[1]张春燕 刘发升.关于Lucene索引工具的性能优化研究[J].计算机技术与发展,2011,(05):121-123.
 ZHANG Chun-yan,LIU Fa-sheng.Lucene Indexing Tools Research Based on Optimization of Performance[J].,2011,(05):121-123.
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关于Lucene索引工具的性能优化研究()
分享到:

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2011年05期
页码:
121-123
栏目:
智能、算法、系统工程
出版日期:
1900-01-01

文章信息/Info

Title:
Lucene Indexing Tools Research Based on Optimization of Performance
文章编号:
1673-629X(2011)05-0121-03
作者:
张春燕 刘发升
江西理工大学信息工程学院
Author(s):
ZHANG Chun-yan LIU Fa-sheng
College of lnfo. Eng. , Jiangxi University of Science and Technology
关键词:
搜索引擎Lucene索引Hits
Keywords:
search engine Lucene index Hits
分类号:
TP311
文献标志码:
A
摘要:
随着计算机的发展,为了能更好地搜索到所需的内容,全文检索引擎已经变得越来越重要。Lucene作为当前最流行的开源Java索引工具包,索引性能的提升是非常关键也是值得研究的,同时索引过程快慢是衡量一个搜索引擎的重要指标。在Java的基础上,通过更改Lucene提供的内置参数来适应不同计算机的硬件达到性能调节的作用。其次,更是提出了一种修改源代码的方法,主要是对Hits进行改进,提出了一种在结果非常多的情况下加速查询的方法,通过对索引过程和Hit结果集进行两方面的设置和改进达到性能提高的双重效果。仿真实验结果表明该改进方法不仅提高了索引工具性能的优化,同时减少了负载。通过这两方面的改进,可以使Lucene开发的搜索引擎达到更高的效率
Abstract:
With the development of the computer, in order to better search to the desired content, full-text search engines have become increasingly important. Lucene as the most popular open source Java toolkit index, the index is critical to enhance performance is worthy of study, while the speed of the indexing process is an important measure of a search engine indexes. Based on Java, Lueene provided by changing the built-in parameters to adapt to different computer hardware to the role of performance tuning. Secondly ,proposed a method of modifying the source code, mainly for Hits to improve, a lot of cases in the results to accelerate the query method, the results of the indexing process and Hit both sets of settings and improvement to the dual effect of improving performance. The simulation results show that the improved method not only improves the optimization performance index tool, while reducing the load. These two improvements, can make Lucene search engine developed to achieve higher efficiency

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备注/Memo

备注/Memo:
江西省科技攻关项目(赣财教[2005]132号);江西省教育科技计划项目(GJJ08283)张春燕(1987-),女,江西赣州人,硕士研究生,研究方向为数据挖掘与数据库;刘发升,教授,博士,研究方向为数据挖掘与数据库
更新日期/Last Update: 1900-01-01