LTS 分布式任务调度框架- TaskTracker配置自定义分发jobRunner

一时失言乱红尘 2022-05-31 00:20 517阅读 0赞

**1.Spring扫描初始化配置所在包**

<context:annotation-config />
    <context:component-scan base-package="com.ithzk.lts" />

**2.配置文件 lts-ittracker.properties**

lts.tasktracker.cluster-name=it_lts_cluster
    lts.tasktracker.registry-address=zookeeper://127.0.0.1:2181
    lts.tasktracker.node-group=it_trade_tasktracker
    lts.tasktracker.configs.job.fail.store=mapdb

**3.编写自定义JobRunner**

package com.ithzk.lts.runner;
    
    import com.github.ltsopensource.core.domain.Action;
    import com.github.ltsopensource.core.logger.Logger;
    import com.github.ltsopensource.core.logger.LoggerFactory;
    import com.github.ltsopensource.tasktracker.Result;
    import com.github.ltsopensource.tasktracker.logger.BizLogger;
    import com.github.ltsopensource.tasktracker.runner.JobContext;
    import com.github.ltsopensource.tasktracker.runner.JobRunner;
    import com.github.ltsopensource.tasktracker.runner.LtsLoggerFactory;
    import org.springframework.beans.factory.annotation.Autowired;
    
    public class JobRunnerDispatcherimplements JobRunner {
    
        private static final Logger LOGGER = LoggerFactory.getLogger(JobRunnerDispatcher.class);
    
        @Override
        public Result run(JobContext jobContext) throws Throwable {
            try {
                //业务逻辑
                LOGGER.info("执行：" + jobContext);
                BizLogger bizLogger = LtsLoggerFactory.getBizLogger();
                // 会发送到 LTS JobTracker上
                bizLogger.info("测试");
    
            } catch (Exception e) {
                LOGGER.info("Run job failed!", e);
                return new Result(Action.EXECUTE_LATER, e.getMessage());
            }
            return new Result(Action.EXECUTE_SUCCESS, "Run job success!");
        }
    
    }

**4.初始化taskTracker**

package com.ithzk.lts.config;
    
    import org.springframework.beans.BeansException;
    import org.springframework.context.ApplicationContext;
    import org.springframework.context.ApplicationContextAware;
    import org.springframework.context.annotation.Bean;
    import org.springframework.context.annotation.Configuration;
    
    import com.github.ltsopensource.spring.TaskTrackerAnnotationFactoryBean;
    import com.github.ltsopensource.tasktracker.TaskTracker;
    import com.ithzk.lts.runner.JobRunnerDispatcher;
    
    @Configuration
    public class TaskTrackerConfig implements ApplicationContextAware {
    
        private ApplicationContext applicationContext;
    
        @Override
        public void setApplicationContext(ApplicationContext applicationContext) throws BeansException {
            this.applicationContext = applicationContext;
        }
    
        @Bean(name = "taskTracker")
        public TaskTracker getTaskTracker() throws Exception {
            TaskTrackerAnnotationFactoryBean factoryBean = new TaskTrackerAnnotationFactoryBean();
            factoryBean.setApplicationContext(applicationContext);
            factoryBean.setJobRunnerClass(JobRunnerDispatcher.class);
            factoryBean.setLocations("lts-ittracker.properties");
            factoryBean.setWorkThreads(64);
            factoryBean.setShardField("taskId");
            factoryBean.setBindIp("INFO");
            factoryBean.afterPropertiesSet();
            factoryBean.start();
            return factoryBean.getObject();
        }
    
    }

> 启动即可开始调度任务
> 
> 附:很多小伙伴使用LTS的时候，会存在需要调用各种类型任务的情况，是否需要多个TaskTracker去执行不同的任务。官方给出的建议是当某种任务量非常大或者非常耗时的时候，可以将任务独立出一个或者多个TaskTracker去执行。任务量不大的时候可以使用一个TaskTracker来解决这种问题

