A data management and data search method

Abstract

The present invention is a data management and data search method, and the data management includes the steps of: determining the management number m according to the total amount of data N; assigning a unique data id to each data; if it is an integer, determining the subdirectories under each parent ID directory Or the number of data is the number of parent IDs of the k-th layer. If it is a non-integer, then determine the subdirectories under each parent ID directory or the number of data is the kth power of the number of parent IDs of the k-th layer, 0<k<m; Generate m-1 layer parent IDs one by one according to the data id, and each layer of parent IDs forms an increasing or decreasing sequence; the data search includes steps: use parent ID generation rules to generate m-1 parent IDs according to the data id; search for m-1 parent IDs ID; search data id under the m-1th parent ID directory. The invention realizes fully automatic layered data management and high-efficiency data search under the condition of only data object names.

Description

technical field [0001] The invention relates to the technical field of computer data processing, in particular to a data management and data search method. Background technique [0002] Massive data management and corresponding search methods have always been one of the difficult problems in data management. High-efficiency data search methods can improve the operating efficiency of data management systems, save valuable time for users, and have great practical application value. [0003] There are two ways to manage and search data in the existing technology. One is relatively simple data management, which is to put all the data together, such as figure 1 shown. In this way, when a file needs to be searched, a large amount of time will be spent, and the data search efficiency is low. [0004] Another method is to effectively manage a large number of files. The operating system adopts a subdirectory folder type directory management method, such as figure 2 Shown: a spec...

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Problems solved by technology

[0005] For the above two data management methods, when there are only data object names, it will take a long time to search for data, so the search efficiency is low

In addition, although the folder-style data management, the search efficiency is relatively high when there is detailed search object information (such as the absolute path); but the detailed search object information, especially the absolute path where the data is stored, is generally not easy to obtain. And the amount of information is large, which undoubtedly increases the consumption of the system

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