Database Performance Tuning Best Practices for the Next Level

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Database Performance Tuning

It is a big question among the DBAs as to how important database performance tuning is? As we know now, the business world essentially runs on various types of data. In order to ensure that the data is quickly and easily accessible for all beneficiaries, it should be running very efficiently and should always be available. However, in a real-time scenario, ensuring the availability and efficiency of databases can be challenging to ensure optimal database performance.

There are many reasons why databases do not perform well. However, database experts agree to the fact that the SQL performance issues are more or less the same as a result of some ineffective indexing practices and poorly returned queries. This is an area where the importance of performance tuning comes into play. Performance tuning makes the SQL statements run effectively and smoothly to take the quickest route to answer the queries. However, deciding where to start the performance tuning and whether it is needed could be challenging.

Refine your approach to DB performance tuning

Your approach to performance tuning of the databases may depend on the actual performance issues which you try to address. There is no such one-size-fits-all type of performance tuning tools and solutions. Instead, you need to follow a few best practices that will help you enhance your databases’ efficiency and speed. While getting started with the performance tuning process, it is also helpful to understand exactly what types of issues you are dealing with before you dig deeper. Here we are discussing the top performance tuning practices for database administrators, which will cover the basics all the way through automation procedures.

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  1. keep the statistics up to date

Statistics are effectively used to generate perfect execution plans for performance tuning. There are high-end performance tuning tools, but if they use outdated statistics, such plans cannot be optimized to meet current challenges.

  1. Do not use the leading wildcards

Wildcard parameters may force a full table scan even if the indexed fields are there inside the given tables. If database engines need to scan all the rows in a table in order to find a particular entry, then the delivery speed may go down significantly. The other parallel queries may also suffer from this type of scanning the entire data in the memory. It will also end up in optimum CPU utilization and will not allow other queries to run in the memory.

  1. Avoid SELECT

This is an important thing to consider if you have large tables with hundreds of columns and rows in your database. If an application only needs to consider a few columns, then include them individually as the best practice instead of wasting your time going for all the given data. Also, reading extra data may cause higher CPU utilization, and memory may be crashed. You should also check the Page Life Experience or PLC to ensure that you are not having this issue. For database tuning best practices, consult with experts.

  1. Use the constraints

Constraints are effective ways to expedite the queries and help the SQL Optimizer to come up with the best available execution plan. However, improved performance may come at a cost. Increasing the query speeds may also be depending on your business objectives, but it is important to be aware of the cost of the same.

  1. Do look at the real execution plan and not the estimated one

It is helpful to have an estimated execution plan while you are writing the queries as it will give you a complete preview of how the plan may run, but it may further blind the parameters as the data types, which could be wrong. In order to get the best results while doing performance tuning, it is better to review actual execution plans as they may use the latest and the most accurate statistics.

  1. Adjusting the queries and making only one small change at a time

Making a lot of changes simultaneously may tend to mess up things. A more efficient approach for query tuning for optimal performance is to make the changes of the most expensive operations first and then work down from there, one at a time.

  1. Adjust the indexes for reducing I/O

Before you dive into the troubleshooting of input/output directly, you should first try to adjust the indexes and then do query tuning. You must also consider one covering index, which includes all the columns in the queries, and this way, it can also reduce the need to go back to the table as it may get all columns from the indexes. Adjusting the indexes and query tuning may have a big impact on all areas of database performance. So, when these are optimized, there may be many other performance issues also which may get resolved along with it.

  1. Analyze the query plans

You may utilize advanced artificial intelligence tools to analyze the query execution plan and determine how the changes will help the database execution operations be more efficient. There are plenty of such analysis tools available which you can explore and use the ideal ones.

  1. Compare the original SQL and optimized ones

While optimizing the SQL queries, make sure to highlight all the SQL statement changes so that you can compare the actual statement with optimized versions. Always gather the baseline metrics like the logical I/O in order to compare it against the output as you go. Do not ever make changes until you are completely sure of the accuracy of the optimized version.

  1. Automate the SQL optimization

You should also try to optimize the SQL automation using tools. This will not only help to analyze the SQL statement, but it can also rewrite it automatically. It will also help optimize the intakes and still find the variations that create the improvement in query execution time.

While considering the above factors, you need to understand that performance tuning is the key to improving your database performance. By focusing on optimizing the queries and indexes can clear a large chunk of your performance issues instantly. Doing this may not require any heavy lifting. Doing database performance tuning regularly will help you ensure your database’s high availability and faster response times. This is a must-have for today’s enterprises and end-users.

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Roy M is a technical content writer for the last 8 years with vast knowledge in digital marketing, wireframe and graphics designing.

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