在SQL语句里面如何将字符型转换成数字型？

Posted 2023-03-28

参考技术A

先检查金额列的数据是否都符合小数规范，用cast(金额 as decimal(10,4))>500或者

convert(decimal(10,4),金额)>500

注：decimal的长度和小数位数根据自己需要设定

sql中将字符串数字转换成数字：

方法一：SELECT CAST('123' AS SIGNED integer);

方法二：SELECT CONVERT('123',SIGNED);

方法三：SELECT '123'+0;

扩展资料：

能将字符型转换成数字型，就能将数字转化为字符，对于精确数值的数据类型，转换出来的字符串就是我们存储的数值。比如：

declare @i int

set @i=123456789

print 'test:'+convert(varchar(20),@i)

输出就是：test:123456789

而如果对于近似数值的数据类型，那么可就没有那么简单了。

declare @i float

set @i=123456789

print 'test:'+convert(varchar(20),@i)

输出结果：test:1.23457e+008

在SQL语句里面如何将字符型转换成数字型

在SQL语句里面如何将字符型转换成数字型
sql字符串转数字 
用cast(金额 as decimal(10,4))或者 convert(decimal(10,4),金额)

SELECT 2023, sum( convert(decimal(10,4),[paymoney])) FROM [IMS_PUB_1].[dbo].[A]-- where SalaryMonth like '2015.%'
union all
SELECT 2015, sum( convert(decimal(10,4),[paymoney])) FROM [IMS_PUB_1].[dbo].[A] where SalaryMonth like '2015.%'
union all
SELECT 2016, sum( convert(decimal(10,4),[paymoney])) FROM [IMS_PUB_1].[dbo].[A] where SalaryMonth like '2016.%'
union all
SELECT 2017, sum( convert(decimal(10,4),[paymoney])) FROM [IMS_PUB_1].[dbo].[A] where SalaryMonth like '2017.%'
union all
SELECT 2018, sum( convert(decimal(10,4),[paymoney])) FROM [IMS_PUB_1].[dbo].[A] where SalaryMonth like '2018.%'
union all
SELECT 2019, sum( convert(decimal(10,4),[paymoney])) FROM [IMS_PUB_1].[dbo].[A] where SalaryMonth like '2019.%'
union all
SELECT 2020, sum( convert(decimal(10,4),[paymoney])) FROM [IMS_PUB_1].[dbo].[A] where SalaryMonth like '2020.%'
union all
SELECT 2021, sum( convert(decimal(10,4),[paymoney])) FROM [IMS_PUB_1].[dbo].[A] where SalaryMonth like '2021.%'
union all
SELECT 2022, sum( convert(decimal(10,4),[paymoney])) FROM [IMS_PUB_1].[dbo].[A] where SalaryMonth like '2022.%'
union all
SELECT SalaryMonth, convert(decimal(10,4),[paymoney]) FROM [IMS_PUB_1].[dbo].[A] where SalaryMonth like '2022.%'

(无列名)    (无列名)
2023    887096.4100
2015    73909.5800
2016    86034.6400
2017    106196.8500
2018    111773.7400
2019    126841.2600
2020    108108.4000
2021    151869.9500
2022    122361.9900
2022.01    12426.3800
2022.02    12426.3700
2022.03    12426.3800
2022.04    12426.3700
2022.05    5794.2000
2022.06    9263.3100
2022.07    11555.1100
2022.08    10029.8400
2022.09    12004.6800
2022.1    12004.6700
2022.11    12004.6800