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Example 11 with JobRun

use of org.apache.hyracks.control.cc.job.JobRun in project asterixdb by apache.

the class FIFOJobQueue method pull.

@Override
public List<JobRun> pull() {
    List<JobRun> jobRuns = new ArrayList<>();
    Iterator<JobRun> runIterator = jobListMap.values().iterator();
    while (runIterator.hasNext()) {
        JobRun run = runIterator.next();
        JobSpecification job = run.getJobSpecification();
        // or not.
        try {
            IJobCapacityController.JobSubmissionStatus status = jobCapacityController.allocate(job);
            // Checks if the job can be executed immediately.
            if (status == IJobCapacityController.JobSubmissionStatus.EXECUTE) {
                jobRuns.add(run);
                // Removes the selected job.
                runIterator.remove();
            }
        } catch (HyracksException exception) {
            // The required capacity exceeds maximum capacity.
            List<Exception> exceptions = new ArrayList<>();
            exceptions.add(exception);
            // Removes the job from the queue.
            runIterator.remove();
            try {
                // Fails the job.
                jobManager.prepareComplete(run, JobStatus.FAILURE_BEFORE_EXECUTION, exceptions);
            } catch (HyracksException e) {
                LOGGER.log(Level.SEVERE, e.getMessage(), e);
            }
        }
    }
    return jobRuns;
}
Also used : IJobCapacityController(org.apache.hyracks.api.job.resource.IJobCapacityController) ArrayList(java.util.ArrayList) HyracksException(org.apache.hyracks.api.exceptions.HyracksException) ArrayList(java.util.ArrayList) List(java.util.List) JobSpecification(org.apache.hyracks.api.job.JobSpecification) JobRun(org.apache.hyracks.control.cc.job.JobRun)

Example 12 with JobRun

use of org.apache.hyracks.control.cc.job.JobRun in project asterixdb by apache.

the class ActivityClusterPlanner method buildConnectorPolicyAwareTaskClusters.

