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ULTIMATE GUIDE TO MYSQL PERFORMANCE TUNING FOR OPTIMAL DATABASE EFFICIENCY

Inshal Ali

Updated on May 17, 2023

12 Min Read

 * 
 * 
 * 
 * 

Structured Query Language (SQL) is a powerful tool for managing data in
relational databases, including popular systems like MySQL, Postgres, Oracle,
SQL Server, and others.

By using SQL statements, developers can easily perform various functional
database operations like data creation, updates, and deletions.

As data volumes and technology complexity increase, optimizing MySQL databases
is crucial for delivering a seamless end-user experience and reducing
infrastructure costs.

In this blog, we’ll explore MySQL performance tuning tools that can help
database professionals identify bottlenecks, review query execution plans, and
eliminate guesswork. Get ready to unlock the full potential of your MySQL
database!

Table Of Content
 1. MySQL Performance Tuning Advice
 2. Benefits of MySQL Performance Tuning
 3. MySQL Server Performance Tuning Tips for Effective Optimization
 4. Security Measures for Maintaining Optimal MySQL Performance
 5. Server Configuration and Hardware in MySQL Performance Tuning
 6. MySQL Performance Tuning: Query Cache in MySQL
 7. Monitoring Tools for MySQL Performance Analysis
 8. How Cloudways Enhances MySQL Performance with Managed Database Services
 9. Wrapping up!


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MYSQL PERFORMANCE TUNING ADVICE

Optimizing database performance and MySQL query execution are crucial for
maximizing system performance. However, SQL tuning can be complex and
time-consuming for developers, requiring technical expertise to understand and
write different execution plans.

With the challenges of uncertain tuning approaches for unique SQL statements,
mastering database performance tuning is essential in today’s data-driven
environments.


BENEFITS OF MYSQL PERFORMANCE TUNING

Here are the benefits of MySQL performance tuning:

 * Cost Optimization: Identifying the performance-driving factor allows you to
   avoid over-provisioning and reduce costs by right-sizing servers.
 * Improved Performance: Tuning the database for MySQL query performance
   optimization results in worthwhile performance improvements and enhanced
   functionalities.
 * Enhanced Data Retrieval: Optimized MySQL database allows for faster data
   retrieval, reducing latency and improving overall user experience.
 * Reduced Task Load: Properly tuned database lowers unnecessary task load,
   optimizing system resources and improving efficiency.
 * Data Storage Optimization: Insights gained from performance tuning can help
   determine if moving data storage or adding server capacity will improve
   performance and by how much.
 * Increased Scalability: Performance tuning enables better scalability,
   allowing the database to handle increasing data loads without compromising
   performance.
 * Higher ROI: Improved database performance and optimized resource utilization
   lead to a higher return on investment (ROI) by maximizing system efficiency
   and reducing operational costs.

You Might Also Like: PHP Performance Tips to Optimize Your Websites


MYSQL SERVER PERFORMANCE TUNING TIPS FOR EFFECTIVE OPTIMIZATION

Optimizing MySQL performance is critical for ensuring that the database operates
efficiently and effectively, which impacts business operations.

This section covers some MySQL performance tuning techniques, which you can
imply to improve the speed and efficiency of MySQL queries, reduce the risk of
database failures, and optimize database performance.


OPTIMIZING MYSQL PERFORMANCE WITH INDEXING STRATEGIES



Source: devart

Indexes are essential for optimizing database performance, particularly in
reducing query execution time. Writing queries that effectively utilize indexes
is crucial. Indexes should be created on frequently queried columns, such as
primary keys or columns used in JOINs or WHERE clauses.

However, excessive indexing can negatively impact database performance by
slowing down writes and increasing disk space usage. Therefore, it’s essential
to create indexes strategically based on the application’s requirements to avoid
over-indexing and maintain optimal performance.


AVOID USING FUNCTIONS IN PREDICATES

The database doesn’t use an index if it has some function predefined in the
column.

For example:

SELECT * FROM TABLE1 WHERE UPPER(COL1)='ABC'Copy

 1. SELECT * FROM TABLE1 WHERE UPPER(COL1)='ABC'Copy

SELECT * FROM TABLE1 WHERE UPPER(COL1)='ABC'Copy



Because of the UPPER() function, the database doesn’t utilize the index on COL1.
If there isn’t any way to avoid that function in SQL, you must create a new
function-based index or generate custom columns in the database to improve
performance.


AVOID USING A WILDCARD (%) AT THE BEGINNING OF A PREDICATE

The predicate LIKE ‘%abc’ causes a full table scan. For example:

SELECT * FROM TABLE1 WHERE COL1 LIKE '%ABC'Copy

 1. SELECT * FROM TABLE1 WHERE COL1 LIKE '%ABC'Copy

SELECT * FROM TABLE1 WHERE COL1 LIKE '%ABC'Copy



In most cases, this wildcard usage brings major performance limitations.


