(190) NOT NULL,
DESCRIPTION VARCHAR(250) NULL,
NEXT_FIRE_TIME BIGINT(13) NULL,
PREV_FIRE_TIME BIGINT(13) NULL,
PRIORITY INTEGER NULL,
TRIGGER_STATE VARCHAR(16) NOT NULL,
TRIGGER_TYPE VARCHAR(8) NOT NULL,
START_TIME BIGINT(13) NOT NULL,
END_TIME BIGINT(13) NULL,
CALENDAR_NAME VARCHAR(190) NULL,
MISFIRE_INSTR SMALLINT(2) NULL,
JOB_DATA BLOB NULL,
PRIMARY KEY (SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP),
FOREIGN KEY (SCHED_NAME,JOB_NAME,JOB_GROUP)
REFERENCES QRTZ_JOB_DETAILS(SCHED_NAME,JOB_NAME,JOB_GROUP))
ENGINE=InnoDB;
CREATE TABLE QRTZ_SIMPLE_TRIGGERS (
SCHED_NAME VARCHAR(120) NOT NULL,
TRIGGER_NAME VARCHAR(190) NOT NULL,
TRIGGER_GROUP VARCHAR(190) NOT NULL,
REPEAT_COUNT BIGINT(7) NOT NULL,
REPEAT_INTERVAL BIGINT(12) NOT NULL,
TIMES_TRIGGERED BIGINT(10) NOT NULL,
PRIMARY KEY (SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP),
FOREIGN KEY (SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP)
REFERENCES QRTZ_TRIGGERS(SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP))
ENGINE=InnoDB;
CREATE TABLE QRTZ_CRON_TRIGGERS (
SCHED_NAME VARCHAR(120) NOT NULL,
TRIGGER_NAME VARCHAR(190) NOT NULL,
TRIGGER_GROUP VARCHAR(190) NOT NULL,
CRON_EXPRESSION VARCHAR(120) NOT NULL,
TIME_ZONE_ID VARCHAR(80),
PRIMARY KEY (SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP),
FOREIGN KEY (SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP)
REFERENCES QRTZ_TRIGGERS(SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP))
ENGINE=InnoDB;
CREATE TABLE QRTZ_SIMPROP_TRIGGERS
(
SCHED_NAME VARCHAR(120) NOT NULL,
TRIGGER_NAME VARCHAR(190) NOT NULL,
TRIGGER_GROUP VARCHAR(190) NOT NULL,
STR_PROP_1 VARCHAR(512) NULL,
STR_PROP_2 VARCHAR(512) NULL,
STR_PROP_3 VARCHAR(512) NULL,
INT_PROP_1 INT NULL,
INT_PROP_2 INT NULL,
LONG_PROP_1 BIGINT NULL,
LONG_PROP_2 BIGINT NULL,
DEC_PROP_1 NUMERIC(13,4) NULL,
DEC_PROP_2 NUMERIC(13,4) NULL,
BOOL_PROP_1 VARCHAR(1) NULL,
BOOL_PROP_2 VARCHAR(1) NULL,
PRIMARY KEY (SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP),
FOREIGN KEY (SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP)
REFERENCES QRTZ_TRIGGERS(SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP))
ENGINE=InnoDB;
CREATE TABLE QRTZ_BLOB_TRIGGERS (
SCHED_NAME VARCHAR(120) NOT NULL,
TRIGGER_NAME VARCHAR(190) NOT NULL,
TRIGGER_GROUP VARCHAR(190) NOT NULL,
BLOB_DATA BLOB NULL,
PRIMARY KEY (SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP),
INDEX (SCHED_NAME,TRIGGER_NAME, TRIGGER_GROUP),
FOREIGN KEY (SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP)
REFERENCES QRTZ_TRIGGERS(SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP))
ENGINE=InnoDB;
CREATE TABLE QRTZ_CALENDARS (
SCHED_NAME VARCHAR(120) NOT NULL,
CALENDAR_NAME VARCHAR(190) NOT NULL,
