成人免费xxxxx在线视频软件_久久精品久久久_亚洲国产精品久久久_天天色天天色_亚洲人成一区_欧美一级欧美三级在线观看

聊聊Powerjob的單機線程并發度

開發 前端
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)。

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
責任編輯:武曉燕 來源: 碼匠的流水賬
相關推薦

2019-11-07 09:20:29

Java線程操作系統

2025-05-26 02:20:00

并發協程虛擬內存

2025-06-05 01:22:00

線程虛擬內存系統

2023-07-11 08:34:25

參數流程類型

2023-07-03 09:59:00

并發編程并發容器

2019-02-15 10:11:23

2024-08-26 13:23:26

2020-12-28 08:03:26

多線程進程瀏覽器

2020-02-26 15:12:43

線程池增長回收

2022-05-02 21:47:13

并發編程線程

2022-03-09 09:43:20

并發編程Java

2016-11-25 00:38:45

隔離負載均衡系統

2023-11-20 08:01:38

并發處理數Tomcat

2023-04-02 17:53:10

多線程編程自測

2024-12-04 13:52:30

2021-05-24 10:55:05

Netty單機并發

2022-09-09 08:41:43

Netty服務端驅動

2021-09-06 11:58:24

Python腳本Jmeter

2022-06-12 06:45:26

高并發防重

2016-11-28 09:00:10

瀏覽器瀏覽器緩存服務端
點贊
收藏

51CTO技術棧公眾號

主站蜘蛛池模板: 中文成人在线 | 成人欧美一区二区三区白人 | 少妇淫片aaaaa毛片叫床爽 | 免费观看成人鲁鲁鲁鲁鲁视频 | 国内久久精品 | 国产午夜精品一区二区三区嫩草 | 日本免费一区二区三区四区 | 丝袜美腿一区二区三区 | 国产精品99久久久久久久久久久久 | 国产羞羞视频在线观看 | 婷婷综合激情 | 欧美日本亚洲 | 亚洲一区二区三区视频 | 欧美黄色录像 | 四虎影视1304t| 亚洲第一av | 亚洲精品区 | 精品视频一区二区三区在线观看 | 国产欧美日韩一区 | 91精品国产色综合久久 | 免费一看一级毛片 | 五月激情综合 | 国产在线一级片 | 国产精品亚洲一区二区三区在线 | 欧美久久一区 | 黄色一级免费观看 | 色精品视频 | 一区二区三区国产好的精 | 亚洲成av | 一级片在线免费播放 | 激情六月丁香婷婷 | 日韩一区二区三区在线观看 | 日日人人 | 国产伦精品一区二区三区高清 | 不卡的av在线 | 日本一区二区高清不卡 | 91欧美激情一区二区三区成人 | av在线播放一区二区 | 欧美久久一区 | 99色综合 | 神马久久久久久久久久 |