private TaskCluster[] buildConnectorPolicyAwareTaskClusters(ActivityCluster ac, Map<ActivityId, ActivityPlan> activityPlanMap, Map<TaskId, List<Pair<TaskId, ConnectorDescriptorId>>> taskConnectivity) {
    Map<TaskId, Set<TaskId>> taskClusterMap = new HashMap<>();
    for (ActivityId anId : ac.getActivityMap().keySet()) {
        ActivityPlan ap = activityPlanMap.get(anId);
        Task[] tasks = ap.getTasks();
        for (Task t : tasks) {
            Set<TaskId> cluster = new HashSet<>();
            TaskId tid = t.getTaskId();
            cluster.add(tid);
            taskClusterMap.put(tid, cluster);
        }
    }
    JobRun jobRun = executor.getJobRun();
    Map<ConnectorDescriptorId, IConnectorPolicy> connectorPolicies = jobRun.getConnectorPolicyMap();
    for (Map.Entry<TaskId, List<Pair<TaskId, ConnectorDescriptorId>>> e : taskConnectivity.entrySet()) {
        Set<TaskId> cluster = taskClusterMap.get(e.getKey());
        for (Pair<TaskId, ConnectorDescriptorId> p : e.getValue()) {
            IConnectorPolicy cPolicy = connectorPolicies.get(p.getRight());
            if (cPolicy.requiresProducerConsumerCoscheduling()) {
                cluster.add(p.getLeft());
            }
        }
    }
    /*
         * We compute the transitive closure of this (producer-consumer) relation to find the largest set of
         * tasks that need to be co-scheduled.
         */
    int counter = 0;
    TaskId[] ordinalList = new TaskId[taskClusterMap.size()];
    Map<TaskId, Integer> ordinalMap = new HashMap<>();
    for (TaskId tid : taskClusterMap.keySet()) {
        ordinalList[counter] = tid;
        ordinalMap.put(tid, counter);
        ++counter;
    }
    int n = ordinalList.length;
    BitSet[] paths = new BitSet[n];
    for (Map.Entry<TaskId, Set<TaskId>> e : taskClusterMap.entrySet()) {
        int i = ordinalMap.get(e.getKey());
        BitSet bsi = paths[i];
        if (bsi == null) {
            bsi = new BitSet(n);
            paths[i] = bsi;
        }
        for (TaskId ttid : e.getValue()) {
            int j = ordinalMap.get(ttid);
            paths[i].set(j);
            BitSet bsj = paths[j];
            if (bsj == null) {
                bsj = new BitSet(n);
                paths[j] = bsj;
            }
            bsj.set(i);
        }
    }
    for (int k = 0; k < n; ++k) {
        for (int i = paths[k].nextSetBit(0); i >= 0; i = paths[k].nextSetBit(i + 1)) {
            for (int j = paths[i].nextClearBit(0); j < n && j >= 0; j = paths[i].nextClearBit(j + 1)) {
                paths[i].set(j, paths[k].get(j));
                paths[j].set(i, paths[i].get(j));
            }
        }
    }
    BitSet pending = new BitSet(n);
    pending.set(0, n);
    List<List<TaskId>> clusters = new ArrayList<>();
    for (int i = pending.nextSetBit(0); i >= 0; i = pending.nextSetBit(i)) {
        List<TaskId> cluster = new ArrayList<>();
        for (int j = paths[i].nextSetBit(0); j >= 0; j = paths[i].nextSetBit(j + 1)) {
            cluster.add(ordinalList[j]);
            pending.clear(j);
        }
        clusters.add(cluster);
    }
    List<TaskCluster> tcSet = new ArrayList<>();
    counter = 0;
    for (List<TaskId> cluster : clusters) {
        List<Task> taskStates = new ArrayList<>();
        for (TaskId tid : cluster) {
            taskStates.add(activityPlanMap.get(tid.getActivityId()).getTasks()[tid.getPartition()]);
        }
        TaskCluster tc = new TaskCluster(new TaskClusterId(ac.getId(), counter++), ac, taskStates.toArray(new Task[taskStates.size()]));
        tcSet.add(tc);
        for (TaskId tid : cluster) {
            activityPlanMap.get(tid.getActivityId()).getTasks()[tid.getPartition()].setTaskCluster(tc);
        }
    }
    return tcSet.toArray(new TaskCluster[tcSet.size()]);
}
Also used : Task(org.apache.hyracks.control.cc.job.Task) TaskId(org.apache.hyracks.api.dataflow.TaskId) HashSet(java.util.HashSet) Set(java.util.Set) BitSet(java.util.BitSet) HashMap(java.util.HashMap) ActivityId(org.apache.hyracks.api.dataflow.ActivityId) ConnectorDescriptorId(org.apache.hyracks.api.dataflow.ConnectorDescriptorId) ArrayList(java.util.ArrayList) ArrayList(java.util.ArrayList) List(java.util.List) HashSet(java.util.HashSet) IConnectorPolicy(org.apache.hyracks.api.dataflow.connectors.IConnectorPolicy) ActivityPlan(org.apache.hyracks.control.cc.job.ActivityPlan) BitSet(java.util.BitSet) TaskCluster(org.apache.hyracks.control.cc.job.TaskCluster) HashMap(java.util.HashMap) Map(java.util.Map) TaskClusterId(org.apache.hyracks.control.cc.job.TaskClusterId) JobRun(org.apache.hyracks.control.cc.job.JobRun)

Example 13 with JobRun

use of org.apache.hyracks.control.cc.job.JobRun in project asterixdb by apache.

the class AbstractTaskLifecycleWork method runWork.

@Override
public final void runWork() {
    IJobManager jobManager = ccs.getJobManager();
    JobRun run = jobManager.get(jobId);
    if (run != null) {
        TaskId tid = taId.getTaskId();
        Map<ActivityId, ActivityCluster> activityClusterMap = run.getActivityClusterGraph().getActivityMap();
        ActivityCluster ac = activityClusterMap.get(tid.getActivityId());
        if (ac != null) {
            Map<ActivityId, ActivityPlan> taskStateMap = run.getActivityClusterPlanMap().get(ac.getId()).getActivityPlanMap();
            Task[] taskStates = taskStateMap.get(tid.getActivityId()).getTasks();
            if (taskStates != null && taskStates.length > tid.getPartition()) {
                Task ts = taskStates[tid.getPartition()];
                TaskCluster tc = ts.getTaskCluster();
                List<TaskClusterAttempt> taskClusterAttempts = tc.getAttempts();
                if (taskClusterAttempts != null && taskClusterAttempts.size() > taId.getAttempt()) {
                    TaskClusterAttempt tca = taskClusterAttempts.get(taId.getAttempt());
                    TaskAttempt ta = tca.getTaskAttempts().get(tid);
                    if (ta != null) {
                        performEvent(ta);
                    }
                }
            }
        }
    }
}
Also used : Task(org.apache.hyracks.control.cc.job.Task) TaskId(org.apache.hyracks.api.dataflow.TaskId) TaskClusterAttempt(org.apache.hyracks.control.cc.job.TaskClusterAttempt) ActivityId(org.apache.hyracks.api.dataflow.ActivityId) ActivityPlan(org.apache.hyracks.control.cc.job.ActivityPlan) IJobManager(org.apache.hyracks.control.cc.job.IJobManager) ActivityCluster(org.apache.hyracks.api.job.ActivityCluster) TaskCluster(org.apache.hyracks.control.cc.job.TaskCluster) TaskAttempt(org.apache.hyracks.control.cc.job.TaskAttempt) JobRun(org.apache.hyracks.control.cc.job.JobRun)

