Sure, here is a basic SQL statement to create a "feedback" table:

```sql
CREATE TABLE feedback (
id INT AUTO_INCREMENT,
user_id INT,
comments VARCHAR(255),
rating INT,
date_submitted DATE,
PRIMARY KEY (id)
);
```

This statement creates a table named "feedback" with five columns:

1. `id`: This is the primary key. It's an integer and auto-increments, meaning that each new record will automatically be assigned an id one higher than the previous record.

2. `user_id`: This is an integer that could be used to associate each feedback entry with a user in your system.

3. `comments`: This is a string (VARCHAR) that can hold up to 255 characters. This could be used to store the actual feedback text.

4. `rating`: This is an integer that could be used to store a numerical rating.

5. `date_submitted`: This is a date that could be used to store when the feedback was submitted.

Please note that you might need to adjust this based on your specific needs, such as adding or removing columns, changing data types, or adding constraints.

Question

Sure, here is a basic SQL statement to create a "feedback" table:

```sql
CREATE TABLE feedback (
    id INT AUTO_INCREMENT,
    user_id INT,
    comments VARCHAR(255),
    rating INT,
    date_submitted DATE,
    PRIMARY KEY (id)
);
```

This statement creates a table named "feedback" with five columns:

1. `id`: This is the primary key. It's an integer and auto-increments, meaning that each new record will automatically be assigned an id one higher than the previous record.

2. `user_id`: This is an integer that could be used to associate each feedback entry with a user in your system.

3. `comments`: This is a string (VARCHAR) that can hold up to 255 characters. This could be used to store the actual feedback text.

4. `rating`: This is an integer that could be used to store a numerical rating.

5. `date_submitted`: This is a date that could be used to store when the feedback was submitted.

Please note that you might need to adjust this based on your specific needs, such as adding or removing columns, changing data types, or adding constraints.

Knowee AI · Accepted Answer