Lucene（3.5）的幾個(gè)查詢

閑來(lái)看看 2012-05-17

展開(kāi)全文

幾個(gè)查詢用法如下代碼：

其中

數(shù)字范圍查詢：索引時(shí)字段保存為

new NumericField(name, Field.Store.YES(NO), true(false).setIntValue( num );

Query numericRangeQuery = NumericRangeQuery.newIntRange("size", 20, 150, true, true);

時(shí)間范圍查詢,，其實(shí)就是數(shù)字范圍查詢,，因?yàn)槎贾繢ate是根據(jù)一個(gè)long 型變量構(gòu)造出來(lái)的

所以用法同上,，只不過(guò)需要對(duì)傳入的日期格式轉(zhuǎn)換成long

[java] view plain copy ?

public class QueryTest {
@Test
public void testTermQuery() throws Exception {
// Term t = new Term("content", "服裝");
Term term = new Term("size", "53");
TermQuery termQuery = new TermQuery(term);
doSearch(termQuery);
}
@Test
public void testRangeQuery() throws Exception {
// 通過(guò)范圍查找，這里比較的是字符串, 所以實(shí)際 20 比 150 大 ,，即找不到結(jié)果
// Query termRangeQuery = new TermRangeQuery("size", "020", "150", true, true);
//雖然可以通過(guò)給20 補(bǔ)0 （即 020）實(shí)現(xiàn)20和150的比較,，不過(guò)太麻煩，而且不同的情況補(bǔ)0也不同
//Lucene 提供了NumberTools.longToString(num), 已過(guò)時(shí)
//查看api,， NumberTools類(lèi)已被NumericUtils代替
//修改如下還是出不來(lái)想要的結(jié)果,，
//
// Query termRangeQuery = new TermRangeQuery("size", NumericUtils.longToPrefixCoded(20L), NumericUtils.longToPrefixCoded(150L), true, true);
//結(jié)果new了半天都沒(méi)new出來(lái)，繼續(xù)查api：
//You create a new NumericRangeQuery with the static factory methods, eg:
//Query q = NumericRangeQuery.newFloatRange("weight", 0.03f, 0.10f, true, true);
//換了半天總與出來(lái)了,，原因是建立索引時(shí)：使用的Field,，而使用NumericRangeQuery，必須使用NumericField：
//api:
//A Query that matches numeric values within a specified range. To use this,
//you must first index the numeric values using NumericField (expert: NumericTokenStream).
//If your terms are instead textual, you should use TermRangeQuery.
//NumericRangeFilter is the filter equivalent of this query.
//numericField有別于Field的幾點(diǎn)：
//NumericField size = new NumericField("size", Field.Store.YES, true);
//size.setLongValue(file.length());
Query numericRangeQuery = NumericRangeQuery.newLongRange("size", 20L, 150L, true, true);
doSearch(numericRangeQuery);
}
@Test
public void testPrefixQuery() throws Exception {
//Term term = new Term("content", "子");//如果存在“子”開(kāi)頭的分詞,，就符合條件查出來(lái)了
Term term = new Term("name", "j");//如果存在“子”開(kāi)頭的分詞,，就符合條件查出來(lái)了
PrefixQuery prefixQuery = new PrefixQuery(term);
doSearch(prefixQuery);
}
@Test
public void testBooleanQuery() throws Exception {
//query 1
//查詢時(shí)間符合以下min_time到max_time區(qū)間段的文件
long min_time = 1334485513724L - 1000L;
long max_time = 1334485513724L + 1000L;
Query num_range_query = NumericRangeQuery.newLongRange("date", min_time, max_time, true, true);
//query 2
Query termQuery = new TermQuery(new Term("name", "test"));//那么重存在test
//query 3
Query prefixQuery = new PrefixQuery(new Term("name", "j"));
BooleanQuery booleanQuery = new BooleanQuery();
booleanQuery.add(num_range_query, BooleanClause.Occur.MUST);//查詢結(jié)果一定要在以上時(shí)間范圍區(qū)間
booleanQuery.add(termQuery, BooleanClause.Occur.MUST_NOT);//查詢結(jié)果不能包含name=test的結(jié)果
booleanQuery.add(prefixQuery, BooleanClause.Occur.SHOULD);//可選項(xiàng)
doSearch(booleanQuery);
}
@Test
public void testPhraseQuery() throws Exception {
PhraseQuery phraseQuery = new PhraseQuery();
//為什么就沒(méi)有add(term) 方法呢？
//因?yàn)镼uery類(lèi)里面沒(méi)有此方法
//Query phraseQuery = new PhraseQuery();
String[] strs = {"quick", "brown", "jumped", "lazy"};
//the quick brown fox jumped over the lazy dog
//quick--1->brown, brown--2->jumped, jumped--3->lazy, 所以slop設(shè)成3才會(huì)有結(jié)果搜到
//前面的單詞要移動(dòng)slop次到達(dá)后面的單詞（相鄰的單詞）, 需要注意的是brown-->jumped和 jumped-->brown需要的slop值不同
//參考《Lucene 實(shí)戰(zhàn)（第二版）lucene in action》 P92
phraseQuery.setSlop(3);
for(String s: strs){
phraseQuery.add(new Term("content", s));
}
doSearch(phraseQuery);
}
/**
* 使用通配符查詢,，可能會(huì)降低系統(tǒng)性能
* @throws Exception
*/
@Test
public void testWildcardQuery() throws Exception {
//Term term = new Term("name", "ja?a");//? 匹配單個(gè)
Term term = new Term("content", "全*大");//* 匹配所有
Query wildcardQuery = new WildcardQuery(new Term("name", "j*a"));
doSearch(wildcardQuery);
}
/**
* 模糊查詢
* @throws Exception
*/
@Test
public void testFuzzyQuery() throws Exception {
Term term = new Term("name", "jeav");//通過(guò)jeav與實(shí)際字段的相似程度查詢
Query fuzzyQuery = new FuzzyQuery(term);
doSearch(fuzzyQuery);
}
private void doSearch(Query query) throws Exception{
Directory dir = FSDirectory.open(new File("E:/lucene/index"));
IndexReader reader = IndexReader.open(dir);
IndexSearcher searcher = new IndexSearcher(reader);
TopDocs hits = searcher.search(query, 100);
System.out.println("共找到" + hits.totalHits + "條記錄");
ScoreDoc[] docs = hits.scoreDocs;
for(int i = 0; i < docs.length; i++){
int docId = docs[i].doc;
Document doc = searcher.doc(docId);
System.out.println("name: " + doc.get("name"));
System.out.println("size: " + doc.get("size"));
System.out.println("content: " + doc.get("content"));
}
searcher.close();
}
}

本站是提供個(gè)人知識(shí)管理的網(wǎng)絡(luò)存儲(chǔ)空間,，所有內(nèi)容均由用戶發(fā)布，不代表本站觀點(diǎn)。請(qǐng)注意甄別內(nèi)容中的聯(lián)系方式,、誘導(dǎo)購(gòu)買(mǎi)等信息,，謹(jǐn)防詐騙。如發(fā)現(xiàn)有害或侵權(quán)內(nèi)容,，請(qǐng)點(diǎn)擊一鍵舉報(bào),。

轉(zhuǎn)藏 分享

QQ空間 QQ好友新浪微博微信

獻(xiàn)花（0） +1

來(lái)自：閑來(lái)看看 > 《電腦與網(wǎng)絡(luò)問(wèn)題》

舉報(bào)/認(rèn)領(lǐng)