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- <h1>Capacity Scheduler</h1>
- <div id="minitoc-area">
- <ul class="minitoc">
- <li>
- <a href="#Purpose">Purpose</a>
- </li>
- <li>
- <a href="#Features">Features</a>
- </li>
- <li>
- <a href="#Picking+a+task+to+run">Picking a task to run</a>
- </li>
- <li>
- <a href="#Reclaiming+capacity">Reclaiming capacity</a>
- </li>
- <li>
- <a href="#Installation">Installation</a>
- </li>
- <li>
- <a href="#Configuration">Configuration</a>
- <ul class="minitoc">
- <li>
- <a href="#Using+the+capacity+scheduler">Using the capacity scheduler</a>
- </li>
- <li>
- <a href="#Setting+up+queues">Setting up queues</a>
- </li>
- <li>
- <a href="#Configuring+properties+for+queues">Configuring properties for queues</a>
- </li>
- <li>
- <a href="#Reviewing+the+configuration+of+the+capacity+scheduler">Reviewing the configuration of the capacity scheduler</a>
- </li>
- </ul>
- </li>
- </ul>
- </div>
-
-
- <a name="N1000D"></a><a name="Purpose"></a>
- <h2 class="h3">Purpose</h2>
- <div class="section">
- <p>This document describes the Capacity Scheduler, a pluggable Map/Reduce scheduler for Hadoop which provides a way to share large clusters.</p>
- </div>
-
-
- <a name="N10017"></a><a name="Features"></a>
- <h2 class="h3">Features</h2>
- <div class="section">
- <p>The Capacity Scheduler supports the following features:</p>
- <ul>
-
- <li>
- Support for multiple queues, where a job is submitted to a queue.
- </li>
-
- <li>
- Queues are guaranteed a fraction of the capacity of the grid (their
- 'guaranteed capacity') in the sense that a certain capacity of
- resources will be at their disposal. All jobs submitted to a
- queue will have access to the capacity guaranteed to the queue.
- </li>
-
- <li>
- Free resources can be allocated to any queue beyond its guaranteed
- capacity. These excess allocated resources can be reclaimed and made
- available to another queue in order to meet its capacity guarantee.
- </li>
-
- <li>
- The scheduler guarantees that excess resources taken from a queue
- will be restored to it within N minutes of its need for them.
- </li>
-
- <li>
- Queues optionally support job priorities (disabled by default).
- </li>
-
- <li>
- Within a queue, jobs with higher priority will have access to the
- queue's resources before jobs with lower priority. However, once a
- job is running, it will not be preempted for a higher priority job.
- </li>
-
- <li>
- In order to prevent one or more users from monopolizing its
- resources, each queue enforces a limit on the percentage of
- resources allocated to a user at any given time, if there is
- competition for them.
- </li>
-
- <li>
- Support for memory-intensive jobs, wherein a job can optionally
- specify higher memory-requirements than the default, and the tasks
- of the job will only be run on TaskTrackers that have enough memory
- to spare.
- </li>
-
- </ul>
- </div>
-
-
- <a name="N1003C"></a><a name="Picking+a+task+to+run"></a>
- <h2 class="h3">Picking a task to run</h2>
- <div class="section">
- <p>Note that many of these steps can be, and will be, enhanced over time
- to provide better algorithms.</p>
- <p>Whenever a TaskTracker is free, the Capacity Scheduler first picks a
- queue that needs to reclaim any resources the earliest (this is a queue
- whose resources were temporarily being used by some other queue and now
- needs access to those resources). If no such queue is found, it then picks
- a queue which has most free space (whose ratio of # of running slots to
- guaranteed capacity is the lowest).</p>
- <p>Once a queue is selected, the scheduler picks a job in the queue. Jobs
- are sorted based on when they're submitted and their priorities (if the
- queue supports priorities). Jobs are considered in order, and a job is
- selected if its user is within the user-quota for the queue, i.e., the
- user is not already using queue resources above his/her limit. The
- scheduler also makes sure that there is enough free memory in the
- TaskTracker to tun the job's task, in case the job has special memory
- requirements.</p>
- <p>Once a job is selected, the scheduler picks a task to run. This logic
- to pick a task remains unchanged from earlier versions.</p>
- </div>
-
-
- <a name="N1004F"></a><a name="Reclaiming+capacity"></a>
- <h2 class="h3">Reclaiming capacity</h2>
- <div class="section">
- <p>Periodically, the scheduler determines:</p>
- <ul>
-
- <li>
- if a queue needs to reclaim capacity. This happens when a queue has
- at least one task pending and part of its guaranteed capacity is
- being used by some other queue. If this happens, the scheduler notes
- the amount of resources it needs to reclaim for this queue within a
- specified period of time (the reclaim time).
- </li>
-
- <li>
- if a queue has not received all the resources it needed to reclaim,
- and its reclaim time is about to expire. In this case, the scheduler
- needs to kill tasks from queues running over capacity. This it does
- by killing the tasks that started the latest.
