聊聊Powerjob的單機線程并發度
序
本文主要研究一下powerjob的單機線程并發度(threadConcurrency)
threadConcurrency
powerjob-worker/src/main/java/tech/powerjob/worker/pojo/model/InstanceInfo.java
@Data
public class InstanceInfo implements Serializable {
/**
* 基礎信息
*/
private Long jobId;
private Long instanceId;
private Long wfInstanceId;
/**
* 任務執行處理器信息
*/
// 任務執行類型,單機、廣播、MR
private String executeType;
// 處理器類型(JavaBean、Jar、腳本等)
private String processorType;
// 處理器信息
private String processorInfo;
// 定時類型
private int timeExpressionType;
/**
* 超時時間
*/
// 整個任務的總體超時時間
private long instanceTimeoutMS;
/**
* 任務運行參數
*/
// 任務級別的參數,相當于類的static變量
private String jobParams;
// 實例級別的參數,相當于類的普通變量
private String instanceParams;
// 每臺機器的處理線程數上限
private int threadConcurrency;
// 子任務重試次數(任務本身的重試機制由server控制)
private int taskRetryNum;
private String logConfig;
}
InstanceInfo定義了threadConcurrency,即每臺機器的處理線程數上限
maxDispatchNum
powerjob-worker/src/main/java/tech/powerjob/worker/core/tracker/task/heavy/HeavyTaskTracker.java
/**
* 定時掃描數據庫中的task(出于內存占用量考慮,每次最多獲取100個),并將需要執行的任務派發出去
*/
protected class Dispatcher implements Runnable {
// 數據庫查詢限制,每次最多查詢幾個任務
private static final int DB_QUERY_LIMIT = 100;
@Override
public void run() {
if (finished.get()) {
return;
}
Stopwatch stopwatch = Stopwatch.createStarted();
// 1. 獲取可以派發任務的 ProcessorTracker
List<String> availablePtIps = ptStatusHolder.getAvailableProcessorTrackers();
// 2. 沒有可用 ProcessorTracker,本次不派發
if (availablePtIps.isEmpty()) {
log.debug("[TaskTracker-{}] no available ProcessorTracker now.", instanceId);
return;
}
// 3. 避免大查詢,分批派發任務
long currentDispatchNum = 0;
long maxDispatchNum = availablePtIps.size() * instanceInfo.getThreadConcurrency() * 2L;
AtomicInteger index = new AtomicInteger(0);
// 4. 循環查詢數據庫,獲取需要派發的任務
while (maxDispatchNum > currentDispatchNum) {
int dbQueryLimit = Math.min(DB_QUERY_LIMIT, (int) maxDispatchNum);
List<TaskDO> needDispatchTasks = taskPersistenceService.getTaskByStatus(instanceId, TaskStatus.WAITING_DISPATCH, dbQueryLimit);
currentDispatchNum += needDispatchTasks.size();
needDispatchTasks.forEach(task -> {
// 獲取 ProcessorTracker 地址,如果 Task 中自帶了 Address,則使用該 Address
String ptAddress = task.getAddress();
if (StringUtils.isEmpty(ptAddress) || RemoteConstant.EMPTY_ADDRESS.equals(ptAddress)) {
ptAddress = availablePtIps.get(index.getAndIncrement() % availablePtIps.size());
}
dispatchTask(task, ptAddress);
});
// 數量不足 或 查詢失敗,則終止循環
if (needDispatchTasks.size() < dbQueryLimit) {
break;
}
}
log.debug("[TaskTracker-{}] dispatched {} tasks,using time {}.", instanceId, currentDispatchNum, stopwatch.stop());
}
}
這里會計算maxDispatchNum(availablePtIps.size() * instanceInfo.getThreadConcurrency() * 2L),之后通過availablePtIps.get(index.getAndIncrement() % availablePtIps.size())去輪詢派發任務
ProcessorTracker
powerjob-worker/src/main/java/tech/powerjob/worker/core/tracker/processor/ProcessorTracker.java
calThreadPoolSize
private int calThreadPoolSize() {
ExecuteType executeType = ExecuteType.valueOf(instanceInfo.getExecuteType());
ProcessorType processorType = ProcessorType.valueOf(instanceInfo.getProcessorType());
// 腳本類自帶線程池,不過為了少一點邏輯判斷,還是象征性分配一個線程
if (processorType == ProcessorType.PYTHON || processorType == ProcessorType.SHELL) {
return 1;
}
if (executeType == ExecuteType.MAP_REDUCE || executeType == ExecuteType.MAP) {
return instanceInfo.getThreadConcurrency();
}
if (TimeExpressionType.FREQUENT_TYPES.contains(instanceInfo.getTimeExpressionType())) {
return instanceInfo.getThreadConcurrency();
}
return 2;
}
