Examples with MutableIOMetrics org.apache.flink.runtime.rest.handler.util.MutableIOMetrics used on opensource projects

Example 1 with MutableIOMetrics

use of org.apache.flink.runtime.rest.handler.util.MutableIOMetrics in project flink by apache.

the class JobVertexTaskManagersHandler method createJobVertexTaskManagersInfo.

private static JobVertexTaskManagersInfo createJobVertexTaskManagersInfo(AccessExecutionJobVertex jobVertex, JobID jobID, @Nullable MetricFetcher metricFetcher) {
    // Build a map that groups tasks by TaskManager
    Map<String, String> taskManagerId2Host = new HashMap<>();
    Map<String, List<AccessExecutionVertex>> taskManagerVertices = new HashMap<>();
    for (AccessExecutionVertex vertex : jobVertex.getTaskVertices()) {
        TaskManagerLocation location = vertex.getCurrentAssignedResourceLocation();
        String taskManagerHost = location == null ? "(unassigned)" : location.getHostname() + ':' + location.dataPort();
        String taskmanagerId = location == null ? "(unassigned)" : location.getResourceID().toString();
        taskManagerId2Host.put(taskmanagerId, taskManagerHost);
        List<AccessExecutionVertex> vertices = taskManagerVertices.computeIfAbsent(taskmanagerId, ignored -> new ArrayList<>(4));
        vertices.add(vertex);
    }
    final long now = System.currentTimeMillis();
    List<JobVertexTaskManagersInfo.TaskManagersInfo> taskManagersInfoList = new ArrayList<>(4);
    for (Map.Entry<String, List<AccessExecutionVertex>> entry : taskManagerVertices.entrySet()) {
        String taskmanagerId = entry.getKey();
        String host = taskManagerId2Host.get(taskmanagerId);
        List<AccessExecutionVertex> taskVertices = entry.getValue();
        int[] tasksPerState = new int[ExecutionState.values().length];
        long startTime = Long.MAX_VALUE;
        long endTime = 0;
        boolean allFinished = true;
        MutableIOMetrics counts = new MutableIOMetrics();
        for (AccessExecutionVertex vertex : taskVertices) {
            final ExecutionState state = vertex.getExecutionState();
            tasksPerState[state.ordinal()]++;
            // take the earliest start time
            long started = vertex.getStateTimestamp(ExecutionState.DEPLOYING);
            if (started > 0) {
                startTime = Math.min(startTime, started);
            }
            allFinished &= state.isTerminal();
            endTime = Math.max(endTime, vertex.getStateTimestamp(state));
            counts.addIOMetrics(vertex.getCurrentExecutionAttempt(), metricFetcher, jobID.toString(), jobVertex.getJobVertexId().toString());
        }
        long duration;
        if (startTime < Long.MAX_VALUE) {
            if (allFinished) {
                duration = endTime - startTime;
            } else {
                endTime = -1L;
                duration = now - startTime;
            }
        } else {
            startTime = -1L;
            endTime = -1L;
            duration = -1L;
        }
        ExecutionState jobVertexState = ExecutionJobVertex.getAggregateJobVertexState(tasksPerState, taskVertices.size());
        final IOMetricsInfo jobVertexMetrics = new IOMetricsInfo(counts.getNumBytesIn(), counts.isNumBytesInComplete(), counts.getNumBytesOut(), counts.isNumBytesOutComplete(), counts.getNumRecordsIn(), counts.isNumRecordsInComplete(), counts.getNumRecordsOut(), counts.isNumRecordsOutComplete());
        Map<ExecutionState, Integer> statusCounts = new HashMap<>(ExecutionState.values().length);
        for (ExecutionState state : ExecutionState.values()) {
            statusCounts.put(state, tasksPerState[state.ordinal()]);
        }
        taskManagersInfoList.add(new JobVertexTaskManagersInfo.TaskManagersInfo(host, jobVertexState, startTime, endTime, duration, jobVertexMetrics, statusCounts, taskmanagerId));
    }
    return new JobVertexTaskManagersInfo(jobVertex.getJobVertexId(), jobVertex.getName(), now, taskManagersInfoList);
}

Example 2 with MutableIOMetrics

use of org.apache.flink.runtime.rest.handler.util.MutableIOMetrics in project flink by apache.

the class JobDetailsHandler method createJobVertexDetailsInfo.

