Examples with StormMetricsRegistry org.apache.storm.metric.StormMetricsRegistry used on opensource projects

Example 26 with StormMetricsRegistry

use of org.apache.storm.metric.StormMetricsRegistry in project storm by apache.

the class TestNodeSorterHostProximity method testPreferRackWithTopoExecutors.

/**
 * Rack with low resources should be used to schedule an executor if it has other executors for the same topology.
 * <li>Schedule topo1 on one rack</li>
 * <li>unassign some executors</li>
 * <li>schedule another topology to partially fill up rack1</li>
 * <li>Add another rack and schedule topology 1 remaining executors again</li>
 * <li>scheduling should utilize all resources on rack1 before before trying next rack</li>
 */
@Test
public void testPreferRackWithTopoExecutors() {
    INimbus iNimbus = new INimbusTest();
    double compPcore = 100;
    double compOnHeap = 775;
    double compOffHeap = 25;
    int topo1NumSpouts = 1;
    int topo1NumBolts = 5;
    int topo1SpoutParallelism = 100;
    int topo1BoltParallelism = 200;
    int topo2NumSpouts = 1;
    int topo2NumBolts = 5;
    int topo2SpoutParallelism = 10;
    int topo2BoltParallelism = 20;
    final int numRacks = 3;
    final int numSupersPerRack = 10;
    final int numPortsPerSuper = 6;
    final int numZonesPerHost = 1;
    final double numaResourceMultiplier = 1.0;
    int rackStartNum = 0;
    int supStartNum = 0;
    long compPerRack = (topo1NumSpouts * topo1SpoutParallelism + topo1NumBolts * topo1BoltParallelism + // enough for topo1 but not topo1+topo2
    topo2NumSpouts * topo2SpoutParallelism);
    long compPerSuper = compPerRack / numSupersPerRack;
    double cpuPerSuper = compPcore * compPerSuper;
    double memPerSuper = (compOnHeap + compOffHeap) * compPerSuper;
    double topo1MaxHeapSize = memPerSuper;
    double topo2MaxHeapSize = memPerSuper;
    final String topoName1 = "topology1";
    final String topoName2 = "topology2";
    Map<String, SupervisorDetails> supMap = genSupervisorsWithRacksAndNuma(numRacks, numSupersPerRack, numZonesPerHost, numPortsPerSuper, rackStartNum, supStartNum, cpuPerSuper, memPerSuper, Collections.emptyMap(), numaResourceMultiplier);
    TestDNSToSwitchMapping testDNSToSwitchMapping = new TestDNSToSwitchMapping(supMap.values());
    Config config = new Config();
    config.putAll(createGrasClusterConfig(compPcore, compOnHeap, compOffHeap, null, null));
    config.put(Config.TOPOLOGY_SCHEDULER_STRATEGY, GenericResourceAwareStrategy.class.getName());
    IScheduler scheduler = new ResourceAwareScheduler();
    scheduler.prepare(config, new StormMetricsRegistry());
    TopologyDetails td1 = genTopology(topoName1, config, topo1NumSpouts, topo1NumBolts, topo1SpoutParallelism, topo1BoltParallelism, 0, 0, "user", topo1MaxHeapSize);
