本文整理汇总了Java中org.apache.lucene.analysis.AnalyzerWrapper类的典型用法代码示例。如果您正苦于以下问题：Java AnalyzerWrapper类的具体用法？Java AnalyzerWrapper怎么用？Java AnalyzerWrapper使用的例子？那么恭喜您, 这里精选的类代码示例或许可以为您提供帮助。
AnalyzerWrapper类属于org.apache.lucene.analysis包，在下文中一共展示了AnalyzerWrapper类的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Java代码示例。
示例1: matchedFieldsTestCase
import org.apache.lucene.analysis.AnalyzerWrapper; //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();
}