private static JobDetailsInfo.JobVertexDetailsInfo createJobVertexDetailsInfo(AccessExecutionJobVertex ejv, long now, JobID jobId, MetricFetcher metricFetcher) {
    int[] tasksPerState = new int[ExecutionState.values().length];
    long startTime = Long.MAX_VALUE;
    long endTime = 0;
    boolean allFinished = true;
    for (AccessExecutionVertex vertex : ejv.getTaskVertices()) {
        final ExecutionState state = vertex.getExecutionState();
        tasksPerState[state.ordinal()]++;
        // take the earliest start time
        long started = vertex.getStateTimestamp(ExecutionState.DEPLOYING);
        if (started > 0L) {
            startTime = Math.min(startTime, started);
        }
        allFinished &= state.isTerminal();
        endTime = Math.max(endTime, vertex.getStateTimestamp(state));
    }
    long duration;
    if (startTime < Long.MAX_VALUE) {
        if (allFinished) {
            duration = endTime - startTime;
        } else {
            endTime = -1L;
            duration = now - startTime;
        }
    } else {
        startTime = -1L;
        endTime = -1L;
        duration = -1L;
    }
    ExecutionState jobVertexState = ExecutionJobVertex.getAggregateJobVertexState(tasksPerState, ejv.getParallelism());
    Map<ExecutionState, Integer> tasksPerStateMap = new HashMap<>(tasksPerState.length);
    for (ExecutionState executionState : ExecutionState.values()) {
        tasksPerStateMap.put(executionState, tasksPerState[executionState.ordinal()]);
    }
    MutableIOMetrics counts = new MutableIOMetrics();
    for (AccessExecutionVertex vertex : ejv.getTaskVertices()) {
        counts.addIOMetrics(vertex.getCurrentExecutionAttempt(), metricFetcher, jobId.toString(), ejv.getJobVertexId().toString());
    }
    final IOMetricsInfo jobVertexMetrics = new IOMetricsInfo(counts.getNumBytesIn(), counts.isNumBytesInComplete(), counts.getNumBytesOut(), counts.isNumBytesOutComplete(), counts.getNumRecordsIn(), counts.isNumRecordsInComplete(), counts.getNumRecordsOut(), counts.isNumRecordsOutComplete());
    return new JobDetailsInfo.JobVertexDetailsInfo(ejv.getJobVertexId(), ejv.getName(), ejv.getMaxParallelism(), ejv.getParallelism(), jobVertexState, startTime, endTime, duration, tasksPerStateMap, jobVertexMetrics);
}

Example 3 with MutableIOMetrics

use of org.apache.flink.runtime.rest.handler.util.MutableIOMetrics in project flink by apache.

the class SubtaskExecutionAttemptDetailsInfo method create.

public static SubtaskExecutionAttemptDetailsInfo create(AccessExecution execution, @Nullable MetricFetcher metricFetcher, JobID jobID, JobVertexID jobVertexID) {
    final ExecutionState status = execution.getState();
    final long now = System.currentTimeMillis();
    final TaskManagerLocation location = execution.getAssignedResourceLocation();
    final String locationString = location == null ? "(unassigned)" : location.getHostname();
    String taskmanagerId = location == null ? "(unassigned)" : location.getResourceID().toString();
    long startTime = execution.getStateTimestamp(ExecutionState.DEPLOYING);
    if (startTime == 0) {
        startTime = -1;
    }
    final long endTime = status.isTerminal() ? execution.getStateTimestamp(status) : -1;
    final long duration = startTime > 0 ? ((endTime > 0 ? endTime : now) - startTime) : -1;
    final MutableIOMetrics ioMetrics = new MutableIOMetrics();
    ioMetrics.addIOMetrics(execution, metricFetcher, jobID.toString(), jobVertexID.toString());
    final IOMetricsInfo ioMetricsInfo = new IOMetricsInfo(ioMetrics.getNumBytesIn(), ioMetrics.isNumBytesInComplete(), ioMetrics.getNumBytesOut(), ioMetrics.isNumBytesOutComplete(), ioMetrics.getNumRecordsIn(), ioMetrics.isNumRecordsInComplete(), ioMetrics.getNumRecordsOut(), ioMetrics.isNumRecordsOutComplete());
    return new SubtaskExecutionAttemptDetailsInfo(execution.getParallelSubtaskIndex(), status, execution.getAttemptNumber(), locationString, startTime, endTime, duration, ioMetricsInfo, taskmanagerId);
}