主要通过Job中自定义参数实现，可以在Job中指定参数去处理调度各种任务处理不同业务逻辑,下面给出一个参考例子

首先需要不同业务逻辑的JobRunner

package com.ithzk.lts.runner;
    
    import java.util.HashMap;
    import java.util.Map;
    
    import com.github.ltsopensource.core.domain.Action;
    import com.github.ltsopensource.core.domain.Job;
    import com.github.ltsopensource.core.logger.Logger;
    import com.github.ltsopensource.core.logger.LoggerFactory;
    import com.github.ltsopensource.tasktracker.Result;
    import com.github.ltsopensource.tasktracker.logger.BizLogger;
    import com.github.ltsopensource.tasktracker.runner.JobContext;
    import com.github.ltsopensource.tasktracker.runner.JobRunner;
    import com.github.ltsopensource.tasktracker.runner.LtsLoggerFactory;
    
    public class AJobRunner implements JobRunner{
    
        private static final Logger logger = LoggerFactory.getLogger(AJobRunner.class);
    
        /** * 启动新的线程去执行具体业务 */
        class newJobThread implements Runnable{
    
            Map<String, String> params = new HashMap<String,String>();
    
            newJobThread(Map<String, String> params){
                this.params = params;
            }
    
            @Override
            public void run() {
                try {
                    Thread.sleep(60000);
                } catch (InterruptedException e) {
                    e.printStackTrace();
                }
                //调用具体业务        
            }
    
        }
    
        @Override
        public Result run(JobContext jobContext) throws Throwable {
            try {       
                Job job = jobContext.getJob();
                String params = job.getExtParams().get("params");
                Map<String, String> param = new HashMap<String,String>();
                new Thread(new newJobThread(param)).start();
    
                BizLogger bizLogger = LtsLoggerFactory.getBizLogger();
                bizLogger.info("AJobRunner.success.......");
            } catch (Exception e) {
                logger.info("Run job failed!", e);
                return new Result(Action.EXECUTE_FAILED, e.getMessage());
            }
            return new Result(Action.EXECUTE_SUCCESS, "Run job success!");
        }
    
    }

package com.ithzk.lts.runner;
    
    import java.util.concurrent.ConcurrentHashMap;
    
    import com.github.ltsopensource.core.domain.Action;
    import com.github.ltsopensource.core.domain.Job;
    import com.github.ltsopensource.core.logger.Logger;
    import com.github.ltsopensource.core.logger.LoggerFactory;
    import com.github.ltsopensource.tasktracker.Result;
    import com.github.ltsopensource.tasktracker.runner.JobContext;
    import com.github.ltsopensource.tasktracker.runner.JobRunner;
    
    /** * 任务执行分发 */
    public class JobRunnerDispatcher implements JobRunner {
    
        private static final Logger LOGGER = LoggerFactory.getLogger(JobRunnerDispatcher.class);
    
        private static final ConcurrentHashMap<String, JobRunner> JOB_RUNNER_MAP = new ConcurrentHashMap<String, JobRunner>();
    
        static {
            JOB_RUNNER_MAP.put("aJobRunner", new AJobRunner());
        }
    
        @Override
        public Result run(JobContext jobContext) throws Throwable {
            try {
                //根据type选择对应的JobRunner运行
                Job job = jobContext.getJob();
                String taskType= job.getParam("taskType");
                LOGGER.warn("IT_Trade_Tasktracker 正在匹配对应任务.........");
                JobRunner jobRunner = JOB_RUNNER_MAP.get(taskIdentifier);
                LOGGER.warn("IT_Trade_Tasktracker 进入任务中......... TaskType："+taskType);
                return jobRunner.run(jobContext);
            } catch (Exception e) {
                LOGGER.info("Run job failed!", e);
                return new Result(Action.EXECUTE_LATER, e.getMessage());
            }
            //return new JobDispatcher().run(jobContext);
        }
    
    }

这样就可以解决一个taskTracker处理不同任务的问题了,希望能帮到大家