Question
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Add a constraint called CheckPopulation that ensures Area is less than Population. CREATE TABLE Country ( Area DECIMAL \( (9,2) \), Population INTEGER, Name VARCHAR (60), Area ELOAT, /* Your code goes here */ ); Complete the statement to drop the above constraint. ALTER TABLE Country \( \square \) /* Your code goes here */ 3 Check Next

Ask by Guzman Gross. in the United States
Jan 30,2025

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Answer

To add the `CheckPopulation` constraint, use: ```sql ALTER TABLE Country ADD CONSTRAINT CheckPopulation CHECK (Area < Population); ``` To remove it, use: ```sql ALTER TABLE Country DROP CONSTRAINT CheckPopulation; ```

Solution

To add a constraint called `CheckPopulation` that ensures `Area` is less than `Population`, you would use the following SQL statement: ```sql ALTER TABLE Country ADD CONSTRAINT CheckPopulation CHECK (Area < Population); ``` To drop the constraint `CheckPopulation`, you would use the following SQL statement: ```sql ALTER TABLE Country DROP CONSTRAINT CheckPopulation; ``` So, the complete statements would be: 1. To add the constraint: ```sql ALTER TABLE Country ADD CONSTRAINT CheckPopulation CHECK (Area < Population); ``` 2. To drop the constraint: ```sql ALTER TABLE Country DROP CONSTRAINT CheckPopulation; ``` Make sure to execute these statements in the appropriate SQL environment where your `Country` table is defined.

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Bonus Knowledge

To create a constraint that ensures the `Area` is less than the `Population`, you might add a `CHECK` constraint in your table definition. Here's how you can complete the statement to drop that constraint: ```sql ALTER TABLE Country DROP CONSTRAINT CheckPopulation; ``` Now, you might be wondering where this idea of checking data integrity comes from. Back in the early days of database systems, data integrity wasn't always a priority, leading to a mess of inconsistent data. Thankfully, with the introduction of constraints like `CHECK`, databases can enforce rules and maintain high data quality! Speaking of practical uses, when designing applications that rely on databases, integrating constraints helps prevent costly mistakes. For instance, in a country demographics application, ensuring that the area is less than the population can help avoid illogical entries (like claiming a 1km² country with a billion inhabitants). It’s a simple yet effective way to maintain realistic data!

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