CALENDAR BLOB NOT NULL,
PRIMARY KEY (SCHED_NAME,CALENDAR_NAME))
ENGINE=InnoDB;
CREATE TABLE QRTZ_PAUSED_TRIGGER_GRPS (
SCHED_NAME VARCHAR(120) NOT NULL,
TRIGGER_GROUP VARCHAR(190) NOT NULL,
PRIMARY KEY (SCHED_NAME,TRIGGER_GROUP))
ENGINE=InnoDB;
CREATE TABLE QRTZ_FIRED_TRIGGERS (
SCHED_NAME VARCHAR(120) NOT NULL,
ENTRY_ID VARCHAR(95) NOT NULL,
TRIGGER_NAME VARCHAR(190) NOT NULL,
TRIGGER_GROUP VARCHAR(190) NOT NULL,
INSTANCE_NAME VARCHAR(190) NOT NULL,
FIRED_TIME BIGINT(13) NOT NULL,
SCHED_TIME BIGINT(13) NOT NULL,
PRIORITY INTEGER NOT NULL,
STATE VARCHAR(16) NOT NULL,
JOB_NAME VARCHAR(190) NULL,
JOB_GROUP VARCHAR(190) NULL,
IS_NONCONCURRENT VARCHAR(1) NULL,
REQUESTS_RECOVERY VARCHAR(1) NULL,
PRIMARY KEY (SCHED_NAME,ENTRY_ID))
ENGINE=InnoDB;
CREATE TABLE QRTZ_SCHEDULER_STATE (
SCHED_NAME VARCHAR(120) NOT NULL,
INSTANCE_NAME VARCHAR(190) NOT NULL,
LAST_CHECKIN_TIME BIGINT(13) NOT NULL,
CHECKIN_INTERVAL BIGINT(13) NOT NULL,
PRIMARY KEY (SCHED_NAME,INSTANCE_NAME))
ENGINE=InnoDB;
CREATE TABLE QRTZ_LOCKS (
SCHED_NAME VARCHAR(120) NOT NULL,
LOCK_NAME VARCHAR(40) NOT NULL,
PRIMARY KEY (SCHED_NAME,LOCK_NAME))
ENGINE=InnoDB;
CREATE INDEX IDX_QRTZ_J_REQ_RECOVERY ON QRTZ_JOB_DETAILS(SCHED_NAME,REQUESTS_RECOVERY);
CREATE INDEX IDX_QRTZ_J_GRP ON QRTZ_JOB_DETAILS(SCHED_NAME,JOB_GROUP);
CREATE INDEX IDX_QRTZ_T_J ON QRTZ_TRIGGERS(SCHED_NAME,JOB_NAME,JOB_GROUP);
CREATE INDEX IDX_QRTZ_T_JG ON QRTZ_TRIGGERS(SCHED_NAME,JOB_GROUP);
CREATE INDEX IDX_QRTZ_T_C ON QRTZ_TRIGGERS(SCHED_NAME,CALENDAR_NAME);
CREATE INDEX IDX_QRTZ_T_G ON QRTZ_TRIGGERS(SCHED_NAME,TRIGGER_GROUP);
CREATE INDEX IDX_QRTZ_T_STATE ON QRTZ_TRIGGERS(SCHED_NAME,TRIGGER_STATE);
CREATE INDEX IDX_QRTZ_T_N_STATE ON QRTZ_TRIGGERS(SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP,TRIGGER_STATE);
CREATE INDEX IDX_QRTZ_T_N_G_STATE ON QRTZ_TRIGGERS(SCHED_NAME,TRIGGER_GROUP,TRIGGER_STATE);
CREATE INDEX IDX_QRTZ_T_NEXT_FIRE_TIME ON QRTZ_TRIGGERS(SCHED_NAME,NEXT_FIRE_TIME);
CREATE INDEX IDX_QRTZ_T_NFT_ST ON QRTZ_TRIGGERS(SCHED_NAME,TRIGGER_STATE,NEXT_FIRE_TIME);
CREATE INDEX IDX_QRTZ_T_NFT_MISFIRE ON QRTZ_TRIGGERS(SCHED_NAME,MISFIRE_INSTR,NEXT_FIRE_TIME);
CREATE INDEX IDX_QRTZ_T_NFT_ST_MISFIRE ON QRTZ_TRIGGERS(SCHED_NAME,MISFIRE_INSTR,NEXT_FIRE_TIME,TRIGGER_STATE);
CREATE INDEX IDX_QRTZ_T_NFT_ST_MISFIRE_GRP ON QRTZ_TRIGGERS(SCHED_NAME,MISFIRE_INSTR,NEXT_FIRE_TIME,TRIGGER_GROUP,TRIGGER_STATE);
CREATE INDEX IDX_QRTZ_FT_TRIG_INST_NAME ON QRTZ_FIRED_TRIGGERS(SCHED_NAME,INSTANCE_NAME);
CREATE INDEX IDX_QRTZ_FT_INST_JOB_REQ_RCVRY ON QRTZ_FIRED_TRIGGERS(SCHED_NAME,INSTANCE_NAME,REQUESTS_RECOVERY);
CREATE INDEX IDX_QRTZ_FT_J_G ON QRTZ_FIRED_TRIGGERS(SCHED_NAME,JOB_NAME,JOB_GROUP);
