方法链路
在阅读整个代码流程前，先罗列一下整个调度过程经过的主要类和方法：
xxl-job-admin（调度器项目）->XxlJobScheduler.afterPropertiesSet()->JobScheduleHelper.getInstance().start()->JobTriggerPoolHelper.trigger()->JobTriggerPoolHelper.addTrigger()->XxlJobTrigger.trigger()->processTrigger()->runExecutor()。runExecutor方法中通过代理及netty请求，返回执行结果。
具体源码
直接从管理器Admin中的配置文类XxlJobScheduler.java开始，源码如下：
@Override
public void afterPropertiesSet() throws Exception {
// init i18n
initI18n();
//执行器地址信息维护，比如删除失效的
// admin registry monitor run
JobRegistryMonitorHelper.getInstance().start();
//查询执行失败，并且根据配置，进行告警
// admin monitor run
JobFailMonitorHelper.getInstance().start();
//初始化管理器RPC工厂，并且指定管理器中/api实现类，给executor调用做准备
// admin-server
initRpcProvider();
//启动admin中的调度器
//start-schedule
JobScheduleHelper.getInstance().start();
logger.info(">>>>>>>>> init xxl-job admin success.");
}
JobScheduleHelper.getInstance().start() 就是管理器的调度入口，接着查看调度器中具体内容，
// schedule thread
scheduleThread = new Thread(new Runnable() {
@Override
public void run() {
try {
//针对多个节点，防止调度器出现并发调度一个任务，调度器执行频率控制，最长睡眠5秒，最短4秒多点，即(5000-999)毫秒
//如A节点的调度器刚启动，并且获取一个任务，然后加锁，如果同时B节点也启动，也获取到这个任务，防止重复调用，随机睡眠
TimeUnit.MILLISECONDS.sleep(5000 - System.currentTimeMillis()%1000 );
} catch (InterruptedException e) {
if (!scheduleThreadToStop) {
logger.error(e.getMessage(), e);
}
}
logger.info(">>>>>>>>> init xxl-job admin scheduler success.");
while (!scheduleThreadToStop) {
// Scan Job
long start = System.currentTimeMillis();
Connection conn = null;
Boolean connAutoCommit = null;
PreparedStatement preparedStatement = null;
boolean preReadSuc = true;
try {
conn = XxlJobAdminConfig.getAdminConfig().getDataSource().getConnection();
connAutoCommit = conn.getAutoCommit();
conn.setAutoCommit(false);
//锁定资源
preparedStatement = conn.prepareStatement( "select * from xxl_job_lock where lock_name = 'schedule_lock' for update" );
preparedStatement.execute();
// tx start
// 1、pre read
long nowTime = System.currentTimeMillis();
//获取5秒内状态为正常运行的任务
List<XxlJobInfo> scheduleList = XxlJobAdminConfig.getAdminConfig().getXxlJobInfoDao().scheduleJobQuery(nowTime + PRE_READ_MS);
if (scheduleList!=null && scheduleList.size()>0) {
// 2、push time-ring
for (XxlJobInfo jobInfo: scheduleList) {
//这里的触发时间处理，用一个时间横轴就比较好理解
//当前时间已经超过触发时间+5秒，不调度，直接计算下次调度时间，对应时间段A
// time-ring jump
if (nowTime > jobInfo.getTriggerNextTime() + PRE_READ_MS) {
// 2.1、trigger-expire > 5s：pass && make next-trigger-time
// fresh next
Date nextValidTime = new CronExpression(jobInfo.getJobCron()).getNextValidTimeAfter(new Date());
if (nextValidTime != null) {
jobInfo.setTriggerLastTime(jobInfo.getTriggerNextTime());
jobInfo.setTriggerNextTime(nextValidTime.getTime());
} else {
jobInfo.setTriggerStatus(0);
jobInfo.setTriggerLastTime(0);
jobInfo.setTriggerNextTime(0);
}
//当前时间已超过调度时间，但超过时间在5秒内，直接触发调度，并且更新下次调度时间，即触发时间在当前时间前5秒内
//对应时间段B
} else if (nowTime > jobInfo.getTriggerNextTime()) {
// 2.2、trigger-expire < 5s：direct-trigger && make next-trigger-time
CronExpression cronExpression = new CronExpression(jobInfo.getJobCron());
long nextTime = cronExpression.getNextValidTimeAfter(new Date()).getTime();
