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Home/ Questions/Q 3438394
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Editorial Team
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Editorial Team
Asked: May 18, 20262026-05-18T08:10:57+00:00 2026-05-18T08:10:57+00:00

I am trying to setup a mapper job on Google app engine using the

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I am trying to setup a mapper job on Google app engine using the mapper framework here (java version): http://code.google.com/p/appengine-mapreduce/

I kicking the job off via code like such:

Configuration conf = new Configuration(false);
conf.setClass("mapreduce.map.class", MyMapper.class, Mapper.class);
conf.setClass("mapreduce.inputformat.class", DatastoreInputFormat.class, InputFormat.class);
conf.set(DatastoreInputFormat.ENTITY_KIND_KEY, "Organization");

// Queue up the mapper request.
String configString = ConfigurationXmlUtil.convertConfigurationToXml(conf);
Queue queue = GaeQueueFactory.getQueue(QUEUE_NAME);
queue.add(
        Builder.url("/mapreduce/start")
        .param("configuration", configString));

I get the following error in the logs on both the dev server and prod server:

com.google.appengine.tools.mapreduce.MapReduceServlet processMapper: No quota. Aborting!

There is no additional stack trace. This appears about a dozen or so times each time I try kick a job off.

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  1. Editorial Team
    Editorial Team
    2026-05-18T08:10:58+00:00Added an answer on May 18, 2026 at 8:10 am

    I have figured out the issue and am recording this here for anyone else having this problem. What confused me the most about this is that it was working several weeks ago and seems to have stopped sometime recently. Because the app isnt being used in a production environment, no one noticed.

    What changed was that I was sending map requests to a custom ‘mapper’ task queue; not the default task queue. Because I have several mapper jobs, I setup a different queue for all mapper jobs to use:

    <queue>
        <name>mapper</name>
        <rate>5/s</rate>
        <bucket-size>10</bucket-size>
    </queue>
    

    When I switched the code back to using the default queue, everything worked as expected. I have filed a bug with the mapper team here: http://code.google.com/p/appengine-mapreduce/issues/detail?id=73

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