Data query method, computer equipment and storage medium

Abstract

The present invention provides a data query method, computer equipment and storage medium. The method includes: receiving a first user query request; generating a first index query request according to the first jvm contract name and each first query parameter and sending it to the first jvm The query server is used for the first jvm query server to load the first jvm contract in the jvm according to the name of the first jvm contract, generate the first index according to each first query parameter, and return it; receive the first index, according to the first index in the block The first query result is queried in the chain database; the first query result is sent to the first jvm query server, so that the first jvm query server can deserialize the first query result in the jvm that loads the first jvm contract. The second query result is generated and returned; the second query result is received, and the second query result is returned to the first client. The invention ensures that the performance of executing transactions is not affected by the high concurrent invocation of the virtual machine, and improves the tps of the blockchain system.

Description

technical field [0001] The present application relates to the technical field of the Internet, in particular to a data query method, computer equipment and storage media. Background technique [0002] In the existing blockchain system, the smart contract of the blockchain needs to be executed in a virtual machine (eg, EVM, JVM, etc.). [0003] Taking the blockchain system that loads and executes smart contracts through the JVM as an example, when a blockchain node processes a query request, it needs to load the smart contract corresponding to the query request in the JVM. [0004] The problem with the above technical solution is that the query function is a highly concurrent function, that is, when many users send many query requests at the same time, the process of running the blockchain needs to call multiple virtual machines concurrently and continue to execute transactions , leading to a reduction in the performance of its transaction execution, thereby reducing the tps...

AI Technical Summary

Problems solved by technology

[0004] The problem with the above technical solution is that the query function is a highly concurrent function, that is, when many users send many query requests at the same time, the process of running the blockchain needs to call multiple virtual machines concurrently and continue to execute transactions , leading to a decrease in the performance of executing transactions, thereby reducing the tps of the entire blockchain system

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