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xxl job踩坑记

作者:互联网

先来点套话凑字数:
github连接
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1.:配置完成,启动一次直接调度失败, 报错 No classes defined at reference ‘62’

触发调度<<<<<<<<<<<
触发调度:
address:http://10.24.24.12:9395
code:500
msg:xxl-rpc remoting (url=http://10.24.24.12:9395/run) response content invalid(C0.com.xxl.rpc.remoting.net.params.XxlRpcResponse� requestId�errorMsg�result`NS��com.xxl.rpc.util.XxlRpcException: com.caucho.hessian.io.HessianProtocolException: No classes defined at reference '62' at com.xxl.rpc.serialize.impl.HessianSerializer.deserialize(HessianSerializer.java:52) at com.xxl.rpc.remoting.net.impl.netty_http.server.NettyHttpServerHandler.process(NettyHttpServerHandler.java:81) at com.xxl.rpc.remoting.net.impl.netty_http.server.NettyHttpServerHandler.access$000(NettyHttpServerHandler.java:26) at com.xxl.rpc.remoting.net.impl.netty_http.server.NettyHttpServerHandler$1.run(NettyHttpServerHandler.java:50) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) at java.lang.Thread.run(Thread.java:748)Caused by: com.caucho.hessian.io.HessianProtocolException: No classes defined at reference '62' at com.caucho.hessian.io.Hessian2Input.error(Hessian2Input.java:2926) at com.caucho.hessian.io.Hessian2Input.readObject(Hessian2Input.java:2118) at com.caucho.hessian.io.CollectionDeserializer.readLengthList(CollectionDeserializer.java:93) at com.caucho.hessian.io.Hessian2Input.readObject(Hessian2Input.java:2088) at com.xxl.rpc.serialize.impl.HessianSerializer.deserialize(HessianSerializer.java:49) ... 6 moreN).

原因:版本号不一致。。。
解决:请换个版本

2.登录调度中心报错,某些功能变得无法使用

在这里插入图片描述
原因:版本号不一致导致的js之类的前端缓存未清理
解决:换个浏览器或者Ctrl+F5强制刷新

其他问题一般只要对照这三个步骤即可判断:

创建执行器项目

在源码中,作者提供了各个版本的 执行器项目,此处以xxl-job-executor-sample-springboot项目为例。也可以自己创建项目,然后按照demo或文档进行改造。

1 maven依赖

<dependency>
  <groupId>com.xuxueli</groupId>
   <artifactId>xxl-job-core</artifactId>
   <version>${project.parent.version}</version>
</dependency>

2配置文件

#日志文件
# log config
logging.config=classpath:logback.xml

#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"。
### 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

#执行器的名称、ip地址、端口号
### xxl-job executor address
xxl.job.executor.appname=xxl-job-executor-sample
xxl.job.executor.ip=
xxl.job.executor.port=9999

#执行器通讯TOKEN:非空时启用
### xxl-job, access token
xxl.job.accessToken=

#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
### xxl-job log path
xxl.job.executor.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
#-1表示永不删除
### xxl-job log retention days
xxl.job.executor.logretentiondays=-1

##yml格式 有说不能用域名或127.0.0.1的,但我没测出来为什么不能用
xxl:
  job:
    enabled: true
    accessToken:
    admin:
      addresses: http://127.0.0.1:9102/xxl-job-admin
    executor:
      appname: hospital-ninth-xxljob
      ip: 127.0.0.1
      logpath: /opt/project/xxl-job/log
      logretentiondays: 30
      port: 9999

注意:配置执行器的名称、IP地址、端口号,后面如果配置多个执行器时,要防止端口冲突

3.

package com.xxl.job.executor.core.config;

import com.xxl.job.core.executor.impl.XxlJobSpringExecutor;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;

/**
 * xxl-job config
 *
 * @author xuxueli 2017-04-28
 */
@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;
    }

    /**
     * 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();
     */

}

参考:https://www.cnblogs.com/lwcode6/p/11340296.html

标签:执行器,坑记,private,job,executor,xxlJobSpringExecutor,xxl
来源: https://blog.csdn.net/Angelalcot/article/details/121954906