How to use union in sql
The UNION operator combines the results of multiple SELECT statements into a result set that does not contain duplicate rows. Its characteristics include: the column order and data type of the merged result set must be the same. Aggregate functions are not supported. UNION ALL can be used to combine result sets that contain duplicate rows to find duplicate data.
Usage of UNION in SQL
The UNION operator is used in SQL to combine two or more SELECT The results of the statements are combined into a result set.
Usage:
SELECT statement UNION SELECT statement UNION...
Features:
- The merged result set contains only unique rows.
- The order and data type of the columns in the merged result set must be the same.
- UNION does not support aggregate functions (such as SUM, COUNT).
- If you want to merge result sets that contain duplicate rows, you can use UNION ALL.
Example:
Suppose we have two tables:
<code>表 Student: | id | name | | --- | ---- | | 1 | John | | 2 | Mary | 表 Teacher: | id | name | | --- | ---- | | 3 | David | | 4 | Lisa |</code>
We can use the UNION operator to merge the # of these two tables ##name Column:
SELECT name FROM Student UNION SELECT name FROM Teacher;
<code>| name | | --- | | John | | Mary | | David | | Lisa |</code>
Note:
- Before using UNION, make sure the result set The column order and data type are consistent.
- If the result set contains duplicate rows, UNION will automatically delete them.
- UNION ALL allows you to merge result sets that contain duplicate rows, so it can be used to find duplicate data.
The above is the detailed content of How to use union 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 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.

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.

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.

SC stands for SELECT COUNT in SQL, an aggregate function used to count the number of records whether or not a condition is met. SC syntax: SELECT COUNT(*) AS record_count FROM table_name WHERE condition, where COUNT(*) counts the number of all records, table_name is the table name, and condition is an optional condition (used to count the number of records that meet the condition).

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