YARN-3388. Allocation in LeafQueue could get stuck because DRF calculator isn't well supported when computing user-limit. (Nathan Roberts via wangda)

This commit is contained in:
Wangda Tan 2016-08-19 16:28:32 -07:00
parent 3d937457ee
commit 444b2ea7af
3 changed files with 396 additions and 32 deletions

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@ -20,6 +20,9 @@
import java.io.IOException;
import java.util.*;
import java.util.concurrent.locks.ReentrantReadWriteLock;
import java.util.concurrent.locks.ReentrantReadWriteLock.ReadLock;
import java.util.concurrent.locks.ReentrantReadWriteLock.WriteLock;
import org.apache.commons.lang.StringUtils;
import org.apache.commons.logging.Log;
@ -70,9 +73,11 @@
import org.apache.hadoop.yarn.server.utils.Lock;
import org.apache.hadoop.yarn.server.utils.Lock.NoLock;
import org.apache.hadoop.yarn.util.SystemClock;
import org.apache.hadoop.yarn.util.resource.ResourceCalculator;
import org.apache.hadoop.yarn.util.resource.Resources;
import com.google.common.annotations.VisibleForTesting;
import com.google.common.collect.Sets;
@Private
@Unstable
@ -111,7 +116,7 @@ public class LeafQueue extends AbstractCSQueue {
// cache last cluster resource to compute actual capacity
private Resource lastClusterResource = Resources.none();
private final QueueResourceLimitsInfo queueResourceLimitsInfo =
new QueueResourceLimitsInfo();
@ -119,6 +124,10 @@ public class LeafQueue extends AbstractCSQueue {
private OrderingPolicy<FiCaSchedulerApp> orderingPolicy = null;
// Summation of consumed ratios for all users in queue
private float totalUserConsumedRatio = 0;
private UsageRatios qUsageRatios;
// record all ignore partition exclusivityRMContainer, this will be used to do
// preemption, key is the partition of the RMContainer allocated on
private Map<String, TreeSet<RMContainer>> ignorePartitionExclusivityRMContainers =
@ -135,6 +144,8 @@ public LeafQueue(CapacitySchedulerContext cs,
// One time initialization is enough since it is static ordering policy
this.pendingOrderingPolicy = new FifoOrderingPolicyForPendingApps();
qUsageRatios = new UsageRatios();
if(LOG.isDebugEnabled()) {
LOG.debug("LeafQueue:" + " name=" + queueName
+ ", fullname=" + getQueuePath());
@ -159,7 +170,7 @@ protected synchronized void setupQueueConfigs(Resource clusterResource)
setQueueResourceLimitsInfo(clusterResource);
CapacitySchedulerConfiguration conf = csContext.getConfiguration();
setOrderingPolicy(conf.<FiCaSchedulerApp>getOrderingPolicy(getQueuePath()));
userLimit = conf.getUserLimit(getQueuePath());
@ -1149,6 +1160,9 @@ public boolean getRackLocalityFullReset() {
private Resource computeUserLimit(FiCaSchedulerApp application,
Resource clusterResource, User user,
String nodePartition, SchedulingMode schedulingMode) {
Resource partitionResource = labelManager.getResourceByLabel(nodePartition,
clusterResource);
// What is our current capacity?
// * It is equal to the max(required, queue-capacity) if
// we're running below capacity. The 'max' ensures that jobs in queues
@ -1157,7 +1171,7 @@ private Resource computeUserLimit(FiCaSchedulerApp application,
// (usedResources + required) (which extra resources we are allocating)
Resource queueCapacity =
Resources.multiplyAndNormalizeUp(resourceCalculator,
labelManager.getResourceByLabel(nodePartition, clusterResource),
partitionResource,
queueCapacities.getAbsoluteCapacity(nodePartition),
minimumAllocation);
@ -1169,15 +1183,30 @@ private Resource computeUserLimit(FiCaSchedulerApp application,
// Allow progress for queues with miniscule capacity
queueCapacity =
Resources.max(
resourceCalculator, clusterResource,
resourceCalculator, partitionResource,
queueCapacity,
required);
/* We want to base the userLimit calculation on
* max(queueCapacity, usedResources+required). However, we want
* usedResources to be based on the combined ratios of all the users in the
* queue so we use consumedRatio to calculate such.
