In my first blog post about Python and SQL Server, I gave a very short introduction in how to actually connect and execute a simple query. Today I want to extend a bit on using Python and SQL Server.
As I described in the end of the previous post the ideal scenario is that you inherit the database connection from a single file and then use it whenever and anywhere you want. This makes your code to look cleaner and eliminate redundant work in case you need to change credentials or something else. For that I will show to you how to do it. Read the rest of this entry
Lately I have been studying a bit of Python that I intend to use at work for some projects and also for learning a new language. I would recommend for you to also learn it, because as you know Python is coming to SQL Server 2017. The thing is that with Python you can use in your Machine Learning models, build Websites using some other frameworks such as: Django or Flask and even automate trivial tasks of your daily basis.
However, something that I know from the top of my head now is: Python was not designed in the first hand to deal with Microsoft SQL Server as a backend database. You don’t find lot’s of examples, the documentation sometimes is a bit misleading and errors and more errors that you cannot even imagine. If you search about Python + MySQL, Python + PostgreSQL, you will find lots of examples out there. I am not saying this is bad or anything, but it is just the way it is. Read the rest of this entry
I wanted to share something that I am doing this week at work. One of the applications that I support is generating a lot of transaction log in the database. Just to have an idea, we run Transaction Log backups every 30 minutes and I have backups over 100GB and sometimes 200GB. The difficult part of investigating what is generating that amount of log is because the databases involved are used by at least 3 different applications and streams. So, I remember that in the past I created a simple script that looks at this information in the database and then I may have more inputs of what is really generating that amount of log. Read the rest of this entry