Distributed search method and system

Abstract

The invention discloses a distributed search method and a distributed search system. The method comprises that: a search node receives search conditions input by a user through a client browser, processes the search conditions to generate query tasks, and sends the query tasks to an index control node; the index control node sends the query tasks to index nodes in an index node cluster; the index nodes query index files stored in the nodes according to the received query tasks and return the query results to the index control node; the index control node returns the received query results to the search node; and the search node merges the received query results and sends the merged query result to a client. A distributed structure is adopted in the index node cluster, and the index nodes in the index node cluster can search and query the index files thereof during searching, so parallel search and query are realized, the search speed and the search efficiency are greatly improved, and the search result is timely returned to the user.

Description

technical field [0001] The invention relates to computer communication technology, in particular to a distributed retrieval technology. Background technique [0002] Information retrieval technology is one of the key technologies in modern information society. Information retrieval refers to the process and technology of organizing and storing information in a certain way, and finding the required information according to the information needs of information users, so the full name of information retrieval is also called "information storage and retrieval". With the rapid development of the Internet all over the world, digital information has exploded. At present, the main data source of the retrieval system is the web, and the retrieval technology of network information has become a development trend. Network information retrieval can be divided into the following parts: [0003] Data preprocessing: The main data source of network information is the web, and the formats ...

AI Technical Summary

Problems solved by technology

In the case of massive data applications, due to the limited number of stand-alone management and saved index files, if the number of saved index files is too large, the speed of index file query and retrieval operations will be slow, and it is difficult for users to accept. returns the desired result

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