One slight shortcoming in Microsoft’s SQL Azure (the SQL Server 2008 flavor that is hosted in Microsoft’s cloud platform) is that users don’t have the trace privileges needed to use SQL Profiler to profile query and performance behavior. Fortunately there are other ways to extract performance data for individual queries; SQL Azure exposes IO statistics, timings, and execution plans in the same way as normal non-cloud editions of SQL Server.
I have recently done some testing against SQL Azure using my tools. Huagati DBML/EDMX Tools needed some minor adjustments to work against SQL Azure as outlined in a previous blog post: http://huagati.blogspot.com/2010/12/sql-azure-support-in-huagati-dbmledmx.html
Next up was testing the profiling / logging components for Entity Framework 4 and Linq-to-SQL in Huagati Query Profiler against SQL Azure. Fortunately I can announce that it works just fine; the techniques used by the Huagati Query Profiler’s logging components for capturing server-side timings, I/O statistics, query execution plans are all supported in SQL Azure. The log entries will look the same and the same performance data and filtering options that work against local SQL Server instances can be used against SQL Server in the cloud.
One interesting thing I noticed while testing is that the roundtrip times against the SQL Azure instance I am accessing is only 100-150ms above accessing a database on my local LAN. That is impressive considering I am in Thailand and the SQL Azure instance is in Singapore, and faster than what I have seen mentioned in some forums and blog posts from US SQL Azure users.
To get started, download and install the Huagati Query Profiler from http://huagati.com/l2sprofiler/ and take a look at these blog posts and/or the sample code that is installed together with the profiler:
Entity Framework: http://huagati.blogspot.com/2010/06/entity-framework-support-in-huagati.html
Next, you can either try the sample projects that ship with the profiler against your own SQL Azure instance, or add profiling support to your own Entity Framework 4 or Linq-to-SQL based projects against a SQL Azure database.