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Top 10 SQL Query Optimization Tips to Improve Database Performance

5 minutes, 18 seconds read

SQL Query optimization is a process of writing thoughtful SQL queries to improve database performance. During development, the amount of data accessed and tested is less. Hence, developers get a quick response to the queries they write. But the problem starts when the project goes live and enormous data starts flooding the database. Such instances slow down SQL queries response drastically and create performance issues.

When working with large-scale data, even the most minor change can have a dramatic impact on performance.

SQL performance tuning can be an incredibly difficult task. Even a minor change can have a dramatic impact on performance. Here are the 10 most effective ways to optimize your SQL queries. 

  1. Indexing: Ensure proper indexing for quick access to the database.
  2. Select query: Specify the columns in SELECT query instead of SELECT* to avoid extra fetching load on the database.
  3. Running queries: Loops in query structure slows the sequence. Thus, avoid them.
  4. Matching records: Use EXITS() for matching if the record exists.
  5. Subqueries: Avoid correlated sub queries as it searches row by row, impacting the speed of SQL query processing.
  6. Wildcards: Use wildcards (e.g. %xx%) wisely as they search the entire database for matching results.
  7. Operators: Avoid using function at RHS of the operator.
  8. Fetching data: Always fetch limited data.
  9. Loading: Use a temporary table to handle bulk data.
  10. Selecting Rows: Use the clause WHERE instead of HAVING for primary filters.

SQL Query Optimization Tips with Examples

Tip 1: Proper Indexing

An index is a data structure that improves the speed of data retrieval operations on a database table. A unique index creates separate data columns without overlapping each other. Proper indexing ensures quicker access to the database, i.e. you’ll be able to select or sort rows faster. The following diagram explains the basics of indexing while structuring tables.

SQL query optimization - basics of structuring tables

TIP 2: Use SELECT <columns> instead of SELECT *

Specify the columns in the SELECT clause instead of using SELECT *. The unnecessary columns place extra load on the database, which slows down not just the single SQL, but the whole system.

Inefficient

SELECT * FROM employees

This query fetches all the data stored in the “employees” table such as phone number, activity dates, notes from sales, etc. which might not be required for a particular scenario.

Efficient

SELECT first_name, last_name, mobile, city, state FROM employees

This query will fetch only selected columns.

Tip 3: Avoid running queries in a loop

Coding SQL queries in loops slows down the entire sequence. Instead of writing a query that runs in a loop, you can use bulk insert and update depending on the situation. Suppose there are 1000 records. Here, the query will execute 1000 times.

Inefficient

for ($i = 0; $i < 10; $i++) {  
  $query = “INSERT INTO TBL (A,B,C) VALUES . . . .”;  
  $mysqli->query($query);  
  printf (“New Record has id %d.\ “, $mysqli->insert_id);
}

Efficient

INSERT INTO TBL (A,B,C) VALUES (1,2,3), (4,5,6). . . .

Tip 4: Does My record exists?

Normally, developers use EXITS() or COUNT() queries for matching a record entry. However, EXIT() is more efficient as it will exit as soon as finding a matching record; whereas, COUNT() will scan the entire table even if the record is found in the first row.

Inefficient

IF (SELECT COUNT(1) FROM EMPLOYEES WHERE FIRSTNAME LIKE ‘%JOHN%’) > 0 PRINT ‘YES’

Efficient

IF EXISTS(SELECT FIRSTNAME FROM EMPLOYEES WHERE FIRSTNAME LIKE ‘%JOHN%’)
PRINT ‘YES’

Tip 5: A big NO for correlated subqueries

A correlated subquery depends on the parent or outer query. Since it executes row by row, it decreases the overall speed of the process.

Inefficient

SELECT c.Name, c.City,(SELECT CompanyName FROM Company WHERE ID = c.CompanyID) AS CompanyName FROM Customer c

Here, the problem is — the inner query is run for each row returned by the outer query. Going over the “company” table again and again for every row processed by the outer query creates process overhead. Instead, for SQL query optimization, use JOIN to solve such problems.

Efficient

SELECT c.Name, c.City, co.CompanyName FROM Customer c LEFT JOIN Company co   ON c.CompanyID = co.CompanyID

Tip 6: Use wildcard characters wisely

Wildcard characters can be either used as a prefix or a suffix. Using leading wildcard (%) in combination with an ending wildcard will search all records for a match anywhere within the selected field.

Inefficient

Select name from employees where name like ‘%avi%’

This query will pull the expected results of Avishek, Avinash, Avik and so on . However, it will also pull unexpected results, such as David, Xavier, Davin.    

Efficient

Select name from employees where name like ‘avi%’.

This query will pull only the expected results of Avishek, Avinash, Avik and so on. 

Tip 7: Avoid using SQL function on the RHS of the operator

Often developers use functions or methods with their SQL queries. 

Inefficient

Select * from Customer where YEAR(AccountCreatedOn) == 2005 and  MONTH(AccountCreatedOn) = 6

Note that even though AccountCreatedOn has an index, the above query changes the WHERE clause in such a way that this index cannot be used anymore.

