XXL-JOB是一个分布式任务调度平台,其核心设计目标是开发迅速、学习简单、轻量级、易扩展。现已开放源代码并接入多家公司线上产品线,开箱即用。
本文基于Spring Boot
整合XXL-JOB
,实现简单的任务执行
。
搭建任务调度中心
这里有两种方式运行。
- 下载官方代码,运行: https://github.com/xuxueli/xxl-job
- 通过docker直接启动
这里我就通过docker直接启动了。
编写docker-compose编排文件
docker-compose-xxl-job.yml
# 参考文档: https://www.xuxueli.com/xxl-job
version: "3"
networks:
xxl:
ipam:
driver: default
config:
- subnet: "172.22.1.0/24"
services:
xxl-job-admin:
image: registry.cn-hangzhou.aliyuncs.com/zhengqing/xxl-job-admin:2.3.0 # 原镜像`xuxueli/xxl-job-admin:2.3.0`
container_name: xxl-job-admin
environment:
# TODO 根据自己的配置修改,配置项参考源码文件:/xxl-job/xxl-job-admin/src/main/resources/application.properties
PARAMS: "--spring.datasource.url=jdbc:mysql://172.22.1.22:3306/xxl_job?useUnicode=true&characterEncoding=UTF-8&autoReconnect=true&serverTimezone=Asia/Shanghai
--spring.datasource.username=root
--spring.datasource.password=root
--server.servlet.context-path=/xxl-job-admin
--spring.mail.host=smtp.qq.com
--spring.mail.port=25
--spring.mail.username=xxx@qq.com
--spring.mail.from=xxx@qq.com
--spring.mail.password=xxx
--xxl.job.accessToken="
ports:
- "9003:8080"
depends_on:
- mysql
networks:
xxl:
ipv4_address: 172.22.1.11
# mysql数据库
mysql:
image: mysql:8.0
container_name: xxl-job-mysql
restart: unless-stopped
volumes:
- "./xxl/mysql/my.cnf:/etc/mysql/my.cnf"
- "./xxl/mysql/data:/var/lib/mysql"
# - "./xxl/mysql/conf.d:/etc/mysql/conf.d"
- "./xxl/mysql/mysql-files:/var/lib/mysql-files"
environment:
TZ: Asia/Shanghai
LANG: en_US.UTF-8
MYSQL_ROOT_PASSWORD: root # 设置root用户密码
MYSQL_DATABASE: xxl_job # 初始化数据库xxl-job
ports:
- "3306:3306"
networks:
xxl:
ipv4_address: 172.22.1.22
挂载好mysql配置文件
./xxl/mysql/my.cnf
# 服务端参数配置
[mysqld]
# MySQL启动用户
user=mysql
# 创建新表时将使用的默认存储引擎
default-storage-engine=INNODB
# 设置mysql服务端默认字符集
character-set-server=utf8mb4
# 数据库字符集对应一些排序等规则,注意要和character-set-server对应
collation-server = utf8mb4_general_ci
# pid文件所在目录
pid-file = /var/lib/mysql/mysqld.pid
# 用于本地连接的socket套接字
socket = /var/lib/mysql/mysqld.sock
# 数据文件存放的目录
datadir = /var/lib/mysql
log-error = /var/lib/mysql/error.log
# MySQL绑定IP
#bind-address = 127.0.0.1
# 定义清除过期日志的时间(这里设置为7天)
expire_logs_days=7
# 设置client连接mysql时的字符集,防止乱码
init_connect='SET NAMES utf8mb4'
# 是否对sql语句大小写敏感,1表示不敏感
lower_case_table_names = 1
# 执行sql的模式,规定了sql的安全等级, 暂时屏蔽,my.cnf文件中配置报错
#sql_mode = STRICT_TRANS_TABLES,NO_AUTO_CREATE_USER,NO_ENGINE_SUBSTITUTION
# 事务隔离级别,默认为可重复读,mysql默认可重复读级别(此级别下可能参数很多间隙锁,影响性能)
transaction_isolation = READ-COMMITTED
# TIMESTAMP如果没有显示声明NOT NULL,允许NULL值
explicit_defaults_for_timestamp = true
# 它控制着mysqld进程能使用的最大文件描述(FD)符数量。
# 需要注意的是这个变量的值并不一定是你设定的值,mysqld会在系统允许的情况下尽量获取更多的FD数量
open_files_limit = 65535
# 允许最大连接数
max_connections=200
# 最大错误连接数
max_connect_errors = 600
[client]
