What does group by mean in sql
GROUP BY is an aggregate function in SQL, used to group data based on specified columns and perform aggregation operations. It allows users to: Group data rows based on specific column values. Apply an aggregate function (such as sum, count, average) to each group. Create meaningful summaries from large data sets, perform data aggregation and grouping.
GROUP BY in SQL
GROUP BY is an important aggregate function in SQL, which allows users to Specify columns to group the data, and then perform an aggregation operation (such as SUM, COUNT, AVG, etc.) on each group.
How to use GROUP BY?
The GROUP BY clause is used in the SELECT statement, and its basic syntax is as follows:
<code>SELECT 聚合函数(列名) FROM 表名 GROUP BY 列名</code>
For example, to pair Employee## based on the
Department column # To group the data in the table and calculate the total number of employees in each department, you can use the following query:
<code>SELECT COUNT(employee_id) FROM employees GROUP BY department_id</code>
How GROUP BY works
GROUP BY will convert the data Rows in the table are grouped based on specified column values. It combines rows with the same grouping column value to form a group. It then applies the specified aggregate function to each group, producing an aggregated result.Advantages of GROUP BY
- Data summaries: GROUP BY can be used to quickly create meaningful summaries from large data sets.
- Data aggregation: It allows users to perform various aggregation operations on grouped data, such as calculating sums, averages, or counts.
- Data Grouping: GROUP BY can be used to divide data into different categories or groups to facilitate analysis and visualization.
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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 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 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.

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.
