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Android?JobScheduler詳細(xì)介紹

 更新時間:2024年09月13日 11:33:55   作者:輕口味  
JobScheduler是Android?5.0引入的系統(tǒng)服務(wù),它可以根據(jù)網(wǎng)絡(luò)狀態(tài)、充電狀態(tài)、電量和存儲狀況等來觸發(fā)相應(yīng)的JobService執(zhí)行任務(wù),它支持多條件組合、持久性任務(wù),以及在API?21以上版本的Android系統(tǒng)中使用,對Android?JobScheduler相關(guān)知識感興趣的朋友跟隨小編一起看看吧

Android JobScheduler介紹

介紹

JobScheduler是在Android 5.0添加的,它可以檢測網(wǎng)絡(luò)狀態(tài)、設(shè)備是否充電中、低電量、低存儲等狀態(tài),當(dāng)所有條件都滿足時就會觸發(fā)執(zhí)行對應(yīng)的JobService來完成任務(wù)。同時具備了重試、定時執(zhí)行、持久化任務(wù)(設(shè)備重啟后可恢復(fù)任務(wù))等功能??芍^是十分強(qiáng)大
JobScheduler的使用大致分為三步:

  • 創(chuàng)建JobService類
  • 創(chuàng)建一個JobInfo
  • 獲取JobScheduler系統(tǒng)服務(wù)執(zhí)行任務(wù)

1 創(chuàng)建JobService

JobScheduler的原理大致是是通過監(jiān)聽手機(jī)狀態(tài),當(dāng)條件滿足時啟動Service執(zhí)行任務(wù)。
因此在使用JobScheduler之前,我們需要定義一個Service,當(dāng)然并不是隨隨便便定義,而是需要派生自JobService。
只需要重寫onStopJob和onStartJob即可。

class DemoJobService: JobService() {
    override fun onStartJob(params: JobParameters?): Boolean {
        //do sth...
        //這個返回值是有講究的
        //true表示Service的工作在一個獨立線程中執(zhí)行,工作完成之后需要調(diào)用jobFinish方法通知JobScheduler工作完成
        //false表示Service的工作已經(jīng)完成,JobScheduler收到通知之后會釋放資源
        return false
    }
    //該方法會在一些極端場景下觸發(fā)
    //比如當(dāng)前的Job需要有Wifi連接的場景下才可執(zhí)行,但是在執(zhí)行期間
    //用戶關(guān)閉Wifi,那么就會觸發(fā)該方法
    override fun onStopJob(params: JobParameters?): Boolean {
        //do sth...
        //true表示需要進(jìn)行重試
        //false表示不再進(jìn)行重試,Job將會被丟棄
        return true
    }
}

同時,在manifest中注冊時,還需要設(shè)置一個權(quán)限(否則會報錯),如下

<application
        android:allowBackup="true"
        android:icon="@mipmap/ic_launcher"
        android:label="@string/app_name"
        android:supportsRtl="true"
        android:theme="@style/AppTheme">
    //...
    <service android:name=".DemoJobService" 
             android:permission="android.permission.BIND_JOB_SERVICE"/>
</application>

2 創(chuàng)建JobInfo

JobInfo是對任務(wù)的描述,比如說需要監(jiān)聽哪些狀態(tài)、重試策略、任務(wù)執(zhí)行時間、是否持久化等等。
JobInfo.Builder的構(gòu)造函數(shù)需要傳入一個jobId,是Job的唯一標(biāo)志,后續(xù)通過該jobId來取消Job。
通過Builder模式構(gòu)造JobInfo。

val jobInfo = JobInfo.Builder(1, ComponentName(packageName, DemoJobService::class.java.name))
    .setBackoffCriteria(1000,JobInfo.BACKOFF_POLICY_LINEAR) //重試機(jī)制
    .setMinimumLatency(1000)//設(shè)置延遲時間
    .setOverrideDeadline(10000)//設(shè)置最后期限,如果達(dá)到該時間點,Job還沒被執(zhí)行,那么會強(qiáng)制執(zhí)行一次
//                .setPeriodic(2000)//每隔2s執(zhí)行一次,跟上面兩個會沖突
    .setPersisted(true)//持久化,就算手機(jī)關(guān)機(jī),啟動之后也可以恢復(fù)Job,需要RECEIVE_BOOT_COMPLETED權(quán)限
    .setRequiredNetworkType(JobInfo.NETWORK_TYPE_UNMETERED)//設(shè)置Job依賴的網(wǎng)絡(luò)類型
    .setRequiresCharging(false)//是否要求設(shè)備處于充電狀態(tài)
    .setRequiresDeviceIdle(false)//是否要求設(shè)備處于空閑狀態(tài)
    .build()

