In SQL Server we have the ability to create triggers to respond to events occurring within our databases or across the server. These typically come in two varieties – DDL and DML triggers. Here we’ll look at what DDL triggers are and how to implement them. What are DDL triggers A DDL trigger is a […]
When creating items in SQL Server we aren’t able to create multiple with the same name, for example two tables named dbo.Sales. Similarly we couldn’t create a table and view with the same name. However it isn’t the case that everything we create within a database has to be named uniquely. It can depend on […]
It’s that time of the month again and this invitation from Reitse has asked us about some fun we’ve had with T-SQL in the past. Whilst I’ve used SQL Server over the years and it’s features as part of various solutions for others, I enjoy the time I can put it to work for solving […]
We’ve previously looked at how to implement vertical partitioning and the benefits it can bring within our data. Here I’d like to dive a little further into improving the performance even further with a couple of modifications to our schema. We’ll use the same setup as we had previously to create the table, populate it and partition it. This results in […]
We recently looked at implementing vertical partitioning on a set of data. In an earlier introduction post we also mentioned the benefits which can be seen as a result of the partitioning in both our maintenance and querying of the data. Here we’ll take a look at those benefits with a little more evidence. We’ll be using the data […]
Within SQL Server we can store Boolean data using the BIT data type. This value is a single bit which will store a True or False (or null) value. However if you dive a little deeper with the data type it’s actually a little less clear cut in terms of the storage needed for this data type. […]
We previously looked at an introduction to Vertical Partitioning where we covered what it is and the potential benefits and drawbacks of using it. Here I wanted to build up some data and show how we may vertically partition it to help make it more manageable for us. So that we’ve got some relevant data to use […]
When dealing with large volumes of data in SQL Server we may need to look for strategies to make querying and managing the data easier to handle. A few months back we looked at an approach where we partitioned our data into multiple segments by applying partition functions and schemes to our tables. This helps […]
In the previous post we looked at how to use the CROSS APPLY and OUTER APPLY operators as alternative to a JOIN in queries with some examples. As we wrapped that up I also mentioned that there can be drawbacks to using APPLY in our queries, particularly when we’re working with large data sets. The issue is due to the way that the right hand […]
The UPDATE and DELETE statements allow us to manage the data within our databases and being able to use them effectively is key. There was recently a question from a junior developer asking about how to perform data changes when table joins are required so I thought it a good opportunity to put forward some more thought out details […]
Andy Brownsword 