c语言sscanf函数的用法是什么
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2023-02-19
Java学习教程之定时任务全家桶
Java学习教程之定时任务全家桶
定时任务应用非常广泛，java提供的现有解决方案有很多。
本次主要讲schedule、quartz、xxl-job、shedlock等相关的代码实践。
一、SpringBoot使用Schedule
核心代码:
@Component
public class ScheduleTask {
private Logger logger = LoggerFactory.getLogger(ScheduleTask.class);
@Scheduled(cron = "0/1 * * * * ? ")
public void one() {
logger.info("one:" + new Date());
}
@Scheduled(cron = "0/1 * * * * ? ")
public void two() {
logger.info("two:" + new Date());
}
@Scheduled(cron = "0/1 * * * * ? ")
public void three() {
logger.info("three:" + new Date());
}
}
运行效果如下:
除此之外还可以这样实现，核心代码:
@PropertySource(value = {
"classpath:task.properties",
}, encoding = "utf-8")
@Component("scheduleTask")
public class ScheduleTask implements SchedulingConfigurer {
@Value("${TEST_JOB_TASK_CRON}")
private String cron;
@Override
public void configureTasks(ScheduledTaskRegistrar scheduledTaskRegistrar) {
scheduledTaskRegistrar.addTriggerTask(new Runnable() {
@Override
public void run() {
System.out.println("执行任务:" + DateUtil.date());
}
}, new Trigger() {
@Override
public Date nextExecutionTime(TriggerContext triggerContext) {
return new CronTrigger(cron).nextExecutionTime(triggerContext);
}
});
}
public void setCron(String cron) {
this.cron = cron;
}
}
有朋友或许很疑惑，为什么要写这么一大堆，这个与前面的代码又有何区别呢？
区别是多线程并行。其实多线程并行也可以不用这么写，只需写一段核心配置类代码即可。
定时任务多线程配置类:
@Configuration
public class ScheduleConfig implements SchedulingConfigurer {
public voibnutgXKYqd configureTasks(ScheduledTaskRegistrar scheduledTaskRegistrar) {
scheduledTaskRegistrar.setScheduler(Executors.newScheduledThreadPool(5));
}
}
再次启动，查看效果，如下:
由此看出走不同的线程执行，不同的线程执行的好处是，如果某一个线程挂掉后，并不会阻塞导致其它定时任务无法执行。
另外如果要想并发执行，前面的配置可以不要，直接用SpringBoot提供的现成注解即可，核心代码如下:
@Component
@EnableAsync
public class ScheduleAsyncTask {
private Logger logger = LoggerFactory.getLogger(ScheduleAsyncTask.class);
@Scheduled(cron = "0/1 * * * * ? ")
@Async
public void one() {
logger.info("one Async:" + new Date());
}
@Scheduled(cron = "0/1 * * * * ? ")
@Async
public void two() {
logger.info("two Async:" + new Date());
}
@Scheduled(cron = "0/1 * * * * ? ")
@Async
public void three() {
logger.info("three Async:" + new Date());
}
}
除此外，还有基于schedule动态定时任务(所谓动态只不过是指cron表达式放在对应的数据表里)，简单示例代码:
@Configuration
public class DynamicScheduleTask implements SchedulingConfigurer {
@Autowired
@SuppressWarnings("all")
CronMapper cronMapper;
@Mapper
public interface CronMapper {
@Select("select cron from cron limit 1")
public String getCron();
}
/**
* 执行定时任务.
*/
public void configureTasks(ScheduledTaskRegistrar taskRegistrar) {
taskRegistrar.addTriggerTask(
//1.添加任务内容(Runnable)
() -> System.out.println("执行动态定时任务: " + LocalDateTime.now().toLocalTime()),
//2.设置执行周期(Trigger)
triggerContext -> {
//2.1 从数据库获取执行周期
String cron = cronMapper.getCron();
//2.2 合法性校验.
if (StringUtils.isEmpty(cron)) {
// Omitted Code ..
}
//2.3 返回执行周期(Date)
return new CronTrigger(cron).nextExecutionTime(triggerContext);
}
);
}
}
核心配置文件(application.yml):
spring:
datasource:
url: jdbc:mysql://127.0.0.1:3306/test
username: root
password: 1234
SQL脚本:
DROP DATABASE IF EXISTS `test`;
CREATE DATABASE `test`;
USE `test`;
DROP TABLE IF EXISTS `cron`;
CREATE TABLE `cron` (
`cron_id` varchar(30) NOT NULL PRIMARY KEY,
`cron` varchar(30) NOT NULL
);
INSERT INTO `cron` VALUES ('1', '0/5 * * * * ?');
运行效果如下:
二、SpringBoot使用Quartz
1.Maven依赖
2.配置文件
spring:
quartz:
#相关属性配置
properties:
org:
quartz:
scheduler:
instanceName: clusteredScheduler
instanceId: AUTO
jobStore:
class: org.quartz.impl.jdbcjobstore.JobStoreTX
driverDelegateClass: org.quartz.impl.jdbcjobstore.StdJDBCDelegate
tablePrefix: QRTZ_
isClustered: true
clusterCheckinInterval: 10000
useProperties: false
threadPool:
class: org.quartz.simpl.SimpleThreadPool
threadCount: 10
threadPriority: 5
threadsInheritContextClassLoaderOfInitializingThread: true
#数据库方式
job-store-type: jdbc
#初始化表结构
jdbc:
initialize-schema: always
datasource:
url: jdbc:mysql://127.0.0.1:3306/test
username: root
password: 1234
3.启动类
@SpringBootApplication
@EnableScheduling
public class BlogQuartzApplication {
public static void main(String[] args) {
SpringApplication.run(BlogQuartzApplication.class, args);
}
}
4.配置类
@Configuration
public class QuartzConfiguration {
// 使用jobDetail包装job
@Bean
public JobDetail myCronJobDetail() {
