Quartz.Net分布式运用

Quartz.Net的集群部署详解

标签（空格分隔）： Quartz.Net Job

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最近工作上要用Job，公司的job有些不满足个人的使用，于是就想自己搞一个Job站练练手，网上看了一下，发现Quartz，于是就了解了一下。

第一版

目前个人使用的是Asp.net Core,在core2.0下面进行的开发。

第一版自己简单的写了一个调度器。

public static class SchedulerManage
{
        private static IScheduler _scheduler = null;

        private static object obj = new object();

        public static IScheduler Scheduler
        {
            get
            {
                var scheduler = _scheduler;
                if (scheduler == null)
                {
                    //在这之前有可能_scheduler被改变了scheduler用的还是原来的值
                    lock (obj)
                    {
                        //这里读取最新的内存里面的值赋值给scheduler，保证读取到的是最新的_scheduler
                        scheduler = Volatile.Read(ref _scheduler);
                        if (scheduler == null)
                        {
                            scheduler = GetScheduler().Result;
                            Volatile.Write(ref _scheduler, scheduler);
                        }
                    }
                }
                return scheduler;
            }
        }

        public static async Task<BaseResponse> RunJob(IJobDetail job, ITrigger trigger)
        {
            var response = new BaseResponse();
            try
            {
                var isExist = await Scheduler.CheckExists(job.Key);
                var time = DateTimeOffset.Now;
                if (isExist)
                {
                    //恢复已经存在任务
                    await Scheduler.ResumeJob(job.Key);
                }
                else
                {
                    time = await Scheduler.ScheduleJob(job, trigger);
                }
                response.IsSuccess = true;
                response.Msg = time.ToString("yyyy-MM-dd HH:mm:ss");
            }
            catch (Exception ex)
            {
                response.Msg = ex.Message;
            }
            return response;

        }

        public static async Task<BaseResponse> StopJob(JobKey jobKey)
        {
            var response = new BaseResponse();
            try
            {
                var isExist = await Scheduler.CheckExists(jobKey);
                if (isExist)
                {
                    await Scheduler.PauseJob(jobKey);
                }
                response.IsSuccess = true;
                response.Msg = "暂停成功！！";
            }
            catch (Exception ex)
            {
                response.Msg = ex.Message;
            }
            return response;
        }

        public static async Task<BaseResponse> DelJob(JobKey jobKey)
        {
            var response = new BaseResponse();
            try
            {
                var isExist = await Scheduler.CheckExists(jobKey);
                if (isExist)
                {
                    response.IsSuccess = await Scheduler.DeleteJob(jobKey);
                }
            }
            catch (Exception ex)
            {
                response.IsSuccess = false;
                response.Msg = ex.Message;
            }
            return response;
        }

        private static async Task<IScheduler> GetScheduler()
        {
            NameValueCollection props = new NameValueCollection() {
                {"quartz.serializer.type", "binary" }
            };
            StdSchedulerFactory factory = new StdSchedulerFactory(props);
            var scheduler = await factory.GetScheduler();
            await scheduler.Start();
            return scheduler;
        }
}

简单的实现了，动态的运行job，暂停Job，添加job。弄完以后，发现貌似没啥问题，只要自己把运行的job信息找张表存储一下，好像都ok了。

轮到发布的时候，突然发现现实机器不止一台，是通过Nigix进行反向代理。突然发现以下几个问题：

1，多台机器很有可能一个Job在多台机器上运行。

2，当进行部署的时候，必须得停掉机器，如何在机器停掉以后重新部署的时候自动恢复正在运行的Job。

3，如何均衡的运行所有job。

个人当时的想法

1，第一个问题：由于是经过Nigix的反向代理，添加Job和运行job只能落到一台服务器上，基本没啥问题。个人控制好RunJob的接口，运行了一次，把JobDetail的那张表的运行状态改成已运行，也就不存在多个机器同时运行的情况。

