Efficient ways to write SQL Queries

19 August 2021

SQL is one of the command languages which allows you to store and retrieve data from the database and perform operations. We all know the importance of a database in any application. This is the place where a users’ information gets stored and retrieved as per the wants. The performance of the database matters a lot when it comes to choosing a database and writing the queries for a selected task/operation.

In this blog, we will discuss some rules that will help you build your SQL faster and more efficiently. It is also important to write down effective SQL queries in development. Effective questions give quick results. When SQL queries improve your app performance it quickly saves tons of your time. It is easy for both database managers and SQL developers as well. You must have a fast SQL server to see quick, efficient and reliable data queries.

1. Use Temp Tables:
   When writing SQL queries the UPDATE statement writes longer in the table compared to the CASE statement, due to its entry. The Inline CASE statement selects preferences before writing them on the table, which ultimately increases the speed.
2. Avoid Using Another Developer’s Code:
   When writing SQL queries the UPDATE statement writes longer in the table compared to the CASE statement, due to its entry. The Inline CASE statement selects preferences before writing them on the table, which ultimately increases the speed.
3. Avoid Negative Searches:
   Bad search slows down your DB performance significantly. To avoid this, you can rewrite the questions with better indicators, especially if you are dealing with a large amount of data.
4. Use The Exact Number of Columns:
   When writing the selected statement, be sure to write the correct number of columns in comparison with as many lines as you want. This will speed up your query, and will speed up your processes.
5. Avoid Using Globally Unique Identifiers:
   By ordering table data, avoid using GUIDs as much as possible. GUID’s may quickly break your desk. You can use IDENTITY or DATE for an amazing startup that only takes a few minutes.
6. Use CASE instead of UPDATE:
   When writing SQL queries the UPDATE statement writes longer in the table compared to the CASE statement, due to its entry. The Inline CASE statement selects preferences before writing them on the table, which ultimately increases the speed.
7. Avoid Using Triggers:
   Cause is not necessary to use in SQL queries. Whatever you plan to do with your data, go for the same interaction as before. Effects are used that cause locking of multiple tables until the bullet completes the cycle. You can separate data by several transactions to lock certain services. This will help you to speed up your transactions.

8. Avoid Using ORM:
   Using ORM (Object Relational Mapper) will give you the worst code in the world of technology. You will get the wrong performance for your daily meeting. If you can’t avoid it completely, limit it by writing down processes that are completely yours, and ORM use your own instead of what it creates.

9. Create Small Batches of Data for Deletion and Updation:
   Instead of deleting and updating data in bulk, they create their own small collections. In the event of a reversal, you will avoid losing or killing your data. It also improves revenue consolidation, because the data you delete or update outside of your component continues to perform other functions.

10. No Need to Count Everything in the Table:
    To check the existence of some data, you need to carry out an action. People often try this:

    SET @CT = (SELECT COUNT (*) FROM dbo.T1);If @CT > 0BEGIN <Do something>END

    Writing the above statement is unnecessary and it just wastes a lot of time. Instead of the above statement, you can write the statement given below…

    If EXISTS (SELECT 1 FROM dbo.T1)BEGIN<Do something>END

    From the above method, you can avoid counting every item on the table. When you use EXIST, the SQL server recognizes it and gives faster results.

11. Avoid Using Distinct Keyword:
    You should always try to avoid using the DISTINCT keyword. Use of this keyword requires additional performance. This will reduce all the questions and make it harder to find what you need.

12. Use Fewer Cursors:
    Cursors cause a lot of problems, especially speed. Again, they are reasons for the ban as well. One task can block other tasks. This can affect the integration of your system, slowing everything down.

Conclusion

We have discussed twelve tips for writing effective SQL queries. It’s not limited here. You can use saved processes to work better. Also, you can distinguish large and small transactions. Calculate your lines using the system table and reduce the combined views to reduce lags.  These tips are very helpful in improving the performance of your SQL server.

As you progress through writing more questions, you will learn how things or questions can be improved. Recognizing the code of some engineers also helps in writing effective questions. I hope all of these tips help in writing better SQL queries.