// 1、trigger
//将任务放到触发线程池中
JobTriggerPoolHelper.trigger(jobInfo.getId(), TriggerTypeEnum.CRON, -1, null, null);
logger.debug(">>>>>>>>>>> xxl-job, shecule push trigger : jobId = " + jobInfo.getId() );
// 2、fresh next
jobInfo.setTriggerLastTime(jobInfo.getTriggerNextTime());
jobInfo.setTriggerNextTime(nextTime);
//如果下次触发时间在当前时间之后的5秒内，并且将这个时间段的任务单独放在ringThread线程中处理，即触发时间在当前时间的后5秒内
//特别处理当前时间之后的5秒内，是因为本循环最长5秒循环一次，防止有漏掉的定时任务,对应时间段D
//注：scheduleThread和ringThread两个线程的执行评率不一样
// next-trigger-time in 5s, pre-read again
if (jobInfo.getTriggerNextTime() - nowTime < PRE_READ_MS) {
// 1、make ring second
//此处计算出的ringSecond的值范围是0-59
int ringSecond = (int)((jobInfo.getTriggerNextTime()/1000)%60);
//将job放入ringThread线程
// 2、push time ring
pushTimeRing(ringSecond, jobInfo.getId());
// 3、fresh next
Date nextValidTime = new CronExpression(jobInfo.getJobCron()).getNextValidTimeAfter(new Date(jobInfo.getTriggerNextTime()));
if (nextValidTime != null) {
jobInfo.setTriggerLastTime(jobInfo.getTriggerNextTime());
jobInfo.setTriggerNextTime(nextValidTime.getTime());
} else {
jobInfo.setTriggerStatus(0);
jobInfo.setTriggerLastTime(0);
jobInfo.setTriggerNextTime(0);
}
}
} else {//处理下次执行时间在当前之后的时间,对应时间段C
// 2.3、trigger-pre-read：time-ring trigger && make next-trigger-time
//该处ringSecond计算的值为0-59秒，
// 1、make ring second
int ringSecond = (int)((jobInfo.getTriggerNextTime()/1000)%60);
// 2、push time ring
pushTimeRing(ringSecond, jobInfo.getId());
// 3、fresh next
Date nextValidTime = new CronExpression(jobInfo.getJobCron()).getNextValidTimeAfter(new Date(jobInfo.getTriggerNextTime()));
if (nextValidTime != null) {
jobInfo.setTriggerLastTime(jobInfo.getTriggerNextTime());
jobInfo.setTriggerNextTime(nextValidTime.getTime());
} else {
jobInfo.setTriggerStatus(0);
jobInfo.setTriggerLastTime(0);
jobInfo.setTriggerNextTime(0);
}
}
}
// 3、update trigger info
for (XxlJobInfo jobInfo: scheduleList) {
XxlJobAdminConfig.getAdminConfig().getXxlJobInfoDao().scheduleUpdate(jobInfo);
}
} else {
preReadSuc = false;
}
// tx stop
} catch (Exception e) {
if (!scheduleThreadToStop) {
logger.error(">>>>>>>>>>> xxl-job, JobScheduleHelper#scheduleThread error:{}", e);
}
} finally {
// commit
if (conn != null) {
try {
conn.commit();
} catch (SQLException e) {
if (!scheduleThreadToStop) {
logger.error(e.getMessage(), e);
}
}
try {
conn.setAutoCommit(connAutoCommit);
} catch (SQLException e) {
if (!scheduleThreadToStop) {
logger.error(e.getMessage(), e);
}
}
try {
conn.close();
} catch (SQLException e) {
if (!scheduleThreadToStop) {
logger.error(e.getMessage(), e);
}
}
}
// close PreparedStatement
if (null != preparedStatement) {
try {
preparedStatement.close();
} catch (SQLException ignore) {
if (!scheduleThreadToStop) {
logger.error(ignore.getMessage(), ignore);
}
}
}
}
long cost = System.currentTimeMillis()-start;
// Wait seconds, align second
if (cost < 1000) { // scan-overtime, not wait
try {
//preReadSuc 有5秒内正常运行的任务，则睡眠一秒以内，没有则睡眠5-(0至999)秒
// pre-read period: success > scan each second; fail > skip this period;
TimeUnit.MILLISECONDS.sleep((preReadSuc?1000:PRE_READ_MS) - System.currentTimeMillis()%1000);
