import org.apache.lucene.search.highlight.DefaultEncoder; //导入依赖的package包/类
public void testMultiPhrasePrefixQuery() throws Exception {
    Analyzer analyzer = new StandardAnalyzer();
    Directory dir = newDirectory();
    String value = "The quick brown fox.";
    IndexReader ir = indexOneDoc(dir, "text", value, analyzer);
    MultiPhrasePrefixQuery query = new MultiPhrasePrefixQuery();
    query.add(new Term("text", "quick"));
    query.add(new Term("text", "brown"));
    query.add(new Term("text", "fo"));
    IndexSearcher searcher = newSearcher(ir);
    TopDocs topDocs = searcher.search(query, 10, Sort.INDEXORDER);
    assertThat(topDocs.totalHits, equalTo(1));
    int docId = topDocs.scoreDocs[0].doc;
    CustomPassageFormatter passageFormatter = new CustomPassageFormatter("<b>", "</b>", new DefaultEncoder());
    CustomUnifiedHighlighter highlighter = new CustomUnifiedHighlighter(searcher, analyzer,
        passageFormatter, null, value, false);
    Snippet[] snippets = highlighter.highlightField("text", query, docId, 5);
    assertThat(snippets.length, equalTo(1));
    assertThat(snippets[0].getText(), equalTo("The <b>quick</b> <b>brown</b> <b>fox</b>."));
    ir.close();
    dir.close();
}
 

import org.apache.lucene.search.highlight.DefaultEncoder; //导入依赖的package包/类
public void testAllTermQuery() throws IOException {
    Directory dir = newDirectory();
    String value = "The quick brown fox.";
    Analyzer analyzer = new StandardAnalyzer();
    IndexReader ir = indexOneDoc(dir, "all", value, analyzer);
    AllTermQuery query = new AllTermQuery(new Term("all", "fox"));
    IndexSearcher searcher = newSearcher(ir);
    TopDocs topDocs = searcher.search(query, 10, Sort.INDEXORDER);
    assertThat(topDocs.totalHits, equalTo(1));
    int docId = topDocs.scoreDocs[0].doc;
    CustomPassageFormatter passageFormatter = new CustomPassageFormatter("<b>", "</b>", new DefaultEncoder());
    CustomUnifiedHighlighter highlighter = new CustomUnifiedHighlighter(searcher, analyzer,
        passageFormatter, null, value, false);
    Snippet[] snippets = highlighter.highlightField("all", query, docId, 5);
    assertThat(snippets.length, equalTo(1));
    assertThat(snippets[0].getText(), equalTo("The quick brown <b>fox</b>."));
    ir.close();
    dir.close();
}
 

import org.apache.lucene.search.highlight.DefaultEncoder; //导入依赖的package包/类
public void testCommonTermsQuery() throws IOException {
    Directory dir = newDirectory();
    String value = "The quick brown fox.";
    Analyzer analyzer = new StandardAnalyzer();
    IndexReader ir = indexOneDoc(dir, "text", value, analyzer);
    CommonTermsQuery query = new CommonTermsQuery(BooleanClause.Occur.SHOULD, BooleanClause.Occur.SHOULD, 128);
    query.add(new Term("text", "quick"));
    query.add(new Term("text", "brown"));
    query.add(new Term("text", "fox"));
    IndexSearcher searcher = newSearcher(ir);
    TopDocs topDocs = searcher.search(query, 10, Sort.INDEXORDER);
    assertThat(topDocs.totalHits, equalTo(1));
    int docId = topDocs.scoreDocs[0].doc;
    CustomPassageFormatter passageFormatter = new CustomPassageFormatter("<b>", "</b>", new DefaultEncoder());
    CustomUnifiedHighlighter highlighter = new CustomUnifiedHighlighter(searcher, analyzer,
        passageFormatter, null, value, false);
    Snippet[] snippets = highlighter.highlightField("text", query, docId, 5);
    assertThat(snippets.length, equalTo(1));
    assertThat(snippets[0].getText(), equalTo("The <b>quick</b> <b>brown</b> <b>fox</b>."));
    ir.close();
    dir.close();
}
 

import org.apache.lucene.search.highlight.DefaultEncoder; //导入依赖的package包/类
public void testSimpleFormat() {
    String content = "This is a really cool highlighter. Postings highlighter gives nice snippets back. No matches here.";

