SpringBoot-Xxl-Job


SpringBoot_Xxl-Job

新建 xxl-job-demo 项目,熟悉原生 xxl-job 项目工作原理

第一步

  • 添加 pom.xml 文件
<dependency>
    <groupId>com.xuxueli</groupId>
    <artifactId>xxl-job-core</artifactId>
    <version>2.3.0</version>
</dependency>

第二步

  • 添加配置文件
# web port
server.port=8082
# log config
logging.config=classpath:logback.xml
spring.application.name=xxl-job-demo
### 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;
xxl.job.admin.addresses=http://localhost:8080/xxl-job-admin
### 执行器通讯TOKEN [选填]:非空时启用;
xxl.job.accessToken=
### 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
xxl.job.executor.appname=xxl-job-demo
### 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。
xxl.job.executor.address=
### 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";
xxl.job.executor.ip=
### 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;
xxl.job.executor.port=9999
### 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;
xxl.job.executor.logpath=/data/applogs/xxl-job/jobhandler
### 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;
xxl.job.executor.logretentiondays=10

第三步

  • 定义配置类
@Configuration
public class XxlJobConfig {
    private Logger logger = LoggerFactory.getLogger(XxlJobConfig.class);
    @Value("${xxl.job.admin.addresses}")
    private String adminAddresses;
    @Value("${xxl.job.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;

    @Bean
    public XxlJobSpringExecutor xxlJobExecutor() {
        logger.info(">>>>>>>>>>> xxl-job config init.");
        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;
    }
}

第四步

  • 定义运行的 Handler
@Component
public class XxlJobDemoHandler {
    /**
     * Bean模式,一个方法为一个任务
     * 1、在Spring Bean实例中,开发Job方法,方式格式要求为 "public ReturnT<String> execute(String param)"
     * 2、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。
     * 3、执行日志:需要通过 "XxlJobLogger.log" 打印执行日志;
     */
    @XxlJob("demoJob")
    public ReturnT<String> demoJob(String param) throws Exception {
        XxlJobHelper.log("java, Hello World~~~");
        XxlJobHelper.log("param:" + param);
        return ReturnT.SUCCESS;
    }
}

改造原生 xxl-job 适配对应的项目业务

这里项目之间的调用是通过 Feign,因此需要对原本的项目进行简单的改造,xxl-job 需要作为服务的提供者对外提供服务。

第一步

  • 添加 pom.xml 对应的 Feign 依赖
<properties>
    <spring-cloud.version>2020.0.4</spring-cloud.version>
    <spring-cloud-alibaba.version>2021.1</spring-cloud-alibaba.version>
</properties>

<dependencyManagement>
    <dependencies>
        <dependency>
            <groupId>org.springframework.cloud</groupId>
            <artifactId>spring-cloud-dependencies</artifactId>
            <version>${spring-cloud.version}</version>
            <type>pom</type>
            <scope>import</scope>
        </dependency>

        <dependency>
            <groupId>com.alibaba.cloud</groupId>
            <artifactId>spring-cloud-alibaba-dependencies</artifactId>
            <version>${spring-cloud-alibaba.version}</version>
            <type>pom</type>
            <scope>import</scope>
        </dependency>
    </dependencies>
</dependencyManagement>

<dependencies>
    <dependency>
        <groupId>com.alibaba.cloud</groupId>
        <artifactId>spring-cloud-starter-alibaba-nacos-discovery</artifactId>
        <!-- 使用spring loadbalancer,弃用ribbon -->
        <exclusions>
            <exclusion>
                <groupId>org.springframework.cloud</groupId>
                <artifactId>spring-cloud-starter-netflix-ribbon</artifactId>
            </exclusion>
            <exclusion>
                <groupId>com.alibaba.nacos</groupId>
                <artifactId>nacos-client</artifactId>
            </exclusion>
        </exclusions>
    </dependency>

    <dependency>
        <groupId>com.alibaba.nacos</groupId>
        <artifactId>nacos-client</artifactId>
        <version>2.0.3</version>
    </dependency>
</dependencies>

第二步

  • 添加配置文件
spring.application.name=xxl-job-service-demo1
spring.cloud.nacos.discovery.server-addr=172.16.0.127:8848

在 xxl-job 中,关于任务的新增,修改,触发都在 JobInfoController 这个类之中,但这个类是提供给后台使用的,直接使用需要登录验证,如果这个时候修改 xxl-job 代码,会破坏原本框架的结构,后续业务的扩展和错误的排查会变的很麻烦

