A data processing method and device, electronic equipment and computer readable medium

By receiving data processing requests, generating second program data, and obtaining version dependency information, the problem of low efficiency and accuracy during database upgrades is solved, and efficient and easily scalable data upgrade processing is achieved.

CN115993981BActive Publication Date: 2026-07-03CHINA CONSTRUCTION BANK +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
CHINA CONSTRUCTION BANK
Filing Date
2023-01-09
Publication Date
2026-07-03

AI Technical Summary

Technical Problem

Existing database scripts suffer from low efficiency and accuracy during data upgrades, especially during database version updates. When upgrade scripts involve sequential execution of operations or batch updates of code tables, efficiency and accuracy issues arise.

Method used

By receiving data processing requests, obtaining first program data and database parameter identifiers, generating second program data, responding to the existence of a corresponding database in the target container, obtaining version dependency information, and executing an upgrade process based on the version dependency information, including locating judgment conditions, inserting database parameter identifiers, obtaining current version information and dependencies between other versions, thus achieving efficient data upgrade.

Benefits of technology

It enables the rapid and accurate acquisition of version dependencies required for data upgrades, ensuring the efficiency and scalability of data upgrades, and improving the speed and accuracy of upgrades.

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Abstract

This application discloses a data processing method, apparatus, electronic device, and computer-readable medium, relating to the field of big data processing technology. One specific embodiment includes receiving a data processing request and obtaining corresponding first program data and database parameter identifiers; generating second program data based on the first program data and database parameter identifiers; in response to the existence of a database corresponding to the second program data in a target container, obtaining version dependency information from the database; and executing an upgrade process for the first program data based on the version dependency information. This allows for the rapid and accurate acquisition of version dependencies required for data upgrades, and, based on the versions obtained from the version dependency relationships and the execution order of the dependent versions, enables efficient and easily scalable data upgrade processing.
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