JobInfo其他的設(shè)置方法:

.setMinimumLatency(5000)//5秒 最小延時、
.setOverrideDeadline(60000)//maximum最多執(zhí)行時間  
 .setRequiredNetworkType(JobInfo.NETWORK_TYPE_UNMETERED)//免費的網(wǎng)絡(luò)---wifi 藍(lán)牙 USB
.setRequiredNetworkType(JobInfo.NETWORK_TYPE_ANY)//任意網(wǎng)絡(luò)---
  /**
   設(shè)置重試/退避策略,當(dāng)一個任務(wù)調(diào)度失敗的時候執(zhí)行什么樣的測量采取重試。
    initialBackoffMillis:第一次嘗試重試的等待時間間隔ms
    *backoffPolicy:對應(yīng)的退避策略。比如等待的間隔呈指數(shù)增長。
    */
  .setBackoffCriteria(long initialBackoffMillis, int backoffPolicy)
.setBackoffCriteria(JobInfo.MAX_BACKOFF_DELAY_MILLIS, JobInfo.BACKOFF_POLICY_LINEAR)
  //.setPeriodic (long intervalMillis)//設(shè)置執(zhí)行周期,每隔一段時間間隔任務(wù)最多可以執(zhí)行一次。
//.setPeriodic(long intervalMillis,long flexMillis)//在周期執(zhí)行的末端有一個flexMiliis長度的窗口期,任務(wù)就可以在這個窗口期執(zhí)行。
 //設(shè)置設(shè)備重啟后,這個任務(wù)是否還要保留。需要權(quán)限:  RECEIVE_BOOT_COMPLETED //ctrl+shift+y/u x
//.setPersisted(boolean isPersisted);
// .setRequiresCharging(boolean )//是否需要充電
// .setRequiresDeviceIdle(boolean)//是否需要等設(shè)備出于空閑狀態(tài)的時候
// .addTriggerContentUri(uri)//監(jiān)聽uri對應(yīng)的數(shù)據(jù)發(fā)生改變,就會觸發(fā)任務(wù)的執(zhí)行。
// .setTriggerContentMaxDelay(long duration)//設(shè)置Content發(fā)生變化一直到任務(wù)被執(zhí)行中間的最大延遲時間
 //設(shè)置Content發(fā)生變化一直到任務(wù)被執(zhí)行中間的延遲。如果在這個延遲時間內(nèi)content發(fā)生了改變,延遲時間會重寫計算。
  // .setTriggerContentUpdateDelay(long durationMilimms)

3 執(zhí)行任務(wù)

最后通過getSystemService獲取JobScheduler服務(wù)執(zhí)行任務(wù)就可以了

//執(zhí)行任務(wù)
val jobScheduler = getSystemService(Context.JOB_SCHEDULER_SERVICE) as JobScheduler
jobScheduler.schedule(jobInfo)
//取消任務(wù)
jobScheduler.cancel(1)

4 最后

JobScheduler上手還是比較簡單的,由于本文是基于api23的源碼,因此還有很多新功能沒有在源碼中展示出來,如setRequiresBatteryNotLow(設(shè)置Job對電量的要求)、setRequiresStorageNotLow(設(shè)置Job對存儲空間的要求)等.

特性&適用

  • 支持在一個任務(wù)上組合多個條件
  • 內(nèi)置條件:設(shè)備待機(jī)、設(shè)備充電和連接網(wǎng)絡(luò)
  • 支持持續(xù)的job,這意味著設(shè)備重啟后,之前被中斷的job可以繼續(xù)執(zhí)行
  • 支持設(shè)置job的最后執(zhí)行期限
  • 根據(jù)你的配置,可以設(shè)置job在后臺運行還是在主線程中運行

適用

需要在Android設(shè)備滿足某種場合才需要去執(zhí)行處理數(shù)據(jù):

  • 應(yīng)用具有可以推遲的非面向用戶的工作(定期數(shù)據(jù)庫數(shù)據(jù)更新)
  • 應(yīng)用具有當(dāng)插入設(shè)備時希望優(yōu)先執(zhí)行的工作(充電時才希望執(zhí)行的工作備份數(shù)據(jù))
  • 需要訪問網(wǎng)絡(luò)或 Wi-Fi 連接時需要進(jìn)行的任務(wù)(如向服務(wù)器拉取內(nèi)置數(shù)據(jù))
  • 希望作為一個批次定期運行的許多任務(wù)(s)

