Improve Performance of SQL Query with these Great Techniques

SQL performance tuning can be an extremely complicated task, especially where data in huge quantities is concerned. When implementing queries to insert data in large quantities, even the tiniest of changes can have a major impact on performance – for better or for worse. 

If you are new to databases, you may be wondering what SQL performance tuning is and how you can use it with sound knowledge of the fundamentals and a few tricks up your sleeve. In this blog, you will find some fundamental techniques for SQL tuning to improve performance of SQL query being entered in the database. 

Techniques to Improve the Performance of SQL Queries

Consider these five tips and techniques to enhance database performance – 

Indexing

Indexes are quite effective in SQL tuning but are often overlooked at the time of development. Basically, an index is a data structure that can boost data retrieval speeds in tables by supplying quick random lookups and prompt access to requested records. This implies that once you have made an index, selecting, SQL performance monitoring, and sorting operations are faster. 

They are also useful in defining a primary key that will prevent other columns from having the same values. Naturally, database indexing is a vast topic that deserves its own set of blogs, but for now, it is important to understand that the aim is to index the larger columns intended for searching and ordering.

  • Keep in mind, however, that indexes must be modified after INSERT, UPDATE, and DELETE operations, which means they could actually worsen the performance of the database if your tables are receiving a large number of these commands. 
  • Furthermore, Database Administrators usually discard their indexes before executing gigantic batch inserts involving millions of rows, to hasten the insertion process. Once the task is complete, they then create the indexes all over again. It is important to remember, in such cases, that when the indexes are dropped in this manner, it affects all the queries being executed in that table. Hence, to improve performance of SQL query, this approach is typically taken in certain situations that require a single sizable insertion.

Execution Plan Tool in SQL Server

This tool helps create indexes and it shows all the data retrieval techniques selected by the query optimizer. There are walkthroughs available that will help newcomers learn more about this tool.

  • If you are using the SQL Server Management Studio, you can fetch the execution plan by pressing on Ctrl+M to select the “Include Actual Execution Plan” option before executing your query. This leads to a third tab named “Execution Plan” that will show any missing indexes that it has detected.

Steer Clear of Coding Loops

Suppose you need to insert a thousand queries in your database in one go. In that case, you may be tempted to do it using a loop but you must, in fact, refrain from doing so. 

  • Instead, consider changing the snippets containing the loop in unique INSERT or UPDATE statements that have additional rows and values. 
  • Make sure that your WHERE clause avoids updating the stored value if it matches the existing value. Such a trivial optimization can dramatically improve performance of SQL query by updating only hundreds of rows instead of thousands.

Checking Whether a Record Exists 

This is a handy SQL optimization approach that concerns the use of EXISTS(). 

  • In case you want to know if a certain record is present in the database, make a preference for EXISTS() instead of COUNT(). That’s because EXISTS() can give you much better performance with more coherent code as it leaves the table the moment it gets the data it needs. On the other hand, COUNT() scans the whole table every single time, counting up each and every entry that matches your condition.

How You Need Tuning to Improve MySQL Database Performance

SQL performance tuning is about saving you a great deal of money by improving various aspects of database management. Be it changing inefficient queries or replacing unnecessarily large indexes, tuning your database can really help you regulate your expenses.  

SQL tuning will not only improve MySQL database performance, but it will also help you save multiple resources, whether you operate your database servers on-premises or migrate your data over to the cloud.

Performance Tuning – More Than Just Optimization of SQL Queries

A majority of database professionals mostly focus on ensuring uptime by keeping tabs on the allocation of resources such as storage and memory. These formed a sizable portion of database management until companies started moving their databases to enormous cloud resources like AWS and Azure. 

This gave importance to other aspects like performance tuning in SQL, which DBAs work on once they ensure that things are running somewhat smoothly. However, a lot of database professionals may have to tweak a SQL Server that they aren’t familiar with, and there’s not much help available for such instances. 

Identifying Problem Areas During Performance Tuning

It can get intensive trying to figure out all the issues and resolving them one after another. At first, your problems may not even involve the optimization of SQL queries, and you may begin your search at the user/session-level. 

