The ALTER TABLE command also lets you modify an existing column. How to Modify a Column in an Existing Table? Now that you know the syntax to add columns in SQL, use it to add two columns, ‘E_Address’ and ‘E_Salary,’ to your already existing ‘Employee’ table. With the same ALTER TABLE command, you can quickly add multiple columns to an existing table through a single ALTER TABLE command. NOTE: You will have to use a Microsoft SQL server throughout. You have set the ‘E_ID’ column as a primary key and the ‘E_Email_Id’ column as unique. INSERT INTO Employee VALUES (4, 'Rachel', 'F', 'ra.com') Īs you can see, the code mentioned above creates the ‘Employee’ table with four columns and four rows. INSERT INTO Employee VALUES (3, 'Florina', 'F', 'fl.com') INSERT INTO Employee VALUES (2, 'David', 'M', 'da.com') INSERT INTO Employee VALUES (1, 'George', 'M', 'ge.com') For this example, you must create a table named ‘Employee’ with E_ID, E_Name, E_Gender, and E_Email_Id columns. In the end, you will use the SELECT statement to view the table. Hence, before starting with anything else, create a table using the CREATE TABLE command and populate it using the INSERT INTO statement. Here, you will explore the ways to add column in sql to an existing table here. This command lets you add, modify, and delete several things including, constraints, views, and columns in SQL. For this, you can use the ALTER TABLE command. Hence, programmers are not likely to take that option leaving the better choice to add another column at disposal. The first option is not a good choice as it will consume a lot of time, especially if the table has vast data. There are two options available you can take backup, drop the table, and create a new one or add another column to the table. But now, HR comes and says that they want you to add column in SQL to the already created Employee table. You already successfully created the table. The HR and senior managers ask you to include columns such as employee_id, first_name, last_name, gender, email_id, and address. Picture this, you have created a large table in a database to manage employee data.
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