Examples with Cluster org.apache.storm.scheduler.Cluster used on opensource projects

Example 26 with Cluster

use of org.apache.storm.scheduler.Cluster in project storm by apache.

the class TestNodeSorterHostProximity method testMultipleRacksOrderedByCapacity.

/**
 * Racks should be returned in order of decreasing capacity.
 */
@Test
public void testMultipleRacksOrderedByCapacity() {
    final Map<String, SupervisorDetails> supMap = new HashMap<>();
    final int numRacks = 1;
    final int numSupersPerRack = 10;
    final int numPortsPerSuper = 4;
    final int numZonesPerHost = 1;
    final double numaResourceMultiplier = 1.0;
    int rackStartNum = 0;
    int supStartNum = 0;
    final Map<String, SupervisorDetails> supMapRack0 = genSupervisorsWithRacksAndNuma(numRacks, numSupersPerRack, numZonesPerHost, numPortsPerSuper, rackStartNum++, supStartNum, 600, 8000 - rackStartNum, Collections.emptyMap(), numaResourceMultiplier);
    supStartNum += numSupersPerRack;
    final Map<String, SupervisorDetails> supMapRack1 = genSupervisorsWithRacksAndNuma(numRacks, numSupersPerRack, numZonesPerHost, numPortsPerSuper, rackStartNum++, supStartNum, 500, 8000 - rackStartNum, Collections.emptyMap(), numaResourceMultiplier);
    supStartNum += numSupersPerRack;
    final Map<String, SupervisorDetails> supMapRack2 = genSupervisorsWithRacksAndNuma(numRacks, numSupersPerRack, numZonesPerHost, numPortsPerSuper, rackStartNum++, supStartNum, 400, 8000 - rackStartNum, Collections.emptyMap(), numaResourceMultiplier);
    supStartNum += numSupersPerRack;
    final Map<String, SupervisorDetails> supMapRack3 = genSupervisorsWithRacksAndNuma(numRacks, numSupersPerRack, numZonesPerHost, numPortsPerSuper, rackStartNum++, supStartNum, 300, 8000 - rackStartNum, Collections.emptyMap(), numaResourceMultiplier);
    supStartNum += numSupersPerRack;
    final Map<String, SupervisorDetails> supMapRack4 = genSupervisorsWithRacksAndNuma(numRacks, numSupersPerRack, numZonesPerHost, numPortsPerSuper, rackStartNum++, supStartNum, 200, 8000 - rackStartNum, Collections.emptyMap(), numaResourceMultiplier);
    // too small to hold topology
    supStartNum += numSupersPerRack;
    final Map<String, SupervisorDetails> supMapRack5 = genSupervisorsWithRacksAndNuma(numRacks, numSupersPerRack, numZonesPerHost, numPortsPerSuper, rackStartNum++, supStartNum, 100, 8000 - rackStartNum, Collections.singletonMap("gpu.count", 0.0), numaResourceMultiplier);
    supMap.putAll(supMapRack0);
    supMap.putAll(supMapRack1);
    supMap.putAll(supMapRack2);
    supMap.putAll(supMapRack3);
    supMap.putAll(supMapRack4);
    supMap.putAll(supMapRack5);
    Config config = createClusterConfig(100, 500, 500, null);
    config.put(Config.TOPOLOGY_WORKER_MAX_HEAP_SIZE_MB, Double.MAX_VALUE);
    INimbus iNimbus = new INimbusTest();
    // create test DNSToSwitchMapping plugin
    TestDNSToSwitchMapping testDNSToSwitchMapping = new TestDNSToSwitchMapping(supMapRack0, supMapRack1, supMapRack2, supMapRack3, supMapRack4, supMapRack5);
    // generate topologies
    TopologyDetails topo1 = genTopology("topo-1", config, 8, 0, 2, 0, CURRENT_TIME - 2, 10, "user");
    TopologyDetails topo2 = genTopology("topo-2", config, 8, 0, 2, 0, CURRENT_TIME - 2, 10, "user");
    Topologies topologies = new Topologies(topo1, topo2);
    Cluster cluster = new Cluster(iNimbus, new ResourceMetrics(new StormMetricsRegistry()), supMap, new HashMap<>(), topologies, config);
    cluster.setNetworkTopography(testDNSToSwitchMapping.getRackToHosts());
    NodeSorterHostProximity nodeSorter = new NodeSorterHostProximity(cluster, topo1);
    nodeSorter.prepare(null);
    List<ObjectResourcesItem> sortedRacks = StreamSupport.stream(nodeSorter.getSortedRacks().spliterator(), false).collect(Collectors.toList());
    String rackSummaries = sortedRacks.stream().map(x -> String.format("Rack %s -> scheduled-cnt %d, min-avail %f, avg-avail %f, cpu %f, mem %f", x.id, nodeSorter.getScheduledExecCntByRackId().getOrDefault(x.id, new AtomicInteger(-1)).get(), x.minResourcePercent, x.avgResourcePercent, x.availableResources.getTotalCpu(), x.availableResources.getTotalMemoryMb())).collect(Collectors.joining("\n\t"));
    NormalizedResourceRequest topoResourceRequest = topo1.getApproximateTotalResources();
    String topoRequest = String.format("Topo %s, approx-requested-resources %s", topo1.getId(), topoResourceRequest.toString());
    Iterator<ObjectResourcesItem> it = sortedRacks.iterator();
    Assert.assertEquals(topoRequest + "\n\t" + rackSummaries + "\nRack-000 should be ordered first since it has the largest capacity", "rack-000", it.next().id);
    Assert.assertEquals(topoRequest + "\n\t" + rackSummaries + "\nrack-001 should be ordered second since it smaller than rack-000", "rack-001", it.next().id);
    Assert.assertEquals(topoRequest + "\n\t" + rackSummaries + "\nrack-002 should be ordered third since it is smaller than rack-001", "rack-002", it.next().id);
    Assert.assertEquals(topoRequest + "\n\t" + rackSummaries + "\nrack-003 should be ordered fourth since it since it is smaller than rack-002", "rack-003", it.next().id);
    Assert.assertEquals(topoRequest + "\n\t" + rackSummaries + "\nrack-004 should be ordered fifth since it since it is smaller than rack-003", "rack-004", it.next().id);
    Assert.assertEquals(topoRequest + "\n\t" + rackSummaries + "\nrack-005 should be ordered last since it since it is has smallest capacity", "rack-005", it.next().id);
}