# 设置mysql客户端默认字符集
default-character-set=utf8mb4
运行
# 运行
docker-compose -f docker-compose-xxl-job.yml -p xxl-job up -d
# 下线
docker-compose -f docker-compose-xxl-job.yml -p xxl-job down
进入mysql的xxl-job数据库,初始化库表
#
# XXL-JOB v2.3.0
# Copyright (c) 2015-present, xuxueli.
CREATE database if NOT EXISTS `xxl_job` default character set utf8mb4 collate utf8mb4_unicode_ci;
use `xxl_job`;
SET NAMES utf8mb4;
CREATE TABLE `xxl_job_info` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`job_group` int(11) NOT NULL COMMENT '执行器主键ID',
`job_desc` varchar(255) NOT NULL,
`add_time` datetime DEFAULT NULL,
`update_time` datetime DEFAULT NULL,
`author` varchar(64) DEFAULT NULL COMMENT '作者',
`alarm_email` varchar(255) DEFAULT NULL COMMENT '报警邮件',
`schedule_type` varchar(50) NOT NULL DEFAULT 'NONE' COMMENT '调度类型',
`schedule_conf` varchar(128) DEFAULT NULL COMMENT '调度配置,值含义取决于调度类型',
`misfire_strategy` varchar(50) NOT NULL DEFAULT 'DO_NOTHING' COMMENT '调度过期策略',
`executor_route_strategy` varchar(50) DEFAULT NULL COMMENT '执行器路由策略',
`executor_handler` varchar(255) DEFAULT NULL COMMENT '执行器任务handler',
`executor_param` varchar(512) DEFAULT NULL COMMENT '执行器任务参数',
`executor_block_strategy` varchar(50) DEFAULT NULL COMMENT '阻塞处理策略',
`executor_timeout` int(11) NOT NULL DEFAULT '0' COMMENT '任务执行超时时间,单位秒',
`executor_fail_retry_count` int(11) NOT NULL DEFAULT '0' COMMENT '失败重试次数',
`glue_type` varchar(50) NOT NULL COMMENT 'GLUE类型',
`glue_source` mediumtext COMMENT 'GLUE源代码',
`glue_remark` varchar(128) DEFAULT NULL COMMENT 'GLUE备注',
`glue_updatetime` datetime DEFAULT NULL COMMENT 'GLUE更新时间',
`child_jobid` varchar(255) DEFAULT NULL COMMENT '子任务ID,多个逗号分隔',
`trigger_status` tinyint(4) NOT NULL DEFAULT '0' COMMENT '调度状态:0-停止,1-运行',
`trigger_last_time` bigint(13) NOT NULL DEFAULT '0' COMMENT '上次调度时间',
`trigger_next_time` bigint(13) NOT NULL DEFAULT '0' COMMENT '下次调度时间',
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
CREATE TABLE `xxl_job_log` (
`id` bigint(20) NOT NULL AUTO_INCREMENT,
`job_group` int(11) NOT NULL COMMENT '执行器主键ID',
`job_id` int(11) NOT NULL COMMENT '任务,主键ID',
`executor_address` varchar(255) DEFAULT NULL COMMENT '执行器地址,本次执行的地址',
`executor_handler` varchar(255) DEFAULT NULL COMMENT '执行器任务handler',
`executor_param` varchar(512) DEFAULT NULL COMMENT '执行器任务参数',
`executor_sharding_param` varchar(20) DEFAULT NULL COMMENT '执行器任务分片参数,格式如 1/2',
`executor_fail_retry_count` int(11) NOT NULL DEFAULT '0' COMMENT '失败重试次数',
`trigger_time` datetime DEFAULT NULL COMMENT '调度-时间',
`trigger_code` int(11) NOT NULL COMMENT '调度-结果',
`trigger_msg` text COMMENT '调度-日志',
`handle_time` datetime DEFAULT NULL COMMENT '执行-时间',
`handle_code` int(11) NOT NULL COMMENT '执行-状态',
`handle_msg` text COMMENT '执行-日志',
`alarm_status` tinyint(4) NOT NULL DEFAULT '0' COMMENT '告警状态:0-默认、1-无需告警、2-告警成功、3-告警失败',
PRIMARY KEY (`id`),
KEY `I_trigger_time` (`trigger_time`),
KEY `I_handle_code` (`handle_code`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