AVOID UNNECESSARY COLUMNS IN THE SELECT CLAUSE

Instead of using ‘SELECT *’, always specify columns in the SELECT clause to
improve MySQL performance. Because unnecessary columns cause additional load on
the database, slowing down its performance as well whole systematic process.


USE INNER JOIN INSTEAD OF OUTER JOIN



Source: devart

Use outer join only when necessary. Using it needlessly not only limits database
performance but also limits MySQL query optimization options, resulting in
slower execution of SQL statements.


USE DISTINCT AND UNION ONLY IF NECESSARY

Using UNION and DISTINCT operators without any major purpose causes unwanted
sorting and slowing down of SQL execution. Instead of UNION, using UNION ALL
brings more efficiency to the process and improves MySQL performance more
precisely.


WHERE TO USE “ORDER BY”

The ORDER BY keyword sorts the result set in predefined statement columns.
Though the statement brings an advantage for the database admins for getting the
sorted data, it also produces a bit of performance impact in the SQL execution.
Because the query first needs to sort the data for producing the final
result-set, causing a bit of complex operation in the SQL execution.

You Might Also Like: How to Join Two Tables in MySQL


OPTIMIZING MYSQL SUBQUERIES



Source: alibabacloud

The most important advice I can give you about subqueries is that you must
prefer a join where possible, at least in current versions of MySQL.

Subqueries are the subject of intense work by the optimizer team, and upcoming
versions of MySQL may have more subquery optimizations.

Check which of the optimizations will end up in the released code and how much
difference they’ll make. My point here is that “prefer a join” is not
future-proof advice. The server is getting smarter, and the cases where you have
to tell it how to do something instead of what results to return are becoming
fewer.


OPTIMIZE QUERIES

Queues can affect your database performance right from the core and could enter
to your app databases without your knowledge. For instance, if you set up a
status for a particular item so that a ‘relevant process’ can access it, you
unintentionally create a queue. What it does is that it builds up extra load
time to access the resource without any major reason.



Source: devart

Queues cause problems for two major reasons. They serialize your workload,
preventing the completion of tasks in parallel, and they often result in a table
containing work in process and historical data from already completed jobs. It
adds latency to the application and hinders MySQL performance tuning.


SECURITY MEASURES FOR MAINTAINING OPTIMAL MYSQL PERFORMANCE

One critical aspect of maintaining optimal MySQL performance is implementing
strong security measures.

As the amount of data organizations needs to store and manage continues to grow,
ensuring the optimal performance of MySQL databases becomes increasingly
important.

To ensure optimal MySQL performance, it is essential to implement security
measures such as;


PROTECT AGAINST UNAUTHORIZED ACCESS

Implementing MySQL security measures is crucial to protect against unauthorized
access, which can lead to data breaches and data loss, and also impact database
performance and availability. Breaches can result in significant financial
losses and reputational damage for companies.

To prevent unauthorized access, strong passwords, and multi-factor
authentication are essential. Weak passwords make it easier for hackers to gain
access, while multi-factor authentication adds an extra layer of security even
if a password is compromised. Role-based access controls can also limit access
to specific database parts, reducing the risk of unauthorized access to critical
data.


PREVENT SQL INJECTION ATTACKS

SQL injection attacks are common cyber attacks where malicious SQL statements
are injected into MySQL queries to gain unauthorized access. These attacks can
cause MySQL database performance issues, crashes, or even complete failure.

It is crucial to sanitize user input and use prepared statements to prevent SQL
injection attacks. Sanitizing user input involves validating and filtering input
to ensure it meets expected criteria, such as data type or format. Prepared
statements are pre-compiled SQL statements that separate user input from the SQL
code, preventing SQL injection attacks.


ENSURE DATA INTEGRITY

Data integrity is critical for maintaining optimal MySQL performance. Data loss
or corruption can severely impact the performance of the MySQL database, leading
to data inconsistency or loss of critical business information. Therefore, it is
essential to implement security measures that ensure data integrity, such as
backups and disaster recovery plans.

Regular backups can help ensure critical data is not lost during a security
breach or other disaster. Backups can be stored offsite or in the cloud to
prevent data loss due to physical disasters such as fire, flood, or theft.
Disaster recovery plans can also help databases to be restored quickly in the
event of a security breach, minimizing downtime and preventing data loss.


COMPLIANCE REQUIREMENTS

Many industries have data security and privacy requirements, such as the Payment
Card Industry Data Security Standard (PCI DSS) and the General Data Protection
Regulation (GDPR).

Failing to meet these requirements can result in significant financial penalties
and damage the company’s reputation. Implementing strong security measures can
ensure compliance with these regulations and reduce the risk of non-compliance.