    CustomPassageFormatter passageFormatter = new CustomPassageFormatter("<em>", "</em>", new DefaultEncoder());

    Passage[] passages = new Passage[3];
    String match = "highlighter";
    BytesRef matchBytesRef = new BytesRef(match);

    Passage passage1 = new Passage();
    int start = content.indexOf(match);
    int end = start + match.length();
    passage1.startOffset = 0;
    passage1.endOffset = end + 2; //lets include the whitespace at the end to make sure we trim it
    passage1.addMatch(start, end, matchBytesRef);
    passages[0] = passage1;

    Passage passage2 = new Passage();
    start = content.lastIndexOf(match);
    end = start + match.length();
    passage2.startOffset = passage1.endOffset;
    passage2.endOffset = end + 26;
    passage2.addMatch(start, end, matchBytesRef);
    passages[1] = passage2;

    Passage passage3 = new Passage();
    passage3.startOffset = passage2.endOffset;
    passage3.endOffset = content.length();
    passages[2] = passage3;

    Snippet[] fragments = passageFormatter.format(passages, content);
    assertThat(fragments, notNullValue());
    assertThat(fragments.length, equalTo(3));
    assertThat(fragments[0].getText(), equalTo("This is a really cool <em>highlighter</em>."));
    assertThat(fragments[0].isHighlighted(), equalTo(true));
    assertThat(fragments[1].getText(), equalTo("Postings <em>highlighter</em> gives nice snippets back."));
    assertThat(fragments[1].isHighlighted(), equalTo(true));
    assertThat(fragments[2].getText(), equalTo("No matches here."));
    assertThat(fragments[2].isHighlighted(), equalTo(false));
}
 

import org.apache.lucene.search.highlight.DefaultEncoder; //导入依赖的package包/类
public void testSimpleFormat() {
    String content = "This is a really cool highlighter. Unified highlighter gives nice snippets back. No matches here.";

    CustomPassageFormatter passageFormatter = new CustomPassageFormatter("<em>", "</em>", new DefaultEncoder());

    Passage[] passages = new Passage[3];
    String match = "highlighter";
    BytesRef matchBytesRef = new BytesRef(match);

    Passage passage1 = new Passage();
    int start = content.indexOf(match);
    int end = start + match.length();
    passage1.setStartOffset(0);
    passage1.setEndOffset(end + 2); //lets include the whitespace at the end to make sure we trim it
    passage1.addMatch(start, end, matchBytesRef);
    passages[0] = passage1;

    Passage passage2 = new Passage();
    start = content.lastIndexOf(match);
    end = start + match.length();
    passage2.setStartOffset(passage1.getEndOffset());
    passage2.setEndOffset(end + 26);
    passage2.addMatch(start, end, matchBytesRef);
    passages[1] = passage2;

    Passage passage3 = new Passage();
    passage3.setStartOffset(passage2.getEndOffset());
    passage3.setEndOffset(content.length());
    passages[2] = passage3;

    Snippet[] fragments = passageFormatter.format(passages, content);
    assertThat(fragments, notNullValue());
    assertThat(fragments.length, equalTo(3));
    assertThat(fragments[0].getText(), equalTo("This is a really cool <em>highlighter</em>."));
    assertThat(fragments[0].isHighlighted(), equalTo(true));
    assertThat(fragments[1].getText(), equalTo("Unified <em>highlighter</em> gives nice snippets back."));
    assertThat(fragments[1].isHighlighted(), equalTo(true));
    assertThat(fragments[2].getText(), equalTo("No matches here."));
    assertThat(fragments[2].isHighlighted(), equalTo(false));
}
 

import org.apache.lucene.search.highlight.DefaultEncoder; //导入依赖的package包/类
public void testCustomPostingsHighlighter() throws Exception {
    Directory dir = newDirectory();
    IndexWriterConfig iwc = newIndexWriterConfig(new MockAnalyzer(random()));
    iwc.setMergePolicy(newLogMergePolicy());
    RandomIndexWriter iw = new RandomIndexWriter(random(), dir, iwc);

