Data compression method and device, compression server and storage medium

Abstract

The invention discloses a data compression method and device, a compression server and a storage medium. The method comprises the steps of determining an adaptive compression dictionary under a current service request in a dynamically updated compression dictionary set; and compressing the service response data under the current service request by adopting the adaptive compression dictionary, andadding the compressed service response data into a training sample library corresponding to the compression dictionary set so as to dynamically train the latest compression dictionary in the compression dictionary set. According to the technical scheme provided by the invention, the situation that the compression efficiency is too low when a fixed compression dictionary is adopted to compress theservice data with changed features is avoided; the highest compression matching performance of the latest compression dictionary and the current service data characteristics is guaranteed; the latestcompression dictionary is subsequently adopted as the adaptive dictionary characteristics for data compression; the situation that the data compression efficiency is continuously reduced along with time lapse is avoided; the adaptivity of the data compression is improved; and the consistency of the compression efficiency along with time lapse is kept.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of data processing, and in particular, to a data compression method, device, compression server, and storage medium. Background technique [0002] With the rapid development of Internet technology, the business data interaction between the client and the server in different business scenarios is becoming more and more extensive. At this time, in order to ensure the real-time interaction of business data, data compression is usually used to reduce the The amount of data interaction between the client and the server, thereby increasing the data transmission rate and reducing the delay of the client's business response to the server. [0003] At present, the most common data compression algorithm is data compression based on the dictionary method. This dictionary compression algorithm can support the server to train the corresponding compression dictionary according to the attribute ch...

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Problems solved by technology

[0003] At present, the most common data compression algorithm is data compression based on the dictionary method. This dictionary compression algorithm can support the server to train the corresponding compression dictionary according to the attribute characteristics of business data in different scenarios, and then use the trained compression dictionary for different Compress the business data at any moment, but as the characteristics of the business data change at different times, the compression dictionary trained based on the business data in the historical stage will not match the attribute characteristics of the newly generated business data in the current stage. , so that the compression efficiency of business data decreases over time, resulting in the problem of interaction delay between the business data interaction between the client and the server as the interaction time goes by

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