Solr调研总结（很详细很全面）

<fieldType name="string" class="solr.StrField" sortMissingLast="true"/>

<fieldType name="boolean" class="solr.BoolField" sortMissingLast="true"/>

<fieldType name="int" class="solr.TrieIntField" precisionStep="0" positionIncrementGap="0"/>

<fieldType name="text_general" class="solr.TextField" positionIncrementGap="100">

<analyzer type="index">

  <tokenizer class="solr.StandardTokenizerFactory"/>

  <filter class="solr.StopFilterFactory" ignoreCase="true" words="stopwords.txt" enablePositionIncrements="true" />

  <filter class="solr.LowerCaseFilterFactory"/>

</analyzer>

<analyzer type="query">

  <tokenizer class="solr.StandardTokenizerFactory"/>

  <filter class="solr.StopFilterFactory" ignoreCase="true" words="stopwords.txt" enablePositionIncrements="true" />

  <filter class="solr.SynonymFilterFactory" synonyms="synonyms.txt" ignoreCase="true" expand="true"/>

  <filter class="solr.LowerCaseFilterFactory"/>

</analyzer>

</fieldType>

<field name="id" type="string" indexed="true" stored="true" required="true" multiValued="false"/>

<field name="path" type="text_smartcn" indexed="false" stored="true" multiValued="false" termVector="true" />

<field name="content" type="text_smartcn" indexed="false" stored="true" multiValued="false" termVector="true"/>

<field name ="text" type ="text_ik" indexed ="true" stored ="false" multiValued ="true"/>

<field name ="pinyin" type ="text_pinyin" indexed ="true" stored ="false" multiValued ="false"/>

<field name="_version_" type="long" indexed="true" stored="true"/>

<dynamicField name="*_i" type="int" indexed="true" stored="true"/>

<dynamicField name="*_l" type="long" indexed="true" stored="true"/>

<dynamicField name="*_s" type="string" indexed="true" stored="true" />

<copyField source="content" dest="pinyin"/>

<copyField source="content" dest="text"/>

<copyField source="pinyin" dest="text"/>

<lib dir="../../../contrib/analysis-extras/lib" regex=".*\.jar" />

<fieldType name="text_smartcn" class="solr.TextField" positionIncrementGap="0">

      <analyzer type="index">

        <tokenizer class="org.apache.lucene.analysis.cn.smart.SmartChineseSentenceTokenizerFactory"/>

        <filter class="org.apache.lucene.analysis.cn.smart.SmartChineseWordTokenFilterFactory"/>

      </analyzer>

      <analyzer type="query">

         <tokenizer class="org.apache.lucene.analysis.cn.smart.SmartChineseSentenceTokenizerFactory"/>

        <filter class="org.apache.lucene.analysis.cn.smart.SmartChineseWordTokenFilterFactory"/>

      </analyzer>

</fieldType>

<field name ="text" type ="text_smartcn" indexed ="true" stored ="false" multiValued ="true"/>

<fieldType name="text_ik" class="solr.TextField">

         <analyzer class="org.wltea.analyzer.lucene.IKAnalyzer"/>

</fieldType>

<field name ="text" type ="text_ik" indexed ="true" stored ="false" multiValued ="true"/>

System.setProperty("solr.solr.home", "E:\\Work\\solr-4.2.0-src\\solr\\example\\solr");

CoreContainer.Initializer initializer = new CoreContainer.Initializer();

CoreContainer  coreContainer = initializer.initialize();

SolrServer  server = new EmbeddedSolrServer(coreContainer, "");

SolrInputDocument doc = new SolrInputDocument();

doc.setField("id", "ABC");

doc.setField("content", "中华人民共和国");

server.add(doc);

server.commit();//这句一般不用加因为我们可以通过在配置文件中的

                             //autoCommit来提高性能

server.deleteById(id);

//或是使用批量删除

server.deleteById(ids);

server.deleteByQuery("*.*");//这样就删除了所有文档索引

//”*.*”就查询所有内容的,介绍查询时会详细说明.

  server.optimize();//不要频繁的调用..尽量在无人使用时调用.

