private static async Task WriteFinalOutput(int number, string taskId, TaskOutputStorage taskStorage, string index)
{
Console.WriteLine("Write output to task storage from EXE");
using (ITrackedSaveOperation stdout = await taskStorage.SaveTrackedAsync(
TaskOutputKind.TaskLog,
RootDir("stdout.txt"),
"stdout.txt",
TimeSpan.FromSeconds(15)))
{
Console.WriteLine("Dump output to file from EXE - start");
string outputFile = "results.txt";
using (StreamWriter output = File.CreateText(WorkingDir(outputFile)))
{
output.WriteLine($"final task {taskId}");
output.WriteLine($"element: {number}");
}
// Persist the task output to Azure Storage
Task.WaitAll(taskStorage.SaveAsync(TaskOutputKind.TaskOutput, outputFile));
// We are tracking the disk file to save our standard output, but the node agent may take
// up to 3 seconds to flush the stdout stream to disk. So give the file a moment to catch up.
await Task.Delay(stdoutFlushDelay);
Console.WriteLine("Dump output to file from EXE - finish");
}
}
public static async Task <int> RunTaskAsync()
{
// Obtain service-defined environment variables
string jobId = Environment.GetEnvironmentVariable("AZ_BATCH_JOB_ID");
string taskId = Environment.GetEnvironmentVariable("AZ_BATCH_TASK_ID");
// Obtain the custom environment variable we set in the client application
string jobContainerUrl = Environment.GetEnvironmentVariable("JOB_CONTAINER_URL");
// The task will use the TaskOutputStorage to store both its output and log updates
TaskOutputStorage taskStorage = new TaskOutputStorage(new Uri(jobContainerUrl), taskId);
// The primary task logic is wrapped in a using statement that sends updates to the
// stdout.txt blob in Storage every 15 seconds while the task code runs.
using (ITrackedSaveOperation stdout = await taskStorage.SaveTrackedAsync(
TaskOutputKind.TaskLog,
RootDir("stdout.txt"),
"stdout.txt",
TimeSpan.FromSeconds(15)))
{
string outputFile = $"results_{taskId}.txt";
string summaryFile = $"summary_{taskId}.txt";
using (StreamWriter output = File.CreateText(WorkingDir(outputFile)))
{
using (StreamWriter summary = File.CreateText(WorkingDir(summaryFile)))
{
output.WriteLine($"# Task {taskId}");
const int runCount = 1000000;
int[] results = new int[runCount];
double resultTotal = 0;
for (int i = 0; i < runCount; ++i)
{
int runResult = PerformSingleRunMonteCarloSimulation();
output.WriteLine($"{i}, {runResult}");
results[i] = runResult;
resultTotal += runResult;
if (i % 5000 == 0)
{
Console.WriteLine($"{DateTime.UtcNow}: Processing... done {i}");
}
}
double mean = resultTotal / runCount;
double stddev = Math.Sqrt((from r in results
let d = r - mean
select d * d).Average());
summary.WriteLine($"Task: {taskId}");
summary.WriteLine($"Run count: {runCount}");
summary.WriteLine($"Mean: {mean}");
summary.WriteLine($"Std dev: {stddev}");
}
}
// Persist the task output to Azure Storage
Task.WaitAll(
taskStorage.SaveAsync(TaskOutputKind.TaskOutput, outputFile),
taskStorage.SaveAsync(TaskOutputKind.TaskPreview, summaryFile)
);
// We are tracking the disk file to save our standard output, but the node agent may take
// up to 3 seconds to flush the stdout stream to disk. So give the file a moment to catch up.
await Task.Delay(stdoutFlushDelay);
return(0);
}
}
