Data Engineer and Nerd
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. […]
For March’s T-SQL Tuesday invitation, Damien has asked us to consider a wish list for Microsoft’s partnership with OpenAI. AI has been a hot topic in recent months, largely due to the attention from tools such as ChatGPT and DALL-E from OpenAI. These tools and future iterations or derivatives will almost inevitably shape the way […]
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 executing stored procedures it may appear simple enough to infer the data types which are being returned. However if those data types aren’t what you’d expect this could have downstream implications for the apps which are consuming the data. If we want to look at data in a table or view we can 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 […]
When creating tables we may choose to use an INT column with an IDENTITY set as a unique clustering value. On occasions we find out that being able to store 2,147,483,647 records just isn’t enough and we need to change this field to be a BIGINT to let us store… well, a lot more. Here I’ll outline one approach which could […]
When writing larger queries which return more fields or join together an increasing number of tables it can be easy for scripts to get unruly. A fundamental skill to help with the readablity of you queries is through the use of Aliases. An alias provides us a was to change how we reference part of […]
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 […]
When joining data in SQL we have a number of options to us including INNER and OUTER joins, but one of the ones I tend to use less frequently is the APPLY operator, specifically the CROSS APPLY and OUTER APPLY operators. As with other types of joins they operate slightly differently and have considerations which should be taken into account when deciding on the output […]
Andy Brownsword 