yarn自定义scheduler队列
yarn支持3种调度器，FIFO，容量，公平调度器。
FIFO调度算法
只有一个队列，任务执行是按照先进先出的顺序执行，无法支持多用户并发的场景。如下图
容器调度算法
yahoo开发的多用户调度器(apache yarn中默认使用）
- 特征
- 多队列：每个队列可配置一定的资源量，每个队列采用FIFO调度策略
- 容器保证：管理员可为每个队列设置资源最低保证和资源使用上限
- 灵活性：如果一个队列中的资源有剩余，可以暂时共享给需要资源的队列，而一旦该队列有新的应用程序提交，则其他队列借调的资源会归还给该队列。
- 多租户：支持多用户共享集群和多应用程序同时运行，为了防止同一个用户的作业独占队列中的资源，该调度器会对同一用户提交的作业所占资源量进行限定。
- 资源分配算法
- 队列资源分配
从root开始，使用深度优先算法，优先选择资源暂用率低的队列分配资源 - 作业资源分配
默认按照提交作业的优先级和提交时间按顺序分配资源 - 容器资源分配
按照容器的优先级分配资源
如果优先级相同，按照数据本地性原则
a. 任务和数据在同一节点
b. 任务和数据在同一机架
c. 任务和数据不在同一个节点也不在同一机架
公平调度器
- 特点
- 多队列：支持多队列多作业
- 容量保证：管理员可为每个队列设置资源最低保证和资源使用上限
- 灵活性：如果一个队列中的资源有剩余，可以暂时共享给那些需要资源的队列，而一旦该队列有新的应用程序提交，则其他队列借调的资源会归还给该队列
- 多租户：支持多用户共享集群和多应用程序同时运行，为了防止同一个用户的作业独占队列中的资源，该调度器会对同一个用户提交的作业所占资源量进行限定
- 公平调度器队列资源分配方式
-
FIFO策略
公平调度器每个队列资源分配策略如果是FIFO，此时就是相当于容量调度器 -
Fair策略
Fair策略是一种基于最大最小公平算法实现的资源多路复用方式，默认情况下，每个队列内部采用该方式分配资源，同队列所有任务共享资源，在时间尺度上获得公平的资源。意味着，如果一个队列中有两个应用程序同时运行则每个应用程序可得到1/2的资源，如果是三个同时运行，则每个可以得到1/3资源
- 公平调度器和容量调度器不同点
- 核心调度策略不同
容量调度器：优先选择资源利用率的队列
公平调度器：优先选择对资源的缺额比例大的 - 每个队列可以单独设置资源分配方式
容量调度器：FIFO,DRF
公平调度器：FIFO,AIR,DRF
那我们配置一个容量调度器的队列hive，我们只需要修改capacity-scheduler.xml就可以，具体配置如下：
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-->
<configuration>
<property>
<name>yarn.scheduler.capacity.maximum-applications</name>
<value>10000</value>
<description>
Maximum number of applications that can be pending and running.
</description>
</property>
<property>
<name>yarn.scheduler.capacity.maximum-am-resource-percent</name>
<value>0.1</value>
<description>
Maximum percent of resources in the cluster which can be used to run
application masters i.e. controls number of concurrent running
applications.
</description>
</property>
<property>
<name>yarn.scheduler.capacity.resource-calculator</name>
<value>org.apache.hadoop.yarn.util.resource.DefaultResourceCalculator</value>
<description>
The ResourceCalculator implementation to be used to compare
Resources in the scheduler.
The default i.e. DefaultResourceCalculator only uses Memory while
DominantResourceCalculator uses dominant-resource to compare
multi-dimensional resources such as Memory, CPU etc.
</description>
</property>
<!--配置root下的队列，hive和default-->
<property>
<name>yarn.scheduler.capacity.root.queues</name>
<value>default,hive</value>
<description>
The queues at the this level (root is the root queue).
</description>
</property>
<!--default 占总资源40%-->
<property>
<name>yarn.scheduler.capacity.root.default.capacity</name>
<value>40</value>
<description>Default queue target capacity.</description>
</property>
<!--hive 占总资源60%-->
<property>
<name>yarn.scheduler.capacity.root.hive.capacity</name>
<value>60</value>
<description>Default queue target capacity.</description>
</property>
<!--default 最大可以使用的队列容量-->
<property>
<name>yarn.scheduler.capacity.root.default.user-limit-factor</name>
<value>1</value>
<description>
Default queue user limit a percentage from 0.0 to 1.0.
