Last time out we tried our hand at implementing partitioning on a table with some data inside it. We looked at creating the partition function, followed by the partition scheme, and then applied that to our table and looked at the results. Following up on that I now wanted to look at how we can manage […]
A little while back we looked at an introduction to table partitioning where we covered the concepts involved in the partitioning. This time out we’ll look at how to implement those concepts to create a partitioned table. As we’re going through the motions for this let’s start off by creating a table and fill it with some […]
A few weeks back we looked at altering an object inside our database and changing the schema in which it resides. Whilst the ALTER SCHEMA … TRANSFER statement itself is straightforward, there are some gotchas you might find as a result of the change which I thought it was worth covering. To set up for what we’re going […]
Last time out we looked at referencing tables across databases. While we of course have the option of using three-part naming to address the table, we also considered views and synonyms as two alternative options. Both of these can be used to achieve similar results. There are elements which they have in common and others which […]
In SQL Server we’ll typically end up using environments containing multiple databases which happen to have data which relate to each other. Due to this there will be times when we’ll need to reference objects in another database when writing a query. What options do we have for doing this? Here we’ll look at three […]
We’ve previously looked at the basics of using schemas in SQL Server where we created a schema and used objects inside of it. If you’re not dealing with new objects though and wanted to move something into or out of a schema how to we go about that? Not by renaming it For renaming most objects within […]
In SQL Server you can use partitioning to split a table into multiple segments based on the data contained within it. This feature can be used to bring improvements to performance and provide more flexibility with maintenance for those tables which are partitioned. The impact of these will be key for large data sets where […]
Given the abundance of data we deal with day to day its increasingly likely that we’ll find ourselves storing items of a more sensitive nature. We may only deal with details sensitive about our business such as suppliers or profitability, but when that increases – for example customer details – then we want to ensure […]
Andy Brownsword 