作者:鱼仔
博客首页: codeease.top
公众号:Java鱼仔
前言
前面两篇文章介绍了执行器和调度器的初始化流程，这篇文章将一起来看一下任务是如何被触发的。
源码分析
不管是主动触发执行还是被动触发执行，都会进入到JobInfoController 中的triggerJob 方法
JobInfoController
在这个接口中，首先会判断 executorParam 是否为 null，如果是 null 的话就设置executorParam参数为空，接着触发 JobTriggerPoolHelper 的 trigger 方法。
java
@RequestMapping("/trigger")
@ResponseBody
//@PermissionLimit(limit = false)
public ReturnT<String> triggerJob(int id, String executorParam, String addressList) {
// force cover job param
if (executorParam == null) {
executorParam = "";
}
JobTriggerPoolHelper.trigger(id, TriggerTypeEnum.MANUAL, -1, null, executorParam, addressList);
return ReturnT.SUCCESS;
}JobTriggerPoolHelper
进入trigger方法后会进入到addTrigger方法内，这个方法做了两个事情，第一按执行耗时，将任务分到快线程池和或者慢线程池。第二件事情是触发 XxlJobTrigger.trigger 来执行任务。
java
public void addTrigger(final int jobId,
final TriggerTypeEnum triggerType,
final int failRetryCount,
final String executorShardingParam,
final String executorParam,
final String addressList) {
// choose thread pool
// 刚开始所有任务都放到Fast线程池内，如果任务执行时间大于500ms的次数大于10次，就放入Slow线程池中
ThreadPoolExecutor triggerPool_ = fastTriggerPool;
AtomicInteger jobTimeoutCount = jobTimeoutCountMap.get(jobId);
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 {
// do trigger
// 调用 XxlJobTrigger.trigger 方法来触发作业执行，传递相应的参数。
XxlJobTrigger.trigger(jobId, triggerType, failRetryCount, executorShardingParam, executorParam, addressList);
} catch (Exception e) {
logger.error(e.getMessage(), e);
} finally {
// check timeout-count-map
// 获取当前分钟对应的时间戳，并与之前记录的分钟时间戳 minTim 进行比较。如果不一致，表示进入了新的一分钟，清空超时计数映射表。
long minTim_now = System.currentTimeMillis()/60000;
if (minTim != minTim_now) {
minTim = minTim_now;
jobTimeoutCountMap.clear();
}
// incr timeout-count-map
// 对于单次执行时间超过500ms的任务，jobTimeoutCountMap 增加一次计数
long cost = System.currentTimeMillis()-start;
if (cost > 500) { // ob-timeout threshold 500ms
AtomicInteger timeoutCount = jobTimeoutCountMap.putIfAbsent(jobId, new AtomicInteger(1));
if (timeoutCount != null) {
timeoutCount.incrementAndGet();
}
}
}
}
});XxlJobTrigger
在trigger方法中，会根据传入的参数做一系列的初始化，然后执行processTrigger方法进行任务的触发。
java
public static void trigger(int jobId,
TriggerTypeEnum triggerType,
int failRetryCount,
String executorShardingParam,
String executorParam,
String addressList) {
// load data
// 根据 jobId 获取 XxlJobInfo 信息
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);
}
// 如果传入的失败重试次数 failRetryCount 大于等于0，则将其作为最终的失败重试次数。否则使用作业信息中配置的执行失败重试次数。
int finalFailRetryCount = failRetryCount>=0?failRetryCount:jobInfo.getExecutorFailRetryCount();
XxlJobGroup group = XxlJobAdminConfig.getAdminConfig().getXxlJobGroupDao().load(jobInfo.getJobGroup());
// cover addressList
// 如果传入的地址列表 addressList 不为null且不为空字符串，则将作业组的地址类型设置为1(手动录入)，地址列表设置为传入的地址列表。
if (addressList!=null && addressList.trim().length()>0) {
group.setAddressType(1);
group.setAddressList(addressList.trim());
}
// 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]);
}
}
// 如果分片策略为分片广播（SHARDING_BROADCAST），并且任务组的注册地址列表不为空且不为空集合，并且 shardingParam 为null，则遍历注册地址列表触发任务
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++) {
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]);
}
}processTrigger方法主要作用是处理触发作业执行的逻辑。它初始化触发参数，确定执行器地址，触发执行器执行作业，并记录触发信息和日志。
java
private static void processTrigger(XxlJobGroup group, XxlJobInfo jobInfo, int finalFailRetryCount, TriggerTypeEnum triggerType, int index, int total){
// param
// 阻塞策略
