Data processing method and device, node equipment and storage medium

Abstract

An embodiment of the invention discloses a data processing method, a data processing device, node equipment and a storage medium. The data processing method comprises the steps of: acquiring a transaction data set when an execution event of first transaction data is detected, wherein the transaction data set comprises a plurality of pieces of transaction data and an association relation among theplurality of pieces of transaction data; acquiring second transaction data associated with the first transaction data from the transaction data set according to the association relationship; acquiringexecution information of the second transaction data; determining a target execution mode of the first transaction data according to the execution information of the second transaction data; and executing the first transaction data according to the determined target execution mode of the first transaction data. Therefore, successful execution of the transaction data can be ensured, and the processing efficiency of the transaction data can be improved.

Description

technical field [0001] The present application relates to the field of computer technology, and in particular to a data processing method, device, node device and storage medium. Background technique [0002] With the continuous development of blockchain technology, more and more clients rely on the blockchain network to store transaction data to ensure the security of transaction data. Therefore, the blockchain network will receive a large number of transactions data, so that the pressure on node devices to execute transaction data continues to increase. In order to effectively reduce the pressure on node devices to process transaction data, currently, a fully concurrent execution method is adopted, that is, node devices open multiple threads to process multiple transaction data at the same time, but using a fully concurrent method may lead to transaction conflicts Therefore, how to effectively reduce the pressure on node devices to process transaction data and avoid trans...

AI Technical Summary

Problems solved by technology

In order to effectively reduce the pressure on node devices to process transaction data, currently, a fully concurrent execution method is adopted, that is, node devices open multiple threads to process multiple transaction data at the same time, but using a fully concurrent method may lead to transaction conflicts Therefore, how to effectively reduce the pressure on node devices to process transaction data and avoid transaction conflicts has become a current research hotspot.

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