CREATE INDEX IDX_QRTZ_FT_JG ON QRTZ_FIRED_TRIGGERS(SCHED_NAME,JOB_GROUP);
CREATE INDEX IDX_QRTZ_FT_T_G ON QRTZ_FIRED_TRIGGERS(SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP);
CREATE INDEX IDX_QRTZ_FT_TG ON QRTZ_FIRED_TRIGGERS(SCHED_NAME,TRIGGER_GROUP);
commit;
具体表描述如下:
其中,QRTZ_LOCKS 就是 Quartz 集群实现同步机制的行锁表!
org.springframework.boot
spring-boot-starter-parent
2.1.0.RELEASE
org.springframework.boot
spring-boot-starter
org.springframework.boot
spring-boot-starter-test
test
org.springframework.boot
spring-boot-starter-web
org.springframework.boot
spring-boot-devtools
true
org.springframework.boot
spring-boot-starter-data-jpa
mysql
mysql-connector-java
com.alibaba
druid-spring-boot-starter
1.1.17
org.springframework.boot
spring-boot-starter-quartz
com.alibaba
fastjson
1.2.46
spring.application.name=springboot-quartz-001
server.port=8080
#引入数据源
spring.datasource.url=jdbc:mysql://127.0.0.1:3306/test?serverTimezone=UTC&useUnicode=true&characterEncoding=utf-8&useSSL=true
spring.datasource.username=root
spring.datasource.password=123456
spring.datasource.driver-class-name=com.mysql.cj.jdbc.Driver
#调度配置
#调度器实例名称
org.quartz.scheduler.instanceName=SsmScheduler
#调度器实例编号自动生成
org.quartz.scheduler.instanceId=AUTO
#是否在Quartz执行一个job前使用UserTransaction
org.quartz.scheduler.wrapJobExecutionInUserTransaction=false
#线程池配置
#线程池的实现类
org.quartz.threadPool.class=org.quartz.simpl.SimpleThreadPool
#线程池中的线程数量
org.quartz.threadPool.threadCount=10
#线程优先级
org.quartz.threadPool.threadPriority=5
#配置是否启动自动加载数据库内的定时任务,默认true
org.quartz.threadPool.threadsInheritContextClassLoaderOfInitializingThread=true
#是否设置为守护线程,设置后任务将不会执行
#org.quartz.threadPool.makeThreadsDaemons=true
#持久化方式配置
#JobDataMaps是否都为String类型
org.quartz.jobStore.useProperties=true
#数据表的前缀,默认QRTZ_
org.quartz.jobStore.tablePrefix=QRTZ_
#最大能忍受的触发超时时间
org.quartz.jobStore.misfireThreshold=60000
#是否以集群方式运行
org.quartz.jobStore.isClustered=true
#调度实例失效的检查时间间隔,单位毫秒
org.quartz.jobStore.clusterCheckinInterval=2000
#数据保存方式为数据库持久化
org.quartz.jobStore.class=org.quartz.impl.jdbcjobstore.JobStoreTX
#数据库代理类,一般org.quartz.impl.jdbcjobstore.StdJDBCDelegate可以满足大部分数据库
org.quartz.jobStore.driverDelegateClass=org.quartz.impl.jdbcjobstore.StdJDBCDelegate
#数据库别名 随便取
org.quartz.jobStore.dataSource=qzDS
#数据库连接池,将其设置为druid
org.quartz.dataSource.qzDS.connectionProvider.class=com.example.cluster.quartz.config.DruidConnectionProvider
#数据库引擎
org.quartz.dataSource.qzDS.driver=com.mysql.cj.jdbc.Driver
#数据库连接
org.quartz.dataSource.qzDS.URL=jdbc:mysql://127.0.0.1:3306/test-quartz?serverTimezone=UTC&useUnicode=true&characterEncoding=utf-8&useSSL=true
#数据库用户
org.quartz.dataSource.qzDS.user=root
#数据库密码
org.quartz.dataSource.qzDS.password=123456
#允许最大连接
