相关疑难解决方法(0)

我正在重构一个应用程序,并尝试添加现有函数的异步版本,以提高ASP.NET MVC应用程序的性能时间.我知道异步函数有一个开销,但我预计,如果有足够的迭代次数,从数据库加载数据的I/O密集型性质将不仅可以弥补开销损失,而且还可以获得显着的性能提升.

该TermusRepository.LoadByTermusId函数通过从数据库中检索一堆数据表(使用ADO.NET和Oracle Managed Client)来加载数据,填充模型并返回它.TermusRepository.LoadByTermusIdAsync类似的,除了它是异步的,当有多个数据表需要检索时,加载数据表下载任务的方法略有不同.

public async Task<ActionResult> AsyncPerformanceTest()
{
    var vm = new AsyncPerformanceTestViewModel();
    Stopwatch watch = new Stopwatch();
    watch.Start();
    for (int i = 0; i < 60; i++)
    {
        TermusRepository.LoadByTermusId<Termus2011_2012EndYear>("1");
        TermusRepository.LoadByTermusId<Termus2011_2012EndYear>("5");
        TermusRepository.LoadByTermusId<Termus2011_2012EndYear>("6");
        TermusRepository.LoadByTermusId<Termus2011_2012EndYear>("7");
    }
    watch.Stop();
    vm.NonAsyncElapsedTime = watch.Elapsed;
    watch.Reset();
    watch.Start();
    var tasks = new List<Task<Termus2011_2012EndYear>>();
    for (int i = 0; i < 60; i++)
    {
        tasks.Add(TermusRepository.LoadByTermusIdAsync<Termus2011_2012EndYear>("1"));
        tasks.Add(TermusRepository.LoadByTermusIdAsync<Termus2011_2012EndYear>("5"));
        tasks.Add(TermusRepository.LoadByTermusIdAsync<Termus2011_2012EndYear>("6"));
        tasks.Add(TermusRepository.LoadByTermusIdAsync<Termus2011_2012EndYear>("7"));               
    }
    await Task.WhenAll(tasks.ToArray());
    watch.Stop();
    vm.AsyncElapsedTime = watch.Elapsed;            
    return View(vm);
}

public static async Task<T> LoadByTermusIdAsync<T>(string …