In my previous post on streamlining the operations of the transaction log, I discussed two of the most common causes of extra log records being generated: dead weight from unused nonclustered indexes and page split operations (that cause index fragmentation). Assuming you’ve read that post, I mentioned that there are more subtle problems that can be detrimental to transaction log performance, and I’m going to cover these here.
Many people have implemented ASPState in their environment. Some people use the in-memory option (InProc), but usually I see the database option being used. There are some potential inefficiencies here that you might not notice on low volume sites but that will start to affect performance as your web volume ramps up.
In many SQL Server workloads, especially OLTP, the database’s transaction log can be a bottleneck that adds to the time it takes a transaction to complete. Most people assume that the I/O subsystem is the real bottleneck, with it not being able to keep up with the amount of transaction log being generated by the workload.
During some restore operations in SQL Server, the transaction log redo step might be taking an unusually long time. Depending somewhat on the version and edition of SQL Server you've installed, you may be able to increase performance by tinkering with the readahead performance for the redo operations. To do this, you should use the MAXTRANSFERSIZE parameter of the RESTORE statement. For example, if you set MAXTRANSFERSIZE = 1048576, it'll use 1MB buffers.
One of the things that's simultaneously great and horrible about the Internet is that, once something gets posted out in the ether, it basically never goes away. (Some day, politicians will realize this. We can easily fact check their consistency.) Because of longevity of content posted to the Internet, a lot of performance tuning topics become "zombies." We shoot 'em dead, but they keep coming back!