SERVER CONFIGURATION AND HARDWARE IN MYSQL PERFORMANCE TUNING

You need four fundamental resources to make database functions. CPU, disk,
memory, and network. If anyone of these doesn’t function correctly, it
ultimately affects the database server and results in poor performance.

To understand the fundamental resources properly, you need to focus on two
particular areas i.e, choosing the right hardware and troubleshooting problems
with it.

 * CPU: The CPU executes queries and processes data in the database. To ensure
   optimal MySQL performance, it’s important to choose a CPU with a high clock
   speed and multiple cores.
 * RAM: MySQL databases rely heavily on RAM for caching data and performing
   operations in memory. To improve MySQL performance, it’s important to ensure
   that the server has enough RAM to accommodate the size of the database and
   the workload.
 * Storage: The type of storage used for the MySQL database can also
   significantly impact performance. Solid-state drives (SSDs) are generally
   faster than traditional hard disk drives (HDDs) and can improve the
   performance of MySQL databases.
 * Network: The speed and reliability of the network connection between the
   MySQL server and clients can also impact performance.
 * Server Configuration: Finally, server configuration can also significantly
   impact MySQL performance. Configuring MySQL to use the appropriate buffer
   sizes, thread pools, and other settings can improve performance and reduce
   the need for disk access.

 


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Whether it is PHP benchmarking or when it comes to troubleshooting, always keep
in check the performance of all fundamental resources. Validate qualitatively
that they are performing as per the needs improvement in the norms. Taking this
audit into regular consideration will quickly solve major occurring problems.


PAGINATION QUERIES

Applications with pagination can strain the server, as they often group and sort
data in ways that don’t utilize indexes and use LIMIT and offset, which
generates and discards rows, causing unnecessary work for the server.

Optimizations can be made in the user interface by showing a link to the next
page instead of displaying the exact number of pages in the results and links to
individual pages. Irrelevant pages can also be prevented from being accessed.

On the query side, instead of using LIMIT with offset, selecting one extra row
and designating it as the starting point for the next set of results can be more
efficient. For example, if the user has viewed rows 101 through 120, querying
for rows greater than or equal to 121 with a limit of 21 can be used to render
the next page.


MYSQL PERFORMANCE TUNING: QUERY CACHE IN MYSQL

Another important aspect of measuring performance is caching the content. MySQL
provides database query caching, which caches the SELECT statement text and the
retrieved result.

Hence, whenever you make a duplicate database, you call MySQL query cache, it
will respond to you and show the result from the cache, and no call will be
parsed repeatedly. In this way, you can maximize the MySQL cache optimization
process.

To set up MySQL query cache, you must add a few settings to MySQL. First of all,
you must check if the query cache is available or not with the following
command:

mysql> SHOW VARIABLES LIKE 'have_query_cache';

 1. mysql> SHOW VARIABLES LIKE 'have_query_cache';

mysql> SHOW VARIABLES LIKE 'have_query_cache';



This will show the result, YES. This means MySQL cache is working fine.

+------------------+-------+


| Variable_name    | Value |


+------------------+-------+


| have_query_cache | YES   |


+------------------+-------+

 1.  +------------------+-------+
 2.  
 3.  
 4.  | Variable_name | Value |
 5.  
 6.  
 7.  +------------------+-------+
 8.  
 9.  
 10. | have_query_cache | YES |
 11. 
 12. 
 13. +------------------+-------+

+------------------+-------+


| Variable_name    | Value |


+------------------+-------+


| have_query_cache | YES   |


+------------------+-------+



 

Now, you can set up the MySQL query cache size and type. Remember, the minimum
default size is 40KB. The maximum size can be 32MB. You can set up the MySQL
query_cache_size by using the following command:

mysql> SET GLOBAL query_cache_size = 40000;


 1. mysql> SET GLOBAL query_cache_size = 40000;

mysql> SET GLOBAL query_cache_size = 40000;



Query cache type can determine the behavior of all connections. You can also
disable the Query cache for queries like:

mysql> SET SESSION query_cache_type = OFF;

 1. mysql> SET SESSION query_cache_type = OFF;

mysql> SET SESSION query_cache_type = OFF;



You can also set values like 0,1 and 2 for setting up the connection status.


USE MEMCACHED FOR MYSQL CACHING

Memcached is a popular open-source caching system that can be used to cache the
results of

queries or other data in memory. MySQL can be configured to use Memcached as a
plugin, allowing data to be cached and retrieved quickly.

Memcached stores the values (v) with the key (k), and retrieves the values (v)
with the key (k) without even parsing the database queries and stays away from
all these hassles.

To read more about Memcached, you can read the guide on how to set up Memcache
in PHP.


