Lucene3.6 之 Filter

1、TermRangeFilter
A Filter that restricts search results to a range of term values in a given field.

This filter matches the documents looking for terms that fall into the supplied range according to Byte.compareTo(Byte), It is not intended for numerical ranges; use NumericRangeFilter instead.

If you construct a large number of range filters with different ranges but on the same field, FieldCacheRangeFilter may have significantly better performance.

示例代码

[java] view
plaincopy

@Test

public void testTermRangeFilter(){

try {

String path = "D:\\LuceneEx\\day01";

String keyword = "android";

File file = new File(path);

Directory mdDirectory = FSDirectory.open(file);

// 使用 商业分词器

Analyzer mAnalyzer = new IKAnalyzer();

IndexReader reader = IndexReader.open(mdDirectory);

IndexSearcher searcher = new IndexSearcher(reader);

String[] fields = { "title", "category" }; // (在多个Filed中搜索)

QueryParser parser = new MultiFieldQueryParser(Version.LUCENE_36,

fields, mAnalyzer);

Query query = parser.parse(keyword);

//查询publishTime范围在2011-09 - 2012-06之间的记录

Filter filter = new TermRangeFilter("publishTime", "2011-09", "2012-06", true, true);

TopDocs tops = searcher.search(query, filter, 100);

int count = tops.totalHits;

System.out.println("totalHits=" + count);

ScoreDoc[] docs = tops.scoreDocs;

for (int i = 0; i < docs.length; i++) {

Document doc = searcher.doc(docs[i].doc);

float score = docs[i].score;

int id = Integer.parseInt(doc.get("id"));

String title = doc.get("title");

String author = doc.get("author");

String publishTime = doc.get("publishTime");

String source = doc.get("source");

String category = doc.get("category");

float reputation = Float.parseFloat(doc.get("reputation"));

System.out.println(id + "\t" + title + "\t" + author + "\t"

+ publishTime + "\t" + source + "\t" + category + "\t"

+ reputation+"\t"+score);

}

reader.close();

searcher.close();

} catch (CorruptIndexException e) {

e.printStackTrace();

} catch (IOException e) {

e.printStackTrace();

} catch (ParseException e) {

e.printStackTrace();

}

}

2、NumericRangeFilter
A Filter that only accepts numeric values within a specified range. To use this, you must first index the numeric values using IntField, FloatField, LongField or DoubleField (expert:
NumericTokenStream).

示例代码

@Test

public void testNumericRangeFilter(){

try {

String path = "D:\\LuceneEx\\day02";

String keyword = "android";

File file = new File(path);

Directory mdDirectory = FSDirectory.open(file);

// 使用 商业分词器

Analyzer mAnalyzer = new IKAnalyzer();

IndexReader reader = IndexReader.open(mdDirectory);

IndexSearcher searcher = new IndexSearcher(reader);

String[] fields = { "title", "category" }; // (在多个Filed中搜索)

QueryParser parser = new MultiFieldQueryParser(Version.LUCENE_36,

fields, mAnalyzer);

Query query = parser.parse(keyword);

//过滤 reputation 在9.0f到 9.8 分之间 的记录

Filter filter = NumericRangeFilter.newFloatRange("reputation", 9.0f, 9.8f, true, true);

TopDocs tops = searcher.search(query, filter, 100);

int count = tops.totalHits;

System.out.println("totalHits=" + count);

ScoreDoc[] docs = tops.scoreDocs;

for (int i = 0; i < docs.length; i++) {

Document doc = searcher.doc(docs[i].doc);

float score = docs[i].score;

int id = Integer.parseInt(doc.get("id"));

String title = doc.get("title");

String author = doc.get("author");

String publishTime = doc.get("publishTime");

String source = doc.get("source");

String category = doc.get("category");

float reputation = Float.parseFloat(doc.get("reputation"));

System.out.println(id + "\t" + title + "\t" + author + "\t"

+ publishTime + "\t" + source + "\t" + category + "\t"

+ reputation+"\t"+score);

}

reader.close();

searcher.close();

} catch (CorruptIndexException e) {

e.printStackTrace();

} catch (IOException e) {

e.printStackTrace();

} catch (ParseException e) {

e.printStackTrace();

}

}