特征

  • Job Scheduler只有在Api21或以上的系統(tǒng)支持。
  • Job Scheduler是將多個任務(wù)打包在一個場景下執(zhí)行。
  • 在系統(tǒng)重啟以后,任務(wù)會依然保留在Job Scheduler當(dāng)中,因此不需要監(jiān)聽系統(tǒng)啟動狀態(tài)重復(fù)設(shè)定。
  • 如果在一定期限內(nèi)還沒有滿足特定執(zhí)行所需情況,Job Scheduler會將這些任務(wù)加入隊列,并且隨后會進(jìn)行執(zhí)行

使用Job Scheduler,應(yīng)用需要做的事情就是判斷哪些任務(wù)是不緊急的,可以交給Job Scheduler來處理,Job Scheduler集中處理收到的任務(wù),選擇合適的時間,合適的網(wǎng)絡(luò),再一起進(jìn)行執(zhí)行。把時效性不強(qiáng)的工作丟給它做。

源碼分析

JobScheduler是系統(tǒng)服務(wù)JobSchedulerService,JobScheduler是一個抽象類;以下是JobScheduler的源碼:

public abstract class JobScheduler {
public static final int RESULT_FAILURE = 0;
public static final int RESULT_SUCCESS = 1;
//這個是提交一個工作任務(wù)JobInfo
public abstract int schedule(JobInfo job);
public abstract int scheduleAsPackage(JobInfo job, String packageName, int userId, String tag);
 //這個是取消一個工作任務(wù)
public abstract void cancel(int jobId);
//這個是取消所有的工作任務(wù)
public abstract void cancelAll();
  //得到所有將來要執(zhí)行的工作任務(wù)
public abstract @NonNull List<JobInfo> getAllPendingJobs();
//根據(jù)Jobid獲得將來要執(zhí)行的工作任務(wù)
public abstract @Nullable JobInfo getPendingJob(int jobId);
}

JobScheduler的實現(xiàn)類是JobSchedulerImpl:

public class JobSchedulerImpl extends JobScheduler {
IJobScheduler mBinder;
/* package */ JobSchedulerImpl(IJobScheduler binder) {
    mBinder = binder;
}
@Override
public int schedule(JobInfo job) {
    try {
        //這個mBinder是JobSchedulerService中的IJobScheduler.Stub,
        return mBinder.schedule(job);
    } catch (RemoteException e) {
        return JobScheduler.RESULT_FAILURE;
    }
}
@Override
public void cancel(int jobId) {
    try {
        mBinder.cancel(jobId);
    } catch (RemoteException e) {}
}
@Override
public void cancelAll() {
    try {
        mBinder.cancelAll();
    } catch (RemoteException e) {}
}
@Override
public List<JobInfo> getAllPendingJobs() {
    try {
        return mBinder.getAllPendingJobs();
    } catch (RemoteException e) {
        return null;
    }
}
}

在代碼中 調(diào)用mJobScheduler.schedule(job);其實是調(diào)了JobScheduler的實現(xiàn)類JobSchedulerImpl中的schedule方法;然后再調(diào)了mBinder.schedule(job);這個mBinder就是JobSchedulerService,調(diào)用了JobSchedulerService類里面IJobScheduler.Stub內(nèi)部類的schedule方法; JobSchedulerService是在哪里啟動的呢?先看一下的源碼,從源碼分析JobSchedulerService是一個系統(tǒng)服務(wù);

public class JobSchedulerService extends com.android.server.SystemService
    implements StateChangedListener, JobCompletedListener {
static final boolean DEBUG = false;
/** The number of concurrent jobs we run at one time. */
private static final int MAX_JOB_CONTEXTS_COUNT
        = ActivityManager.isLowRamDeviceStatic() ? 1 : 3;
static final String TAG = "JobSchedulerService";
/** Master list of jobs. */
final JobStore mJobs;
static final int MSG_JOB_EXPIRED = 0;
static final int MSG_CHECK_JOB = 1;
//....省略了n多代碼
}