Efficient

Select * From Customer Where AccountCreatedOn between ‘6/1/2005’ and ‘6/30/2005’

Tip 8: Always fetch limited data and target accurate results

Lesser the data retrieved, the faster the query will run. Rather than applying too many filters on the client-side, filter the data as much as possible at the server. This limits the data being sent on the wire and you’ll be able to see the results much faster.

Tip 9: Drop index before loading bulk data

If you want to insert thousands of rows in an online system, use a temporary table to load data. Ensure that this temporary table does not have any index. Since moving data from one table to another is much faster than loading them from an external source; you can now drop indexes on your primary table, move data from temporary to the final table, and finally recreate the indexes.

Tip 10: Use WHERE instead of HAVING

HAVING clause filters the rows after all the rows are selected. It is just like a filter. Do not use the HAVING clause for any other purposes. 

In the SQL Order of Operations, HAVING statements are calculated after WHERE statements. Therefore, executing the WHERE query is faster.

Hope you enjoyed reading these tips for SQL query optimization. If you have any questions, feel free to drop a comment or write to us at hello@mantralabsglobal.com.

You can learn more about SQL queries and syntax at W3Schools tutorial.

About Author: Avishek Kumar Singh is a Senior Tech Lead at Mantra Labs —  a leading application development service provider in insurtech and e-commerce domains. He has years of experience in developing robust web and mobile applications for enterprises.

Suggest reading – LAMP/MEAN Stack: Business and Developer Perspective

Common FAQs

What is SQL optimization?

SQL optimization is a process of using SQL queries in the best possible way to get accurate and fast database results. The most common database queries are INSERT, SELECT, UPDATE, DELETE, and CALL. These are coupled with subqueries to filter the results. This is where people need to think of optimization to get accurate results with fewer resources and improve database performance.

What is SQL query tuning?

SQL optimization is also known as SQL query tuning. Basically, it is a process of smartly using SQL queries to increase the speed of fetching data and improve overall database performance.

What are the different query optimization techniques?

There are two most common query optimization techniques – cost-based optimization and rule (logic) based optimization. For large databases, a cost-based query optimization technique is useful as it table join methods to deliver the required output. Rule-based optimization combines two or more queries based on relational expressions. The following example illustrates rule-based query optimization.
rule-based query optimization

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How To Get Design Inspiration?

3 minutes read

Did the egg come first or the chicken, it makes you go round and round in circles. That’s the feeling you get when you start designing something new. 

Inspiration can come from everywhere, especially if you are a designer. To create your finest design, you must get into the nitty-gritty of everything. I began my journey as an interior designer which gave me an edge when I transitioned to UI/UX Design. When we start working on projects, the first thing we do is construct a mood board. But for me, the challenging part was deciding what was good or bad and what worked in the real world.

So, I began with extensive thought about the problem at hand, followed by conceptual visualizations of all possible solutions. It seems intimidating, but it worked for me. I’d later project all those things from my imagination onto the screen. This process didn’t always produce viable solutions, which was a major problem to cope with. After all, what’s the purpose of having a good design if it doesn’t work? So, I merged this approach with swiping and gathering inspirations that I loved by favoriting my way through multiple sites to create a perfect Mood Board.

Next, was putting the mood board into action and creating something unique.

And, in my opinion, this is the most basic process chosen by designers.

Then I joined Mantra Labs, which was intimidating since I went from being a loner to being a loner in a group. From analysing my own ideas to working with a group of amazing designers who don’t hold back on their criticisms. (They never stop talking :P.) It was also intriguing to observe every designer as each one had a different approach to getting design inspiration and it was reassuring to know that there is no right or wrong way. It can come at any moment, anywhere, and in any form; all you have to do is enjoy the experience because it’s a Pandora’s Box, where you get lost and then come out with something amazing you weren’t expecting to find.

I try browsing design websites and talking to others about their work to get insights. And I can say that I’m definitely getting better as a designer day by day- the key is to stay curious and explore new things.

Here is a compilation of some wonderful exercises I intend to try on my projects as soon as I have the opportunity.

Create a lot of opinions and then pick the best one.

Creating a lot of different variations for one project and then critiquing it to bring it down to one which you like. 

Take a counter intuitive path

Going crazy with the thought process, and breaking the stigma of keeping basic, and crazy is fun, and it might surprise you.

Inspiration outside

This includes everything we have done or do on a regular basis, such as opening a bottle or flicking through the pages of a book.

Try apps in your category

Like for an education app, look for inspiration on social media, in travel, or something else.

Visit design websites

As you examine different types of designs, it inspires you and gives you a bank of ideas; all you have to do now is learn how to use those ideas on time and on the right project.

Ask a friend

This is one of the best ways to get better insights and diverse perspectives which can be very helpful.

Conclusion:

The exercises listed above may or may not work for you because there is no perfect science to getting creative inspiration.  Lorinda Mamo once stated, “Every great design begins with an even better story.” So, in order to find design inspiration, you must first find the story. Keep experimenting with different ways; you never know what might work for you.

About the author: Neha is a designer at heart who walks and talks too fast and is always willing to try new things, whether in business or in life.

Want to know more about designing?

Read our blog: 5 Things to Consider while Designing an App for Gen Z’s

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