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From bibinchund...@apache.org
Subject [hadoop] branch branch-3.1 updated: YARN-9797. LeafQueue#activateApplications should use resourceCalculator#fitsIn. Contributed by Bilwa S T.
Date Tue, 03 Sep 2019 07:10:30 GMT
This is an automated email from the ASF dual-hosted git repository.

bibinchundatt pushed a commit to branch branch-3.1
in repository https://gitbox.apache.org/repos/asf/hadoop.git


The following commit(s) were added to refs/heads/branch-3.1 by this push:
     new 3210d1e  YARN-9797. LeafQueue#activateApplications should use resourceCalculator#fitsIn.
Contributed by  Bilwa S T.
3210d1e is described below

commit 3210d1e993639b2b59c0fd542d30a90f075500eb
Author: bibinchundatt <bibinchundatt@apache.org>
AuthorDate: Tue Sep 3 11:53:34 2019 +0530

    YARN-9797. LeafQueue#activateApplications should use resourceCalculator#fitsIn. Contributed
by  Bilwa S T.
    
    (cherry picked from commit 03489124ea1b8d5648ade5e3563e39b5bc323384)
---
 .../scheduler/capacity/LeafQueue.java              |  6 +-
 .../capacity/TestApplicationLimitsByPartition.java | 85 ++++++++++++++++++++++
 2 files changed, 87 insertions(+), 4 deletions(-)

diff --git a/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/main/java/org/apache/hadoop/yarn/server/resourcemanager/scheduler/capacity/LeafQueue.java
b/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/main/java/org/apache/hadoop/yarn/server/resourcemanager/scheduler/capacity/LeafQueue.java
index 58157a4..4745326 100644
--- a/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/main/java/org/apache/hadoop/yarn/server/resourcemanager/scheduler/capacity/LeafQueue.java
+++ b/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/main/java/org/apache/hadoop/yarn/server/resourcemanager/scheduler/capacity/LeafQueue.java
@@ -838,8 +838,7 @@ public class LeafQueue extends AbstractCSQueue {
               + " AM node-partition name " + partitionName);
         }
 
-        if (!Resources.lessThanOrEqual(resourceCalculator, lastClusterResource,
-            amIfStarted, amLimit)) {
+        if (!resourceCalculator.fitsIn(amIfStarted, amLimit)) {
           if (getNumActiveApplications() < 1 || (Resources.lessThanOrEqual(
               resourceCalculator, lastClusterResource,
               queueUsage.getAMUsed(partitionName), Resources.none()))) {
@@ -874,8 +873,7 @@ public class LeafQueue extends AbstractCSQueue {
             application.getAMResource(partitionName),
             user.getConsumedAMResources(partitionName));
 
-        if (!Resources.lessThanOrEqual(resourceCalculator, lastClusterResource,
-            userAmIfStarted, userAMLimit)) {
+        if (!resourceCalculator.fitsIn(userAmIfStarted, userAMLimit)) {
           if (getNumActiveApplications() < 1 || (Resources.lessThanOrEqual(
               resourceCalculator, lastClusterResource,
               queueUsage.getAMUsed(partitionName), Resources.none()))) {
diff --git a/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/test/java/org/apache/hadoop/yarn/server/resourcemanager/scheduler/capacity/TestApplicationLimitsByPartition.java
b/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/test/java/org/apache/hadoop/yarn/server/resourcemanager/scheduler/capacity/TestApplicationLimitsByPartition.java
index d73f1c8..9c578e5 100644
--- a/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/test/java/org/apache/hadoop/yarn/server/resourcemanager/scheduler/capacity/TestApplicationLimitsByPartition.java
+++ b/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/test/java/org/apache/hadoop/yarn/server/resourcemanager/scheduler/capacity/TestApplicationLimitsByPartition.java
@@ -38,6 +38,7 @@ import org.apache.hadoop.yarn.api.records.ContainerId;
 import org.apache.hadoop.yarn.api.records.NodeId;
 import org.apache.hadoop.yarn.api.records.Priority;
 import org.apache.hadoop.yarn.api.records.Resource;
+import org.apache.hadoop.yarn.api.records.ResourceInformation;
 import org.apache.hadoop.yarn.api.records.ResourceRequest;
 import org.apache.hadoop.yarn.conf.YarnConfiguration;
 import org.apache.hadoop.yarn.factories.RecordFactory;
@@ -48,6 +49,7 @@ import org.apache.hadoop.yarn.server.resourcemanager.MockRM;
 import org.apache.hadoop.yarn.server.resourcemanager.RMContext;
 import org.apache.hadoop.yarn.server.resourcemanager.nodelabels.NullRMNodeLabelsManager;
 import org.apache.hadoop.yarn.server.resourcemanager.nodelabels.RMNodeLabelsManager;
+import org.apache.hadoop.yarn.server.resourcemanager.resource.TestResourceProfiles;
 import org.apache.hadoop.yarn.server.resourcemanager.rmapp.RMApp;
 import org.apache.hadoop.yarn.server.resourcemanager.rmapp.attempt.RMAppAttempt;
 import org.apache.hadoop.yarn.server.resourcemanager.scheduler.ResourceLimits;
@@ -58,7 +60,9 @@ import org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.preempti
 import org.apache.hadoop.yarn.server.resourcemanager.scheduler.common.fica.FiCaSchedulerApp;
 import org.apache.hadoop.yarn.server.resourcemanager.scheduler.common.fica.FiCaSchedulerNode;
 import org.apache.hadoop.yarn.util.resource.DefaultResourceCalculator;
+import org.apache.hadoop.yarn.util.resource.DominantResourceCalculator;
 import org.apache.hadoop.yarn.util.resource.ResourceCalculator;
+import org.apache.hadoop.yarn.util.resource.ResourceUtils;
 import org.apache.hadoop.yarn.util.resource.Resources;
 import org.junit.Assert;
 import org.junit.Before;
@@ -747,4 +751,85 @@ public class TestApplicationLimitsByPartition {
 