是系統(tǒng)服務(wù)那應(yīng)該就是在 SystemServer啟動的,先看一下SystemServer的源碼;

public final class SystemServer {
private static final String TAG = "SystemServer";
//手機(jī)開機(jī)啟動后會走這個main方法,然后調(diào)用run方法
public static void main(String[] args) {
    new SystemServer().run();
  }

手機(jī)開機(jī)啟動會走SystemServer中的主函數(shù)main方法,main方法調(diào)用了run方法,下面是run方法中的代碼:

private void run() {
     //....省略了n多代碼
    // Start services.
    //這里啟動一些系統(tǒng)服務(wù)
    try {
        startBootstrapServices();
        startCoreServices();
      //會走這個
        startOtherServices();
    } catch (Throwable ex) {
        Slog.e("System", "******************************************");
        Slog.e("System", "************ Failure starting system services", ex);
        throw ex;
    }
 //....省略了n多代碼
}

從run方法可以看出,這里啟動了一系列的系統(tǒng)服務(wù),里面調(diào)用了startOtherServices()方法,那接下看一下startOtherServices方法,向下看:

private void startOtherServices() {
      //....省略了n多代碼
         mSystemServiceManager.startService(TwilightService.class);
        //這里就是啟動JobSchedulerService
      mSystemServiceManager.startService(JobSchedulerService.class);
        if (!disableNonCoreServices) {
            if (mPackageManager.hasSystemFeature(PackageManager.FEATURE_BACKUP)) {
                mSystemServiceManager.startService(BACKUP_MANAGER_SERVICE_CLASS);
            }
            if (mPackageManager.hasSystemFeature(PackageManager.FEATURE_APP_WIDGETS)) {
                mSystemServiceManager.startService(APPWIDGET_SERVICE_CLASS);
            }
            if (mPackageManager.hasSystemFeature(PackageManager.FEATURE_VOICE_RECOGNIZERS)) {
                mSystemServiceManager.startService(VOICE_RECOGNITION_MANAGER_SERVICE_CLASS);
            }
        }
 //....省略了n多代碼
}

在startOtherServices方法方法中調(diào)用了mSystemServiceManager.startService(JobSchedulerService.class);這里就啟動了JobSchedulerService服務(wù);接下來我們分析JobSchedulerService的源碼; 先看一下JobSchedulerService的構(gòu)造方法:

public JobSchedulerService(Context context) {
    super(context);
    // Create the controllers.
    mControllers = new ArrayList<StateController>();
    //以下控制類都是繼承了StateController類
    //網(wǎng)絡(luò)聯(lián)接控制類
    mControllers.add(ConnectivityController.get(this));
  //時間控制類
    mControllers.add(TimeController.get(this));
  //延時控制類
    mControllers.add(IdleController.get(this));
    //電量控制類
    mControllers.add(BatteryController.get(this));
    mControllers.add(AppIdleController.get(this));
    mHandler = new JobHandler(context.getMainLooper());
  //new了IJobScheduler.Stub,這個其實就是前面JobSchedulerImpl類中mBinder,這里用到了進(jìn)程間通信binder機(jī)制,不明白的可能先學(xué)習(xí)一下進(jìn)程間通信機(jī)制;
    mJobSchedulerStub = new JobSchedulerStub();
    mJobs = JobStore.initAndGet(this);
}

創(chuàng)建了5個不同的StateController,分別添加到mControllers。

類型說明
ConnectivityController注冊監(jiān)聽網(wǎng)絡(luò)連接狀態(tài)的廣播
TimeController注冊監(jiān)聽job時間到期的廣播
IdleController注冊監(jiān)聽屏幕亮/滅,dream進(jìn)入/退出,狀態(tài)改變的廣播
BatteryController注冊監(jiān)聽電池是否充電,電量狀態(tài)的廣播
AppIdleController監(jiān)聽app是否空閑

前面提到調(diào)用mBinder.schedule(job);其實是調(diào)用了JobSchedulerService類里面IJobScheduler.Stub內(nèi)部類的schedule方法;接下看一下這個方法:

final class JobSchedulerStub extends IJobScheduler.Stub {
   //....省略了n多代碼
    @Override
    public int schedule(JobInfo job) throws RemoteException {
        if (DEBUG) {
            Slog.d(TAG, "Scheduling job: " + job.toString());
        }
        //這里做了一個檢驗,非關(guān)鍵代碼
        final int pid = Binder.getCallingPid();
        final int uid = Binder.getCallingUid();
     //....省略了n多代碼
        long ident = Binder.clearCallingIdentity();
        try {
        //這個是關(guān)鍵代碼,調(diào)用JobSchedulerService中的schedule
            return JobSchedulerService.this.schedule(job, uid);
        } finally {
            Binder.restoreCallingIdentity(ident);
        }
    }
}