这里提供一个思路:重写对应的方法,然后添加上 @PermissionLimit(limit = false) 注解即可。

  • 举例

    xxl-job 新增任务的方法如下:

    @RequestMapping("/add")
    @ResponseBody
    public ReturnT<String> add(XxlJobInfo jobInfo) {
     return xxlJobService.add(jobInfo);
    }

    重写后的方法如下:

    @RequestMapping("/addJob")
    @ResponseBody
    @PermissionLimit(limit = false)
    public ReturnT<String> addJob(@RequestBody XxlJobInfo jobInfo) {
     return xxlJobService.add(jobInfo);
    }

    后续的使用,直接调用对应的 addJob,这样既不破坏原本的框架结构,又满足了对应的业务。

第三步

  • 重写 xxl-job 里的方法
// 新增任务
@RequestMapping("/addJob")
@ResponseBody
@PermissionLimit(limit = false)
public ReturnT<String> addJob(@RequestBody XxlJobInfo jobInfo) {
    return xxlJobService.add(jobInfo);
}

// 更新任务
@RequestMapping("/updateJob")
@ResponseBody
@PermissionLimit(limit = false)
public ReturnT<String> updateJob(@RequestBody XxlJobInfo jobInfo) {
    return xxlJobService.update(jobInfo);
}

//  删除任务
@RequestMapping("/removeJob")
@ResponseBody
@PermissionLimit(limit = false)
public ReturnT<String> removeJob(Integer id) {
    return xxlJobService.remove(id);
}

// 停止任务
@RequestMapping("/stopJob")
@ResponseBody
@PermissionLimit(limit = false)
public ReturnT<String> pauseJob(Integer id) {
    return xxlJobService.stop(id);
}

// 开始任务
@RequestMapping("/startJob")
@ResponseBody
@PermissionLimit(limit = false)
public ReturnT<String> startJob(Integer id) {
    return xxlJobService.start(id);
}

// 添加并开始任务
@RequestMapping("/addAndStart")
@ResponseBody
@PermissionLimit(limit = false)
public ReturnT<String> addAndStart(@RequestBody XxlJobInfo jobInfo) {
    ReturnT<String> result = xxlJobService.add(jobInfo);
    int id = Integer.valueOf(result.getContent());
    xxlJobService.start(id);
    return result;
}

// 重写数据校验的方法
@RequestMapping("/cronTriggerTime")
@ResponseBody
@PermissionLimit(limit = false)
public ReturnT<List<String>> cronTriggerTime(String scheduleType, String scheduleConf) {
    XxlJobInfo paramXxlJobInfo = new XxlJobInfo();
    paramXxlJobInfo.setScheduleType(scheduleType);
    paramXxlJobInfo.setScheduleConf(scheduleConf);

    List<String> result = new ArrayList<>();
    try {
        Date lastTime = new Date();
        for (int i = 0; i < 5; i++) {
            lastTime = JobScheduleHelper.generateNextValidTime(paramXxlJobInfo, lastTime);
            if (lastTime != null) {
                result.add(DateUtil.formatDateTime(lastTime));
            } else {
                break;
            }
        }
    } catch (Exception e) {
        logger.error(e.getMessage(), e);
        return new ReturnT<List<String>>(ReturnT.FAIL_CODE, (I18nUtil.getString("schedule_type") + I18nUtil.getString("system_unvalid")) + e.getMessage());
    }
    return new ReturnT<List<String>>(result);
}

构造调用 xxl-job 的项目

第一步

  • 添加 pom.xml 文件
<properties>
    <java.version>1.8</java.version>
    <spring-cloud.version>2020.0.4</spring-cloud.version>
    <spring-cloud-alibaba.version>2021.1</spring-cloud-alibaba.version>
    <spring-boot-dependencies.version>2.5.6</spring-boot-dependencies.version>
</properties>

<!--nacos consumer-->
<dependency>
    <groupId>com.alibaba.cloud</groupId>
    <artifactId>spring-cloud-starter-alibaba-sentinel</artifactId>
</dependency>

<dependency>
    <groupId>com.alibaba.cloud</groupId>
    <artifactId>spring-cloud-starter-alibaba-nacos-discovery</artifactId>
</dependency>

<dependency>
    <groupId>org.springframework.cloud</groupId>
    <artifactId>spring-cloud-starter-openfeign</artifactId>
</dependency>

