How to Use Professional Software to Boost Database Performance

How to Improve Database Performance With Professional Software

As a database administrator, you’re probably used to receiving a barrage of phone calls about slow online performance. If your systems are slow or unresponsive, the easiest way to increase database performance is to execute optimization and tuning tasks. Performance optimization can assist you in identifying bottlenecks and ensuring that your infrastructure is capable of handling increased traffic.

If you want to improve database speed, you can do a few things to avoid and correct problems. The following tuning suggestions will help you improve database speed and keep your environment up and running. Tips for strengthening database speed for MySQL, SQL Server, and Oracle are included in this book.

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How to Improve Database Performance

1. Establish baselines

Maintaining a performance baseline is essential for practical tuning since it provides a point of reference for when an issue arises. Baselines allow you to quickly and easily identify peak usage periods, define performance goals and acquire a thorough grasp of system capabilities. Measuring current performance regularly will provide you with clear expectations for how your database should operate. It is helpful for fine-tuning bottlenecks that may develop in the future.

2. Make use of the AWR (Automatic Workload Repository) tool.

Ensure you’re using the automatic workload repository (AWR) function as an Oracle monitoring tool if you want to optimize Oracle database performance. AWR collects, analyses, and maintains performance statistics, providing you with daily information about the health of your database. Can then use the Automatic Database Diagnostic Monitor (ADDM) offered by Oracle to acquire actionable insights into AWR statistics. You can considerably improve Oracle database performance, strengthen your tuning abilities, and save time and money in the long run by combining AWR with ADDM.

3. Make the best indexes possible

Indexing, when done correctly, can help you reduce query execution time and enhance database speed. Indexes create a data structure to help you stay organized and quickly access information. Indexing improves data retrieval efficiency while saving you time and effort.

4. Perform SQL tuning

Because data is returned when a query is sent, SQL is commonly regarded as a message language. On the other hand, client solutions frequently generate inefficient SQL queries, which can harm your database’s speed. When performing performance tweaking, keep in mind SQL that uses many system resources. If you want to optimize the performance of your Oracle database, you can use Oracle SQL tools like the Query Optimizer. You may improve performance tweaking and ensure your SQL is running correctly by keeping a check on your SQL processing engine.

Utilizing a query optimizer is still helpful if you want to boost SQL Server or MySQL performance. Poorly constructed SQL queries are the most common source of performance issues. You’ll run into a few roadblocks when you try to improve those queries. It could entail considering whether to use IN or EXISTS and whether to write a join or a subquery. Query optimizers are a low-cost alternative consulting service that can considerably speed up SQL queries. Many query optimizers also explain their recommendations, which can help you improve your query optimization skills.

5. Examine Your Stats

Checking your statistics frequently is crucial when tweaking SQL Server, MySQL, or Oracle performance. Because performance tuning entails much more than merely correcting performance issues, you should always have Access to a complete collection of database, operating system, and application metrics. Performance tuning is an essential component of application maintenance throughout its lifecycle. To do this, you should review your data regularly and improve the process of gathering and presenting them as your firm evolves and grows.

The indications of performance issues are frequently visible in the statistics, which is why it’s critical not to disregard the stats—they play a crucial role in the efficiency of your performance tuning.

6. Make the most of your computer’s processing power.

If your database’s diagnostic features cannot resolve a specific issue, manual performance optimization may be required. If you’re looking into a situation like this, ensure your CPU is being used properly. Begin by looking at CPU usage in the user area. It will check for non-database tasks currently utilizing CPU, limiting the number of shared CPU resources. It’s easier to fix performance issues once you’ve finalized your CPU utilization. It can also assist you in making more informed decisions.

7. Check the Database Version.

Staying up to date is critical whether you’re seeking to optimize MySQL, Oracle, or SQL Server database speed. A query may perform better in earlier versions than in newer versions, although newer versions generally perform better. As a result, an up-to-date system is more likely to have more consistent performance.

