Microsoft SQL database optimization is a constant struggle for any project, and this is something that Apriorit tackles often as an R&D outsourcing company. The thing is, when developing an application, initially engineers tend to point all their attention towards actually writing the code, while performance takes the back seat. Often, performance problems are caused by the speed at which the data from the application is received. Some problems can creep past the MVP stage and only became apparent when your solution is fully released to the general public.
This is why it is necessary to estimate what problems could occur and try to fix them early at the design stage, or at the very least when optimizing the database query.
In this article, we will look at techniques for Microsoft SQL server database design and optimization. We will explore how to work with databases in order to get the maximum amount of information for the least amount of time and see what problems we can avoid by applying optimization best practices for SQL server database design. While this article is based on designing database solutions for Microsoft SQL server, the majority of techniques can be applied to other relational databases as well, including custom ones.
Database optimization methods
1. Indexes
Indexes are an essential part of Microsoft SQL database design, as they are the first thing that can help with optimization. However, despite being one of the best performance optimization techniques, it is necessary to remember that index creation can have its drawbacks. We need to understand how indexes work. Let’s look at the following points that arise when using indexes:
- Indexes are speeding up the SELECT operation that allows read data from the table, but they can also slow down operations that allow to edit data, such as INSERT, UPDATE and DELETE. Therefore, before creating an index you need to understand the purpose of the table and decide on performance, of which operations you need to focus.
Full article:
4 techniques for Microsoft SQL database design and optimization
Written by:
Anastasia Shapoval,
Software Developer at Apriorit
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SQL execution tuning is an unending battle.
Find Slow Queries With SQL DMVs
One of the enormous features of SQL Server is most of the dynamic organization sees (DMVs) that are fused with it.
SELECT TOP 10 SUBSTRING(qt.TEXT, (qs.statement_start_offset/2)+1,
Right when - 1 THEN DATALENGTH(qt.TEXT)
Demand BY qs.total_logical_reads DESC - real examines
If application works with a database, query execution time should be taken into consideration.
But I decided to share my own experience in the field with the focus on SQL Server query optimization tips.
Depending on a specific case, this task can have varying starting conditions:
You already know what query runs slowly;
You only know that your entire system has generally poor performance that requires some tuning.
You can run SQL Server Profiler from SQL Server Management Studio: go to Tools > SQL Server Profiler