<dependency>
    <groupId>org.springframework.cloud</groupId>
    <artifactId>spring-cloud-starter-loadbalancer</artifactId>
</dependency>

<dependency>
    <groupId>io.github.openfeign</groupId>
    <artifactId>feign-okhttp</artifactId>
</dependency>

<dependency>
    <groupId>org.springframework.boot</groupId>
    <artifactId>spring-boot-starter-actuator</artifactId>
</dependency>

<!--xxl-job-->
<dependency>
    <groupId>com.xuxueli</groupId>
    <artifactId>xxl-job-core</artifactId>
    <version>2.3.0</version>
</dependency>

<dependencyManagement>
    <dependencies>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-dependencies</artifactId>
            <version>${spring-boot-dependencies.version}</version>
            <type>pom</type>
            <scope>import</scope>
        </dependency>

        <dependency>
            <groupId>org.springframework.cloud</groupId>
            <artifactId>spring-cloud-dependencies</artifactId>
            <version>${spring-cloud.version}</version>
            <type>pom</type>
            <scope>import</scope>
        </dependency>

        <dependency>
            <groupId>com.alibaba.cloud</groupId>
            <artifactId>spring-cloud-alibaba-dependencies</artifactId>
            <version>${spring-cloud-alibaba.version}</version>
            <type>pom</type>
            <scope>import</scope>
        </dependency>

    </dependencies>
</dependencyManagement>

第二步

  • 添加配置文件
spring:
  application:
    name: springboot-Xxljob
    nacos:
      discovery:
        server-addr: xxxx-xx-xx:8848
  main:
    allow-bean-definition-overriding: true

config:
  job:
    url: xxl-job-service

xxl:
  job:
    # 执行器通讯TOKEN,非空时启用
    accessToken: ''
    admin:
      # 调度中心部署跟地址: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"
      addresses: http://127.0.0.1:8082/xxlJobAdmin/v1
    executor:
      # 执行器"AppName"和地址信息配置:AppName执行器心跳注册分组依据;地址信息用于"调度中心请求并触发任务"和"执行器注册"。执行器默认端口为9999,执行器IP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。单机部署多个执行器时,注意要配置不同执行器端口
      appname: xxl-server
      ip: ''
      address: ''
      # 执行器运行日志文件存储的磁盘位置,需要对该路径拥有读写权限
      logpath: /data/applogs/xxl-job/jobhandler
      # 执行器Log文件定期清理功能,指定日志保存天数,日志文件过期自动删除。限制至少保持3天,否则功能不生效;
      logretentiondays: 30
      port: 9999

第三步

  • 定义 xxl-job 的配置类
@Configuration
public class XxlJobConfig {
    private Logger logger = LoggerFactory.getLogger(XxlJobConfig.class);

    @Value("${xxl.job.admin.addresses}")
    private String adminAddresses;

    @Value("${xxl.job.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;


    @Bean
    public XxlJobSpringExecutor xxlJobExecutor() {
        logger.info(">>>>>>>>>>> xxl-job config init.");
        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();
     */


}

第四步

  • 定义 Feign 调用接口
@FeignClient(name = "${config.job.url}")
@Component
@RequestMapping("/xxlJobAdmin/v1")
public interface JobInfoClient {

    /**
     * CRON 数据校验
     *
     * @param scheduleType
     * @param scheduleConf
     * @return
     */
    @GetMapping("/jobinfo/cronTriggerTime")
    ReturnT<List<String>> cronTriggerTime(@RequestParam("scheduleType") String scheduleType, @RequestParam("scheduleConf") String scheduleConf);

    /**
     * 新增任务
     *
     * @param jobInfo
     * @return
     */
    @PostMapping("/jobinfo/addJob")
    ReturnT<String> addJob(@RequestBody XxlJobInfo jobInfo);

    /**
     * 更新任务
     *
     * @param jobInfo
     * @return
     */
    @PutMapping("/jobinfo/updateJob")
    ReturnT<String> updateJob(@RequestBody XxlJobInfo jobInfo);

    /**
     * 删除任务
     *
     * @param id
     * @return
     */
    @DeleteMapping("/jobinfo/removeJob")
    ReturnT<String> removeJob(@RequestParam("id") Integer id);

    /**
     * 停止任务
     *
     * @param id
     * @return
     */
    @Transactional
    @PutMapping("/jobinfo/stopJob")
    ReturnT<String> pauseJob(@RequestParam("id") Integer id);

