any comments??? 2011/4/28 baran cakici <barancak...@gmail.com>
> Hi Everyone, > > I have a Cluster with one Master(JobTracker and NameNode - Intel Core2Duo 2 > GB Ram) and four Slaves(Datanode and Tasktracker - Celeron 2 GB Ram). My > Inputdata are between 2GB-10GB and I read Inputdata in MapReduce line by > line. Now, I try to accelerate my System(Benchmark), but I'm not sure, if my > Configuration is correctly. Can you please just look, if it is ok? > > -mapred-site.xml > > <property> > <name>mapred.job.tracker</name> > <value>apple:9001</value> > </property> > > <property> > <name>mapred.child.java.opts</name> > <value>-Xmx512m -server</value> > </property> > > <property> > <name>mapred.job.tracker.handler.count</name> > <value>2</value> > </property> > > <property> > <name>mapred.local.dir</name> > <value>/cygwin/usr/local/hadoop-datastore/hadoop-Baran/mapred/local</value> > </property> > > <property> > <name>mapred.map.tasks</name> > <value>1</value> > </property> > > <property> > <name>mapred.reduce.tasks</name> > <value>4</value> > </property> > > <property> > <name>mapred.submit.replication</name> > <value>2</value> > </property> > > <property> > <name>mapred.system.dir</name> > > <value>/cygwin/usr/local/hadoop-datastore/hadoop-Baran/mapred/system</value> > </property> > > <property> > <name>mapred.tasktracker.indexcache.mb</name> > <value>10</value> > </property> > > <property> > <name>mapred.tasktracker.map.tasks.maximum</name> > <value>1</value> > </property> > > <property> > <name>mapred.tasktracker.reduce.tasks.maximum</name> > <value>4</value> > </property> > > <property> > <name>mapred.temp.dir</name> > <value>/cygwin/usr/local/hadoop-datastore/hadoop-Baran/mapred/temp</value> > </property> > > <property> > <name>webinterface.private.actions</name> > <value>true</value> > </property> > > <property> > <name>mapred.reduce.slowstart.completed.maps</name> > <value>0.01</value> > </property> > > -hdfs-site.xml > > <property> > <name>dfs.block.size</name> > <value>268435456</value> > </property> > PS: I extended dfs.block.size, because I won 50% better performance with > this change. > > I am waiting for your comments... > > Regards, > > Baran >