 http://localhost:8983/solr/ collection1/select?q=*%3A*&wt=xml&indent=true

<?xml version="1.0" encoding="UTF-8"?>

<response>

<lst name="responseHeader">

  <int name="status">0</int>

  <int name="QTime">0</int>

  <lst name="params">

    <str name="indent">true</str>

    <str name="q">*:*</str>

    <str name="wt">xml</str>

  </lst>

</lst>

<result name="response" numFound="17971" start="0">

  <doc>

    <str name="path">E:\Reduced\军事\1539.txt</str>

    <str name="category_s">2</str>

    <int name="browseCount_i">-1423701734</int>

    <long name="modified_l">1162438568000</long>

    <long name="releasedate_l">1162438568000</long>

    <str name="content"> [俄罗斯lenta网站2006年2月9日报道]俄空军副总司令比热耶夫中将称，2006年春天独联体国家防空系统打击范围向西推进150千米，侦察范围 向西推进400千米。　　2006年3月白俄罗斯4个S-300PS防空导弹营担负战斗任务，使独联体防空系统作战范围得以向西推进。比热耶夫中将还宣 布，近期乌兹别克斯坦可能加入独联体防空系统。　　独联体国家防空系统建于9年前，共有9个国家参加该组织。目前只有亚美尼亚、白俄罗斯、哈萨克斯坦、吉 尔吉斯、俄罗斯和塔吉克斯坦支持该体系。　　乌克兰、乌兹别克斯坦与俄罗斯在双边基础上合作，格鲁吉亚和土库曼最近7年不参加独联体国家对空防 御。</str>

    <str name="id">E3798D82-EAB6-2BEA-D7E2-79FBD102E845</str>

    <long name="_version_">1436361868021071872</long></doc>

  …

</result>

</response>

 

SolrQuery query = new SolrQuery();

query.set("q","*.*");

QueryResponse rsp =server.query(query)

SolrDocumentList list = rsp.getResults();

for (int i = 0; i < list.size(); i++) {

   SolrDocument sd = list.get(i);

   String id = (String) sd.getFieldValue("id");

   System.out.println(id);

}

<?xml version="1.0" encoding="UTF-8"?>

<response>

<lst name="responseHeader">

  <int name="status">0</int>

  <int name="QTime">2</int>

  <lst name="params">

    <str name="fl">content path</str>

    <str name="indent">true</str>

    <str name="start">0</str>

    <str name="q">中国</str>

    <str name="hl.simple.pre"><em></str>

    <str name="hl.simple.post"></em></str>

    <str name="hl.fl">content</str>

    <str name="wt">xml</str>

    <str name="hl">true</str>

    <str name="rows">1</str>

  </lst>

</lst>

<result name="response" numFound="6799" start="0">

  <doc>

    <str name="path">E:\Reduced\IT\630.txt</str>

    <str name="content">　　本报讯 中国银联股份有限公司和中国电信集团日前在北京签署全面战略合作协议。这标志着中国银联和中国电信将在通信服务、信息增值服务、新型支付产品合作开发等领域建立全面合作伙伴关系。　　据悉，双方签署的全面战略合作协议主要内容是：中国银联将选择中国电信作为通信信息服务的主要提供商，双方围绕提高中国银联内部通信的水平和销售网络的服务水平开展全面、深入的合作；中国电信选择中国银联作为银行卡转接支付服务的主要提供商，并围绕开发、推广新型支付终端产品和增值服务开展全面合作。（辛华）</str></doc>

</result>

<lst name="highlighting">

  <lst name="7D919C61-03B3-4B6F-2D10-9E3CC92D2852">

    <arr name="content">

      <str>　　本报讯 <em>中国</em>银联股份有限公司和<em>中国</em>电信集团日前在北京签署全面战略合作协议。这标志着<em>中国</em>银联和<em>中国</em>电信将在通信服务、信息增值服务、新型支付产品合作开发等领域建立全面合作伙伴关系。　　据悉，双方签署</str>

    </arr>

  </lst>

</lst>

</response>

SolrQuery query = new SolrQuery();

query.set("q","*.*");

query.setHighlight(true); // 开启高亮组件

query.addHighlightField("content");// 高亮字段

query.setHighlightSimplePre(PRE_TAG);// 标记

query.setHighlightSimplePost(POST_TAG);

QueryResponse rsp =server.query(query)

//…上面取结果的代码

//取出高亮结果

if (rsp.getHighlighting() != null) {

  if (rsp.getHighlighting().get(id) != null) {//先通过结果中的ID到高亮集合中取出文档高亮信息

    Map<String, List<String>> map = rsp.getHighlighting().get(id);//取出高亮片段

    if (map.get(name) != null) {

      for (String s : map.get(name)) {

        System.out.println(s);