ExecutorBlockStrategyEnum blockStrategy = ExecutorBlockStrategyEnum.match(jobInfo.getExecutorBlockStrategy(), ExecutorBlockStrategyEnum.SERIAL_EXECUTION); // block strategy
// 路由策略
ExecutorRouteStrategyEnum executorRouteStrategyEnum = ExecutorRouteStrategyEnum.match(jobInfo.getExecutorRouteStrategy(), null); // route strategy
// 分片参数
String shardingParam = (ExecutorRouteStrategyEnum.SHARDING_BROADCAST==executorRouteStrategyEnum)?String.valueOf(index).concat("/").concat(String.valueOf(total)):null;
// 1、save log-id
// 保存 XxlJobLog 日志信息
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
// 设置触发参数
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.setLogDateTime(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
// 根据不同的策略，确定执行器的地址
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 {
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
// 根据上一步确定的地址以及执行器参数，调用 runExecutor 方法，向远程执行器触发执行作业
ReturnT<String> triggerResult = null;
if (address != null) {
triggerResult = runExecutor(triggerParam, address);
} else {
triggerResult = new ReturnT<String>(ReturnT.FAIL_CODE, null);
}
// 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
// 更新作业日志的触发信息，包括执行器地址、执行器处理器、执行器参数、执行器分片参数、失败重试次数
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());
}在上面这个方法中，通过runExecutor(triggerParam, address)触发任务的执行。在这个runExecutor方法中，通过RPC的方式找到对应地址的执行器，调用执行器的run方法。并将调用的结果返回。
java
public static ReturnT<String> runExecutor(TriggerParam triggerParam, String address){
ReturnT<String> runResult = null;
try {
// 通过RPC的方式找到对应地址的执行器，调用执行器的run方法
ExecutorBiz executorBiz = XxlJobScheduler.getExecutorBiz(address);
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));
}
// 拼接调度返回结果
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;
}ExecutorBizImpl
executorBiz.run(triggerParam)，会根据传入的条件构建出IJobHandler和JobThread，最终将JobThread传入TriggerQueue等待触发。具体的细节流程我都在代码里加上中文注释了。
java
@Override
public ReturnT<String> run(TriggerParam triggerParam) {
// load old：jobHandler + jobThread
// 根据传入的JobId，加载旧的jobHandler和jobThread（如果一个任务已经执行过一次，会存入jobThreadRepository这个本地的Map里）
JobThread jobThread = XxlJobExecutor.loadJobThread(triggerParam.getJobId());
IJobHandler jobHandler = jobThread!=null?jobThread.getHandler():null;
String removeOldReason = null;
// valid：jobHandler + jobThread
// 根据不同的GlueType，构建不同的IJobHandler
GlueTypeEnum glueTypeEnum = GlueTypeEnum.match(triggerParam.getGlueType());
// 如果触发参数中的 Glue 类型为 BEAN
if (GlueTypeEnum.BEAN == glueTypeEnum) {
// new jobhandler
IJobHandler newJobHandler = XxlJobExecutor.loadJobHandler(triggerParam.getExecutorHandler());
// 校验jobThread是否存在且jobHandler是否与新的jobHandler相同。如果不相同，将jobThread和jobHandler设置为 null
// valid old jobThread
if (jobThread!=null && jobHandler != newJobHandler) {
// change handler, need kill old thread
removeOldReason = "change jobhandler or glue type, and terminate the old job thread.";
jobThread = null;
jobHandler = null;
}
// valid handler
// 如果jobHandler是null，就给jobHandler赋值为新的jobHandler
if (jobHandler == null) {
jobHandler = newJobHandler;
if (jobHandler == null) {
return new ReturnT<String>(ReturnT.FAIL_CODE, "job handler [" + triggerParam.getExecutorHandler() + "] not found.");
}
}
} else if (GlueTypeEnum.GLUE_GROOVY == glueTypeEnum) {
// valid old jobThread
// 校验jobThread是否存在且JobHandler是否是 GlueJobHandler 类型且 Glue 更新时间与触发参数中的 Glue 更新时间相同
if (jobThread != null &&
!(jobThread.getHandler() instanceof GlueJobHandler