APPLICATION-LEVEL CACHING

Application-Level Caching refers to caching data at the application layer,
typically in memory, to avoid the need for frequently accessing that data from a
database. In the context of a database, this technique can be used to cache
frequently accessed data or results of computations to improve the performance
of an application that interacts with the database.

Application-Level Caching can be particularly useful for applications that
frequently retrieve the same data or perform complex computations on data that
only change occasionally. This happens when an application needs to retrieve
data from a database. It can first check if the data is already cached in
memory.


CONTENT DELIVERY NETWORK

CDNs are commonly used to cache static assets, such as images, videos, and
JavaScript files, to improve the speed and performance of websites and
applications. When a user requests content from a website or application, the
CDN server closest to the user serves the content.

By caching content in a CDN, the load on the database can be reduced, resulting
in faster response times and improved scalability.

For example, a website that displays product images can store those images in a
CDN, which will cache the images and serve them quickly to users, reducing the
load on the database and improving the website’s performance.


MONITORING TOOLS FOR MYSQL PERFORMANCE ANALYSIS

MySQL performance tuning involves optimizing the performance of MySQL databases
to improve query response times, reduce server load, and enhance overall
database performance. Several tools are available for MySQL performance tuning,
such as:


MYSQLTUNER



Source: MySQLTuner

MySQLTuner is a Perl script that helps MySQL database administrators analyze and
optimize the performance of their MySQL databases. MySQLTuner performs a
comprehensive analysis of the MySQL server configuration and provides
recommendations for optimizing specific database configuration parameters, such
as query caching, thread handling, and buffer sizes.

However, it is important to note that the recommendations provided by MySQLTuner
should be reviewed and tested thoroughly before implementing them in a
production environment.


VIVIDCORTEX



Source: SolarWinds

VividCortex is a powerful tool for monitoring and optimizing database
performance in cloud-native environments, providing real-time insight and
recommendations for optimizing database performance and improving application
performance.

VividCortex provides real-time monitoring of server load, query response times,
and database health, enabling database administrators to quickly identify
performance issues and resolve them before they impact the application.


MYSQL WORKBENCH



Source: MySQL Workbench

MySQL Workbench is an IDE for managing and developing MySQL databases. MySQL
Workbench provides tools for creating, visualizing, and modifying database
schema. It offers powerful features for managing users, permissions, and
security settings, as well as monitoring server performance and health.

MySQL Workbench includes a powerful SQL editor with syntax highlighting, code
completion, and debugging features. It also includes tools for analyzing SQL
queries, optimizing query performance, and exporting query results.


HOW CLOUDWAYS ENHANCES MYSQL PERFORMANCE WITH MANAGED DATABASE SERVICES

Cloudways uses MariaDB as a backward-compatible improved version of MySQL and
provides the latest MariaDB versions on all its newly launched servers.

Here’s how you can select your desired MariaDB version:

 * Navigate to the Settings & Packages tab.
 * Click on the drop-down menu.
 * Choose your desired MariaDB version with a single click.



Cloudways offers managed database services, providing businesses with a
dedicated team of experts for secure and optimized database management. Its team
of experts fine-tunes database configurations for efficient performance and
optimizes queries for improved response time.

With autoscaling, businesses can adjust database resources based on workload,
enhancing performance and cost savings by utilizing only necessary resources.

Cloudways’ managed database services improve performance through various
features, allowing businesses to focus on core competencies while the Cloudways
team expertly manages their database.


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WRAPPING UP!

This blog has shared exclusive best practices and performance tuning tips for
MySQL databases, making it a comprehensive guide for backend developers seeking
to address poor database performance.

By implementing these tips, you can optimize your database performance, reduce
query times, and enhance the overall user experience. Whether you aim to improve
performance or scalability, these tips are useful for anyone seeking to optimize
their MySQL database. And with the support of cutting-edge PHP web hosting,
you’ll witness your database efficiency reach new heights.

If you want to add your thoughts on the topic or want to ask some questions
regarding it, feel free to write your comments in the comments section.


Q: HOW IS THE PERFORMANCE OF MYSQL?

MySQL is designed to handle large amounts of data and can support many
concurrent users and in general, it is known for its good performance and
scalability. However, the performance can vary depending on factors such as
hardware, software configuration, and workload.


Q: HOW TO IMPROVE THE PERFORMANCE OF MYSQL?

There are several ways to improve the performance of MySQL. Here are some tips:

 * Optimize your queries
 * Index your tables
 * Optimize your database schema
 * Optimize your server configuration
 * Upgrade your hardware
 * Use caching
 * Use a CDN


Q: IS MYSQL DATABASE FAST?

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INSHAL ALI

Inshal is a Content Marketer at Cloudways. With background in computer science,
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and go beyond through content that speaks the language of their customers. Apart
from work, you will see him mostly in some online games or on a football field.

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