CREATE TABLE `xxl_job_log_report` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`trigger_day` datetime DEFAULT NULL COMMENT '调度-时间',
`running_count` int(11) NOT NULL DEFAULT '0' COMMENT '运行中-日志数量',
`suc_count` int(11) NOT NULL DEFAULT '0' COMMENT '执行成功-日志数量',
`fail_count` int(11) NOT NULL DEFAULT '0' COMMENT '执行失败-日志数量',
`update_time` datetime DEFAULT NULL,
PRIMARY KEY (`id`),
UNIQUE KEY `i_trigger_day` (`trigger_day`) USING BTREE
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
CREATE TABLE `xxl_job_logglue` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`job_id` int(11) NOT NULL COMMENT '任务,主键ID',
`glue_type` varchar(50) DEFAULT NULL COMMENT 'GLUE类型',
`glue_source` mediumtext COMMENT 'GLUE源代码',
`glue_remark` varchar(128) NOT NULL COMMENT 'GLUE备注',
`add_time` datetime DEFAULT NULL,
`update_time` datetime DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
CREATE TABLE `xxl_job_registry` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`registry_group` varchar(50) NOT NULL,
`registry_key` varchar(255) NOT NULL,
`registry_value` varchar(255) NOT NULL,
`update_time` datetime DEFAULT NULL,
PRIMARY KEY (`id`),
KEY `i_g_k_v` (`registry_group`,`registry_key`,`registry_value`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
CREATE TABLE `xxl_job_group` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`app_name` varchar(64) NOT NULL COMMENT '执行器AppName',
`title` varchar(12) NOT NULL COMMENT '执行器名称',
`address_type` tinyint(4) NOT NULL DEFAULT '0' COMMENT '执行器地址类型:0=自动注册、1=手动录入',
`address_list` text COMMENT '执行器地址列表,多地址逗号分隔',
`update_time` datetime DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
CREATE TABLE `xxl_job_user` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`username` varchar(50) NOT NULL COMMENT '账号',
`password` varchar(50) NOT NULL COMMENT '密码',
`role` tinyint(4) NOT NULL COMMENT '角色:0-普通用户、1-管理员',
`permission` varchar(255) DEFAULT NULL COMMENT '权限:执行器ID列表,多个逗号分割',
PRIMARY KEY (`id`),
UNIQUE KEY `i_username` (`username`) USING BTREE
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
CREATE TABLE `xxl_job_lock` (
`lock_name` varchar(50) NOT NULL COMMENT '锁名称',
PRIMARY KEY (`lock_name`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
INSERT INTO `xxl_job_group`(`id`, `app_name`, `title`, `address_type`, `address_list`, `update_time`) VALUES (1, 'xxl-job-executor-sample', '示例执行器', 0, NULL, '2018-11-03 22:21:31' );
INSERT INTO `xxl_job_info`(`id`, `job_group`, `job_desc`, `add_time`, `update_time`, `author`, `alarm_email`, `schedule_type`, `schedule_conf`, `misfire_strategy`, `executor_route_strategy`, `executor_handler`, `executor_param`, `executor_block_strategy`, `executor_timeout`, `executor_fail_retry_count`, `glue_type`, `glue_source`, `glue_remark`, `glue_updatetime`, `child_jobid`) VALUES (1, 1, '测试任务1', '2018-11-03 22:21:31', '2018-11-03 22:21:31', 'XXL', '', 'CRON', '0 0 0 * * ? *', 'DO_NOTHING', 'FIRST', 'demoJobHandler', '', 'SERIAL_EXECUTION', 0, 0, 'BEAN', '', 'GLUE代码初始化', '2018-11-03 22:21:31', '');