從上面代碼看出,是調(diào)用了調(diào)用JobSchedulerService中的schedule方法,好了,看一下JobSchedulerService中的schedule方法;

public int schedule(JobInfo job, int uId) {
    JobStatus jobStatus = new JobStatus(job, uId);
    cancelJob(uId, job.getId());
    startTrackingJob(jobStatus);
  //通過handler發(fā)消息
    mHandler.obtainMessage(MSG_CHECK_JOB).sendToTarget();
    return JobScheduler.RESULT_SUCCESS;
}

從上面代碼可以看出是通過Handler發(fā)消息,MSG_CHECK_JOB是目標(biāo)源,看一下JobHandler 中的方法

private class JobHandler extends Handler {
    public JobHandler(Looper looper) {
        super(looper);
    }
    @Override
    public void handleMessage(Message message) {
        synchronized (mJobs) {
            if (!mReadyToRock) {
                return;
            }
        }
        switch (message.what) {
            case MSG_JOB_EXPIRED:
                synchronized (mJobs) {
                    JobStatus runNow = (JobStatus) message.obj;
                    if (runNow != null && !mPendingJobs.contains(runNow)
                            && mJobs.containsJob(runNow)) {
                        mPendingJobs.add(runNow);
                    }
                    queueReadyJobsForExecutionLockedH();
                }
                break;
            case MSG_CHECK_JOB:
                synchronized (mJobs) {
                    maybeQueueReadyJobsForExecutionLockedH();
                }
                break;
        }
        maybeRunPendingJobsH();
        removeMessages(MSG_CHECK_JOB);
    }

通過Handler發(fā)消息,然后調(diào)用 maybeQueueReadyJobsForExecutionLockedH()方法,

private void queueReadyJobsForExecutionLockedH() {
        ArraySet<JobStatus> jobs = mJobs.getJobs();
        if (DEBUG) {
            Slog.d(TAG, "queuing all ready jobs for execution:");
        }
      //遍歷要處理的目標(biāo)任務(wù),把目標(biāo)任務(wù)加到集合PendingJobs中
        for (int i=0; i<jobs.size(); i++) {
            JobStatus job = jobs.valueAt(i);
            if (isReadyToBeExecutedLocked(job)) {
                if (DEBUG) {
                    Slog.d(TAG, "    queued " + job.toShortString());
                }
                //把目標(biāo)任務(wù)加到待處理目標(biāo)任務(wù)集合中
                mPendingJobs.add(job);
            } else if (isReadyToBeCancelledLocked(job)) {
                stopJobOnServiceContextLocked(job);
            }
        }
        if (DEBUG) {
            final int queuedJobs = mPendingJobs.size();
            if (queuedJobs == 0) {
                Slog.d(TAG, "No jobs pending.");
            } else {
                Slog.d(TAG, queuedJobs + " jobs queued.");
            }
        }
    }

這個方法主要是遍歷將來要處理的工作任務(wù)然后一個個加到待處理工作任務(wù)集合中去;這個方法執(zhí)行完后就會執(zhí)行JobHandler中的maybeRunPendingJobsH()方法;

private void maybeRunPendingJobsH() {
        synchronized (mJobs) {
            if (mDeviceIdleMode) {
                // If device is idle, we will not schedule jobs to run.
                return;
            }
            Iterator<JobStatus> it = mPendingJobs.iterator();
            if (DEBUG) {
                Slog.d(TAG, "pending queue: " + mPendingJobs.size() + " jobs.");
            }
            //通過遍歷待處理任務(wù)集合,一個個處理待處理任務(wù)
            while (it.hasNext()) {
                JobStatus nextPending = it.next();
                JobServiceContext availableContext = null;
                for (int i=0; i<mActiveServices.size(); i++) {
                    JobServiceContext jsc = mActiveServices.get(i);
                    final JobStatus running = jsc.getRunningJob();
                    if (running != null && running.matches(nextPending.getUid(),
                            nextPending.getJobId())) {
                        // Already running this job for this uId, skip.
                        availableContext = null;
                        break;
                    }
                    if (jsc.isAvailable()) {
                        availableContext = jsc;
                    }
                }
                if (availableContext != null) {
                    if (DEBUG) {
                        Slog.d(TAG, "About to run job "
                                + nextPending.getJob().getService().toString());
                    }
    //這個方法就是處理待處理任務(wù)的方法
                    if (!availableContext.executeRunnableJob(nextPending)) {
                        if (DEBUG) {
                            Slog.d(TAG, "Error executing " + nextPending);
                        }
                        mJobs.remove(nextPending);
                    }
                    it.remove();
                }
            }
        }
    }
}

