Thanks! Because of your information, I managed to find out that my crashes
have to do with the somewhat standard 'Too many open files'.
I added some 'close' and 'disconnect' to my InputStreams and
HttpURLConnections, but that only works up to a certain point.
The strange thing is that I do execute 'ulimit -n 32768', but I'm thinking
it somehow 'won't' stick.
The other alternative is that Hadoop is using 32768 file descriptors, but
that seems a bit over the top, as I'm using at most 200 threads (each of
which only sets up one HttpURLConnection).

Suggestions are welcome :-)

On Mon, Aug 3, 2009 at 3:58 PM, Jason Venner <[email protected]> wrote:

> That generally means that the process that is running the task, crashed.
> The actual map/reduce task is run in a separate jvm by the task tracker,
> and that JVM is exiting abnormally.
> This used to happen to my jobs quite a bit when they were using a buggy
> native library via jni.
>
> If you are trying to use the colorspace transforms via the java imaging
> APIs, it is not thread safe (at least through 1.6.10 under linux).
>
> There may be additional information available in the per task logs.
>
> 2009/8/3 Mathias De Maré <[email protected]>
>
> I'm getting a rather cryptic error while running a Map job with
>> MultithreadedMapper (no idea if it has anything to do with the
>> MultithreadedMapper).
>> It only occurs sometimes, occurs at different times during the Map
>> (sometimes at the start, sometimes at a random location), and it doesn't
>> really give any information.
>>
>> Task Id : attempt_200908031207_0009_m_000000_0, Status : FAILED
>> java.io.IOException: Task process exit with nonzero status of 255.
>>    at org.apache.hadoop.mapred.TaskRunner.run(TaskRunner.java:418)
>>
>> I'm a bit at a loss. The only results I'm finding from Google are a few
>> other people who have had the same problem, but nobody with a solution.
>>
>> Mathias De Maré
>>
>
>
>
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