Data modification method and device and computer readable storage medium

Abstract

The invention relates to the technical field of cloud services, AND discloses a data modification method. The method comprises the steps of according to a data modifying request of the user, extracting a to-be-modified data set and a data discrimination degree from the distributed file system; performing data correlation calculation on the to-be-modified data set to obtain a data correlation set,performing data screening operation on the data correlation set and the data discrimination to obtain a to-be-modified data range set and a to-be-updated data set, and updating the to-be-updated dataset according to a preset cost function to obtain an updated value, judging a size relationship between the updated value and a preset updated threshold value, and generating a data modification set and storing the data modification set in the distributed file system until the updated value is smaller than the preset updated threshold value. The invention further provides a data modification device and a computer readable storage medium. According to the invention, an accurate and efficient data modification function can be realized.

Description

technical field [0001] The present invention relates to the technical field of cloud services, in particular to a method, device and computer-readable storage medium for data modification based on a distributed file system. Background technique [0002] Since the data storage mechanism of the distributed file system is distributed, it is impossible to locate which row and column the data exists in. Therefore, data modification based on the distributed file system is to uniformly modify all data in the file system when receiving a data modification request. [0003] At present, commonly used data modification methods in distributed file systems, such as multi-table cascading update method, the method of writing multi-level loops for modification according to JDBC (a JAVA interface for executing SQL statements), etc. Although these methods can achieve the purpose of data modification, when the amount of data is huge, multiple loops or cascading between multiple data tables are...

AI Technical Summary

Problems solved by technology

Although these methods can achieve the purpose of data modification, when the amount of data is huge, multiple loops or cascading between multiple data tables are required, which is time-consuming, requires a large amount of calculation, and the speed of data modification will also slow down.

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