ProcessorTracker的calThreadPoolSize方法會根據ProcessorType、ExecuteType、TimeExpressionType來確定線程池大小,比如ProcessorType.PYTHON或者ProcessorType.SHELL返回1,ExecuteType.MAP_REDUCE、ExecuteType.MAP、TimeExpressionType.FREQUENT_TYPES返回的是instanceInfo.greadConcurrency()
initThreadPool
private static final int THREAD_POOL_QUEUE_MAX_SIZE = 128;
private void initThreadPool() {
int poolSize = calThreadPoolSize();
// 待執行隊列,為了防止對內存造成較大壓力,內存隊列不能太大
BlockingQueue<Runnable> queue = new ArrayBlockingQueue<>(THREAD_POOL_QUEUE_MAX_SIZE);
// 自定義線程池中線程名稱 (PowerJob Processor Pool -> PPP)
ThreadFactory threadFactory = new ThreadFactoryBuilder().setNameFormat("PPP-%d").build();
// 拒絕策略:直接拋出異常
RejectedExecutionHandler rejectionHandler = new ThreadPoolExecutor.AbortPolicy();
threadPool = new ThreadPoolExecutor(poolSize, poolSize, 60L, TimeUnit.SECONDS, queue, threadFactory, rejectionHandler);
// 當沒有任務執行時,允許銷毀核心線程(即線程池最終存活線程個數可能為0)
threadPool.allowCoreThreadTimeOut(true);
}
initThreadPool這里創建了ArrayBlockingQueue,大小為128,RejectedExecutionHandler為AbortPolicy,直接拋出異常RejectedExecutionException
submitTask
public void submitTask(TaskDO newTask) {
// 一旦 ProcessorTracker 出現異常,所有提交到此處的任務直接返回失敗,防止形成死鎖
// 死鎖分析:TT創建PT,PT創建失敗,無法定期匯報心跳,TT長時間未收到PT心跳,認為PT宕機(確實宕機了),無法選擇可用的PT再次派發任務,死鎖形成,GG斯密達 T_T
if (lethal) {
ProcessorReportTaskStatusReq report = new ProcessorReportTaskStatusReq()
.setInstanceId(instanceId)
.setSubInstanceId(newTask.getSubInstanceId())
.setTaskId(newTask.getTaskId())
.setStatus(TaskStatus.WORKER_PROCESS_FAILED.getValue())
.setResult(lethalReason)
.setReportTime(System.currentTimeMillis());
TransportUtils.ptReportTask(report, taskTrackerAddress, workerRuntime);
return;
}
boolean success = false;
// 1. 設置值并提交執行
newTask.setInstanceId(instanceInfo.getInstanceId());
newTask.setAddress(taskTrackerAddress);
HeavyProcessorRunnable heavyProcessorRunnable = new HeavyProcessorRunnable(instanceInfo, taskTrackerAddress, newTask, processorBean, omsLogger, statusReportRetryQueue, workerRuntime);
try {
threadPool.submit(heavyProcessorRunnable);
success = true;
} catch (RejectedExecutionException ignore) {
log.warn("[ProcessorTracker-{}] submit task(taskId={},taskName={}) to ThreadPool failed due to ThreadPool has too much task waiting to process, this task will dispatch to other ProcessorTracker.",
instanceId, newTask.getTaskId(), newTask.getTaskName());
} catch (Exception e) {
log.error("[ProcessorTracker-{}] submit task(taskId={},taskName={}) to ThreadPool failed.", instanceId, newTask.getTaskId(), newTask.getTaskName(), e);
}
// 2. 回復接收成功
if (success) {
ProcessorReportTaskStatusReq reportReq = new ProcessorReportTaskStatusReq();
reportReq.setInstanceId(instanceId);
reportReq.setSubInstanceId(newTask.getSubInstanceId());
reportReq.setTaskId(newTask.getTaskId());
reportReq.setStatus(TaskStatus.WORKER_RECEIVED.getValue());
reportReq.setReportTime(System.currentTimeMillis());
TransportUtils.ptReportTask(reportReq, taskTrackerAddress, workerRuntime);
log.debug("[ProcessorTracker-{}] submit task(taskId={}, taskName={}) success, current queue size: {}.",
instanceId, newTask.getTaskId(), newTask.getTaskName(), threadPool.getQueue().size());
}
}
submitTask這里會根據TaskDO創建HeavyProcessorRunnable,然后提交到threadPool,若有異常則success為false,只有成功了才會創建ProcessorReportTaskStatusReq,回復接收任務成功。若有RejectedExecutionException則會打印warn日志[ProcessorTracker-{}] submit task(taskId={},taskName={}) to ThreadPool failed due to ThreadPool has too much task waiting to process, this task will dispatch to other ProcessorTracker.
