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This is the 24th Video of our Playlist "Design Data Structure : Popular Interview Problems" by codestorywithMIK

Today we will be solving a very Good problem based on Design Data Structure - Design Movie Rental System | Detailed Analysis | Leetcode 1912 | codestorywithMIK

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Problem Name : Design Movie Rental System | Detailed Analysis | Leetcode 1912 | codestorywithMIK
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Leetcode Link : https://leetcode.com/problems/design-...


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Video Summary :
We maintain two main data structures:
available - stores unrented copies of each movie in a sorted set by price and shop, allowing us to quickly find the cheapest 5 available copies for search().
movieToShopPrice - maps each movie to its shop-price pairs for efficient price lookup during rent() and drop().
For currently rented movies, we use a global set of tuples {price, shop, movie}, which keeps all rented movies sorted by price, then shop, then movie, enabling efficient retrieval of the top 5 cheapest rented movies in report().
All operations rely on logarithmic-time set insertions, deletions, and lookups, giving a balance between fast access and ordered traversal.

✨ Timelines✨
00:00 Introduction
00:16 Motivation
00:54 Problem Explanation
06:36 Thought Process +Why Map
09:27 MovieRentingSystem()
10:39 Search()
13:00 report()
16:37 rent() + Why different Map + lower_bound
27:12 drop()
29:17 Homework + Can we use vector instead of map ?
30:09 Coding it up + Time and Space Complexity

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