174 lines
6.2 KiB
XML
174 lines
6.2 KiB
XML
<!--
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License. See accompanying LICENSE file.
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-->
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<configuration>
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<property>
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<name>yarn.scheduler.capacity.maximum-applications</name>
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<value>10000</value>
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<description>
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Maximum number of applications that can be pending and running.
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</description>
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</property>
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<property>
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<name>yarn.scheduler.capacity.maximum-am-resource-percent</name>
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<value>0.1</value>
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<description>
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Maximum percent of resources in the cluster which can be used to run
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application masters i.e. controls number of concurrent running
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applications.
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</description>
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</property>
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<property>
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<name>yarn.scheduler.capacity.resource-calculator</name>
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<value>org.apache.hadoop.yarn.util.resource.DefaultResourceCalculator</value>
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<description>
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The ResourceCalculator implementation to be used to compare
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Resources in the scheduler.
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The default i.e. DefaultResourceCalculator only uses Memory while
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DominantResourceCalculator uses dominant-resource to compare
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multi-dimensional resources such as Memory, CPU etc.
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</description>
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</property>
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<property>
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<name>yarn.scheduler.capacity.root.queues</name>
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<value>default</value>
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<description>
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The queues at the this level (root is the root queue).
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</description>
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</property>
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<property>
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<name>yarn.scheduler.capacity.root.default.capacity</name>
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<value>100</value>
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<description>Default queue target capacity.</description>
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</property>
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<property>
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<name>yarn.scheduler.capacity.root.default.user-limit-factor</name>
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<value>1</value>
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<description>
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Default queue user limit a percentage from 0.0 to 1.0.
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</description>
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</property>
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<property>
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<name>yarn.scheduler.capacity.root.default.maximum-capacity</name>
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<value>100</value>
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<description>
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The maximum capacity of the default queue.
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</description>
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</property>
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<property>
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<name>yarn.scheduler.capacity.root.default.state</name>
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<value>RUNNING</value>
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<description>
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The state of the default queue. State can be one of RUNNING or STOPPED.
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</description>
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</property>
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<property>
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<name>yarn.scheduler.capacity.root.default.acl_submit_applications</name>
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<value>*</value>
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<description>
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The ACL of who can submit jobs to the default queue.
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</description>
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</property>
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<property>
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<name>yarn.scheduler.capacity.root.default.acl_administer_queue</name>
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<value>*</value>
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<description>
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The ACL of who can administer jobs on the default queue.
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</description>
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</property>
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<property>
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<name>yarn.scheduler.capacity.root.default.acl_application_max_priority</name>
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<value>*</value>
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<description>
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The ACL of who can submit applications with configured priority.
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For e.g, [user={name} group={name} max_priority={priority} default_priority={priority}]
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</description>
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</property>
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<property>
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<name>yarn.scheduler.capacity.node-locality-delay</name>
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<value>40</value>
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<description>
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Number of missed scheduling opportunities after which the CapacityScheduler
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attempts to schedule rack-local containers.
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When setting this parameter, the size of the cluster should be taken into account.
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We use 40 as the default value, which is approximately the number of nodes in one rack.
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</description>
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</property>
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<property>
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<name>yarn.scheduler.capacity.rack-locality-additional-delay</name>
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<value>-1</value>
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<description>
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Number of additional missed scheduling opportunities over the node-locality-delay
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ones, after which the CapacityScheduler attempts to schedule off-switch containers,
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instead of rack-local ones.
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Example: with node-locality-delay=40 and rack-locality-delay=20, the scheduler will
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attempt rack-local assignments after 40 missed opportunities, and off-switch assignments
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after 40+20=60 missed opportunities.
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When setting this parameter, the size of the cluster should be taken into account.
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We use -1 as the default value, which disables this feature. In this case, the number
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of missed opportunities for assigning off-switch containers is calculated based on
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the number of containers and unique locations specified in the resource request,
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as well as the size of the cluster.
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</description>
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</property>
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<property>
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<name>yarn.scheduler.capacity.queue-mappings</name>
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<value></value>
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<description>
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A list of mappings that will be used to assign jobs to queues
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The syntax for this list is [u|g]:[name]:[queue_name][,next mapping]*
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Typically this list will be used to map users to queues,
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for example, u:%user:%user maps all users to queues with the same name
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as the user.
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</description>
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</property>
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<property>
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<name>yarn.scheduler.capacity.queue-mappings-override.enable</name>
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<value>false</value>
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<description>
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If a queue mapping is present, will it override the value specified
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by the user? This can be used by administrators to place jobs in queues
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that are different than the one specified by the user.
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The default is false.
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</description>
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</property>
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<property>
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<name>yarn.scheduler.capacity.per-node-heartbeat.maximum-offswitch-assignments</name>
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<value>1</value>
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<description>
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Controls the number of OFF_SWITCH assignments allowed
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during a node's heartbeat. Increasing this value can improve
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scheduling rate for OFF_SWITCH containers. Lower values reduce
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"clumping" of applications on particular nodes. The default is 1.
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Legal values are 1-MAX_INT. This config is refreshable.
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</description>
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</property>
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</configuration>
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