    FieldType offsetsType = new FieldType(TextField.TYPE_STORED);
    offsetsType.setIndexOptions(IndexOptions.DOCS_AND_FREQS_AND_POSITIONS_AND_OFFSETS);

    //good position but only one match
    final String firstValue = "This is a test. Just a test1 highlighting from postings highlighter.";
    Field body = new Field("body", "", offsetsType);
    Document doc = new Document();
    doc.add(body);
    body.setStringValue(firstValue);

    //two matches, not the best snippet due to its length though
    final String secondValue = "This is the second highlighting value to perform highlighting on a longer text that gets scored lower.";
    Field body2 = new Field("body", "", offsetsType);
    doc.add(body2);
    body2.setStringValue(secondValue);

    //two matches and short, will be scored highest
    final String thirdValue = "This is highlighting the third short highlighting value.";
    Field body3 = new Field("body", "", offsetsType);
    doc.add(body3);
    body3.setStringValue(thirdValue);

    //one match, same as first but at the end, will be scored lower due to its position
    final String fourthValue = "Just a test4 highlighting from postings highlighter.";
    Field body4 = new Field("body", "", offsetsType);
    doc.add(body4);
    body4.setStringValue(fourthValue);

    iw.addDocument(doc);

    IndexReader ir = iw.getReader();
    iw.close();

    String firstHlValue = "Just a test1 <b>highlighting</b> from postings highlighter.";
    String secondHlValue = "This is the second <b>highlighting</b> value to perform <b>highlighting</b> on a longer text that gets scored lower.";
    String thirdHlValue = "This is <b>highlighting</b> the third short <b>highlighting</b> value.";
    String fourthHlValue = "Just a test4 <b>highlighting</b> from postings highlighter.";

    IndexSearcher searcher = newSearcher(ir);
    Query query = new TermQuery(new Term("body", "highlighting"));

    TopDocs topDocs = searcher.search(query, 10, Sort.INDEXORDER);
    assertThat(topDocs.totalHits, equalTo(1));

    int docId = topDocs.scoreDocs[0].doc;

    String fieldValue = firstValue + HighlightUtils.PARAGRAPH_SEPARATOR + secondValue + HighlightUtils.PARAGRAPH_SEPARATOR + thirdValue + HighlightUtils.PARAGRAPH_SEPARATOR + fourthValue;

    CustomPostingsHighlighter highlighter = new CustomPostingsHighlighter(null, new CustomPassageFormatter("<b>", "</b>", new DefaultEncoder()), fieldValue, false);
    Snippet[] snippets = highlighter.highlightField("body", query, searcher, docId, 5);

    assertThat(snippets.length, equalTo(4));

    assertThat(snippets[0].getText(), equalTo(firstHlValue));
    assertThat(snippets[1].getText(), equalTo(secondHlValue));
    assertThat(snippets[2].getText(), equalTo(thirdHlValue));
    assertThat(snippets[3].getText(), equalTo(fourthHlValue));

    ir.close();
    dir.close();
}
 

import org.apache.lucene.search.highlight.DefaultEncoder; //导入依赖的package包/类
public void testNoMatchSize() throws Exception {
    Directory dir = newDirectory();
    IndexWriterConfig iwc = newIndexWriterConfig(new MockAnalyzer(random()));
    iwc.setMergePolicy(newLogMergePolicy());
    RandomIndexWriter iw = new RandomIndexWriter(random(), dir, iwc);

    FieldType offsetsType = new FieldType(TextField.TYPE_STORED);
    offsetsType.setIndexOptions(IndexOptions.DOCS_AND_FREQS_AND_POSITIONS_AND_OFFSETS);
    Field body = new Field("body", "", offsetsType);
    Field none = new Field("none", "", offsetsType);
    Document doc = new Document();
    doc.add(body);
    doc.add(none);