} catch (InterruptedException e) {
if (!scheduleThreadToStop) {
logger.error(e.getMessage(), e);
}
}
}
}
logger.info(">>>>>>>>>>> xxl-job, JobScheduleHelper#scheduleThread stop");
}
});
时间轴如下：
image.png
接着看每秒扫描一次的调度线程
//此线程是处理当前时间以后在每秒时是否有定时任务，有则直接启动，
// ring thread
ringThread = new Thread(new Runnable() {
@Override
public void run() {
// align second
try {
TimeUnit.MILLISECONDS.sleep(1000 - System.currentTimeMillis()%1000 );
} catch (InterruptedException e) {
if (!ringThreadToStop) {
logger.error(e.getMessage(), e);
}
}
while (!ringThreadToStop) {
try {
// second data
List<Integer> ringItemData = new ArrayList<>();
// 避免处理耗时太长，跨过刻度，向前校验一个刻度；如果有的话，需要重新取回
int nowSecond = Calendar.getInstance().get(Calendar.SECOND);
for (int i = 0; i < 2; i++) {
List<Integer> tmpData = ringData.remove( (nowSecond+60-i)%60 );
if (tmpData != null) {
ringItemData.addAll(tmpData);
}
}
// ring trigger
logger.debug(">>>>>>>>>>> xxl-job, time-ring beat : " + nowSecond + " = " + Arrays.asList(ringItemData) );
if (ringItemData!=null && ringItemData.size()>0) {
// do trigger
for (int jobId: ringItemData) {
// do trigger
JobTriggerPoolHelper.trigger(jobId, TriggerTypeEnum.CRON, -1, null, null);
}
// clear
ringItemData.clear();
}
} catch (Exception e) {
if (!ringThreadToStop) {
logger.error(">>>>>>>>>>> xxl-job, JobScheduleHelper#ringThread error:{}", e);
}
}
// next second, align second
try {
//睡眠1秒以内
TimeUnit.MILLISECONDS.sleep(1000 - System.currentTimeMillis()%1000);
} catch (InterruptedException e) {
if (!ringThreadToStop) {
logger.error(e.getMessage(), e);
}
}
}
logger.info(">>>>>>>>>>> xxl-job, JobScheduleHelper#ringThread stop");
}
});
上面两个调度线程，触发任务时，都是通过trigger方法触发
JobTriggerPoolHelper.trigger(jobId, TriggerTypeEnum.CRON, -1, null, null);
接着看触发器JobTriggerPoolHelper.java,触发器中定义了一个快线程池和一个慢线程池，两个线程池只是线程池大小和任务缓存队列大小稍有不同，slowTriggerPool线程执行那种一分钟内，慢执行超过10次（执行时间超过500毫秒）的任务，其他任务则使用fastTriggerPool 线程池执行，具体线程池定义如下：
// fast/slow thread pool
private ThreadPoolExecutor fastTriggerPool = new ThreadPoolExecutor(
50,
200,
60L,
TimeUnit.SECONDS,
new LinkedBlockingQueue<Runnable>(1000),
new ThreadFactory() {
@Override
public Thread newThread(Runnable r) {
return new Thread(r, "xxl-job, admin JobTriggerPoolHelper-fastTriggerPool-" + r.hashCode());
}
});
private ThreadPoolExecutor slowTriggerPool = new ThreadPoolExecutor(
10,
100,
60L,
TimeUnit.SECONDS,
new LinkedBlockingQueue<Runnable>(2000),
new ThreadFactory() {
@Override
public Thread newThread(Runnable r) {
return new Thread(r, "xxl-job, admin JobTriggerPoolHelper-slowTriggerPool-" + r.hashCode());
}
});
具体看线程池中执行任务的策略
/**
* 线程池执行任务，及任务转变为慢线程策略
* add trigger
*/
public void addTrigger(final int jobId, final TriggerTypeEnum triggerType, final int failRetryCount, final String executorShardingParam, final String executorParam) {
// choose thread pool
ThreadPoolExecutor triggerPool_ = fastTriggerPool;
AtomicInteger jobTimeoutCount = jobTimeoutCountMap.get(jobId);
//一分钟内，慢执行超过10次，则使用slowTriggerPool执行任务
if (jobTimeoutCount!=null && jobTimeoutCount.get() > 10) { // job-timeout 10 times in 1 min
triggerPool_ = slowTriggerPool;
