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

Example 31 with Cluster

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

the class TestDefaultResourceAwareStrategy method testDefaultResourceAwareStrategySharedMemory.

/**
 * test if the scheduling shared memory is correct with/without oneExecutorPerWorker enabled
 */
@ParameterizedTest
@EnumSource(WorkerRestrictionType.class)
public void testDefaultResourceAwareStrategySharedMemory(WorkerRestrictionType schedulingLimitation) {
    int spoutParallelism = 2;
    int boltParallelism = 2;
    int numBolts = 3;
    double cpuPercent = 10;
    double memoryOnHeap = 10;
    double memoryOffHeap = 10;
    double sharedOnHeapWithinWorker = 400;
    double sharedOffHeapWithinNode = 700;
    double sharedOffHeapWithinWorker = 600;
    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();
    INimbus iNimbus = new INimbusTest();
    Map<String, SupervisorDetails> supMap = genSupervisors(4, 4, 500, 2000);
    Config conf = createClusterConfig(cpuPercent, memoryOnHeap, memoryOffHeap, null);
    conf.put(Config.TOPOLOGY_PRIORITY, 0);
    conf.put(Config.TOPOLOGY_NAME, "testTopology");
    conf.put(Config.TOPOLOGY_WORKER_MAX_HEAP_SIZE_MB, 2000);
    switch(schedulingLimitation) {
        case WORKER_RESTRICTION_ONE_EXECUTOR:
            conf.put(Config.TOPOLOGY_RAS_ONE_EXECUTOR_PER_WORKER, true);
            break;
        case WORKER_RESTRICTION_ONE_COMPONENT:
            conf.put(Config.TOPOLOGY_RAS_ONE_COMPONENT_PER_WORKER, true);
            break;
    }
    TopologyDetails topo = new TopologyDetails("testTopology-id", conf, stormToplogy, 0, genExecsAndComps(stormToplogy), CURRENT_TIME, "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());
    }
    int totalNumberOfTasks = spoutParallelism + boltParallelism * numBolts;
    SchedulerAssignment assignment = cluster.getAssignmentById(topo.getId());
    TopologyResources topologyResources = cluster.getTopologyResourcesMap().get(topo.getId());
    long numNodes = assignment.getSlotToExecutors().keySet().stream().map(WorkerSlot::getNodeId).distinct().count();
    String assignmentString = "Assignments:\n\t" + assignment.getSlotToExecutors().entrySet().stream().map(x -> String.format("Node=%s, components=%s", x.getKey().getNodeId(), x.getValue().stream().map(y -> topo.getComponentFromExecutor(y)).collect(Collectors.joining(",")))).collect(Collectors.joining("\n\t"));
    if (schedulingLimitation == WorkerRestrictionType.WORKER_RESTRICTION_NONE) {
        // Everything should fit in a single slot
        double totalExpectedCPU = totalNumberOfTasks * cpuPercent;
        double totalExpectedOnHeap = (totalNumberOfTasks * memoryOnHeap) + sharedOnHeapWithinWorker;
        double totalExpectedWorkerOffHeap = (totalNumberOfTasks * memoryOffHeap) + sharedOffHeapWithinWorker;
        assertThat(assignment.getSlots().size(), is(1));
        WorkerSlot ws = assignment.getSlots().iterator().next();
        String nodeId = ws.getNodeId();
        assertThat(assignment.getNodeIdToTotalSharedOffHeapNodeMemory().size(), is(1));
        assertThat(assignment.getNodeIdToTotalSharedOffHeapNodeMemory().get(nodeId), closeTo(sharedOffHeapWithinNode, 0.01));
        assertThat(assignment.getScheduledResources().size(), is(1));
        WorkerResources resources = assignment.getScheduledResources().get(ws);
        assertThat(resources.get_cpu(), closeTo(totalExpectedCPU, 0.01));
        assertThat(resources.get_mem_on_heap(), closeTo(totalExpectedOnHeap, 0.01));
        assertThat(resources.get_mem_off_heap(), closeTo(totalExpectedWorkerOffHeap, 0.01));
