simple search engine

Last time I wrote the Search Engine Friendly URL design-I am tossing on this matter, to achieve this http://www.myhost.com/foo.php (as the current mainstream development language )? A = A B = B c = C-> http://www.myhost.com/foo.php (as the current mainstream development language)/a/A/B/B/c/C url conversion, there are actually different methods. For example, if I use a virtual host and want to optimize th

Last time I wrote the search Engine friendly URL design-I'm tossing on this thing, to achieve this Http://www.myhost.com/foo.php?a=Ab=Bc=C, http:// There are actually different ways to Www.myhost.com/foo.php/a/A/b/B/c/C URL conversions. For example, I use a virtual host, but also want to implement URL optimization, but I do not have server permissions, this time can be from Path_info. When accessing Http:

This is a website traffic statistics instance based on php and mysql. You can collect statistics on the sources, search engines, ip addresses, and Keywords of website visitors. I hope this instance will help you. Traffic Statistics tools, such as cnzz, Baidu statistics, and 51, are both very good and powerful. I wrote a simple traffic statistics tool, but I can only count the access time, visitor ip address

No. 371, Python distributed crawler build search engine Scrapy explaining-elasticsearch (search engine) with Django implementation of my search and popularThe simple implementation principle of my

No. 371, Python distributed crawler build search engine Scrapy explaining-elasticsearch (search engine) with Django implementation of my search and popularThe simple implementation principle of my

There are a lot of webmaster in the process of optimizing the site is very afraid of search engine, feeling search engine is king Lao Tze, all day is hiding far away, beware of search engines. In fact, the search

, write the logical processing functionImplementing search data in logical processing functions(1) Get the user's search terms(2) using the native Elasticsearch (search engine) interface, to achieve the search, annotated:ELASTICSEARCH-DSL is on the original Elasticsearch to

Logical processing functionsCalculate Search Time-consumingBefore starting the search: Start_time = DateTime.Now () Gets the current timeAt the end of the search: End_time = DateTime.Now () Gets the current timeLast_time = (end_time-start_time). Total_seconds () end time minus start time equals times, converted to secondsFrom django.shortcuts import render# Creat

. Added support for index transaction processing so that it can be more easily integrated with transaction processing applications such as databases. When it is updated, you do not need to delete the original document, which is simpler and more efficient. The ing mechanism is used between resources and search engines, which makes it easy for applications that have used Lucene or do not support object and XML to migrate to Compass for development. Comp

Part of the content is transferred from: http://blog.csdn.net/hguisu/article/details/8024799First, open source project1.Lucene full-text retrieval systemHttp://lucene.apache.org and http://www.lucene.com.cn/Lucene is a subproject of the Apache Software Foundation 4 Jakarta Project group, an open source full-Text Search engine toolkit, which is not a full-text search