Hello Ted, No, the training ran also in one machine. What happens sometimes is that each box execute one job one at a time, but not together. For example, if it will run 3 jobs, it runs the first job in box1, the next in box2 and the next in box 1 again.
The full dataset is a csv around 70MB. I turned it into sequence file, applied seq2sparse, then splitted and trained. The training task was quite fast, some minutes to execute. But the test is really slow as I said, and also running in one machine. 2013/12/1 Ted Dunning <ted.dunn...@gmail.com> > Did the training run use both machines? > > How large is the input for the test run? > > Is it contained in a single file? > > > > > On Sat, Nov 30, 2013 at 11:22 AM, Fernando Santos < > fernandoleandro1...@gmail.com> wrote: > > > Hello everyone, > > > > I'm trying to do a text classification task. My dataset is not that big, > I > > have around 700.000 small comments. > > > > Following the 20newsgroups example, I created the vector from the text, > > splited it and trained the model. Now I'm trying to test it but it is > > really slow and also I cannot make it to run in the cluster. Whatever I > do > > it always just run in one machine. And I think the testnb algorithm is > > supposed to run using mapReduce, right? > > > > I also tried this example here ( > > > > > http://chimpler.wordpress.com/2013/06/24/using-the-mahout-naive-bayes-classifier-to-automatically-classify-twitter-messages-part-2-distribute-classification-with-hadoop/ > > ) > > but also, the other box in the cluster is not executing any task. In > fact, > > when I execute the testnb or using the MapReduceClassifier proposed in > this > > tutorial above, I get one job, executing one task and this task runs > really > > slowly (like 6 minutes to achieve 0.13% of the task). > > > > I think I must be doing something wrong so that the cluster is not > working > > how it is supposed to be. > > > > I have a cluster with 2 box configured with hadoop 0.20.205.0 and using > > mahout 0.8. > > > > I also tried versions 0.7 and 0.6 of mahout but nothing changed. > > > > Any help would be aprreciated. > > > > > > The logs I have from this task: > > > > > > *stdout logs* > > > > Java HotSpot(TM) 64-Bit Server VM warning: You have loaded library > > /usr/local/hadoop/lib/libhadoop.so which might have disabled stack > > guard. The VM will try to fix the stack guard now. > > It's highly recommended that you fix the library with 'execstack -c > > <libfile>', or link it with '-z noexecstack'. > > > > > > *syslog logs* > > > > 2013-11-30 17:09:19,191 WARN org.apache.hadoop.util.NativeCodeLoader: > > Unable to load native-hadoop library for your platform... using > > builtin-java classes where applicable > > 2013-11-30 17:09:19,400 WARN > > org.apache.hadoop.metrics2.impl.MetricsSystemImpl: Source name ugi > > already exists! > > 2013-11-30 17:09:19,472 INFO org.apache.hadoop.util.ProcessTree: > > setsid exited with exit code 0 > > 2013-11-30 17:09:19,474 INFO org.apache.hadoop.mapred.Task: Using > > ResourceCalculatorPlugin : > > org.apache.hadoop.util.LinuxResourceCalculatorPlugin@5810d963 > > 2013-11-30 17:09:19,543 INFO org.apache.hadoop.mapred.MapTask: io.sort.mb > > = 100 > > 2013-11-30 17:09:19,569 INFO org.apache.hadoop.mapred.MapTask: data > > buffer = 79691776/99614720 > > 2013-11-30 17:09:19,569 INFO org.apache.hadoop.mapred.MapTask: record > > buffer = 262144/327680 > > > > > > > > > > > > -- > > Fernando Santos > > +55 61 8129 8505 > > > -- Fernando Santos +55 61 8129 8505
