This content originally appeared on CodeSource.io and was authored by Codesource Staff
Database performance tuning is one of the most important things for every business that relies on online systems. The modern business world relies heavily on different types of data. This data powers its day-to-day operations.
Businesses have to make sure that the data is available and runs efficiently for it to be easily and quickly accessible. However, this is not an easy process. Ensuring that databases are efficient and available is challenging.
That notwithstanding, businesses have to implement different strategies and best practices to ensure that the performance of their databases meets their expectations.
Here are some best practices for database performance tuning;
Adjust Indexes to Reduce Input/Output
Most people start database performance tuning by directly troubleshooting their input/output. However, it is advisable to start by adjusting your indexes and following it up with query tuning. You can also include a single covering index with all your query columns.
Doing this eliminates the need for you to get back to your tables since all the columns can be obtained from your indexes.
Adjusting your indexes to reduce input/output and following it up with query tuning will improve the performance of different areas of your database. This means that optimizing your indexes takes care of other performance issues that you might not even have known about.
Use Specialist Software That Can Show Issues Like Slow Response Times
You can also use different sets of tools when tuning a database. These tools are very efficient when it comes to identifying errors and issues that might be slowing your database. They also offer solution suggestions to help you speed up the process.
When writing SQL statements, for instance, you can use specialist software to analyze the statements and automatically rewrite them to improve the performance of your database. These tools can also optimize your database inputs and identify issues that might lead to things like slow response times.
Whichever specialist software you choose to use, you need to understand that database performance tuning is supposed to help you improve the performance of your database. You, therefore, need a software application that can help you achieve optimal database performance.
Avoid Using SELECT
This is one of the most important things for businesses that have large databases with huge tables, rows, and columns. Using SELECT might slow down your database, keeping all the applications that depend on it waiting for a response.
If you have applications that need access to certain columns, then make sure that these columns are included individually to increase the performance of the applications. You do not have to use SELECT statements that allow you to go for all the data in a table.
It is important to note that you might experience crashed memory or high CPU usage if you read extra data that is not needed. If you are not sure about this issue, your PLC (Page Life Experience) should help you understand the performance of your database.
Avoid Using Leading Wildcards
You might find yourself in a situation where you are forcing a scan through an entire table if you use leading wildcards. This does not even matter whether you have the indexed fields inside the table or not.
Having your database engine scan the entire table – this includes all the rows you have in the table – when looking for a certain entry will negatively affect the delivery speed of your database.
Scanning all the data in your database engine memory can also affect parallel queries. This will lead to poor utilization of your CPU. It will also prevent other queries from running in the memory. The final effect will be slowing down the performance of your database.
Avoid Your Estimated Execution Plan
One of the most important things to do when preparing your database queries is to make sure that you have an estimated execution plan. This is because it allows you to get insights into how your database might run.
However, you need to be careful when using your estimated execution plan as you might have different parameters blinded such as data types that might not be correct.
If you want your database to return the right results when doing performance tuning, you need to avoid your estimated execution plan and instead use real execution plans. This is because the real plans use accurate and the latest statistics.
Database performance tuning is one of the most important things for businesses that rely on data to run their daily operations. The best practices discussed above are essential in helping them (businesses) achieve optimal performance with their databases.
This content originally appeared on CodeSource.io and was authored by Codesource Staff
Codesource Staff | Sciencx (2022-10-20T13:51:16+00:00) 5 Best Practices for Database Performance Tuning. Retrieved from https://www.scien.cx/2022/10/20/5-best-practices-for-database-performance-tuning-3/
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