}
// trigger
triggerPool_.execute(new Runnable() {
@Override
public void run() {
long start = System.currentTimeMillis();
try {
//具体任务触发
// do trigger
XxlJobTrigger.trigger(jobId, triggerType, failRetryCount, executorShardingParam, executorParam);
} catch (Exception e) {
logger.error(e.getMessage(), e);
} finally {
// check timeout-count-map
long minTim_now = System.currentTimeMillis()/60000;
//每分钟清理一次jobTimeoutCountMap，这个简单实用达到一分钟内计数的目的
if (minTim != minTim_now) {
minTim = minTim_now;
jobTimeoutCountMap.clear();
}
//一分钟类执行时间超过500毫秒，则将任务用慢的线程池执行
// incr timeout-count-map
long cost = System.currentTimeMillis()-start;
if (cost > 500) {
//执行时间超过500毫秒，则jobTimeoutCountMap中当前任务慢情况加1
// ob-timeout threshold 500ms
AtomicInteger timeoutCount = jobTimeoutCountMap.putIfAbsent(jobId, new AtomicInteger(1));
if (timeoutCount != null) {
timeoutCount.incrementAndGet();
}
}
}
}
});
}
接着看触发器XxlJobTrigger.trigger(jobId, triggerType, failRetryCount, executorShardingParam, executorParam)中的实现
public static void trigger(int jobId, TriggerTypeEnum triggerType, int failRetryCount, String executorShardingParam, String executorParam) {
// load data
XxlJobInfo jobInfo = XxlJobAdminConfig.getAdminConfig().getXxlJobInfoDao().loadById(jobId);
if (jobInfo == null) {
logger.warn(">>>>>>>>>>>> trigger fail, jobId invalid，jobId={}", jobId);
return;
}
if (executorParam != null) {
jobInfo.setExecutorParam(executorParam);
}
int finalFailRetryCount = failRetryCount>=0?failRetryCount:jobInfo.getExecutorFailRetryCount();
XxlJobGroup group = XxlJobAdminConfig.getAdminConfig().getXxlJobGroupDao().load(jobInfo.getJobGroup());
// sharding param
int[] shardingParam = null;
if (executorShardingParam!=null){
String[] shardingArr = executorShardingParam.split("/");
if (shardingArr.length==2 && isNumeric(shardingArr[0]) && isNumeric(shardingArr[1])) {
shardingParam = new int[2];
shardingParam[0] = Integer.valueOf(shardingArr[0]);
shardingParam[1] = Integer.valueOf(shardingArr[1]);
}
}
if (ExecutorRouteStrategyEnum.SHARDING_BROADCAST==ExecutorRouteStrategyEnum.match(jobInfo.getExecutorRouteStrategy(), null)
&& group.getRegistryList()!=null && !group.getRegistryList().isEmpty()
&& shardingParam==null) {
for (int i = 0; i < group.getRegistryList().size(); i++) {
//如果是路由是分片 广播，则将注册地址中的都触发一遍
processTrigger(group, jobInfo, finalFailRetryCount, triggerType, i, group.getRegistryList().size());
}
} else {
if (shardingParam == null) {
shardingParam = new int[]{0, 1};
}
processTrigger(group, jobInfo, finalFailRetryCount, triggerType, shardingParam[0], shardingParam[1]);
}
}
接着processTrigger方法
private static void processTrigger(XxlJobGroup group, XxlJobInfo jobInfo, int finalFailRetryCount, TriggerTypeEnum triggerType, int index, int total){
// param
//阻塞策略(eg:单机串行，丢弃后续调度，覆盖之前调度)
ExecutorBlockStrategyEnum blockStrategy = ExecutorBlockStrategyEnum.match(jobInfo.getExecutorBlockStrategy(), ExecutorBlockStrategyEnum.SERIAL_EXECUTION); // block strategy
//路由策略
ExecutorRouteStrategyEnum executorRouteStrategyEnum = ExecutorRouteStrategyEnum.match(jobInfo.getExecutorRouteStrategy(), null); // route strategy
