正如@Stepehen-cleary 所说,“特别是, async 和 await 本身不会创建任何新线程。”
下一个例子取自 John Skeet 的“CSharp in Depth”一书,第 15 章 pp.465:
class AsyncForm : Form
{
/* The first part of listing 15.1 simply creates the UI and hooks up an event handler for
the button in a straightforward way */
Label label;
Button button;
public AsyncForm()
{
label = new Label {
Location = new Point(10, 20),
Text = "Length"
};
button = new Button {
Location = new Point(10, 50),
Text = "Click"
};
button.Click += DisplayWebSiteLength;
AutoSize = true;
Controls.Add(label);
Controls.Add(button);
}
/* When you click on the button, the text of the book’s home page is fetched
and the label is updated to display the HTML lenght in characters */
async void DisplayWebSiteLength(object sender, EventArgs e)
{
label.Text = "Fetching...";
using (HttpClient client = new HttpClient())
{
string text =
await client.GetStringAsync("http://csharpindepth.com");
label.Text = text.Length.ToString();
}
}
/* The label is updated to display the HTML length in characters D. The
HttpClient is also disposed appropriately, whether the operation succeeds or fails—
something that would be all too easy to forget if you were writing similar asynchronous
code in C# 4 */
}
考虑到这一点,让我们看一下您的代码,您有 Result1 和 Result2,让一个异步任务等待同步任务完成是没有意义的。我会使用Parallelism,这样您就可以执行这两种方法,但要返回两组数据,同时执行 LINQ 查询。
看看这个关于 Parallelism with Async Tasks 的简短示例:
public class StudentDocs
{
//some code over here
string sResult = ProcessDocs().Result;
//If string sResult is not empty there was an error
if (!sResult.Equals(string.Empty))
throw new Exception(sResult);
//some code over there
##region Methods
public async Task<string> ProcessDocs()
{
string sResult = string.Empty;
try
{
var taskStuDocs = GetStudentDocumentsAsync(item.NroCliente);
var taskStuClasses = GetStudentSemesterClassesAsync(item.NroCliente, vencimientoParaProductos);
//We Wait for BOTH TASKS to be accomplished...
await Task.WhenAll(taskStuDocs, taskStuClasses);
//Get the IList<Class>
var docsStudent = taskStuDocs.Result;
var docsCourses = taskStuClasses.Result;
/*
You can do something with this data ... here
*/
}
catch (Exception ex)
{
sResult = ex.Message;
Loggerdb.LogInfo("ERROR:" + ex.Message);
}
}
public async Task<IList<classA>> GetStudentDocumentsAsync(long studentId)
{
return await Task.Run(() => GetStudentDocuments(studentId)).ConfigureAwait(false);
}
public async Task<IList<classB>> GetStudentSemesterCoursessAsync(long studentId)
{
return await Task.Run(() => GetStudentSemesterCourses(studentId)).ConfigureAwait(false);
}
//Performs task to bring Student Documents
public IList<ClassA> GetStudentDocuments(long studentId)
{
IList<ClassA> studentDocs = new List<ClassA>();
//Let's execute a Stored Procedured map on Entity Framework
using (ctxUniversityData oQuery = new ctxUniversityData())
{
//Since both TASKS are running at the same time we use AsParallel for performing parallels LINQ queries
foreach (var item in oQuery.GetStudentGrades(Convert.ToDecimal(studentId)).AsParallel())
{
//These are every element of IList
studentDocs.Add(new ClassA(
(int)(item.studentId ?? 0),
item.studentName,
item.studentLastName,
Convert.ToInt64(item.studentAge),
item.studentProfile,
item.studentRecord
));
}
}
return studentDocs;
}
//Performs task to bring Student Courses per Semester
public IList<ClassB> GetStudentSemesterCourses(long studentId)
{
IList<ClassB> studentCourses = new List<ClassB>();
//Let's execute a Stored Procedured map on Entity Framework
using (ctxUniversityData oQuery = new ctxUniversityData())
{
//Since both TASKS are running at the same time we use AsParallel for performing parallels LINQ queries
foreach (var item in oQuery.GetStudentCourses(Convert.ToDecimal(studentId)).AsParallel())
{
//These are every element of IList
studentCourses.Add(new ClassB(
(int)(item.studentId ?? 0),
item.studentName,
item.studentLastName,
item.carreerName,
item.semesterNumber,
Convert.ToInt64(item.Year),
item.course ,
item.professorName
));
}
}
return studentCourses;
}
#endregion
}