#任务2将会失败root.users is not a leaf queue,有了自列队就不能提交 hadoop jar/opt/cloudera/parcels/CDH-6.2.0-1.cdh6.2.0.p0.967373/lib/hadoop-mapreduce/hadoop-mapreduce-examples-3.0.0-cdh6.2.0.jar wordcount-Dmapreduce.job.queuename="root.users"/word.txt/output1 hadoop jar/opt/cloudera/...
#任务2将会失败root.users is not a leaf queue,有了自列队就不能提交 hadoop jar /opt/cloudera/parcels/CDH-6.2.0-1.cdh6.2.0.p0.967373/lib/hadoop-mapreduce/hadoop-mapreduce-examples-3.0.0-cdh6.2.0.jar wordcount -Dmapreduce.job.queuename="root.users" /word.txt /output1 hadoop jar /opt/...
#任务2将会失败root.usersisnota leaf queue,有了自列队就不能提交 hadoop jar /opt/cloudera/parcels/CDH-6.2.0-1.cdh6.2.0.p0.967373/lib/hadoop-mapreduce/hadoop-mapreduce-examples-3.0.0-cdh6.2.0.jar wordcount -Dmapreduce.job.queuename="root.users"/word.txt /output1 hadoop jar /opt/cloudera...
可能原因:提交到不存在的queue。 处理方法:提交到已存在的leaf queue。 报错提示Application XXX submitted by user YYY to non-leaf queue: ZZZ 可能原因:提交到parent queue。 处理方法:提交到已存在的leaf queue。 报错提示Queue XXX is STOPPED. Cannot accept submission of application: YYY 可能原因:提交到ST...
<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> <property> <name>yarn.scheduler.capacity.root.default.capacity</name> ...
我们定义Yarn的资源队列,就是在root下面定义其子节点,比如,root.queue1、root.queue2等等,即,实际上,资源队列之间形成了资源队列树。FSParentQueue对象代表了树中的非叶子节点,FSLeafQueue代表了树的叶子节点。由于我们提交的任何一个应用都需要运行在某个队列中,因此,叶子节点下面还挂载了正在该队列上运行的应用,...
[root@node1 ~]# yarn Usage: yarn [--config confdir] [COMMAND | CLASSNAME] CLASSNAME run the class named CLASSNAME or where COMMAND is one of: resourcemanager -format-state-store deletes the RMStateStore resourcemanager run the ResourceManager nodemanager run a nodemanager on each slave timeline...
从管理资源角度来看,树的根节点root队列(FSParentQueue),非根节点(FSParentQueue),叶子节点(FSLeaf),app任务(FSAppAttempt,公平调度器角度的App)都是抽象的资源,它们都实现了Schedulable接口,都是一个可调度资源对象。它们都有自己的fair share(队列的资源量)方法(这里又用到了fair share概念),weight属性(权重)、...
I did have to allow excessive queue usage with: yarn.scheduler.capacity.root.test1.user-limit-factor=2 I have another question, I tried to define test2 to be fair and submit two application to it, but no preemption has happened and one app simply took 100% of the queue. I t...
scheduler.AbstractYarnScheduler: Release request cache is cleaned up [root@node1 ~]# 可能是spark-shell --master yarn-client过时了,但是换成spark-shell --master yarn --deploy-mode client,依然报错。 代码语言:javascript 代码运行次数:0 运行 AI代码解释 [root@node1 ~]# spark-shell --master ...