String shardingParam = (ExecutorRouteStrategyEnum.SHARDING_BROADCAST==executorRouteStrategyEnum)?String.valueOf(index).concat("/").concat(String.valueOf(total)):null;
// 1、save log-id
XxlJobLog jobLog = new XxlJobLog();
jobLog.setJobGroup(jobInfo.getJobGroup());
jobLog.setJobId(jobInfo.getId());
jobLog.setTriggerTime(new Date());
XxlJobAdminConfig.getAdminConfig().getXxlJobLogDao().save(jobLog);
logger.debug(">>>>>>>>>>> xxl-job trigger start, jobId:{}", jobLog.getId());
// 2、init trigger-param
TriggerParam triggerParam = new TriggerParam();
triggerParam.setJobId(jobInfo.getId());
triggerParam.setExecutorHandler(jobInfo.getExecutorHandler());
triggerParam.setExecutorParams(jobInfo.getExecutorParam());
triggerParam.setExecutorBlockStrategy(jobInfo.getExecutorBlockStrategy());
triggerParam.setExecutorTimeout(jobInfo.getExecutorTimeout());
triggerParam.setLogId(jobLog.getId());
triggerParam.setLogDateTim(jobLog.getTriggerTime().getTime());
triggerParam.setGlueType(jobInfo.getGlueType());
triggerParam.setGlueSource(jobInfo.getGlueSource());
triggerParam.setGlueUpdatetime(jobInfo.getGlueUpdatetime().getTime());
triggerParam.setBroadcastIndex(index);
triggerParam.setBroadcastTotal(total);
// 3、init address
String address = null;
ReturnT<String> routeAddressResult = null;
if (group.getRegistryList()!=null && !group.getRegistryList().isEmpty()) {
if (ExecutorRouteStrategyEnum.SHARDING_BROADCAST == executorRouteStrategyEnum) {
if (index < group.getRegistryList().size()) {
address = group.getRegistryList().get(index);
} else {
address = group.getRegistryList().get(0);
}
} else {
//使用接口策略模式，获取到执行器地址
routeAddressResult = executorRouteStrategyEnum.getRouter().route(triggerParam, group.getRegistryList());
if (routeAddressResult.getCode() == ReturnT.SUCCESS_CODE) {
address = routeAddressResult.getContent();
}
}
} else {
routeAddressResult = new ReturnT<String>(ReturnT.FAIL_CODE, I18nUtil.getString("jobconf_trigger_address_empty"));
}
// 4、trigger remote executor
ReturnT<String> triggerResult = null;
if (address != null) {
//执行job
triggerResult = runExecutor(triggerParam, address);
} else {
triggerResult = new ReturnT<String>(ReturnT.FAIL_CODE, null);
}
//搜集日志信息,保存结果
// 5、collection trigger info
StringBuffer triggerMsgSb = new StringBuffer();
triggerMsgSb.append(I18nUtil.getString("jobconf_trigger_type")).append("：").append(triggerType.getTitle());
triggerMsgSb.append("<br>").append(I18nUtil.getString("jobconf_trigger_admin_adress")).append("：").append(IpUtil.getIp());
triggerMsgSb.append("<br>").append(I18nUtil.getString("jobconf_trigger_exe_regtype")).append("：")
.append( (group.getAddressType() == 0)?I18nUtil.getString("jobgroup_field_addressType_0"):I18nUtil.getString("jobgroup_field_addressType_1") );
triggerMsgSb.append("<br>").append(I18nUtil.getString("jobconf_trigger_exe_regaddress")).append("：").append(group.getRegistryList());
triggerMsgSb.append("<br>").append(I18nUtil.getString("jobinfo_field_executorRouteStrategy")).append("：").append(executorRouteStrategyEnum.getTitle());
if (shardingParam != null) {
