Thanks Sebastian for the suggestions. I came over this by using low value
for topN(2000) than 10000. I decided to use lower value for topN with more
rounds.


On Sun, Mar 3, 2013 at 3:41 PM, Sebastian Nagel
<[email protected]>wrote:

> Hi Kiran,
>
> there are many possible reasons for the problem. Beside the limits on the
> number of processes
> the stack size in the Java VM and the system (see java -Xss and ulimit -s).
>
> I think in local mode there should be only one mapper and consequently only
> one thread spent for parsing. So the number of processes/threads is hardly
> the
> problem suggested that you don't run any other number crunching tasks in
> parallel
> on your desktop.
>
> Luckily, you should be able to retry via "bin/nutch parse ..."
> Then trace the system and the Java process to catch the reason.
>
> Sebastian
>
> On 03/02/2013 08:13 PM, kiran chitturi wrote:
> > Sorry, i am looking to crawl 400k documents with the crawl. I said 400 in
> > my last message.
> >
> >
> > On Sat, Mar 2, 2013 at 2:12 PM, kiran chitturi <
> [email protected]>wrote:
> >
> >> Hi!
> >>
> >> I am running Nutch 1.6 on a 4 GB Mac OS desktop with Core i5 2.8GHz.
> >>
> >> Last night i started a crawl on local mode for 5 seeds with the config
> >> given below. If the crawl goes well, it should fetch a total of 400
> >> documents. The crawling is done on a single host that we own.
> >>
> >> Config
> >> ---------------------
> >>
> >> fetcher.threads.per.queue - 2
> >> fetcher.server.delay - 1
> >> fetcher.throughput.threshold.pages - -1
> >>
> >> crawl script settings
> >> ----------------------------
> >> timeLimitFetch- 30
> >> numThreads - 5
> >> topN - 10000
> >> mapred.child.java.opts=-Xmx1000m
> >>
> >>
> >> I have noticed today that the crawl has stopped due to an error and i
> have
> >> found the below error in logs.
> >>
> >> 2013-03-01 21:45:03,767 INFO  parse.ParseSegment - Parsed (0ms):
> >>> http://scholar.lib.vt.edu/ejournals/JARS/v33n3/v33n3-letcher.htm
> >>> 2013-03-01 21:45:03,790 WARN  mapred.LocalJobRunner - job_local_0001
> >>> java.lang.OutOfMemoryError: unable to create new native thread
> >>>         at java.lang.Thread.start0(Native Method)
> >>>         at java.lang.Thread.start(Thread.java:658)
> >>>         at
> >>>
> java.util.concurrent.ThreadPoolExecutor.addThread(ThreadPoolExecutor.java:681)
> >>>         at
> >>>
> java.util.concurrent.ThreadPoolExecutor.addIfUnderMaximumPoolSize(ThreadPoolExecutor.java:727)
> >>>         at
> >>>
> java.util.concurrent.ThreadPoolExecutor.execute(ThreadPoolExecutor.java:655)
> >>>         at
> >>>
> java.util.concurrent.AbstractExecutorService.submit(AbstractExecutorService.java:92)
> >>>         at
> org.apache.nutch.parse.ParseUtil.runParser(ParseUtil.java:159)
> >>>         at org.apache.nutch.parse.ParseUtil.parse(ParseUtil.java:93)
> >>>         at
> org.apache.nutch.parse.ParseSegment.map(ParseSegment.java:97)
> >>>         at
> org.apache.nutch.parse.ParseSegment.map(ParseSegment.java:44)
> >>>         at org.apache.hadoop.mapred.MapRunner.run(MapRunner.java:50)
> >>>         at
> org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:436)
> >>>         at org.apache.hadoop.mapred.MapTask.run(MapTask.java:372)
> >>>         at
> >>>
> org.apache.hadoop.mapred.LocalJobRunner$Job.run(LocalJobRunner.java:212)
> >>> (END)
> >>
> >>
> >>
> >> Did anyone run in to the same issue ? I am not sure why the new native
> >> thread is not being created. The link here says [0] that it might due to
> >> the limitation of number of processes in my OS. Will increase them solve
> >> the issue ?
> >>
> >>
> >> [0] - http://ww2.cs.fsu.edu/~czhang/errors.html
> >>
> >> Thanks!
> >>
> >> --
> >> Kiran Chitturi
> >>
> >
> >
> >
>
>


-- 
Kiran Chitturi

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