- Do nothing. Let the job fail and log the error.
- Retry continuously until the job succeeds.
- Retry n times and then disable the job.
If you want to keep trying over and over again until the job succeeds, all you have to do is throw a
JobExecutionException with a flag to tell the scheduler to fire it again when it fails. The following code shows how:
class MyJob implements Job {
public MyJob() {
}
public void execute(JobExecutionContext context)
throws JobExecutionException {
try{
//do something
}
catch(Exception e){
Thread.sleep(10000); //sleep for 10 secs
JobExecutionException e2 = new JobExecutionException(e);
//fire it again
e2.refireImmediately();
throw e2;
}
}
}
Retrying n times:It gets a bit more complicated if you want to retry a certain number of times only. You have to use a
StatefulJob and hold a retryCounter in its JobDataMap, which you increment if the job fails. If the counter exceeds the maximum number of retries, then you can disable the job if you wish.
class MyJob implements StatefulJob {
public MyJob() {
}
public void execute(JobExecutionContext context)
throws JobExecutionException {
JobDataMap dataMap = context.getJobDetail().getJobDataMap();
int count = dataMap.getIntValue("count");
// allow 5 retries
if(count >= 5){
JobExecutionException e = new JobExecutionException("Retries exceeded");
//unschedule it so that it doesn't run again
e.setUnscheduleAllTriggers(true);
throw e;
}
try{
//do something
//reset counter back to 0
dataMap.putAsString("count", 0);
}
catch(Exception e){
count++;
dataMap.putAsString("count", count);
JobExecutionException e2 = new JobExecutionException(e);
Thread.sleep(10000); //sleep for 10 secs
//fire it again
e2.refireImmediately();
throw e2;
}
}
}