triggerMsgSb.append("("+shardingParam+")");
}
triggerMsgSb.append("<br>").append(I18nUtil.getString("jobinfo_field_executorBlockStrategy")).append("：").append(blockStrategy.getTitle());
triggerMsgSb.append("<br>").append(I18nUtil.getString("jobinfo_field_timeout")).append("：").append(jobInfo.getExecutorTimeout());
triggerMsgSb.append("<br>").append(I18nUtil.getString("jobinfo_field_executorFailRetryCount")).append("：").append(finalFailRetryCount);
triggerMsgSb.append("<br><br><span style=\"color:#00c0ef;\" > >>>>>>>>>>>"+ I18nUtil.getString("jobconf_trigger_run") +"<<<<<<<<<<< </span><br>")
.append((routeAddressResult!=null&&routeAddressResult.getMsg()!=null)?routeAddressResult.getMsg()+"<br><br>":"").append(triggerResult.getMsg()!=null?triggerResult.getMsg():"");
// 6、save log trigger-info
jobLog.setExecutorAddress(address);
jobLog.setExecutorHandler(jobInfo.getExecutorHandler());
jobLog.setExecutorParam(jobInfo.getExecutorParam());
jobLog.setExecutorShardingParam(shardingParam);
jobLog.setExecutorFailRetryCount(finalFailRetryCount);
//jobLog.setTriggerTime();
jobLog.setTriggerCode(triggerResult.getCode());
jobLog.setTriggerMsg(triggerMsgSb.toString());
XxlJobAdminConfig.getAdminConfig().getXxlJobLogDao().updateTriggerInfo(jobLog);
logger.debug(">>>>>>>>>>> xxl-job trigger end, jobId:{}", jobLog.getId());
}
接着看runExecutor(triggerParam, address)方法
/**
* run executor
* @param triggerParam
* @param address
* @return
*/
public static ReturnT<String> runExecutor(TriggerParam triggerParam, String address){
ReturnT<String> runResult = null;
try {
//通过反射中的getObject和netty 调用到执行器的service中，
ExecutorBiz executorBiz = XxlJobScheduler.getExecutorBiz(address);
//通过netty直接调度到执行器的executorBiz.run()方法，并返回结果
runResult = executorBiz.run(triggerParam);
} catch (Exception e) {
logger.error(">>>>>>>>>>> xxl-job trigger error, please check if the executor[{}] is running.", address, e);
runResult = new ReturnT<String>(ReturnT.FAIL_CODE, ThrowableUtil.toString(e));
}
StringBuffer runResultSB = new StringBuffer(I18nUtil.getString("jobconf_trigger_run") + "：");
runResultSB.append("<br>address：").append(address);
runResultSB.append("<br>code：").append(runResult.getCode());
runResultSB.append("<br>msg：").append(runResult.getMsg());
runResult.setMsg(runResultSB.toString());
return runResult;
}
public static ExecutorBiz getExecutorBiz(String address) throws Exception {
// valid
if (address==null || address.trim().length()==0) {
return null;
}
// load-cache
address = address.trim();
ExecutorBiz executorBiz = executorBizRepository.get(address);
if (executorBiz != null) {
return executorBiz;
}
// set-cache
executorBiz = (ExecutorBiz) new XxlRpcReferenceBean(
NetEnum.NETTY_HTTP,
Serializer.SerializeEnum.HESSIAN.getSerializer(),
CallType.SYNC,
LoadBalance.ROUND,
ExecutorBiz.class,
null,
3000,
address,
XxlJobAdminConfig.getAdminConfig().getAccessToken(),
null,
null).getObject();
executorBizRepository.put(address, executorBiz);
return executorBiz;
}
在来看示列执行器xxl-job-executor-sample-springboot项目中的启动配置类中的一部分配置，XxlJobConfig->XxlJobSpringExecutor.start()->XxlJobExecutor->initRpcProvider().
