Hi, I am running a small map reduce job over only 474 entities (as a test 
on my server).

It appears that immediately (despite the fact all my quota should be 
replenished now) I am reaching my task queue quota:
/mapreduce/mapperCallback 200 541ms 0kb AppEngine-Google; 
(+http://code.google.com/appengine)
*...*

com.google.appengine.tools.mapreduce.v2.impl.handlers.Worker processMapper: Out 
of mapper quota. Aborting request until quota is replenished. Consider 
increasing mapreduce.mapper.inputprocessingrate (default 1000) if you would 
like your mapper job to complete faster.


*This is how I have define my default task queue:*

<queue>
        <name>default</name>
        <rate>200/s</rate>
        <bucket-size>50</bucket-size>
</queue>


*This is what my quota page looks like (after the job has completed):*

Tasks Daily QuotaTask Queue API Calls
[image: 0%]
0%12 of 1,000,000,000Tasks Storage QuotaTask Queue Stored Task Count
[image: 0%]
0%6 of 10,000,900,000Task Queue Stored Task Bytes
[image: 0%]
0%0.00 of 0.49 GBytes
*Can someone let me know what could be wrong? There is not even a dent in 
the Quota ( my application is a billing enabled one ).*

*Browsing around here I have found that when using the mutation pool I 
needed to incude ( So I did, to no success ):*
 @Override
public void taskCleanup(Context context) {
try {
// make sure to call super classes taskCleanup so that the 
DatastoreMutationPool
// gets flushed properly otherwise puts/deletes can be lost;
super.taskCleanup(context);
} catch (Exception ex) {
log.severe(ex.toString());
}
}


Thanks,
Mark




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