User associated data processing method and device, equipment and storage medium

Abstract

The embodiment of the invention discloses a user associated data processing method and device, equipment and a storage medium, and the method comprises the steps: obtaining a user data processing strategy and stored user identifiers, and storing the user identifiers in groups according to respective identifier calculation results; obtaining user associated data corresponding to the user identifier, wherein the user identifier and the user associated data are separately stored; determining a to-be-processed user meeting the user data processing strategy according to the user associated data, creating an event generation process, and generating a processing event of the to-be-processed user through the event generation process; and creating an event execution process, and executing the processing event through the event execution process. According to the scheme, the data processing efficiency is improved, the processing error rate is reduced, the processing operation process is simplified, and meanwhile the data processing flexibility is improved.

Description

technical field [0001] The embodiments of the present application relate to the field of computers, and in particular, to a method, device, device, and storage medium for processing user-associated data. Background technique [0002] For users' online social activities, the system will automatically record the social behavior accordingly. For example, for each user, the system maintains a user homepage, and the visitor information of the homepage will be displayed on the user homepage, and the system will record the number of associated visitors and the visiting time of the visitors for each user. [0003] In the prior art, the storage method for user-associated data is usually to store the corresponding user IDs in the associated data according to the data range, for example, the number of visitors 0-4 corresponds to the user ID of the user, and the number of visitors 5-20 corresponds to the user ID of the user User IDs are stored together. The disadvantage of this method...

AI Technical Summary

Problems solved by technology

The disadvantage of this method is that when the user's associated data changes, the user ID is migrated in each data interval, which has the problems of low operation efficiency and error-prone operation; when the associated data adjustment strategy changes, the data interval needs to be split , merging and other operations, the operation is complicated; the distribution of the number of user IDs in the data range is uneven, which leads to a decrease in data processing efficiency, and during the concurrent processing of data, the operation time for data ranges with a large number of user IDs will increase significantly; When adjusting the associated data, there is a large amount of non-adjusted redundant information in the data interval, which seriously affects the efficiency of data traversal; during data processing, the data addition operation and the conditional judgment operation during data processing are performed together, which is not conducive to data load sharing

At the same time, when processing user-associated data, different processing rules are mixed in the same code, and any change in processing rules requires re-upgrading of all processes, making the processing process longer and increasing the risk of errors; For targeted processing, the data in the data interval needs to be queried one by one, and the processing efficiency is extremely low

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