![]() Now, use the WHERE clause to replace the ‘.’ character in the Contact_No column with ‘-’ for a row with C_ID = 5 before applying it to the entire table.Ĭontact_No = REPLACE(Contact_No, '.', '-') ![]() ![]() You can check it with the WHERE clause’s help to first apply it in a single row. But while working with large tables where the number of affected rows is more, it is essential to check if the function executes as expected. Thus, the mistakes in all the fields were quickly taken care of with a single line of command with the use of replace in SQL. If you would have noticed, this demo incorrectly entered the country code for the USA clients to be ‘+2’ instead of ‘+1.’ Let’s use replace in SQL along with the UPDATE statement to correct this error.Ĭontact_No = REPLACE(Contact_No, '+2', '+1') Īs you can see, all the Contact_No data with ‘+2’ were replaced with ‘+1’. Before getting into anything, create the Customers table using the CREATE TABLE command and insert some values using the INSERT INTO command. Suppose you have entered the wrong country code in the contact list and want to replace it with the correct code for all the country’s contacts. So let’s move to use the SQL replace() function along with the UPDATE statement to update data in a table.Ī real-world example can be managing the Customers' table of global clients. However, in SQL, you will work with tables and databases. In this article, you have seen some examples of using replace in SQL with literal strings. How to Use Replace in SQL With the UPDATE Statement? Hence, it will simply return the exact string without making any changes. Since the replace() function search is case sensitive, it will not consider ‘Sql’ the same as ‘SQL.’ Thus, for the server, there is no SQL in the original string. REPLACE("Welcome to Simplilearn's SQL Tutorials", 'Sql', 'Java') Output: REPLACE('This tea store serves the best tea from a teapot', 'tea', 'coffee') Output:Īs you can see, all the occurrences of the substring ‘tea’ were replaced with the New_substring ‘coffee,’ even if the substring was attached to other characters as with the word ‘teapot.’ But if you pass an Old_substring that is not present in the string expression, the SQL replace() function will return the string as it is. Let’s look at another example where there are multiple occurrences of the Old_substring and replace them with the New_substring. This was a simple use case with only a single occurrence of the Old_substring. REPLACE('This is Java Tutorial', 'Java', 'SQL') Output:Īs you can see in the output, the substring ‘Java’ was replaced by ‘SQL.’ Thus, the replace function will search for Java and replace it with SQL. Let’s look at an example to better understand the syntax of replace in SQL and how it works. Thus, always make sure to use the exact string that you want to search for and replace. Note: The strings that you include in the replace() function are case-sensitive. New_substring: It is the new substring that you want to include in place of the Old_substring.Old_substring: It is the substring that you want to look for in the string and replace.String: It is the expression or the string on which you want the replace() function to operate.REPLACE(String, Old_substring, New_substring) Thus, whenever you want to replace something like a dead link or a product name, the replace() function is the way to go. Replace in SQL is a built-in function that allows you to replace all the incidents of a substring within a specified string with a new substring. But ‘replace in SQL’ provides another efficient way to do this. That’s the basic way that pops into everyone’s mind. One option you have is to delete the record and then add it with a new value. While managing an extensive database as an data analyst, you might sometimes want to replace a string data field substring with another.
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