Package org.apache.hadoop.yarn.server.resourcemanager.resource

Examples of org.apache.hadoop.yarn.server.resourcemanager.resource.ResourceWeights

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  }
 
  @Test
  public void testEvenWeightsDifferentDominantResource() {
    assertTrue(createComparator(8000, 8).compare(
        createSchedulable(1000, 3, new ResourceWeights(2.0f)),
        createSchedulable(2000, 1)) < 0);
    assertTrue(createComparator(8000, 8).compare(
        createSchedulable(3000, 1, new ResourceWeights(2.0f)),
        createSchedulable(1000, 2)) < 0);
  }
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  }
 
  @Test
  public void testUnevenWeightsSameDominantResource() {
    assertTrue(createComparator(8000, 8).compare(
        createSchedulable(3000, 1, new ResourceWeights(2.0f, 1.0f)),
        createSchedulable(2000, 1)) < 0);
    assertTrue(createComparator(8000, 8).compare(
        createSchedulable(1000, 3, new ResourceWeights(1.0f, 2.0f)),
        createSchedulable(1000, 2)) < 0);
  }
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  }
 
  @Test
  public void testUnevenWeightsDifferentDominantResource() {
    assertTrue(createComparator(8000, 8).compare(
        createSchedulable(1000, 3, new ResourceWeights(1.0f, 2.0f)),
        createSchedulable(2000, 1)) < 0);
    assertTrue(createComparator(8000, 8).compare(
        createSchedulable(3000, 1, new ResourceWeights(2.0f, 1.0f)),
        createSchedulable(1000, 2)) < 0);
  }
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  @Test
  public void testCalculateShares() {
    Resource used = Resources.createResource(10, 5);
    Resource capacity = Resources.createResource(100, 10);
    ResourceType[] resourceOrder = new ResourceType[2];
    ResourceWeights shares = new ResourceWeights();
    DominantResourceFairnessPolicy.DominantResourceFairnessComparator comparator =
        new DominantResourceFairnessPolicy.DominantResourceFairnessComparator();
    comparator.calculateShares(used, capacity, shares, resourceOrder,
        ResourceWeights.NEUTRAL);
   
    assertEquals(.1, shares.getWeight(ResourceType.MEMORY), .00001);
    assertEquals(.5, shares.getWeight(ResourceType.CPU), .00001);
    assertEquals(ResourceType.CPU, resourceOrder[0]);
    assertEquals(ResourceType.MEMORY, resourceOrder[1]);
  }
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   * Test that CPU works as well as memory
   */
  @Test
  public void testCPU() {
    scheds.add(new FakeSchedulable(Resources.createResource(0, 20),
        new ResourceWeights(2.0f)));
    scheds.add(new FakeSchedulable(Resources.createResource(0, 0),
        new ResourceWeights(1.0f)));
    scheds.add(new FakeSchedulable(Resources.createResource(0, 5),
        new ResourceWeights(1.0f)));
    scheds.add(new FakeSchedulable(Resources.createResource(0, 15),
        new ResourceWeights(0.5f)));
    ComputeFairShares.computeShares(scheds,
        Resources.createResource(0, 45), ResourceType.CPU);
    verifyCPUShares(20, 5, 5, 15);
  }
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      this.clusterCapacity = clusterCapacity;
    }

    @Override
    public int compare(Schedulable s1, Schedulable s2) {
      ResourceWeights sharesOfCluster1 = new ResourceWeights();
      ResourceWeights sharesOfCluster2 = new ResourceWeights();
      ResourceWeights sharesOfMinShare1 = new ResourceWeights();
      ResourceWeights sharesOfMinShare2 = new ResourceWeights();
      ResourceType[] resourceOrder1 = new ResourceType[NUM_RESOURCES];
      ResourceType[] resourceOrder2 = new ResourceType[NUM_RESOURCES];
     
      // Calculate shares of the cluster for each resource both schedulables.
      calculateShares(s1.getResourceUsage(),
          clusterCapacity, sharesOfCluster1, resourceOrder1, s1.getWeights());
      calculateShares(s1.getResourceUsage(),
          s1.getMinShare(), sharesOfMinShare1, null, ResourceWeights.NEUTRAL);
      calculateShares(s2.getResourceUsage(),
          clusterCapacity, sharesOfCluster2, resourceOrder2, s2.getWeights());
      calculateShares(s2.getResourceUsage(),
          s2.getMinShare(), sharesOfMinShare2, null, ResourceWeights.NEUTRAL);
     
      // A queue is needy for its min share if its dominant resource
      // (with respect to the cluster capacity) is below its configured min share
      // for that resource
      boolean s1Needy = sharesOfMinShare1.getWeight(resourceOrder1[0]) < 1.0f;
      boolean s2Needy = sharesOfMinShare2.getWeight(resourceOrder2[0]) < 1.0f;
     
      int res = 0;
      if (!s2Needy && !s1Needy) {
        res = compareShares(sharesOfCluster1, sharesOfCluster2,
            resourceOrder1, resourceOrder2);
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        int val = Integer.parseInt(text);
        queueMaxApps.put(queueName, val);
      } else if ("weight".equals(field.getTagName())) {
        String text = ((Text)field.getFirstChild()).getData().trim();
        double val = Double.parseDouble(text);
        queueWeights.put(queueName, new ResourceWeights((float)val));
      } else if ("minSharePreemptionTimeout".equals(field.getTagName())) {
        String text = ((Text)field.getFirstChild()).getData().trim();
        long val = Long.parseLong(text) * 1000L;
        minSharePreemptionTimeouts.put(queueName, val);
      } else if ("schedulingPolicy".equals(field.getTagName())
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Related Classes of org.apache.hadoop.yarn.server.resourcemanager.resource.ResourceWeights

  • org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.AllocationConfiguration
  • org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.AllocationFileLoaderService
  • org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.AppSchedulable
  • org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.FairScheduler
  • org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.FakeSchedulable
  • org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.policies.DominantResourceFairnessPolicy$DominantResourceFairnessComparator
  • org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.policies.TestDominantResourceFairnessPolicy
  • org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.QueueManager
  • org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.TestComputeFairShares
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