return JobBuilder.newJob(CouponTimeOutJob.class).withIdentity("couponTimeOutJob").storeDurably().build();
}
// 把jobDetail注册到Cron表达式的trigger上去
@Bean
public Trigger CronJobTrigger() {
CronScheduleBuilder cronScheduleBuilder = CronScheduleBuilder.cronSchedule("0/1 * * * * ?");
return TriggerBuilder.newTrigger()
.forJob(myCronJobDetail())
.withIdentity("CouponTimeOutJobTrigger")
.withSchedule(cronScheduleBuilder)
.build();
}
}
5.定时任务类
public class CouponTimeOutJob extends QuartzJobBean {
@Override
protected void executeInternal(JobExecutionContext jobExecutionContext) throws JobExecutionException {
System.out.println("定时任务执行");
}
}
6.启动成功不报错
(1)对应的数据库会生成定时任务相关的数据表
(2)控制台不断输出定时任务执行日志
三、SpringBoot使用xxl-job
之前写过一样的例子，如今简化了下。
关于xxl-job使用详情，可以参考我的这篇文章:
SpringBoot整合Xxl-Job
1.Maven依赖
2.配置类
@Configuration
public class XxlJobConfig {
private Logger logger = LoggerFactory.getLogger(XxlJobConfig.class);
@Value("${xxl.job.admin.addresses}")
private String adminAddresses;
@Value("${xxl.job.executor.appname}")
private String appName;
@Value("${xxl.job.executor.ip}")
private String ip;
@Value("${xxl.job.executor.port}")
private int port;
@Value("${xxl.job.accessToken}")
private String accessToken;
@Value("${xxl.job.executor.logpath}")
private String logPath;
@Value("${xxl.job.executor.logretentiondays}")
private int logRetentionDays;
@Bean(initMethod = "start", destroyMethod = "destroy")
public XxlJobSpringExecutor xxlJobExecutor() {
logger.info(">>>>>>>>>>> xxl-job config init.");
XxlJobSpringExecutor xxlJobSpringExecutor = new XxlJobSpringExecutor();
xxlJobSpringExecutor.setAdminAddresses(adminAddresses);
xxlJobSpringExecutor.setAppname(appName);
xxlJobSpringExecutor.setIp(ip);
xxlJobSpringExecutor.setPort(port);
xxlJobSpringExecutor.setAccessToken(accessToken);
xxlJobSpringExecutor.setLogPath(logPath);
xxlJobSpringExecutor.setLogRetentionDays(logRetentionDays);
return xxlJobSpringExecutor;
}
}
3.配置文件内容
# web port
server.port=8081
# no web
#spring.main.web-environment=false
### xxl-job admin address list, such as "http://address" or "http://address01,http://address02"
xxl.job.admin.addresses=http://127.0.0.1:8080/xxl-job-admin
### xxl-job, access token
xxl.job.accessToken=
### xxl-job executor appname
xxl.job.executor.appname=blog-job-xxl-job
### xxl-job executor registry-address: default use address to registry , otherwise use ip:port if address is null
xxl.job.executor.address=
### xxl-job executor server-info
xxl.job.executor.ip=
xxl.job.executor.port=8888
### xxl-job executor log-path
xxl.job.executor.logpath=/data/applogs/xxl-job/jobhandler
### xxl-job executor log-retention-days
xxl.job.executor.logretentiondays=30
4.定时任务类
@Component
public class XxlJobTaskExample {
@XxlJob("blogJobHandler")
public ReturnT
System.out.println("执行");
XxlJobLogger.log("XXL-JOB, Hello World.");
for (int i = 0; i < 5; i++) {
XxlJobLogger.log("beat at:" + i);
TimeUnit.SECONDS.sleep(2);
}
return ReturnT.SUCCESS;
}
}
5.执行效果
分别如下所示:
四、SpringBoot使用ShedLock
1.导入Maven依赖
2.编写配置类
@Configuration
@EnableSchedulerLock(defaultLockAtMostFor = "PT30M")
public class ShedLockConfig {
@Bean
public LockProvider lockProvider(RedisTemplate redisTemplate) {
return new RedisLockProvider(redisTemplate.getConnectionFactorybnutgXKYq());
}
}
3.编写具体的定时任务
@Component
public class TaskSchedule {
/**
* 每分钟执行一次
* [秒] [分] [小时] [日] [月] [周] [年]
*/
@SbnutgXKYqcheduled(cron = "1 * * * * ?")
@SchedulerLock(name = "synchronousSchedule")
public void SynchronousSchedule() {
System.out.println("Start run schedule to synchronous data:" + new Date());
}
}
4.编写启动类
@SpringBootApplication
@EnableScheduling
public class ShedLockRedisApplication {
public static void main(String[] args) {
SpringApplication.run(ShedLockRedisApplication.class);
}
}
5.配置文件
server:
tomcat:
uri-encoding: UTF-8
max-threads: 1000
min-spare-threads: 30
port: 8083
spring:
redis:
database: 0
host: localhost
port: 6379
password: # 密码（默认为空）
timeout: 6000ms # 连接超时时长（毫秒）
jedis:
pool:
max-active: 1000 # 连接池最大连接数（使用负值表示没有限制）
max-wait: -1ms # 连接池最大阻塞等待时间（使用负值表示没有限制）
max-idle: 10 # 连接池中的最大空闲连接
min-idle: 5 # 连接池中的最小空闲连接
6.测试
我之所以用shedlock是因为确保在集群环境下各微服务的定时任务只执行一个，而不是全部都运行相同的定时任务。
本次测试效果如下:
本次代码例子已放至我的github:https://github.com/developers-youcong/blog-job
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