Examples with SharedOnHeap org.apache.storm.topology.SharedOnHeap used on opensource projects

Example 1 with SharedOnHeap

use of org.apache.storm.topology.SharedOnHeap 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 2 with SharedOnHeap

use of org.apache.storm.topology.SharedOnHeap 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));
}

Example 3 with SharedOnHeap

use of org.apache.storm.topology.SharedOnHeap 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 4 with SharedOnHeap

use of org.apache.storm.topology.SharedOnHeap 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 5 with SharedOnHeap

use of org.apache.storm.topology.SharedOnHeap in project storm by apache.

the class ResourceAwareExampleTopology method main.

public static void main(String[] args) throws Exception {
    TopologyBuilder builder = new TopologyBuilder();
    // A topology can set resources in terms of CPU and Memory for each component
    // These can be chained (like with setting the CPU requirement)
    SpoutDeclarer spout = builder.setSpout("word", new TestWordSpout(), 10).setCPULoad(20);
    // Or done separately like with setting the
    // onheap and offheap memory requirement
    spout.setMemoryLoad(64, 16);
    // On heap memory is used to help calculate the heap of the java process for the worker
    // off heap memory is for things like JNI memory allocated off heap, or when using the
    // ShellBolt or ShellSpout.  In this case the 16 MB of off heap is just as an example
    // as we are not using it.
    // Some times a Bolt or Spout will have some memory that is shared between the instances
    // These are typically caches, but could be anything like a static database that is memory
    // mapped into the processes. These can be declared separately and added to the bolts and
    // spouts that use them.  Or if only one uses it they can be created inline with the add
    SharedOnHeap exclaimCache = new SharedOnHeap(100, "exclaim-cache");
    SharedOffHeapWithinNode notImplementedButJustAnExample = new SharedOffHeapWithinNode(500, "not-implemented-node-level-cache");
    // If CPU or memory is not set the values stored in topology.component.resources.onheap.memory.mb,
    // topology.component.resources.offheap.memory.mb and topology.component.cpu.pcore.percent
    // will be used instead
    builder.setBolt("exclaim1", new ExclamationBolt(), 3).shuffleGrouping("word").addSharedMemory(exclaimCache);
    builder.setBolt("exclaim2", new ExclamationBolt(), 2).shuffleGrouping("exclaim1").setMemoryLoad(100).addSharedMemory(exclaimCache).addSharedMemory(notImplementedButJustAnExample);
    Config conf = new Config();
    conf.setDebug(true);
    // Under RAS the number of workers is determined by the scheduler and the settings in the conf are ignored
    // conf.setNumWorkers(3);
    // Instead the scheduler lets you set the maximum heap size for any worker.
    conf.setTopologyWorkerMaxHeapSize(1024.0);
    // The scheduler generally will try to pack executors into workers until the max heap size is met, but
    // this can vary depending on the specific scheduling strategy selected.
    // The reason for this is to try and balance the maximum pause time GC might take (which is larger for larger heaps)
    // against better performance because of not needing to serialize/deserialize tuples.
    // The priority of a topology describes the importance of the topology in decreasing importance
    // starting from 0 (i.e. 0 is the highest priority and the priority importance decreases as the priority number increases).
    // Recommended range of 0-29 but no hard limit set.
    // If there are not enough resources in a cluster the priority in combination with how far over a guarantees
    // a user is will decide which topologies are run and which ones are not.
    conf.setTopologyPriority(29);
    // set to use the default resource aware strategy when using the MultitenantResourceAwareBridgeScheduler
    conf.setTopologyStrategy("org.apache.storm.scheduler.resource.strategies.scheduling.DefaultResourceAwareStrategy");
    String topoName = "test";
    if (args != null && args.length > 0) {
        topoName = args[0];
    }
    StormSubmitter.submitTopologyWithProgressBar(topoName, conf, builder.createTopology());
}