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PostgreSQL GROUP BY 子句与SELECT语句配合使用,将表中具有相同数据的行组合在一起,GROUP BY子句在SELECT语句中的WHERE子句之后,在ORDER BY子句之前。
GROUP BY子句的基本语法如下,GROUP BY子句必须遵循WHERE子句中的条件,并且如果使用ORDER BY子句,则必须在ORDER BY子句之前。
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,确保要用于分组的任何列,该列都应在column-list中可用。
考虑表 COMPANY 具有以下记录:
# select * from COMPANY; id | name | age | address | salary ----+-------+-----+-----------+-------- 1 | Paul | 32 | California| 20000 2 | Learnfk | 25 | Texas | 15000 3 | Teddy | 23 | Norway | 20000 4 | Mark | 25 | Rich-Mond | 65000 5 | David | 27 | Texas | 85000 6 | Kim | 22 | South-Hall| 45000 7 | James | 24 | Houston | 10000 (7 rows)
如果您想知道每个客户的工资总额,那么GROUP BY查询将如下所示-
testdb=# SELECT NAME, SUM(SALARY) FROM COMPANY GROUP BY NAME;
这将产生以下输出-
name | sum -------+------- Teddy | 20000 Paul | 20000 Mark | 65000 David | 85000 Learnfk | 15000 Kim | 45000 James | 10000 (7 rows)
现在,让无涯教程使用以下INSERT语句在COMPANY表中再创建三个记录-
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,无涯教程的表具有以下重复名称的记录-
id | name | age | address | salary ----+-------+-----+--------------+-------- 1 | Paul | 32 | California | 20000 2 | Learnfk | 25 | Texas | 15000 3 | Teddy | 23 | Norway | 20000 4 | Mark | 25 | Rich-Mond | 65000 5 | David | 27 | Texas | 85000 6 | Kim | 22 | South-Hall | 45000 7 | James | 24 | Houston | 10000 8 | Paul | 24 | Houston | 20000 9 | James | 44 | Norway | 5000 10 | James | 45 | Texas | 5000 (10 rows)
再次,让无涯教程使用相同的语句使用NAME列对所有记录进行分组,如下所示:
testdb=# SELECT NAME, SUM(SALARY) FROM COMPANY GROUP BY NAME ORDER BY NAME;
这将产生以下输出-
name | sum -------+------- Learnfk | 15000 David | 85000 James | 20000 Kim | 45000 Mark | 65000 Paul | 40000 Teddy | 20000 (7 rows)
让无涯教程如下使用ORDER BY子句和GROUP BY子句-
testdb=# SELECT NAME, SUM(SALARY) FROM COMPANY GROUP BY NAME ORDER BY NAME DESC;
这将产生以下输出-
name | sum -------+------- Teddy | 20000 Paul | 40000 Mark | 65000 Kim | 45000 James | 20000 David | 85000 Learnfk | 15000 (7 rows)
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