* The calculation is dependent on how the resourceCalculator calculates the
* ratio between two Resources. DRF Example: If usedResources is
* greater than queueCapacity and users have the following [mem,cpu] usages:
* User1: [10%,20%] - Dominant resource is 20%
* User2: [30%,10%] - Dominant resource is 30%
* Then total consumedRatio is then 20+30=50%. Yes, this value can be
* larger than 100% but for the purposes of making sure all users are
* getting their fair share, it works.
*/
Resource consumed = Resources.multiplyAndNormalizeUp(resourceCalculator,
partitionResource, qUsageRatios.getUsageRatio(nodePartition),
minimumAllocation);
Resource currentCapacity =
Resources.lessThan(resourceCalculator, clusterResource,
queueUsage.getUsed(nodePartition), queueCapacity) ? queueCapacity
: Resources.add(queueUsage.getUsed(nodePartition), required);
Resources.lessThan(resourceCalculator, partitionResource, consumed,
queueCapacity) ? queueCapacity : Resources.add(consumed, required);
// Never allow a single user to take more than the
// queue's configured capacity * user-limit-factor.
// Also, the queue's configured capacity should be higher than
@ -1186,9 +1215,10 @@ private Resource computeUserLimit(FiCaSchedulerApp application,
final int activeUsers = activeUsersManager.getNumActiveUsers();
// User limit resource is determined by:
// max{currentCapacity / #activeUsers, currentCapacity * user-limit-percentage%)
// max{currentCapacity / #activeUsers, currentCapacity *
// user-limit-percentage%)
Resource userLimitResource = Resources.max(
resourceCalculator, clusterResource,
resourceCalculator, partitionResource,
Resources.divideAndCeil(
resourceCalculator, currentCapacity, activeUsers),
Resources.divideAndCeil(
@ -1212,8 +1242,7 @@ private Resource computeUserLimit(FiCaSchedulerApp application,
maxUserLimit =
Resources.multiplyAndRoundDown(queueCapacity, userLimitFactor);
} else if (schedulingMode == SchedulingMode.IGNORE_PARTITION_EXCLUSIVITY) {
maxUserLimit =
labelManager.getResourceByLabel(nodePartition, clusterResource);
maxUserLimit = partitionResource;
}
// Cap final user limit with maxUserLimit
@ -1221,7 +1250,7 @@ private Resource computeUserLimit(FiCaSchedulerApp application,
Resources.roundUp(
resourceCalculator,
Resources.min(
resourceCalculator, clusterResource,
resourceCalculator, partitionResource,
userLimitResource,
maxUserLimit
),
@ -1229,18 +1258,22 @@ private Resource computeUserLimit(FiCaSchedulerApp application,
if (LOG.isDebugEnabled()) {
String userName = application.getUser();
LOG.debug("User limit computation for " + userName +
LOG.debug("User limit computation for " + userName +
" in queue " + getQueueName() +
" userLimitPercent=" + userLimit +
" userLimitFactor=" + userLimitFactor +
" required: " + required +
" consumed: " + user.getUsed() +
" required: " + required +
" consumed: " + consumed +
" user-limit-resource: " + userLimitResource +
" queueCapacity: " + queueCapacity +
" queueCapacity: " + queueCapacity +
" qconsumed: " + queueUsage.getUsed() +
" consumedRatio: " + totalUserConsumedRatio +
" currentCapacity: " + currentCapacity +
" activeUsers: " + activeUsers +
" clusterCapacity: " + clusterResource
" clusterCapacity: " + clusterResource +
" resourceByLabel: " + partitionResource +
" usageratio: " + qUsageRatios.getUsageRatio(nodePartition) +
" Partition: " + nodePartition
);
}
user.setUserResourceLimit(userLimitResource);
@ -1347,6 +1380,42 @@ private void updateSchedulerHealthForCompletedContainer(
}
}
