public async Task<IList<JobModel>> GetJobCollectionAsync(string jobSearchFilter)
{
IPagedEnumerable<CloudJob> jobs = this.Service.ListJobs(OptionsModel.Instance.ListDetailLevel);
List<JobModel> jobModels = new List<JobModel>();
// The properties we want to filter on are not available in a ODATADetailLevel query. Filter them client side
if (!String.IsNullOrWhiteSpace(jobSearchFilter))
{
var jobSearchFilterL = jobSearchFilter.ToLowerInvariant();
var filteredJobs = jobs.Where(f => f.DisplayName.ToLowerInvariant().Contains(jobSearchFilterL) ||
f.Id.ToLowerInvariant().Contains(jobSearchFilterL) ||
f.Metadata.Any(g => g.Name.ToLowerInvariant().Contains(jobSearchFilterL)) ||
f.Metadata.Any(g => g.Value.ToLowerInvariant().Contains(jobSearchFilterL)));
jobModels.AddRange(filteredJobs.Select(item => new JobModel(item)));
}
else
{
await jobs.ForEachAsync(item => jobModels.Add(new JobModel(item)));
}
return jobModels;
}
private static async Task MainAsync(string[] args)
{
// You may adjust these values to experiment with different compute resource scenarios.
const string nodeSize = "small";
const int nodeCount = 4;
const int maxTasksPerNode = 4;
const int taskCount = 32;
// Ensure there are enough tasks to help avoid hitting some timeout conditions below
int minimumTaskCount = nodeCount * maxTasksPerNode * 2;
if (taskCount < minimumTaskCount)
{
Console.WriteLine("You must specify at least two tasks per node core for this sample ({0} tasks in this configuration).", minimumTaskCount);
Console.WriteLine();
// Not enough tasks, exit the application
return;
}
// In this sample, the tasks simply ping localhost on the compute nodes; adjust these
// values to simulate variable task duration
const int minPings = 30;
const int maxPings = 60;
const string poolId = "ParallelTasksSamplePool";
const string jobId = "ParallelTasksSampleJob";
// Amount of time to wait before timing out (potentially) long-running tasks
TimeSpan longTaskDurationLimit = TimeSpan.FromMinutes(30);
// Set up access to your Batch account with a BatchClient. Configure your AccountSettings in the
// Microsoft.Azure.Batch.Samples.Common project within this solution.
BatchSharedKeyCredentials cred = new BatchSharedKeyCredentials(AccountSettings.Default.BatchServiceUrl,
AccountSettings.Default.BatchAccountName,
AccountSettings.Default.BatchAccountKey);
using (BatchClient batchClient = await BatchClient.OpenAsync(cred))
{
// Create a CloudPool, or obtain an existing pool with the specified ID
CloudPool pool = await ArticleHelpers.CreatePoolIfNotExistAsync(batchClient,
poolId,
nodeSize,
nodeCount,
maxTasksPerNode);
// Create a CloudJob, or obtain an existing pool with the specified ID
CloudJob job = await ArticleHelpers.CreateJobIfNotExistAsync(batchClient, poolId, jobId);
// The job's tasks ping localhost a random number of times between minPings and maxPings.
// Adjust the minPings/maxPings values above to experiment with different task durations.
Random rand = new Random();
List <CloudTask> tasks = new List <CloudTask>();
for (int i = 1; i <= taskCount; i++)
{
string taskId = "task" + i.ToString().PadLeft(3, '0');
string taskCommandLine = "ping -n " + rand.Next(minPings, maxPings + 1).ToString() + " localhost";
CloudTask task = new CloudTask(taskId, taskCommandLine);
tasks.Add(task);
}
// Pause execution until the pool is steady and its compute nodes are ready to accept jobs.