從上面源碼分析可以得出,這個方法通過遍歷待處理任務(wù)集合,處理任務(wù),這里調(diào)用了availableContext.executeRunnableJob(nextPending)方法,這個就是處理待處理任務(wù)的方法,接下來我們一起看看這個方法的源碼,分析下:

public class JobServiceContext extends IJobCallback.Stub   implements ServiceConnection {
 @Override
public void onServiceConnected(ComponentName name, IBinder service) {
    if (!name.equals(mRunningJob.getServiceComponent())) {
        mCallbackHandler.obtainMessage(MSG_SHUTDOWN_EXECUTION).sendToTarget();
        return;
    }
    this.service = IJobService.Stub.asInterface(service);
    final PowerManager pm =
            (PowerManager) mContext.getSystemService(Context.POWER_SERVICE);
    mWakeLock = pm.newWakeLock(PowerManager.PARTIAL_WAKE_LOCK, mRunningJob.getTag());
//這里也用WakeLock鎖,防止手機(jī)休眠
    mWakeLock.setWorkSource(new WorkSource(mRunningJob.getUid()));
    mWakeLock.setReferenceCounted(false);
    mWakeLock.acquire();
    mCallbackHandler.obtainMessage(MSG_SERVICE_BOUND).sendToTarget();
}
}

JobServiceContext是ServiceConnection,這個是進(jìn)程間通訊ServiceConnection,通過調(diào)用availableContext.executeRunnableJob(nextPending)方法,會觸發(fā)調(diào)用onServiceConnected,看到這里應(yīng)該明白了,onServiceConnected方法中的service就是jobservice,里面還用了WakeLock鎖,防止手機(jī)休眠,然后通過Handler發(fā)消息 調(diào)用了handleServiceBoundH()方法,

/** Start the job on the service. */
    private void handleServiceBoundH() {
        if (DEBUG) {
            Slog.d(TAG, "MSG_SERVICE_BOUND for " + mRunningJob.toShortString());
        }
        if (mVerb != VERB_BINDING) {
            Slog.e(TAG, "Sending onStartJob for a job that isn't pending. "
                    + VERB_STRINGS[mVerb]);
            closeAndCleanupJobH(false /* reschedule */);
            return;
        }
        if (mCancelled.get()) {
            if (DEBUG) {
                Slog.d(TAG, "Job cancelled while waiting for bind to complete. "
                        + mRunningJob);
            }
            closeAndCleanupJobH(true /* reschedule */);
            return;
        }
        try {
            mVerb = VERB_STARTING;
            scheduleOpTimeOut();
      //我們就是要找這個方法, 看到這里明白了吧,這個就是調(diào)用了jobService中的startjob
            service.startJob(mParams);
        } catch (RemoteException e) {
            Slog.e(TAG, "Error sending onStart message to '" +
                    mRunningJob.getServiceComponent().getShortClassName() + "' ", e);
        }
    }

從上面源碼可以看出,最終是調(diào)用了jobService中的startjob方法, 這樣就明白了,是如何觸發(fā)調(diào)用jobService中的startjob方法的;

前面在JobSchedulerService中提到了控件類StateController類,這個是一個抽象類,有很多實現(xiàn)類,這個我只分析一個ConnectivityController實現(xiàn)類,其他都差不多,接下來分析一下ConnectivityController源碼:

public class ConnectivityController extends StateController implements
    ConnectivityManager.OnNetworkActiveListener {
private static final String TAG = "JobScheduler.Conn";
//工作任務(wù)狀態(tài)集合
private final List<JobStatus> mTrackedJobs = new LinkedList<JobStatus>();
  //這個是手機(jī)網(wǎng)絡(luò)連接改變廣播,網(wǎng)絡(luò)發(fā)生改變,會觸發(fā)這個廣播
private final BroadcastReceiver mConnectivityChangedReceiver =
        new ConnectivityChangedReceiver();
/** Singleton. */
private static ConnectivityController mSingleton;
private static Object sCreationLock = new Object();
/** Track whether the latest active network is metered. */
private boolean mNetworkUnmetered;
/** Track whether the latest active network is connected. */
private boolean mNetworkConnected;
public static ConnectivityController get(JobSchedulerService jms) {
    synchronized (sCreationLock) {
        if (mSingleton == null) {
            mSingleton = new ConnectivityController(jms, jms.getContext());
        }
        return mSingleton;
    }
}
private ConnectivityController(StateChangedListener stateChangedListener, Context context) {
    super(stateChangedListener, context);
    // Register connectivity changed BR.
    IntentFilter intentFilter = new IntentFilter();
    intentFilter.addAction(ConnectivityManager.CONNECTIVITY_ACTION);
    mContext.registerReceiverAsUser(
            mConnectivityChangedReceiver, UserHandle.ALL, intentFilter, null, null);
    ConnectivityService cs =
            (ConnectivityService)ServiceManager.getService(Context.CONNECTIVITY_SERVICE);
    if (cs != null) {
        if (cs.getActiveNetworkInfo() != null) {
            mNetworkConnected = cs.getActiveNetworkInfo().isConnected();
        }
        mNetworkUnmetered = mNetworkConnected && !cs.isActiveNetworkMetered();
    }
}
@Override
public void maybeStartTrackingJob(JobStatus jobStatus) {
    if (jobStatus.hasConnectivityConstraint() || jobStatus.hasUnmeteredConstraint()) {
        synchronized (mTrackedJobs) {
            jobStatus.connectivityConstraintSatisfied.set(mNetworkConnected);
            jobStatus.unmeteredConstraintSatisfied.set(mNetworkUnmetered);
            mTrackedJobs.add(jobStatus);
        }
    }
}
@Override
public void maybeStopTrackingJob(JobStatus jobStatus) {
    if (jobStatus.hasConnectivityConstraint() || jobStatus.hasUnmeteredConstraint()) {
        synchronized (mTrackedJobs) {
            mTrackedJobs.remove(jobStatus);
        }
    }
}
/**
 * @param userId Id of the user for whom we are updating the connectivity state.
 */
private void updateTrackedJobs(int userId) {
    synchronized (mTrackedJobs) {
        boolean changed = false;
        for (JobStatus js : mTrackedJobs) {
            if (js.getUserId() != userId) {
                continue;
            }
            boolean prevIsConnected =
                    js.connectivityConstraintSatisfied.getAndSet(mNetworkConnected);
            boolean prevIsMetered = js.unmeteredConstraintSatisfied.getAndSet(mNetworkUnmetered);
            if (prevIsConnected != mNetworkConnected || prevIsMetered != mNetworkUnmetered) {
                changed = true;
            }
        }
        if (changed) {
            mStateChangedListener.onControllerStateChanged();
        }
    }
}
/**
 * We know the network has just come up. We want to run any jobs that are ready.
 */
public synchronized void onNetworkActive() {
    synchronized (mTrackedJobs) {
        for (JobStatus js : mTrackedJobs) {
            if (js.isReady()) {
                if (DEBUG) {
                    Slog.d(TAG, "Running " + js + " due to network activity.");
                }
                mStateChangedListener.onRunJobNow(js);
            }
        }
    }
}
class ConnectivityChangedReceiver extends BroadcastReceiver {
    /**
     * We'll receive connectivity changes for each user here, which we process independently.
     * We are only interested in the active network here. We're only interested in the active
     * network, b/c the end result of this will be for apps to try to hit the network.
     * @param context The Context in which the receiver is running.
     * @param intent The Intent being received.
     */
    // TODO: Test whether this will be called twice for each user.
    @Override
    public void onReceive(Context context, Intent intent) {
        if (DEBUG) {
            Slog.d(TAG, "Received connectivity event: " + intent.getAction() + " u"
                    + context.getUserId());
        }
        final String action = intent.getAction();
        if (action.equals(ConnectivityManager.CONNECTIVITY_ACTION)) {
            final int networkType =
                    intent.getIntExtra(ConnectivityManager.EXTRA_NETWORK_TYPE,
                            ConnectivityManager.TYPE_NONE);
            // Connectivity manager for THIS context - important!
            final ConnectivityManager connManager = (ConnectivityManager)
                    context.getSystemService(Context.CONNECTIVITY_SERVICE);
            final NetworkInfo activeNetwork = connManager.getActiveNetworkInfo();
            final int userid = context.getUserId();
            // This broadcast gets sent a lot, only update if the active network has changed.
            if (activeNetwork == null) {
            //網(wǎng)絡(luò)未聯(lián)接
                mNetworkUnmetered = false;
                mNetworkConnected = false;
                updateTrackedJobs(userid);
            } else if (activeNetwork.getType() == networkType) {
                mNetworkUnmetered = false;
                mNetworkConnected = !intent.getBooleanExtra(
                        ConnectivityManager.EXTRA_NO_CONNECTIVITY, false);
                if (mNetworkConnected) {  // No point making the call if we know there's no conn.
                    mNetworkUnmetered = !connManager.isActiveNetworkMetered();
                }
            //更新工作任務(wù)
                updateTrackedJobs(userid);
            }
        } else {
            if (DEBUG) {
                Slog.d(TAG, "Unrecognised action in intent: " + action);
            }
        }
    }
};
@Override
public void dumpControllerState(PrintWriter pw) {
    pw.println("Conn.");
    pw.println("connected: " + mNetworkConnected + " unmetered: " + mNetworkUnmetered);
    for (JobStatus js: mTrackedJobs) {
        pw.println(String.valueOf(js.hashCode()).substring(0, 3) + ".."
                + ": C=" + js.hasConnectivityConstraint()
                + ", UM=" + js.hasUnmeteredConstraint());
    }
}
 }