2，在第一个问题解决的情况下，由于我们公司的Nigix反向代理的逻辑是：均衡策略。所以均衡运行所有job都没啥问题。

3，重点来了！！！！

如何在部署的时候恢复正在运行的Job？

由于我们已经有了一张JobDetail表。里面可以获取到哪些正在运行的Job。wome我们把他找出来直接在程序启动的时候运行一下不就好了吗嘛。

下面是个人实现的：

//HostedService，在主机运行的时候运行的一个服务
public class HostedService : IHostedService
{

        public HostedService(ISchedulerJob schedulerCenter)
        {
            _schedulerJob = schedulerCenter;
        }

        private ISchedulerJob _schedulerJob = null;

        public async Task StartAsync(CancellationToken cancellationToken)
        {
            LogHelper.WriteLog("开启Hosted+Env:"+env);
            var reids= new RedisOperation();
            if (reids.SetNx("RedisJobLock", "1"))
            {
                await _schedulerJob.StartAllRuningJob();
            }
            reids.Expire("RedisJobLock", 300);
        }

        public async Task StopAsync(CancellationToken cancellationToken)
        {
            LogHelper.WriteLog("结束Hosted");
            var redis = new RedisOperation();
            if (redis.RedisExists("RedisJobLock"))
            {
                var count=redis.DelKey("RedisJobLock");
                LogHelper.WriteLog("删除Reidskey-RedisJobLock结果：" + count);
            }
        }
}

    //注入用的特性
    [ServiceDescriptor(typeof(ISchedulerJob), ServiceLifetime.Transient)]
    public class SchedulerCenter : ISchedulerJob
    {
        public SchedulerCenter(ISchedulerJobFacade schedulerJobFacade)
        {
            _schedulerJobFacade = schedulerJobFacade;
        }

        private ISchedulerJobFacade _schedulerJobFacade = null;

        public async Task<BaseResponse> DelJob(SchedulerJobModel jobModel)
        {
            var response = new BaseResponse();
            if (jobModel != null && jobModel.JobId != 0 && jobModel.JobName != null)
            {
                response = await _schedulerJobFacade.Modify(new SchedulerJobModifyRequest() { JobId = jobModel.JobId, DataFlag = 0 });
                if (response.IsSuccess)
                {
                    response = await SchedulerManage.DelJob(GetJobKey(jobModel));
                    if (!response.IsSuccess)
                    {
                        response = await _schedulerJobFacade.Modify(new SchedulerJobModifyRequest() { JobId = jobModel.JobId, DataFlag = 1 });
                    }
                }
            }
            else
            {
                response.Msg = "请求参数有误";
            }
            return response;
        }

        public async Task<BaseResponse> RunJob(SchedulerJobModel jobModel)
        {
            if (jobModel != null)
            {
                var jobKey = GetJobKey(jobModel);

                var triggleBuilder = TriggerBuilder.Create().WithIdentity(jobModel.JobName + "Trigger", jobModel.JobGroup).WithCronSchedule(jobModel.JobCron).StartAt(jobModel.JobStartTime);
                if (jobModel.JobEndTime != null && jobModel.JobEndTime != new DateTime(1900, 1, 1) && jobModel.JobEndTime == new DateTime(1, 1, 1))
                {
                    triggleBuilder.EndAt(jobModel.JobEndTime);
                }
                triggleBuilder.ForJob(jobKey);
                var triggle = triggleBuilder.Build();
                var data = new JobDataMap();
                data.Add("***", "***");
                data.Add("***", "***");
                data.Add("***", "***");
                var job = JobBuilder.Create<SchedulerJob>().WithIdentity(jobKey).SetJobData(data).Build();
                var result = await SchedulerManage.RunJob(job, triggle);
                if (result.IsSuccess)
                {
                    var response = await _schedulerJobFacade.Modify(new SchedulerJobModifyRequest() { JobId = jobModel.JobId, JobState = 1 });
                    if (!response.IsSuccess)
                    {
                        await SchedulerManage.StopJob(jobKey);
                    }
                    return response;
                }
                else
                {
                    return result;
                }
            }
            else
            {
                return new BaseResponse() { Msg = "Job名称为空！！" };
            }

