group by usage
GROUP BY is a SQL aggregation function that groups table data by columns and performs aggregated calculations on each group. Syntax: 1. Specify grouped columns: The column to group in the GROUP BY clause specifies the column to be grouped. 2. Perform aggregation calculation: Use the aggregation function to calculate grouped columns. 3. Get results based on grouping: The query returns aggregated results, with one group for each behavior.
GROUP BY Usage
definition
GROUP BY is a SQL aggregation function that groups data in a table based on columns and aggregates specific columns in each group.
grammar
<code class="sql">SELECT 聚合函数(列名) FROM 表名GROUP BY 分组列名;</code>
parameter
- Aggregation function: functions used to perform aggregate calculations, such as SUM, COUNT, AVG, etc.
- Column name: The column used for aggregation calculations.
- Grouped column name: The column used for grouping.
usage
The usage of GROUP BY is as follows:
- Specify grouped columns: Specify the column to be used for grouping in the GROUP BY clause.
- Perform aggregation calculation: Use the aggregate function to calculate the columns of each group.
- Get results based on groups: After the grouping is completed, the SQL query returns the results of the aggregate calculation, where each row represents a group.
Example
The following example demonstrates how to use GROUP BY to calculate the number of employees in different departments:
<code class="sql">SELECT 部门, COUNT(*) AS 人数FROM 员工表GROUP BY 部门;</code>
The query results are as follows:
department | Number of people |
---|---|
Sale | 10 |
market | 5 |
R&D | 15 |
advantage
The main advantages of GROUP BY include:
- Data Grouping: It allows the data to be organized into different groups.
- Data Summary: Through aggregation calculation, it provides a summary view of the data.
- Performance optimization: It improves the performance of querying large datasets because it reduces the number of rows returned by the query.
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