Hi again, In document, They made configuration maximum of 2 Mappers and 2 Reducers available. If you use local mode you can only run 1 Map and 1 Reduce slot. You should install hadoop for mapreduce calculating or you can use apache whirr for instalation. But your main problem is running style. You should run deploy mod.
Talat 2013/12/29 Law-Firms-In.com <[email protected]> > Hi Yazdi, > > thank you for your reply. > > I am running on a single server currently (1 server). > > In my hbase (hbase-0.90.6/conf) folder I see the following files: > > hadoop-metrics.properties > hbase-env.sh > hbase-site.xml > log4j.properties > regionservers > > I dont see the files you ask for. Please let me know what info might > help you pinpoint the problem. > > Greetings, > > Domi > > > On 12/28/2013 10:42 PM, Talat Uyarer wrote: > > Hi, > > > > May i ask you do you run on local mode with one server. If you will say > no. > > Can you share with me your mapred-site.xml or you can share job.xml > options > > with your cluster infrastructer. > > > > Thanks > > Talat > > 28 Ara 2013 21:39 tarihinde "Law-Firms-In.com" < > [email protected]> > > yazdı: > > > >> Hello all, > >> > >> I wanted to inquiry about the general performance of nutch. I have seen > >> this page here > >> (http://digitalpebble.blogspot.cz/2013/09/nutch-fight-17-vs-221.html) > >> where it takes > >> > >> 78minutes > >> > >> for 1 iteration with 3M urls/ 5K per iteration with 100 urls/host. > >> > >> I have myself the same setup as in the test but with currently only > >> around 70k urls in the database. > >> > >> The steps fetch/parse go very quick but the steps generate/update take > >> both _forever_. I have for 1 run about 12 hours and by far the most time > >> is spent at update followed by generate. > >> > >> Is there ANYTHING I can do to speedup the process? I have a strong > >> dedicated server with 52GB RAM. One thing I notice is that during > >> generate/update ALL available RAM is used (Mem: 52438M total, > >> 52267M used, 170M free, 191M buffers). > >> > >> I am thankful for any help/feedback! > >> > >> Domi > >> > >> > >> > > -- Talat UYARER Websitesi: http://talat.uyarer.com Twitter: http://twitter.com/talatuyarer Linkedin: http://tr.linkedin.com/pub/talat-uyarer/10/142/304
