5 Great Ways to Help You Improve MySQL Database Performance

There have always been numerous discussions about SQL performance and optimization in the field of database management. That’s because it is an incredibly complicated task, especially when it comes to large-scale data where the slightest variation can bring drastic changes to the entire database’s performance.

Improve Performance of SQL Query with these Excellent Tips

Even though it might not seem at first, SQL programming can be surprisingly deceptive when it comes to the outcome.

Therefore, make sure you have the best tips to improve MySQL database performance handy whenever you need them to tune your database. Given below are five such tips:

 

Tip #1 - Use the Execution Plan to Improve Performance of SQL Query

How? Simple - use it to write indexes. One of its major functions is to show information in a graphic format after fetching it from the database.

You can retrieve the execution plan by pressing Ctrl+M or clicking on the option that says “Include Actual Execution Plan” in SQL Server Management Studio before executing the SQL statement. Right-clicking on the tab that appears will lead you to all the details of missing indexes.

 

Tip #2 - Give Preference to CASE over UPDATE

Using CASE instead of UPDATE might take some getting used to because, for several developers, UPDATE simply feels natural to use. However, an UPDATE query needs to be run twice each time, hindering performance.

To fix this, CASE is used in the query and the state is set to “Preferred” so there are no effects on performance.

 

Tip #3 - Improving Query Checklist

Placing several tables in one JOIN operation leads to multiple issues. To overcome these, it is recommended to complete half the JOIN with fewer tables and caching the outcome in a makeshift table. You can then complete the statement on the temporary table. 

 

Other steps include -

● Running UPDATE STATISTICS to improve MySQL database performance by scheduling data optimization every week.

●       Reconstructing tables and indexes

●       Performing SQL database dump

●       Executing DBCC helps detect possible database corruption

●       Archiving or deleting redundant or unnecessary records

 

Tip #4 - Place Restrictions on the Size of the Working Data Set

Check whether any filters can be inserted in the WHERE statements. This will prove useful in the long run because as time passes, the database grows considerably larger, so it will take just as much time to search throughout the database even if you only have to look at data from a certain period of time.

Tip #5 - Eliminate Outer Joins

This can vary on the user’s scope for modifying content in the tables. One probable solution is to get rid of any OUTER JOIN, something you can do by inserting placeholder rows in both tables.