</description>
</property>
<!--hive 最大可以使用的队列容量-->
<property>
<name>yarn.scheduler.capacity.root.hive.user-limit-factor</name>
<value>1</value>
<description>
Default queue user limit a percentage from 0.0 to 1.0.
</description>
</property>
<!--default 最大资源容量占总资源60%-->
<property>
<name>yarn.scheduler.capacity.root.default.maximum-capacity</name>
<value>60</value>
<description>
The maximum capacity of the default queue.
</description>
</property>
<!--hive 最大资源容量占总资源80%-->
<property>
<name>yarn.scheduler.capacity.root.hive.maximum-capacity</name>
<value>80</value>
<description>
The maximum capacity of the default queue.
</description>
</property>
<property>
<name>yarn.scheduler.capacity.root.default.state</name>
<value>RUNNING</value>
<description>
The state of the default queue. State can be one of RUNNING or STOPPED.
</description>
</property>
<property>
<name>yarn.scheduler.capacity.root.hive.state</name>
<value>RUNNING</value>
<description>
The state of the default queue. State can be one of RUNNING or STOPPED.
</description>
</property>
<!--default队列有权限提交任务的人员-->
<property>
<name>yarn.scheduler.capacity.root.default.acl_submit_applications</name>
<value>*</value>
<description>
The ACL of who can submit jobs to the default queue.
</description>
</property>
<!--hive队列有权限提交任务的人员-->
<property>
<name>yarn.scheduler.capacity.root.hive.acl_submit_applications</name>
<value>*</value>
<description>
The ACL of who can submit jobs to the default queue.
</description>
</property>
<property>
<name>yarn.scheduler.capacity.root.default.acl_administer_queue</name>
<value>*</value>
<description>
The ACL of who can administer jobs on the default queue.
</description>
</property>
<property>
<name>yarn.scheduler.capacity.root.hive.acl_administer_queue</name>
<value>*</value>
<description>
The ACL of who can administer jobs on the default queue.
</description>
</property>
<property>
<name>yarn.scheduler.capacity.root.default.acl_application_max_priority</name>
<value>*</value>
<description>
The ACL of who can submit applications with configured priority.
For e.g, [user={name} group={name} max_priority={priority} default_priority={priority}]
</description>
</property>
<property>
<name>yarn.scheduler.capacity.root.hive.acl_application_max_priority</name>
<value>*</value>
<description>
The ACL of who can submit applications with configured priority.
For e.g, [user={name} group={name} max_priority={priority} default_priority={priority}]
</description>
</property>
<!--default队列允许运行任务的最长时间，-1表示无限制-->
<property>
<name>yarn.scheduler.capacity.root.default.maximum-application-lifetime
</name>
<value>-1</value>
<description>
Maximum lifetime of an application which is submitted to a queue
in seconds. Any value less than or equal to zero will be considered as
disabled.
This will be a hard time limit for all applications in this
queue. If positive value is configured then any application submitted
to this queue will be killed after exceeds the configured lifetime.
User can also specify lifetime per application basis in
application submission context. But user lifetime will be
overridden if it exceeds queue maximum lifetime. It is point-in-time
configuration.
Note : Configuring too low value will result in killing application
sooner. This feature is applicable only for leaf queue.
</description>
</property>
<!--hive队列允许运行任务的最长时间，-1表示无限制-->
<property>
<name>yarn.scheduler.capacity.root.hive.maximum-application-lifetime
</name>
<value>-1</value>
<description>
Maximum lifetime of an application which is submitted to a queue
in seconds. Any value less than or equal to zero will be considered as
disabled.
This will be a hard time limit for all applications in this
queue. If positive value is configured then any application submitted
to this queue will be killed after exceeds the configured lifetime.
User can also specify lifetime per application basis in
application submission context. But user lifetime will be
overridden if it exceeds queue maximum lifetime. It is point-in-time
configuration.
Note : Configuring too low value will result in killing application
sooner. This feature is applicable only for leaf queue.
