I recently read an article which stating that since the GDPR came in force, there has been 59,000 data breaches reported in the EU. I must admit, that while I did anticipate that we’d see a surge in these numbers, due to reporting requirements in the legislation. I really did not expect the numbers to look that terrifying.
From the point of view of a SQL Server DBA, there is a number of different ways to protect your data. Some of them are even quite easy to setup, such as Transparent Data Encryption (TDE). So let’s have a look at how to set that up!
About two months back I ended up moving to another job, which has unfortunately kept me to be bit too occupied to find the time to blog, until now. Due to this previously mentioned career change, I have been working quite a bit with monitoring, and it gave me a spark to write this post about my favorite PerfMon counters.
Like most DBAs I rely quite a lot on monitoring, and like most DBAs I too have my own set of PerfMon counters that I rely on to provide me an accurate view of what’s happening in the environment I am administering. In this post, I’ll describe what are my favorite PerfMon counters.
Dedicated Admin Connection is one of the easy-to-forget features in SQL Server that can really save your day. DAC (no relation to Data-Tier Applications, just shares the acronym), as it’s often called, is the way you can try to access a SQL Server instance that is in such a bad shape, that no normal connection is available. This can be due to resource exhaustion or if you happened to create a slightly wonky logon trigger. In this post we’ll look at how you enable Dedicated Admin Connection (for remote users) and how you connect to SQL Server using the DAC.
I recently had a discussion about the ability to offload DBCC CHECKDBs to a secondary database using Active Secondaries in SQL Server Availability Groups. While it is fully possible to run database consistency checks against secondary database (and there’s plenty of recommendations floating around for doing this), it needs to be pointed out that using Availability Groups for this does not equal of running checks on the primary database.
In my previous post about logical joins I wrote about the most common type of SQL Server join, the INNER JOIN. Naturally the logical follow-up is to look at the OUTER JOIN. Syntax for OUTER JOIN is bit different from the INNER JOIN, as you need to define either LEFT, RIGHT or FULL keyword (more about FULL in another post). Unlike the INNER JOIN which only returns rows from the tables if there are equal values in join column, OUTER JOIN will return all the rows from either LEFT or RIGHT even if there is no matching value in the table you are joining.
While back I wrote this blog post about SQL Server joins, the focus back then being in the physical ones. So I figured that now would be a good time to re-visit the topic and look at the logical joins also. Where the physical joins are decided by the SQL Server engine the logical joins are the ones we write. There are quite a few different kind of logical joins, so I will be writing multiple posts about this topic.
I was recently looking at some Execution Plans with a co-worker and we ended up discussing the different types of joins in a SQL Server and what implications they might have when it comes to query performance. While many of us are familiar with writing joins, as we usually don’t query just a single table, there are quite few things about the physical joins that may not quite obvious. In this post our focus will be in the physical joins, but we will also very briefly look at the different types of logical joins also.