What Optimization in SQL is, and Why It’s Necessary for DBAs

SQL statements or queries are designed to retrieve information from the database. A user can achieve the same results through optimization in SQL; using a tuned query is especially useful from an execution perspective. 

Tuning a database is a vital step in organizing and accessing the information in a database. Performance tuning in SQL requires streamlining and homogenizing the environment of a database and the files in it. This simplifies the way users access data in a big way. 

Why Companies Need to Consider Optimization in SQL

Several organizations own databases, but not all of them hire IT staff knowledgeable in the ways of optimization in SQL. Only professionals who have tuning skills and experience along with insider information about the working of databases should do this. 

In case your company has a database but it hasn’t undergone performance tuning, you might encounter inadequate responses to queries and face unnecessary complications when handling data. Don’t let your efficiency get affected because of something avoidable like this! 

Performance Tuning in SQL: What It Involves

Tasks related to performance tuning include optimization in SQL database, creating and managing indexes, and other related tasks to maintain or improve database performance. The goal of MySQL query optimization is to increase the speed and brevity of query responses and to simplify data retrieval. 

Let’s look at three major reasons why companies need to take performance tuning and seriously – 

1. To enhance the rate of data fetching options

If your database lacks optimization, then fetching data can get slower with increasing data loads. Optimizing queries enables users to create indexes and eradicate issues that may be slowing down data retrieval. After all, it can get quite frustrating for your employees to wait for the database to perform its operations, which can pass on to customers forced to wait for the same.

2. To refrain from coding loops

Making your database go through a coding loop is akin to hammering it repeatedly. That’s because the same query is executed several times when it is placed in a loop. However, once you remove the query from the loop, you will experience a definite surge in performance because the query is run only once rather than going through multiple iterations. 

3. To increase the performance of your SQL statements 

Query tuning in SQL includes changing previous query patterns and habits that were affecting the speed of data storage and retrieval. For example, the use of SELECT is reduced by opting for separate column declaration and eliminating correlated subqueries. Queries are also simplified by obviating temporary tables at times, aside from many other techniques of optimization in SQL

Your database will be able to manage much more data after the application of all these improvements as these will increase its efficiency, making it scalable as well. Once your database has scalability, it also overcomes lower performance and ensures user satisfaction in terms of experience. 
If you require professional tools to manage MySQL query optimization and tuning, then Tosska can help you. Tosska provides highly intuitive tools that can simplify query tuning beyond your imagination, and it does this with the help of innovative AI technologies. Contact us today to learn more about our range of query optimization products and services.

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.

Tosska SQL Tuning Expert (TSEM™) for MySQL® – System Requirements

Before installing Tosska SQL Tuning Expert (TSEM™) for MySQL®, please make sure your system meets the following minimum hardware and software requirements:
 

CPU 1.8 GHz Processor
Memory 2 GB of RAM minimum, 4 GB of RAM recommended
Hard Disk Space 200 MB of disk space for 32-bit installation
400 MB of disk space for 64-bit installation
Operating System Microsoft Windows® 7 32-bit and 64-bit
Microsoft Windows® 10 32-bit and 64-bit
.NET Framework Microsoft .NET Framework 4.5.2
Database Server MySQL database 5.6 or higher

What’s new in Tosska SQL Tuning Expert Pro for Oracle Version 2 ?

Bring the automatic SQL tuning technology to new heights

With almost doubled the number of hints supported in version 2, Tosska SQL Tuning Expert Pro (TSE Pro) V2 SQL tuning ability is brought to new heights. It creates a new standard of Hints-injection-based SQL tuning ability that no other tools can achieve in the market. More problematic SQL can be improved with the new Hints and bigger Quota allocation of each Intelligent Level in TSE Pro version 2. The actual test result shows that even very simple SQL statements still have chance to be improved in various environments.

Options Window shows new Quota and Hints setting

Streamline from problematic SQL identification to optimization

A new Tune Top SQLs module is added to TSE Pro version 2, it is a powerful tool that can help user to extract high workload SQL statements from SGA and AWR into a Top SQL Repository and store in local PC. It is a very useful function for DBA to identify problematic SQL statements without the need of going through thousands of lines in program source codes. The layout of the captured SQL statements can be ordered by various resource consumptions, users can easily review and locate problematic SQL statements and prioritize them for later SQL tuning exercise. Each identified problematic SQL statement can be tuned by just a point and click in the Top SQL Repository window, and it is tightly integrated with the Tune SQL function to streamline the flow from problematic SQL identification to SQL optimization. Each tuned SQL will be recorded with improvement statistics and tuned SQL hints solutions. Users can also make any remarks on specific SQL statement as a reminder for follow-up actions.

SQL statements are captured from SGA and to be tuned one by one according to user’s priority

Specific SQL’s tuning details can be shown right next to SQL list tag page