private KMeansTask TaskResultWithTaskID(Guid guid)
{
KMeansTask foundTask = null;
foreach (KMeansTask task in tasks)
{
if (task.TaskData.TaskID == guid && task.Running)
{
foundTask = task;
break;
}
}
return(foundTask);
}
/// <summary>
/// Handles a worker's TaskResult from a running k-means job. Adds up the partial sums from the TaskResult.
/// </summary>
/// <param name="message"></param>
/// <returns>False if the given taskData result has already been counted, true otherwise.</returns>
public bool ProcessWorkerResponse(KMeansTaskResult taskResult, IEnumerable <Worker> workers)
{
// Make sure we're actually still waiting for a result for this taskData
// If not, this might be a duplicate queue message
if (!TaskResultMatchesRunningTask(taskResult))
{
return(true);
}
AzureHelper.LogPerformance(() =>
{
KMeansTask task = TaskResultWithTaskID(taskResult.TaskID);
task.Running = false; // The task has returned a response, which means that it has stopped running
// Add the worker's updated points blocks
if (taskResult.PointsBlockListBlob != null)
{
using (Stream stream = AzureHelper.GetBlob(taskResult.PointsBlockListBlob).OpenRead())
{
BinaryFormatter bf = new BinaryFormatter();
List <string> pointsBlockList = bf.Deserialize(stream) as List <string>;
pointsBlockIDs.AddRange(pointsBlockList);
}
}
// Copy out and integrate the data from the worker response
AddDataFromTaskResult(taskResult);
}, jobData.JobID.ToString(), methodName: "ProcessWorkerResponse", iterationCount: IterationCount, points: Points.Uri.ToString(), centroids: Centroids.Uri.ToString(), machineID: MachineID);
// If this is the last worker to return, this iteration is done and we should start the next one
if (NoMoreRunningTasks())
{
NextIteration(workers);
}
return(true);
}
private bool TaskResultMatchesRunningTask(KMeansTaskResult taskResult)
{
KMeansTask task = TaskResultWithTaskID(taskResult.TaskID);
return(task != null && task.Running);
}