      }

    }

}

<searchComponent name="spellcheck" class="solr.SpellCheckComponent">

     <str name="queryAnalyzerFieldType">text_spell</str> 

     <lst name="spellchecker"> 

       <str name="name">direct</str> 

       <str name="field">spell</str> 

       <str name="classname">solr.DirectSolrSpellChecker</str> 

       <str name="distanceMeasure">internal</str> 

       <float name="accuracy">0.5</float> 

       <int name="maxEdits">2</int> 

       <int name="minPrefix">1</int> 

       <int name="maxInspections">5</int> 

       <int name="minQueryLength">2</int> 

       <float name="maxQueryFrequency">0.01</float> 

</lst> 

  </searchComponent> 

  <requestHandler name="/spell" class="solr.SearchHandler" startup="lazy"> 

     <lst name="defaults"> 

         <str name="spellcheck.dictionary">direct</str> 

          <str name="spellcheck">on</str>  

          <str name="spellcheck.collate">true</str> 

         <str name="spellcheck.collateExtendedResults">true</str>   

     </lst> 

     <arr name="last-components"> 

       <str>spellcheck</str> 

     </arr> 

   </requestHandler>

<?xml version="1.0" encoding="UTF-8"?>  

  <response>  

    <lst name="responseHeader">  

      <int name="status">0</int>  

      <int name="QTime">0</int>  

    </lst>  

    <result name="response" numFound="0" start="0"/>  

    <lst name="spellcheck">  

      <lst name="suggestions">  

        <lst name="beijink">  

          <int name="numFound">1</int>  

          <int name="startOffset">0</int>  

          <int name="endOffset">3</int>  

          <arr name="suggestion">  

            <str>beijing</str>  

          </arr>  

        </lst>  

      </lst>  

    </lst>  

  </response>

SolrQuery query = new SolrQuery();

query.set("q","*.*");

query.set("qt", "/spell");

QueryResponse rsp =server.query(query)

//…上面取结果的代码

SpellCheckResponse spellCheckResponse = rsp.getSpellCheckResponse();

if (spellCheckResponse != null) {

  String collation = spellCheckResponse.getCollatedResult();

}

<searchComponent  name="suggest" class="solr.SpellCheckComponent">

    <str name="queryAnalyzerFieldType">string</str>

    <lst name="spellchecker">

        <str name="name">suggest</str>

        <str name="classname">org.apache.solr.spelling.suggest.Suggester</str>

        <str name="lookupImpl">org.apache.solr.spelling.suggest.tst.TSTLookup</str>

        <str name="field">text</str>

        <float name="threshold">0.0001</float>

        <str name="spellcheckIndexDir">spellchecker</str>

        <str name="comparatorClass">freq</str>

        <str name="buildOnOptimize">true</str>

        <!--<str name="buildOnCommit">true</str>-->

    </lst>

</searchComponent>

<requestHandler  name="/suggest" class="solr.SearchHandler" startup="lazy">

    <lst name="defaults">

        <str name="spellcheck">true</str>

        <str name="spellcheck.dictionary">suggest</str>

        <str name="spellcheck.onlyMorePopular">true</str>

        <str name="spellcheck.extendedResults">false</str>

        <str name="spellcheck.count">10</str>

        <str name="spellcheck.collate">true</str>

    </lst>

    <arr name="components">

        <str>suggest</str>

    </arr>

 </requestHandler>

<?xml version="1.0" encoding="UTF-8"?>

<response>

<lst name="responseHeader">

  <int name="status">0</int>

  <int name="QTime">4</int>

</lst>

<lst name="spellcheck">

  <lst name="suggestions">

    <lst name="中国">

      <int name="numFound">4</int>

      <int name="startOffset">0</int>

      <int name="endOffset">2</int>

      <arr name="suggestion">

        <str>中国队</str>

        <str>中国证监会</str>

        <str>中国足协</str>

        <str>中国银行</str>

      </arr>

    </lst>

  </lst>

</lst>

</response>

SolrQuery query = new SolrQuery();

query.set("q", token);

query.set("qt", "/suggest");

query.set("spellcheck.count", "10");

QueryResponse response = server.query(query);

SpellCheckResponse spellCheckResponse = response.getSpellCheckResponse();

if (spellCheckResponse != null) {

   List<SpellCheckResponse.Suggestion> suggestionList = spellCheckResponse.getSuggestions();

   for (SpellCheckResponse.Suggestion suggestion : suggestionList) {

     List<String> suggestedWordList = suggestion.getAlternatives();

     for (int i = 0; i < suggestedWordList.size(); i++) {

       String word = suggestedWordList.get(i);

     }

   }

   return results;

