lucene books

Most of Lucene 2.9 focuses on performance optimization. This is reflected in the improvements from low-end internal infrastructure to index management methods. Lucene's index database is composed of a series of separated "fragments", each of which is stored in an independent file. When you add documents to an index, you will create new parts that can be merged. Lucene caches field information in fieldcache.

ArticleDirectory 1. mergefactor 2. maxmergedocs 3. rambuffersizemb 1.. gen format and segments_n 2. CFs format 3. Lock format 3. FNM format 4.. fdx and. FDT formats 5. tii and. Tis formats 6. deletable format In the previous articles about Lucene, I have briefly explained how to use Lucene for word segmentation, indexing, and search. Recently, most of the time

But do not think Lucene is a Google-like search engine, Lucene is not even an application, it is just a tool, a library. You can also interpret it as an index, The search feature encapsulates a good set of Easy-to-use APIs. With this API you can do a lot of things about search, and it's very convenient. Lucene can index and search any data.

With the rapid development of the business, Lucene-based index file zip compression is also close to the GB magnitude, while keeping the index file size as an acceptable range is very necessary, not only can improve the index transfer, read speed, It also improves the efficiency of the index cache (Lucene caches the index file when it is opened, such as mmapdirectory in memory-mapped mode).How to reduce the

of these keywords, to assess the quality of our station search, to optimize the search scheme, and improve to provide some reference(6) Use Lucene or SOLR indexes to store analyzed data and provide flexible and powerful retrieval methodsThe specific use of pig analysis data process, the scattered fairy here is not fine, interested friends, can be in the public post-message consulting, today mainly look at, pig analysis of the results of the data stor

To find the article content text (goal: Quickly retrieve what is needed), this search technique is similar to a Chinese Dictionary index page design principleArticle 1 of the content is: Tom lives in Guangzhou,i live in Guangzhou too.Article 2 of the content is: He once lived in Shanghai. 　　 1) Since Lucene is based on the keyword index and query, first we want to get the keywords of these two articles, usually we need to deal with the following measu

provide some reference(6) Use Lucene or SOLR indexes to store analyzed data and provide flexible and powerful retrieval methodsThe specific use of pig analysis data process, the scattered fairy here is not fine, interested friends, can be in the public post-message consulting, today mainly look at, pig analysis of the results of the data stored in the Lucene index, as for why Choose