【原创】POSTGRESQL交叉表的实现
这里我来演示下在POSTGRESQL里面如何实现交叉表的展示,至于什么是交叉表,我就不多说了,度娘去哦。原始表数据如下:t_girl=#select*fromscore;name|subject&n.
这里我来演示下在POSTGRESQL里面如何实现交叉表的展示,至于什么是交叉表,我就不多说了,度娘去哦。
原始表数据如下:
t_girl=# select * from score; name | subject | score -------+---------+------- Lucy | English | 100 Lucy | Physics | 90 Lucy | Math | 85 Lily | English | 95 Lily | Physics | 81 Lily | Math | 84 David | English | 100 David | Physics | 86 David | Math | 89 Simon | English | 90 Simon | Physics | 76 Simon | Math | 79 (12 rows) Time: 2.066 ms想要实现以下的结果:
name | English | Physics | Math -------+---------+---------+------ Simon | 90 | 76 | 79 Lucy | 100 | 90 | 85 Lily | 95 | 81 | 84 David | 100 | 86 | 89大致有以下几种方法:
1、用标准SQL展现出来
t_girl=# select name, t_girl-# sum(case when subject = 'English' then score else 0 end) as "English", t_girl-# sum(case when subject = 'Physics' then score else 0 end) as "Physics", t_girl-# sum(case when subject = 'Math' then score else 0 end) as "Math" t_girl-# from score t_girl-# group by name order by name desc; name | English | Physics | Math -------+---------+---------+------ Simon | 90 | 76 | 79 Lucy | 100 | 90 | 85 Lily | 95 | 81 | 84 David | 100 | 86 | 89 (4 rows) Time: 1.123 ms2、用PostgreSQL 提供的第三方扩展 tablefunc 带来的函数实现
以下函数crosstab 里面的SQL必须有三个字段,name, 分类以及分类值来作为起始参数,必须以name,分类值作为输出参数。
t_girl=# SELECT * FROM crosstab('select name,subject,score from score order by name desc',$$values ('English'::text),('Physics'::text),('Math'::text)$$) AS score(name text, English int, Physics int, Math int); name | english | physics | math -------+---------+---------+------ Simon | 90 | 76 | 79 Lucy | 100 | 90 | 85 Lily | 95 | 81 | 84 David | 100 | 86 | 89 (4 rows) Time: 2.059 ms3、用PostgreSQL 自身的聚合函数实现
t_girl=# select name,split_part(split_part(tmp,',',1),':',2) as "English", t_girl-# split_part(split_part(tmp,',',2),':',2) as "Physics", t_girl-# split_part(split_part(tmp,',',3),':',2) as "Math" t_girl-# from t_girl-# ( t_girl(# select name,string_agg(subject||':'||score,',') as tmp from score group by name order by name desc t_girl(# ) as T; name | English | Physics | Math -------+---------+---------+------ Simon | 90 | 76 | 79 Lucy | 100 | 90 | 85 Lily | 95 | 81 | 84 David | 100 | 86 | 89 (4 rows) Time: 2.396 ms
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

MySQL and PostgreSQL: Best Practices in Web Development Introduction: In the modern world of web development, databases are an essential component. When choosing a database, common choices are MySQL and PostgreSQL. This article will cover best practices for using MySQL and PostgreSQL in web development and provide some code examples. 1. Applicable scenarios MySQL is suitable for most web applications, especially those that require high performance, scalability and ease of use.

MySQL and PostgreSQL: Performance Comparison and Optimization Tips When developing web applications, the database is an indispensable component. When choosing a database management system, MySQL and PostgreSQL are two common choices. They are both open source relational database management systems (RDBMS), but there are some differences in performance and optimization. This article will compare the performance of MySQL and PostgreSQL and provide some optimization tips. Performance comparison comparing two database management

MySQL and PostgreSQL: Data Security and Backup Strategies Introduction: In modern society, data has become an indispensable part of business and personal life. For database management systems, data security and backup strategies are crucial, both to protect data from loss or damage and to ensure the reliability and integrity of recovered data. This article will focus on the data security and backup strategies of two mainstream relational database systems, MySQL and PostgreSQL. 1. Data security: (1) User rights

Learn the database functions in the Go language and implement the addition, deletion, modification, and query operations of PostgreSQL data. In modern software development, the database is an indispensable part. As a powerful programming language, Go language provides a wealth of database operation functions and toolkits, which can easily implement addition, deletion, modification and query operations of the database. This article will introduce how to learn database functions in Go language and use PostgreSQL database for actual operations. Step 1: Install the database driver in Go language for each database

With the development of database technology, database management systems also present a variety of choices. Developers can choose the most suitable database according to their needs and preferences. As an advanced open source relational database system, PostgreSQL is attracting more and more attention and use by developers. So, how to use PostgreSQL database in PHP programming? 1. Install and configure the PostgreSQL database. Before using PostgreSQL, you need to install and configure it. first

Go language is a fast and efficient programming language suitable for building web services and back-end applications. PostgreSQL is an open source relational database management system that promises to provide higher reliability, scalability and data security. In this article, we’ll take a deep dive into using PostgreSQL with Go and provide some practical code examples and tips. Installing and setting up PostgreSQL First, we need to install and set up PostgreSQL. Can be found on the official website

With the development of the Internet, the amount of data continues to grow, and the need for data management becomes increasingly urgent. Relational database is an important way of data management, among which PostgreSQL is popular for its flexibility, scalability and security. This article introduces how to use the PHP language to implement an open source PostgreSQL relational database. I hope it will be helpful to developers with corresponding needs. Overview PostgreSQL is a powerful relational database system that follows the SQL standard and has many

MySQL and PostgreSQL: How to optimize database query performance? Overview: Database query performance is an important consideration when developing applications. Good query performance improves application responsiveness and user experience. This article will introduce some methods to optimize database query performance, focusing on two commonly used databases, MySQL and PostgreSQL. Optimization of database indexes: Database indexes are an important factor in improving query performance. Indexes can speed up data search and reduce query scanning time.
