Data archiving method and system

Abstract

The invention relates to a data archiving method. The method comprises the steps of executing an archiving script, wherein data types of archiving, dependency relationships among data objects and time conditions are defined in the archiving script, and the dependency relationships among the data objects are used for determining a tree data structure; and according to the dependency relationships among the data objects, migrating the data objects meeting the data types and the time conditions to an archiving server layer by layer from the data object as a leaf node until the data object as a root node is migrated. With the adoption of the method, the data objects meeting the data types and the time conditions are migrated, so that the storage space of a business system platform is saved; and the business system platform does not access historical data in the archiving server during access, so that the program running efficiency is improved.

Description

Technical field [0001] The invention relates to the field of computer technology, in particular to a method and system for archiving historical data. Background technique [0002] There are large amounts of data in many existing business system platforms, but a piece of data often has a life cycle. The so-called life cycle refers to the cycle time from when data is created to when it is not accessed, because data usually has a higher probability of being accessed when it is just created, but as time goes by, the probability of the data being accessed will become smaller and smaller , Even the number of last visits is zero. For example, a shopping order in an e-commerce platform usually has a high probability of being visited when a shopping order is created. After a common shopping order, a user will confirm that the order is serious and will visit the shopping order many times in the near future. The shopping order may also be accessed within a certain period of time. For exam...

AI Technical Summary

Problems solved by technology

[0003] Usually, the data in a business system platform is generally only added but not deleted. As time goes by, there will be more and more data that is less likely to be accessed or even will not be accessed. These historical data will inevitably occupy large amount of data storage space

At the same time, during the running of the system program, these historical data may be accessed incidentally when accessing other data, which will also affect the program efficiency

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