Lucene [Java] search framework preliminary

The general index structure establishes a ing relationship between documents and words, while the inverted index creates a ing relationship between words and documents. In daily searches, the search is usually based on keywords. Therefore, inverted indexes can be better suited to the needs of such search mechanisms. This is why inverted indexes are widely used today.

Buildindex

 
ImportJava. Io. file;ImportJava. Io. ioexception;ImportJava. util. date;ImportOrg. Apache. Lucene. analysis. simpleanalyzer;ImportOrg. Apache. Lucene. Demo. filedocument;ImportOrg. Apache. Lucene. Index. indexwriter;Public ClassBuildindex {Public Static VoidMain (string [] ARGs ){// Timing
 

Date start =NewDate ();Try{// Create an index directoryIndexwriter writer =NewIndexwriter ("C: \ indexdir",NewSimpleanalyzer (),True);// Indexed Text DocumentFile file =NewFile ("C: \ indexdata.txt");// Add the document to the index type and optimize it
 

 
System. Out. println ("Adding"+ File); writer. adddocument (filedocument. Document (File); writer. Optimize (); writer. Close ();}Catch(Ioexception e) {e. printstacktrace ();}// End Time
 

Date end =NewDate ();//
 

 
System. Out. Print (end. gettime ()-start. gettime (); system. Out. println ("Total milliseconds");}}
 

 
Dosearch
 

ImportOrg. Apache. Lucene. Store .*;ImportOrg.apache.e.doc ument .*;ImportOrg. Apache. Lucene. analysis .*;ImportOrg. Apache. Lucene. Index .*;ImportOrg. Apache. Lucene. Search .*;ImportOrg. Apache. Lucene. queryparser .*;ClassDosearch {Public Static VoidMain (string [] ARGs ){Try{// Create an index
 

 
Directory directory =NewRamdirectory ();//Generates analyzer objects for Word Segmentation and so on.
 

Analyzer analyzer =NewSimpleanalyzer ();//Index writer
 

 
Indexwriter writer =NewIndexwriter (directory, analyzer,True);//Create an index
 

String [] docs = {"A B C D E","A B c d e","A B c d e f g h I j","A C E","E C","A C E","A C E A B C"};For(IntJ = 0; j <docs. length; j ++) {document D =NewDocument (); D. Add (field. Text ("Contents", Docs [J]); writer. adddocument (d);} writer. Close ();//Generate search object
 

 
Searcher searcher =NewIndexsearcher (directory );//Generate a result set object and initialize it to a null value.
 

String [] queries = {"\ "A c e \"",};// |%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%? ? Limit 1 ?? ¥ ??? ? 3? ?? ¥? A ??? ZookeeperHits hits =Null;//Generate queryparser object, Word Segmentation
 

 
Queryparser parser =NewQueryparser ("Contents", Analyzer );// Use the query string in sequence to generate the query object query
 

 
For(IntJ = 0; j <queries. length; j ++) {query = parser. parse (queries [J]); system. Out. println ("Query:"+ Query. tostring ("Contents"));//Result set
 

Hits = searcher. Search (query );//Output the total number of searched documents: system. Out. println (hits. Length () +"Total results");// Output the searched documents in sequence
 

 
For(IntI = 0; I  "+ Hits. Score (I) +" "+ D. Get ("Contents") ;}} Searcher. Close ();}Catch(Exception e) {system. Out. println ("Caught"+ E. getclass () +"\ N with message:"+ E. getmessage ());}}}
 

 
Select <conquer Ajax and Lucene framework Search>.
 

Please refer to the following link for more information when necessary. You can download the complete PDF file from Baidu Library:
 

 
Http://wenku.baidu.com/search? WORD = % D5 % F7 % B7 % feajax % 20 Lucene & lm = 0 & OD = 0