        assertThat(resources.get_shared_mem_on_heap(), closeTo(sharedOnHeapWithinWorker, 0.01));
        assertThat(resources.get_shared_mem_off_heap(), closeTo(sharedOffHeapWithinWorker, 0.01));
    } else if (schedulingLimitation == WorkerRestrictionType.WORKER_RESTRICTION_ONE_EXECUTOR) {
        double expectedMemOnHeap = (totalNumberOfTasks * memoryOnHeap) + 2 * sharedOnHeapWithinWorker;
        double expectedMemOffHeap = (totalNumberOfTasks * memoryOffHeap) + 2 * sharedOffHeapWithinWorker + 2 * sharedOffHeapWithinNode;
        double expectedMemSharedOnHeap = 2 * sharedOnHeapWithinWorker;
        double expectedMemSharedOffHeap = 2 * sharedOffHeapWithinWorker + 2 * sharedOffHeapWithinNode;
        double expectedMemNonSharedOnHeap = totalNumberOfTasks * memoryOnHeap;
        double expectedMemNonSharedOffHeap = totalNumberOfTasks * memoryOffHeap;
        assertThat(topologyResources.getAssignedMemOnHeap(), closeTo(expectedMemOnHeap, 0.01));
        assertThat(topologyResources.getAssignedMemOffHeap(), closeTo(expectedMemOffHeap, 0.01));
        assertThat(topologyResources.getAssignedSharedMemOnHeap(), closeTo(expectedMemSharedOnHeap, 0.01));
        assertThat(topologyResources.getAssignedSharedMemOffHeap(), closeTo(expectedMemSharedOffHeap, 0.01));
        assertThat(topologyResources.getAssignedNonSharedMemOnHeap(), closeTo(expectedMemNonSharedOnHeap, 0.01));
        assertThat(topologyResources.getAssignedNonSharedMemOffHeap(), closeTo(expectedMemNonSharedOffHeap, 0.01));
        double totalExpectedCPU = totalNumberOfTasks * cpuPercent;
        assertThat(topologyResources.getAssignedCpu(), closeTo(totalExpectedCPU, 0.01));
        int numAssignedWorkers = cluster.getAssignedNumWorkers(topo);
        assertThat(numAssignedWorkers, is(8));
        assertThat(assignment.getSlots().size(), is(8));
        assertThat(assignmentString, numNodes, is(2L));
    } else if (schedulingLimitation == WorkerRestrictionType.WORKER_RESTRICTION_ONE_COMPONENT) {
        double expectedMemOnHeap = (totalNumberOfTasks * memoryOnHeap) + sharedOnHeapWithinWorker;
        double expectedMemOffHeap = (totalNumberOfTasks * memoryOffHeap) + sharedOffHeapWithinWorker + sharedOffHeapWithinNode;
        double expectedMemSharedOnHeap = sharedOnHeapWithinWorker;
        double expectedMemSharedOffHeap = sharedOffHeapWithinWorker + sharedOffHeapWithinNode;
        double expectedMemNonSharedOnHeap = totalNumberOfTasks * memoryOnHeap;
        double expectedMemNonSharedOffHeap = totalNumberOfTasks * memoryOffHeap;
        assertThat(topologyResources.getAssignedMemOnHeap(), closeTo(expectedMemOnHeap, 0.01));
        assertThat(topologyResources.getAssignedMemOffHeap(), closeTo(expectedMemOffHeap, 0.01));
        assertThat(topologyResources.getAssignedSharedMemOnHeap(), closeTo(expectedMemSharedOnHeap, 0.01));
        assertThat(topologyResources.getAssignedSharedMemOffHeap(), closeTo(expectedMemSharedOffHeap, 0.01));
        assertThat(topologyResources.getAssignedNonSharedMemOnHeap(), closeTo(expectedMemNonSharedOnHeap, 0.01));
        assertThat(topologyResources.getAssignedNonSharedMemOffHeap(), closeTo(expectedMemNonSharedOffHeap, 0.01));
        double totalExpectedCPU = totalNumberOfTasks * cpuPercent;
        assertThat(topologyResources.getAssignedCpu(), closeTo(totalExpectedCPU, 0.01));
        int numAssignedWorkers = cluster.getAssignedNumWorkers(topo);
        assertThat(numAssignedWorkers, is(4));
        assertThat(assignment.getSlots().size(), is(4));
        assertThat(numNodes, is(1L));
    }
}

