Data production and maintenance have to be updated all the time. And optimization of SQL queries is the most important responsibility to keep the performance strong without facing any errors.
This post shows all the valuable techniques of database optimization to help you keep your services running consistently.
1. Get clear with your SQL performance requirements
SQL optimization gets easier when you align it with your business strategy. Evaluating business requirements will help you understand which SQL queries require optimization and tuning.
You can begin the process by including your relevant stakeholders. Talk to multiple stakeholders and discuss the required queries. In all these meetings, you need to include your database optimization service providers as well.
Find that unique purpose your business serves the market with. Do you face the problem of duplicate reports?! Is there a need for managing the production database?! Similar questions will help you identify the purpose of your business and the associated SQL performance tuning requirements.
After listening to the stakeholders, shift your focus towards the intended audiences as well. The requirements of your audiences will clearly describe the scope and functions required in SQL database. This way, you can define queries in a prioritized sequence.
When writing requirements of your business, make sure you stay as specific as possible. This will reduce the complications when turning the requirements into SQL queries. Avoid any ambiguous statements of complexity in requirements.
2. Use SELECT instead of using SELECT *
With SELECT *, developers get all the data available in a table and run exploratory queries. This can take a complicated turn if the data in your table have too many rows and fields. The addition of unnecessary data makes fields difficult to handle.
With SELECT, developers can prioritize the data inclusion. This way, each query meets a specific requirement of your business. Prioritized information keeps queries clean and high performing.
3. Select a higher number of fields to reduce processing power
In order to get rid of duplicated, SELECT DISTINCT is used in queries. But the problem with this is the required amount of power for processing. SELECT DISTINCT utilizes grouping of fields in order to obtain distinct results.
To save processing power, you can focus on selecting as many fields as possible to obtain and generate unique results without using SELECT Distinct at all.
4. Prefer INNER JOIN over WHERE to create joins
If joins contain WHERE as a clause, it generates a Cartesian type of join every single time. In a Cartesian or a CROSS JOIN, the query gets all potential combination settings of the available variables. For instance, a join of 1000 sales and 1000 customers starts with the generation of 1,000,000 results. Then, the filtration occurs gradually. This makes database slow in terms of performance. Your database can work a hundred times better if you utilize INNER JOIN. This way, you can save from wasting database resources.
In many database management systems, you get an automated shift from WHERE to INNER JOIN. However, this property is limited to a few database management systems only. This is why you need to choose wisely.
5. Utilize WHERE over HAVING for filters
A well-optimized query uses the required data only. This is another step towards that goal. In each SQL order, all the HAVING statements are counted after the calculation of WHERE statements. Condition-based filtration gets easier if you use WHERE statements. Eliminating the HAVING clause brings efficiency to the filters.
6. Use end wildcards only
Wildcards are used to search for plain text information such as names, cities, and others. This allows a wide range of search options. But the search inefficient if you use leading wildcards as well as ending wildcards. This combination restricts database’s performance, as the search process involves all the available records that come within the leading wildcard and the ending wildcard.
When you use ending wildcards only, it makes the search process efficient.
A final tip would be to find professional database and SQL performance tuning providers. If you have a huge database, professionals can help you save money, time and efforts. And it all comes with high performing SQL queries.
Hopefully, this post has helped you with SQL performance tuning and optimization. You should contact professionals for specific requirements.