关于一个很复杂的MYSQL查询排列场景的问题
一个产品包含了
货号 仓库 尺码 颜色 数量 等数据
MYSQL中也是按照这样的字段来进行存储的,但是有相同货号,不相同仓库,不同尺码的情况
现在我需要SELECT出的数据格式需求是
条目1——货号001 尺码 颜色 数量
————货号001 仓库002 尺码1的数量 尺码2的数量 尺码3的数量
条目2——货号002 尺码 颜色 数量
————货号002 仓库002 尺码1的数量 尺码2的数量 尺码3的数量
————货号002 仓库003 尺码1的数量 尺码2的数量 尺码3的数量
条目3——货号003 尺码 颜色
————货号003 仓库003 尺码1的数量 尺码2的数量 尺码3的数量
....
也就是将相同货号的货品合并起来然后分支出不同的仓库和不同的尺码
请问我要怎么写SELECT语句
我想应该是要写多层,效率最好的办法是什么?
回复内容:
一个产品包含了
货号 仓库 尺码 颜色 数量 等数据
MYSQL中也是按照这样的字段来进行存储的,但是有相同货号,不相同仓库,不同尺码的情况
现在我需要SELECT出的数据格式需求是
条目1——货号001 尺码 颜色 数量
————货号001 仓库002 尺码1的数量 尺码2的数量 尺码3的数量
条目2——货号002 尺码 颜色 数量
————货号002 仓库002 尺码1的数量 尺码2的数量 尺码3的数量
————货号002 仓库003 尺码1的数量 尺码2的数量 尺码3的数量
条目3——货号003 尺码 颜色
————货号003 仓库003 尺码1的数量 尺码2的数量 尺码3的数量
....
也就是将相同货号的货品合并起来然后分支出不同的仓库和不同的尺码
请问我要怎么写SELECT语句
我想应该是要写多层,效率最好的办法是什么?
你要考虑的是SKU

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

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

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

Hot Topics



The future of PHP will be achieved by adapting to new technology trends and introducing innovative features: 1) Adapting to cloud computing, containerization and microservice architectures, supporting Docker and Kubernetes; 2) introducing JIT compilers and enumeration types to improve performance and data processing efficiency; 3) Continuously optimize performance and promote best practices.

You can open phpMyAdmin through the following steps: 1. Log in to the website control panel; 2. Find and click the phpMyAdmin icon; 3. Enter MySQL credentials; 4. Click "Login".

PHP and Python each have their own advantages, and the choice should be based on project requirements. 1.PHP is suitable for web development, with simple syntax and high execution efficiency. 2. Python is suitable for data science and machine learning, with concise syntax and rich libraries.

MySQL is an open source relational database management system, mainly used to store and retrieve data quickly and reliably. Its working principle includes client requests, query resolution, execution of queries and return results. Examples of usage include creating tables, inserting and querying data, and advanced features such as JOIN operations. Common errors involve SQL syntax, data types, and permissions, and optimization suggestions include the use of indexes, optimized queries, and partitioning of tables.

MySQL is chosen for its performance, reliability, ease of use, and community support. 1.MySQL provides efficient data storage and retrieval functions, supporting multiple data types and advanced query operations. 2. Adopt client-server architecture and multiple storage engines to support transaction and query optimization. 3. Easy to use, supports a variety of operating systems and programming languages. 4. Have strong community support and provide rich resources and solutions.

PHP remains important in modern web development, especially in content management and e-commerce platforms. 1) PHP has a rich ecosystem and strong framework support, such as Laravel and Symfony. 2) Performance optimization can be achieved through OPcache and Nginx. 3) PHP8.0 introduces JIT compiler to improve performance. 4) Cloud-native applications are deployed through Docker and Kubernetes to improve flexibility and scalability.

Redis uses a single threaded architecture to provide high performance, simplicity, and consistency. It utilizes I/O multiplexing, event loops, non-blocking I/O, and shared memory to improve concurrency, but with limitations of concurrency limitations, single point of failure, and unsuitable for write-intensive workloads.

PHP and Python each have their own advantages, and choose according to project requirements. 1.PHP is suitable for web development, especially for rapid development and maintenance of websites. 2. Python is suitable for data science, machine learning and artificial intelligence, with concise syntax and suitable for beginners.