XxlJobExecutor中的start()方法如下：
public void start() throws Exception {
//设置日志路径
// init logpath
XxlJobFileAppender.initLogPath(logPath);
//设置admin地址及执行器访问口令
// init invoker, admin-client
initAdminBizList(adminAddresses, accessToken);
//设置日志清理线程参数
// init JobLogFileCleanThread
JobLogFileCleanThread.getInstance().start(logRetentionDays);
//任务执行结果回调线程（包含回调失败后重试机制）
// init TriggerCallbackThread
TriggerCallbackThread.getInstance().start();
// init executor-server
//设置执行器ip和port
port = port>0?port: NetUtil.findAvailablePort(9999);
ip = (ip!=null&&ip.trim().length()>0)?ip: IpUtil.getIp();
//注册执行器及初始化执行器上面的netty服务器信息
initRpcProvider(ip, port, appName, accessToken);
}
进入initRpcProvider方法查看
private void initRpcProvider(String ip, int port, String appName, String accessToken) throws Exception {
// init, provider factory
String address = IpUtil.getIpPort(ip, port);
Map<String, String> serviceRegistryParam = new HashMap<String, String>();
serviceRegistryParam.put("appName", appName);
serviceRegistryParam.put("address", address);
xxlRpcProviderFactory = new XxlRpcProviderFactory();
//指定执行器注册类为ExecutorServiceRegistry
xxlRpcProviderFactory.initConfig(NetEnum.NETTY_HTTP, Serializer.SerializeEnum.HESSIAN.getSerializer(), ip, port, accessToken, ExecutorServiceRegistry.class, serviceRegistryParam);
//注册执行器上面的service,用来执行任务的入口
// add services
xxlRpcProviderFactory.addService(ExecutorBiz.class.getName(), null, new ExecutorBizImpl());
//启动执行器注册工厂
// start
xxlRpcProviderFactory.start();
}
initRpcProvider方法就只做了两件事情，第一是通过ExecutorServiceRegistry.java将执行器注册到调度器（这个属于将执行器注册到调度器内容，在另外一篇文章中有介绍（https://www.jianshu.com/p/247c6cf53dca）），第二件事情是初始化一个netty客户端，并且将ExecutorBiz的service实例注册到netty服务器中，供调度器调度任务时使用。
总结
本框架有多容易上手和牛掰，就不在此夸赞了，整条业务逻辑拜读完之后，收获蛮多，简单列举一下本次主要的收获；
1、对节点启动时防止并发做的微调睡眠控制；
2、废弃quartz框架，用6张表就实现定时器功能，
3、触发器采用两个线程，通过休眠频率不同，实现秒级触发
4、对慢任务的定义及转移执行
5、通过接口策略模式，获取执行器的路由地址
6、netty中自研RPC框架部分
