use of org.apache.hadoop.yarn.server.resourcemanager.reservation.InMemoryPlan in project hadoop by apache.
the class TestGreedyReservationAgent method setup.
@Before
public void setup() throws Exception {
long seed = rand.nextLong();
rand.setSeed(seed);
Log.getLog().info("Running with seed: " + seed);
// setting completely loose quotas
long timeWindow = 1000000L;
Resource clusterCapacity = Resource.newInstance(100 * 1024, 100);
step = 1000L;
String reservationQ = ReservationSystemTestUtil.getFullReservationQueueName();
float instConstraint = 100;
float avgConstraint = 100;
ReservationSchedulerConfiguration conf = ReservationSystemTestUtil.createConf(reservationQ, timeWindow, instConstraint, avgConstraint);
CapacityOverTimePolicy policy = new CapacityOverTimePolicy();
policy.init(reservationQ, conf);
// setting conf to
conf.setBoolean(GreedyReservationAgent.GREEDY_FAVOR_EARLY_ALLOCATION, allocateLeft);
agent = new GreedyReservationAgent();
agent.init(conf);
QueueMetrics queueMetrics = mock(QueueMetrics.class);
RMContext context = ReservationSystemTestUtil.createMockRMContext();
plan = new InMemoryPlan(queueMetrics, policy, agent, clusterCapacity, step, res, minAlloc, maxAlloc, "dedicated", null, true, context);
}
use of org.apache.hadoop.yarn.server.resourcemanager.reservation.InMemoryPlan in project hadoop by apache.
the class TestGreedyReservationAgent method testStress.
public void testStress(int numJobs) throws PlanningException, IOException {
long timeWindow = 1000000L;
Resource clusterCapacity = Resource.newInstance(500 * 100 * 1024, 500 * 32);
step = 1000L;
ReservationSystemTestUtil testUtil = new ReservationSystemTestUtil();
CapacityScheduler scheduler = testUtil.mockCapacityScheduler(500 * 100);
String reservationQ = ReservationSystemTestUtil.getFullReservationQueueName();
float instConstraint = 100;
float avgConstraint = 100;
ReservationSchedulerConfiguration conf = ReservationSystemTestUtil.createConf(reservationQ, timeWindow, instConstraint, avgConstraint);
CapacityOverTimePolicy policy = new CapacityOverTimePolicy();
policy.init(reservationQ, conf);
RMContext context = ReservationSystemTestUtil.createMockRMContext();
plan = new InMemoryPlan(scheduler.getRootQueueMetrics(), policy, agent, clusterCapacity, step, res, minAlloc, maxAlloc, "dedicated", null, true, context);
int acc = 0;
List<ReservationDefinition> list = new ArrayList<ReservationDefinition>();
for (long i = 0; i < numJobs; i++) {
list.add(ReservationSystemTestUtil.generateRandomRR(rand, i));
}
long start = System.currentTimeMillis();
for (int i = 0; i < numJobs; i++) {
try {
if (agent.createReservation(ReservationSystemTestUtil.getNewReservationId(), "u" + i % 100, plan, list.get(i))) {
acc++;
}
} catch (PlanningException p) {
// ignore exceptions
}
}
long end = System.currentTimeMillis();
System.out.println("Submitted " + numJobs + " jobs " + " accepted " + acc + " in " + (end - start) + "ms");
}
use of org.apache.hadoop.yarn.server.resourcemanager.reservation.InMemoryPlan in project hadoop by apache.
the class TestSimpleCapacityReplanner method testReplanningPlanCapacityLoss.