Example 27 with Cluster

use of org.apache.storm.scheduler.Cluster in project storm by apache.

the class TestConstraintSolverStrategy method testIntegrationWithRAS.

@Test
public void testIntegrationWithRAS() {
    if (!consolidatedConfigFlag) {
        LOG.info("Skipping test since bolt-1 maxCoLocationCnt=10 requires consolidatedConfigFlag=true, current={}", consolidatedConfigFlag);
        return;
    }
    Map<String, Object> config = Utils.readDefaultConfig();
    config.put(Config.TOPOLOGY_SCHEDULER_STRATEGY, ConstraintSolverStrategy.class.getName());
    config.put(Config.TOPOLOGY_RAS_CONSTRAINT_MAX_STATE_SEARCH, MAX_TRAVERSAL_DEPTH);
    config.put(Config.TOPOLOGY_WORKER_MAX_HEAP_SIZE_MB, 100_000);
    config.put(Config.TOPOLOGY_PRIORITY, 1);
    config.put(Config.TOPOLOGY_COMPONENT_CPU_PCORE_PERCENT, 10);
    config.put(Config.TOPOLOGY_COMPONENT_RESOURCES_ONHEAP_MEMORY_MB, 100);
    config.put(Config.TOPOLOGY_COMPONENT_RESOURCES_OFFHEAP_MEMORY_MB, 0.0);
    List<List<String>> constraints = new LinkedList<>();
    addConstraints("spout-0", "bolt-0", constraints);
    addConstraints("bolt-1", "bolt-1", constraints);
    addConstraints("bolt-1", "bolt-2", constraints);
    Map<String, Integer> spreads = new HashMap<String, Integer>();
    spreads.put("spout-0", 1);
    spreads.put("bolt-1", 10);
    setConstraintConfig(constraints, spreads, config);
    TopologyDetails topo = genTopology("testTopo", config, 2, 3, 30, 300, 0, 0, "user");
    Map<String, TopologyDetails> topoMap = new HashMap<>();
    topoMap.put(topo.getId(), topo);
    Topologies topologies = new Topologies(topoMap);
    // Fails with 36 supervisors, works with 37
    Map<String, SupervisorDetails> supMap = genSupervisors(37, 16, 400, 1024 * 4);
    Cluster cluster = makeCluster(topologies, supMap);
    ResourceAwareScheduler rs = new ResourceAwareScheduler();
    rs.prepare(config, new StormMetricsRegistry());
    try {
        rs.schedule(topologies, cluster);
        assertStatusSuccess(cluster, topo.getId());
        Assert.assertEquals("topo all executors scheduled?", 0, cluster.getUnassignedExecutors(topo).size());
    } finally {
        rs.cleanup();
    }
    // simulate worker loss
    Map<ExecutorDetails, WorkerSlot> newExecToSlot = new HashMap<>();
    Map<ExecutorDetails, WorkerSlot> execToSlot = cluster.getAssignmentById(topo.getId()).getExecutorToSlot();
    Iterator<Map.Entry<ExecutorDetails, WorkerSlot>> it = execToSlot.entrySet().iterator();
    for (int i = 0; i < execToSlot.size() / 2; i++) {
        ExecutorDetails exec = it.next().getKey();
        WorkerSlot ws = it.next().getValue();
        newExecToSlot.put(exec, ws);
    }
    Map<String, SchedulerAssignment> newAssignments = new HashMap<>();
    newAssignments.put(topo.getId(), new SchedulerAssignmentImpl(topo.getId(), newExecToSlot, null, null));
    cluster.setAssignments(newAssignments, false);
    rs.prepare(config, new StormMetricsRegistry());
    try {
        rs.schedule(topologies, cluster);
        assertStatusSuccess(cluster, topo.getId());
        Assert.assertEquals("topo all executors scheduled?", 0, cluster.getUnassignedExecutors(topo).size());
    } finally {
        rs.cleanup();
    }
}

