• 设为首页
  • 点击收藏
  • 手机版
    手机扫一扫访问
    迪恩网络手机版
  • 关注官方公众号
    微信扫一扫关注
    迪恩网络公众号

PHP Zend_Search_Lucene_Search_Query_Preprocessing_Fuzzy类代码示例

原作者: [db:作者] 来自: [db:来源] 收藏 邀请

本文整理汇总了PHP中Zend_Search_Lucene_Search_Query_Preprocessing_Fuzzy的典型用法代码示例。如果您正苦于以下问题:PHP Zend_Search_Lucene_Search_Query_Preprocessing_Fuzzy类的具体用法?PHP Zend_Search_Lucene_Search_Query_Preprocessing_Fuzzy怎么用?PHP Zend_Search_Lucene_Search_Query_Preprocessing_Fuzzy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。



在下文中一共展示了Zend_Search_Lucene_Search_Query_Preprocessing_Fuzzy类的3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,您的评价将有助于我们的系统推荐出更棒的PHP代码示例。

示例1: getQuery

 /**
  * Transform entry to a subquery
  *
  * @param string $encoding
  * @return Zend_Search_Lucene_Search_Query
  * @throws Zend_Search_Lucene_Search_QueryParserException
  */
 public function getQuery($encoding)
 {
     if ($this->_fuzzyQuery) {
         /** Zend_Search_Lucene_Search_Query_Preprocessing_Fuzzy */
         require_once 'Zend/Search/Lucene/Search/Query/Preprocessing/Fuzzy.php';
         $query = new Zend_Search_Lucene_Search_Query_Preprocessing_Fuzzy($this->_term, $encoding, $this->_field !== null ? iconv($encoding, 'UTF-8', $this->_field) : null, $this->_similarity);
         $query->setBoost($this->_boost);
         return $query;
     }
     /** Zend_Search_Lucene_Search_Query_Preprocessing_Term */
     require_once 'Zend/Search/Lucene/Search/Query/Preprocessing/Term.php';
     $query = new Zend_Search_Lucene_Search_Query_Preprocessing_Term($this->_term, $encoding, $this->_field !== null ? iconv($encoding, 'UTF-8', $this->_field) : null);
     $query->setBoost($this->_boost);
     return $query;
 }
开发者ID:bizanto,项目名称:Hooked,代码行数:22,代码来源:Term.php


