Day 16|| SQL Series || Find the Best Non-Evil Wand for Ron -Minimum Cost Query Solution||consistency
@CodeWithPoojagupta
👋 *Hello Coders!* Welcome to Day 15 of our SQL series! 🎉 In today’s session, we’re taking a magical journey to Ollivander's Wand Shop with Harry Potter and his friends to help Ron find the perfect wand. 🧙♂️✨
📝 *Problem Summary:*
We’re working with two tables, `Wands` and `Wands_Property`, to identify the best non-evil wands with high power and age, while keeping the price as low as possible. Hermione has challenged us to find the minimum galleons needed to buy each wand with specific criteria. Join me as we walk through the solution and understand how to query for this magical data.
🔍 *Solution Breakdown:*
1️⃣ *JOIN Tables:* Combine `Wands` and `Wands_Property` to access wand details.
2️⃣ *Filter for Non-Evil Wands:* Ensure we only select non-evil wands with `is_evil = 0`.
3️⃣ *Find Minimum Cost:* Use a subquery to get the minimum coins needed for each power and age.
4️⃣ *Sorting the Results:* Order by `power` in descending order, and then by `age` if powers are the same.
💻 *Solution Code:*
```sql
SELECT w.id, p.age, w.coins_needed, w.power
FROM Wands w
LEFT JOIN Wands_Property p ON w.code = p.code
WHERE p.is_evil = 0
AND coins_needed = (
SELECT MIN(w2.coins_needed)
FROM Wands w2
LEFT JOIN Wands_Property p2 ON w2.code = p2.code
WHERE p2.age = p.age
AND w2.power = w.power
AND p2.is_evil = 0
)
ORDER BY w.power DESC, p.age DESC;
```
👩🏫 *In This Video, You’ll Learn:*
Using `JOIN` to combine tables and retrieve relevant data
Filtering with the `WHERE` clause to target specific records
Subqueries to identify minimum values in grouped data
Sorting with multiple conditions
📚 *Example Walkthrough:*
We’ll break down each part of this SQL query, showing you how it helps us find the exact wands Hermione would recommend to Ron. This example is great for building your SQL skills with joins, filtering, subqueries, and ordering.
🔔 **If you’re finding this series helpful, please**:
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Happy coding, and let’s keep the SQL magic alive! 🪄💻
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