Huawei Technologies Co., Limited

Chengda Wu

Yongbing Huang

This application discloses a database data compression method and a storage device, which are applicable to lossless compression of a relational database. The method includes parsing a first data block to obtain m pieces of first data, where the first data is row/column data, and the first data block is obtained based on database data. Then, the method includes classifying the m pieces of first data according to a machine learning algorithm or a deep learning algorithm, to obtain n classification categories, and transforming first data in each classification category to obtain target data. The method further includes compressing the target data to obtain compressed data. In this application, data in different rows/columns is classified according to the machine/deep learning algorithm, and then the row/column data belonging to the same classification category is transformed and compressed.

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Shenzhen, China

Chengda Wu