hadoopYarn:如何使用spark限制资源的动态自分配?

pn9klfpd  于 2021-06-02  发布在  Hadoop
关注(0)|答案(1)|浏览(445)

在我们运行在yarn下的hadoop集群中,我们遇到了一个问题,即一些“更聪明”的人能够通过在pyspark jupyter笔记本中配置spark jobs来吃掉大量的资源,比如:

conf = (SparkConf()
        .setAppName("name")
        .setMaster("yarn-client")
        .set("spark.executor.instances", "1000")
        .set("spark.executor.memory", "64g")
        )

sc = SparkContext(conf=conf)

这就导致了这样一种情况,即这些人实际上挤出了其他不那么“聪明”的人。
有没有办法禁止用户自行分配资源,而将资源分配完全留给用户?

oknwwptz

oknwwptz1#

yarn对多租户集群中的队列容量规划有很好的支持,yarn resourcemanager默认使用capacityscheduler。
在这里,我们在spark submit中将队列名称作为alpha,以供演示。

$ ./bin/spark-submit --class path/to/class/file \
    --master yarn-cluster \
    --queue alpha \
    jar/location \
    args

设置队列:
capacityscheduler有一个名为root的预定义队列。系统中的所有队列都是根队列的子队列。在 capacity-scheduler.xml ,参数 yarn.scheduler.capacity.root.queues 用于定义子队列;
例如,要创建3个队列,请在逗号分隔的列表中指定队列的名称。

<property>
    <name>yarn.scheduler.capacity.root.queues</name>
    <value>alpha,beta,default</value>
    <description>The queues at the this level (root is the root queue).</description>
</property>

这些是容量规划中需要考虑的几个重要特性。

<property>
    <name>yarn.scheduler.capacity.root.alpha.capacity</name>
    <value>50</value>
    <description>Queue capacity in percentage (%) as a float (e.g. 12.5). The sum of capacities for all queues, at each level, must be equal to 100. Applications in the queue may consume more resources than the queue’s capacity if there are free resources, providing elasticity.</description>
</property>

<property>
    <name>yarn.scheduler.capacity.root.alpha.maximum-capacity</name>
    <value>80</value>
    <description>Maximum queue capacity in percentage (%) as a float. This limits the elasticity for applications in the queue. Defaults to -1 which disables it.</description>
</property>

<property>
    <name>yarn.scheduler.capacity.root.alpha.minimum-capacity</name>
    <value>10</value>
    <description>Each queue enforces a limit on the percentage of resources allocated to a user at any given time, if there is demand for resources. The user limit can vary between a minimum and maximum value. The former (the minimum value) is set to this property value and the latter (the maximum value) depends on the number of users who have submitted applications. For e.g., suppose the value of this property is 25. If two users have submitted applications to a queue, no single user can use more than 50% of the queue resources. If a third user submits an application, 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 queues resources. A value of 100 implies no user limits are imposed. The default is 100. Value is specified as a integer.</description>
</property>

链接:调度程序队列属性

相关问题