INSERT INTO `xxl_job_user`(`id`, `username`, `password`, `role`, `permission`) VALUES (1, 'admin', 'e10adc3949ba59abbe56e057f20f883e', 1, NULL);
INSERT INTO `xxl_job_lock` ( `lock_name`) VALUES ( 'schedule_lock');
commit;
重启
# 运行
docker-compose -f docker-compose-xxl-job.yml -p xxl-job restart
访问地址:http://ip地址:9003//xxl-job-admin
默认登录账号密码:admin/123456
SpringBoot整合XXL-JOB
在任务调度中心新建执行器
pom依赖
<!-- xxl-job -->
<dependency>
<groupId>com.xuxueli</groupId>
<artifactId>xxl-job-core</artifactId>
<version>2.3.0</version>
</dependency>
服务配置
server:
port: 1314
# XXL-JOB 配置
xxl:
job:
admin:
addresses: http://192.168.56.101:9003/xxl-job-admin # 调度中心部署跟地址 [选填]:如调度中心集群部署存在多个地址则用逗号分隔。执行器将会使用该地址进行"执行器心跳注册"和"任务结果回调";为空则关闭自动注册;
accessToken: # 执行器通讯TOKEN [选填]:非空时启用;
executor:
appname: xxl-job-executor-itjing # 执行器AppName [选填]:执行器心跳注册分组依据;为空则关闭自动注册
address: # 执行器注册 [选填]:优先使用该配置作为注册地址,为空时使用内嵌服务 ”IP:PORT“ 作为注册地址。从而更灵活的支持容器类型执行器动态IP和动态映射端口问题。
ip: # 执行器IP [选填]:默认为空表示自动获取IP,多网卡时可手动设置指定IP,该IP不会绑定Host仅作为通讯实用;地址信息用于 "执行器注册" 和 "调度中心请求并触发任务";
port: 9999 # 执行器端口号 [选填]:小于等于0则自动获取;默认端口为9999,单机部署多个执行器时,注意要配置不同执行器端口;
logpath: /logs/xxl-job/job-handler # 执行器运行日志文件存储磁盘路径 [选填] :需要对该路径拥有读写权限;为空则使用默认路径;
logretentiondays: 30 # 执行器日志文件保存天数 [选填] : 过期日志自动清理, 限制值大于等于3时生效; 否则, 如-1, 关闭自动清理功能;
相关配置类
package com.itjing.xxl.job.config;
import com.xxl.job.core.executor.impl.XxlJobSpringExecutor;
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
/**
* @Description: xxl-job配置类
* @Author: lijing
* @Date: 2023-02-25 11:49
*/
@Slf4j
@Configuration
public class XxlJobConfig {
@Value("${xxl.job.admin.addresses}")
private String adminAddresses;
@Value("${xxl.job.accessToken}")
private String accessToken;
@Value("${xxl.job.executor.appname}")
private String appname;
@Value("${xxl.job.executor.address}")
private String address;
@Value("${xxl.job.executor.ip}")
private String ip;
@Value("${xxl.job.executor.port}")
private int port;
@Value("${xxl.job.executor.logpath}")
private String logPath;
@Value("${xxl.job.executor.logretentiondays}")
private int logRetentionDays;
/**
* 创建 XxlJobSpringExecutor 执行器
* @return
*/
@Bean
public XxlJobSpringExecutor xxlJobExecutor() {
log.info(">>>>>>>>>>> xxl-job config init.");
// 创建 XxlJobSpringExecutor 执行器
XxlJobSpringExecutor xxlJobSpringExecutor = new XxlJobSpringExecutor();
xxlJobSpringExecutor.setAdminAddresses(adminAddresses);
xxlJobSpringExecutor.setAppname(appname);
xxlJobSpringExecutor.setAddress(address);
xxlJobSpringExecutor.setIp(ip);
xxlJobSpringExecutor.setPort(port);
xxlJobSpringExecutor.setAccessToken(accessToken);
xxlJobSpringExecutor.setLogPath(logPath);
xxlJobSpringExecutor.setLogRetentionDays(logRetentionDays);
return xxlJobSpringExecutor;
}
/**
* 针对多网卡、容器内部署等情况,可借助 "spring-cloud-commons" 提供的 "InetUtils" 组件灵活定制注册IP;
*
* 1、引入依赖:
* <dependency>
* <groupId>org.springframework.cloud</groupId>
* <artifactId>spring-cloud-commons</artifactId>
* <version>${version}</version>
* </dependency>
*
* 2、配置文件,或者容器启动变量
* spring.cloud.inetutils.preferred-networks: 'xxx.xxx.xxx.'
