本文整理了Java中org.apache.hadoop.yarn.util.resource.Resources.divideAndCeil方法的一些代码示例，展示了Resources.divideAndCeil的具体用法。这些代码示例主要来源于Github/Stackoverflow/Maven等平台，是从一些精选项目中提取出来的代码，具有较强的参考意义，能在一定程度帮忙到你。Resources.divideAndCeil方法的具体详情如下：
包路径：org.apache.hadoop.yarn.util.resource.Resources
类名称：Resources
方法名：divideAndCeil

Resources.divideAndCeil介绍

暂无

代码示例

代码示例来源：origin: ch.cern.hadoop/hadoop-yarn-server-resourcemanager

Resource aUsed = Resources.divideAndCeil(rc, used[i], apps[i]);
Resource aPending = Resources.divideAndCeil(rc, pending[i], apps[i]);
Resource aReserve = Resources.divideAndCeil(rc, reserved[i], apps[i]);
for (int a = 0; a < apps[i]; ++a) {
 FiCaSchedulerApp mockFiCaApp =

代码示例来源：origin: org.apache.hadoop/hadoop-yarn-server-resourcemanager

Resource aUsed = Resources.divideAndCeil(rc, used[i], apps[i]);
Resource aPending = Resources.divideAndCeil(rc, pending[i], apps[i]);
Resource aReserve = Resources.divideAndCeil(rc, reserved[i], apps[i]);
for (int a = 0; a < apps[i]; ++a) {
 FiCaSchedulerApp mockFiCaApp =

代码示例来源：origin: org.apache.hadoop/hadoop-yarn-server-resourcemanager

Resource userLimit;
if (mulp > 0) {
 userLimit = Resources.divideAndCeil(rc, capacity, mulp);
} else {
 userLimit = Resources.divideAndCeil(rc, capacity,
   users.size());

代码示例来源：origin: ch.cern.hadoop/hadoop-yarn-server-resourcemanager

Resources.max(
  resourceCalculator, clusterResource, 
  Resources.divideAndCeil(
    resourceCalculator, currentCapacity, activeUsers),
  Resources.divideAndCeil(
    resourceCalculator, 
    Resources.multiplyAndRoundDown(

代码示例来源：origin: com.github.jiayuhan-it/hadoop-yarn-server-resourcemanager

Resources.max(
  resourceCalculator, clusterResource, 
  Resources.divideAndCeil(
    resourceCalculator, currentCapacity, activeUsers),
  Resources.divideAndCeil(
    resourceCalculator, 
    Resources.multiplyAndRoundDown(

代码示例来源：origin: org.apache.hadoop/hadoop-yarn-server-resourcemanager

Resources.divideAndCeil(dominantResourceCalculator, res, 2));
app = new FiCaSchedulerApp(appAttId, user, queue,
  queue.getAbstractUsersManager(), rmContext);
  Resources.divideAndCeil(dominantResourceCalculator, res, 4));
app = new FiCaSchedulerApp(appAttId, user, qChild,
  qChild.getAbstractUsersManager(), rmContext);

代码示例来源：origin: org.apache.hadoop/hadoop-yarn-server-resourcemanager

Resources.divideAndCeil(resourceCalculator, resourceUsed,
  usersSummedByWeight),
Resources.divideAndCeil(resourceCalculator,
  Resources.multiplyAndRoundDown(currentCapacity, getUserLimit()),
  100));