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<h1> 
      Hadoop On Demand: Configuration Guide
    </h1>
<div id="minitoc-area">
<ul class="minitoc">
<li>
<a href="#1.+Introduction">1. Introduction</a>
</li>
<li>
<a href="#2.+Sections">2. Sections</a>
</li>
<li>
<a href="#3.+HOD+Configuration+Options">3. HOD Configuration Options</a>
<ul class="minitoc">
<li>
<a href="#3.1+Common+configuration+options">3.1 Common configuration options</a>
</li>
<li>
<a href="#3.2+hod+options">3.2 hod options</a>
</li>
<li>
<a href="#3.3+resource_manager+options">3.3 resource_manager options</a>
</li>
<li>
<a href="#3.4+ringmaster+options">3.4 ringmaster options</a>
</li>
<li>
<a href="#3.5+gridservice-hdfs+options">3.5 gridservice-hdfs options</a>
</li>
<li>
<a href="#3.6+gridservice-mapred+options">3.6 gridservice-mapred options</a>
</li>
<li>
<a href="#3.7+hodring+options">3.7 hodring options</a>
</li>
</ul>
</li>
</ul>
</div>
    
<a name="N1000C"></a><a name="1.+Introduction"></a>
<h2 class="h3">1. Introduction</h2>
<div class="section">
<p>This document explains some of the most important and commonly used 
      Hadoop On Demand (HOD) configuration options. Configuration options 
      can be specified in two ways: a configuration file 
      in the INI format, and as command line options to the HOD shell, 
      specified in the format --section.option[=value]. If the same option is 
      specified in both places, the value specified on the command line 
      overrides the value in the configuration file.</p>
<p>
        To get a simple description of all configuration options, type:
      </p>
<table class="ForrestTable" cellspacing="1" cellpadding="4">
<tr>
<td colspan="1" rowspan="1"><span class="codefrag">$ hod --verbose-help</span></td>
</tr>
</table>
</div>
    
    
<a name="N10021"></a><a name="2.+Sections"></a>
<h2 class="h3">2. Sections</h2>
<div class="section">
<p>HOD organizes configuration options into these sections:</p>
<ul>
        
<li>  hod:                  Options for the HOD client</li>
        
<li>  resource_manager:     Options for specifying which resource manager
         to use, and other parameters for using that resource manager</li>
        
<li>  ringmaster:           Options for the RingMaster process, </li>
        
<li>  hodring:              Options for the HodRing processes</li>
        
<li>  gridservice-mapred:   Options for the Map/Reduce daemons</li>
        
<li>  gridservice-hdfs:     Options for the HDFS daemons.</li>
      
</ul>
</div>
    
    
<a name="N10040"></a><a name="3.+HOD+Configuration+Options"></a>
<h2 class="h3">3. HOD Configuration Options</h2>
<div class="section">
<p>The following section describes configuration options common to most 
      HOD sections followed by sections that describe configuration options 
      specific to each HOD section.</p>
<a name="N10049"></a><a name="3.1+Common+configuration+options"></a>
<h3 class="h4">3.1 Common configuration options</h3>
<p>Certain configuration options are defined in most of the sections of 
        the HOD configuration. Options defined in a section, are used by the
        process for which that section applies. These options have the same
        meaning, but can have different values in each section.
        </p>
<ul>
          
<li>temp-dir: Temporary directory for usage by the HOD processes. Make 
                      sure that the users who will run hod have rights to create 
                      directories under the directory specified here. If you
                      wish to make this directory vary across allocations,
                      you can make use of the environmental variables which will
                      be made available by the resource manager to the HOD
                      processes. For example, in a Torque setup, having
                      --ringmaster.temp-dir=/tmp/hod-temp-dir.$PBS_JOBID would
                      let ringmaster use different temp-dir for each
                      allocation; Torque expands this variable before starting
                      the ringmaster.</li>
          
          
<li>debug: Numeric value from 1-4. 4 produces the most log information,
                   and 1 the least.</li>
          
          
<li>log-dir: Directory where log files are stored. By default, this is
                     &lt;install-location&gt;/logs/. The restrictions and notes for the
                     temp-dir variable apply here too.
          </li>
          
          
<li>xrs-port-range: Range of ports, among which an available port shall
                            be picked for use to run an XML-RPC server.</li>
          
          
<li>http-port-range: Range of ports, among which an available port shall
                             be picked for use to run an HTTP server.</li>
          
          
<li>java-home: Location of Java to be used by Hadoop.</li>
          
<li>syslog-address: Address to which a syslog daemon is bound to. The format 
                              of the value is host:port. If configured, HOD log messages
                              will be logged to syslog using this value.</li>
                              