org.quartz.dataSource.qzDS.maxConnection=5
#验证查询sql,可以不设置
org.quartz.dataSource.qzDS.validationQuery=select 0 from dual
@Component
public class QuartzJobFactory extends AdaptableJobFactory {
@Autowired
private AutowireCapableBeanFactory capableBeanFactory;
@Override
protected Object createJobInstance(TriggerFiredBundle bundle) throws Exception {
//调用父类的方法
Object jobInstance = super.createJobInstance(bundle);
//进行注入
capableBeanFactory.autowireBean(jobInstance);
return jobInstance;
}
}
@Configuration
public class QuartzConfig {
@Autowired
private QuartzJobFactory jobFactory;
@Bean
public SchedulerFactoryBean schedulerFactoryBean() throws IOException {
//获取配置属性
PropertiesFactoryBean propertiesFactoryBean = new PropertiesFactoryBean();
propertiesFactoryBean.setLocation(new ClassPathResource("/quartz.properties"));
//在quartz.properties中的属性被读取并注入后再初始化对象
propertiesFactoryBean.afterPropertiesSet();
//创建SchedulerFactoryBean
SchedulerFactoryBean factory = new SchedulerFactoryBean();
factory.setQuartzProperties(propertiesFactoryBean.getObject());
factory.setJobFactory(jobFactory);//支持在JOB实例中注入其他的业务对象
factory.setApplicationContextSchedulerContextKey("applicationContextKey");
factory.setWaitForJobsToCompleteOnShutdown(true);//这样当spring关闭时,会等待所有已经启动的quartz job结束后spring才能完全shutdown。
factory.setOverwriteExistingJobs(false);//是否覆盖己存在的Job
factory.setStartupDelay(10);//QuartzScheduler 延时启动,应用启动完后 QuartzScheduler 再启动
return factory;
}
/**
* 通过SchedulerFactoryBean获取Scheduler的实例
* @return
* @throws IOException
* @throws SchedulerException
*/
@Bean(name = "scheduler")
public Scheduler scheduler() throws IOException, SchedulerException {
Scheduler scheduler = schedulerFactoryBean().getScheduler();
return scheduler;
}
}
默认 Quartz 的数据连接池是 c3p0,由于性能不太稳定,不推荐使用,因此我们将其改成driud
数据连接池,配置如下:
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。
* @return
* @throws SQLException
*/
//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;
@Override
public Connection getConnection() throws SQLException {
return datasource.getConnection();
}
@Override
public void shutdown() throws SQLException {
datasource.close();
}
@Override
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(DEFAULT_DB_MAX_CONNECTIONS);
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;
}
public String getDiscardIdleConnectionsSeconds() {
return discardIdleConnectionsSeconds;
}
public void setDiscardIdleConnectionsSeconds(String discardIdleConnectionsSeconds) {
this.discardIdleConnectionsSeconds = discardIdleConnectionsSeconds;
}
}
创建完成之后,还需要在quartz.properties
配置文件中设置一下即可!
#数据库连接池,将其设置为druid
org.quartz.dataSource.qzDS.connectionProvider.class=com.example.cluster.quartz.config.DruidConnectionProvider
如果已经配置,请忽略!
