Zend Framework之Search_Lucene实例

//创建具有不同特点的字段
   $doc = new Zend_Search_Lucene_Document();// Field is not tokenized, but is indexed and stored within the index.
   // Stored fields can be retrived from the index.
   $doc->addField(Zend_Search_Lucene_Field::Keyword('doctype', 'autogenerated'));
   // Field is not tokenized nor indexed, but is stored in the index.
   $doc->addField(Zend_Search_Lucene_Field::UnIndexed('created', time()));
   // Binary String valued Field that is not tokenized nor indexed,
   // but is stored in the index.
   $doc->addField(Zend_Search_Lucene_Field::Binary('icon', $iconData));
   // Field is tokenized and indexed, and is stored in the index.
   $doc->addField(Zend_Search_Lucene_Field::Text('annotation', 'Document annotation text'));
   // Field is tokenized and indexed, but that is not stored in the index.
   $doc->addField(Zend_Search_Lucene_Field::UnStored('contents', 'My document content'));

Keyword 关键词字段是被保存和被索引的，意思是它们既可以被搜索，也可以在搜索结果中被显示。它们并没有以记号化的方式拆分为多个不同的词。在 Zend_Search_Lucene 中，枚举形的数据库字段通常可以很好的转化为关键词字段。

UnIndexed 不索引字段是不可搜索的，但是它们会在搜索结果中返回用于生成点击信息。数据库的时间戳、主键、文件系统的路径、以及其它标识是不索引字段的好的候选人。

Binary 二进制字段是不记号化和不被索引的，但是被保存以供生成点击信息。它们可以用于保存任何以二进制方式编码的信息，例如图标等等。

Text 文本字段是被保存的、被索引的和记号化的。文本字段适合用于保存像是主题、标题这样既能被搜索又能作为搜索结果返回的信息。

UnStored 不保存字段是记号化和被索引的，但并不保存在索引中。大量的文本信息最好使用这种字段类型。保存的数据在硬盘上创建了大量的索引，如果你需要搜索而不需要在搜索结果中显示这些数据，就使用不保存字段。当结合使用 Zend_Search_Lucene 索引和关系数据库时最适合使用不保存字段。你通过不保存字段索引大量数据用于搜索，并通过作为标识的特定字段从你的关系数据库中获取它们。

表 27.1. Zend_Search_Lucene_Field 类型

字段类型	保存	索引	记号化	二进制
Keyword	是	是	否	否
UnIndexed	是	否	否	否
Binary	是	否	否	是
Text	是	是	是	否
UnStored	否	是	是	否

   
   //创建索引
   // Setting the second argument to TRUE creates a new index
   $index = new Zend_Search_Lucene('/data/my-index', true);
   $doc = new Zend_Search_Lucene_Document();
   // Store document URL to identify it in search result.
   $doc->addField(Zend_Search_Lucene_Field::Text('url', $docUrl));
   // Index document content
   $doc->addField(Zend_Search_Lucene_Field::UnStored('contents', $docContent));
   // Add document to the index.
   $index->addDocument($doc);
   // Write changes to the index.
   $index->commit();
   
   //更新索引
   // Open existing index
   $index = new Zend_Search_Lucene('/data/my-index');
   $doc = new Zend_Search_Lucene_Document();
   // Store document URL to identify it in search result.
   $doc->addField(Zend_Search_Lucene_Field::Text('url', $docUrl));
   // Index document content
   $doc->addField(Zend_Search_Lucene_Field::UnStored('contents', $docContent));
   // Add document to the index.
   $index->addDocument($doc);
   // Write changes to
   $index->commit();
   
   //搜索索引
   $index = new Zend_Search_Lucene('/data/my_index');
   $index->find($query);
   
   //搜索结果是一个 Zend_Search_Lucene_Search_QueryHit 对象数组
   $index = new Zend_Search_Lucene('/data/my_index');
   $hits = $index->find($query);
   foreach ($hits as $hit) {  
     echo $hit->id;   
     echo $hit->score;   
     echo $hit->title;   
     echo $hit->author;
   }
   
   //原始的 Zend_Search_Lucene_Document 对象可以从 Zend_Search_Lucene_Search_QueryHit 获得
   $index = new Zend_Search_Lucene('/data/my_index');
   $hits = $index->find($query);
   foreach ($hits as $hit) {  
     // return Zend_Search_Lucene_Document object for this hit   
     echo $document = $hit->getDocument();   
     // return a Zend_Search_Lucene_Field object   
     // from the Zend_Search_Lucene_Document   
     echo $document->getField('title');   
     // return the string value of the Zend_Search_Lucene_Field object   
     echo $document->getFieldValue('title');   
     // same as getFieldValue()   
     echo $document->title;
   }
   
   //Zend_Search_Lucene 使用和 Java Lucene 一样的评分算法。搜索结果是按照分值进行排序的。分值越大，相应的搜索结果点击排在排位越靠前。
   $hits = $index->find($query);
   foreach ($hits as $hit) {   
    echo $hit->id;   
    echo $hit->score;
   }
   