private synchronized float calculateUserUsageRatio(Resource clusterResource,
String nodePartition) {
Resource resourceByLabel =
labelManager.getResourceByLabel(nodePartition, clusterResource);
float consumed = 0;
User user;
for (Map.Entry<String, User> entry : users.entrySet()) {
user = entry.getValue();
consumed += user.resetAndUpdateUsageRatio(resourceCalculator,
resourceByLabel, nodePartition);
}
return consumed;
}
private synchronized void recalculateQueueUsageRatio(Resource clusterResource,
String nodePartition) {
ResourceUsage queueResourceUsage = this.getQueueResourceUsage();
if (nodePartition == null) {
for (String partition : Sets.union(queueCapacities.getNodePartitionsSet(),
queueResourceUsage.getNodePartitionsSet())) {
qUsageRatios.setUsageRatio(partition,
calculateUserUsageRatio(clusterResource, partition));
}
} else {
qUsageRatios.setUsageRatio(nodePartition,
calculateUserUsageRatio(clusterResource, nodePartition));
}
}
private synchronized void updateQueueUsageRatio(String nodePartition,
float delta) {
qUsageRatios.incUsageRatio(nodePartition, delta);
}
@Override
public void completedContainer(Resource clusterResource,
FiCaSchedulerApp application, FiCaSchedulerNode node, RMContainer rmContainer,
@ -1384,7 +1453,7 @@ public void completedContainer(Resource clusterResource,
removed =
application.containerCompleted(rmContainer, containerStatus,
event, node.getPartition());
node.releaseContainer(container);
}
@ -1417,6 +1486,8 @@ synchronized void allocateResource(Resource clusterResource,
boolean isIncreasedAllocation) {
super.allocateResource(clusterResource, resource, nodePartition,
isIncreasedAllocation);
Resource resourceByLabel = labelManager.getResourceByLabel(nodePartition,
clusterResource);
// handle ignore exclusivity container
if (null != rmContainer && rmContainer.getNodeLabelExpression().equals(
@ -1435,6 +1506,12 @@ synchronized void allocateResource(Resource clusterResource,
String userName = application.getUser();
User user = getUser(userName);
user.assignContainer(resource, nodePartition);
// Update usage ratios
updateQueueUsageRatio(nodePartition,
user.updateUsageRatio(resourceCalculator, resourceByLabel,
nodePartition));
// Note this is a bit unconventional since it gets the object and modifies
// it here, rather then using set routine
Resources.subtractFrom(application.getHeadroom(), resource); // headroom
@ -1455,6 +1532,8 @@ synchronized void releaseResource(Resource clusterResource,
RMContainer rmContainer, boolean isChangeResource) {
super.releaseResource(clusterResource, resource, nodePartition,
isChangeResource);
Resource resourceByLabel = labelManager.getResourceByLabel(nodePartition,
clusterResource);
// handle ignore exclusivity container
if (null != rmContainer && rmContainer.getNodeLabelExpression().equals(
@ -1474,6 +1553,12 @@ synchronized void releaseResource(Resource clusterResource,
String userName = application.getUser();
User user = getUser(userName);
user.releaseContainer(resource, nodePartition);
// Update usage ratios
updateQueueUsageRatio(nodePartition,
user.updateUsageRatio(resourceCalculator, resourceByLabel,
nodePartition));
metrics.setAvailableResourcesToUser(userName, application.getHeadroom());
if (LOG.isDebugEnabled()) {
@ -1513,7 +1598,10 @@ public synchronized void updateClusterResource(Resource clusterResource,
// absoluteMaxCapacity now, will be replaced with absoluteMaxAvailCapacity
// during allocation
setQueueResourceLimitsInfo(clusterResource);
// Update user consumedRatios
recalculateQueueUsageRatio(clusterResource, null);
// Update metrics