Example 28 with Cluster

use of org.apache.storm.scheduler.Cluster in project storm by apache.

the class TestGenericResourceAwareStrategy method testGenericResourceAwareStrategySharedMemory.

/**
 * test if the scheduling logic for the GenericResourceAwareStrategy is correct.
 */
@Test
public void testGenericResourceAwareStrategySharedMemory() {
    int spoutParallelism = 2;
    int boltParallelism = 2;
    int numBolts = 3;
    double cpuPercent = 10;
    double memoryOnHeap = 10;
    double memoryOffHeap = 10;
    double sharedOnHeap = 500;
    double sharedOffHeapNode = 700;
    double sharedOffHeapWorker = 500;
    TopologyBuilder builder = new TopologyBuilder();
    builder.setSpout("spout", new TestSpout(), spoutParallelism).addResource("gpu.count", 1.0);
    builder.setBolt("bolt-1", new TestBolt(), boltParallelism).addSharedMemory(new SharedOffHeapWithinWorker(sharedOffHeapWorker, "bolt-1 shared off heap worker")).shuffleGrouping("spout");
    builder.setBolt("bolt-2", new TestBolt(), boltParallelism).addSharedMemory(new SharedOffHeapWithinNode(sharedOffHeapNode, "bolt-2 shared node")).shuffleGrouping("bolt-1");
    builder.setBolt("bolt-3", new TestBolt(), boltParallelism).addSharedMemory(new SharedOnHeap(sharedOnHeap, "bolt-3 shared worker")).shuffleGrouping("bolt-2");
    StormTopology stormToplogy = builder.createTopology();
    INimbus iNimbus = new INimbusTest();
    Config conf = createGrasClusterConfig(cpuPercent, memoryOnHeap, memoryOffHeap, null, Collections.emptyMap());
    Map<String, Double> genericResourcesMap = new HashMap<>();
    genericResourcesMap.put("gpu.count", 1.0);
    Map<String, SupervisorDetails> supMap = genSupervisors(4, 4, 500, 2000, genericResourcesMap);
    conf.put(Config.TOPOLOGY_PRIORITY, 0);
    conf.put(Config.TOPOLOGY_NAME, "testTopology");
    conf.put(Config.TOPOLOGY_WORKER_MAX_HEAP_SIZE_MB, 2000);
    TopologyDetails topo = new TopologyDetails("testTopology-id", conf, stormToplogy, 0, genExecsAndComps(stormToplogy), currentTime, "user");
    Topologies topologies = new Topologies(topo);
    Cluster cluster = new Cluster(iNimbus, new ResourceMetrics(new StormMetricsRegistry()), supMap, new HashMap<>(), topologies, conf);
    scheduler = new ResourceAwareScheduler();
    scheduler.prepare(conf, new StormMetricsRegistry());
    scheduler.schedule(topologies, cluster);
    for (Entry<String, SupervisorResources> entry : cluster.getSupervisorsResourcesMap().entrySet()) {
        String supervisorId = entry.getKey();
        SupervisorResources resources = entry.getValue();
        assertTrue(supervisorId, resources.getTotalCpu() >= resources.getUsedCpu());
        assertTrue(supervisorId, resources.getTotalMem() >= resources.getUsedMem());
    }
    // If we didn't take GPUs into account everything would fit under a single slot
    // But because there is only 1 GPU per node, and each of the 2 spouts needs a GPU
    // It has to be scheduled on at least 2 nodes, and hence 2 slots.
    // Because of this all of the bolts will be scheduled on a single slot with one of
    // the spouts and the other spout is on its own slot.  So everything that can be shared is
    // shared.
    int totalNumberOfTasks = (spoutParallelism + (boltParallelism * numBolts));
    double totalExpectedCPU = totalNumberOfTasks * cpuPercent;
    double totalExpectedOnHeap = (totalNumberOfTasks * memoryOnHeap) + sharedOnHeap;
    double totalExpectedWorkerOffHeap = (totalNumberOfTasks * memoryOffHeap) + sharedOffHeapWorker;
    SchedulerAssignment assignment = cluster.getAssignmentById(topo.getId());
    Set<WorkerSlot> slots = assignment.getSlots();
    Map<String, Double> nodeToTotalShared = assignment.getNodeIdToTotalSharedOffHeapNodeMemory();
    LOG.info("NODE TO SHARED OFF HEAP {}", nodeToTotalShared);
    Map<WorkerSlot, WorkerResources> scheduledResources = assignment.getScheduledResources();
    assertEquals(2, slots.size());
    assertEquals(2, nodeToTotalShared.size());
    assertEquals(2, scheduledResources.size());
    double totalFoundCPU = 0.0;
    double totalFoundOnHeap = 0.0;
    double totalFoundWorkerOffHeap = 0.0;
    for (WorkerSlot ws : slots) {
        WorkerResources resources = scheduledResources.get(ws);
        totalFoundCPU += resources.get_cpu();
        totalFoundOnHeap += resources.get_mem_on_heap();
        totalFoundWorkerOffHeap += resources.get_mem_off_heap();
    }
    assertEquals(totalExpectedCPU, totalFoundCPU, 0.01);
    assertEquals(totalExpectedOnHeap, totalFoundOnHeap, 0.01);
    assertEquals(totalExpectedWorkerOffHeap, totalFoundWorkerOffHeap, 0.01);
    assertEquals(sharedOffHeapNode, nodeToTotalShared.values().stream().mapToDouble((d) -> d).sum(), 0.01);
    assertEquals(sharedOnHeap, scheduledResources.values().stream().mapToDouble(WorkerResources::get_shared_mem_on_heap).sum(), 0.01);
    assertEquals(sharedOffHeapWorker, scheduledResources.values().stream().mapToDouble(WorkerResources::get_shared_mem_off_heap).sum(), 0.01);
}