上面是網(wǎng)絡(luò)聯(lián)接控制類ConnectivityController,當(dāng)網(wǎng)絡(luò)發(fā)生改變時,會觸發(fā)網(wǎng)絡(luò)連接改變廣播,然后調(diào)用updateTrackedJobs(userid)方法,在updateTrackedJobs方法中,會判斷網(wǎng)絡(luò)是否有改變,有改變的會調(diào) mStateChangedListener.onControllerStateChanged()方法;這樣又調(diào)用了JobSchedulerService類中onControllerStateChanged方法:

@Override
public void onControllerStateChanged() {
    mHandler.obtainMessage(MSG_CHECK_JOB).sendToTarget();
}

在onControllerStateChanged方法中通過handler發(fā)消息,然后調(diào)用了maybeQueueReadyJobsForExecutionLockedH();

private void maybeQueueReadyJobsForExecutionLockedH() {
        int chargingCount = 0;
        int idleCount =  0;
        int backoffCount = 0;
        int connectivityCount = 0;
        List<JobStatus> runnableJobs = new ArrayList<JobStatus>();
        ArraySet<JobStatus> jobs = mJobs.getJobs();
        for (int i=0; i<jobs.size(); i++) {
            JobStatus job = jobs.valueAt(i);
            if (isReadyToBeExecutedLocked(job)) {
                if (job.getNumFailures() > 0) {
                    backoffCount++;
                }
                if (job.hasIdleConstraint()) {
                    idleCount++;
                }
                if (job.hasConnectivityConstraint() || job.hasUnmeteredConstraint()) {
                    connectivityCount++;
                }
                if (job.hasChargingConstraint()) {
                    chargingCount++;
                }
                runnableJobs.add(job);
            } else if (isReadyToBeCancelledLocked(job)) {
                stopJobOnServiceContextLocked(job);
            }
        }
        if (backoffCount > 0 ||
                idleCount >= MIN_IDLE_COUNT ||
                connectivityCount >= MIN_CONNECTIVITY_COUNT ||
                chargingCount >= MIN_CHARGING_COUNT ||
                runnableJobs.size() >= MIN_READY_JOBS_COUNT) {
            if (DEBUG) {
                Slog.d(TAG, "maybeQueueReadyJobsForExecutionLockedH: Running jobs.");
            }
            for (int i=0; i<runnableJobs.size(); i++) {
          //把待處理的工作任務(wù)加到集合中去
                mPendingJobs.add(runnableJobs.get(i));
            }
        } else {
            if (DEBUG) {
                Slog.d(TAG, "maybeQueueReadyJobsForExecutionLockedH: Not running anything.");
            }
        }
        if (DEBUG) {
            Slog.d(TAG, "idle=" + idleCount + " connectivity=" +
            connectivityCount + " charging=" + chargingCount + " tot=" +
                    runnableJobs.size());
        }
    }

通過上面方法,把待處理的工作任務(wù)加到集合中,然后再調(diào) maybeRunPendingJobsH();這個前面已提到過,就不再說了,一樣的;

理解JobScheduler機(jī)制

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