


How to query the sum of two columns of data at the same time in ThinkPHP6?
Apr 01, 2025 pm 02:54 PM ThinkPHP6 database query: How to efficiently calculate the sum of jin
and chu
columns? This article will demonstrate how to use the ThinkPHP6 framework to convert SQL statements select sum(jin),sum(chu) from sysdbuil
to the corresponding database query statement, and solve the problem of returning only the single column sum result in the original code.
Many developers may encounter some difficulties when using ThinkPHP6 to process database aggregate functions (such as sum()
). For example, directly using sum()
method to try to calculate the sum of multiple columns at the same time often only get partial results.
Error example: The original code tried to use db::table('sysdbuil')->alias('a')->leftjoin(['user' => 'b'], 'a.buil_id = b.id')->sum('a.jin','a.chu');
but this method only returns the sum result of jin
column. This is because sum()
method can only calculate the sum of one field at a time.
The correct ThinkPHP6 solution:
In order to obtain the sum of the two columns jin
and chu
at the same time, we need to use field()
method to clearly specify the fields to be calculated and wrap them with sum()
function:
Db::table('sysdbuil')->alias('a') ->leftJoin(['user' => 'b'], 'a.buil_id = b.id') ->field('sum(a.jin) as jin_sum, sum(a.chu) as chu_sum') // Note that the alias is used here ->select();
This code first specifies the data table using Db::table('sysdbuil')
and adds alias('a')
. leftJoin
part retains the left join operation of the original code. The key is field('sum(a.jin) as jin_sum, sum(a.chu) as chu_sum')
, which specifies the fields to be queried, and uses the sum()
function to calculate the sum of the two columns jin
and chu
, and gives the result alias jin_sum
and chu_sum
to facilitate subsequent access. Finally, select()
method executes the query and returns the result.
This method is equivalent to the original SQL statement function and can correctly return the sum result of the two columns jin
and chu
, avoiding the problem of returning only single column results in the original code. By using the combination of field()
method and the sum()
function, we can flexibly handle database aggregation queries in the ThinkPHP6 framework.
The above is the detailed content of How to query the sum of two columns of data at the same time in ThinkPHP6?. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undress AI Tool
Undress images for free

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

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

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

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

Laravel and ThinkPHP are both popular PHP frameworks and have their own advantages and disadvantages in development. This article will compare the two in depth, highlighting their architecture, features, and performance differences to help developers make informed choices based on their specific project needs.

When developing a project that requires parsing SQL statements, I encountered a tricky problem: how to efficiently parse MySQL's SQL statements and extract the key information. After trying many methods, I found that the greenlion/php-sql-parser library can perfectly solve my needs.

In MySQL, add fields using ALTERTABLEtable_nameADDCOLUMNnew_columnVARCHAR(255)AFTERexisting_column, delete fields using ALTERTABLEtable_nameDROPCOLUMNcolumn_to_drop. When adding fields, you need to specify a location to optimize query performance and data structure; before deleting fields, you need to confirm that the operation is irreversible; modifying table structure using online DDL, backup data, test environment, and low-load time periods is performance optimization and best practice.

phpMyAdmin can be used to create databases in PHP projects. The specific steps are as follows: Log in to phpMyAdmin and click the "New" button. Enter the name of the database you want to create, and note that it complies with the MySQL naming rules. Set character sets, such as UTF-8, to avoid garbled problems.

JDBC...

phpMyAdmin is not just a database management tool, it can give you a deep understanding of MySQL and improve programming skills. Core functions include CRUD and SQL query execution, and it is crucial to understand the principles of SQL statements. Advanced tips include exporting/importing data and permission management, requiring a deep security understanding. Potential issues include SQL injection, and the solution is parameterized queries and backups. Performance optimization involves SQL statement optimization and index usage. Best practices emphasize code specifications, security practices, and regular backups.

Detailed explanation of PostgreSQL database resource monitoring scheme under CentOS system This article introduces a variety of methods to monitor PostgreSQL database resources on CentOS system, helping you to discover and solve potential performance problems in a timely manner. 1. Use PostgreSQL built-in tools and views PostgreSQL comes with rich tools and views, which can be directly used for performance and status monitoring: pg_stat_activity: View the currently active connection and query information. pg_stat_statements: Collect SQL statement statistics and analyze query performance bottlenecks. pg_stat_database: provides database-level statistics, such as transaction count, cache hit

MySQL is an open source relational database management system, mainly used to store, organize and retrieve data. Its main application scenarios include: 1. Web applications, such as blog systems, CMS and e-commerce platforms; 2. Data analysis and report generation; 3. Enterprise-level applications, such as CRM and ERP systems; 4. Embedded systems and Internet of Things devices.
