官方API的例子，这里仅仅是简单翻译了一下注释。

Lucene 5.1.0 core API

To use Lucene, an application should:
1.Create Documents by adding Fields;
2.Create an IndexWriter and add documents to it with addDocument();
3.Call QueryParser.parse() to build a query from a string; and
4.Create an IndexSearcher and pass the query to its search() method.

例1

注意：例子内部使用了断言，所以，请使用JUnit来对结果进行验证

package com.test.caoxs.l5Filter;

import static org.junit.Assert.assertEquals;
import java.io.IOException;
import org.apache.lucene.analysis.Analyzer;
import org.apache.lucene.analysis.standard.StandardAnalyzer;
import org.apache.lucene.document.Document;
import org.apache.lucene.document.Field;
import org.apache.lucene.document.TextField;
import org.apache.lucene.index.DirectoryReader;
import org.apache.lucene.index.IndexWriter;
import org.apache.lucene.index.IndexWriterConfig;
import org.apache.lucene.queryparser.classic.ParseException;
import org.apache.lucene.queryparser.classic.QueryParser;
import org.apache.lucene.search.IndexSearcher;
import org.apache.lucene.search.Query;
import org.apache.lucene.search.ScoreDoc;
import org.apache.lucene.store.Directory;
import org.apache.lucene.store.RAMDirectory;
import org.junit.Test;

public class L5SimpleTester {
    @Test
    public void L5SimpleTester() throws IOException, ParseException {
        Analyzer analyzer = new StandardAnalyzer();
        // Store the index in memory:
        // 将索引存放在内存中
        Directory directory = new RAMDirectory();
        // To store an index on disk, use this instead:
        // 将索引存放在磁盘上，请替换成下面这一行
        // Directory directory = FSDirectory.open("/tmp/testindex");
        IndexWriterConfig config = new IndexWriterConfig(analyzer);
        IndexWriter iwriter = new IndexWriter(directory, config);
        Document doc = new Document();
        String text = "This is the text to be indexed.";
        doc.add(new Field("fieldname", text, TextField.TYPE_STORED));
        iwriter.addDocument(doc);
        iwriter.close();

        // Now search the index:
        DirectoryReader ireader = DirectoryReader.open(directory);
        IndexSearcher isearcher = new IndexSearcher(ireader);
        // Parse a simple query that searches for "text":
        QueryParser parser = new QueryParser("fieldname", analyzer);
        Query query = parser.parse("text");
        ScoreDoc[] hits = isearcher.search(query, null, 1000).scoreDocs;
        //因为使用了断言，所以，要使用JUnit，来执行
        assertEquals(1, hits.length);
        // Iterate through the results:
        for (int i = 0; i < hits.length; i++) {
            Document hitDoc = isearcher.doc(hits[i].doc);
            assertEquals("This is the text to be indexed.", hitDoc.get("fieldname"));
        }
        ireader.close();
        directory.close();
    }
}

例2

如果想要，对不同的field，进行不同的分词。
使用PerFieldAnalyzerWrapper官方的例子。
通过对 analyzerPerField 的配置， aWrapper 代替例1中的分词器（即变量analyzer）。
API Example usage:

 Map<String,Analyzer> analyzerPerField = new HashMap<>();
 //对firstname使用CJK分词器
 analyzerPerField.put("firstname", new CJKAnalyzer());
 //对lastname使用空格分词器
 analyzerPerField.put("lastname", new WhitespaceAnalyzer());
 //对于Lucene5的版本，不需要填写version
 PerFieldAnalyzerWrapper aWrapper =
   new PerFieldAnalyzerWrapper(new StandardAnalyzer(version), analyzerPerField);