How to parse the ScoreDoc found under lucene on the page

Here are the specific chestnuts:

scoredoc scoredocs = ;

for (scoredoc scdoc : scoredocs) {document document = ;

string id = "id");

string name = "name");

string age = "age");

string city = "city");

string birthday = "birthday");

float score = ;Similarity"id:%s, name:%s, age:%s, city:%s, birthday:%s, relevance:%s",id, name, age, city, ,score));

Finally, don't forget to close the object indexsearcher searcher; indexreader reader ;;

I don't know what you're trying to say.

You can use different queries of query packages in different lucene to retrieve the data, and if the data is used differently, the retrieved data will also be different.

Manipulate the results of the query directly Add to list without document.

That's it.

If you set up storage when you create the index, then you can read it back to the page. If you only build an index, you can only fetch data from the original data source.

Write HTML tags directly in the action and generate them into a file.

As long as the id is unique, do not segment the id field when establishing the index, and you can retrieve it according to the id.

Example of indexing:

document doc = new document();

field("id",“123456”,.This is adding the other fields in this set of data.

term t11 = new term("id", 123456");

query query11 = new termquery(t11);

topdocs topdocs11 = searcher_, 1);

for (scoredoc scoredoc11 :

int docnum11 = ;

string id=searcher_"id");

string contents=searcher_"contents");Let's say that contents is the name of a field other than the id when indexing.

As long as the id is unique, do not segment the id field when building the index, and the query can be retrieved according to the id.

Example of indexing:

document doc = new document();

field("id",“123456”,.Here we are adding other fields to this set of data;

term t11 = new term("id", "123456");

query query11 = new termquery(t11);

topdocs topdocs11 = searcher_, 1);

for (scoredoc scoredoc11 :

This project is not for you, but it can help you solve it if you have a problem.

indexreader indexreader = null;In general, the reader uses the singleton mode.

indexsearcher searcher = new indexsearcher(indexreader);

booleanquery booleanquery = new booleanquery();

numericrangequery agequery = "age", new integer(20), new integer(30), true, false);

booleanclause(agequery, ;

topdocs topdocs = , 10);

scoredoc scoredocs = ;

for(int i=0;i

lucene

Web Links. Look at this written in detail.

Lucene is a common full-text indexing component, which aims to convert data in various formats into Lucene's unique index file format, so that it can be searched full-text through Lucene's high-speed search mechanism.

Your data can be a relational database, a word, execl, txt document, an html web page, for these data sources, you have to read out the data inside them, encapsulate them into a document instance of lucene, and then let lucene help you build the index.

For example: you have a user database that stores hundreds of thousands of user information, and you now want to full-text index this database, then what you have to do is:

1.Write a traditional JDBC program that reads each piece of user information from the database.

2.Create a lucene document for each user record

document doc = new document();

And according to your needs, add each field of user information to the field in the Luncene document, for example:

field("name","username", and then add the doc to the index, for example: ;

This creates an index of lucene.

4.Search for related records in the database by ID.

The general usage of lucene is explained above, and I don't know if it is very clear.