 
   }
+
+  /**
+   * {@link LeafQueue#activateApplications()} should validate values of all
+   * resourceTypes before activating application.
+   *
+   * @throws Exception
+   */
+  @Test
+  public void testAMLimitByAllResources() throws Exception {
+    CapacitySchedulerConfiguration csconf =
+        new CapacitySchedulerConfiguration();
+    csconf.setResourceComparator(DominantResourceCalculator.class);
+    String queueName = "a1";
+    csconf.setQueues(CapacitySchedulerConfiguration.ROOT,
+        new String[] {queueName});
+    csconf.setCapacity("root." + queueName, 100);
+
+    ResourceInformation res0 = ResourceInformation.newInstance("memory-mb",
+        ResourceInformation.MEMORY_MB.getUnits(), GB, Long.MAX_VALUE);
+    ResourceInformation res1 = ResourceInformation.newInstance("vcores",
+        ResourceInformation.VCORES.getUnits(), 1, Integer.MAX_VALUE);
+    ResourceInformation res2 = ResourceInformation.newInstance("gpu",
+        ResourceInformation.GPUS.getUnits(), 0, Integer.MAX_VALUE);
+    Map<String, ResourceInformation> riMap = new HashMap<>();
+    riMap.put(ResourceInformation.MEMORY_URI, res0);
+    riMap.put(ResourceInformation.VCORES_URI, res1);
+    riMap.put(ResourceInformation.GPU_URI, res2);
+    ResourceUtils.initializeResourcesFromResourceInformationMap(riMap);
+
+    YarnConfiguration config = new YarnConfiguration(csconf);
+    config.setClass(YarnConfiguration.RM_SCHEDULER, CapacityScheduler.class,
+        ResourceScheduler.class);
+    config.setBoolean(TestResourceProfiles.TEST_CONF_RESET_RESOURCE_TYPES,
+        false);
+
+    MockRM rm = new MockRM(config);
+    rm.start();
+
+    Map<String, Long> res = new HashMap<>();
+    res.put("gpu", 0L);
+
+    Resource clusterResource = Resource.newInstance(16 * GB, 64, res);
+
+    // Cluster Resource - 16GB, 64vcores
+    // AMLimit 16384 x .1 mb , 64 x .1 vcore
+    // Effective AM limit after normalized to minimum resource 2048,7
+
+    rm.registerNode("127.0.0.1:1234", clusterResource);
+
+    String userName = "user_0";
+    ResourceScheduler scheduler = rm.getRMContext().getScheduler();
+    LeafQueue queueA = (LeafQueue) ((CapacityScheduler) scheduler)
+        .getQueue(queueName);
+
+    Resource amResource = Resource.newInstance(GB, 1);
+
+    rm.submitApp(amResource, "app-1", userName, null, queueName);
+    rm.submitApp(amResource, "app-2", userName, null, queueName);
+
+    // app-3 should not be activated as amLimit will be reached
+    // for memory
+    rm.submitApp(amResource, "app-3", userName, null, queueName);
+
+    Assert.assertEquals("PendingApplications should be 1", 1,
+        queueA.getNumPendingApplications());
+    Assert.assertEquals("Active applications should be 2", 2,
+        queueA.getNumActiveApplications());
+    // AMLimit is 2048,7
+    Assert.assertEquals(2048,
+        queueA.getQueueResourceUsage().getAMLimit().getMemorySize());
+    Assert.assertEquals(7,
+        queueA.getQueueResourceUsage().getAMLimit().getVirtualCores());
+    // Used AM Resource is 2048,2
+    Assert.assertEquals(2048,
+        queueA.getQueueResourceUsage().getAMUsed().getMemorySize());
+    Assert.assertEquals(2,
+        queueA.getQueueResourceUsage().getAMUsed().getVirtualCores());
+
+    rm.close();
+
+  }
 }


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