Android JobScheduler onStartJob多次调用 [英] Android JobScheduler onStartJob called multiple times

问题描述

尽管作业已完成，JobScheduler会多次调用onStartJob().如果我只安排一项工作，然后等到完成，一切都会很好.但是，如果我同时调度两个或多个具有不同ID的作业，则在调用jobFinished()之后会再次调用onStartJob().

The JobScheduler calls onStartJob() multiple times, although the job finished. Everything works fine, if I schedule one single job and wait until it has finished. However, if I schedule two or more jobs with different IDs at the same time, then onStartJob() is called again after invoking jobFinished().

例如，我计划作业1和作业2使用除ID之外的完全相同的参数，则顺序为:

For example I schedule job 1 and job 2 with exactly the same parameters except the ID, then the order is:

1. onStartJob()用于作业1和作业2
2. 这两个作业都完成了，所以都为它们调用了jobFinished()
3. 之后，对于具有相同ID的两个作业，再次调用onStartJob()

1. onStartJob() for job 1 and job 2
2. Both jobs finish, so jobFinished() is invoked for both of them
3. After that onStartJob() is called again for both jobs with the same ID

我的工作很基础，并不复杂.

My job is very basic and not complicated.

public class MyJobService extends JobService {

    @Override
    public boolean onStartJob(final JobParameters params) {
        new Thread(new Runnable() {
            @Override
            public void run() {
                try {
                    // do something

                } finally {
                    // do not reschedule
                    jobFinished(params, false);
                }
            }
        }).start();

        // yes, job running in the background
        return true;
    }

    @Override
    public boolean onStopJob(JobParameters params) {
        // mark my background task as stopped

        // do not reschedule
        return false;
    }
}

我安排这样的工作

JobInfo jobInfo = createBaseBuilder(request)
        .setMinimumLatency(2_000L)
        .setOverrideDeadline(4_000L)
        .setRequiresCharging(false)
        .setRequiredNetworkType(JobInfo.NETWORK_TYPE_ANY)
        .build();

int scheduleResult = mJobScheduler.schedule(jobInfo);
// is always success

我不知道怎么了.

推荐答案

我猜这是由待处理的Job引起的，因此在服务启动后我调用了mJobScheduler.cancelAll()，问题已解决.

I guess it's caused by the pending Job, so I call mJobScheduler.cancelAll() after the service started, problem resolved.

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