CSQueueUtils.updateQueueStatistics(resourceCalculator, clusterResource,
minimumAllocation, this, labelManager, null);
@ -1565,17 +1653,93 @@ public void decAMUsedResource(String nodeLabel, Resource resourceToDec,
queueUsage.decAMUsed(nodeLabel, resourceToDec);
}
/*
* Usage Ratio
*/
static private class UsageRatios {
private Map<String, Float> usageRatios;
private ReadLock readLock;
private WriteLock writeLock;
public UsageRatios() {
ReentrantReadWriteLock lock = new ReentrantReadWriteLock();
readLock = lock.readLock();
writeLock = lock.writeLock();
usageRatios = new HashMap<String, Float>();
}
private void incUsageRatio(String label, float delta) {
try {
writeLock.lock();
Float fl = usageRatios.get(label);
if (null == fl) {
fl = new Float(0.0);
}
fl += delta;
usageRatios.put(label, new Float(fl));
} finally {
writeLock.unlock();
}
}
float getUsageRatio(String label) {
try {
readLock.lock();
Float f = usageRatios.get(label);
if (null == f) {
return 0.0f;
}
return f;
} finally {
readLock.unlock();
}
}
private void setUsageRatio(String label, float ratio) {
try {
writeLock.lock();
usageRatios.put(label, new Float(ratio));
} finally {
writeLock.unlock();
}
}
}
@VisibleForTesting
public float getUsageRatio(String label) {
return qUsageRatios.getUsageRatio(label);
}
@VisibleForTesting
public static class User {
ResourceUsage userResourceUsage = new ResourceUsage();
volatile Resource userResourceLimit = Resource.newInstance(0, 0);
int pendingApplications = 0;
int activeApplications = 0;
private UsageRatios userUsageRatios = new UsageRatios();
public ResourceUsage getResourceUsage() {
return userResourceUsage;
}
public synchronized float resetAndUpdateUsageRatio(
ResourceCalculator resourceCalculator,
Resource resource, String nodePartition) {
userUsageRatios.setUsageRatio(nodePartition, 0);
return updateUsageRatio(resourceCalculator, resource, nodePartition);
}
public synchronized float updateUsageRatio(
ResourceCalculator resourceCalculator,
Resource resource, String nodePartition) {
float delta;
float newRatio =
Resources.ratio(resourceCalculator, getUsed(nodePartition), resource);
delta = newRatio - userUsageRatios.getUsageRatio(nodePartition);
userUsageRatios.setUsageRatio(nodePartition, newRatio);
return delta;
}
public Resource getUsed() {
return userResourceUsage.getUsed();
}
@ -1713,7 +1877,7 @@ public synchronized void collectSchedulerApplications(
.getSchedulableEntities()) {
apps.add(pendingApp.getApplicationAttemptId());
}
for (FiCaSchedulerApp app :
for (FiCaSchedulerApp app :
orderingPolicy.getSchedulableEntities()) {
apps.add(app.getApplicationAttemptId());
}

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@ -41,6 +41,8 @@
import java.util.concurrent.ConcurrentMap;
import java.util.concurrent.CyclicBarrier;
import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import org.apache.hadoop.security.UserGroupInformation;
import org.apache.hadoop.yarn.api.records.ApplicationAttemptId;
import org.apache.hadoop.yarn.api.records.ApplicationId;
@ -72,6 +74,7 @@
import org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.preemption.PreemptionManager;
import org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.LeafQueue.User;
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.server.resourcemanager.scheduler.event.AppAddedSchedulerEvent;
@ -83,6 +86,7 @@
import org.apache.hadoop.yarn.server.resourcemanager.scheduler.policy.OrderingPolicy;
import org.apache.hadoop.yarn.server.resourcemanager.security.RMContainerTokenSecretManager;
