Hello, Using hadoop distribution is possible (here cdh4.1.2) : An archive is mandatory by haddop-mesos framework, so I created and deployed a small dummy file that does not cost so much to get and untar.
In mapred-site.xml, override mapred.mesos.executor.directory and mapred.mesos.executor.command so I use mesos task directory for my job and deployed cloudera tasktracker to execute. + <property> + <name>mapred.mesos.executor.uri</name> + <value>hdfs://hdfscluster/tmp/dummy.tar.gz</value> + </property> + <property> + <name>mapred.mesos.executor.directory</name> + <value>./</value> + </property> + <property> + <name>mapred.mesos.executor.command</name> + <value>. /etc/default/hadoop-0.20; env ; $HADOOP_HOME/bin/hadoop org.apache.hadoop.mapred.MesosExecutor</value> + </property> Add some envar in /etc/default/hadoop-0.20 so hadoop services can find hadoop-mesos jar and libmesos : +export HADOOP_CLASSPATH=/usr/lib/hadoop-mesos/hadoop-mesos.jar:$HADOOP_HOME/contrib/fairscheduler/hadoop-fairscheduler-2.0.0-mr1-cdh4.1.2.jar:$HADOOP_CLASSPATH +export MESOS_NATIVE_LIBRARY=/usr/lib/libmesos.so I created an hadoop-mesos deb to be deployed with hadoop ditribution. My goal is to limit -copyToLocal of TT code for each mesos tasks, and no need for special manipulation in Hadoop Distribution code (only config) Regards, Le 31/12/2013 16:45, Damien Hardy a écrit : > I'm now able to use snappy compression by adding > > export JAVA_LIBRARY_PATH=/usr/lib/hadoop/lib/native/ > in my /etc/default/mesos-slave (environment variable for mesos-slave > process used by my init.d script) > > This envar is propagated to executor Jvm and so taskTracker can find > libsnappy.so to use it. > > Starting using local deployement of cdh4 ... > > Reading at the source it seams that something could be done using > mapred.mesos.executor.directory and mapred.mesos.executor.command > to use local hadoop. > > > Le 31/12/2013 15:08, Damien Hardy a écrit : >> Hello, >> >> Happy new year 2014 @mesos users. >> >> I am trying to get MapReduce cdh4.1.2 running on Mesos. >> >> Seams working mostly but few things are still problematic. >> >> * MR1 code is already deployed locally with HDFS is there a way to use >> it instead of tar.gz stored on HDFS to be copied locally and untar. >> >> * If not, using tar.gz distribution of cdh4 seams not supporting >> Snappy compression. is there a way to correct it ? >> >> Best regards, >> > -- Damien HARDY IT Infrastructure Architect Viadeo - 30 rue de la Victoire - 75009 Paris - France PGP : 45D7F89A
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