Spring Cloud整合XXL-Job的几个步骤

第一步：

整合pom文件，在Spring Cloud中添加XXL-Job的依赖

    com.xuxueli
    xxl-job-core
    2.0.1

第二步：

把XXL-Job中的lohback.xml导入到Spring Cloud 项目中

 
    logback

    
 
    
        
            %d{HH:mm:ss.SSS} %contextName [%thread] %-5level %logger{36} - %msg%n
        
    
 
    
        ${log.path}
        
            ${log.path}.%d{yyyy-MM-dd}.zip
        
        
            %date %level [%thread] %logger{36} [%file : %line] %msg%n
            
        
    
 
    
        
        
    
 

第三步：

application.properties整合

server.port=8091
server.tomcat.max-threads=10
spring.application.name=service-order
 
spring.datasource.driver-class-name=com.mysql.jdbc.Driver
spring.datasource.url=jdbc:mysql://localhost:3306/shop?useSSL=false&serverTimezone=UTC&useUnicode=true&characterEncoding=utf8&userSSL=false&allowPublicKeyRetrieval=true
spring.datasource.username=root
spring.datasource.password=123456
 
spring.jpa.properties.show-sql=true
spring.jpa.properties.database=mysql
spring.jpa.properties.database-platform=mysql
spring.jpa.properties.hibernate.ddl-auto=update
spring.jpa.properties.hibernate.dialect=org.hibernate.dialect.MySQL57Dialect
 
spring.cloud.nacos.discovery.server-addr=192.168.136.1:8848
#跟控制台交流的端口，随意制定一个未使用的端口即可
spring.cloud.sentinel.transport.port=9999
#指定控制台服务的地址
spring.cloud.sentinel.transport.dashboard=localhost:8080
 
#关闭sentinel的CommonFilter实列化
spring.cloud.sentinel.filter.enabled=false
 
feign.sentinel.enabled=true
 
#通过修改配置来调整Ribbon的负载均衡策略
service-product.ribbon.NFLoadBalancerRuleClassName=com.netflix.loadbalancer.RandomRule
 
#rocketMQ服务的地址
rocketmq.name-server=192.168.136.111:9876
# 生产者组
rocketmq.producer.group=shop-order
spring.cloud.nacos.config.namespace=public
spring.cloud.nacos.config.group=SEATE_GROUP
spring.cloud.alibaba.seata.tx-service-group=${spring.application.name}
spring.cloud.nacos.config.env=dev
 
logging.config=classpath:logback.xml
 
 
### xxl-job admin address list, such as "http://address" or "http://address01,http://address02"
xxl.job.admin.addresses=http://192.168.136.111:8080/xxl-job-admin
 
### xxl-job executor address
xxl.job.executor.appname=xxl-job-executor-sample
xxl.job.executor.ip=
xxl.job.executor.port=9999
 
### xxl-job, access token
xxl.job.accessToken=
 
### xxl-job log path
xxl.job.executor.logpath=/opt/module/xxl-job-2.0.1/jobhandler
### xxl-job log retention days
xxl.job.executor.logretentiondays=-1

第四步：

向Spring Cloud中导入XxlJobConfig.class

@Configuration
@ComponentScan(basePackages = "com.xxl.job.executor.service.jobhandler")
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;
    }

}

重点：