无法使用Miniprofiler打印查询

时间:2018-11-15 14:28:05

标签: c# .net mvc-mini-profiler miniprofiler

我在项目中集成了Entity Framework和CodeFirstStoredProc库。我想记录两个库执行的查询。以前我使用的是EF提供的Database.Log委托,但是由于我也想记录来自其他库的查询,因此我决定为它集成Miniprofiler。

我使用以下代码在result变量中获取查询日志:

MiniProfilerEF6.Initialize();
        MiniProfiler.StartNew("Test");
        using (MiniProfiler.Current.Step("Level 1"))
        {
            DbConnection spConnection = new System.Data.SqlClient.SqlConnection(ConfigurationManager.ConnectionStrings["DefaultConnection"].ConnectionString);
            ProfiledDbConnection profileSpConnection = new ProfiledDbConnection(spConnection, MiniProfiler.Current);
            using (EfDataContext db = new EfDataContext(profileSpConnection))
            {
                List<Domain.PersonEntity> data = db.Persons.ToList();
            }
            using (StoredProcedureContext db = new StoredProcedureContext(profileSpConnection))
            {
                List<GetPersonResult> data = db.GetPerson.CallStoredProc(new Domain.GetPersonParameter { IsActive = true }).ToList<GetPersonResult>();
            }
            string result = MiniProfiler.Current.RenderPlainText();
        }
        MiniProfiler.Current.Stop();

我希望输出查询包含所有详细信息,但不幸的是我得到的结果如下:

Manprit-PC at 11/15/2018 2:24:27 PM
 Test = ms
> Level 1 = ms (sql = 45ms in 12 cmds)

我缺少实现的东西了吗?

2 个答案:

答案 0 :(得分:2)

这就是guide当前版本呈现自定义计时信息的方式。自定义计时是使用CustomTiming()而不是Step()创建的,它们通常是MiniProfiler层次结构中的叶子测量值,例如数据库交互或HTTP请求。

您可以轻松地自定义渲染过程并渲染有关自定义时间的详细信息:

SERVER at 23.11.2018 09:00:00
 MiniProfiler = 48,3[ms]
> Foo = 35,6ms (sql = 24,8[ms] in 1 cmd) (http = 4,7[ms] in 1 cmd)
   sql 24,8[ms] +16,9[ms] SELECT * FROM Foo
   http 4,7[ms] +41,8[ms] GET http://foo.bar

示例实现:

using StackExchange.Profiling;
using StackExchange.Profiling.Internal;
...
public static string CustomRenderPlainText(this MiniProfiler profiler, bool htmlEncode = false)
{
    if (profiler == null) return string.Empty;

    var text = StringBuilderCache.Get()
        .Append(htmlEncode ? WebUtility.HtmlEncode(Environment.MachineName) : Environment.MachineName)
        .Append(" at ")
        .Append(DateTime.UtcNow)
        .AppendLine();

    var timings = new Stack<Timing>();
    timings.Push(profiler.Root);

    while (timings.Count > 0)
    {
        var timing = timings.Pop();

        text.AppendFormat("{0} {1} = {2:###,##0.##}[ms]",
            new string('>', timing.Depth),
            htmlEncode ? WebUtility.HtmlEncode(timing.Name) : timing.Name,
            timing.DurationMilliseconds);

        if (timing.HasCustomTimings)
        {
            // TODO: Customize this code block.

            // Custom timings grouped by category. Collect all custom timings in a list.
            var customTimingsFlat = new List<KeyValuePair<string, CustomTiming>>(capacity: timing.CustomTimings.Sum(ct => ct.Value.Count));
            foreach (var pair in timing.CustomTimings)
            {
                var type = pair.Key;
                var customTimings = pair.Value;

                customTimingsFlat.AddRange(pair.Value.Select(ct => KeyValuePair.Create(type, ct)));
                text.AppendFormat(" ({0} = {1:###,##0.##}[ms] in {2} cmd{3})",
                    type,
                    customTimings.Sum(ct => ct.DurationMilliseconds),
                    customTimings.Count,
                    customTimings.Count == 1 ? string.Empty : "s");
            }

            foreach (var pair in customTimingsFlat.OrderBy(kvp => kvp.Value.StartMilliseconds))
            {
                var type = pair.Key;
                var ct = pair.Value;

                text.AppendLine();
                var mainPart = string.Format("{0}{1} {2:###,##0.##}[ms] +{3:###,##0.##}[ms] ",
                                    new string(' ', timing.Depth + 2),
                                    type,
                                    ct.DurationMilliseconds,
                                    ct.StartMilliseconds);
                text.Append(mainPart);
                // Shift command text to closer to the command for better readability.
                var prefix = new string(' ', mainPart.Length);
                string cmdLine = null;
                using (var reader = new StringReader(ct.CommandString))
                {
                    while ((cmdLine = reader.ReadLine()) != null)
                    {
                        text.Append(cmdLine);
                        if (reader.Peek() == -1 && profiler.Options.ExcludeStackTraceSnippetFromCustomTimings)
                        {
                            break;
                        }
                        text.AppendLine();
                        text.Append(prefix);
                    }
                }

                if (profiler.Options.ExcludeStackTraceSnippetFromCustomTimings)
                {
                    continue;
                }
                text.Append(ct.StackTraceSnippet);
            }
        }

        text.AppendLine();

        if (timing.HasChildren)
        {
            var children = timing.Children;
            for (var i = children.Count - 1; i >= 0; i--) timings.Push(children[i]);
        }
    }

    return text.ToStringRecycle();
}

还要注意,默认情况下,为了以所有时间呈现MiniProfiler报告,您需要先调用Stop()。您也可以通过计算报告中到目前为止的时间来对此进行自定义。

答案 1 :(得分:0)

在对EntityFramework 6进行性能分析时,您需要在第一个查询之前连接 。因此,.Initialize()调用需要在应用程序启动时更早进行。您可以找到the MiniProfiler EF6 docs here

给出标签,看起来您正在使用Web应用程序,因此应尽早进行如下操作:

using StackExchange.Profiling.EntityFramework6;

protected void Application_Start()
{
    MiniProfilerEF6.Initialize();
}