MySQL Replace String Function
Summary: in this tutorial, we will show you how to use the MySQL REPLACE string function to replace a substring with another in a string.
Introduction to MySQL REPLACE string function
MySQL provides you with a useful string function called REPLACE
that allows you to replace a string in a column of a table with a new string.
The syntax of the REPLACE
the function is as follows:
REPLACE(str,old_string,new_string);
The REPLACE
the function has three parameters. It replaces the old_string
by the new_string
in the string
Notice there is a statement also called REPLACE used to insert or update data. You should not confuse the REPLACE
statement with the REPLACE
string function.
The REPLACE
the function is very handy to search and replace text in a table such as updating obsolete URLs, correcting a spelling mistake, etc.
The syntax of using the REPLACE
function in an UPDATE statement is as follows:
UPDATE tbl_name
SET
field_name = REPLACE(field_name,
string_to_find,
string_to_replace)
WHERE
conditions;
Note that when searching for text to replace, MySQL uses the case-sensitive match to perform a search for a string to be replaced.
MySQL REPLACE string function example
For example, if you want to correct the spelling mistake in the products
the table in the sample database, you use the REPLACE
function as follows:
UPDATE products
SET
productDescription = REPLACE(productDescription,
'abuot',
'about');
The query finds all occurrences of a spelling mistake abuot
and replaces it with the correct word about in the productDescription
column of the products
table.
It is very important to note that in the REPLACE
function, the first parameter is the column name without quotes (“). If you put the quotes to the field name like “field_name”, the query will update the content of that column to “field_name”, which is causing unexpected data loss.
The REPLACE
the function does not support regular expression so if you need to replace a text string with a pattern you need to use MySQL user-defined function (UDF) from an external library, check it out here MySQL UDF with Regex
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