在ASP.Net MVC中长时间运行SQL查询的最佳实践

我有一个动作方法,需要根据用户选择的日期完成15~52个长时间运行的SQL查询(所有这些查询都相似,每个查询需要5秒以上才能完成).

在做了大量研究之后,似乎在不阻塞ASP.Net线程的情况下执行此操作的最佳方法是使用async / await任务方法使用SQL查询：

[HttpPost]
public async Task<JsonResult> Action() {   
    // initialization stuff

    // create tasks to run async SQL queries
    ConcurrentBag<Tuple<DateTime,List<long>>> weeklyObsIdBag = 
        new ConcurrentBag<Tuple<DateTime,List<long>>>();
    Task[] taskList = new Task[reportDates.Count()];
    int idx = 0;
    foreach (var reportDate in reportDates) { //15 <= reportDates.Count() <= 52
        var task = Task.Run(async () => {
            using (var sioDbContext = new SioDbContext()) {
                var historyEntryQueryable = sioDbContext.HistoryEntries
                    .AsNoTracking()
                    .AsQueryable<HistoryEntry>();
                var obsIdList = await getObsIdListAsync(
                    historyEntryQueryable,reportDate
                );
                weeklyObsIdBag.Add(new Tuple<DateTime,List<long>>(reportDate,obsIdList));
            }
        });
        taskList[idx++] = task;
    }
    //await for all the tasks to complete
    await Task.WhenAll(taskList);

    // consume the results from long running SQL queries,// which is stored in weeklyObsIdBag
}

private async Task<List<long>> getObsIdListAsync(
    IQueryable<HistoryEntry> historyEntryQueryable,DateTime reportDate
) {
    //apply reportDate condition to historyEntryQueryable

    //run async query
    List<long> obsIdList = await historyEntryQueryable.Select(he => he.ObjectId)
        .Distinct()
        .ToListAsync()
        .ConfigureAwait(false);
    return obsIdList;
}

进行此更改后,完成此操作所需的时间大大减少,因为现在我可以同时执行多个(15~52)异步SQL查询并等待它们完成而不是按顺序运行它们.但是,用户开始遇到很多超时问题,例如：

(from Elmah error log) 
"Timeout expired. The timeout period elapsed prior to obtaining a connection from the pool. 
 This may have occurred because all pooled connections were in use and max pool size was 
 reached."
"The wait operation timed out"

它是由线程饥饿引起的吗？我感觉我可能在线程池中使用了太多线程来实现我想要的东西,但我认为这应该不是问题,因为我使用async / await来阻止所有线程被阻塞.

如果事情不会以这种方式工作,那么执行多个长时间运行的SQL查询的最佳做法是什么？

解决方法

int concurrentTasksLimit = 5;
List<Task> taskList = new List<Task>();
foreach (var reportDate in reportDates) { //15 <= reportDates.Count() <= 52
    var task = Task.Run(async () => {
        using (var sioDbContext = new SioDbContext()) {
            var historyEntryQueryable = sioDbContext.HistoryEntries
                .AsNoTracking()
                .AsQueryable<HistoryEntry>();
            var obsIdList = await getObsIdListAsync(
                historyEntryQueryable,reportDate
            );
            weeklyObsIdBag.Add(new Tuple<DateTime,obsIdList));
        }
    });
    taskList.Add(task);
    if (concurrentTasksLimit == taskList.Count)
    {
        await Task.WhenAll(taskList);
        // before clearing the list,you should get the results and store in memory (e.g another list) for later usage...
        taskList.Clear();
    }
}
//await for all the remaining tasks to complete
if (taskList.Any())
    await Task.WhenAll(taskList);

请注意,我将taskList更改为实际的List< Task>,它似乎更容易使用它,因为我们需要从列表中添加/删除任务.

此外,您应该在清除taskList之前获取结果,因为您将在以后使用它们.

（编辑：安卓应用网）

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