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Deshansh Garg on Instagram: "When handling millions of data records, the key challenge is parallel processing without freezing the main execution flow (UI thread or primary request handler). My approach would be: 1. Workload Partitioning * Break the dataset into chunks/batches (e.g., 10k–100k records each). * Each batch is assigned to a worker thread or thread pool task. 2. Thread Pool / Executor Service * Instead of creating raw threads (which is costly at scale), use a thread pool (e.g., Execu

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