Example 29 with Cluster

use of org.apache.storm.scheduler.Cluster in project storm by apache.

the class TestGenericResourceAwareStrategy method testGenericResourceAwareStrategyWithSettingAckerExecutors.

/**
 * Test if the scheduling logic for the GenericResourceAwareStrategy is correct
 * with setting {@link Config#TOPOLOGY_ACKER_EXECUTORS}.
 *
 * Test details refer to {@link TestDefaultResourceAwareStrategy#testDefaultResourceAwareStrategyWithSettingAckerExecutors(int)}
 */
@ParameterizedTest
@ValueSource(ints = { -1, 0, 2, 200 })
public void testGenericResourceAwareStrategyWithSettingAckerExecutors(int numOfAckersPerWorker) throws InvalidTopologyException {
    int spoutParallelism = 1;
    int boltParallelism = 2;
    TopologyBuilder builder = new TopologyBuilder();
    builder.setSpout("spout", new TestSpout(), spoutParallelism);
    builder.setBolt("bolt-1", new TestBolt(), boltParallelism).shuffleGrouping("spout");
    builder.setBolt("bolt-2", new TestBolt(), boltParallelism).shuffleGrouping("bolt-1").addResource("gpu.count", 1.0);
    builder.setBolt("bolt-3", new TestBolt(), boltParallelism).shuffleGrouping("bolt-2").addResource("gpu.count", 2.0);
    String topoName = "testTopology";
    StormTopology stormToplogy = builder.createTopology();
    INimbus iNimbus = new INimbusTest();
    Config conf = createGrasClusterConfig(50, 500, 0, null, Collections.emptyMap());
    Map<String, Double> genericResourcesMap = new HashMap<>();
    genericResourcesMap.put("gpu.count", 2.0);
    Map<String, SupervisorDetails> supMap = genSupervisors(4, 4, 200, 2000, genericResourcesMap);
    conf.put(Config.TOPOLOGY_PRIORITY, 0);
    conf.put(Config.TOPOLOGY_NAME, topoName);
    conf.put(Config.TOPOLOGY_WORKER_MAX_HEAP_SIZE_MB, 2000);
    conf.put(Config.TOPOLOGY_SUBMITTER_USER, "user");
    conf.put(Config.TOPOLOGY_ACKER_EXECUTORS, 4);
    if (numOfAckersPerWorker == -1) {
    // Leave topology.acker.executors.per.worker unset
    } else {
        conf.put(Config.TOPOLOGY_RAS_ACKER_EXECUTORS_PER_WORKER, numOfAckersPerWorker);
    }
    int estimatedNumWorker = ServerUtils.getEstimatedWorkerCountForRasTopo(conf, stormToplogy);
    Nimbus.setUpAckerExecutorConfigs(topoName, conf, conf, estimatedNumWorker);
    conf.put(Config.TOPOLOGY_ACKER_RESOURCES_ONHEAP_MEMORY_MB, 250);
    conf.put(Config.TOPOLOGY_ACKER_CPU_PCORE_PERCENT, 50);
    TopologyDetails topo = new TopologyDetails("testTopology-id", conf, stormToplogy, 0, genExecsAndComps(StormCommon.systemTopology(conf, stormToplogy)), currentTime, "user");
    Topologies topologies = new Topologies(topo);
    Cluster cluster = new Cluster(iNimbus, new ResourceMetrics(new StormMetricsRegistry()), supMap, new HashMap<>(), topologies, conf);