public class TfCommandJob implements Job {
private static final Logger log = LoggerFactory.getLogger(TfCommandJob.class);
@Override
public void execute(JobExecutionContext context) {
try {
System.out.println(context.getScheduler().getSchedulerInstanceId() + "--" + new SimpleDateFormat("YYYY-MM-dd HH:mm:ss").format(new Date()));
} catch (SchedulerException e) {
log.error("任务执行失败",e);
}
}
}
public interface QuartzJobService {
/**
* 添加任务可以传参数
* @param clazzName
* @param jobName
* @param groupName
* @param cronExp
* @param param
*/
void addJob(String clazzName, String jobName, String groupName, String cronExp, Map param);
/**
* 暂停任务
* @param jobName
* @param groupName
*/
void pauseJob(String jobName, String groupName);
/**
* 恢复任务
* @param jobName
* @param groupName
*/
void resumeJob(String jobName, String groupName);
/**
* 立即运行一次定时任务
* @param jobName
* @param groupName
*/
void runOnce(String jobName, String groupName);
/**
* 更新任务
* @param jobName
* @param groupName
* @param cronExp
* @param param
*/
void updateJob(String jobName, String groupName, String cronExp, Map param);
/**
* 删除任务
* @param jobName
* @param groupName
*/
void deleteJob(String jobName, String groupName);
/**
* 启动所有任务
*/
void startAllJobs();
/**
* 暂停所有任务
*/
void pauseAllJobs();
/**
* 恢复所有任务
*/
void resumeAllJobs();
/**
* 关闭所有任务
*/
void shutdownAllJobs();
}
对应的实现类QuartzJobServiceImpl
如下:
@Service
public class QuartzJobServiceImpl implements QuartzJobService {
private static final Logger log = LoggerFactory.getLogger(QuartzJobServiceImpl.class);
@Autowired
private Scheduler scheduler;
@Override
public void addJob(String clazzName, String jobName, String groupName, String cronExp, Map param) {
try {
// 启动调度器,默认初始化的时候已经启动
// scheduler.start();
//构建job信息
Class jobClass = (Class) Class.forName(clazzName);
JobDetail jobDetail = JobBuilder.newJob(jobClass).withIdentity(jobName, groupName).build();
//表达式调度构建器(即任务执行的时间)
CronScheduleBuilder scheduleBuilder = CronScheduleBuilder.cronSchedule(cronExp);
//按新的cronExpression表达式构建一个新的trigger
CronTrigger trigger = TriggerBuilder.newTrigger().withIdentity(jobName, groupName).withSchedule(scheduleBuilder).build();
//获得JobDataMap,写入数据
if (param != null) {
trigger.getJobDataMap().putAll(param);
}
scheduler.scheduleJob(jobDetail, trigger);
} catch (Exception e) {
log.error("创建任务失败", e);
}
}
@Override
public void pauseJob(String jobName, String groupName) {
try {
scheduler.pauseJob(JobKey.jobKey(jobName, groupName));
} catch (SchedulerException e) {
log.error("暂停任务失败", e);
}
}
@Override
public void resumeJob(String jobName, String groupName) {
try {
scheduler.resumeJob(JobKey.jobKey(jobName, groupName));
} catch (SchedulerException e) {
log.error("恢复任务失败", e);
}
}
@Override
public void runOnce(String jobName, String groupName) {
try {
scheduler.triggerJob(JobKey.jobKey(jobName, groupName));
} catch (SchedulerException e) {
log.error("立即运行一次定时任务失败", e);
}
}
@Override
public void updateJob(String jobName, String groupName, String cronExp, Map param) {
try {
TriggerKey triggerKey = TriggerKey.triggerKey(jobName, groupName);
CronTrigger trigger = (CronTrigger) scheduler.getTrigger(triggerKey);
if (cronExp != null) {
// 表达式调度构建器
CronScheduleBuilder scheduleBuilder = CronScheduleBuilder.cronSchedule(cronExp);
// 按新的cronExpression表达式重新构建trigger
trigger = trigger.getTriggerBuilder().withIdentity(triggerKey).withSchedule(scheduleBuilder).build();
}
//修改map
if (param != null) {
trigger.getJobDataMap().putAll(param);
}
// 按新的trigger重新设置job执行
scheduler.rescheduleJob(triggerKey, trigger);
} catch (Exception e) {
log.error("更新任务失败", e);
}
}
@Override
public void deleteJob(String jobName, String groupName) {
try {
//暂停、移除、删除
scheduler.pauseTrigger(TriggerKey.triggerKey(jobName, groupName));
scheduler.unscheduleJob(TriggerKey.triggerKey(jobName, groupName));
scheduler.deleteJob(JobKey.jobKey(jobName, groupName));
} catch (Exception e) {
log.error("删除任务失败", e);
}
}
@Override
public void startAllJobs() {
try {
scheduler.start();