*
* 3、获取IP
* String ip_ = inetUtils.findFirstNonLoopbackHostInfo().getIpAddress();
*/
}
任务开发示例(Bean模式)
开发步骤:
- 任务开发:在Spring Bean实例中,开发Job方法;
- 注解配置:为Job方法添加注解 “@XxlJob(value=“自定义jobhandler名称”, init = “JobHandler初始化方法”, destroy = “JobHandler销毁方法”)”,注解value值对应的是调度中心新建任务的JobHandler属性的值。
- 执行日志:需要通过"XxlJobHelper.log" 打印执行日志;
- 任务结果:默认任务结果为 “成功” 状态,不需要主动设置;如有诉求,比如设置任务结果为失败,可以通过"XxlJobHelper.handleFail/handleSuccess" 自主设置任务结果;
package com.itjing.xxl.job.job;
import com.xxl.job.core.context.XxlJobHelper;
import com.xxl.job.core.handler.annotation.XxlJob;
import lombok.extern.slf4j.Slf4j;
import org.springframework.stereotype.Component;
import java.io.BufferedInputStream;
import java.io.BufferedReader;
import java.io.DataOutputStream;
import java.io.InputStreamReader;
import java.net.HttpURLConnection;
import java.net.URL;
import java.util.Arrays;
import java.util.concurrent.TimeUnit;
/**
* @Description: 简单任务实例
* @Author: lijing
* @Date: 2023-02-25 11:53
*/
@Slf4j
@Component
public class SampleXxlJob {
/**
* 1、简单任务示例(Bean模式)
*/
@XxlJob(value = "demoJobHandler", init = "init", destroy = "destroy")
public void demoJobHandler() throws Exception {
XxlJobHelper.log("XXL-JOB, Hello World.");
for (int i = 0; i < 5; i++) {
XxlJobHelper.log("beat at:" + i);
TimeUnit.SECONDS.sleep(2);
}
// default success
}
/**
* 2、分片广播任务
*/
@XxlJob("shardingJobHandler")
public void shardingJobHandler() throws Exception {
// 分片参数
int shardIndex = XxlJobHelper.getShardIndex();
int shardTotal = XxlJobHelper.getShardTotal();
XxlJobHelper.log("分片参数:当前分片序号 = {}, 总分片数 = {}", shardIndex, shardTotal);
// 业务逻辑
for (int i = 0; i < shardTotal; i++) {
if (i == shardIndex) {
XxlJobHelper.log("第 {} 片, 命中分片开始处理", i);
} else {
XxlJobHelper.log("第 {} 片, 忽略", i);
}
}
}
/**
* 3、命令行任务
*/
@XxlJob("commandJobHandler")
public void commandJobHandler() throws Exception {
String command = XxlJobHelper.getJobParam();
int exitValue = -1;
BufferedReader bufferedReader = null;
try {
// command process
ProcessBuilder processBuilder = new ProcessBuilder();
processBuilder.command(command);
processBuilder.redirectErrorStream(true);
Process process = processBuilder.start();
//Process process = Runtime.getRuntime().exec(command);
BufferedInputStream bufferedInputStream = new BufferedInputStream(process.getInputStream());
bufferedReader = new BufferedReader(new InputStreamReader(bufferedInputStream));
// command log
String line;
while ((line = bufferedReader.readLine()) != null) {
XxlJobHelper.log(line);
}
// command exit
process.waitFor();
exitValue = process.exitValue();
} catch (Exception e) {
XxlJobHelper.log(e);
} finally {
if (bufferedReader != null) {
bufferedReader.close();
}
}
if (exitValue == 0) {
// default success
} else {
XxlJobHelper.handleFail("command exit value(" + exitValue + ") is failed");
}
}
/**
* 4、跨平台Http任务 参数示例: "url: http://www.baidu.com\n" + "method: get\n" + "data: content\n";
*/
@XxlJob("httpJobHandler")
public void httpJobHandler() throws Exception {
// param parse
String param = XxlJobHelper.getJobParam();
if (param == null || param.trim().length() == 0) {
