The role of groupby in sql
SQL GROUP BY clause organizes a data set by grouping and aggregating data by columns. It is used to: Group tables by specified columns Apply aggregate functions (such as SUM, AVG, COUNT) to calculate group values
GROUP BY sub-sub in SQL Sentence
The GROUP BY clause is a powerful tool in SQL that allows users to group data sets by one or more columns and aggregate data for each group.
Function
The main functions of the GROUP BY clause are as follows:
- Group the data set according to the specified column
- Aggregate data for each group, such as calculating sums, averages, or counts
Syntax
The syntax of the GROUP BY clause is as follows:
<code>SELECT 列名1, 列名2, ... FROM 表名 GROUP BY 列名3, 列名4, ...</code>
- Column name 1, column name 2, ...: the column to be selected
- table name: the table to be queried
- column name 3, column name 4, . ..: The column to be grouped
Usage example
The following is an example of using the GROUP BY clause:
<code>SELECT department, SUM(salary) FROM employees GROUP BY department</code>
This query Group the employees
table by the department
column and calculate the total salary for each department.
Aggregation Functions
The GROUP BY clause is often used with aggregate functions that calculate values for each group. Some common aggregate functions include:
- SUM(): Calculate the sum
- AVG(): Calculate the average
- COUNT(): Calculate the count
- MIN(): Calculate the minimum value
- MAX(): Calculate the maximum value
Multiple column grouping
GROUP BY sub Sentences can be grouped by multiple columns at the same time. For example:
<code>SELECT department, location, SUM(salary) FROM employees GROUP BY department, location</code>
This query groups the employees
table by the department
and location
columns and calculates the total salary for each department and location.
The above is the detailed content of The role of groupby in sql. For more information, please follow other related articles on the PHP Chinese website!

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

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











SUM in Oracle is used to calculate the sum of non-null values, while COUNT counts the number of non-null values of all data types, including duplicate values.

The SQL SUM function calculates the sum of a set of numbers by adding them together. The operation process includes: 1. Identifying the input value; 2. Looping the input value and converting it into a number; 3. Adding each number to accumulate a sum; 4. Returning the sum result.

Aggregate functions in SQL are used to calculate and return a single value for a set of rows. Common aggregation functions include: Numeric aggregation functions: COUNT(), SUM(), AVG(), MIN(), MAX() Row set aggregation functions: GROUP_CONCAT(), FIRST(), LAST() Statistical aggregation functions: STDDEV (), VARIANCE() optional aggregate functions: COUNT(DISTINCT), TOP(N)

The SUM() function in SQL is used to calculate the sum of numeric columns. It can calculate sums based on specified columns, filters, aliases, grouping and aggregation of multiple columns, but only handles numeric values and ignores NULL values.

The COUNT function in Oracle is used to count non-null values in a specified column or expression. The syntax is COUNT(DISTINCT <column_name>) or COUNT(*), which counts the number of unique values and all non-null values respectively.

MySQL's AVG() function is used to calculate the average of numeric values. It supports multiple usages, including: Calculate the average quantity of all sold products: SELECT AVG(quantity_sold) FROM sales; Calculate the average price: AVG(price); Calculate the average sales volume: AVG(quantity_sold * price). The AVG() function ignores NULL values, use IFNULL() to calculate the average of non-null values.

Non-aggregated columns in SQL are columns that store single record values and are not processed by aggregate functions. These columns contain unique values for each record and are used to identify, categorize, or filter the data.

Grouped data can be sorted using GROUP BY and ORDER BY: 1. GROUP BY groups data; 2. ORDER BY sorts each group of data.