    /**
     * 开始任务
     *
     * @param id
     * @return
     */
    @Transactional
    @PutMapping("/jobinfo/startJob")
    ReturnT<String> startJob(@RequestParam("id") Integer id);

    /**
     * 添加并开始任务
     *
     * @param jobInfo
     * @return
     */
    @PostMapping("/jobinfo/addAndStart")
    ReturnT<String> addAndStart(@RequestBody XxlJobInfo jobInfo);
}

第五步

  • 定义运行的 Hander
/**
 * XxlJob开发示例(Bean模式)
 * <p>
 * 开发步骤:
 * 1、任务开发:在Spring Bean实例中,开发Job方法;
 * 2、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。
 * 3、执行日志:需要通过 "XxlJobHelper.log" 打印执行日志;
 * 4、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;
 *
 * @author xuxueli 2019-12-11 21:52:51
 */
@Slf4j
@Component
public class SampleXxlJob {

    private String str = "XXL-JOB,参数:";
    private static ExecutorService pool;

    /**
     * 这里引入多线程
     * @PostConstruct 的作用是在项目启动时执行这个方法
     * maximumPoolSize 设置为 2 ,拒绝策略为 AbortPolicy 策略,直接抛出异常
     */
    @PostConstruct
    public void init() {
        pool = new ThreadPoolExecutor(1, 2, 1000, TimeUnit.MILLISECONDS, new SynchronousQueue<Runnable>(), Executors.defaultThreadFactory(), new ThreadPoolExecutor.AbortPolicy());
    }

    /**
     * 1、简单任务示例(Bean模式)
     */
    @XxlJob("demoJobHandler")
    public void demoJobHandler() {
        String command = XxlJobHelper.getJobParam();
        XxlJobHelper.log(str + command);
        String[] split = command.split("-");
        if (split.length != 2) {
            XxlJobHelper.log("参数错误---" + command);
        } else {
            Integer taskId = Integer.parseInt(split[0]);
            Integer jobId = Integer.parseInt(split[1]);
            /**
             * 处理业务的代码
             */
        }
    }

    /**
     * 2、分片广播任务
     */
    @XxlJob("shardingJobHandler")
    public void shardingJobHandler() {
        // 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);
            }
        }

    }

    /**
     * 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() {
        // 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() {
        XxlJobHelper.log(str);
    }

    public void destroy() {
        log.info("destory");
    }

}

第六步

  • 业务调用
@RestController
@Slf4j
@RequestMapping("/quart")
public class QuartzController {

    @Resource
    private JobInfoClient jobInfoClient;

    /**
     * 执行器名称,这个值默认在配置项中配置
     */
    @Value("${xxl.job.executor.appname}")
    private String appname;

    /**
     * 这里添加一个例子说明如何调用 xxl-job 对应的方法
     * 具体使用的时候,需要根据实际的使用情况封装对应的参数
     */
    @PostMapping("/addTask")
    public void addTask() {
        /**
         * 定义参数的值
         * handler 的值就是 SampleXxlJob 类对应方法的名称注解
         * 在后续的业务调用中,只需要在创建新的 Job 时,传入对应的参数即可执行对应 Hanlder 里面的任务
         */
        String name = "这是测试Demo";
        String param = "这是Task的参数";
        String handler = "demoJobHandler";
        ReturnT<Integer> groupId = jobInfoClient.getGroupId(appname);
        Integer infoClientId = jobInfoClient.getId(name);
        XxlJobInfo xxlJobInfo = XxlJobInfo.taskJob(groupId.getContent(), name, null, null, handler, param, 0);
        if (ObjectUtils.isEmpty(infoClientId)) {
            // 添加 xxl-job 的任务
            ReturnT<String> returnT = jobInfoClient.addJob(xxlJobInfo);
            if (returnT.getCode() != 200) {
                log.error("调度任务创建失败,传入的数据为:{}", xxlJobInfo);
                return;
            }
        }
    }
}

第七步

  • 启动类增加注解
@SpringBootApplication
@EnableFeignClients
public class SpringbootQuartzApplication {
    public static void main(String[] args) {
        SpringApplication.run(SpringbootQuartzApplication.class, args);
    }
}

文章作者: L Q
版权声明: 本博客所有文章除特別声明外,均采用 CC BY 4.0 许可协议。转载请注明来源 L Q !
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