        
</ul>
<a name="N1006B"></a><a name="3.2+hod+options"></a>
<h3 class="h4">3.2 hod options</h3>
<ul>
          
<li>cluster: Descriptive name given to the cluster. For Torque, this is
                     specified as a 'Node property' for every node in the cluster.
                     HOD uses this value to compute the number of available nodes.</li>
          
          
<li>client-params: Comma-separated list of hadoop config parameters
                           specified as key-value pairs. These will be used to
                           generate a hadoop-site.xml on the submit node that 
                           should be used for running Map/Reduce jobs.</li>
          
<li>job-feasibility-attr: Regular expression string that specifies
                           whether and how to check job feasibility - resource
                           manager or scheduler limits. The current
                           implementation corresponds to the torque job
                           attribute 'comment' and by default is disabled.
                           When set, HOD uses it to decide what type
                           of limit violation is triggered and either
                           deallocates the cluster or stays in queued state
                           according as the request is beyond maximum limits or
                           the cumulative usage has crossed maximum limits. 
                           The torque comment attribute may be updated
                           periodically by an external mechanism. For example,
                           comment attribute can be updated by running <a href="hod_admin_guide.html#checklimits.sh+-+Tool+to+update+torque+comment+field+reflecting+resource+limits">
                           checklimits.sh</a> script in hod/support directory,
                           and then setting job-feasibility-attr equal to the
                           value TORQUE_USER_LIMITS_COMMENT_FIELD,
                           "User-limits exceeded. Requested:([0-9]*)
                           Used:([0-9]*) MaxLimit:([0-9]*)", will make HOD
                           behave accordingly.
                           </li>
         
</ul>
<a name="N10082"></a><a name="3.3+resource_manager+options"></a>
<h3 class="h4">3.3 resource_manager options</h3>
<ul>
          
<li>queue: Name of the queue configured in the resource manager to which
                   jobs are to be submitted.</li>
          
          
<li>batch-home: Install directory to which 'bin' is appended and under 
                        which the executables of the resource manager can be 
                        found.</li> 
          
          
<li>env-vars: Comma-separated list of key-value pairs, 
                      expressed as key=value, which would be passed to the jobs 
                      launched on the compute nodes. 
                      For example, if the python installation is 
                      in a non-standard location, one can set the environment
                      variable 'HOD_PYTHON_HOME' to the path to the python 
                      executable. The HOD processes launched on the compute nodes
                      can then use this variable.</li>
          
<li>options: Comma-separated list of key-value pairs,
                      expressed as
                      &lt;option&gt;:&lt;sub-option&gt;=&lt;value&gt;. When
                      passing to the job submission program, these are expanded
                      as -&lt;option&gt; &lt;sub-option&gt;=&lt;value&gt;. These
                      are generally used for specifying additional resource
                      contraints for scheduling. For instance, with a Torque
                      setup, one can specify
                      --resource_manager.options='l:arch=x86_64' for
                      constraining the nodes being allocated to a particular
                      architecture; this option will be passed to Torque's qsub
                      command as "-l arch=x86_64".</li>
        
</ul>
<a name="N10098"></a><a name="3.4+ringmaster+options"></a>
<h3 class="h4">3.4 ringmaster options</h3>
<ul>
          
<li>work-dirs: Comma-separated list of paths that will serve
                       as the root for directories that HOD generates and passes
                       to Hadoop for use to store DFS and Map/Reduce data. For
                       example,
                       this is where DFS data blocks will be stored. Typically,
                       as many paths are specified as there are disks available
                       to ensure all disks are being utilized. The restrictions
                       and notes for the temp-dir variable apply here too.</li>
          
<li>max-master-failures: Number of times a hadoop master
                       daemon can fail to launch, beyond which HOD will fail
                       the cluster allocation altogether. In HOD clusters,
                       sometimes there might be a single or few "bad" nodes due
                       to issues like missing java, missing or incorrect version
                       of Hadoop etc. When this configuration variable is set
                       to a positive integer, the RingMaster returns an error
                       to the client only when the number of times a hadoop
                       master (JobTracker or NameNode) fails to start on these
                       bad nodes because of above issues, exceeds the specified
                       value. If the number is not exceeded, the next HodRing
                       which requests for a command to launch is given the same
                       hadoop master again. This way, HOD tries its best for a
                       successful allocation even in the presence of a few bad
                       nodes in the cluster.
                       </li>
          