&& ((GlueJobHandler) jobThread.getHandler()).getGlueUpdatetime()==triggerParam.getGlueUpdatetime() )) {
// change handler or gluesource updated, need kill old thread
removeOldReason = "change job source or glue type, and terminate the old job thread.";
jobThread = null;
jobHandler = null;
}
// 如果jobHandler是null，创建一个新的 GlueJobHandler
if (jobHandler == null) {
try {
IJobHandler originJobHandler = GlueFactory.getInstance().loadNewInstance(triggerParam.getGlueSource());
jobHandler = new GlueJobHandler(originJobHandler, triggerParam.getGlueUpdatetime());
} catch (Exception e) {
logger.error(e.getMessage(), e);
return new ReturnT<String>(ReturnT.FAIL_CODE, e.getMessage());
}
}
} else if (glueTypeEnum!=null && glueTypeEnum.isScript()) {
// valid old jobThread
// 校验jobThread是否存在且JobHandler是否是 ScriptJobHandler 类型且 Glue 更新时间与触发参数中的 Glue 更新时间相同
if (jobThread != null &&
!(jobThread.getHandler() instanceof ScriptJobHandler
&& ((ScriptJobHandler) jobThread.getHandler()).getGlueUpdatetime()==triggerParam.getGlueUpdatetime() )) {
// change script or gluesource updated, need kill old thread
removeOldReason = "change job source or glue type, and terminate the old job thread.";
jobThread = null;
jobHandler = null;
}
// 如果jobHandler是null，创建一个新的 ScriptJobHandler
if (jobHandler == null) {
jobHandler = new ScriptJobHandler(triggerParam.getJobId(), triggerParam.getGlueUpdatetime(), triggerParam.getGlueSource(), GlueTypeEnum.match(triggerParam.getGlueType()));
}
} else {
return new ReturnT<String>(ReturnT.FAIL_CODE, "glueType[" + triggerParam.getGlueType() + "] is not valid.");
}
// executor block strategy
// 判断阻塞策略
if (jobThread != null) {
ExecutorBlockStrategyEnum blockStrategy = ExecutorBlockStrategyEnum.match(triggerParam.getExecutorBlockStrategy(), null);
// 如果阻塞策略为 DISCARD_LATER 并且jobThread正在运行或在触发队列中，则返回错误信息
if (ExecutorBlockStrategyEnum.DISCARD_LATER == blockStrategy) {
// discard when running
if (jobThread.isRunningOrHasQueue()) {
return new ReturnT<String>(ReturnT.FAIL_CODE, "block strategy effect："+ExecutorBlockStrategyEnum.DISCARD_LATER.getTitle());
}
// 如果阻塞策略为 COVER_EARLY 并且任务线程正在运行或有队列，则终止旧的任务线程，并将任务线程设置为 null
} else if (ExecutorBlockStrategyEnum.COVER_EARLY == blockStrategy) {
// kill running jobThread
if (jobThread.isRunningOrHasQueue()) {
removeOldReason = "block strategy effect：" + ExecutorBlockStrategyEnum.COVER_EARLY.getTitle();
jobThread = null;
}
} else {
// just queue trigger
}
}
// replace thread (new or exists invalid)
// 如果任务线程为null，注册一个新的任务线程
if (jobThread == null) {
jobThread = XxlJobExecutor.registJobThread(triggerParam.getJobId(), jobHandler, removeOldReason);
}
// push data to queue
// 将触发参数推送到任务线程的触发队列中，等待执行
ReturnT<String> pushResult = jobThread.pushTriggerQueue(triggerParam);
return pushResult;
}JobThread
在上面这个方法中，最终会把triggerParam放入TriggerQueue中，那么真正的任务执行是在哪里呢？还是看上面这段代码，XxlJobExecutor.registJobThread这个方法中，注册了一个新的jobThread，并且通过start方法启动了这个线程。
java
public static JobThread registJobThread(int jobId, IJobHandler handler, String removeOldReason){
// 新建了一个 JobThread ，并且通过start方法启动
JobThread newJobThread = new JobThread(jobId, handler);
newJobThread.start();
logger.info(">>>>>>>>>>> xxl-job regist JobThread success, jobId:{}, handler:{}", new Object[]{jobId, handler});
JobThread oldJobThread = jobThreadRepository.put(jobId, newJobThread); // putIfAbsent | oh my god, map's put method return the old value!!!