}

<types>

         <fieldType name="string" class="solr.StrField" omitNorms="true"/>

         <fieldType name="tokened" class="solr.TextField" >

                   <analyzer>

                   ……

                   </analyzer>

         </fieldType>

</types>

<fields>

         <field name="cpu" type="string" indexed="true" stored="false"/>

         <field name="cpuCopy” type=" tokened" indexed="true" stored="true"/>

</fields>

<copyField source="cpu" dest="cpuCopy"/>

<requestHandler name="standard" class="solr.SearchHandler" default="true">

……

<arr name="components">

<str>自定义组件名</str>

<str>facet</str>

……

</arr>

</requestHandler>

<?xml version="1.0" encoding="UTF-8"?>

<response>

<lst name="responseHeader">

  <int name="status">0</int>

  <int name="QTime">1</int>

  <lst name="params">

    <str name="facet">true</str>

    <str name="indent">true</str>

    <str name="start">0</str>

    <str name="q">*:*</str>

<arr name="facet.field"> 

   <str>category_s</str> 

   <str>modified_l</str> 

</arr>

    <str name="wt">xml</str>

    <str name="rows">0</str>

  </lst>

</lst>

<result name="response" numFound="17971" start="0">

</result>

<lst name="facet_counts">

  <lst name="facet_queries"/>

  <lst name="facet_fields">

    <lst name="category_s">

      <int name="0">5991</int>

      <int name="1">5990</int>

      <int name="2">5990</int>

</lst>

    <lst name="modified_l">

      <int name="1162438554000">951</int>

      <int name="1162438556000">917</int>

      <int name="1162438548000">902</int>

      <int name="1162438546000">674</int>

    </lst>

  </lst>

  <lst name="facet_dates"/>

  <lst name="facet_ranges"/>

</lst>

</response>

 

f.字段名.参数名=参数值

f.cpu.facet.prefix=Intel

&facet=on

&facet.date=date

&facet.date.start=2009-1-1T0:0:0Z

&facet.date.end=2010-1-1T0:0:0Z

&facet.date.gap=%2B1MONTH

&facet.date.other=all

<lst name="facet_counts">

       <lst name="facet_queries"/>

       <lst name="facet_fields"/>

       <lst name="facet_dates">

              <int name="2009-01-01T00:00:00Z">5</int>

<int name="2009-02-01T00:00:00Z">7</int>

<int name="2009-03-01T00:00:00Z">4</int>

<int name="2009-04-01T00:00:00Z">3</int>

<int name="2009-05-01T00:00:00Z">7</int>

<int name="2009-06-01T00:00:00Z">3</int>

<int name="2009-07-01T00:00:00Z">6</int>

<int name="2009-08-01T00:00:00Z">7</int>

<int name="2009-09-01T00:00:00Z">2</int>

<int name="2009-10-01T00:00:00Z">4</int>

<int name="2009-11-01T00:00:00Z">1</int>

<int name="2009-12-01T00:00:00Z">5</int>

<str name="gap">+1MONTH</str>

<date name="end">2010-01-01T00:00:00Z</date>

<int name="before">180</int>

<int name="after">5</int>

<int name="between">54</int>

</lst>

</lst>

&facet=on

&facet.query=date:[2009-1-1T0:0:0Z TO 2009-2-1T0:0:0Z]

&facet.query=date:[2009-4-1T0:0:0Z TO 2009-5-1T0:0:0Z]

<lst name="facet_counts">

       <lst name="facet_queries">

              <int name="date:[2009-1-1T0:0:0Z TO 2009-2-1T0:0:0Z]">5</int>

<int name="date:[2009-4-1T0:0:0Z TO 2009-5-1T0:0:0Z]">3</int>

</lst>

       <lst name="facet_fields"/>

       <lst name="facet_dates"/>

</lst>

&facet=on

&facet.query=date:[2009-1-1T0:0:0Z TO 2009-2-1T0:0:0Z]

&facet.query=price:[* TO 5000]

<lst name="facet_counts">

       <lst name="facet_queries">

              <int name="date:[2009-1-1T0:0:0Z TO 2009-2-1T0:0:0Z]">5</int>

<int name="price:[* TO 5000]">116</int>

</lst>

       <lst name="facet_fields"/>

       <lst name="facet_dates"/>

</lst>

&facet=on

&facet.query=cpu:[A TO G]

