On Multi-Thread Crawler Optimization for Scalable Text Searching  

作　　者：Guang Sun Huanxin Xiang Shuanghu Li 

机构地区：[1]Hunan University of Finance and Economics,Changsha,410205,China [2]The University of Alabama,Tuscaloosa,35401,USA

出　　处：《Journal on Big Data》2019年第2期89-106,共18页大数据杂志（英文）

基　　金：This research is funded by the Open Foundation for the University Innovation Platform in the Hunan Province,grant number 16K013;Hunan Provincial Natural Science Foundation of China,grant number 2017JJ2016;2016 Science Research Project of Hunan Provincial Department of Education,grant number 16C0269.Accurate crawler design and implementation with a data cleaning function,National Students innovation and entrepreneurship of training program,grant number 201811532010.This research work is implemented at the 2011 Collaborative Innovation Center for Development and Utilization of Finance and Economics Big Data Property,Universities of Hunan Province.Open Foundation for the University Innovation Platform in the Hunan Province,grant number 16K013;Hunan Provincial Natural Science Foundation of China,grant number 2017JJ2016;2016 Science Research Project of Hunan Provincial Department of Education,grant number 16C0269.This research work is implemented at the 2011 Collaborative Innovation Center for Development and Utilization of Finance and Economics Big Data Property,Universities of Hunan Province.Open project,grant number 20181901CRP03,20181901CRP04,20181901CRP05.

摘　　要：Web crawlers are an important part of modern search engines.With the development of the times,data has exploded and humans have entered a“big data era”.For example,Wikipedia carries the knowledge from all over the world,records the realtime news that occurs every day,and provides users with a good database of data,but because of the large amount of data,it puts a lot of pressure on users to search.At present,single-threaded crawling data can no longer meet the requirements of text crawling.In order to improve the performance and program versatility of single-threaded crawlers,a high-speed multi-threaded web crawler is designed to crawl the network hyper-scale text database.Multi-threaded crawling uses multiple threads to process web pages in parallel,combining breadth-first and depth-first algorithms to control web crawling.The practice project is based on the Python language to achieve multi-threaded optimization network hyper-large-scale text database-Wikipedia book crawling method,the project is inspired by the article on the Wikipedia article in the Big Data Digest public number.

关 键 词：MULTI-THREADING text database OPTIMIZATION breadth-first search depth-first search. 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]