if (oldJobThread != null) {
oldJobThread.toStop(removeOldReason);
oldJobThread.interrupt();
}
return newJobThread;
}调用了线程的start方法之后，JobThread的run方法就开始执行。
java
@Override
public void run() {
// init
// 如果IJobHandler有初始化方法的话，就执行初始化方法
try {
handler.init();
} catch (Throwable e) {
logger.error(e.getMessage(), e);
}
// execute
while(!toStop){
running = false;
idleTimes++;
TriggerParam triggerParam = null;
try {
// to check toStop signal, we need cycle, so wo cannot use queue.take(), instand of poll(timeout)
// 从 triggerQueue 中获取 TriggerParam 对象，使用 poll 方法，最多等待 3 秒。如果获取到了 TriggerParam 对象，说明有任务需要执行
triggerParam = triggerQueue.poll(3L, TimeUnit.SECONDS);
if (triggerParam!=null) {
running = true;
idleTimes = 0;
triggerLogIdSet.remove(triggerParam.getLogId());
// log filename, like "logPath/yyyy-MM-dd/9999.log"
String logFileName = XxlJobFileAppender.makeLogFileName(new Date(triggerParam.getLogDateTime()), triggerParam.getLogId());
// 构建XxlJobContext上下文对象
XxlJobContext xxlJobContext = new XxlJobContext(
triggerParam.getJobId(),
triggerParam.getExecutorParams(),
logFileName,
triggerParam.getBroadcastIndex(),
triggerParam.getBroadcastTotal());
// init job context
XxlJobContext.setXxlJobContext(xxlJobContext);
// execute
XxlJobHelper.log("<br>----------- xxl-job job execute start -----------<br>----------- Param:" + xxlJobContext.getJobParam());
// 如果任务设置了超时时间，则通过创建一个 FutureTask，在另一个线程中执行任务，并设置超时时间进行限制。
if (triggerParam.getExecutorTimeout() > 0) {
// limit timeout
Thread futureThread = null;
try {
FutureTask<Boolean> futureTask = new FutureTask<Boolean>(new Callable<Boolean>() {
@Override
public Boolean call() throws Exception {
// init job context
XxlJobContext.setXxlJobContext(xxlJobContext);
// 通过该方法真正执行任务
handler.execute();
return true;
}
});
futureThread = new Thread(futureTask);
futureThread.start();
Boolean tempResult = futureTask.get(triggerParam.getExecutorTimeout(), TimeUnit.SECONDS);
} catch (TimeoutException e) {
// 如果超时了，就会进入到catch方法内
XxlJobHelper.log("<br>----------- xxl-job job execute timeout");
XxlJobHelper.log(e);
// handle result
XxlJobHelper.handleTimeout("job execute timeout ");
} finally {
futureThread.interrupt();
}
} else {
// just execute
// 如果没有设置超时时间，直接执行任务
handler.execute();
}
// valid execute handle data
// 如果任务执行失败或结果丢失，调用 XxlJobHelper.handleFail() 方法进行处理。
// 如果任务执行成功，记录执行结果信息。
if (XxlJobContext.getXxlJobContext().getHandleCode() <= 0) {
XxlJobHelper.handleFail("job handle result lost.");
} else {
String tempHandleMsg = XxlJobContext.getXxlJobContext().getHandleMsg();
tempHandleMsg = (tempHandleMsg!=null&&tempHandleMsg.length()>50000)
?tempHandleMsg.substring(0, 50000).concat("...")
