Sqlite 简明教程

SQLite - GROUP BY Clause

SQLite *GROUP BY * 子句与 SELECT 语句配合使用,可将相同数据整理到组中。

SQLite *GROUP BY * clause is used in collaboration with the SELECT statement to arrange identical data into groups.

GROUP BY 子句在 SELECT 语句中跟在 WHERE 子句后面,在 ORDER BY 子句之前。

GROUP BY clause follows the WHERE clause in a SELECT statement and precedes the ORDER BY clause.

Syntax

以下是 GROUP BY 子句的基本语法。GROUP BY 子句必须遵循 WHERE 子句中的条件,如果使用 ORDER BY 子句,它必须在 ORDER BY 子句之前。

Following is the basic syntax of GROUP BY clause. GROUP BY clause must follow the conditions in the WHERE clause and must precede ORDER BY clause if one is used.

SELECT column-list
FROM table_name
WHERE [ conditions ]
GROUP BY column1, column2....columnN
ORDER BY column1, column2....columnN

您可以在 GROUP BY 子句中使用多个列。确保您用于分组的任何列都应该出现在列列表中。

You can use more than one column in the GROUP BY clause. Make sure whatever column you are using to group, that column should be available in the column-list.

Example

考虑具有以下记录的 COMPANY 表。

Consider COMPANY table with the following records.

ID          NAME        AGE         ADDRESS     SALARY
----------  ----------  ----------  ----------  ----------
1           Paul        32          California  20000.0
2           Allen       25          Texas       15000.0
3           Teddy       23          Norway      20000.0
4           Mark        25          Rich-Mond   65000.0
5           David       27          Texas       85000.0
6           Kim         22          South-Hall  45000.0
7           James       24          Houston     10000.0

如果您想了解每位客户的总薪水,则 GROUP BY 查询如下所示 −

If you want to know the total amount of salary on each customer, then GROUP BY query will be as follows −

sqlite> SELECT NAME, SUM(SALARY) FROM COMPANY GROUP BY NAME;

这会产生以下结果 −

This will produce the following result −

NAME        SUM(SALARY)
----------  -----------
Allen       15000.0
David       85000.0
James       10000.0
Kim         45000.0
Mark        65000.0
Paul        20000.0
Teddy       20000.0

现在,让我们使用以下 INSERT 语句在 COMPANY 表中创建三条记录。

Now, let us create three more records in COMPANY table using the following INSERT statements.

INSERT INTO COMPANY VALUES (8, 'Paul', 24, 'Houston', 20000.00 );
INSERT INTO COMPANY VALUES (9, 'James', 44, 'Norway', 5000.00 );
INSERT INTO COMPANY VALUES (10, 'James', 45, 'Texas', 5000.00 );

现在,我们的表具有以下重复的记录。

Now, our table has the following records with duplicate names.

ID          NAME        AGE         ADDRESS     SALARY
----------  ----------  ----------  ----------  ----------
1           Paul        32          California  20000.0
2           Allen       25          Texas       15000.0
3           Teddy       23          Norway      20000.0
4           Mark        25          Rich-Mond   65000.0
5           David       27          Texas       85000.0
6           Kim         22          South-Hall  45000.0
7           James       24          Houston     10000.0
8           Paul        24          Houston     20000.0
9           James       44          Norway      5000.0
10          James       45          Texas       5000.0

同样,让我们使用相同的语句按 NAME 列对所有记录进行分组,如下所示 −

Again, let us use the same statement to group-by all the records using NAME column as follows −

sqlite> SELECT NAME, SUM(SALARY) FROM COMPANY GROUP BY NAME ORDER BY NAME;

这将产生以下结果。

This will produce the following result.

NAME        SUM(SALARY)
----------  -----------
Allen       15000
David       85000
James       20000
Kim         45000
Mark        65000
Paul        40000
Teddy       20000

让我们将 ORDER BY 子句与 GROUP BY 子句结合使用,如下所示 −

Let us use ORDER BY clause along with GROUP BY clause as follows −

sqlite>  SELECT NAME, SUM(SALARY)
   FROM COMPANY GROUP BY NAME ORDER BY NAME DESC;

这将产生以下结果。

This will produce the following result.

NAME        SUM(SALARY)
----------  -----------
Teddy       20000
Paul        40000
Mark        65000
Kim         45000
James       20000
David       85000
Allen       15000