} catch (Exception e) {
log.error("开启所有的任务失败", e);
}
}
@Override
public void pauseAllJobs() {
try {
scheduler.pauseAll();
} catch (Exception e) {
log.error("暂停所有任务失败", e);
}
}
@Override
public void resumeAllJobs() {
try {
scheduler.resumeAll();
} catch (Exception e) {
log.error("恢复所有任务失败", e);
}
}
@Override
public void shutdownAllJobs() {
try {
if (!scheduler.isShutdown()) {
// 需谨慎操作关闭scheduler容器
// scheduler生命周期结束,无法再 start() 启动scheduler
scheduler.shutdown(true);
}
} catch (Exception e) {
log.error("关闭所有的任务失败", e);
}
}
}
public class QuartzConfigDTO implements Serializable {
private static final long serialVersionUID = 1L;
/**
* 任务名称
*/
private String jobName;
/**
* 任务所属组
*/
private String groupName;
/**
* 任务执行类
*/
private String jobClass;
/**
* 任务调度时间表达式
*/
private String cronExpression;
/**
* 附加参数
*/
private Map param;
public String getJobName() {
return jobName;
}
public QuartzConfigDTO setJobName(String jobName) {
this.jobName = jobName;
return this;
}
public String getGroupName() {
return groupName;
}
public QuartzConfigDTO setGroupName(String groupName) {
this.groupName = groupName;
return this;
}
public String getJobClass() {
return jobClass;
}
public QuartzConfigDTO setJobClass(String jobClass) {
this.jobClass = jobClass;
return this;
}
public String getCronExpression() {
return cronExpression;
}
public QuartzConfigDTO setCronExpression(String cronExpression) {
this.cronExpression = cronExpression;
return this;
}
public Map getParam() {
return param;
}
public QuartzConfigDTO setParam(Map param) {
this.param = param;
return this;
}
}
@RestController
@RequestMapping("/test")
public class TestController {
private static final Logger log = LoggerFactory.getLogger(TestController.class);
@Autowired
private QuartzJobService quartzJobService;
/**
* 添加新任务
* @param configDTO
* @return
*/
@RequestMapping("/addJob")
public Object addJob(@RequestBody QuartzConfigDTO configDTO) {
quartzJobService.addJob(configDTO.getJobClass(), configDTO.getJobName(), configDTO.getGroupName(), configDTO.getCronExpression(), configDTO.getParam());
return HttpStatus.OK;
}
/**
* 暂停任务
* @param configDTO
* @return
*/
@RequestMapping("/pauseJob")
public Object pauseJob(@RequestBody QuartzConfigDTO configDTO) {
quartzJobService.pauseJob(configDTO.getJobName(), configDTO.getGroupName());
return HttpStatus.OK;
}
/**
* 恢复任务
* @param configDTO
* @return
*/
@RequestMapping("/resumeJob")
public Object resumeJob(@RequestBody QuartzConfigDTO configDTO) {
quartzJobService.resumeJob(configDTO.getJobName(), configDTO.getGroupName());
return HttpStatus.OK;
}
/**
* 立即运行一次定时任务
* @param configDTO
* @return
*/
@RequestMapping("/runOnce")
public Object runOnce(@RequestBody QuartzConfigDTO configDTO) {
quartzJobService.runOnce(configDTO.getJobName(), configDTO.getGroupName());
return HttpStatus.OK;
}
/**
* 更新任务
* @param configDTO
* @return
*/
@RequestMapping("/updateJob")
public Object updateJob(@RequestBody QuartzConfigDTO configDTO) {
quartzJobService.updateJob(configDTO.getJobName(), configDTO.getGroupName(), configDTO.getCronExpression(), configDTO.getParam());
return HttpStatus.OK;
}
/**
* 删除任务
* @param configDTO
* @return
*/
@RequestMapping("/deleteJob")
public Object deleteJob(@RequestBody QuartzConfigDTO configDTO) {
quartzJobService.deleteJob(configDTO.getJobName(), configDTO.getGroupName());
return HttpStatus.OK;
}
/**
* 启动所有任务
* @return
*/
@RequestMapping("/startAllJobs")
public Object startAllJobs() {
quartzJobService.startAllJobs();
return HttpStatus.OK;
}
/**
* 暂停所有任务
* @return
*/
@RequestMapping("/pauseAllJobs")
public Object pauseAllJobs() {
quartzJobService.pauseAllJobs();
return HttpStatus.OK;
}
/**
* 恢复所有任务
* @return
*/
@RequestMapping("/resumeAllJobs")
public Object resumeAllJobs() {
quartzJobService.resumeAllJobs();
return HttpStatus.OK;
}
/**
* 关闭所有任务
* @return
*/
@RequestMapping("/shutdownAllJobs")
public Object shutdownAllJobs() {
quartzJobService.shutdownAllJobs();
return HttpStatus.OK;
}
}
运行 SpringBoot 的Application
类,启动服务!