    String firstValue = "This is a test. Just a test highlighting from postings. Feel free to ignore.";
    body.setStringValue(firstValue);
    none.setStringValue(firstValue);
    iw.addDocument(doc);

    IndexReader ir = iw.getReader();
    iw.close();

    Query query = new TermQuery(new Term("none", "highlighting"));

    IndexSearcher searcher = newSearcher(ir);
    TopDocs topDocs = searcher.search(query, 10, Sort.INDEXORDER);
    assertThat(topDocs.totalHits, equalTo(1));
    int docId = topDocs.scoreDocs[0].doc;

    CustomPassageFormatter passageFormatter = new CustomPassageFormatter("<b>", "</b>", new DefaultEncoder());

    CustomPostingsHighlighter highlighter = new CustomPostingsHighlighter(null, passageFormatter, firstValue, false);
    Snippet[] snippets = highlighter.highlightField("body", query, searcher, docId, 5);
    assertThat(snippets.length, equalTo(0));

    highlighter = new CustomPostingsHighlighter(null, passageFormatter, firstValue, true);
    snippets = highlighter.highlightField("body", query, searcher, docId, 5);
    assertThat(snippets.length, equalTo(1));
    assertThat(snippets[0].getText(), equalTo("This is a test."));

    ir.close();
    dir.close();
}
 

import org.apache.lucene.search.highlight.DefaultEncoder; //导入依赖的package包/类
public void testCustomUnifiedHighlighter() throws Exception {
    Directory dir = newDirectory();
    IndexWriterConfig iwc = newIndexWriterConfig(new MockAnalyzer(random()));
    iwc.setMergePolicy(newLogMergePolicy());
    RandomIndexWriter iw = new RandomIndexWriter(random(), dir, iwc);

    FieldType offsetsType = new FieldType(TextField.TYPE_STORED);
    offsetsType.setIndexOptions(IndexOptions.DOCS_AND_FREQS_AND_POSITIONS_AND_OFFSETS);
    offsetsType.setStoreTermVectorOffsets(true);
    offsetsType.setStoreTermVectorPositions(true);
    offsetsType.setStoreTermVectors(true);

    //good position but only one match
    final String firstValue = "This is a test. Just a test1 highlighting from unified highlighter.";
    Field body = new Field("body", "", offsetsType);
    Document doc = new Document();
    doc.add(body);
    body.setStringValue(firstValue);

    //two matches, not the best snippet due to its length though
    final String secondValue = "This is the second highlighting value to perform highlighting on a longer text " +
        "that gets scored lower.";
    Field body2 = new Field("body", "", offsetsType);
    doc.add(body2);
    body2.setStringValue(secondValue);

    //two matches and short, will be scored highest
    final String thirdValue = "This is highlighting the third short highlighting value.";
    Field body3 = new Field("body", "", offsetsType);
    doc.add(body3);
    body3.setStringValue(thirdValue);

    //one match, same as first but at the end, will be scored lower due to its position
    final String fourthValue = "Just a test4 highlighting from unified highlighter.";
    Field body4 = new Field("body", "", offsetsType);
    doc.add(body4);
    body4.setStringValue(fourthValue);

    iw.addDocument(doc);

    IndexReader ir = iw.getReader();
    iw.close();

    String firstHlValue = "Just a test1 <b>highlighting</b> from unified highlighter.";
    String secondHlValue = "This is the second <b>highlighting</b> value to perform <b>highlighting</b> on a" +
        " longer text that gets scored lower.";
    String thirdHlValue = "This is <b>highlighting</b> the third short <b>highlighting</b> value.";
    String fourthHlValue = "Just a test4 <b>highlighting</b> from unified highlighter.";

    IndexSearcher searcher = newSearcher(ir);
    Query query = new TermQuery(new Term("body", "highlighting"));

    TopDocs topDocs = searcher.search(query, 10, Sort.INDEXORDER);
    assertThat(topDocs.totalHits, equalTo(1));

    int docId = topDocs.scoreDocs[0].doc;

