LLD - Design — Library Management SystemHow would you design a scalable hold system to handle millions of concurrent users holding items with expiration?AStore all holds in a single database table without indexingBManually check holds on every user requestCUse client-side timers to track hold expiryDUse distributed cache with TTL and a background cleanup serviceCheck Answer
Step-by-Step SolutionSolution:Step 1: Identify scalability needsMillions of users require fast, distributed, and efficient hold tracking.Step 2: Choose appropriate technologyDistributed cache with TTL (time-to-live) automatically expires holds; background cleanup ensures consistency.Final Answer:Use distributed cache with TTL and a background cleanup service -> Option DQuick Check:Scalable hold system = distributed cache + TTL [OK]Quick Trick: Distributed cache with TTL handles large scale holds efficiently [OK]Common Mistakes:MISTAKESUsing single DB table causing bottlenecksRelying on client-side timers which are unreliableChecking holds on every request causing overhead
Master "Design — Library Management System" in LLD9 interactive learning modes - each teaches the same concept differentlyLearnWhyDeepArchTryChallengeDesignRecallScale
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