   //单项查询
   $hits = $index->find('word1');//查询字串
   //通过 API 创建查询：
   $term  = new Zend_Search_Lucene_Index_Term('word1');   
   $query = new Zend_Search_Lucene_Search_Query_Term($term);   
   $hits  = $index->find($query);
   
   //多项查询
   $hits = $index->find('+word1 author:word2 -word3');//查询字串
   //通过 API 创建查询：
   $query = new Zend_Search_Lucene_Search_Query_MultiTerm();   
   $query->addTerm(new Zend_Search_Lucene_Index_Term('word1'), true);   
   $query->addTerm(new Zend_Search_Lucene_Index_Term('word2'), null);   
   $query->addTerm(new Zend_Search_Lucene_Index_Term('word3'), false);   
   $hits  = $index->find($query);
   
   //短语查询
   $query1 = new Zend_Search_Lucene_Search_Query_Phrase();
   // Add 'word1' at 0 relative position.
   $query1->addTerm(new Zend_Search_Lucene_Index_Term('word1'));
   // Add 'word2' at 1 relative position.
   $query1->addTerm(new Zend_Search_Lucene_Index_Term('word2'));
   // Add 'word3' at 3 relative position.
   $query1->addTerm(new Zend_Search_Lucene_Index_Term('word3'), 3);
   
   Zend_Search_Lucene_Search_Query_Phrase([array $terms[, array $offsets[, string $field]]]);

   //查询zend framework
   $query = new Zend_Search_Lucene_Search_Query_Phrase(array('zend', 'framework'));
   //将会搜索短语“zend ????? download”并匹配'zend platform download'、 'zend studio download'
   $query = new Zend_Search_Lucene_Search_Query_Phrase(array('zend', 'download'), array(0, 2));
   //在title字段中搜索zend framework
   $query = new Zend_Search_Lucene_Search_Query_Phrase(array('zend', 'framework'), null, 'title');
   
   Zend_Search_Lucene_Search_Query_Phrase::addTerm(Zend_Search_Lucene_Index_Term $term[, integer $position]);
   //查询zend framework
   $query = new Zend_Search_Lucene_Search_Query_Phrase();
   $query->addTerm(new Zend_Search_Lucene_Index_Term('zend'));
   $query->addTerm(new Zend_Search_Lucene_Index_Term('framework'));
   ////将会搜索短语“zend ????? download”并匹配'zend platform download'、 'zend studio download'
   $query = new Zend_Search_Lucene_Search_Query_Phrase();
   $query->addTerm(new Zend_Search_Lucene_Index_Term('zend'), 0);
   $query->addTerm(new Zend_Search_Lucene_Index_Term('framework'), 2);
   //在title字段中搜索zend framework
   $query = new Zend_Search_Lucene_Search_Query_Phrase();
   $query->addTerm(new Zend_Search_Lucene_Index_Term('zend', 'title'));
   $query->addTerm(new Zend_Search_Lucene_Index_Term('framework', 'title'));

   //查询模糊因子
   // Query without a gap.
   $query = new Zend_Search_Lucene_Search_Query_Phrase(array('word1', 'word2'));
   // Search for 'word1 word2', 'word1 ... word2'
   $query->setSlop(1);
   $hits1 = $index->find($query);
   // Search for 'word1 word2', 'word1 ... word2','word1 ... ... word2', 'word2 word1'
   $query->setSlop(2);
   $hits2 = $index->find($query);
   
   //字符集
   $doc = new Zend_Search_Lucene_Document();
   $docText = iconv('ISO-8859-1', 'ASCII//TRANSLIT', $docText);
   $doc->addField(Zend_Search_Lucene_Field::UnStored('contents', $docText));
   $query = iconv('', 'ASCII//TRANSLIT', $query);$hits = $index->find($query);

 

简单例子

   $index = new Zend_Search_Lucene('my-index', true);
   
   $doc = new Zend_Search_Lucene_Document();
   
   // Store document URL to identify it in search result.
   $doc->addField(Zend_Search_Lucene_Field::Text('url', ''));
   
   // Index document content
   $doc->addField(Zend_Search_Lucene_Field::UnStored('contents', 'this is just a test of Zend_Search_lucene'));
   
   // Add document to the index.
   $index->addDocument($doc);
   
   // Write changes to the index.
   $index->commit();

   //$query='test';//查询的关键字
   $term  = new Zend_Search_Lucene_Index_Term('test');   
     $query = new Zend_Search_Lucene_Search_Query_Term($term);   
   $hits = $index->find($query);//得到查询的结果
   if(!empty($hits)){
    foreach ($hits as $hit) {
        echo 'Score:'.$hit->score.'
';
        echo 'Url:'.$hit->url.'

---

';
        echo 'ID:'.$hit->id.'

---

';
    }
   }else {
    error_message("没有相关的信息!");
   }