    String fieldValue = firstValue + HighlightUtils.PARAGRAPH_SEPARATOR + secondValue +
        HighlightUtils.PARAGRAPH_SEPARATOR + thirdValue + HighlightUtils.PARAGRAPH_SEPARATOR + fourthValue;

    CustomUnifiedHighlighter highlighter = new CustomUnifiedHighlighter(searcher, iwc.getAnalyzer(),
        new CustomPassageFormatter("<b>", "</b>", new DefaultEncoder()), null, fieldValue, true);
    Snippet[] snippets = highlighter.highlightField("body", query, docId, 5);

    assertThat(snippets.length, equalTo(4));

    assertThat(snippets[0].getText(), equalTo(firstHlValue));
    assertThat(snippets[1].getText(), equalTo(secondHlValue));
    assertThat(snippets[2].getText(), equalTo(thirdHlValue));
    assertThat(snippets[3].getText(), equalTo(fourthHlValue));
    ir.close();
    dir.close();
}
 

import org.apache.lucene.search.highlight.DefaultEncoder; //导入依赖的package包/类
public void testNoMatchSize() throws Exception {
    Directory dir = newDirectory();
    Analyzer analyzer = new StandardAnalyzer();
    IndexWriterConfig iwc = newIndexWriterConfig(analyzer);
    iwc.setMergePolicy(newLogMergePolicy());
    RandomIndexWriter iw = new RandomIndexWriter(random(), dir, iwc);

    FieldType offsetsType = new FieldType(TextField.TYPE_STORED);
    offsetsType.setIndexOptions(IndexOptions.DOCS_AND_FREQS_AND_POSITIONS_AND_OFFSETS);
    offsetsType.setStoreTermVectorOffsets(true);
    offsetsType.setStoreTermVectorPositions(true);
    offsetsType.setStoreTermVectors(true);
    Field body = new Field("body", "", offsetsType);
    Field none = new Field("none", "", offsetsType);
    Document doc = new Document();
    doc.add(body);
    doc.add(none);

    String firstValue = "This is a test. Just a test highlighting from unified. Feel free to ignore.";
    body.setStringValue(firstValue);
    none.setStringValue(firstValue);
    iw.addDocument(doc);

    IndexReader ir = iw.getReader();
    iw.close();

    Query query = new TermQuery(new Term("none", "highlighting"));

    IndexSearcher searcher = newSearcher(ir);
    TopDocs topDocs = searcher.search(query, 10, Sort.INDEXORDER);
    assertThat(topDocs.totalHits, equalTo(1));
    int docId = topDocs.scoreDocs[0].doc;

    CustomPassageFormatter passageFormatter = new CustomPassageFormatter("<b>", "</b>", new DefaultEncoder());
    CustomUnifiedHighlighter highlighter = new CustomUnifiedHighlighter(searcher, analyzer, passageFormatter,
        null, firstValue, false);
    Snippet[] snippets = highlighter.highlightField("body", query, docId, 5);
    assertThat(snippets.length, equalTo(0));

    highlighter = new CustomUnifiedHighlighter(searcher, analyzer, passageFormatter, null, firstValue, true);
    snippets = highlighter.highlightField("body", query, docId, 5);
    assertThat(snippets.length, equalTo(1));
    assertThat(snippets[0].getText(), equalTo("This is a test."));
    ir.close();
    dir.close();
}
 

import org.apache.lucene.search.highlight.DefaultEncoder; //导入依赖的package包/类
public void testMultiValuedSortByScore() throws IOException {
  Directory dir = newDirectory();
  IndexWriter writer = new IndexWriter( dir, newIndexWriterConfig(new MockAnalyzer( random() ) ) );
  Document doc = new Document();
  FieldType type = new FieldType( TextField.TYPE_STORED );
  type.setStoreTermVectorOffsets( true );
  type.setStoreTermVectorPositions( true );
  type.setStoreTermVectors( true );
  type.freeze();
  doc.add( new Field( "field", "zero if naught", type ) ); // The first two fields contain the best match
  doc.add( new Field( "field", "hero of legend", type ) ); // but total a lower score (3) than the bottom
  doc.add( new Field( "field", "naught of hero", type ) ); // two fields (4)
  doc.add( new Field( "field", "naught of hero", type ) );
  writer.addDocument(doc);