        }

        public async Task<BaseResponse> StopJob(SchedulerJobModel jobModel)
        {
            var response = new BaseResponse();
            if (jobModel != null && jobModel.JobId != 0 && jobModel.JobName != null)
            {
                response = await _schedulerJobFacade.Modify(new SchedulerJobModifyRequest() { JobId = jobModel.JobId, JobState = 2 });
                if (response.IsSuccess)
                {
                    response = await SchedulerManage.StopJob(GetJobKey(jobModel));
                    if (!response.IsSuccess)
                    {
                        response = await _schedulerJobFacade.Modify(new SchedulerJobModifyRequest() { JobId = jobModel.JobId, JobState = 2 });
                    }
                }
            }
            else
            {
                response.Msg = "请求参数有误";
            }
            return response;
        }

        private JobKey GetJobKey(SchedulerJobModel jobModel)
        {
            return new JobKey($"{jobModel.JobId}_{jobModel.JobName}", jobModel.JobGroup);
        }

        public async Task<BaseResponse> StartAllRuningJob()
        {
            try
            {
                var jobListResponse = await _schedulerJobFacade.QueryList(new SchedulerJobListRequest() { DataFlag = 1, JobState = 1, Environment=Kernel.Environment.ToLower() });
                if (!jobListResponse.IsSuccess)
                {
                    return jobListResponse;
                }
                var jobList = jobListResponse.Models;
                foreach (var job in jobList)
                {
                    await RunJob(job);
                }

                return new BaseResponse() { IsSuccess = true, Msg = "程序启动时，启动所有运行中的job成功！！" };
            }
            catch (Exception ex)
            {
                LogHelper.WriteExceptionLog(ex);
                return new BaseResponse() { IsSuccess = false, Msg = "程序启动时，启动所有运行中的job失败！！" };
            }
        }
    }

在程序启动的时候，把所有的Job去运行一遍，当中对于多次运行的用到了Redis的分布式锁，现在启动的时候锁住，不让别人运行，在程序卸载的时候去把锁释放掉！！感觉没啥问题，主要是可能负载均衡有问题，全打到一台服务器上去了，勉强能够快速的打到效果。当然高可用什么的就先牺牲掉了。

坑点又来了

大家知道，在稍微大点的公司，运维和开发是分开的，公司用的daoker进行部署，在程序停止的时候，不会调用

HostedService的StopAsync方法！！

当时心里真是一万个和谐和谐奔腾而过!!

个人也就懒得和运维去扯这些东西了。最后的最后就是：设置一个redis的分布式锁的过期时间，大概预估一个部署的时间，只要在部署直接，锁能够在就行了，然后每次部署的间隔要大于锁过期时间。好麻烦，说多了都是泪！！

Quartz.Net的分布式集群运用

Schedule配置

        public async Task<IScheduler> GetScheduler()
        {
            var properties = new NameValueCollection();

            properties["quartz.serializer.type"] = "binary";

            //存储类型
            properties["quartz.jobStore.type"] = "Quartz.Impl.AdoJobStore.JobStoreTX, Quartz";
            //表明前缀
            properties["quartz.jobStore.tablePrefix"] = "QRTZ_";
            //驱动类型
            properties["quartz.jobStore.driverDelegateType"] = "Quartz.Impl.AdoJobStore.SqlServerDelegate, Quartz";
            //数据库名称
            properties["quartz.jobStore.dataSource"] = "SchedulJob";
            //连接字符串Data Source = myServerAddress;Initial Catalog = myDataBase;User Id = myUsername;Password = myPassword;
            properties["quartz.dataSource.SchedulJob.connectionString"] = "Data Source =.; Initial Catalog = SchedulJob;User ID = sa; Password = *****;";
            //sqlserver版本(Core下面已经没有什么20，21版本了)
            properties["quartz.dataSource.SchedulJob.provider"] = "SqlServer";
            //是否集群，集群模式下要设置为true
            properties["quartz.jobStore.clustered"] = "true";
            properties["quartz.scheduler.instanceName"] = "TestScheduler";
            //集群模式下设置为auto，自动获取实例的Id，集群下一定要id不一样，不然不会自动恢复
            properties["quartz.scheduler.instanceId"] = "AUTO";
            properties["quartz.threadPool.type"] = "Quartz.Simpl.SimpleThreadPool, Quartz";
            properties["quartz.threadPool.threadCount"] = "25";
            properties["quartz.threadPool.threadPriority"] = "Normal";
            properties["quartz.jobStore.misfireThreshold"] = "60000";
            properties["quartz.jobStore.useProperties"] = "false";
            ISchedulerFactory factory = new StdSchedulerFactory(properties);
            return await factory.GetScheduler();
        }

