Hello,

Seams that a directory is not supported here ("cp omitting directory
/usr/lib/hadoop-0.20-mapreduce/" and failing then in 256 error in stderr)

But this work (I was first disappointed by using file:// schema as an uri) :

```
  <property>
    <name>mapred.mesos.executor.uri</name>
    <value>/usr/lib/hadoop-0.20-mapreduce/bin/hadoop</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
org.apache.hadoop.mapred.MesosExecutor</value>
  </property>
```

just copying the `bin/hadoop` command in framework directory and using it.


Le 02/01/2014 19:17, Florian Leibert a écrit :
> Hi Damien -
> Sorry for responding to this a bit late.
> 
> Snappy should be enabled if you follow the steps in this tutorial:
> "http://mesosphere.io/learn/run-hadoop-on-mesos/";. You can set an
> alternate location for the hadoop distribution by changing the
> "mapred.mesos.executor.uri" - i.e. you can use a local directory / file
> here.
> 
> I hope this helps!
> 
> Cheers & happy new year,
> --Flo
> ᐧ
> 
> 
> On Thu, Jan 2, 2014 at 8:45 AM, Damien Hardy <[email protected]
> <mailto:[email protected]>> wrote:
> 
>     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
> 
> 

-- 
Damien HARDY
IT Infrastructure Architect
Viadeo - 30 rue de la Victoire - 75009 Paris - France
PGP : 45D7F89A

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