An indexing method for a keyword key on a block chain database

Abstract

The invention provides an indexing method for a keyword key on a block chain database, which relates to the technical field of block chain data query. Firstly, the common node generates transaction records according to the original data with keyword input by the user; the storage node packages the transaction into a block; the block data is written into the disk file; transaction data is queried according to the key value, and a query result is output; normal users verify the trustworthiness of the results. The invention indexes directly according to the data keyword to realize the data inquiry. The transaction structure in the traditional block chain is extended to store the schema structure similar to the traditional database, which improves the applicability. Data authority is managed according to digital signature technology to improve data security. Whether the index is tampered with or not is judged through MerkleRBTree self-perceiving, and whether the transaction is tampered with or not is judging according to the transaction hash, so as to ensure that the data is not tampered with. At the same time, the data verification function of the lightweight node is realized, so thatthe query end can effectively detect the data credibility.

Description

technical field [0001] The invention relates to the technical field of blockchain data query, in particular to an indexing method for a keyword key on a blockchain database. Background technique [0002] With the rise of a series of cryptocurrencies such as Bitcoin and Ethereum, the underlying blockchain technology has also received more and more attention. The core intention of Bitcoin is to achieve decentralization, that is, to realize digital currency transactions between two peer-to-peer entities without the participation of third-party trusted institutions. However, there are inevitably many natural centers in the real world, such as banks that provide loans, telecom operators that provide telecom services, and so on. Although these central institutions can be regarded as peer-to-peer entities, and their transactions with users can be recorded on the blockchain, such as using Bitcoin to pay phone bills, this approach is impractical because it is not conducive to instit...

AI Technical Summary

Problems solved by technology

Although these central institutions can be regarded as peer-to-peer entities, and their transactions with users can be recorded on the blockchain, such as using Bitcoin to pay phone bills, this approach is impractical because it is not conducive to institutional management User data (including user credit rating, etc.)

In fact, the existing central institutions manage their own databases that store user-related information, but this model has many defects: 1) Different databases may store the same basic identity information of users, resulting in high data redundancy ;2) Different central institutions manage their own data, which is not conducive to data sharing among institutions; 3) Each database is mostly managed by a single institution, which makes users have to trust the institution unconditionally, and there is a centralization problem; 4) Users cannot independently verify the correctness of the data. If the data is maliciously tampered with, neither the user nor the organization can detect it.

However, there are relatively few studies on blockchain query. Most of them use synchronization technology to synchronize transaction data to traditional databases, and build indexes based on each data item to achieve fast query. However, this method does not guarantee that the index cannot be tampered with, so The immutable feature of the blockchain is lost

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