Beats 97.68% of solution || Deep Explaination || Beginner Freindly with solution.
Intuition\nTo identify products that had significant sales (at least 100 units) during a specific period (February 2020), we need to:\n1. Join the Products tabl
## Intuition\nTo identify products that had significant sales (at least 100 units) during a specific period (February 2020), we need to:\n1. Join the `Products` table with the `Orders` table to access both product details and order quantities.\n2. Filter the orders to include only those within the desired date range.\n3. Aggregate the order quantities for each product.\n4. Select only those products that meet the sales threshold (100 units or more).\n\n## Approach\n1. **Join Tables**: Use an `INNER JOIN` to combine the `Products` and `Orders` tables based on `product_id`.\n2. **Filter by Date**: Use a `WHERE` clause to filter orders that fall within February 2020.\n3. **Aggregate Sales**: Use `SUM` to calculate the total units sold for each product within the date range.\n4. **Group by Product**: Use `GROUP BY` to aggregate results by `product_id`.\n5. **Filter by Units Sold**: Use `HAVING` to filter results to include only those products with at least 100 units sold.\n\n## Complexity\n- **Time Complexity**: \n  - Joining two tables involves scanning both tables, which is \\(O(n \\cdot m)\\) where \\(n\\) is the number of products and \\(m\\) is the number of orders.\n  - Filtering by date and grouping by product involves scanning and processing the orders, which is \\(O(m)\\).\n  - Aggregation and filtering in the `HAVING` clause involves additional processing, which is \\(O(k)\\), where \\(k\\) is the number of distinct products in the filtered orders.\n  \n  Overall, the time complexity is \\(O(n \\cdot m + m + k)\\).\n\n- **Space Complexity**: \n  - The space needed for the join and the result set is proportional to the size of the input and the intermediate results, which is \\(O(n + m + k)\\).\n\n## Code\n```sql\n-- Write your MySQL query statement below\nSELECT p.product_name, \n       SUM(o.unit) AS unit \nFROM Products p \nJOIN Orders o \nON p.product_id = o.product_id \nWHERE o.order_date >= \'2020-02-01\' \n  AND o.order_date <= \'2020-02-29\'\nGROUP BY o.product_id \nHAVING unit >= 100;\n```\n\nThis query:\n1. **Joins** the `Products` table (`p`) with the `Orders` table (`o`) on the `product_id`.\n2. **Filters** orders to those with `order_date` between \'2020-02-01\' and \'2020-02-29\'.\n3. **Aggregates** the total units sold for each product using `SUM(o.unit)`.\n4. **Groups** the results by `product_id`.\n5. **Filters** the aggregated results to include only products with total units sold greater than or equal to 100.
['MySQL']