Mysql statement query skills: 1. If the comparison operator can use "=", do not use ""; 2. If you know that there is only one query result, please use "LIMIT 1"; 3. For columns Choose the appropriate data type; 4. Try to avoid using "SELECT *"; 5. Use LIMIT to implement paging logic.
mysql statement query skills:
Tip 1 If you can use "=" for the comparison operator, don't ""
"=" increases the probability of using the index.
Tip 2 If you know that there is only one query result, please use "LIMIT 1"
"LIMIT 1" can avoid full table scan, and the corresponding result will not be found again. Scanning continues.
Tip 3 Choose the appropriate data type for the column
If you can use TINYINT, don’t use SMALLINT. If you can use SMALLINT, don’t use INT. You know the truth, disk and memory consumption The smaller the better.
Tip 4: Turn a large DELETE, UPDATE or INSERT query into multiple small queries
Can you write a SQL statement with dozens or hundreds of lines? Looks very classy? However, for better performance and better data control, you can break them into multiple small queries.
Tip 5 Use UNION ALL instead of UNION, if the result set allows duplication
Because UNION ALL does not remove duplicates, it is more efficient than UNION.
Tip 6 To obtain multiple executions of the same result set, please keep the SQL statement consistent
The purpose of this is to make full use of the query buffer.
Tip 7 Try to avoid using "SELECT *"
If you do not query all the columns in the table, try to avoid using SELECT * because it will perform a full table scan. Inability to effectively utilize indexes increases the burden on the database server and the network IO overhead between it and the application client.
Tip 8 Columns in the WHERE clause should be indexed as much as possible
It’s just “try your best”, not all columns. Adjust measures according to local conditions and actual conditions, because sometimes too many indexes will reduce performance.
Tip 9 Columns in the JOIN clause should be indexed as much as possible
It’s also just “try your best”, not all columns.
Tip 10 The columns of ORDER BY should be indexed as much as possible
If the columns of ORDER BY are indexed, the performance will be better.
Tip 11 Use LIMIT to implement paging logic
Not only improves performance, but also reduces unnecessary network transmission between databases and applications.
Tip 12 Use the EXPLAIN keyword to view the execution plan
EXPLAIN can check index usage and scanned rows.
Tip 13 MySQL numbers are rounded, rounded, and retained to n decimal places
More related free learning recommendations: mysql tutorial(Video)
The above is the detailed content of What are the mysql statement query techniques?. For more information, please follow other related articles on the PHP Chinese website!

InnoDBBufferPool reduces disk I/O by caching data and indexing pages, improving database performance. Its working principle includes: 1. Data reading: Read data from BufferPool; 2. Data writing: After modifying the data, write to BufferPool and refresh it to disk regularly; 3. Cache management: Use the LRU algorithm to manage cache pages; 4. Reading mechanism: Load adjacent data pages in advance. By sizing the BufferPool and using multiple instances, database performance can be optimized.

Compared with other programming languages, MySQL is mainly used to store and manage data, while other languages such as Python, Java, and C are used for logical processing and application development. MySQL is known for its high performance, scalability and cross-platform support, suitable for data management needs, while other languages have advantages in their respective fields such as data analytics, enterprise applications, and system programming.

MySQL is worth learning because it is a powerful open source database management system suitable for data storage, management and analysis. 1) MySQL is a relational database that uses SQL to operate data and is suitable for structured data management. 2) The SQL language is the key to interacting with MySQL and supports CRUD operations. 3) The working principle of MySQL includes client/server architecture, storage engine and query optimizer. 4) Basic usage includes creating databases and tables, and advanced usage involves joining tables using JOIN. 5) Common errors include syntax errors and permission issues, and debugging skills include checking syntax and using EXPLAIN commands. 6) Performance optimization involves the use of indexes, optimization of SQL statements and regular maintenance of databases.

MySQL is suitable for beginners to learn database skills. 1. Install MySQL server and client tools. 2. Understand basic SQL queries, such as SELECT. 3. Master data operations: create tables, insert, update, and delete data. 4. Learn advanced skills: subquery and window functions. 5. Debugging and optimization: Check syntax, use indexes, avoid SELECT*, and use LIMIT.

MySQL efficiently manages structured data through table structure and SQL query, and implements inter-table relationships through foreign keys. 1. Define the data format and type when creating a table. 2. Use foreign keys to establish relationships between tables. 3. Improve performance through indexing and query optimization. 4. Regularly backup and monitor databases to ensure data security and performance optimization.

MySQL is an open source relational database management system that is widely used in Web development. Its key features include: 1. Supports multiple storage engines, such as InnoDB and MyISAM, suitable for different scenarios; 2. Provides master-slave replication functions to facilitate load balancing and data backup; 3. Improve query efficiency through query optimization and index use.

SQL is used to interact with MySQL database to realize data addition, deletion, modification, inspection and database design. 1) SQL performs data operations through SELECT, INSERT, UPDATE, DELETE statements; 2) Use CREATE, ALTER, DROP statements for database design and management; 3) Complex queries and data analysis are implemented through SQL to improve business decision-making efficiency.

The basic operations of MySQL include creating databases, tables, and using SQL to perform CRUD operations on data. 1. Create a database: CREATEDATABASEmy_first_db; 2. Create a table: CREATETABLEbooks(idINTAUTO_INCREMENTPRIMARYKEY, titleVARCHAR(100)NOTNULL, authorVARCHAR(100)NOTNULL, published_yearINT); 3. Insert data: INSERTINTObooks(title, author, published_year)VA


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

MinGW - Minimalist GNU for Windows
This project is in the process of being migrated to osdn.net/projects/mingw, you can continue to follow us there. MinGW: A native Windows port of the GNU Compiler Collection (GCC), freely distributable import libraries and header files for building native Windows applications; includes extensions to the MSVC runtime to support C99 functionality. All MinGW software can run on 64-bit Windows platforms.

SublimeText3 English version
Recommended: Win version, supports code prompts!

SublimeText3 Chinese version
Chinese version, very easy to use

VSCode Windows 64-bit Download
A free and powerful IDE editor launched by Microsoft

DVWA
Damn Vulnerable Web App (DVWA) is a PHP/MySQL web application that is very vulnerable. Its main goals are to be an aid for security professionals to test their skills and tools in a legal environment, to help web developers better understand the process of securing web applications, and to help teachers/students teach/learn in a classroom environment Web application security. The goal of DVWA is to practice some of the most common web vulnerabilities through a simple and straightforward interface, with varying degrees of difficulty. Please note that this software