然后是测试代码：

        public async Task TestJob()
        {
            var sched = await GetScheduler();
            //Console.WriteLine("***** Deleting existing jobs/triggers *****");
            //sched.Clear();

            Console.WriteLine("------- Initialization Complete -----------");

            Console.WriteLine("------- Scheduling Jobs ------------------");

            string schedId = sched.SchedulerName; //sched.SchedulerInstanceId;

            int count = 1;

            IJobDetail job = JobBuilder.Create<SimpleRecoveryJob>()
                .WithIdentity("job_" + count, schedId) // put triggers in group named after the cluster node instance just to distinguish (in logging) what was scheduled from where
                .RequestRecovery() // ask scheduler to re-execute this job if it was in progress when the scheduler went down...
                .Build();

            ISimpleTrigger trigger = (ISimpleTrigger)TriggerBuilder.Create()
                                                          .WithIdentity("triger_" + count, schedId)
                                                          .StartAt(DateBuilder.FutureDate(1, IntervalUnit.Second))
                                                          .WithSimpleSchedule(x => x.WithRepeatCount(1000).WithInterval(TimeSpan.FromSeconds(5)))
                                                          .Build();
            Console.WriteLine("{0} will run at: {1} and repeat: {2} times, every {3} seconds", job.Key, trigger.GetNextFireTimeUtc(), trigger.RepeatCount, trigger.RepeatInterval.TotalSeconds);
            sched.ScheduleJob(job, trigger);

            count++;

            job = JobBuilder.Create<SimpleRecoveryJob>()
                .WithIdentity("job_" + count, schedId) // put triggers in group named after the cluster node instance just to distinguish (in logging) what was scheduled from where
                .RequestRecovery() // ask scheduler to re-execute this job if it was in progress when the scheduler went down...
                .Build();

            trigger = (ISimpleTrigger)TriggerBuilder.Create()
                                           .WithIdentity("triger_" + count, schedId)
                                           .StartAt(DateBuilder.FutureDate(2, IntervalUnit.Second))
                                           .WithSimpleSchedule(x => x.WithRepeatCount(1000).WithInterval(TimeSpan.FromSeconds(5)))
                                           .Build();

            Console.WriteLine(string.Format("{0} will run at: {1} and repeat: {2} times, every {3} seconds", job.Key, trigger.GetNextFireTimeUtc(), trigger.RepeatCount, trigger.RepeatInterval.TotalSeconds));
            sched.ScheduleJob(job, trigger);
            // jobs don't start firing until start() has been called...
            Console.WriteLine("------- Starting Scheduler ---------------");
            sched.Start();
            Console.WriteLine("------- Started Scheduler ----------------");

            Console.WriteLine("------- Waiting for one hour... ----------");

            Thread.Sleep(TimeSpan.FromHours(1));

            Console.WriteLine("------- Shutting Down --------------------");
            sched.Shutdown();
            Console.WriteLine("------- Shutdown Complete ----------------");
        }

测试添加两个job,每隔5s执行一次。

在图中可以看到：job1和job2不会重复执行，当我停了Job2时，job2也在job1当中运行。

这样就可以实现分布式部署时的问题了，Quzrtz.net的数据库结构随便网上找一下，运行一些就好了。

截取几个数据库的数据图：基本上就存储了一些这样的信息

JobDetail

触发器的数据

这个是调度器的

这个是锁的

下一期：

1.Job的介绍：有状态Job，无状态Job。

2.MisFire

3.Trigger,Cron介绍

4.第一部分的改造，自己实现一个基于在HostedService能够进行分布式调度的Job类，其实只要实现了这个，其他的上面讲的都没有问题。弃用Quartz的表的行级锁。因为这并发高了比较慢！！

个人问题

个人还是没有测试出来这个RequestRecovery。怎么用过的！！