Example 32 with Cluster

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

the class TestDefaultResourceAwareStrategy method testDefaultResourceAwareStrategyWithoutSettingAckerExecutors.

/**
 * test if the scheduling logic for the DefaultResourceAwareStrategy is correct
 * when topology.acker.executors.per.worker is set to different values.
 *
 * If {@link Config#TOPOLOGY_ACKER_EXECUTORS} is not set,
 * it will be calculated by Nimbus as (num of estimated worker * topology.acker.executors.per.worker).
 * In this test, {@link Config#TOPOLOGY_ACKER_EXECUTORS} is set to 2 (num of estimated workers based on topo resources usage)
 *
 * For different value for {@link Config#TOPOLOGY_RAS_ACKER_EXECUTORS_PER_WORKER}:
 * -1: Note we don't really set it to be -1.
 *     It is just a special case in this test that topology.acker.executors.per.worker is unset, nimbus will set to 1 by default.
 * 0:  Since {@link Config#TOPOLOGY_ACKER_EXECUTORS} is not set either, acking is disabled.
 * 1:  2 ackers in total. Distribute 1 acker per worker. With ackers being added, this topology will now need 3 workers.
 *     Then first two worker will get 1 acker and last worker get 0.
 * 2:  4 ackers in total. First two workers will get 2 acker per worker respectively.
 */
@ParameterizedTest
@ValueSource(ints = { -1, 0, 1, 2 })
public void testDefaultResourceAwareStrategyWithoutSettingAckerExecutors(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");
    builder.setBolt("bolt-3", new TestBolt(), boltParallelism).shuffleGrouping("bolt-2");
    String topoName = "testTopology";
    StormTopology stormToplogy = builder.createTopology();
    INimbus iNimbus = new INimbusTest();
    Map<String, SupervisorDetails> supMap = genSupervisors(4, 4, 200, 2000);
    Config conf = createClusterConfig(50, 450, 0, null);
    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");
    // Parameterized test on different numOfAckersPerWorker
    if (numOfAckersPerWorker == -1) {
    // Both Config.TOPOLOGY_ACKER_EXECUTORS and Config.TOPOLOGY_RAS_ACKER_EXECUTORS_PER_WORKER are not set
    // Default will be 2 (estimate num of workers) and 1 respectively
    } 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)), CURRENT_TIME, "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);
    // Ordered execs: [[6, 6], [2, 2], [4, 4], [5, 5], [1, 1], [3, 3], [0, 0], [8, 8], [7, 7]]
    // Ackers: [[8, 8], [7, 7]] (+ [[9, 9], [10, 10]] when numOfAckersPerWorker=2)
    HashSet<HashSet<ExecutorDetails>> expectedScheduling = new HashSet<>();
    if (numOfAckersPerWorker == -1 || numOfAckersPerWorker == 1) {
        // Setting topology.acker.executors = null and topology.acker.executors.per.worker = null
        // are equivalent to topology.acker.executors = null and topology.acker.executors.per.worker = 1
        expectedScheduling.add(new HashSet<>(Arrays.asList(// bolt-3
        new ExecutorDetails(6, 6), // bolt-1
        new ExecutorDetails(2, 2), // bolt-2
        new ExecutorDetails(4, 4), // acker
        new ExecutorDetails(8, 8))));
        expectedScheduling.add(new HashSet<>(Arrays.asList(// bolt-3
        new ExecutorDetails(5, 5), // bolt-1
        new ExecutorDetails(1, 1), // bolt-2
        new ExecutorDetails(3, 3), // acker
        new ExecutorDetails(7, 7))));
        expectedScheduling.add(new HashSet<>(Arrays.asList(// spout
        new ExecutorDetails(0, 0))));
    } else if (numOfAckersPerWorker == 0) {
        expectedScheduling.add(new HashSet<>(Arrays.asList(// bolt-3
        new ExecutorDetails(6, 6), // bolt-1
        new ExecutorDetails(2, 2), // bolt-2
        new ExecutorDetails(4, 4), // bolt-3
        new ExecutorDetails(5, 5))));
        expectedScheduling.add(new HashSet<>(Arrays.asList(// spout
        new ExecutorDetails(0, 0), // bolt-2
        new ExecutorDetails(3, 3), // bolt-1
        new ExecutorDetails(1, 1))));
    } else if (numOfAckersPerWorker == 2) {
        expectedScheduling.add(new HashSet<>(Arrays.asList(// bolt-3
        new ExecutorDetails(6, 6), // bolt-1
        new ExecutorDetails(2, 2), // acker
        new ExecutorDetails(7, 7), // acker
        new ExecutorDetails(8, 8))));
        expectedScheduling.add(new HashSet<>(Arrays.asList(// bolt-2
        new ExecutorDetails(4, 4), // bolt-3
        new ExecutorDetails(5, 5), // acker
        new ExecutorDetails(9, 9), // acker
        new ExecutorDetails(10, 10))));
        expectedScheduling.add(new HashSet<>(Arrays.asList(// bolt-1
        new ExecutorDetails(1, 1), // bolt-2
        new ExecutorDetails(3, 3), // spout
        new ExecutorDetails(0, 0))));
    }
    HashSet<HashSet<ExecutorDetails>> foundScheduling = new HashSet<>();
    SchedulerAssignment assignment = cluster.getAssignmentById("testTopology-id");
    for (Collection<ExecutorDetails> execs : assignment.getSlotToExecutors().values()) {
        foundScheduling.add(new HashSet<>(execs));
    }
    Assert.assertEquals(expectedScheduling, foundScheduling);
}

