Design of a Global Retrieval System for Characteristic Data Based on SOLR

Due to the rapid advance of informationization process, in the process of test data accumulated a large number of product features, product features data exponentially, traditional feature data used to query the database to retrieve the data content, not whole, system will target currently stored data all retrieved, and interaction is not convenient, It is not conducive to the overall control of product characteristics and subsequent analysis. In this paper, a global retrieval system of characteristic data based on Solr is designed, which aims at the retrieval design of structured data such as database table information and unstructured data of various types of documents such as Word, TXT, PDF and Excel, as well as the extension design of combined display and highlighting. After testing, the global retrieval system of characteristic data based on SOLR can efficiently retrieve the existing and accumulated characteristic data resources, and provide reliable competitiveness for enterprises in the information age.