@Test
public void testReplanningPlanCapacityLoss() throws PlanningException {
Resource clusterCapacity = Resource.newInstance(100 * 1024, 100);
Resource minAlloc = Resource.newInstance(1024, 1);
Resource maxAlloc = Resource.newInstance(1024 * 8, 8);
ResourceCalculator res = new DefaultResourceCalculator();
long step = 1L;
Clock clock = mock(Clock.class);
ReservationAgent agent = mock(ReservationAgent.class);
SharingPolicy policy = new NoOverCommitPolicy();
policy.init("root.dedicated", null);
QueueMetrics queueMetrics = mock(QueueMetrics.class);
when(clock.getTime()).thenReturn(0L);
SimpleCapacityReplanner enf = new SimpleCapacityReplanner(clock);
RMContext context = ReservationSystemTestUtil.createMockRMContext();
ReservationSchedulerConfiguration conf = mock(ReservationSchedulerConfiguration.class);
when(conf.getEnforcementWindow(any(String.class))).thenReturn(6L);
enf.init("blah", conf);
// Initialize the plan with more resources
InMemoryPlan plan = new InMemoryPlan(queueMetrics, policy, agent, clusterCapacity, step, res, minAlloc, maxAlloc, "dedicated", enf, true, context, clock);
// add reservation filling the plan (separating them 1ms, so we are sure
// s2 follows s1 on acceptance
long ts = System.currentTimeMillis();
ReservationId r1 = ReservationId.newInstance(ts, 1);
int[] f5 = { 20, 20, 20, 20, 20 };
ReservationDefinition rDef = ReservationSystemTestUtil.createSimpleReservationDefinition(0, 0 + f5.length, f5.length);
assertTrue(plan.toString(), plan.addReservation(new InMemoryReservationAllocation(r1, rDef, "u3", "dedicated", 0, 0 + f5.length, generateAllocation(0, f5), res, minAlloc), false));
when(clock.getTime()).thenReturn(1L);
ReservationId r2 = ReservationId.newInstance(ts, 2);
assertTrue(plan.toString(), plan.addReservation(new InMemoryReservationAllocation(r2, rDef, "u4", "dedicated", 0, 0 + f5.length, generateAllocation(0, f5), res, minAlloc), false));
when(clock.getTime()).thenReturn(2L);
ReservationId r3 = ReservationId.newInstance(ts, 3);
assertTrue(plan.toString(), plan.addReservation(new InMemoryReservationAllocation(r3, rDef, "u5", "dedicated", 0, 0 + f5.length, generateAllocation(0, f5), res, minAlloc), false));
when(clock.getTime()).thenReturn(3L);
ReservationId r4 = ReservationId.newInstance(ts, 4);
assertTrue(plan.toString(), plan.addReservation(new InMemoryReservationAllocation(r4, rDef, "u6", "dedicated", 0, 0 + f5.length, generateAllocation(0, f5), res, minAlloc), false));
when(clock.getTime()).thenReturn(4L);
ReservationId r5 = ReservationId.newInstance(ts, 5);
assertTrue(plan.toString(), plan.addReservation(new InMemoryReservationAllocation(r5, rDef, "u7", "dedicated", 0, 0 + f5.length, generateAllocation(0, f5), res, minAlloc), false));
int[] f6 = { 50, 50, 50, 50, 50 };
ReservationId r6 = ReservationId.newInstance(ts, 6);
assertTrue(plan.toString(), plan.addReservation(new InMemoryReservationAllocation(r6, rDef, "u3", "dedicated", 10, 10 + f6.length, generateAllocation(10, f6), res, minAlloc), false));
when(clock.getTime()).thenReturn(6L);
ReservationId r7 = ReservationId.newInstance(ts, 7);
assertTrue(plan.toString(), plan.addReservation(new InMemoryReservationAllocation(r7, rDef, "u4", "dedicated", 10, 10 + f6.length, generateAllocation(10, f6), res, minAlloc), false));
// remove some of the resources (requires replanning)
plan.setTotalCapacity(Resource.newInstance(70 * 1024, 70));
when(clock.getTime()).thenReturn(0L);
// run the replanner
enf.plan(plan, null);
// check which reservation are still present
assertNotNull(plan.getReservationById(r1));
assertNotNull(plan.getReservationById(r2));
assertNotNull(plan.getReservationById(r3));
assertNotNull(plan.getReservationById(r6));
assertNotNull(plan.getReservationById(r7));
// and which ones are removed
assertNull(plan.getReservationById(r4));
assertNull(plan.getReservationById(r5));
// check resources at each moment in time no more exceed capacity
for (int i = 0; i < 20; i++) {
long tot = 0;
for (ReservationAllocation r : plan.getReservationsAtTime(i)) {
tot = r.getResourcesAtTime(i).getMemorySize();
}
assertTrue(tot <= 70 * 1024);
}
}
use of org.apache.hadoop.yarn.server.resourcemanager.reservation.InMemoryPlan in project hadoop by apache.
the class TestAlignedPlanner method setup.
@Before
public void setup() throws Exception {
// Initialize random seed
long seed = rand.nextLong();
rand.setSeed(seed);
Log.getLog().info("Running with seed: " + seed);
// Set cluster parameters
long timeWindow = 1000000L;
int capacityMem = 100 * 1024;
int capacityCores = 100;
step = 60000L;
Resource clusterCapacity = Resource.newInstance(capacityMem, capacityCores);
String reservationQ = ReservationSystemTestUtil.getFullReservationQueueName();
float instConstraint = 100;
float avgConstraint = 100;
ReservationSchedulerConfiguration conf = ReservationSystemTestUtil.createConf(reservationQ, timeWindow, instConstraint, avgConstraint);
CapacityOverTimePolicy policy = new CapacityOverTimePolicy();
policy.init(reservationQ, conf);
QueueMetrics queueMetrics = mock(QueueMetrics.class);
RMContext context = ReservationSystemTestUtil.createMockRMContext();
conf.setInt(AlignedPlannerWithGreedy.SMOOTHNESS_FACTOR, AlignedPlannerWithGreedy.DEFAULT_SMOOTHNESS_FACTOR);
// Set planning agent
agent = new AlignedPlannerWithGreedy();
agent.init(conf);
// Create Plan
plan = new InMemoryPlan(queueMetrics, policy, agent, clusterCapacity, step, res, minAlloc, maxAlloc, "dedicated", null, true, context);
}
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