XxlJobHelper.log("param[" + param + "] invalid.");
XxlJobHelper.handleFail();
return;
}
String[] httpParams = param.split("\n");
String url = null;
String method = null;
String data = null;
for (String httpParam : httpParams) {
if (httpParam.startsWith("url:")) {
url = httpParam.substring(httpParam.indexOf("url:") + 4).trim();
}
if (httpParam.startsWith("method:")) {
method = httpParam.substring(httpParam.indexOf("method:") + 7).trim().toUpperCase();
}
if (httpParam.startsWith("data:")) {
data = httpParam.substring(httpParam.indexOf("data:") + 5).trim();
}
}
// param valid
if (url == null || url.trim().length() == 0) {
XxlJobHelper.log("url[" + url + "] invalid.");
XxlJobHelper.handleFail();
return;
}
if (method == null || !Arrays.asList("GET", "POST").contains(method)) {
XxlJobHelper.log("method[" + method + "] invalid.");
XxlJobHelper.handleFail();
return;
}
boolean isPostMethod = method.equals("POST");
// request
HttpURLConnection connection = null;
BufferedReader bufferedReader = null;
try {
// connection
URL realUrl = new URL(url);
connection = (HttpURLConnection) realUrl.openConnection();
// connection setting
connection.setRequestMethod(method);
connection.setDoOutput(isPostMethod);
connection.setDoInput(true);
connection.setUseCaches(false);
connection.setReadTimeout(5 * 1000);
connection.setConnectTimeout(3 * 1000);
connection.setRequestProperty("connection", "Keep-Alive");
connection.setRequestProperty("Content-Type", "application/json;charset=UTF-8");
connection.setRequestProperty("Accept-Charset", "application/json;charset=UTF-8");
// do connection
connection.connect();
// data
if (isPostMethod && data != null && data.trim().length() > 0) {
DataOutputStream dataOutputStream = new DataOutputStream(connection.getOutputStream());
dataOutputStream.write(data.getBytes("UTF-8"));
dataOutputStream.flush();
dataOutputStream.close();
}
// valid StatusCode
int statusCode = connection.getResponseCode();
if (statusCode != 200) {
throw new RuntimeException("Http Request StatusCode(" + statusCode + ") Invalid.");
}
// result
bufferedReader = new BufferedReader(
new InputStreamReader(connection.getInputStream(), "UTF-8"));
StringBuilder result = new StringBuilder();
String line;
while ((line = bufferedReader.readLine()) != null) {
result.append(line);
}
String responseMsg = result.toString();
XxlJobHelper.log(responseMsg);
return;
} catch (Exception e) {
XxlJobHelper.log(e);
XxlJobHelper.handleFail();
return;
} finally {
try {
if (bufferedReader != null) {
bufferedReader.close();
}
if (connection != null) {
connection.disconnect();
}
} catch (Exception e2) {
XxlJobHelper.log(e2);
}
}
}
/**
* 5、生命周期任务示例:任务初始化与销毁时,支持自定义相关逻辑;
*/
@XxlJob(value = "demoJobHandler2", init = "init", destroy = "destroy")
public void demoJobHandler2() throws Exception {
XxlJobHelper.log("XXL-JOB, Hello World.");
}
public void init() {
log.info("init");
}
public void destroy() {
log.info("destory");
}
}
这里我直接执行一次
查看调度日志
查看执行日志
其他更多用法自己去尝试,这里只介绍简单使用。
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