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.Resources;
import org.junit.After;
@ -97,6 +101,7 @@
public class TestLeafQueue {
private final RecordFactory recordFactory =
RecordFactoryProvider.getRecordFactory(null);
private static final Log LOG = LogFactory.getLog(TestLeafQueue.class);
RMContext rmContext;
RMContext spyRMContext;
@ -106,16 +111,29 @@ public class TestLeafQueue {
CapacitySchedulerContext csContext;
CSQueue root;
Map<String, CSQueue> queues = new HashMap<String, CSQueue>();
Map<String, CSQueue> queues;
final static int GB = 1024;
final static String DEFAULT_RACK = "/default";
private final ResourceCalculator resourceCalculator = new DefaultResourceCalculator();
private final ResourceCalculator resourceCalculator =
new DefaultResourceCalculator();
private final ResourceCalculator dominantResourceCalculator =
new DominantResourceCalculator();
@Before
public void setUp() throws Exception {
setUpInternal(resourceCalculator);
}
private void setUpWithDominantResourceCalculator() throws Exception {
setUpInternal(dominantResourceCalculator);
}
private void setUpInternal(ResourceCalculator rC) throws Exception {
CapacityScheduler spyCs = new CapacityScheduler();
queues = new HashMap<String, CSQueue>();
cs = spy(spyCs);
rmContext = TestUtils.getMockRMContext();
spyRMContext = spy(rmContext);
@ -134,6 +152,8 @@ public void setUp() throws Exception {
csConf =
new CapacitySchedulerConfiguration();
csConf.setBoolean("yarn.scheduler.capacity.user-metrics.enable", true);
csConf.setBoolean(
"yarn.scheduler.capacity.reservations-continue-look-all-nodes", false);
final String newRoot = "root" + System.currentTimeMillis();
setupQueueConfiguration(csConf, newRoot);
YarnConfiguration conf = new YarnConfiguration();
@ -153,6 +173,7 @@ public void setUp() throws Exception {
when(csContext.getResourceCalculator()).
thenReturn(resourceCalculator);
when(csContext.getPreemptionManager()).thenReturn(new PreemptionManager());
when(csContext.getResourceCalculator()).thenReturn(rC);
when(csContext.getRMContext()).thenReturn(rmContext);
RMContainerTokenSecretManager containerTokenSecretManager =
new RMContainerTokenSecretManager(conf);
@ -179,7 +200,8 @@ public void setUp() throws Exception {
.thenReturn(new YarnConfiguration());
when(cs.getNumClusterNodes()).thenReturn(3);
}
private static final String A = "a";
private static final String B = "b";
private static final String C = "c";
@ -608,14 +630,180 @@ public void testSingleQueueWithOneUser() throws Exception {
assertEquals((int)(a.getCapacity() * node_0.getTotalResource().getMemorySize()),
a.getMetrics().getAvailableMB());
}
@Test
public void testDRFUsageRatioRounding() throws Exception {
CSAssignment assign;
setUpWithDominantResourceCalculator();
// Mock the queue
LeafQueue b = stubLeafQueue((LeafQueue) queues.get(E));
// Users
final String user0 = "user_0";
// Submit applications
final ApplicationAttemptId appAttemptId0 =
TestUtils.getMockApplicationAttemptId(0, 0);
FiCaSchedulerApp app0 =
new FiCaSchedulerApp(appAttemptId0, user0, b,
b.getActiveUsersManager(), spyRMContext);
b.submitApplicationAttempt(app0, user0);
// Setup some nodes
String host0 = "127.0.0.1";
FiCaSchedulerNode node0 =
TestUtils.getMockNode(host0, DEFAULT_RACK, 0, 80 * GB, 100);
// Make cluster relatively large so usageRatios are small
int numNodes = 1000;
Resource clusterResource =
Resources.createResource(numNodes * (80 * GB), numNodes * 100);
when(csContext.getNumClusterNodes()).thenReturn(numNodes);
// Set user-limit. Need a small queue within a large cluster.