    scheduler = new ResourceAwareScheduler();
    scheduler.prepare(conf, new StormMetricsRegistry());
    scheduler.schedule(topologies, cluster);
    // We need to have 3 slots on 3 separate hosts. The topology needs 6 GPUs 3500 MB memory and 350% CPU
    // The bolt-3 instances must be on separate nodes because they each need 2 GPUs.
    // The bolt-2 instances must be on the same node as they each need 1 GPU
    // (this assumes that we are packing the components to avoid fragmentation).
    // The bolt-1 and spout instances fill in the rest.
    // Ordered execs: [[6, 6], [2, 2], [4, 4], [5, 5], [1, 1], [3, 3], [0, 0]]
    // Ackers: [[8, 8], [7, 7]] (+ [[9, 9], [10, 10]] when numOfAckersPerWorker=2)
    HashSet<HashSet<ExecutorDetails>> expectedScheduling = new HashSet<>();
    expectedScheduling.add(new HashSet<>(Arrays.asList(// bolt-3 - 500 MB, 50% CPU, 2 GPU
    new ExecutorDetails(3, 3))));
    // Total 500 MB, 50% CPU, 2 - GPU -> this node has 1500 MB, 150% cpu, 0 GPU left
    expectedScheduling.add(new HashSet<>(Arrays.asList(// acker - 250 MB, 50% CPU, 0 GPU
    new ExecutorDetails(7, 7), // acker - 250 MB, 50% CPU, 0 GPU
    new ExecutorDetails(8, 8), // bolt-2 - 500 MB, 50% CPU, 1 GPU
    new ExecutorDetails(6, 6), // bolt-1 - 500 MB, 50% CPU, 0 GPU
    new ExecutorDetails(2, 2))));
    // Total 1500 MB, 200% CPU, 2 GPU -> this node has 500 MB, 0% CPU, 0 GPU left
    expectedScheduling.add(new HashSet<>(Arrays.asList(// acker- 250 MB, 50% CPU, 0 GPU
    new ExecutorDetails(9, 9), // acker- 250 MB, 50% CPU, 0 GPU
    new ExecutorDetails(10, 10), // bolt-1 - 500 MB, 50% CPU, 0 GPU
    new ExecutorDetails(1, 1), // bolt-3 500 MB, 50% cpu, 2 GPU
    new ExecutorDetails(4, 4))));
    // Total 1500 MB, 200% CPU, 2 GPU -> this node has 500 MB, 0% CPU, 0 GPU left
    expectedScheduling.add(new HashSet<>(Arrays.asList(// Spout - 500 MB, 50% CPU, 0 GPU
    new ExecutorDetails(0, 0), // bolt-2 - 500 MB, 50% CPU, 1 GPU
    new ExecutorDetails(5, 5))));
    // Total 1000 MB, 100% CPU, 2 GPU -> this node has 1000 MB, 100% CPU, 0 GPU left
    HashSet<HashSet<ExecutorDetails>> foundScheduling = new HashSet<>();
    SchedulerAssignment assignment = cluster.getAssignmentById("testTopology-id");
    for (Collection<ExecutorDetails> execs : assignment.getSlotToExecutors().values()) {
        foundScheduling.add(new HashSet<>(execs));
    }
    assertEquals(expectedScheduling, foundScheduling);
}

Example 30 with Cluster

use of org.apache.storm.scheduler.Cluster in project storm by apache.

the class TestDefaultResourceAwareStrategy method testSchedulingNegativeResources.

