MYSQL数据库学习十单表数据记录查询

2022-09-26 15:08:39

10.1 简单数据记录查询

SELECT field1,field2,...fieldn

    FROM table_name;

　　“*” ——查询所有记录

SELECT * FROM table_name;

　　DISTINCT——避免重复数据查询

SELECT DISTINCT field1,field2,...fieldn

    FROM table_name;

　　AS——修改字段名

SELECT field1 【AS】 otherfield1,field2 【AS】 otherfield2

    FROM table_name;

　　CONCAT——设置显示格式

SELECT CONCAT(ename,'的年龄为',eage)

    FROM table_name;

10.2 条件数据记录查询

　　MySQL中，通过关系运算符和条件运算符来编写“条件表达式”。

SELECT field1,field2,...fieldn

    FROM table_name

        WHERE CONDITION;

　　注意：通过"&&"符号连接查询条件。

　　BETWEEN AND——判断字段的数值是否在指定范围内

SELECT field1,field2,...fieldn

    FROM table_name

        WHERE field 【NOT】 BETWEEN VALUE1 AND VALUE2;

　　IS NULL——判断字段的数值是否为空

SELECT field1,field2,...fieldn

    FROM table_name

        WHERE field IS 【NOT】 NULL;

　　IN——判断字段的数值是否在指定集合中

SELECT field1,field2,...fieldn

    FROM table_name

        WHERE field 【NOT】IN (value1,value2,value3,...valuen);

　　LIKE “%”——模糊查询，“_”——通配符查询，LIKE '%%'表示查询所有数据。

SELECT field1,field2,...fieldn

    FROM table_name

        WHERE field LIKE value;

　　NOT LIKE 也可以通过逻辑非运算符(NOT)来实现：

SELECT field1,field2,...fieldn

    FROM table_name

        WHERE field NOT LIKE value;

SELECT field1,field2,...fieldn

    FROM table_name

        WHERE NOT field  LIKE value;

10.3 排序数据记录查询

1. 升序排序-ASC

SELECT *

　　FROM table_name

　　　　ORDER BY field ASC;

ORDER BY默认升序排序。

降序排序-DESC

SELECT *

　　FROM table_name

　　　　ORDER BY field DESC;

2. 多字段排序

SELECT *

    FROM table_name

        ORDER BY field1 【ASC】, field2 DESC;

10.4 限制数据记录查询数量

SELECT field1,field2,...fieldn

    FROM table_name

        WHERE CONDITION

            LIMIT OFFSET_START,ROW_COUNT;

OFFSET_START为起始偏移量，不指定时默认为0；ROW_COUNT表示显示的行数。

10.5 统计函数和分组数据记录查询

1. 统计函数

COUNT()：统计表中记录总数

AVG()：计算字段值的平均值

SUM()：计算字段值的总和

MAX()：查询字段值的最大值

MIN()：查询字段值的最小值

注意：如果所操作的表中没有任何数据记录，COUNT()函数返回0，其他函数返回NULL。

2. 分组查询

　　GROUP BY- 按照field字段值分组，显示每组中的一条记录。

SELECT field1,field2,...fieldn

    FROM table_name

        WHERE CONDITION

        GROUP BY field;

实现多个字段分组查询：

SELECT function()

    FROM table_name

        WHERE CONDITION

        GROUP BY field1,field2;

　　GROUP_CONCAT-显示每个分组中的指定字段值：

SELECT GROUP_CONCAT(field1)

    FROM table_name

        WHERE CONDITION

        GROUP BY field;

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" 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　　HAVING-实现条件限制分组数据记录

SELECT function()

    FROM table_name

        WHERE CONDITION

        GROUP BY field1,field2,...fieldn

        HAVING CONDITION;

举例说明：

SELECT deptno,AVG(sal) average,GROUP_CONCAT(ename) enames,COUNT(ename) number

　　FROM t_employee

　　　　GROUP BY deptno

　　　　HAVING AVG(sal)>2000;

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" alt="" />

码农公寓

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