示例2: rewrite

 /**
  * Re-write query into primitive queries in the context of specified index
  *
  * @param Zend_Search_Lucene_Interface $index
  * @return Zend_Search_Lucene_Search_Query
  */
 public function rewrite(Zend_Search_Lucene_Interface $index)
 {
     if ($this->_field === null) {
         require_once 'Zend/Search/Lucene/Search/Query/Boolean.php';
         $query = new Zend_Search_Lucene_Search_Query_Boolean();
         $hasInsignificantSubqueries = false;
         require_once 'Zend/Search/Lucene.php';
         if (Zend_Search_Lucene::getDefaultSearchField() === null) {
             $searchFields = $index->getFieldNames(true);
         } else {
             $searchFields = array(Zend_Search_Lucene::getDefaultSearchField());
         }
         require_once 'Zend/Search/Lucene/Search/Query/Preprocessing/Fuzzy.php';
         foreach ($searchFields as $fieldName) {
             $subquery = new Zend_Search_Lucene_Search_Query_Preprocessing_Fuzzy($this->_word, $this->_encoding, $fieldName, $this->_minimumSimilarity);
             $rewrittenSubquery = $subquery->rewrite($index);
             if (!($rewrittenSubquery instanceof Zend_Search_Lucene_Search_Query_Insignificant || $rewrittenSubquery instanceof Zend_Search_Lucene_Search_Query_Empty)) {
                 $query->addSubquery($rewrittenSubquery);
             }
             if ($rewrittenSubquery instanceof Zend_Search_Lucene_Search_Query_Insignificant) {
                 $hasInsignificantSubqueries = true;
             }
         }
         $subqueries = $query->getSubqueries();
         if (count($subqueries) == 0) {
             $this->_matches = array();
             if ($hasInsignificantSubqueries) {
                 require_once 'Zend/Search/Lucene/Search/Query/Insignificant.php';
                 return new Zend_Search_Lucene_Search_Query_Insignificant();
             } else {
                 require_once 'Zend/Search/Lucene/Search/Query/Empty.php';
                 return new Zend_Search_Lucene_Search_Query_Empty();
             }
         }
         if (count($subqueries) == 1) {
             $query = reset($subqueries);
         }
         $query->setBoost($this->getBoost());
         $this->_matches = $query->getQueryTerms();
         return $query;
     }
     // -------------------------------------
     // Recognize exact term matching (it corresponds to Keyword fields stored in the index)
     // encoding is not used since we expect binary matching
     require_once 'Zend/Search/Lucene/Index/Term.php';
     $term = new Zend_Search_Lucene_Index_Term($this->_word, $this->_field);
     if ($index->hasTerm($term)) {
         require_once 'Zend/Search/Lucene/Search/Query/Fuzzy.php';
         $query = new Zend_Search_Lucene_Search_Query_Fuzzy($term, $this->_minimumSimilarity);
         $query->setBoost($this->getBoost());
         // Get rewritten query. Important! It also fills terms matching container.
         $rewrittenQuery = $query->rewrite($index);
         $this->_matches = $query->getQueryTerms();
         return $rewrittenQuery;
     }
     // -------------------------------------
     // Recognize wildcard queries
     /** @todo check for PCRE unicode support may be performed through Zend_Environment in some future */
     if (@preg_match('/\\pL/u', 'a') == 1) {
         $subPatterns = preg_split('/[*?]/u', iconv($this->_encoding, 'UTF-8', $this->_word));
     } else {
         $subPatterns = preg_split('/[*?]/', $this->_word);
     }
     if (count($subPatterns) > 1) {
         require_once 'Zend/Search/Lucene/Search/QueryParserException.php';
         throw new Zend_Search_Lucene_Search_QueryParserException('Fuzzy search doesn\'t support wildcards (except within Keyword fields).');
     }
     // -------------------------------------
     // Recognize one-term multi-term and "insignificant" queries
     require_once 'Zend/Search/Lucene/Analysis/Analyzer.php';
     $tokens = Zend_Search_Lucene_Analysis_Analyzer::getDefault()->tokenize($this->_word, $this->_encoding);
     if (count($tokens) == 0) {
         $this->_matches = array();
         require_once 'Zend/Search/Lucene/Search/Query/Insignificant.php';
         return new Zend_Search_Lucene_Search_Query_Insignificant();
     }
     if (count($tokens) == 1) {
         require_once 'Zend/Search/Lucene/Index/Term.php';
         $term = new Zend_Search_Lucene_Index_Term($tokens[0]->getTermText(), $this->_field);
         require_once 'Zend/Search/Lucene/Search/Query/Fuzzy.php';
         $query = new Zend_Search_Lucene_Search_Query_Fuzzy($term, $this->_minimumSimilarity);
         $query->setBoost($this->getBoost());
         // Get rewritten query. Important! It also fills terms matching container.
         $rewrittenQuery = $query->rewrite($index);
         $this->_matches = $query->getQueryTerms();
         return $rewrittenQuery;
     }
     // Word is tokenized into several tokens
     require_once 'Zend/Search/Lucene/Search/QueryParserException.php';
     throw new Zend_Search_Lucene_Search_QueryParserException('Fuzzy search is supported only for non-multiple word terms');
 }
开发者ID:c12g,项目名称:stratos-php,代码行数:97,代码来源:Fuzzy.php


示例3: getQuery

 /**
  * Transform entry to a subquery
  *
  * @param string $encoding
  * @return Zend_Search_Lucene_Search_Query
  * @throws Zend_Search_Lucene_Search_QueryParserException
  */
 public function getQuery($encoding)
 {
     if ($this->_fuzzyQuery) {
         $query = new Zend_Search_Lucene_Search_Query_Preprocessing_Fuzzy($this->_term, $encoding, $this->_field !== null ? iconv($encoding, 'UTF-8', $this->_field) : null, $this->_similarity);
         $query->setBoost($this->_boost);
         return $query;
     }
     $query = new Zend_Search_Lucene_Search_Query_Preprocessing_Term($this->_term, $encoding, $this->_field !== null ? iconv($encoding, 'UTF-8', $this->_field) : null);
     $query->setBoost($this->_boost);
     return $query;
 }
开发者ID:VUW-SIM-FIS,项目名称:emiemi,代码行数:18,代码来源:Term.php



注:本文中的Zend_Search_Lucene_Search_Query_Preprocessing_Fuzzy类示例整理自Github/MSDocs等源码及文档管理平台,相关代码片段筛选自各路编程大神贡献的开源项目,源码版权归原作者所有,传播和使用请参考对应项目的License;未经允许,请勿转载。


鲜花

握手

雷人

路过

鸡蛋
该文章已有0人参与评论

请发表评论

全部评论

专题导读
热门推荐
阅读排行榜

扫描微信二维码

查看手机版网站

随时了解更新最新资讯

139-2527-9053

在线客服(服务时间 9:00~18:00)

在线QQ客服
地址:深圳市南山区西丽大学城创智工业园
电邮:jeky_zhao#qq.com
移动电话:139-2527-9053

Powered by 互联科技 X3.4© 2001-2213 极客世界.|Sitemap