创建一个每5秒钟执行一次的定时任务
可以看到服务正常运行!
当然,如果你想在 SpringBoot 里面集成 Quartz 的监听器,操作也很简单!
@Component
public class SimpleSchedulerListener extends SchedulerListenerSupport {
@Override
public void jobScheduled(Trigger trigger) {
System.out.println("任务被部署时被执行");
}
@Override
public void jobUnscheduled(TriggerKey triggerKey) {
System.out.println("任务被卸载时被执行");
}
@Override
public void triggerFinalized(Trigger trigger) {
System.out.println("任务完成了它的使命,光荣退休时被执行");
}
@Override
public void triggerPaused(TriggerKey triggerKey) {
System.out.println(triggerKey + "(一个触发器)被暂停时被执行");
}
@Override
public void triggersPaused(String triggerGroup) {
System.out.println(triggerGroup + "所在组的全部触发器被停止时被执行");
}
@Override
public void triggerResumed(TriggerKey triggerKey) {
System.out.println(triggerKey + "(一个触发器)被恢复时被执行");
}
@Override
public void triggersResumed(String triggerGroup) {
System.out.println(triggerGroup + "所在组的全部触发器被回复时被执行");
}
@Override
public void jobAdded(JobDetail jobDetail) {
System.out.println("一个JobDetail被动态添加进来");
}
@Override
public void jobDeleted(JobKey jobKey) {
System.out.println(jobKey + "被删除时被执行");
}
@Override
public void jobPaused(JobKey jobKey) {
System.out.println(jobKey + "被暂停时被执行");
}
@Override
public void jobsPaused(String jobGroup) {
System.out.println(jobGroup + "(一组任务)被暂停时被执行");
}
@Override
public void jobResumed(JobKey jobKey) {
System.out.println(jobKey + "被恢复时被执行");
}
@Override
public void jobsResumed(String jobGroup) {
System.out.println(jobGroup + "(一组任务)被恢复时被执行");
}
@Override
public void schedulerError(String msg, SchedulerException cause) {
System.out.println("出现异常" + msg + "时被执行");
cause.printStackTrace();
}
@Override
public void schedulerInStandbyMode() {
System.out.println("scheduler被设为standBy等候模式时被执行");
}
@Override
public void schedulerStarted() {
System.out.println("scheduler启动时被执行");
}
@Override
public void schedulerStarting() {
System.out.println("scheduler正在启动时被执行");
}
@Override
public void schedulerShutdown() {
System.out.println("scheduler关闭时被执行");
}
@Override
public void schedulerShuttingdown() {
System.out.println("scheduler正在关闭时被执行");
}
@Override
public void schedulingDataCleared() {
System.out.println("scheduler中所有数据包括jobs, triggers和calendars都被清空时被执行");
}
}
@Component
public class SimpleTriggerListener extends TriggerListenerSupport {
/**
* Trigger监听器的名称
* @return
*/
@Override
public String getName() {
return "mySimpleTriggerListener";
}
/**
* Trigger被激发 它关联的job即将被运行
* @param trigger
* @param context
*/
@Override
public void triggerFired(Trigger trigger, JobExecutionContext context) {
System.out.println("myTriggerListener.triggerFired()");
}
/**
* Trigger被激发 它关联的job即将被运行, TriggerListener 给了一个选择去否决 Job 的执行,如果返回TRUE 那么任务job会被终止
* @param trigger
* @param context
* @return
*/
@Override
public boolean vetoJobExecution(Trigger trigger, JobExecutionContext context) {
System.out.println("myTriggerListener.vetoJobExecution()");
return false;
}
/**
* 当Trigger错过被激发时执行,比如当前时间有很多触发器都需要执行,但是线程池中的有效线程都在工作,
* 那么有的触发器就有可能超时,错过这一轮的触发。
* @param trigger
*/
@Override
public void triggerMisfired(Trigger trigger) {