<li>workers_per_ring: Number of workers per service per HodRing.
                       By default this is set to 1. If this configuration
                       variable is set to a value 'n', the HodRing will run
                       'n' instances of the workers (TaskTrackers or DataNodes)
                       on each node acting as a slave. This can be used to run
                       multiple workers per HodRing, so that the total number of
                       workers  in a HOD cluster is not limited by the total
                       number of nodes requested during allocation. However, note
                       that this will mean each worker should be configured to use
                       only a proportional fraction of the capacity of the 
                       resources on the node. In general, this feature is only
                       useful for testing and simulation purposes, and not for
                       production use.</li>
        
</ul>
<a name="N100AB"></a><a name="3.5+gridservice-hdfs+options"></a>
<h3 class="h4">3.5 gridservice-hdfs options</h3>
<ul>
          
<li>external: If false, indicates that a HDFS cluster must be 
                      bought up by the HOD system, on the nodes which it 
                      allocates via the allocate command. Note that in that case,
                      when the cluster is de-allocated, it will bring down the 
                      HDFS cluster, and all the data will be lost.
                      If true, it will try and connect to an externally configured
                      HDFS system.
                      Typically, because input for jobs are placed into HDFS
                      before jobs are run, and also the output from jobs in HDFS 
                      is required to be persistent, an internal HDFS cluster is 
                      of little value in a production system. However, it allows 
                      for quick testing.</li>
          
          
<li>host: Hostname of the externally configured NameNode, if any</li>
          
          
<li>fs_port: Port to which NameNode RPC server is bound.</li>
          
          
<li>info_port: Port to which the NameNode web UI server is bound.</li>
          
          
<li>pkgs: Installation directory, under which bin/hadoop executable is 
                  located. This can be used to use a pre-installed version of
                  Hadoop on the cluster.</li>
          
          
<li>server-params: Comma-separated list of hadoop config parameters
                           specified key-value pairs. These will be used to
                           generate a hadoop-site.xml that will be used by the
                           NameNode and DataNodes.</li>
          
          
<li>final-server-params: Same as above, except they will be marked final.</li>
        
</ul>
<a name="N100CA"></a><a name="3.6+gridservice-mapred+options"></a>
<h3 class="h4">3.6 gridservice-mapred options</h3>
<ul>
          
<li>external: If false, indicates that a Map/Reduce cluster must be
                      bought up by the HOD system on the nodes which it allocates
                      via the allocate command.
                      If true, if will try and connect to an externally 
                      configured Map/Reduce system.</li>
          
          
<li>host: Hostname of the externally configured JobTracker, if any</li>
          
          
<li>tracker_port: Port to which the JobTracker RPC server is bound</li>
          
          
<li>info_port: Port to which the JobTracker web UI server is bound.</li>
          
          
<li>pkgs: Installation directory, under which bin/hadoop executable is 
                  located</li>
          
          
<li>server-params: Comma-separated list of hadoop config parameters
                           specified key-value pairs. These will be used to
                           generate a hadoop-site.xml that will be used by the
                           JobTracker and TaskTrackers</li>
          
          
<li>final-server-params: Same as above, except they will be marked final.</li>
        
</ul>
<a name="N100E9"></a><a name="3.7+hodring+options"></a>
<h3 class="h4">3.7 hodring options</h3>
<ul>
          
<li>mapred-system-dir-root: Directory in the DFS under which HOD will
                                      generate sub-directory names and pass the full path
                                      as the value of the 'mapred.system.dir' configuration 
                                      parameter to Hadoop daemons. The format of the full 
                                      path will be value-of-this-option/userid/mapredsystem/cluster-id.
                                      Note that the directory specified here should be such
                                      that all users can create directories under this, if
                                      permissions are enabled in HDFS. Setting the value of
                                      this option to /user will make HOD use the user's
                                      home directory to generate the mapred.system.dir value.</li>

          
<li>log-destination-uri: URL describing a path in an external, static DFS or the 
                                   cluster node's local file system where HOD will upload 
                                   Hadoop logs when a cluster is deallocated. To specify a 
                                   DFS path, use the format 'hdfs://path'. To specify a 
                                   cluster node's local file path, use the format 'file://path'.

                                   When clusters are deallocated by HOD, the hadoop logs will
                                   be deleted as part of HOD's cleanup process. To ensure these
                                   logs persist, you can use this configuration option.

                                   The format of the path is 
                                   value-of-this-option/userid/hod-logs/cluster-id

                                   Note that the directory you specify here must be such that all
                                   users can create sub-directories under this. Setting this value
                                   to hdfs://user will make the logs come in the user's home directory
                                   in DFS.</li>

          
<li>pkgs: Installation directory, under which bin/hadoop executable is located. This will
                    be used by HOD to upload logs if a HDFS URL is specified in log-destination-uri
                    option. Note that this is useful if the users are using a tarball whose version
                    may differ from the external, static HDFS version.</li>
                                      
        
</ul>
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