What some professionals do at this point is, they listen to the users and ask questions such as – 

  • Are there any specific times when the application slows down, for example, when they create an extra ticket or open an active one?
  • Which data takes excessive time to render?
  • How long does saving a record take? (a specific answer may be preferable)

Improve MySQL Database Performance in SQL Server with These Tools

Fortunately, SQL Server has multiple features that can help you improve MySQL database performance with greater convenience. Some of them are – 

Plan Guides

Plan guides enable you to adjust the way SQL Server executes a query, affecting performance. These are especially useful in case of queries written by another vendor, where some experts may not be willing to change them right away, as you can add a query hint to influence its operation. 

However, plan guides may get obsolete over time because the scenario may change after a while but they cannot. To overcome this, make a note of reviewing them from time to time. 

Query Store

This feature helps in the optimization of SQL queries too. It allows the user to determine which queries are taking up the most resources, and then tune them. Apparently, the Query Store feature is not enabled in some SQL databases because the user rarely needs it at first, but enabling it is easy.

Some DBAs are not aware of the Query Store, while others know of it but haven’t explored it enough, so the feature may as well be disabled. They can begin its use once they know how it works so that they can analyze various performance fluctuations caused because of modifications in the query plan.

Database Engine Tuning Advisor

This function examines workflows and suggests indexes or other strategies to improve MySQL database performance. On the other hand, don’t run this tool until your database has sufficient data stored, as the recommendations are more productive at that point. 

It won’t be as useful for a newer application that has, say, only a thousand rows in its tables, than after the app has expanded a bit.

Why DBA Tuning for Oracle SQL Query is Crucial in Databases

SQL tuning is an extensive topic in itself that deserves coverage in books dedicated to stored programming. This is because it is considered as a vital skill for those who create stored programs in MySQL or Oracle.

There are several other reasons as well, which we will discuss in this blog. 

DBA Tuning of SQL Queries – Why They are Important

Take a look at some reasons why SQL tuning is so important – 

  • Those who are not convinced about the importance of DBA tuning need to remember a simple fact that SQL statement execution takes up the most time when stored program execution time is analyzed. 
  • Additionally, a database that is insufficiently tuned or not tuned at all is tremendously slow by comparison. 
  • An untuned database cannot scale well with the growth in data volumes. This means that although your program appears to perform acceptably well at the moment, chances are, it will face serious performance issues in the future without proper tuning.

Database Query Optimization – An Informative Example

Given below is an example that explains the necessity of SQL query tuning in overall system performance. Let us consider a query that performs a straightforward join between two tables:

SELECT sum(sale_value),x.sales_id

FROM tx_10000 x,ty_10000 y

 WHERE x.sales_id=y.sales_id

GROUP by x.sales_id;

As data gets collected every day, the size of the tables also increases. At first, there may not be any visible change in performance, but that will change just after some days. After about seven days, the application will become nearly inoperable if the query plan is not correctly selected by the database SQL optimizer, and that’s when the need for a DBA SQL tuning is realized. 

On closer analysis, the DBA shall uncover a proportional relationship between table size and elapsed time. It is also observed that along with the worsening query performance as the tables expand, there is also an acceleration in the rate of increase.

The DBA may project the estimated time to be around twenty hours as the size of the tables approaches their peak sizes, around a million rows, which is truly a poor performance trend. 

The issue and solution both seem obvious once the SQL statements used in the application are assessed, and the solution is to perform database query optimization by supporting the join with an index, which can be created in this manner: 

CREATE INDEX i_ty_1000 ON ty_1000 (sales_id);

This brings a remarkable improvement in the performance trend, with over 99 percent decrease in elapsed time for the mentioned query. Furthermore, the database is over a hundred times quicker and it can now scale well with the raise in table data volumes. 

In Conclusion

Such dramatic changes cannot be achieved through hardware upgrades, stored program tuning, or any amount of server enhancement. Even if any of these were to be carried out, it wouldn’t make much of a difference in the long run. 

This is because the rapid degradation would ultimately quash any performance improvements attained by other techniques. This is why DBA tuning is more important than any other mode of optimization and should be performed first. 

