Converting Numeric Values to Character Strings in MySQL

Q

How To Convert Numeric Values to Character Strings in MySQL?

✍: FYIcenter.com

A

You can convert numeric values to character strings by using the CAST(value AS CHAR) function as shown in the following examples:

SELECT CAST(4123.45700 AS CHAR) FROM DUAL;
   4123.45700
   -- How to get rid of the last 2 '0's?

SELECT CAST(4.12345700E+3 AS CHAR) FROM DUAL;
   4123.457
   
SELECT CAST(1/3 AS CHAR);
   0.3333
   -- Very poor conversion

⇒ Converting Character Strings to Numeric Values in MySQL

⇐ Expressions with NULL Values in MySQL

⇑ Introduction to SQL Basics in MySQL

⇑⇑ MySQL Database Tutorials

2018-03-28, 4663🔥, 0💬

Converting Character Strings to Numeric Values in MySQL
How To Convert Character Strings to Numeric Values in MySQL? You can convert character strings to numeric values by using the CAST(string AS DECIMAL) or CAST(string AS SIGNED INTEGER) function as shown in the following examples: SELECT CAST('4123.45700' AS DECIMAL) FROM DUAL; 4123.46 -- Very poor co... 2018-03-28, 3051🔥, 0💬

Entering Binary Numbers in MySQL
How To Enter Binary Numbers in SQL Statements in MySQL? If you want to enter character strings or numeric values as binary numbers, you can quote binary numbers with single quotes and a prefix of (B), or just prefix binary numbers with (0b). Binary numbers will be automatically converted into charac... 2018-03-31, 2572🔥, 0💬

What Is NULL Value in MySQL
What Are NULL Values in MySQL? NULL is a special value that represents no value. Here are basic rules about NULL values: NULL presents no value. NULL is not the same as an empty string ''. NULL is not the same as a zero value 0. NULL can be used as any data type. NULL should not be used in any compa... 2018-03-28, 2513🔥, 0💬

Using CASE Expression in MySQL
How To Use CASE Expression in MySQL? There are 2 ways to use the CASE expression. The first way is to return one of the predefined values based on the comparison of a given value to a list of target values. The second way is to return one of the predefined values based on a list of conditions. Here ... 2018-03-24, 2506🔥, 0💬

Using IN Conditions in MySQL
How To Use IN Conditions in MySQL? An IN condition is single value again a list of values. It returns TRUE, if the specified value is in the list. Otherwise, it returns FALSE. Some examples are given in the tutorial exercise below: SELECT 3 IN (1,2,3,4,5) FROM DUAL; 1 SELECT 3 NOT IN (1,2,3,4,5) FRO... 2018-03-28, 2480🔥, 0💬

Using Regular Expression with REGEXP in MySQL
How To Use Regular Expression in Pattern Match Conditions in MySQL? If you have a pattern that is too complex for LIKE to handle, you can use the regular expression pattern condition: REGEXP. The following tutorial exercise provides you some good examples: SELECT 'FYICenter.com' REGEXP '.*fyi.*' FRO... 2018-03-24, 2429🔥, 0💬

Entering Boolean Values in MySQL
How To Enter Boolean Values in SQL Statements in MySQL? If you want to enter Boolean values in SQL statements, you use (TRUE), (FALSE), (true), or (false). Here are some good examples: SELECT TRUE, true, FALSE, false FROM DUAL; +------+------+-------+------- +| TRUE | TRUE | FALSE | FALSE | +------+... 2018-03-31, 2354🔥, 0💬

Entering Numeric Values as HEX Numbers in MySQL
How To Enter Numeric Values as HEX Numbers in MySQL? If you want to enter numeric values as HEX numbers, you can quote HEX numbers with single quotes and a prefix of (X), or just prefix HEX numbers with (0x). A HEX number string will be automatically converted into a numeric value, if the expression... 2018-03-31, 2335🔥, 0💬

Expressions with NULL Values in MySQL
What Happens If NULL Values Are Involved in Expressions in MySQL? If NULL values are used in expressions, the resulting values will be NULL values. In other words: Arithmetic expressions with NULL values result NULL values. Comparison expressions with NULL values result NULL values. Logical expressi... 2018-03-28, 2285🔥, 0💬

All rights in the contents of this web site are reserved by the individual author. fyicenter.com does not guarantee the truthfulness, accuracy, or reliability of any contents.