A method and device for data analysis

Abstract

The present invention provides a method and device for data analysis. The method includes the following steps: allocating a memory space with a preset storage amount in the memory; to the memory space; in response to receiving an instruction on the operation of the data, read the verification information stored in the disk; compare the verification information read from the disk with the verification information stored in the memory space; respond to the comparison If the results are inconsistent, the memory storage information is stored in the disk, and the memory storage information is parsed to analyze the cause of the data inconsistency. By using the method of the invention, the cause of data inconsistency can be quickly and effectively analyzed, the occupancy of system computing resources is reduced, the efficiency is improved, the access speed of consistent information is improved, and the performance of the whole machine is improved.

Description

technical field [0001] This field relates to the field of computers, and more particularly to a method and device for data analysis. Background technique [0002] The storage system is the container that carries the user's production data, and at the same time it is the fusion of efficient data utilization and disaster recovery backup. In today's rapid development of data, it is the most basic and most important of the storage system to ensure the integrity and safety of the user's data. a bottom line. The I / O process of the storage system is complex, and a large number of exception handling scenarios intersect with each other. At the same time, large loads and multi-threading are key scenarios that cause data inconsistency. The positioning cost of data inconsistency is huge, not only occupying storage computing resources Performance, the log method will also occupy a large amount of storage space, and a large number of log reads and writes will slow down the system I / O pro...

AI Technical Summary

Problems solved by technology

The I / O process of the storage system is complex, and a large number of exception handling scenarios intersect with each other. At the same time, large loads and multi-threading are key scenarios that cause data inconsistency. The positioning cost of data inconsistency is huge, not only occupying storage computing resources Performance, the log method will also occupy a large amount of storage space, and a large number of log reads and writes will slow down the system I / O processing performance

It is more complicated to locate data inconsistencies at the customer site, and the most commonly used method is to rely on logs

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