我们有一个hadoop集群，配置了clouderacdh5.4.2发行版和yarn fair调度器，用于调度和管理资源。我们有18个工作节点，总计963gb主内存和288个vCore。
现在的问题是，无论应用程序的资源需求有多小，我一次只能运行一个应用程序。例如，下面是动态资源池状态：
status yarn使用288个vCore和942 gib内存。资源池使用情况
此表和右侧的图表仅包含来自Yarn的指标。资源池名称已分配内存已分配vcores已分配容器挂起容器
根0 b 0 0 0
用户1 0 b 0 1
默认0 b 0 0
用户2 22 gib 11 11 1
对于用户2，即使在288个vcore和942 gib内存中只分配了22gb和11个vcore，仍然有一个挂起的容器！你知道怎么回事吗？这不是前几天的情况，不知道是什么原因造成的？
这是我的yarn-site.xml内容

<?xml version="1.0" encoding="UTF-8"?>

    <!--Autogenerated by Cloudera Manager-->
    <configuration>
      <property>
        <name>yarn.acl.enable</name>
        <value>true</value>
      </property>
      <property>
        <name>yarn.admin.acl</name>
        <value>*</value>
      </property>
      <property>
        <name>yarn.resourcemanager.address</name>
        <value>hadoopmaster:8032</value>
      </property>
      <property>
        <name>yarn.resourcemanager.admin.address</name>
        <value>hadoopmaster:8033</value>
      </property>
      <property>
        <name>yarn.resourcemanager.scheduler.address</name>
        <value>hadoopmaster:8030</value>
      </property>
      <property>
        <name>yarn.resourcemanager.resource-tracker.address</name>
        <value>hadoopmaster:8031</value>
      </property>
      <property>
        <name>yarn.resourcemanager.webapp.address</name>
        <value>hadoopmaster:8088</value>
      </property>
      <property>
        <name>yarn.resourcemanager.webapp.https.address</name>
        <value>hadoopmaster:8090</value>
      </property>
      <property>
        <name>yarn.resourcemanager.client.thread-count</name>
        <value>50</value>
      </property>
      <property>
        <name>yarn.resourcemanager.scheduler.client.thread-count</name>
        <value>50</value>
      </property>
      <property>
        <name>yarn.resourcemanager.admin.client.thread-count</name>
        <value>1</value>
      </property>
      <property>
        <name>yarn.scheduler.minimum-allocation-mb</name>
        <value>2048</value>
      </property>
      <property>
        <name>yarn.scheduler.increment-allocation-mb</name>
        <value>512</value>
      </property>
      <property>
        <name>yarn.scheduler.maximum-allocation-mb</name>
        <value>65536</value>
      </property>
      <property>
        <name>yarn.scheduler.minimum-allocation-vcores</name>
        <value>1</value>
      </property>
      <property>
        <name>yarn.scheduler.increment-allocation-vcores</name>
        <value>1</value>
      </property>
      <property>
        <name>yarn.scheduler.maximum-allocation-vcores</name>
        <value>24</value>
      </property>
      <property>
        <name>yarn.resourcemanager.amliveliness-monitor.interval-ms</name>
        <value>1000</value>
      </property>
      <property>
        <name>yarn.am.liveness-monitor.expiry-interval-ms</name>
        <value>600000</value>
      </property>
      <property>
        <name>yarn.resourcemanager.am.max-attempts</name>
        <value>2</value>
      </property>
      <property>
        <name>yarn.resourcemanager.container.liveness-monitor.interval-ms</name>
        <value>600000</value>
      </property>
      <property>
        <name>yarn.resourcemanager.nm.liveness-monitor.interval-ms</name>
        <value>1000</value>
      </property>
      <property>
        <name>yarn.nm.liveness-monitor.expiry-interval-ms</name>
        <value>600000</value>
      </property>
      <property>
        <name>yarn.resourcemanager.resource-tracker.client.thread-count</name>
        <value>50</value>
      </property>
      <property>
        <name>yarn.application.classpath</name>
        <value>$HADOOP_CLIENT_CONF_DIR,$HADOOP_CONF_DIR,$HADOOP_COMMON_HOME/*,$HADOOP_COMMON_HOME/lib/*,$HADOOP_HDFS_HOME/*,$HADOOP_HDFS_HOME/lib/*,$HADOOP_YARN_HOME/*,$HADOOP_YARN_HOME/lib/*</value>
      </property>
      <property>
        <name>yarn.resourcemanager.scheduler.class</name>
        <value>org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.FairScheduler</value>
      </property>
      <property>
        <name>yarn.scheduler.fair.user-as-default-queue</name>
        <value>true</value>
      </property>
      <property>
        <name>yarn.scheduler.fair.preemption</name>
        <value>true</value>
      </property>
      <property>
        <name>yarn.scheduler.fair.sizebasedweight</name>
        <value>false</value>
      </property>
      <property>
        <name>yarn.scheduler.fair.assignmultiple</name>
        <value>true</value>
      </property>
      <property>
        <name>yarn.resourcemanager.max-completed-applications</name>
        <value>10000</value>
      </property>
    </configuration>