b.setUserLimit(50);
b.setUserLimitFactor(1000000);
b.setMaxCapacity(1.0f);
b.setAbsoluteCapacity(0.00001f);
// First allocation is larger than second but is still vcore dominant
// so usage ratio will be based on vcores. If consumedRatio doesn't round
// in our favor then new limit calculation will actually be less than
// what is currently consumed and we will fail to allocate
Priority priority = TestUtils.createMockPriority(1);
app0.updateResourceRequests(Collections.singletonList(TestUtils
.createResourceRequest(ResourceRequest.ANY, 20 * GB, 29, 1, true,
priority, recordFactory, RMNodeLabelsManager.NO_LABEL)));
assign = b.assignContainers(clusterResource, node0, new ResourceLimits(
clusterResource), SchedulingMode.RESPECT_PARTITION_EXCLUSIVITY);
app0.updateResourceRequests(Collections.singletonList(TestUtils
.createResourceRequest(ResourceRequest.ANY, 10 * GB, 29, 2, true,
priority, recordFactory, RMNodeLabelsManager.NO_LABEL)));
assign = b.assignContainers(clusterResource, node0, new ResourceLimits(
clusterResource), SchedulingMode.RESPECT_PARTITION_EXCLUSIVITY);
assertTrue("Still within limits, should assign",
assign.getResource().getMemorySize() > 0);
}
@Test
public void testDRFUserLimits() throws Exception {
setUpWithDominantResourceCalculator();
// Mock the queue
LeafQueue b = stubLeafQueue((LeafQueue) queues.get(B));
// unset maxCapacity
b.setMaxCapacity(1.0f);
// Users
final String user0 = "user_0";
final String user1 = "user_1";
// Submit applications
final ApplicationAttemptId appAttemptId0 =
TestUtils.getMockApplicationAttemptId(0, 0);
FiCaSchedulerApp app0 =
new FiCaSchedulerApp(appAttemptId0, user0, b,
b.getActiveUsersManager(), spyRMContext);
b.submitApplicationAttempt(app0, user0);
final ApplicationAttemptId appAttemptId2 =
TestUtils.getMockApplicationAttemptId(2, 0);
FiCaSchedulerApp app2 =
new FiCaSchedulerApp(appAttemptId2, user1, b,
b.getActiveUsersManager(), spyRMContext);
b.submitApplicationAttempt(app2, user1);
// Setup some nodes
String host0 = "127.0.0.1";
FiCaSchedulerNode node0 =
TestUtils.getMockNode(host0, DEFAULT_RACK, 0, 8 * GB, 100);
String host1 = "127.0.0.2";
FiCaSchedulerNode node1 =
TestUtils.getMockNode(host1, DEFAULT_RACK, 0, 8 * GB, 100);
int numNodes = 2;
Resource clusterResource =
Resources.createResource(numNodes * (8 * GB), numNodes * 100);
when(csContext.getNumClusterNodes()).thenReturn(numNodes);
// Setup resource-requests so that one application is memory dominant
// and other application is vcores dominant
Priority priority = TestUtils.createMockPriority(1);
app0.updateResourceRequests(Collections.singletonList(TestUtils
.createResourceRequest(ResourceRequest.ANY, 1 * GB, 40, 10, true,
priority, recordFactory, RMNodeLabelsManager.NO_LABEL)));
app2.updateResourceRequests(Collections.singletonList(TestUtils
.createResourceRequest(ResourceRequest.ANY, 2 * GB, 10, 10, true,
priority, recordFactory, RMNodeLabelsManager.NO_LABEL)));
/**
* Start testing...
