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This article introduces the relevant knowledge of "floating-point and fixed-point example analysis of MySQL". In the operation of actual cases, many people will encounter such a dilemma, so let the editor lead you to learn how to deal with these situations. I hope you can read it carefully and be able to achieve something!

Single-precision floating-point numbers will produce errors. In applications that require high precision, fixed-point numbers should be used to save data. Fixed-point numbers are actually stored in the form of strings.

Mysql > create table test (C1 float (10Magne2), c2 double (10Magne2), c3 decimal (10Magne2))

Query OK, 0 rows affected (0.17 sec)

Mysql > insert into test values (851028.52, 851028.52)

Query OK, 1 row affected (0.02 sec)

Mysql > insert into test values (851028.42) 851028.52)

Query OK, 1 row affected (0.03 sec)

Mysql > select * from test

+-+

| | C1 | c2 | c3 |

+-+

| | 851028.50 | 851028.52 | 851028.52 | |

| | 851028.44 | 851028.52 | 851028.52 | |

+-+

2 rows in set (0.00 sec)

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