Index maintenance method for supporting multiple data sources

Abstract

The invention belongs to the technical field of search engines, in particular to an index maintenance method for supporting multiple data sources. An entire index library is divided into a series of sub index libraries, and each sub index library stores indexes in certain time granularity and comprises an independent catalogue and relevant documents. The method comprises the following three operating steps of: loading data of the sub index libraries, combining the sub index libraries and processing user retrieval requests. The real-time updating of the index is conveniently realized by setting the sub index libraries; the coexistence of sub index libraries with different time granularities is realized by setting an appropriate index combination detecting period; the retrieval requests within a time range limited by users are mapped onto the sub index libraries, the index can be updated in independent sub index libraries without influencing the user retrieval requests, and thus, the response time is ensured to meet user requirements.

Description

technical field [0001] The invention belongs to the technical field of search engines, and in particular relates to a method for updating and maintaining an index database. Background technique [0002] Enterprise informatization produces a large amount of original information or processed information, such as various text information, multimedia information, etc. The information contains various contents that the user is interested in, and it is necessary to store and retrieve the information effectively. The main characteristics of this information retrieval system: First, there are many sources of data. After the original information is generated, it is required to enter the retrieval system as soon as possible and be retrieved; second, users have higher requirements for the response time of information retrieval. , especially the update process of the index database cannot affect the response time of user retrieval. The third is that different types of enterprise users...

AI Technical Summary

Problems solved by technology

[0005] 1. When indexing data on multiple data sources at the same time, the existing method needs to continuously update the index library, which causes delays in indexing, thus affecting the user's need for instant retrieval

[0006] 2. Since the update of the index is carried out on a large index library, during the update period, it is easy to happen that the user's search cannot be performed, or the processing of the search request is slowed down

[0007] 3. In the face of the user's limitation of the time range in the retrieval process, the existing methods are actually carried out in a large index database, so the improvement of retrieval efficiency is very limited

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