Adding a unique constraint column with SQL: Using the ALTER TABLE statement, followed by the ADD UNIQUE clause, you can add a unique constraint column to an existing table. Steps: 1. Connect to the database. 2. Identify the table. 3. Write an ALTER TABLE statement (ALTER TABLE table_name ADD UNIQUE (column_name)). 4. Execute the statement. Note: After adding a unique constraint, the constraint is enforced to avoid inserting duplicate values in the unique_column column.
Adding unique constraint columns using SQL
Question: How to add a unique constraint column using SQL?
Answer: Using the ALTER TABLE
statement, followed by the ADD UNIQUE
clause, you can add unique constraint columns to an existing table.
step:
- Connect to a database: Use the database client or command line to connect to the database containing the tables you want to modify.
-
Identify tables: Use the
USE
statement to select the table to which a unique constraint column is to be added. For example:<code class="sql">USE my_database;</code>
-
Writing an ALTER TABLE statement: Write an
ALTER TABLE
statement using the following syntax:<code class="sql">ALTER TABLE table_name ADD UNIQUE (column_name);</code>
in:
-
table_name
is the table name to be modified. -
column_name
is the column name to add a unique constraint.
-
-
Execution statement: Use the following command to execute the ALTER TABLE statement:
<code class="sql">ALTER TABLE table_name ADD UNIQUE (column_name);</code>
Example:
The following example demonstrates how to add a unique constraint column named unique_column
to a table named my_table
:
<code class="sql">USE my_database; ALTER TABLE my_table ADD UNIQUE (unique_column);</code>
Notes:
After adding a unique constraint, the database enforces the constraint, which means that no duplicate values are inserted in unique_column
column. If you try to insert a duplicate value, the database returns an error.
Before adding a unique constraint, make sure that the values in unique_column
column are unique. Otherwise, adding constraints may result in data loss.
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