onReceiveProcessorReportTaskStatusReq
powerjob-worker/src/main/java/tech/powerjob/worker/actors/TaskTrackerActor.java
@Handler(path = WTT_HANDLER_REPORT_TASK_STATUS)
public AskResponse onReceiveProcessorReportTaskStatusReq(ProcessorReportTaskStatusReq req) {
int taskStatus = req.getStatus();
// 只有重量級任務才會有兩級任務狀態上報的機制
HeavyTaskTracker taskTracker = HeavyTaskTrackerManager.getTaskTracker(req.getInstanceId());
// 手動停止 TaskTracker 的情況下會出現這種情況
if (taskTracker == null) {
log.warn("[TaskTrackerActor] receive ProcessorReportTaskStatusReq({}) but system can't find TaskTracker.", req);
return null;
}
if (ProcessorReportTaskStatusReq.BROADCAST.equals(req.getCmd())) {
taskTracker.broadcast(taskStatus == TaskStatus.WORKER_PROCESS_SUCCESS.getValue(), req.getSubInstanceId(), req.getTaskId(), req.getResult());
}
taskTracker.updateTaskStatus(req.getSubInstanceId(), req.getTaskId(), taskStatus, req.getReportTime(), req.getResult());
// 更新工作流上下文
taskTracker.updateAppendedWfContext(req.getAppendedWfContext());
// 結束狀態需要回復接受成功
if (TaskStatus.FINISHED_STATUS.contains(taskStatus)) {
return AskResponse.succeed(null);
}
return null;
}
TaskTrackerActor接收到ProcessorReportTaskStatusReq,會通過updateTaskStatus更新狀態,如果是FINISHED_STATUS狀態則回復接收成功AskResponse.succeed(null)
TaskStatus
powerjob-worker/src/main/java/tech/powerjob/worker/common/constants/TaskStatus.java
@Getter
@AllArgsConstructor
public enum TaskStatus {
WAITING_DISPATCH(1, "等待調度器調度"),
DISPATCH_SUCCESS_WORKER_UNCHECK(2, "調度成功(但不保證worker收到)"),
WORKER_RECEIVED(3, "worker接收成功,但未開始執行"),
WORKER_PROCESSING(4, "worker正在執行"),
WORKER_PROCESS_FAILED(5, "worker執行失敗"),
WORKER_PROCESS_SUCCESS(6, "worker執行成功");
public static final Set<Integer> FINISHED_STATUS = Sets.newHashSet(WORKER_PROCESS_FAILED.value, WORKER_PROCESS_SUCCESS.value);
private final int value;
private final String des;
public static TaskStatus of(int v) {
for (TaskStatus taskStatus : values()) {
if (v == taskStatus.value) {
return taskStatus;
}
}
throw new IllegalArgumentException("no TaskStatus match the value of " + v);
}
}
task_info表中的status一共有等待調度WAITING_DISPATCH、調度DISPATCH_SUCCESS_WORKER_UNCHECK、worker接收成功WORKER_RECEIVED、worker處理中WORKER_PROCESSING、worker處理失敗WORKER_PROCESS_FAILED、worker處理成功WORKER_PROCESS_SUCCESS這幾個狀態,其中處理成功和處理失敗為完結狀態
HeavyProcessorRunnable
powerjob-worker/src/main/java/tech/powerjob/worker/core/processor/runnable/HeavyProcessorRunnable.java
public void run() {
// 切換線程上下文類加載器(否則用的是 Worker 類加載器,不存在容器類,在序列化/反序列化時會報 ClassNotFoundException)
Thread.currentThread().setContextClassLoader(processorBean.getClassLoader());
try {
innerRun();
} catch (InterruptedException ignore) {
// ignore
} catch (Throwable e) {
reportStatus(TaskStatus.WORKER_PROCESS_FAILED, e.toString(), null, null);
log.error("[ProcessorRunnable-{}] execute failed, please contact the author(@KFCFans) to fix the bug!", task.getInstanceId(), e);
} finally {
ThreadLocalStore.clear();
}
}
public void innerRun() throws InterruptedException {
