Blockchain data structures are the organized ways information is stored and linked within a blockchain network. These structures typically consist of blocks, each containing a collection of validated transactions, a timestamp, and a cryptographic hash of the preceding block. This sequential chaining of hashed blocks creates an immutable and tamper-resistant record of all network activity. Merkle trees are commonly employed within blocks to condense transaction data efficiently and verify data integrity with minimal computational overhead.
Context
The design of blockchain data structures directly influences a network’s scalability, security, and decentralization properties. Innovations in these structures, such as sharding or directed acyclic graphs (DAGs), aim to overcome limitations in transaction throughput and storage capacity. Understanding these underlying structures is crucial for assessing the technical viability and future potential of various blockchain protocols reported in crypto news.
TreePIR enables light clients to privately retrieve Merkle proofs from full nodes, fundamentally solving the transaction privacy dilemma in state verification.
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