8. Consider upgrading your CPU.

As previously said in this book, the better your CPU, the faster and more efficient your database will be. As a result, if your database isn’t performing as well as it should, you should upgrade to a higher-class CPU unit. When dealing with several requests and programs, a more powerful CPU will be less stressed. Furthermore, you must keep track of all performance elements when evaluating your CPU performance. It should contain CPU-ready times, which show when your system attempted to use the CPU but could not do so due to the CPU’s resources being used elsewhere.

9. Increase Memory Allocation

A lack of memory, like a lack of CPU, can hurt the efficiency of your database. If there isn’t enough memory available, the database may be unable to accomplish its required tasks, resulting in a drop in database performance. Increasing the amount of memory available to your database will improve its performance and the overall efficiency of your system.

Examine how many page faults your system has to see whether you need to allocate more memory. Your hosts are running out of available memory space if the number of spots is high (in the thousands). As a result, when trying to increase database speed, you should think about how much overall memory you have and how many page faults you have. This procedure will reveal whether or not allocating more RAM would enhance efficiency.

10. Defragmentation is an option to consider.

Data defragmentation could be a good solution if your database is slowing down. When many records are written to a database, the documents can get fragmented in internal data files and on the disk as time passes. Disk defragmentation allows for pertinent grouping data, which speeds up I/O processes. It has an immediate impact on database and query performance. When running your database, it’s also critical to ensure you have enough storage space. To enhance database speed significantly, you should combine disk defragmentation with ensuring you have enough storage space.

11. Select the Correct Disk Types

Even retrieving the results of a single query may necessitate millions of disk I/O operations. The number of operations required is directly proportional to the amount of data the question must access for processing and the amount of data the query returns. As a result, the type of disks in your server might significantly impact query performance. The use of SSD storage can boost query and database performance.

12. Examine Access

After you’ve confirmed that your database hardware is in good working order, you should look at which applications are accessing your database. If one of your services or applications is performing poorly, don’t make any assumptions about which application is to blame. Several factors can contribute to or affect database performance. It’s possible that the database is infected or a single client is suffering performance issues.

If all of your database’s clients are experiencing bad performance, you should check to see if your host is in good shape. In this case, your gear is most likely struggling to keep up with the demand. If a particular service is suffering slow response times, look into the analytics for that service to see what’s causing the issue.

13. Recognize Service Instance Load and Response Time

Take a deeper look at how a particular service communicates with the database if it suffers from poor performance. You ought to look into the following:

• Which queries are carried out?
• How many rows are returned by queries?
• How frequently are the questions run (per request)?
• Are all instances of a single service affected, or just some, if you run numerous examples of the same service?
• Is there any reason should run a query several times for each request?

Keep in mind that database-related problems could have their origins elsewhere, and the source of the problem could be related to how the database is accessed. When you analyze how many queries are called for each request, you might be able to reduce the number of database queries by improving your service’s database cache. Effective caching solutions may be beneficial if you discover a compelling reason for a single question to run multiple times per request. In some circumstances, these tactics can significantly improve performance.

14. Don’t Forget About Your Network

Physical restrictions on virtualized infrastructure are easy to miss, yet they significantly impact performance. Cables, routers, and other hardware can, unfortunately, fail. If faults develop abruptly after months of trouble-free operation, your infrastructure may be having a physical problem. You should double-check your routers, cables, and network interfaces to be sure. If you examine these components as soon as you notice a problem, you’ll have the best chance of repairing it before it affects your business.

Overworked or overburdened processes frequently drop packets as their resources run out. If your network problem isn’t due to a hardware issue, process-level visibility can help you locate a failed component.

About Enteros

Enteros offers a patented database performance management SaaS platform. It proactively identifies root causes of complex business-impacting database scalability and performance issues across a growing number of clouds, RDBMS, NoSQL, and machine learning database platforms.