我刚刚做了这个:

IQueryable<Product> query = EntitySet.Where(p => p.Id == id);
Debug.WriteLine(query);

结果显示在Output:

SELECT 
    [Extent1].[Id] AS [Id], 
    [Extent1].[Code] AS [Code], 
    [Extent1].[Name] AS [Name], 
    [Extent2].[Id] AS [Id1], 
    [Extent2].[FileName] AS [FileName], 
    FROM  [dbo].[Products] AS [Extent1]
    INNER JOIN [dbo].[PersistedFiles] AS [Extent2] ON [Extent1].[PersistedFileId] = [Extent2].[Id]
    WHERE [Extent1].[Id] = @p__linq__0

好吧，目前我正在使用Express分析器，缺点是它只适用于MS SQL Server。你可以在这里找到这个工具:https://expressprofiler.codeplex.com/

对于那些使用Entity Framework 6及以上版本的用户，如果你想在Visual Studio中查看输出SQL(就像我做的那样)，你必须使用新的日志/拦截功能。

添加下面这行代码将在Visual Studio输出面板中输出生成的SQL(以及其他与执行相关的详细信息):

using (MyDatabaseEntities context = new MyDatabaseEntities())
{
    context.Database.Log = s => System.Diagnostics.Debug.WriteLine(s);
    // query the database using EF here.
}

有关登录EF6的更多信息，请参阅这个漂亮的博客系列:http://blog.oneunicorn.com/2013/05/08/ef6-sql-logging-part-1-simple-logging/

注意:确保在DEBUG模式下运行项目。

IQueryable query = from x in appEntities
                   where x.id = 32
                   select x;
var queryString = query.ToString();

将返回sql查询。使用EntityFramework的数据上下文进行工作

从EF6.1开始，您可以使用拦截器来注册数据库记录器。 请参见“拦截器”和“记录数据库操作”章节

<configuration>
  <entityFramework>
    <interceptors> 
      <interceptor type="System.Data.Entity.Infrastructure.Interception.DatabaseLogger, EntityFramework"> 
        <parameters> 
          <parameter value="C:\Temp\LogOutput.txt"/> 
          <parameter value="true" type="System.Boolean"/> 
        </parameters> 
      </interceptor> 
    </interceptors>
  </entityFramework>
</configuration>

有两种方法:

To view the SQL that will be generated, simply call ToTraceString(). You can add it into your watch window and set a breakpoint to see what the query would be at any given point for any LINQ query. You can attach a tracer to your SQL server of choice, which will show you the final query in all its gory detail. In the case of MySQL, the easiest way to trace the queries is simply to tail the query log with tail -f. You can learn more about MySQL's logging facilities in the official documentation. For SQL Server, the easiest way is to use the included SQL Server profiler.