Leetcode SQL 50: Querying Products that are Both Low Fat and Recyclable 🍏♻️
Welcome, fellow data explorers! Today, we’re diving into the wonderful world of SQL to uncover the ids of products that are both low fat and recyclable. It's like searching for the unicorns of the grocery aisle! 🦄 Let’s get into it!
The Scenario 🛒
Imagine we have a table called products
that contains three columns: product_id
, low_fats
, and recyclable
. Here’s what our table looks like:
product_id | low_fats | recyclable |
1 | Y | Y |
2 | N | Y |
3 | Y | N |
4 | Y | Y |
5 | N | N |
product_id: Unique identifier for each product.
low_fats: Indicates if the product is low fat (Y for Yes, N for No).
recyclable: Indicates if the product is recyclable (Y for Yes, N for No).
The Quest 🔍
Our mission, should we choose to accept it, is to find all product_id
s where the product is both low fat and recyclable. Let’s conjure up some SQL magic! ✨
The SQL Query 🧙♂️
Here’s the spell we’ll cast:
SELECT product_id
FROM products
WHERE low_fats = 'Y' AND recyclable = 'Y';
Breaking It Down 🛠️
SELECT product_id: We want to retrieve the
product_id
from our table.FROM products: This specifies that we're looking in the
products
table.WHERE low_fats = 'Y' AND recyclable = 'Y': This condition filters our results to only include products that are both low fat and recyclable.
Example Time! 🎉
Let’s apply our SQL query to our sample products
table. Here’s how it works:
- Input Table:
product_id | low_fats | recyclable |
1 | Y | Y |
2 | N | Y |
3 | Y | N |
4 | Y | Y |
5 | N | N |
- Running Our Query:
When we run our SQL query, it scans through the products
table and filters the rows based on our conditions. The magic happens!
- Output Table:
product_id |
1 |
4 |
And voilà! 🎊 We’ve successfully identified products 1 and 4 as the champions of being both low fat and recyclable!
Conclusion 🎇
There you have it! With just a sprinkle of SQL, we’ve managed to uncover the product ids that meet our criteria. Now you can impress your friends with your newfound database wizardry! 🧙♂️✨
Feel free to try this out with your own datasets, and who knows what other delightful insights you might uncover? Until next time, happy querying! 🌟