In SQL, the TEXT data type is used to store a large amount of textual data. It is a variable-length character string data type that can store up to 2^31-1 bytes of data.
The syntax for creating a column with the TEXT data type is as follows:
CREATE TABLE table_name ( column_name TEXT );
In the above syntax, table_name is the name of the table and column_name is the name of the column that will store the TEXT data.
Here is an example of how to create a table with a TEXT data type column and insert data into it:
CREATE TABLE product ( id INT PRIMARY KEY, name VARCHAR(255), description TEXT ); INSERT INTO product (id, name, description) VALUES (1, 'Phone', 'A mobile device.');
In the above example, a table named product is created with three columns: id, name, and description. The id column is set as the primary key, and the description column is set as the TEXT data type. Data is then inserted into the product table with the INSERT INTO statement, which includes a value for the description column.
It’s important to note that the TEXT data type is not suitable for indexing or sorting, as it can lead to poor performance due to its size. If you need to index or sort text data, it’s recommended to use a smaller data type such as VARCHAR.
Overall, the TEXT data type in SQL is useful for storing large amounts of textual data, such as long-form descriptions or comments, without having to worry about the length restrictions of other data types.