use of org.apache.hadoop.yarn.server.resourcemanager.reservation.CapacityOverTimePolicy 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.CapacityOverTimePolicy 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.CapacityOverTimePolicy 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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