Now that all my server are SQL Server 2008 I use SSMS with SSMS Toolpack and Toad. I don't really use Query Analyzer anymore. The other day I found out that you can hide objects you don't want to see in SSMS by using filters.

Let's first look at some code. Create a new database named test, create a new schema named Denis and then add 3 tables to the dbo schema and 3 tables to the Denis schema. Just run the code below

Best Practice: coding SQL Server triggers for multi-row operations

There are many forum posts where people code triggers but these triggers are coded incorrectly because they don't account for multi-row operations. A trigger fires per batch not per row, if you are lucky you will get an error...if you are not lucky you will not get an error but it might take a while before you notice that you are missing a whole bunch of data

Let's take a look, first create these two tables

The CSS SQL Server Engineers have posted an interesting post, I myself don't have any of the fake identity columns but I did many times suggest in newsgroups to use UPDLOCK and HOLDLOCK in a transaction to guarantee that 2 inserts would not generate the same key value. This stuff below is from the CSS SQL Server Engineers post here: http://blogs.msdn.com/psssql/archive/2009/10/26/reduce-locking-and-other-needs-when-updating-data-better-performance.aspx

This was asked on twitter recently and I gave the answer there. I decided to write a blog post about this because I can use over 140 charaters here instead.

You will see the Cannot resolve collation conflict for equal to operation error when you try to join 2 tables. let's take a look at what we need to do to resolve this. First create and populate these two tables

I saw this question in in Google Analytics from a Google search that hit our site.

So, how can you determice if an index is clustered or not? There are two ways, you can use either the INDEXPROPERTY function or the sysindexes/sys.sysindexes system table/view

To see how it works we will create a table with one clustered and one non clustered index on it

Here is the code for that