A Multi-Level Index Construction Method for Master-Slave Blockchain

Master-slave blockchain is a novel information processing technology that is domain-oriented and uses efficient cryptography principles for trustworthy communication and storage of big data. With the exponential growth of the scale of domain data, the existing master-slave blockchain system has increasingly serious problems such as low query efficiency and long traceability time. To address these issues, we propose a multi-level index construction method for master-slave blockchain (MSMLI). Firstly, MSMLI introduces a weight matrix and partitions the entire master-slave blockchain based on the master chain structure, and the weight of each partition is assigned. Secondly, for the master blockchain in each partition, a master chain index construction method based on jump consistent Hash (JHMI) is proposed, which takes the key value of the nodes and the number of index slots as input and outputs the master chain index. Finally, a Bloom filter is introduced to improve the column-based selection function and a secondary composite index on the subordinate blockchain corresponding to each master block is built. Experimental results on three constraint conditions and two types of datasets demonstrate that the proposed method reduces the index construction time by an average of 9.28%, improves the query efficiency by 12.07%, and reduces the memory overhead by 24.4%.