![]() Looking at your Business requirements, always try to figure out the data you want to fetch from the database. Verify that the working data set is minimal in size ![]() I would highly recommend you to carefully review the data types for your database objects. ![]() Hence if you have strings which are varying in size, it is recommended to use variable datatype, and in the process can save a lot of storage space.ĭoing your due diligence while selecting your data types can save you from lot of rework and performance bottlenecks at later stages of your application development. VARCHAR(20) is flexible and uses only the storage that is required. Let me explain it with a simple example –ĬHAR(20) uses 20 characters for storing, irrespective of the fact that you actually have to store a value of less than 20 characters. One great tip while selecting your data types is to be aware of the fixed data type (CHAR) vs dynamic one (VARCHAR). Remember that the bigger the data type you use, the more storage it takes. You must ensure that you allocate the right amount of disk space for your data. SQL Server provides a wide range of data types which you can choose from. An improper selection of datatype leads to bad database design and can potentially result in performance issues. It is essential that you choose the best data type to store your data, which aligns with your business requirements. Verify that you have selected the most efficient data type A code review checklist can sometimes become pretty overwhelming, hence I have tried to mention 10 important guidelines which you can adhere to. ![]() In this article, we will look at a few of the SQL Server Code Review Guidelines which you can incorporate into your day to day database development work. Note: To learn why database management requires a systematic approach, please read Different Stakeholders, Different Views: Why Database Management Requires a Systematic Approach article. Having all the common mistakes added to the checklist document is a great way to create awareness and ensure good code quality over a period of time. Catching a bug early in the process is inexpensive and easier to resolve, than compared with a bug caught later in the game. It is essential for developers to be aware of the coding guidelines while working on their code changes. Having a Code Review Checklist is indispensable since it ensures that the best practices are followed and reviews are performed consistently. they are good enough that the changes required are rare and/or small.In a software development life cycle, Code Review plays an integral role in improving the product quality. It’s really a never-ending process, but eventually, your processes become stable. Then try again, review again, over and over. Then you try out the new processes, then review them again. When changing to something new, moving to the cloud, for example, it’s important to think about how your processes might need to be changed and/or expanded. Part of that is going to be collecting information on what information we need, and that will just take time.īut here’s my thought for this post. Now, I’ll guarantee this will correct itself over time, we just need to get better processes in place for the Azure DB creation. I mean how could they be? We keep getting surprised by requests for databases we’ve never heard of, we don’t have security for and have no information about the customer or anything else about it. A whole new team is creating them and of course, their processes aren’t as mature yet. Azure SQL DBs, on the other hand, tend to catch us by surprise. We know what questions to ask, we have forms to fill out, a new server is quickly created, a new instance installed, it’s added to our list of supported instances (depending of course), a new wiki page is added with information on billing, ownership etc, and a script is run that grants us permissions to work with it. We have creating a new SQL Server instance down pat. However, the biggest thing I’ve run into in my company is the need to change our processes. Heck, in Azure SQL DB you can’t even use a USE statement. There are a number of major differences between Azure SQL DB and a regular SQL Server instance. So that leaves Azure SQL Database, and as it happens, my company has started working with it some, in fact we’ve just been doing some training on it today and tomorrow. Well, unfortunately, although I am very excited about it, I don’t have access to Azure SQL Managed Instance yet. For this month’s t-sql Tuesday our host Bjoern Peters ( b/ t) wants us to describe our experiences with Azure SQL Database or Azure SQL Managed Instance.
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