    // Schedule the topo1 topology and ensure it fits on 1 rack
    Topologies topologies = new Topologies(td1);
    Cluster cluster = new Cluster(iNimbus, new ResourceMetrics(new StormMetricsRegistry()), supMap, new HashMap<>(), topologies, config);
    cluster.setNetworkTopography(testDNSToSwitchMapping.getRackToHosts());
    scheduler.schedule(topologies, cluster);
    Set<String> assignedRacks = cluster.getAssignedRacks(td1.getId());
    assertEquals("Racks for topology=" + td1.getId() + " is " + assignedRacks, 1, assignedRacks.size());
    TopologyBuilder builder = topologyBuilder(topo2NumSpouts, topo2NumBolts, topo2SpoutParallelism, topo2BoltParallelism);
    TopologyDetails td2 = topoToTopologyDetails(topoName2, config, builder.createTopology(), 0, 0, "user", topo2MaxHeapSize);
    // Now schedule GPU but with the simple topology in place.
    topologies = new Topologies(td1, td2);
    cluster = new Cluster(cluster, topologies);
    scheduler.schedule(topologies, cluster);
    assignedRacks = cluster.getAssignedRacks(td1.getId(), td2.getId());
    assertEquals("Racks for topologies=" + td1.getId() + "/" + td2.getId() + " is " + assignedRacks, 2, assignedRacks.size());
    // topo2 gets scheduled on its own rack because it is empty and available
    assignedRacks = cluster.getAssignedRacks(td2.getId());
    assertEquals("Racks for topologies=" + td2.getId() + " is " + assignedRacks, 1, assignedRacks.size());
    // now unassign topo2, expect only one rack to be in use; free some slots and reschedule topo1 some topo1 executors
    cluster.unassign(td2.getId());
    assignedRacks = cluster.getAssignedRacks(td2.getId());
    assertEquals("After unassigning topology " + td2.getId() + ", racks for topology=" + td2.getId() + " is " + assignedRacks, 0, assignedRacks.size());
    assignedRacks = cluster.getAssignedRacks(td1.getId());
    assertEquals("After unassigning topology " + td2.getId() + ", racks for topology=" + td1.getId() + " is " + assignedRacks, 1, assignedRacks.size());
    assertFalse("Topology " + td1.getId() + " should be fully assigned before freeing slots", cluster.needsSchedulingRas(td1));
    freeSomeWorkerSlots(cluster);
    assertTrue("Topology " + td1.getId() + " should need scheduling after freeing slots", cluster.needsSchedulingRas(td1));
    // then reschedule executors
    scheduler.schedule(topologies, cluster);
    // only one rack should be in use by topology1
    assignedRacks = cluster.getAssignedRacks(td1.getId());
    assertEquals("After reassigning topology " + td2.getId() + ", racks for topology=" + td1.getId() + " is " + assignedRacks, 1, assignedRacks.size());
}

