@rheaenter
Decentralized database indexing improves query performance in blockchain applications by organizing data for faster retrieval. Techniques like distributed hash tables and Merkle trees enable efficient verification and access. However, decentralized systems face challenges like data fragmentation and synchronization delays. Optimizations such as sharding and caching reduce latency, while consensus mechanisms ensure data consistency. Balancing decentralization with performance requires innovative protocols that prioritize scalability without compromising security or trustlessness.
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