Statistical method and statistical system for search engine space occupation

Abstract

The invention discloses a statistical method for search engine space occupation. The method includes the following steps: a corresponding user capacity occupation list is stored for each user in advance, the user capacity occupation list includes user information and corresponding capacity quota information, wherein the capacity quota information includes capacity allowing the user to use and occupied capacity; the index creation request of a user, which includes user information and the content of an index to be created, is received; according to the user information, a corresponding user capacity occupation list is found; the content of the index to be created is statistically analyzed, and the amount of the memory space occupied by the content of the index to be created is obtained; the amount of the memory space occupied by the content of the index to be created is added to the occupied capacity, and the occupied capacity of the user is updated. The invention also discloses a statistical system for search engine space occupation. The invention can be adopted to carry out corresponding capacity management according to different users.

Description

technical field [0001] The invention relates to the technical field of search engines, in particular to a search engine space occupation statistics method and system. Background technique [0002] With the rapid development of the Internet today, users have already had a strong demand for various services based on search engine technology. For example, log services, such as cloud search and other services. For example, users can send articles written by themselves, or log streams and data streams generated by certain programs, to search engines for indexing, and then search queries based on words in articles or logs. These services are built on the cloud or a large cluster, and then open to individual users, certain companies or social groups. According to different user levels, users enjoy different resources. For example, the most important resource is capacity resource. To carry out storage capacity grading and limit, it is necessary to count the size of the index cont...

AI Technical Summary

Problems solved by technology

However, the problem is that in a lucene-based search engine, all user data is aggregated and stored in files such as . After the algorithm is broken up, it is stored in each file. There is no way to directly obtain how much storage capacity a user has occupied, so there is no way to limit resources according to capacity.

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