Oracle or MySQL SQL query tuning is the most essential aspect of application performance in general, so make sure that SQL is tuned before any other sort of optimization activities are carried out.

Improve Oracle Database Performance Tuning with Tosska’s AI-Enabled Tools

improve oracle database performance tuning

Oracle database performance tuning is a crucial method for accelerating the application function and data retrieval process. In order to speed up the performance of the application, the developer or the database administrator has to expedite query response time. This implies that they must have a deep understanding of how well the database is organized and how it satisfies its purpose.

Generally, SQL tuning means minimizing the query plan steps which in turn decreases the wait time and time cost. There are a number of ways you can implement to performance tune your Oracle database. In most of the techniques, you would require changing the source code. However, at Tosska Technologies, you will get products that are AI-based and don’t require touching the source code. Let us introduce you to our amazing products that are extremely helpful in Oracle database performance tuning.

3 Brilliant Tools Offered by Tosska for Improve Oracle Database Performance Tuning

Tosska provides solutions for SQL and database related performance optimizations and improvements. We are one of the very few companies in the world that uses artificial intelligence technology to solve different database performance problems. We help our customers to minimize their hardware investment and increase their level of database application service.

We have enlisted below some tools provided by Tosska Technologies that help to improve Oracle database performance successfully.

  1. Tosska SQL Tuning Expert (TSE™) for Oracle®

It’s an innovative machine or SQL tuning tool that upgrades your SQL statements without involving the user. By just point and click, the tool will help you with the ultimate SQL performance solution. The only thing you are required to do is to enter your problematic SQL statement into the product and press the button.

You are free from doing any testing, guessing or analyzing during the complete SQL tuning process. The enhanced SQL statement will get benchmarked with your original SQL statement side by side without any doubt. It isn’t just another tool but provides users with better statistics analysis, query plan visualization, and more.

2. Tosska SQL Tuning Expert Pro (TSE Pro™) for Oracle®

One of the best parts of having this tool is that it will tune your Oracle database without touching your source code. Surprised? But, it’s true. Tosska SQL Tuning Expert Pro is a tool that helps in upgrading SQL performance without even touching the source code of the program. Besides this, users can even use various other performance query plans for different sizes of production databases without the need of keeping a number of versions of the program source. It is specially designed for package application users who don’t hold the source code of their applications.

With our SQL Tuning Expert Pro, SQL tuning gets even easier for application developers than ever before. You can improve the SQL statement without conducting any time-consuming test, program implementation, and integration test that are essential in the software development cycle. Apart from these brilliant SQL tuning attributes, strong indexes recommendation function is also given that assists users in reviewing and discovering more potential indexes that are extremely crucial but may be missing in the current database schema.

To be more specific, it’s an extremely brilliant and cost-aware index advice engine that lets users analyze their existing database schema- in case any new indexes are available that are helpful in enhancing an assigned SQL workload. The engine is capable of handling up to thousands of SQL statements and offers you a reasonable recommendation that even human experts are not able to accomplish.

3. Tosska In-Memory Maestro (TIM™) for Oracle®

Tosska In-Memory Maestro for Oracle is a tool that automates the process of optimizing In-memory SQL and offers recommendations for In-memory objects for a given SQL workload. Our proprietary artificial intelligence engine is highly beneficial in achieving the aforesaid. The tool also offers a user-friendly In-memory simulation function for users so that they can virtually estimate their in-memory table objects for one or more SQL workload captured from AWR or SGA without actually populating those table objects.

Final Words

Nowadays, most of the highly succeeding companies make use of artificial intelligence to upgrade themselves, then why not you too implement it! With our AI-enabled tool, you can improve oracle database performance easily and in less time. Even, in one of our tools, the source code of the program will remain untouched, yet the problem will be solved. The tools really don’t require the user’s involvement in fixing the queries. Therefore, if you are searching for any such product, then browse our products and get the one that suits you the best.

Tosska Technologies aims at helping users to smooth out the problem with the new and advanced technologies in the market. You should surely give it a try; we assure you will love the product offered by us.