Block chain storage system and method for time sequence type data

Abstract

The invention discloses a block chain storage system and method for time sequence type data. The method comprises the steps that of storing a block file is stored through a block storage module; carrying out block indexing and transaction indexing through an index storage module; and carrying out write-in processing, query processing, aggregation statistics processing and expiration clearing processing on the time series data through the time series data storage module. According to the invention, writing processing, query processing, aggregation statistics processing and expiration clearing processing can be carried out on the time series data through the time series data storage module, so that native support is provided for the time series data, the application range is widened, and efficient storage, reading and aggregation operations can be realized; besides, the block file is stored through the block storage module, block indexing and transaction indexing are carried out through the index storage module, source data do not need to be stored outside, the data query efficiency is improved, operation is easy, and the method can be widely applied to the technical field of block chains.

Description

technical field [0001] The invention relates to the technical field of block chains, in particular to block chain storage systems and methods for time series data. Background technique [0002] Blockchain is a technical framework distilled from the principles of Bitcoin, and takes its name from the latter's data storage structure. The core elements of blockchain technology include distributed systems, peer-to-peer networks, smart contracts, encryption algorithms, consensus mechanisms, etc. In essence, the blockchain builds an open virtual resource transmission network. Bitcoin only defines the transmitted resources as an electronic currency, and uses the ledger to record the transfer and ownership of the currency; while the blockchain is It is a more general technical framework with the characteristics of openness and transparency, lower trust cost, non-tampering, and non-repudiation. It has important application value in scenarios such as financial insurance, product trace...

AI Technical Summary

Problems solved by technology

This method is similar to the second method, which is only suitable for private chains or alliance chains with low distribution. The advantage is that the operation is simple; the disadvantage is that the system resource requirements are higher, and the operation time is not easy to control. When the data has a certain continuity , it will increase the complexity of system docking

[0010] For time-series data, these three schemes have corresponding disadvantages, and typical key-value databases are not suitable for storing time-series data; in addition, in the application scenarios of time-series data, the Functions such as aggregation and statistics have limited support for key-value databases such as LevelDB, so they need to be implemented at the application layer of the software or with the help of a third-party system

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