final BasicProcessor processor = processorBean.getProcessor();
String taskId = task.getTaskId();
Long instanceId = task.getInstanceId();
log.debug("[ProcessorRunnable-{}] start to run task(taskId={}&taskName={})", instanceId, taskId, task.getTaskName());
ThreadLocalStore.setTask(task);
ThreadLocalStore.setRuntimeMeta(workerRuntime);
// 0. 構造任務上下文
WorkflowContext workflowContext = constructWorkflowContext();
TaskContext taskContext = constructTaskContext();
taskContext.setWorkflowContext(workflowContext);
// 1. 上報執行信息
reportStatus(TaskStatus.WORKER_PROCESSING, null, null, null);
ProcessResult processResult;
ExecuteType executeType = ExecuteType.valueOf(instanceInfo.getExecuteType());
// 2. 根任務 & 廣播執行 特殊處理
if (TaskConstant.ROOT_TASK_NAME.equals(task.getTaskName()) && executeType == ExecuteType.BROADCAST) {
// 廣播執行:先選本機執行 preProcess,完成后 TaskTracker 再為所有 Worker 生成子 Task
handleBroadcastRootTask(instanceId, taskContext);
return;
}
// 3. 最終任務特殊處理(一定和 TaskTracker 處于相同的機器)
if (TaskConstant.LAST_TASK_NAME.equals(task.getTaskName())) {
handleLastTask(taskId, instanceId, taskContext, executeType);
return;
}
// 4. 正式提交運行
try {
processResult = processor.process(taskContext);
if (processResult == null) {
processResult = new ProcessResult(false, "ProcessResult can't be null");
}
} catch (Throwable e) {
log.warn("[ProcessorRunnable-{}] task(id={},name={}) process failed.", instanceId, taskContext.getTaskId(), taskContext.getTaskName(), e);
processResult = new ProcessResult(false, e.toString());
}
reportStatus(processResult.isSuccess() ? TaskStatus.WORKER_PROCESS_SUCCESS : TaskStatus.WORKER_PROCESS_FAILED, suit(processResult.getMsg()), null, workflowContext.getAppendedContextData());
}
HeavyProcessorRunnable的run方法委派給了innerRun,它捕獲Throwable異常然后上報為WORKER_PROCESS_FAILED狀態;innerRun方法在被執行時,先上報狀態為WORKER_PROCESSING,之后回調processor.process進行處理,若處理成功則上報WORKER_PROCESS_SUCCESS,否則上報WORKER_PROCESS_FAILED
小結
powerjob的InstanceInfo定義了threadConcurrency,即每臺機器的處理線程數上限
- HeavyTaskTracker會計算maxDispatchNum(availablePtIps.size() * instanceInfo.getThreadConcurrency() * 2L),之后通過availablePtIps.get(index.getAndIncrement() % availablePtIps.size())去輪詢派發任務
- ProcessorTracker的calThreadPoolSize方法會根據ProcessorType、ExecuteType、TimeExpressionType來確定線程池大小,比如ProcessorType.PYTHON或者ProcessorType.SHELL返回1,ExecuteType.MAP_REDUCE、ExecuteType.MAP、TimeExpressionType.FREQUENT_TYPES返回的是instanceInfo.greadConcurrency();initThreadPool這里創建了ArrayBlockingQueue,大小為128,RejectedExecutionHandler為AbortPolicy,直接拋出異常RejectedExecutionException;submitTask這里會根據TaskDO創建HeavyProcessorRunnable,然后提交到threadPool,若有異常則success為false,只有成功了才會創建ProcessorReportTaskStatusReq,回復接收任務成功
- TaskTrackerActor接收到ProcessorReportTaskStatusReq,會通過updateTaskStatus更新狀態,如果是FINISHED_STATUS狀態則回復接收成功AskResponse.succeed(null)
- HeavyProcessorRunnable的run方法委派給了innerRun,它捕獲Throwable異常然后上報為WORKER_PROCESS_FAILED狀態;innerRun方法在被執行時,先上報狀態為WORKER_PROCESSING,之后回調processor.process進行處理,若處理成功則上報WORKER_PROCESS_SUCCESS,否則上報WORKER_PROCESS_FAILED