Example 33 with Cluster

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

the class TestDefaultResourceAwareStrategy method testMultipleSharedMemoryWithOneExecutorPerWorker.

/*
     * test assigned memory with shared memory types and oneWorkerPerExecutor
     */
@ParameterizedTest
@EnumSource(SharedMemoryType.class)
public void testMultipleSharedMemoryWithOneExecutorPerWorker(SharedMemoryType memoryType) {
    int spoutParallelism = 4;
    double cpuPercent = 10;
    double memoryOnHeap = 10;
    double memoryOffHeap = 10;
    double sharedOnHeapWithinWorker = 450;
    double sharedOffHeapWithinNode = 600;
    double sharedOffHeapWithinWorker = 400;
    TopologyBuilder builder = new TopologyBuilder();
    switch(memoryType) {
        case SHARED_OFF_HEAP_NODE:
            builder.setSpout("spout", new TestSpout(), spoutParallelism).addSharedMemory(new SharedOffHeapWithinNode(sharedOffHeapWithinNode, "spout shared off heap within node"));
            break;
        case SHARED_OFF_HEAP_WORKER:
            builder.setSpout("spout", new TestSpout(), spoutParallelism).addSharedMemory(new SharedOffHeapWithinWorker(sharedOffHeapWithinWorker, "spout shared off heap within worker"));
            break;
        case SHARED_ON_HEAP_WORKER:
            builder.setSpout("spout", new TestSpout(), spoutParallelism).addSharedMemory(new SharedOnHeap(sharedOnHeapWithinWorker, "spout shared on heap within worker"));
            break;
    }
    StormTopology stormToplogy = builder.createTopology();
    INimbus iNimbus = new INimbusTest();
    Map<String, SupervisorDetails> supMap = genSupervisors(4, 4, 500, 1000);
    Config conf = createClusterConfig(cpuPercent, memoryOnHeap, memoryOffHeap, null);
    conf.put(Config.TOPOLOGY_PRIORITY, 0);
    conf.put(Config.TOPOLOGY_NAME, "testTopology");
    conf.put(Config.TOPOLOGY_WORKER_MAX_HEAP_SIZE_MB, 2000);
    conf.put(Config.TOPOLOGY_RAS_ONE_EXECUTOR_PER_WORKER, true);
    TopologyDetails topo = new TopologyDetails("testTopology-id", conf, stormToplogy, 0, genExecsAndComps(stormToplogy), CURRENT_TIME, "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);
    TopologyResources topologyResources = cluster.getTopologyResourcesMap().get(topo.getId());
    SchedulerAssignment assignment = cluster.getAssignmentById(topo.getId());
    long numNodes = assignment.getSlotToExecutors().keySet().stream().map(ws -> ws.getNodeId()).distinct().count();
    switch(memoryType) {
        case SHARED_OFF_HEAP_NODE:
            // 4 workers on single node. OffHeapNode memory is shared
            assertThat(topologyResources.getAssignedMemOnHeap(), closeTo(spoutParallelism * memoryOnHeap, 0.01));
            assertThat(topologyResources.getAssignedMemOffHeap(), closeTo(spoutParallelism * memoryOffHeap + sharedOffHeapWithinNode, 0.01));
            assertThat(topologyResources.getAssignedSharedMemOnHeap(), closeTo(0, 0.01));
            assertThat(topologyResources.getAssignedSharedMemOffHeap(), closeTo(sharedOffHeapWithinNode, 0.01));
            assertThat(topologyResources.getAssignedNonSharedMemOnHeap(), closeTo(spoutParallelism * memoryOnHeap, 0.01));
            assertThat(topologyResources.getAssignedNonSharedMemOffHeap(), closeTo(spoutParallelism * memoryOffHeap, 0.01));
            assertThat(numNodes, is(1L));
            assertThat(cluster.getAssignedNumWorkers(topo), is(spoutParallelism));
            break;
        case SHARED_OFF_HEAP_WORKER:
            // 4 workers on 2 nodes. OffHeapWorker memory not shared -- consumed 4x, once for each worker)
            assertThat(topologyResources.getAssignedMemOnHeap(), closeTo(spoutParallelism * memoryOnHeap, 0.01));
            assertThat(topologyResources.getAssignedMemOffHeap(), closeTo(spoutParallelism * (memoryOffHeap + sharedOffHeapWithinWorker), 0.01));
            assertThat(topologyResources.getAssignedSharedMemOnHeap(), closeTo(0, 0.01));
            assertThat(topologyResources.getAssignedSharedMemOffHeap(), closeTo(spoutParallelism * sharedOffHeapWithinWorker, 0.01));
            assertThat(topologyResources.getAssignedNonSharedMemOnHeap(), closeTo(spoutParallelism * memoryOnHeap, 0.01));
            assertThat(topologyResources.getAssignedNonSharedMemOffHeap(), closeTo(spoutParallelism * memoryOffHeap, 0.01));
            assertThat(numNodes, is(2L));
            assertThat(cluster.getAssignedNumWorkers(topo), is(spoutParallelism));
            break;
        case SHARED_ON_HEAP_WORKER:
            // 4 workers on 2 nodes. onHeap memory not shared -- consumed 4x, once for each worker
            assertThat(topologyResources.getAssignedMemOnHeap(), closeTo(spoutParallelism * (memoryOnHeap + sharedOnHeapWithinWorker), 0.01));
            assertThat(topologyResources.getAssignedMemOffHeap(), closeTo(spoutParallelism * memoryOffHeap, 0.01));
            assertThat(topologyResources.getAssignedSharedMemOnHeap(), closeTo(spoutParallelism * sharedOnHeapWithinWorker, 0.01));
            assertThat(topologyResources.getAssignedSharedMemOffHeap(), closeTo(0, 0.01));
            assertThat(topologyResources.getAssignedNonSharedMemOnHeap(), closeTo(spoutParallelism * memoryOnHeap, 0.01));
            assertThat(topologyResources.getAssignedNonSharedMemOffHeap(), closeTo(spoutParallelism * memoryOffHeap, 0.01));
            assertThat(numNodes, is(2L));
            assertThat(cluster.getAssignedNumWorkers(topo), is(spoutParallelism));
            break;
    }
}