System.out.println("myTriggerListener.triggerMisfired()");
}
/**
* 任务完成时触发
* @param trigger
* @param context
* @param triggerInstructionCode
*/
@Override
public void triggerComplete(Trigger trigger, JobExecutionContext context, Trigger.CompletedExecutionInstruction triggerInstructionCode) {
System.out.println("myTriggerListener.triggerComplete()");
}
}
@Component
public class SimpleJobListener extends JobListenerSupport {
/**
* job监听器名称
* @return
*/
@Override
public String getName() {
return "mySimpleJobListener";
}
/**
* 任务被调度前
* @param context
*/
@Override
public void jobToBeExecuted(JobExecutionContext context) {
System.out.println("simpleJobListener监听器,准备执行:"+context.getJobDetail().getKey());
}
/**
* 任务调度被拒了
* @param context
*/
@Override
public void jobExecutionVetoed(JobExecutionContext context) {
System.out.println("simpleJobListener监听器,取消执行:"+context.getJobDetail().getKey());
}
/**
* 任务被调度后
* @param context
* @param jobException
*/
@Override
public void jobWasExecuted(JobExecutionContext context, JobExecutionException jobException) {
System.out.println("simpleJobListener监听器,执行结束:"+context.getJobDetail().getKey());
}
}
Scheduler
@Autowired
private SimpleSchedulerListener simpleSchedulerListener;
@Autowired
private SimpleJobListener simpleJobListener;
@Autowired
private SimpleTriggerListener simpleTriggerListener;
@Bean(name = "scheduler")
public Scheduler scheduler() throws IOException, SchedulerException {
Scheduler scheduler = schedulerFactoryBean().getScheduler();
//全局添加监听器
//添加SchedulerListener监听器
scheduler.getListenerManager().addSchedulerListener(simpleSchedulerListener);
// 添加JobListener, 支持带条件匹配监听器
scheduler.getListenerManager().addJobListener(simpleJobListener, KeyMatcher.keyEquals(JobKey.jobKey("myJob", "myGroup")));
// 添加triggerListener,设置全局监听
scheduler.getListenerManager().addTriggerListener(simpleTriggerListener, EverythingMatcher.allTriggers());
return scheduler;
}
在上面的 Quartz 数据源配置中,我们使用了自定义的数据源,目的是和项目中的数据源实现解耦,当然有的同学不想单独建库,想和项目中数据源保持一致,配置也很简单!
quartz.properties
配置文件中,去掉org.quartz.jobStore.dataSource
配置#注释掉quartz的数据源配置
#org.quartz.jobStore.dataSource=qzDS
QuartzConfig
配置类中加入dataSource
数据源,并将其注入到quartz
中@Autowired
private DataSource dataSource;
@Bean
public SchedulerFactoryBean schedulerFactoryBean() throws IOException {
//...
SchedulerFactoryBean factory = new SchedulerFactoryBean();
factory.setQuartzProperties(propertiesFactoryBean.getObject());
//使用数据源,自定义数据源
factory.setDataSource(dataSource);
//...
return factory;
}
在实际的部署中,项目都是集群进行部署,因此为了和正式环境一致,我们再新建两个相同的项目来测试一下在集群环境下 quartz 是否可以实现分布式调度,保证任何一个定时任务只有一台机器在运行?
理论上,我们只需要将刚刚新建好的项目,重新复制一份,然后修改一下端口号就可以实现本地测试!
因为curd
服务只需要一个,因此我们不需要再编写QuartzJobService
等增、删、改服务,仅仅保持QuartzConfig
、DruidConnectionProvider
、QuartzJobFactory
、TfCommandJob
、quartz.properties
类和配置都是相同的就可以了!
quartz-001
、quartz-002
、quartz-003
,看看效果如何第一个启动的服务quartz-001
会优先加载数据库中已经配置好的定时任务,其他两个服务quartz-002
、quartz-003
都没有主动调度服务
quartz-001
,quartz-002
服务主动接收任务调度 quartz-002
,同样quartz-003
服务主动接收任务调度最终结果,和我们预期效果一致!
本文主要围绕springboot + quartz + mysql
实现持久化分布式调度进行介绍,所有的代码功能,都测试过。