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Block chain big data processing method and system based on distributed computing

A big data processing and distributed computing technology, applied in the blockchain field, can solve the problems of reduced processing speed, time-consuming and labor-intensive synchronization of databases, time-consuming and labor-intensive installation of clients, etc.

Inactive Publication Date: 2020-01-24
张瑞
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, if each node wants to completely store the data in the blockchain, the data storage of each node will be too large, resulting in excessive load, data redundancy, easy crash, reduced processing speed, time-consuming and laborious installation of the client, and time-consuming synchronization of the database. effort and other issues

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  • Block chain big data processing method and system based on distributed computing
  • Block chain big data processing method and system based on distributed computing
  • Block chain big data processing method and system based on distributed computing

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Embodiment Construction

[0047] Such as figure 1 As shown, a distributed computing-based block chain big data processing method of the present invention includes obtaining first data;

[0048] generating a first hash value of the first data through a hash algorithm;

[0049] Splitting the first data into multiple sub-data with serial numbers according to a first preset method;

[0050] Generate a split list of the unique identification code of the node storing the sub-data corresponding to the serial number of the sub-data, and broadcast the sub-data and the split list to other nodes of the block chain;

[0051] When the first data in the block chain needs to be extracted, the second data is synthesized according to the split list, the second hash value of the second data is generated by a hash algorithm, and the first hash value and the second hash value are determined. Whether the hash values ​​are the same, if they are the same, convert the second data into the first data output, if not, replace ...

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Abstract

The invention discloses a block chain big data processing method based on distributed computing. The method comprises the following steps of when first data in a block chain needs to be extracted, synthesizing second data according to a splitting list, and generating a second hash value of the second data through a hash algorithm, judging whether the first hash value is the same as the second hash value or not, if so, outputting, and if not, replacing the nodes for storing the sub-data with the same serial number, re-synthesizing the second data and judging whether the second hash value is the same as the first hash value or not. According to the method, distributed calculation in a computer algorithm is used for reference to enable a plurality of nodes to store the sub-data split from the first data;. The data capacity required to be stored by each node can be reduced, and the data is not completely public, so that the user privacy and the data privacy are protected, the load capacity of each node is reduced, the installation speed and the synchronization speed of the block chain client are improved, the frequency of node crash is reduced, and the safety and the processing speedof the block chain data are improved.

Description

technical field [0001] The present invention relates to a block chain technology, in particular to a block chain big data processing system based on distributed computing. Background technique [0002] The distributed computing method distributes a huge task by unpacking it to each node, so that like ants moving house, multiple small nodes can be used to complete a large task, thereby reducing the load on a single node. [0003] In the blockchain technology, each node needs to store the data in the entire blockchain, so as to achieve the effects of decentralization and non-tampering. However, if each node wants to completely store the data in the blockchain, the data storage of each node will be too large, resulting in excessive load, data redundancy, easy crash, reduced processing speed, time-consuming and laborious installation of the client, and time-consuming synchronization of the database. effort etc. [0004] Therefore, there is an urgent need for a blockchain big d...

Claims

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Application Information

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IPC IPC(8): H04L29/06H04L29/08
CPCH04L63/0407H04L67/1097H04L9/50
Inventor 不公告发明人
Owner 张瑞