Example 34 with Cluster

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

the class TestDefaultResourceAwareStrategy method testDefaultResourceAwareStrategyInFavorOfShuffle.

/**
 * test if the scheduling logic for the DefaultResourceAwareStrategy (when made by network proximity needs.) is correct
 */
@Test
public void testDefaultResourceAwareStrategyInFavorOfShuffle() 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");
    builder.setBolt("bolt-3", new TestBolt(), boltParallelism).shuffleGrouping("bolt-2");
    StormTopology stormToplogy = builder.createTopology();
    INimbus iNimbus = new INimbusTest();
    Map<String, SupervisorDetails> supMap = genSupervisors(4, 4, 200, 2000);
    Config conf = createClusterConfig(50, 250, 250, null);
    conf.put(Config.TOPOLOGY_PRIORITY, 0);
    conf.put(Config.TOPOLOGY_NAME, "testTopology");
    conf.put(Config.TOPOLOGY_WORKER_MAX_HEAP_SIZE_MB, Double.MAX_VALUE);
    conf.put(Config.TOPOLOGY_SUBMITTER_USER, "user");
    conf.put(Config.TOPOLOGY_RAS_ORDER_EXECUTORS_BY_PROXIMITY_NEEDS, true);
    TopologyDetails topo = new TopologyDetails("testTopology-id", conf, stormToplogy, 0, genExecsAndComps(StormCommon.systemTopology(conf, stormToplogy)), CURRENT_TIME, "user");
    Topologies topologies = new Topologies(topo);
    Cluster cluster = new Cluster(iNimbus, new ResourceMetrics(new StormMetricsRegistry()), supMap, new HashMap<>(), topologies, conf);
    ResourceAwareScheduler rs = new ResourceAwareScheduler();
    rs.prepare(conf, new StormMetricsRegistry());
    rs.schedule(topologies, cluster);
    // Sorted execs: [[0, 0], [2, 2], [6, 6], [4, 4], [1, 1], [5, 5], [3, 3], [7, 7]]
    // Ackers: [[7, 7]]]
    HashSet<HashSet<ExecutorDetails>> expectedScheduling = new HashSet<>();
    expectedScheduling.add(new HashSet<>(Arrays.asList(// spout
    new ExecutorDetails(0, 0), // bolt-2
    new ExecutorDetails(6, 6), // bolt-1
    new ExecutorDetails(2, 2), // acker
    new ExecutorDetails(7, 7))));
    expectedScheduling.add(new HashSet<>(Arrays.asList(// bolt-3
    new ExecutorDetails(3, 3), // bolt-2
    new ExecutorDetails(5, 5), // bolt-3
    new ExecutorDetails(4, 4), // bolt-1
    new ExecutorDetails(1, 1))));
    HashSet<HashSet<ExecutorDetails>> foundScheduling = new HashSet<>();
    SchedulerAssignment assignment = cluster.getAssignmentById("testTopology-id");
    for (Collection<ExecutorDetails> execs : assignment.getSlotToExecutors().values()) {
        foundScheduling.add(new HashSet<>(execs));
    }
    Assert.assertEquals(expectedScheduling, foundScheduling);
}