- </li>
-
- </ul>
- </div>
-
- <a name="N10062"></a><a name="Installation"></a>
- <h2 class="h3">Installation</h2>
- <div class="section">
- <p>The capacity scheduler is available as a JAR file in the Hadoop
- tarball under the <em>contrib/capacity-scheduler</em> directory. The name of
- the JAR file would be on the lines of hadoop-*-capacity-scheduler.jar.</p>
- <p>You can also build the scheduler from source by executing
- <em>ant package</em>, in which case it would be available under
- <em>build/contrib/capacity-scheduler</em>.</p>
- <p>To run the capacity scheduler in your Hadoop installation, you need
- to put it on the <em>CLASSPATH</em>. The easiest way is to copy the
- <span class="codefrag">hadoop-*-capacity-scheduler.jar</span> from
- to <span class="codefrag">HADOOP_HOME/lib</span>. Alternatively, you can modify
- <em>HADOOP_CLASSPATH</em> to include this jar, in
- <span class="codefrag">conf/hadoop-env.sh</span>.</p>
- </div>
-
- <a name="N1008A"></a><a name="Configuration"></a>
- <h2 class="h3">Configuration</h2>
- <div class="section">
- <a name="N10090"></a><a name="Using+the+capacity+scheduler"></a>
- <h3 class="h4">Using the capacity scheduler</h3>
- <p>
- To make the Hadoop framework use the capacity scheduler, set up
- the following property in the site configuration:</p>
- <table class="ForrestTable" cellspacing="1" cellpadding="4">
-
- <tr>
-
- <td colspan="1" rowspan="1">Property</td>
- <td colspan="1" rowspan="1">Value</td>
-
- </tr>
-
- <tr>
-
- <td colspan="1" rowspan="1">mapred.jobtracker.taskScheduler</td>
- <td colspan="1" rowspan="1">org.apache.hadoop.mapred.CapacityTaskScheduler</td>
-
- </tr>
-
- </table>
- <a name="N100B7"></a><a name="Setting+up+queues"></a>
- <h3 class="h4">Setting up queues</h3>
- <p>
- You can define multiple queues to which users can submit jobs with
- the capacity scheduler. To define multiple queues, you should edit
- the site configuration for Hadoop and modify the
- <em>mapred.queue.names</em> property.
- </p>
- <p>
- You can also configure ACLs for controlling which users or groups
- have access to the queues.
- </p>
- <p>
- For more details, refer to
- <a href="cluster_setup.html#Configuring+the+Hadoop+Daemons">Cluster
- Setup</a> documentation.
- </p>
- <a name="N100CE"></a><a name="Configuring+properties+for+queues"></a>
- <h3 class="h4">Configuring properties for queues</h3>
- <p>The capacity scheduler can be configured with several properties
- for each queue that control the behavior of the scheduler. This
- configuration is in the <em>conf/capacity-scheduler.xml</em>. By
- default, the configuration is set up for one queue, named
- <em>default</em>.</p>
- <p>To specify a property for a queue that is defined in the site
- configuration, you should use the property name as
- <em>mapred.capacity-scheduler.queue.<queue-name>.<property-name></em>.
- </p>
- <p>For example, to define the property <em>guaranteed-capacity</em>
- for queue named <em>research</em>, you should specify the property
- name as
- <em>mapred.capacity-scheduler.queue.research.guaranteed-capacity</em>.
- </p>
- <p>The properties defined for queues and their descriptions are
- listed in the table below:</p>
- <table class="ForrestTable" cellspacing="1" cellpadding="4">
-
- <tr>
- <th colspan="1" rowspan="1">Name</th><th colspan="1" rowspan="1">Description</th>
- </tr>
-
- <tr>
- <td colspan="1" rowspan="1">mapred.capacity-scheduler.queue.<queue-name>.guaranteed-capacity</td>
- <td colspan="1" rowspan="1">Percentage of the number of slots in the cluster that are
- guaranteed to be available for jobs in this queue.
- The sum of guaranteed capacities for all queues should be less
- than or equal 100.</td>
-
- </tr>
-
- <tr>
- <td colspan="1" rowspan="1">mapred.capacity-scheduler.queue.<queue-name>.reclaim-time-limit</td>
- <td colspan="1" rowspan="1">The amount of time, in seconds, before which resources
- distributed to other queues will be reclaimed.</td>
-
- </tr>
-
- <tr>
- <td colspan="1" rowspan="1">mapred.capacity-scheduler.queue.<queue-name>.supports-priority</td>
- <td colspan="1" rowspan="1">If true, priorities of jobs will be taken into account in scheduling
- decisions.</td>
-
- </tr>
-
- <tr>
- <td colspan="1" rowspan="1">mapred.capacity-scheduler.queue.<queue-name>.minimum-user-limit-percent</td>
- <td colspan="1" rowspan="1">Each queue enforces a limit on the percentage of resources
- allocated to a user at any given time, if there is competition
- for them. This user limit can vary between a minimum and maximum
- value. The former depends on the number of users who have submitted
- jobs, and the latter is set to this property value. For example,
- suppose the value of this property is 25. If two users have
- submitted jobs to a queue, no single user can use more than 50%
- of the queue resources. If a third user submits a job, no single
- user can use more than 33% of the queue resources. With 4 or more
- users, no user can use more than 25% of the queue's resources. A
- value of 100 implies no user limits are imposed.</td>
-
- </tr>
-
- </table>
- <a name="N10130"></a><a name="Reviewing+the+configuration+of+the+capacity+scheduler"></a>
- <h3 class="h4">Reviewing the configuration of the capacity scheduler</h3>
- <p>
- Once the installation and configuration is completed, you can review
- it after starting the Map/Reduce cluster from the admin UI.
- </p>
- <ul>
-
- <li>Start the Map/Reduce cluster as usual.</li>
-
- <li>Open the JobTracker web UI.</li>
-
- <li>The queues you have configured should be listed under the <em>Scheduling
- Information</em> section of the page.</li>
-
- <li>The properties for the queues should be visible in the <em>Scheduling
- Information</em> column against each queue.</li>
-
- </ul>
- </div>
-
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