Example 14 with JobRun

use of org.apache.hyracks.control.cc.job.JobRun in project asterixdb by apache.

the class GetActivityClusterGraphJSONWork method doRun.

@Override
protected void doRun() throws Exception {
    IJobManager jobManager = ccs.getJobManager();
    ObjectMapper om = new ObjectMapper();
    JobRun run = jobManager.get(jobId);
    if (run == null) {
        json = om.createObjectNode();
        return;
    }
    json = run.getActivityClusterGraph().toJSON();
}
Also used : IJobManager(org.apache.hyracks.control.cc.job.IJobManager) ObjectMapper(com.fasterxml.jackson.databind.ObjectMapper) JobRun(org.apache.hyracks.control.cc.job.JobRun)

Example 15 with JobRun

use of org.apache.hyracks.control.cc.job.JobRun in project asterixdb by apache.

the class RegisterPartitionRequestWork method run.

@Override
public void run() {
    PartitionId pid = partitionRequest.getPartitionId();
    IJobManager jobManager = ccs.getJobManager();
    JobRun run = jobManager.get(pid.getJobId());
    if (run == null) {
        return;
    }
    PartitionMatchMaker pmm = run.getPartitionMatchMaker();
    Pair<PartitionDescriptor, PartitionRequest> match = pmm.matchPartitionRequest(partitionRequest);
    if (match != null) {
        try {
            PartitionUtils.reportPartitionMatch(ccs, pid, match);
        } catch (Exception e) {
            e.printStackTrace();
        }
    }
}
Also used : PartitionRequest(org.apache.hyracks.control.common.job.PartitionRequest) PartitionDescriptor(org.apache.hyracks.control.common.job.PartitionDescriptor) IJobManager(org.apache.hyracks.control.cc.job.IJobManager) PartitionMatchMaker(org.apache.hyracks.control.cc.partitions.PartitionMatchMaker) PartitionId(org.apache.hyracks.api.partitions.PartitionId) JobRun(org.apache.hyracks.control.cc.job.JobRun)

Aggregations

JobRun (org.apache.hyracks.control.cc.job.JobRun)19 IJobManager (org.apache.hyracks.control.cc.job.IJobManager)9 HyracksException (org.apache.hyracks.api.exceptions.HyracksException)5 ObjectMapper (com.fasterxml.jackson.databind.ObjectMapper)3 ActivityId (org.apache.hyracks.api.dataflow.ActivityId)3 ActivityPlan (org.apache.hyracks.control.cc.job.ActivityPlan)3 Task (org.apache.hyracks.control.cc.job.Task)3 TaskCluster (org.apache.hyracks.control.cc.job.TaskCluster)3 ArrayList (java.util.ArrayList)2 List (java.util.List)2 TaskId (org.apache.hyracks.api.dataflow.TaskId)2 ActivityCluster (org.apache.hyracks.api.job.ActivityCluster)2 PartitionId (org.apache.hyracks.api.partitions.PartitionId)2 INodeManager (org.apache.hyracks.control.cc.cluster.INodeManager)2 ActivityClusterPlan (org.apache.hyracks.control.cc.job.ActivityClusterPlan)2 PartitionMatchMaker (org.apache.hyracks.control.cc.partitions.PartitionMatchMaker)2 PartitionDescriptor (org.apache.hyracks.control.common.job.PartitionDescriptor)2 PartitionRequest (org.apache.hyracks.control.common.job.PartitionRequest)2 JobProfile (org.apache.hyracks.control.common.job.profiling.om.JobProfile)2 ObjectNode (com.fasterxml.jackson.databind.node.ObjectNode)1