</description>
</property>
<!--default队列允许运行任务的默认时间，-1表示无限制-->
<property>
<name>yarn.scheduler.capacity.root.default.default-application-lifetime
</name>
<value>-1</value>
<description>
Default lifetime of an application which is submitted to a queue
in seconds. Any value less than or equal to zero will be considered as
disabled.
If the user has not submitted application with lifetime value then this
value will be taken. It is point-in-time configuration.
Note : Default lifetime can't exceed maximum lifetime. This feature is
applicable only for leaf queue.
</description>
</property>
<!--hive队列允许运行任务的默认时间，-1表示无限制-->
<property>
<name>yarn.scheduler.capacity.root.hive.default-application-lifetime
</name>
<value>-1</value>
<description>
Default lifetime of an application which is submitted to a queue
in seconds. Any value less than or equal to zero will be considered as
disabled.
If the user has not submitted application with lifetime value then this
value will be taken. It is point-in-time configuration.
Note : Default lifetime can't exceed maximum lifetime. This feature is
applicable only for leaf queue.
</description>
</property>
<property>
<name>yarn.scheduler.capacity.node-locality-delay</name>
<value>40</value>
<description>
Number of missed scheduling opportunities after which the CapacityScheduler
attempts to schedule rack-local containers.
When setting this parameter, the size of the cluster should be taken into account.
We use 40 as the default value, which is approximately the number of nodes in one rack.
Note, if this value is -1, the locality constraint in the container request
will be ignored, which disables the delay scheduling.
</description>
</property>
<property>
<name>yarn.scheduler.capacity.rack-locality-additional-delay</name>
<value>-1</value>
<description>
Number of additional missed scheduling opportunities over the node-locality-delay
ones, after which the CapacityScheduler attempts to schedule off-switch containers,
instead of rack-local ones.
Example: with node-locality-delay=40 and rack-locality-delay=20, the scheduler will
attempt rack-local assignments after 40 missed opportunities, and off-switch assignments
after 40+20=60 missed opportunities.
When setting this parameter, the size of the cluster should be taken into account.
We use -1 as the default value, which disables this feature. In this case, the number
of missed opportunities for assigning off-switch containers is calculated based on
the number of containers and unique locations specified in the resource request,
as well as the size of the cluster.
</description>
</property>
<property>
<name>yarn.scheduler.capacity.queue-mappings</name>
<value></value>
<description>
A list of mappings that will be used to assign jobs to queues
The syntax for this list is [u|g]:[name]:[queue_name][,next mapping]*
Typically this list will be used to map users to queues,
for example, u:%user:%user maps all users to queues with the same name
as the user.
</description>
</property>
<property>
<name>yarn.scheduler.capacity.queue-mappings-override.enable</name>
<value>false</value>
<description>
If a queue mapping is present, will it override the value specified
by the user? This can be used by administrators to place jobs in queues
that are different than the one specified by the user.
The default is false.
</description>
</property>
<property>
<name>yarn.scheduler.capacity.per-node-heartbeat.maximum-offswitch-assignments</name>
<value>1</value>
<description>
Controls the number of OFF_SWITCH assignments allowed
during a node's heartbeat. Increasing this value can improve
scheduling rate for OFF_SWITCH containers. Lower values reduce
"clumping" of applications on particular nodes. The default is 1.
Legal values are 1-MAX_INT. This config is refreshable.
</description>
</property>
<property>
<name>yarn.scheduler.capacity.application.fail-fast</name>
<value>false</value>
<description>
Whether RM should fail during recovery if previous applications'
queue is no longer valid.
</description>
</property>
<property>
<name>yarn.scheduler.capacity.workflow-priority-mappings</name>
<value></value>
<description>
A list of mappings that will be used to override application priority.
The syntax for this list is
[workflowId]:[full_queue_name]:[priority][,next mapping]*
where an application submitted (or mapped to) queue "full_queue_name"
and workflowId "workflowId" (as specified in application submission
context) will be given priority "priority".
</description>
</property>
<property>
<name>yarn.scheduler.capacity.workflow-priority-mappings-override.enable</name>
<value>false</value>
<description>
If a priority mapping is present, will it override the value specified
by the user? This can be used by administrators to give applications a
priority that is different than the one specified by the user.
The default is false.
</description>
</property>
</configuration>
重新启动yarn，我们可以看到如下2个队列，一个default队列，一个hive队列
