igoloha.blogg.se - Mysql replace

#MYSQL REPLACE UPDATE#

SELECT REPLACE('HELLO', 'H', 'HH') as replaced_string Here we are replacing occurrences of letter ‘H’ with ‘HH’ and aliasing the new column with replaced text as replaced_string. #1) Replacing a character in a given String Note: It’s important to understand the REPLACE function does a CASE-SENSITIVE match.

Replacement-string: This is the String that would be replaced against each matching sequence.

Matching-string: This denotes the character or String that needs to be matched against the String input.

This can be an actual String value of a column containing a String value.

String-input: This is the Input that we are supplying to the REPLACE function.

Let’s try to understand different components here: Syntax: REPLACE(string-input, matching-string, replacement-string) (5, 'Neha', 'Gupta', 'Delhi', 'Human Resources') (4, 'Ajay', 'Sharma', 'Mumbai', 'Software Developer'),

(3, 'Peter', 'Fennel', 'Chicago', 'Sales Manager'), (2, 'Adam', 'Johnson', 'Vancouver', 'Marketing Manager'), (1, 'Alex', 'Smith', 'Denver', 'Software Developer'), Lastname VARCHAR(100), city VARCHAR(100), designation VARCHAR(100)) CREATE TABLE employee(id INT AUTO_INCREMENT PRIMARY KEY, firstname VARCHAR(100), Let’s create a sample table and add some sample data to understand the concepts better. Unlike substituting a specific string, REPLACE statement essentially replaces the entire row in a MySQL table. There is another variant available in MySQL, which is a REPLACE INTO Statement. Same column is now used with ORDER BY query.The REPLACE function comes under the category of String functions in MySQL.

#MYSQL REPLACE UPDATE#

UPDATE y21_11 SET p_view=REPLACE(p_view,',','')Īfter removing the commas the column is changed to int type.ĪLTER TABLE `y21_11` CHANGE `p_view` `p_view` INT( 6 ) NULL DEFAULT NULL Here p_view is the column having commas inside the data and y21_11 is the table name. Here is the query to remove commas from the data.

Before converting we have to remove the, ( commas ) from the data and then apply changes. To apply any math calculation or to list in order by we have to convert the text or varchar column to integer column. In some tables we will have, ( comas ) as number formats and the column is used as text or varchar column. Remove commas, from string to convert to Integer column UPDATE emp set designation=replace(designation, 'Sales', 'Marketing') where department='Marketing' The field data saying Manger( Sales) should change to Manager( Marketing) and Manager ( HR) should not change. Now we have to apply replace query to change the department part of the designation field. In the above table, we can see the department name is changed. Update emp set department='Marketing' where department='Sales' Before that let us change the department name to Marketing by using this simple update command. Now we will try to change the departments exists within the designation field. Here is the table before any changes are applied. It should only change part of the designation saying about the particular function ( or department ). But the problem is changing the designation of GM( Sales ) to GM ( Marketing), the query should change only for 'Sales' inside department field and should not change their main designation like GM, VP or Manager. We can give a single update command in the field department to change the department name to Marketing where ever it is Sales. Now let us say that the department name Sales changed to Marketing in the organization. There are different designation given based on the name of their department like GM( finance ), Manager (HR), VP(Sales) etc. In one employee table ( name emp ) we have three fields, name designation and department. Related Tutorial Update Query Adding string to record