Data processing method and device

Abstract

The embodiment of the invention discloses a data processing method and device, wherein the method comprises the following steps that when at least one piece of service data information is received, the at least one piece of service data information is stored into a service static database; at least one piece of service data information of the first kind of service information is stored into a dynamic trading database; whether an access request of the first kind of service information of at least one service user exists or not is monitored, and the initial visiting time is recorded; from the recorded initial accessing time, the service information, not monitored in the set time range, of the access request of the at least one piece of service data information is deleted from the dynamic trading database. The embodiment of the invention also correspondingly discloses a data processing device. When the embodiment of the invention is adopted, the database is divided into the service static database and the dynamic trading database, the trading database gets rid of static service data information to become a light-weight database, and the database access efficiency is improved.

Description

technical field [0001] The present invention relates to the field of information processing, in particular to a data processing method and device. Background technique [0002] The rapid development of information has promoted the surge in the amount of data. As a carrier for storing various business data information, the storage capacity of the database is limited by the storage space. The storage of large amounts of data takes up a large amount of data storage space in the database, and also seriously affects the efficiency of data access. In order to reduce the storage and access pressure of the database server, the usual practice is to use a distributed system to split the data and distribute the data to different database servers, and the client accesses the specified database through routing or preset rules, so that the system The data volume and access load are distributed among multiple data servers. [0003] Using the above method to divide data into databases can...

AI Technical Summary

Problems solved by technology

[0003] Using the above method to divide data into databases can reduce the data storage and access pressure of each data server, but when performing data access or data modification operations, it may involve the collaborative work of multiple servers, which not only increases the system work. The complexity, and to a certain extent, reduces the efficiency of database access

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