/*
     * test scheduling does not cause negative resources
     */
@Test
public void testSchedulingNegativeResources() {
    int spoutParallelism = 2;
    int boltParallelism = 2;
    double cpuPercent = 10;
    double memoryOnHeap = 10;
    double memoryOffHeap = 10;
    double sharedOnHeapWithinWorker = 400;
    double sharedOffHeapWithinNode = 700;
    double sharedOffHeapWithinWorker = 500;
    Config conf = createClusterConfig(cpuPercent, memoryOnHeap, memoryOffHeap, null);
    TopologyDetails[] topo = new TopologyDetails[2];
    // 1st topology
    TopologyBuilder builder = new TopologyBuilder();
    builder.setSpout("spout", new TestSpout(), spoutParallelism);
    builder.setBolt("bolt-1", new TestBolt(), boltParallelism).addSharedMemory(new SharedOffHeapWithinWorker(sharedOffHeapWithinWorker, "bolt-1 shared off heap within worker")).shuffleGrouping("spout");
    builder.setBolt("bolt-2", new TestBolt(), boltParallelism).addSharedMemory(new SharedOffHeapWithinNode(sharedOffHeapWithinNode, "bolt-2 shared off heap within node")).shuffleGrouping("bolt-1");
    builder.setBolt("bolt-3", new TestBolt(), boltParallelism).addSharedMemory(new SharedOnHeap(sharedOnHeapWithinWorker, "bolt-3 shared on heap within worker")).shuffleGrouping("bolt-2");
    StormTopology stormToplogy = builder.createTopology();
    conf.put(Config.TOPOLOGY_PRIORITY, 1);
    conf.put(Config.TOPOLOGY_NAME, "testTopology-0");
    conf.put(Config.TOPOLOGY_WORKER_MAX_HEAP_SIZE_MB, 2000);
    topo[0] = new TopologyDetails("testTopology-id-0", conf, stormToplogy, 0, genExecsAndComps(stormToplogy), CURRENT_TIME, "user");
    // 2nd topology
    builder = new TopologyBuilder();
    builder.setSpout("spout", new TestSpout(), spoutParallelism).addSharedMemory(new SharedOffHeapWithinNode(sharedOffHeapWithinNode, "spout shared off heap within node"));
    stormToplogy = builder.createTopology();
    conf.put(Config.TOPOLOGY_PRIORITY, 0);
    conf.put(Config.TOPOLOGY_NAME, "testTopology-1");
    topo[1] = new TopologyDetails("testTopology-id-1", conf, stormToplogy, 0, genExecsAndComps(stormToplogy), CURRENT_TIME, "user");
    Map<String, SupervisorDetails> supMap = genSupervisors(1, 4, 500, 2000);
    Topologies topologies = new Topologies(topo[0]);
    Cluster cluster = new Cluster(new INimbusTest(), new ResourceMetrics(new StormMetricsRegistry()), supMap, new HashMap<>(), topologies, conf);
    // schedule 1st topology
    scheduler = new ResourceAwareScheduler();
    scheduler.prepare(conf, new StormMetricsRegistry());
    scheduler.schedule(topologies, cluster);
    assertTopologiesFullyScheduled(cluster, topo[0].getName());
    // attempt scheduling both topologies.
    // this triggered negative resource event as the second topology incorrectly scheduled with the first in place
    // first topology should get evicted for higher priority (lower value) second topology to successfully schedule
    topologies = new Topologies(topo[0], topo[1]);
    cluster = new Cluster(cluster, topologies);
    scheduler.schedule(topologies, cluster);
    assertTopologiesNotScheduled(cluster, topo[0].getName());
    assertTopologiesFullyScheduled(cluster, topo[1].getName());
    // check negative resource count
    assertThat(cluster.getResourceMetrics().getNegativeResourceEventsMeter().getCount(), is(0L));
}