Example 35 with Cluster

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

the class TestResourceAwareScheduler method testTopologyWorkerMaxHeapSize.

@Test
public void testTopologyWorkerMaxHeapSize() {
    // Test1: If RAS spreads executors across multiple workers based on the set limit for a worker used by the topology
    INimbus iNimbus = new INimbusTest();
    Map<String, SupervisorDetails> supMap = genSupervisors(2, 2, 400, 2000);
    TopologyBuilder builder1 = new TopologyBuilder();
    builder1.setSpout("wordSpout1", new TestWordSpout(), 4);
    StormTopology stormTopology1 = builder1.createTopology();
    Config config1 = new Config();
    config1.putAll(defaultTopologyConf);
    config1.put(Config.TOPOLOGY_WORKER_MAX_HEAP_SIZE_MB, 128.0);
    Map<ExecutorDetails, String> executorMap1 = genExecsAndComps(stormTopology1);
    TopologyDetails topology1 = new TopologyDetails("topology1", config1, stormTopology1, 1, executorMap1, 0, "user");
    ResourceAwareScheduler rs = new ResourceAwareScheduler();
    Topologies topologies = new Topologies(topology1);
    Cluster cluster = new Cluster(iNimbus, new ResourceMetrics(new StormMetricsRegistry()), supMap, new HashMap<>(), topologies, config1);
    rs.prepare(config1, new StormMetricsRegistry());
    try {
        rs.schedule(topologies, cluster);
        assertFalse(cluster.needsSchedulingRas(topology1));
        assertTrue(cluster.getStatusMap().get(topology1.getId()).startsWith("Running - Fully Scheduled by DefaultResourceAwareStrategy"));
        assertEquals(4, cluster.getAssignedNumWorkers(topology1));
    } finally {
        rs.cleanup();
    }
    // Test2: test when no more workers are available due to topology worker max heap size limit but there is memory is still available
    // wordSpout2 is going to contain 5 executors that needs scheduling. Each of those executors has a memory requirement of 128.0 MB
    // The cluster contains 4 free WorkerSlots. For this topolology each worker is limited to a max heap size of 128.0
    // Thus, one executor not going to be able to get scheduled thus failing the scheduling of this topology and no executors of this
    // topology will be scheduled
    TopologyBuilder builder2 = new TopologyBuilder();
    builder2.setSpout("wordSpout2", new TestWordSpout(), 5);
    StormTopology stormTopology2 = builder2.createTopology();
    Config config2 = new Config();
    config2.putAll(defaultTopologyConf);
    config2.put(Config.TOPOLOGY_WORKER_MAX_HEAP_SIZE_MB, 128.0);
    Map<ExecutorDetails, String> executorMap2 = genExecsAndComps(stormTopology2);
    TopologyDetails topology2 = new TopologyDetails("topology2", config2, stormTopology2, 1, executorMap2, 0, "user");
    topologies = new Topologies(topology2);
    cluster = new Cluster(iNimbus, new ResourceMetrics(new StormMetricsRegistry()), supMap, new HashMap<>(), topologies, config2);
    rs.prepare(config2, new StormMetricsRegistry());
    try {
        rs.schedule(topologies, cluster);
        assertTrue(cluster.needsSchedulingRas(topology2));
        String status = cluster.getStatusMap().get(topology2.getId());
        assert status.startsWith("Not enough resources to schedule") : status;
        // assert status.endsWith("5 executors not scheduled") : status;
        assertEquals(5, cluster.getUnassignedExecutors(topology2).size());
    } finally {
        rs.cleanup();
    }
}