// NOTE: Such a pause is not necessary within your own code. Tasks can be added to a job at any point and will be
// scheduled to execute on a compute node as soon any node has reached Idle state. Because the focus of this sample
// is the demonstration of running tasks in parallel on multiple compute nodes, we wait for all compute nodes to
// complete initialization and reach the Idle state in order to maximize the number of compute nodes available for
// parallelization.
await ArticleHelpers.WaitForPoolToReachStateAsync(batchClient, pool.Id, AllocationState.Steady, longTaskDurationLimit);
await ArticleHelpers.WaitForNodesToReachStateAsync(batchClient, pool.Id, ComputeNodeState.Idle, longTaskDurationLimit);
// Add the tasks in one API call as opposed to a separate AddTask call for each. Bulk task submission
// helps to ensure efficient underlying API calls to the Batch service.
await batchClient.JobOperations.AddTaskAsync(job.Id, tasks);
// Pause again to wait until *all* nodes are running tasks
await ArticleHelpers.WaitForNodesToReachStateAsync(batchClient, pool.Id, ComputeNodeState.Running, TimeSpan.FromMinutes(2));
Stopwatch stopwatch = Stopwatch.StartNew();
// Print out task assignment information.
Console.WriteLine();
await GettingStartedCommon.PrintNodeTasksAsync(batchClient, pool.Id);
Console.WriteLine();
// Pause execution while we wait for all of the tasks to complete
Console.WriteLine("Waiting for task completion...");
Console.WriteLine();
try
{
await batchClient.Utilities.CreateTaskStateMonitor().WhenAll(
job.ListTasks(),
TaskState.Completed,
longTaskDurationLimit);
}
catch (TimeoutException e)
{
Console.WriteLine(e.ToString());
}
stopwatch.Stop();
// Obtain the tasks, specifying a detail level to limit the number of properties returned for each task.
// If you have a large number of tasks, specifying a DetailLevel is extremely important in reducing the
// amount of data transferred, lowering your query response times in increasing performance.
ODATADetailLevel detail = new ODATADetailLevel(selectClause: "id,commandLine,nodeInfo,state");
IPagedEnumerable <CloudTask> allTasks = batchClient.JobOperations.ListTasks(job.Id, detail);
// Get a collection of the completed tasks sorted by the compute nodes on which they executed
List <CloudTask> completedTasks = allTasks
.Where(t => t.State == TaskState.Completed)
.OrderBy(t => t.ComputeNodeInformation.ComputeNodeId)
.ToList();
// Print the completed task information
Console.WriteLine();
Console.WriteLine("Completed tasks:");
string lastNodeId = string.Empty;
foreach (CloudTask task in completedTasks)
{
if (!string.Equals(lastNodeId, task.ComputeNodeInformation.ComputeNodeId))
{
Console.WriteLine();
Console.WriteLine(task.ComputeNodeInformation.ComputeNodeId);
}
lastNodeId = task.ComputeNodeInformation.ComputeNodeId;
Console.WriteLine("\t{0}: {1}", task.Id, task.CommandLine);
}
// Get a collection of the uncompleted tasks which may exist if the TaskMonitor timeout was hit
List <CloudTask> uncompletedTasks = allTasks
.Where(t => t.State != TaskState.Completed)
.OrderBy(t => t.Id)
.ToList();
// Print a list of uncompleted tasks, if any
Console.WriteLine();
Console.WriteLine("Uncompleted tasks:");
Console.WriteLine();
if (uncompletedTasks.Any())
{
foreach (CloudTask task in uncompletedTasks)
{
Console.WriteLine("\t{0}: {1}", task.Id, task.CommandLine);
}
}
else
{
Console.WriteLine("\t<none>");
}
// Print some summary information
Console.WriteLine();
Console.WriteLine(" Nodes: " + nodeCount);
Console.WriteLine(" Node size: " + nodeSize);
Console.WriteLine("Max tasks per node: " + pool.MaxTasksPerComputeNode);
Console.WriteLine(" Tasks: " + tasks.Count);
Console.WriteLine(" Duration: " + stopwatch.Elapsed);
Console.WriteLine();
Console.WriteLine("Done!");
Console.WriteLine();
// Clean up the resources we've created in the Batch account
Console.WriteLine("Delete job? [yes] no");
string response = Console.ReadLine().ToLower();
if (response != "n" && response != "no")
{
await batchClient.JobOperations.DeleteJobAsync(job.Id);
}
Console.WriteLine("Delete pool? [yes] no");
response = Console.ReadLine();
if (response != "n" && response != "no")
{
await batchClient.PoolOperations.DeletePoolAsync(pool.Id);
}
}
}