:tempHandleMsg;
XxlJobContext.getXxlJobContext().setHandleMsg(tempHandleMsg);
}
XxlJobHelper.log("<br>----------- xxl-job job execute end(finish) -----------<br>----------- Result: handleCode="
+ XxlJobContext.getXxlJobContext().getHandleCode()
+ ", handleMsg = "
+ XxlJobContext.getXxlJobContext().getHandleMsg()
);
} else {
// 空闲次数计数器 idleTimes。如果 idleTimes 达到阈值（30 次），相当于有30次都没有执行对应的任务，就从执行器缓存中删除这个任务
if (idleTimes > 30) {
if(triggerQueue.size() == 0) { // avoid concurrent trigger causes jobId-lost
XxlJobExecutor.removeJobThread(jobId, "excutor idel times over limit.");
}
}
}
} catch (Throwable e) {
// 如果进入catch代码块内，记录异常信息
if (toStop) {
XxlJobHelper.log("<br>----------- JobThread toStop, stopReason:" + stopReason);
}
// handle result
StringWriter stringWriter = new StringWriter();
e.printStackTrace(new PrintWriter(stringWriter));
String errorMsg = stringWriter.toString();
XxlJobHelper.handleFail(errorMsg);
XxlJobHelper.log("<br>----------- JobThread Exception:" + errorMsg + "<br>----------- xxl-job job execute end(error) -----------");
} finally {
if(triggerParam != null) {
// callback handler info
// 如果任务线程未被停止，将推送回调信息 push 到 TriggerCallbackThread
if (!toStop) {
// commonm
TriggerCallbackThread.pushCallBack(new HandleCallbackParam(
triggerParam.getLogId(),
triggerParam.getLogDateTime(),
XxlJobContext.getXxlJobContext().getHandleCode(),
XxlJobContext.getXxlJobContext().getHandleMsg() )
);
} else {
// is killed
// 如果任务线程被停止，则推送线程停止信息到回调线程
TriggerCallbackThread.pushCallBack(new HandleCallbackParam(
triggerParam.getLogId(),
triggerParam.getLogDateTime(),
XxlJobContext.HANDLE_CODE_FAIL,
stopReason + " [job running, killed]" )
);
}
}
}
}
// callback trigger request in queue
// 如果线程被停止后触发队列不为空，则推送线程停止信息到回调线程
while(triggerQueue !=null && triggerQueue.size()>0){
TriggerParam triggerParam = triggerQueue.poll();
if (triggerParam!=null) {
// is killed
TriggerCallbackThread.pushCallBack(new HandleCallbackParam(
triggerParam.getLogId(),
triggerParam.getLogDateTime(),
XxlJobContext.HANDLE_CODE_FAIL,
stopReason + " [job not executed, in the job queue, killed.]")
);
}
}
// destroy
// 如果执行器配置了destroyMethod方法，就执行对应的destroyMethod方法
try {
handler.destroy();
} catch (Throwable e) {
logger.error(e.getMessage(), e);
}
logger.info(">>>>>>>>>>> xxl-job JobThread stoped, hashCode:{}", Thread.currentThread());
}真正执行是在handler.execute(); execute方法通过反射，执行目标方法。
java
@Override
public void execute() throws Exception {
Class<?>[] paramTypes = method.getParameterTypes();
if (paramTypes.length > 0) {
method.invoke(target, new Object[paramTypes.length]); // method-param can not be primitive-types
} else {
method.invoke(target);
}
}总结
这篇文章主要介绍了XXL-JOB在任务执行时相关的源码信息，结合前两章一起看，相信你可以对XXL-JOB有不一样的认识。