Task-based message filtering method and device, equipment and storage medium

Abstract

The invention relates to the technical field of intelligent recommendation of data analysis, and discloses a task-based message filtering method, device and equipment and a storage medium, which are used for effectively filtering messages in real time in a mode of uniformly configuring filtering tasks through tasks, so that the messages received by message consumers are all effective messages meeting conditions, the investment of hardware resources is reduced, and the development cost is saved. The method comprises the following steps: monitoring a message received and sent by message-oriented middleware; enabling the message middleware to receive a message triggered according to a user operation instruction, and wherein the user operation instruction is sent by a user according to corresponding operations of different service scenes; performing service filtering item matching on the message theme, the message type and the service scene of the message through a pre-created filtering task configuration table; and if not, determining that the message is a valid message and pushing the message to a target message consumer meeting a preset condition. The invention also relates to a blockchain technology.

Description

technical field [0001] The present invention relates to the technical field of intelligent recommendation for data analysis, in particular to a task-based message filtering method, device, equipment and storage medium. Background technique [0002] In the traditional method of implementing message filtering, message consumers usually consume valid messages by monitoring a certain message topic and message type, and consumers need to filter invalid messages by themselves. In this way, the amount of messages received and processed by each message consumer is the total amount of all messages, that is, the full amount of messages needs to be processed to exclude and filter out invalid messages, causing most of the hardware resources to be consumed by invalid messages. In addition, developers also need to filter logic for processing corresponding messages for each operation scenario, such as payment scenarios, important item delivery notifications, specific store order statistics...

AI Technical Summary

Problems solved by technology

In this way, the amount of messages received and processed by each message consumer is the total amount of all messages, that is, the full amount of messages needs to be processed to exclude and filter out invalid messages, resulting in most of the hardware resources being consumed by invalid messages

In addition, developers also need to filter logic for processing corresponding messages for each operation scenario, such as payment scenarios, important item delivery notifications, specific store order statistics, designated brand order coupons, designated brand order statistics, etc. lead to high development costs

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