Example 27 with StormMetricsRegistry

use of org.apache.storm.metric.StormMetricsRegistry in project storm by apache.

the class TestNodeSorterHostProximity method testMultipleRacksWithFavoritism.

/**
 * Test whether strategy will choose correct rack.
 */
@Test
public void testMultipleRacksWithFavoritism() {
    final Map<String, SupervisorDetails> supMap = new HashMap<>();
    final int numRacks = 1;
    final int numSupersPerRack = 10;
    final int numPortsPerSuper = 4;
    final int numZonesPerHost = 2;
    int rackStartNum = 0;
    int supStartNum = 0;
    final Map<String, SupervisorDetails> supMapRack0 = genSupervisorsWithRacksAndNuma(numRacks, numSupersPerRack, numZonesPerHost, numPortsPerSuper, rackStartNum++, supStartNum, 400, 8000, Collections.emptyMap(), 1.0);
    // generate another rack of supervisors with less resources
    supStartNum += numSupersPerRack;
    final Map<String, SupervisorDetails> supMapRack1 = genSupervisorsWithRacksAndNuma(numRacks, numSupersPerRack, numZonesPerHost, numPortsPerSuper, rackStartNum++, supStartNum, 200, 4000, Collections.emptyMap(), 1.0);
    // generate some supervisors that are depleted of one resource
    supStartNum += numSupersPerRack;
    final Map<String, SupervisorDetails> supMapRack2 = genSupervisorsWithRacksAndNuma(numRacks, numSupersPerRack, numZonesPerHost, numPortsPerSuper, rackStartNum++, supStartNum, 0, 8000, Collections.emptyMap(), 1.0);
    // generate some that has a lot of memory but little of cpu
    supStartNum += numSupersPerRack;
    final Map<String, SupervisorDetails> supMapRack3 = genSupervisorsWithRacksAndNuma(numRacks, numSupersPerRack, numZonesPerHost, numPortsPerSuper, rackStartNum++, supStartNum, 10, 8000 * 2 + 4000, Collections.emptyMap(), 1.0);
    // generate some that has a lot of cpu but little of memory
    supStartNum += numSupersPerRack;
    final Map<String, SupervisorDetails> supMapRack4 = genSupervisorsWithRacksAndNuma(numRacks, numSupersPerRack, numZonesPerHost, numPortsPerSuper, rackStartNum++, supStartNum, 400 + 200 + 10, 1000, Collections.emptyMap(), 1.0);
    supMap.putAll(supMapRack0);
    supMap.putAll(supMapRack1);
    supMap.putAll(supMapRack2);
    supMap.putAll(supMapRack3);
    supMap.putAll(supMapRack4);
    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);
    Config t1Conf = new Config();
    t1Conf.putAll(config);
    final List<String> t1FavoredHostNames = Arrays.asList("host-41", "host-42", "host-43");
    t1Conf.put(Config.TOPOLOGY_SCHEDULER_FAVORED_NODES, t1FavoredHostNames);
    final List<String> t1UnfavoredHostIds = Arrays.asList("host-1", "host-2", "host-3");
    t1Conf.put(Config.TOPOLOGY_SCHEDULER_UNFAVORED_NODES, t1UnfavoredHostIds);
    // generate topologies
    TopologyDetails topo1 = genTopology("topo-1", t1Conf, 8, 0, 2, 0, CURRENT_TIME - 2, 10, "user");
    Config t2Conf = new Config();
    t2Conf.putAll(config);
    t2Conf.put(Config.TOPOLOGY_SCHEDULER_FAVORED_NODES, Arrays.asList("host-31", "host-32", "host-33"));
    t2Conf.put(Config.TOPOLOGY_SCHEDULER_UNFAVORED_NODES, Arrays.asList("host-11", "host-12", "host-13"));
    TopologyDetails topo2 = genTopology("topo-2", t2Conf, 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);
    List<String> supHostnames = new LinkedList<>();
    for (SupervisorDetails sup : supMap.values()) {
        supHostnames.add(sup.getHost());
    }
    Map<String, List<String>> rackToHosts = testDNSToSwitchMapping.getRackToHosts();
    cluster.setNetworkTopography(rackToHosts);
    NodeSorterHostProximity nodeSorter = new NodeSorterHostProximity(cluster, topo1, BaseResourceAwareStrategy.NodeSortType.DEFAULT_RAS);
    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"));
    Iterator<ObjectResourcesItem> it = sortedRacks.iterator();
    // Ranked first since rack-000 has the most balanced set of resources
    Assert.assertEquals("rack-000 should be ordered first", "rack-000", it.next().id);
    // Ranked second since rack-1 has a balanced set of resources but less than rack-0
    Assert.assertEquals("rack-001 should be ordered second", "rack-001", it.next().id);
    // Ranked third since rack-4 has a lot of cpu but not a lot of memory
    Assert.assertEquals("rack-004 should be ordered third", "rack-004", it.next().id);
    // Ranked fourth since rack-3 has alot of memory but not cpu
    Assert.assertEquals("rack-003 should be ordered fourth", "rack-003", it.next().id);
    // Ranked last since rack-2 has not cpu resources
    Assert.assertEquals("rack-00s2 should be ordered fifth", "rack-002", it.next().id);
}

Example 28 with StormMetricsRegistry

use of org.apache.storm.metric.StormMetricsRegistry 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 29 with StormMetricsRegistry

use of org.apache.storm.metric.StormMetricsRegistry 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 30 with StormMetricsRegistry

use of org.apache.storm.metric.StormMetricsRegistry 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);
}