  FastVectorHighlighter highlighter = new FastVectorHighlighter();
  
  ScoreOrderFragmentsBuilder fragmentsBuilder = new ScoreOrderFragmentsBuilder();    
  fragmentsBuilder.setDiscreteMultiValueHighlighting( true );
  IndexReader reader = DirectoryReader.open(writer, true );
  String[] preTags = new String[] { "<b>" };
  String[] postTags = new String[] { "</b>" };
  Encoder encoder = new DefaultEncoder();
  int docId = 0;
  BooleanQuery query = new BooleanQuery();
  query.add( clause( "field", "hero" ), Occur.SHOULD);
  query.add( clause( "field", "of" ), Occur.SHOULD);
  query.add( clause( "field", "legend" ), Occur.SHOULD);
  FieldQuery fieldQuery = highlighter.getFieldQuery( query, reader );

  for ( FragListBuilder fragListBuilder : new FragListBuilder[] {
    new SimpleFragListBuilder(), new WeightedFragListBuilder() } ) {
    String[] bestFragments = highlighter.getBestFragments( fieldQuery, reader, docId, "field", 20, 1,
        fragListBuilder, fragmentsBuilder, preTags, postTags, encoder );
    assertEquals("<b>hero</b> <b>of</b> <b>legend</b>", bestFragments[0]);
    bestFragments = highlighter.getBestFragments( fieldQuery, reader, docId, "field", 28, 1,
        fragListBuilder, fragmentsBuilder, preTags, postTags, encoder );
    assertEquals("<b>hero</b> <b>of</b> <b>legend</b>", bestFragments[0]);
    bestFragments = highlighter.getBestFragments( fieldQuery, reader, docId, "field", 30000, 1,
        fragListBuilder, fragmentsBuilder, preTags, postTags, encoder );
    assertEquals("<b>hero</b> <b>of</b> <b>legend</b>", bestFragments[0]);
  }

  reader.close();
  writer.close();
  dir.close();
}
 

import org.apache.lucene.search.highlight.DefaultEncoder; //导入依赖的package包/类
private void matchedFieldsTestCase( boolean useMatchedFields, boolean fieldMatch, String fieldValue, String expected, Query... queryClauses ) throws IOException {
  Document doc = new Document();
  FieldType stored = new FieldType( TextField.TYPE_STORED );
  stored.setStoreTermVectorOffsets( true );
  stored.setStoreTermVectorPositions( true );
  stored.setStoreTermVectors( true );
  stored.freeze();
  FieldType matched = new FieldType( TextField.TYPE_NOT_STORED );
  matched.setStoreTermVectorOffsets( true );
  matched.setStoreTermVectorPositions( true );
  matched.setStoreTermVectors( true );
  matched.freeze();
  doc.add( new Field( "field", fieldValue, stored ) );               // Whitespace tokenized with English stop words
  doc.add( new Field( "field_exact", fieldValue, matched ) );        // Whitespace tokenized without stop words
  doc.add( new Field( "field_super_exact", fieldValue, matched ) );  // Whitespace tokenized without toLower
  doc.add( new Field( "field_characters", fieldValue, matched ) );   // Each letter is a token
  doc.add( new Field( "field_tripples", fieldValue, matched ) );     // Every three letters is a token
  doc.add( new Field( "field_sliced", fieldValue.substring( 0,       // Sliced at 10 chars then analyzed just like field
    Math.min( fieldValue.length() - 1 , 10 ) ), matched ) );
  doc.add( new Field( "field_der_red", new CannedTokenStream(        // Hacky field containing "der" and "red" at pos = 0
        token( "der", 1, 0, 3 ),
        token( "red", 0, 0, 3 )
      ), matched ) );

