MYSQL performance loss caused by a single quote
It is inevitable to encounter some dissatisfaction in life, some of which come from ourselves, and some of which do not. Today is the winter solstice, which is said to be the shortest day and longest night in the Northern Hemisphere. Today we are going to share that one of my colleagues mentioned the huge difference between adding single quotes or not, which is very meaningful for MYSQL performance optimization.
As we just said, there will inevitably be some dissatisfaction in life. For example, we use a string type field as the primary key. On the surface, this is too unsatisfactory. However, it has also been proven to be useful. of. The problem arises. When single quotes are added to the field value in the query statement, the query time differs by a hundred times!
The test table I created looks like this:
CREATE TABLE `foo` ( `key` VARCHAR(10) NOT NULL, `time` INT(11) NOT NULL, PRIMARY KEY (`key`) ) ENGINE=MyISAM DEFAULT CHARSET=utf8;
Then insert more than 300,000 pieces of data, and then execute the following SQL statement:
SELECT * FROM `foo` WHERE `key` =1293322797
The query takes 0.1288 seconds, It takes about this long, and then, add single quotes to 1293322797:
SELECT * FROM `foo` WHERE `key` ='1293322797'
The query takes 0.0009 seconds, which is basically a 100-fold difference! ! ! In other words, without adding single quotes, the performance of MYSQL is reduced by 100 times, which is a shocking ratio!
Later, I used EXPLAIN to run the above two statements respectively, as shown in the two pictures below:
When there are no single quotes
With When using single quotes
#It is obvious that the main index is not used without using single quotes, and a full table scan is performed. Using single quotes can use the upper index.
Later, I tested them separately using greater than, and the returned result sets were the same, and their time-consuming was the same as above. I used EXPLAIN to test, and it was the same as above.
SELECT * FROM `foo` WHERE `key` >1293322797 SELECT * FROM `foo` WHERE `key` >'1293322797'
With single quotes and without Adding single quotes makes such a big difference! It will have such a big impact on mysql performance.
Later, I changed the field key to the INT type. At this time, there is no difference whether to add single quotes or not. EXPLAIN shows that they can also use the main index, but key_len becomes shorter.
Recommended: "mysql tutorial"
The above is the detailed content of Does a single quote cause MySQL performance loss?. For more information, please follow other related articles on the PHP Chinese website!

The main difference between MySQL and SQLite is the design concept and usage scenarios: 1. MySQL is suitable for large applications and enterprise-level solutions, supporting high performance and high concurrency; 2. SQLite is suitable for mobile applications and desktop software, lightweight and easy to embed.

Indexes in MySQL are an ordered structure of one or more columns in a database table, used to speed up data retrieval. 1) Indexes improve query speed by reducing the amount of scanned data. 2) B-Tree index uses a balanced tree structure, which is suitable for range query and sorting. 3) Use CREATEINDEX statements to create indexes, such as CREATEINDEXidx_customer_idONorders(customer_id). 4) Composite indexes can optimize multi-column queries, such as CREATEINDEXidx_customer_orderONorders(customer_id,order_date). 5) Use EXPLAIN to analyze query plans and avoid

Using transactions in MySQL ensures data consistency. 1) Start the transaction through STARTTRANSACTION, and then execute SQL operations and submit it with COMMIT or ROLLBACK. 2) Use SAVEPOINT to set a save point to allow partial rollback. 3) Performance optimization suggestions include shortening transaction time, avoiding large-scale queries and using isolation levels reasonably.

Scenarios where PostgreSQL is chosen instead of MySQL include: 1) complex queries and advanced SQL functions, 2) strict data integrity and ACID compliance, 3) advanced spatial functions are required, and 4) high performance is required when processing large data sets. PostgreSQL performs well in these aspects and is suitable for projects that require complex data processing and high data integrity.

The security of MySQL database can be achieved through the following measures: 1. User permission management: Strictly control access rights through CREATEUSER and GRANT commands. 2. Encrypted transmission: Configure SSL/TLS to ensure data transmission security. 3. Database backup and recovery: Use mysqldump or mysqlpump to regularly backup data. 4. Advanced security policy: Use a firewall to restrict access and enable audit logging operations. 5. Performance optimization and best practices: Take into account both safety and performance through indexing and query optimization and regular maintenance.

How to effectively monitor MySQL performance? Use tools such as mysqladmin, SHOWGLOBALSTATUS, PerconaMonitoring and Management (PMM), and MySQL EnterpriseMonitor. 1. Use mysqladmin to view the number of connections. 2. Use SHOWGLOBALSTATUS to view the query number. 3.PMM provides detailed performance data and graphical interface. 4.MySQLEnterpriseMonitor provides rich monitoring functions and alarm mechanisms.

The difference between MySQL and SQLServer is: 1) MySQL is open source and suitable for web and embedded systems, 2) SQLServer is a commercial product of Microsoft and is suitable for enterprise-level applications. There are significant differences between the two in storage engine, performance optimization and application scenarios. When choosing, you need to consider project size and future scalability.

In enterprise-level application scenarios that require high availability, advanced security and good integration, SQLServer should be chosen instead of MySQL. 1) SQLServer provides enterprise-level features such as high availability and advanced security. 2) It is closely integrated with Microsoft ecosystems such as VisualStudio and PowerBI. 3) SQLServer performs excellent in performance optimization and supports memory-optimized tables and column storage indexes.


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Dreamweaver CS6
Visual web development tools

WebStorm Mac version
Useful JavaScript development tools

ZendStudio 13.5.1 Mac
Powerful PHP integrated development environment

SecLists
SecLists is the ultimate security tester's companion. It is a collection of various types of lists that are frequently used during security assessments, all in one place. SecLists helps make security testing more efficient and productive by conveniently providing all the lists a security tester might need. List types include usernames, passwords, URLs, fuzzing payloads, sensitive data patterns, web shells, and more. The tester can simply pull this repository onto a new test machine and he will have access to every type of list he needs.

SublimeText3 Mac version
God-level code editing software (SublimeText3)