*/
// Set user-limit
b.setUserLimit(50);
b.setUserLimitFactor(2);
User queueUser0 = b.getUser(user0);
User queueUser1 = b.getUser(user1);
assertEquals("There should 2 active users!", 2, b
.getActiveUsersManager().getNumActiveUsers());
// Fill both Nodes as far as we can
CSAssignment assign;
do {
assign =
b.assignContainers(clusterResource, node0, new ResourceLimits(
clusterResource), SchedulingMode.RESPECT_PARTITION_EXCLUSIVITY);
LOG.info(assign.toString());
} while (assign.getResource().getMemorySize() > 0 &&
assign.getAssignmentInformation().getNumReservations() == 0);
do {
assign =
b.assignContainers(clusterResource, node1, new ResourceLimits(
clusterResource), SchedulingMode.RESPECT_PARTITION_EXCLUSIVITY);
} while (assign.getResource().getMemorySize() > 0 &&
assign.getAssignmentInformation().getNumReservations() == 0);
//LOG.info("user_0: " + queueUser0.getUsed());
//LOG.info("user_1: " + queueUser1.getUsed());
assertTrue("Verify user_0 got resources ", queueUser0.getUsed()
.getMemorySize() > 0);
assertTrue("Verify user_1 got resources ", queueUser1.getUsed()
.getMemorySize() > 0);
assertTrue(
"Exepected AbsoluteUsedCapacity > 0.95, got: "
+ b.getAbsoluteUsedCapacity(), b.getAbsoluteUsedCapacity() > 0.95);
// Verify consumedRatio is based on dominant resources
float expectedRatio =
queueUser0.getUsed().getVirtualCores()
/ (numNodes * 100.0f)
+ queueUser1.getUsed().getMemorySize()
/ (numNodes * 8.0f * GB);
assertEquals(expectedRatio, b.getUsageRatio(""), 0.001);
// Add another node and make sure consumedRatio is adjusted
// accordingly.
numNodes = 3;
clusterResource =
Resources.createResource(numNodes * (8 * GB), numNodes * 100);
when(csContext.getNumClusterNodes()).thenReturn(numNodes);
root.updateClusterResource(clusterResource, new ResourceLimits(
clusterResource));
expectedRatio =
queueUser0.getUsed().getVirtualCores()
/ (numNodes * 100.0f)
+ queueUser1.getUsed().getMemorySize()
/ (numNodes * 8.0f * GB);
assertEquals(expectedRatio, b.getUsageRatio(""), 0.001);
}
@Test
public void testUserLimits() throws Exception {
// Mock the queue
LeafQueue a = stubLeafQueue((LeafQueue)queues.get(A));
//unset maxCapacity
a.setMaxCapacity(1.0f);
// Users
final String user_0 = "user_0";
final String user_1 = "user_1";

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@ -161,10 +161,17 @@ public static Priority createMockPriority( int priority) {
public static ResourceRequest createResourceRequest(
String resourceName, int memory, int numContainers, boolean relaxLocality,
Priority priority, RecordFactory recordFactory, String labelExpression) {
ResourceRequest request =
return createResourceRequest(resourceName, memory, 1, numContainers,
relaxLocality, priority, recordFactory, labelExpression);
}
public static ResourceRequest createResourceRequest(String resourceName,
int memory, int vcores, int numContainers, boolean relaxLocality,
Priority priority, RecordFactory recordFactory, String labelExpression) {
ResourceRequest request =
recordFactory.newRecordInstance(ResourceRequest.class);
Resource capability = Resources.createResource(memory, 1);
Resource capability = Resources.createResource(memory, vcores);
request.setNumContainers(numContainers);
request.setResourceName(resourceName);
request.setCapability(capability);
@ -192,13 +199,18 @@ public static ApplicationId getMockApplicationId(int appId) {
return ApplicationAttemptId.newInstance(applicationId, attemptId);
}
public static FiCaSchedulerNode getMockNode(
String host, String rack, int port, int capability) {
public static FiCaSchedulerNode getMockNode(String host, String rack,
int port, int memory) {
return getMockNode(host, rack, port, memory, 1);
}
public static FiCaSchedulerNode getMockNode(String host, String rack,
int port, int memory, int vcores) {
NodeId nodeId = NodeId.newInstance(host, port);
RMNode rmNode = mock(RMNode.class);
when(rmNode.getNodeID()).thenReturn(nodeId);
when(rmNode.getTotalCapability()).thenReturn(
Resources.createResource(capability, 1));
Resources.createResource(memory, vcores));
when(rmNode.getNodeAddress()).thenReturn(host+":"+port);
when(rmNode.getHostName()).thenReturn(host);
when(rmNode.getRackName()).thenReturn(rack);