  final Map<String, Analyzer> fieldAnalyzers = new TreeMap<>();
  fieldAnalyzers.put( "field", new MockAnalyzer( random(), MockTokenizer.WHITESPACE, true, MockTokenFilter.ENGLISH_STOPSET ) );
  fieldAnalyzers.put( "field_exact", new MockAnalyzer( random() ) );
  fieldAnalyzers.put( "field_super_exact", new MockAnalyzer( random(), MockTokenizer.WHITESPACE, false ) );
  fieldAnalyzers.put( "field_characters", new MockAnalyzer( random(), new CharacterRunAutomaton( new RegExp(".").toAutomaton() ), true ) );
  fieldAnalyzers.put( "field_tripples", new MockAnalyzer( random(), new CharacterRunAutomaton( new RegExp("...").toAutomaton() ), true ) );
  fieldAnalyzers.put( "field_sliced", fieldAnalyzers.get( "field" ) );
  fieldAnalyzers.put( "field_der_red", fieldAnalyzers.get( "field" ) );  // This is required even though we provide a token stream
  Analyzer analyzer = new DelegatingAnalyzerWrapper(Analyzer.PER_FIELD_REUSE_STRATEGY) {
    public Analyzer getWrappedAnalyzer(String fieldName) {
      return fieldAnalyzers.get( fieldName );
    }
  };

  Directory dir = newDirectory();
  IndexWriter writer = new IndexWriter( dir, newIndexWriterConfig(analyzer));
  writer.addDocument( doc );

  FastVectorHighlighter highlighter = new FastVectorHighlighter();
  FragListBuilder fragListBuilder = new SimpleFragListBuilder();
  FragmentsBuilder fragmentsBuilder = new ScoreOrderFragmentsBuilder();
  IndexReader reader = DirectoryReader.open( writer, true );
  String[] preTags = new String[] { "<b>" };
  String[] postTags = new String[] { "</b>" };
  Encoder encoder = new DefaultEncoder();
  int docId = 0;
  BooleanQuery query = new BooleanQuery();
  for ( Query clause : queryClauses ) {
    query.add( clause, Occur.MUST );
  }
  FieldQuery fieldQuery = new FieldQuery( query, reader, true, fieldMatch );
  String[] bestFragments;
  if ( useMatchedFields ) {
    Set< String > matchedFields = new HashSet<>();
    matchedFields.add( "field" );
    matchedFields.add( "field_exact" );
    matchedFields.add( "field_super_exact" );
    matchedFields.add( "field_characters" );
    matchedFields.add( "field_tripples" );
    matchedFields.add( "field_sliced" );
    matchedFields.add( "field_der_red" );
    bestFragments = highlighter.getBestFragments( fieldQuery, reader, docId, "field", matchedFields, 25, 1,
      fragListBuilder, fragmentsBuilder, preTags, postTags, encoder );
  } else {
    bestFragments = highlighter.getBestFragments( fieldQuery, reader, docId, "field", 25, 1,
      fragListBuilder, fragmentsBuilder, preTags, postTags, encoder );
  }
  assertEquals( expected, bestFragments[ 0 ] );

  reader.close();
  writer.close();
  dir.close();
}
 

import org.apache.lucene.search.highlight.DefaultEncoder; //导入依赖的package包/类
private void matchedFieldsTestCase( boolean useMatchedFields, boolean fieldMatch, String fieldValue, String expected, Query... queryClauses ) throws IOException {
  Document doc = new Document();
  FieldType stored = new FieldType( TextField.TYPE_STORED );
  stored.setStoreTermVectorOffsets( true );
  stored.setStoreTermVectorPositions( true );
  stored.setStoreTermVectors( true );
  stored.freeze();
  FieldType matched = new FieldType( TextField.TYPE_NOT_STORED );
  matched.setStoreTermVectorOffsets( true );
  matched.setStoreTermVectorPositions( true );
  matched.setStoreTermVectors( true );
  matched.freeze();
  doc.add( new Field( "field", fieldValue, stored ) );               // Whitespace tokenized with English stop words
  doc.add( new Field( "field_exact", fieldValue, matched ) );        // Whitespace tokenized without stop words
  doc.add( new Field( "field_super_exact", fieldValue, matched ) );  // Whitespace tokenized without toLower
  doc.add( new Field( "field_characters", fieldValue, matched ) );   // Each letter is a token
  doc.add( new Field( "field_tripples", fieldValue, matched ) );     // Every three letters is a token
  doc.add( new Field( "field_sliced", fieldValue.substring( 0,       // Sliced at 10 chars then analyzed just like field
    Math.min( fieldValue.length() - 1 , 10 ) ), matched ) );
  doc.add( new Field( "field_der_red", new CannedTokenStream(        // Hacky field containing "der" and "red" at pos = 0
        token( "der", 1, 0, 3 ),
        token( "red", 0, 0, 3 )
      ), matched ) );

  final Map<String, Analyzer> fieldAnalyzers = new TreeMap<String, Analyzer>();
  fieldAnalyzers.put( "field", new MockAnalyzer( random(), MockTokenizer.WHITESPACE, true, MockTokenFilter.ENGLISH_STOPSET ) );
  fieldAnalyzers.put( "field_exact", new MockAnalyzer( random() ) );
  fieldAnalyzers.put( "field_super_exact", new MockAnalyzer( random(), MockTokenizer.WHITESPACE, false ) );
  fieldAnalyzers.put( "field_characters", new MockAnalyzer( random(), new CharacterRunAutomaton( new RegExp(".").toAutomaton() ), true ) );
  fieldAnalyzers.put( "field_tripples", new MockAnalyzer( random(), new CharacterRunAutomaton( new RegExp("...").toAutomaton() ), true ) );
  fieldAnalyzers.put( "field_sliced", fieldAnalyzers.get( "field" ) );
  fieldAnalyzers.put( "field_der_red", fieldAnalyzers.get( "field" ) );  // This is required even though we provide a token stream
  Analyzer analyzer = new AnalyzerWrapper() {
    public Analyzer getWrappedAnalyzer(String fieldName) {
      return fieldAnalyzers.get( fieldName );
    }
  };

  Directory dir = newDirectory();
  IndexWriter writer = new IndexWriter( dir, newIndexWriterConfig( TEST_VERSION_CURRENT, analyzer ) );
  writer.addDocument( doc );

  FastVectorHighlighter highlighter = new FastVectorHighlighter();
  FragListBuilder fragListBuilder = new SimpleFragListBuilder();
  FragmentsBuilder fragmentsBuilder = new ScoreOrderFragmentsBuilder();
  IndexReader reader = DirectoryReader.open( writer, true );
  String[] preTags = new String[] { "<b>" };
  String[] postTags = new String[] { "</b>" };
  Encoder encoder = new DefaultEncoder();
  int docId = 0;
  BooleanQuery query = new BooleanQuery();
  for ( Query clause : queryClauses ) {
    query.add( clause, Occur.MUST );
  }
  FieldQuery fieldQuery = new FieldQuery( query, reader, true, fieldMatch );
  String[] bestFragments;
  if ( useMatchedFields ) {
    Set< String > matchedFields = new HashSet< String >();
    matchedFields.add( "field" );
    matchedFields.add( "field_exact" );
    matchedFields.add( "field_super_exact" );
    matchedFields.add( "field_characters" );
    matchedFields.add( "field_tripples" );
    matchedFields.add( "field_sliced" );
    matchedFields.add( "field_der_red" );
    bestFragments = highlighter.getBestFragments( fieldQuery, reader, docId, "field", matchedFields, 25, 1,
      fragListBuilder, fragmentsBuilder, preTags, postTags, encoder );
  } else {
    bestFragments = highlighter.getBestFragments( fieldQuery, reader, docId, "field", 25, 1,
      fragListBuilder, fragmentsBuilder, preTags, postTags, encoder );
  }
  assertEquals( expected, bestFragments[ 0 ] );

  reader.close();
  writer.close();
  dir.close();
}