<lst name="facet_counts">

       <lst name="facet_queries">

              <int name="cpu:[A TO G]">11</int>

</lst>

       <lst name="facet_fields"/>

       <lst name="facet_dates"/>

</lst>

&facet=on

&facet.field={!key=中央处理器}cpu

&facet.field={!key=显卡}videoCard

<lst name="facet_counts">

       <lst name="facet_queries"/>

       <lst name="facet_fields">

              <lst name="中央处理器">

                     <int name="Intel 酷睿2双核 T6600">48</int>

                     <int name="Intel 奔腾双核 T4300">28</int>

<int name="Intel 酷睿2双核 P8700">18</int>

<int name="Intel 酷睿2双核 T6570">11</int>

<int name="Intel 酷睿2双核 T6670">11</int>

<int name="Intel 奔腾双核 T4400">9</int>

<int name="Intel 酷睿2双核 P7450">9</int>

<int name="Intel 酷睿2双核 T5870">8</int>

<int name="Intel 赛扬双核 T3000">7</int>

<int name="Intel 奔腾双核 SU4100">6</int>

<int name="Intel 酷睿2双核 P8400">6</int>

<int name="Intel 酷睿2双核 SU7300">5</int>

<int name="Intel 酷睿 i3 330M">4</int>

              </lst>

              <lst name="显卡">

                     <int name="ATI Mobility Radeon HD 4">63</int>

                     <int name="NVIDIA GeForce G 105M">24</int>

<int name="NVIDIA GeForce GT 240M">21</int>

<int name="NVIDIA GeForce G 103M">8</int>

<int name="NVIDIA GeForce GT 220M">8</int>

<int name="NVIDIA GeForce 9400M G">7</int>

<int name="NVIDIA GeForce G 210M">6</int>

</lst>

       </lst>

       <lst name="facet_dates"/>

</lst>

&fq=screenSize:14

&facet=on

&facet.field=screenSize

<lst name="facet_counts">

       <lst name="facet_queries"/>

       <lst name="facet_fields">

              <lst name=" screenSize">

                     <int name="14.0">107</int>

<int name="10.2">0</int>

<int name="11.1">0</int>

<int name="11.6">0</int>

<int name="12.1">0</int>

<int name="13.1">0</int>

<int name="13.3">0</int>

<int name="14.1">0</int>

<int name="15.4">0</int>

<int name="15.5">0</int>

<int name="15.6">0</int>

<int name="16.0">0</int>

<int name="17.0">0</int>

<int name="17.3">0</int>

</lst>

       </lst>

       <lst name="facet_dates"/>

</lst>

&fq={!tag=aa}screenSize:14

&facet=on

&facet.field={!ex=aa}screenSize

<lst name="facet_counts">

       <lst name="facet_queries"/>

       <lst name="facet_fields">

              <lst name=" screenSize">

                     <int name="14.0">107</int>

<int name="14.1">40</int>

<int name="13.3">34</int>

<int name="15.6">22</int>

<int name="15.4">8</int>

<int name="11.6">6</int>

<int name="12.1">5</int>

<int name="16.0">5</int>

<int name="15.5">3</int>

<int name="17.0">3</int>

<int name="17.3">3</int>

<int name="10.2">1</int>

<int name="11.1">1</int>

<int name="13.1">1</int>

</lst>

       </lst>

       <lst name="facet_dates"/>

</lst>

//初始化查询对象

String q = “*.*”;

SolrQuery query = new SolrQuery(q);

query.setIncludeScore(false);//是否按每组数量高低排序

query.setFacet(true);//是否分组查询

query.setRows(0);//设置返回结果条数，如果你时分组查询，你就设置为0

query.addFacetField(“modified_l”);//增加分组字段   q

query.addFacetQuery (“category_s[0 TO 1]”);

QueryResponse rsp = server.query(query);

…

//取出结果

List<FacetField.Count> list = rsp.getFacetField(“modified_l”).getValues();

Map<String, Integer> list = rsp.getFacetQuery();

<searchComponent name="clustering"

                   enable="${solr.clustering.enabled:true}"

                   class="solr.clustering.ClusteringComponent" >

<lst name="engine">

<str name="name">default</str>

<str name="carrot.algorithm">org.carrot2.clustering.

lingo.LingoClusteringAlgorithm</str>

<str name="LingoClusteringAlgorithm.desiredClusterCountBase">20</str>

</lst>

</searchComponent>

<requestHandler name="/clustering"  startup="lazy" enable="${solr.clustering.enabled:true}" class="solr.SearchHandler">

   <lst name="defaults">

    <str name="echoParams">explicit</str>

    <bool name="clustering">true</bool>

    <str name="clustering.engine">default</str>

    <bool name="clustering.results">true</bool>

    <str name="carrot.title">category_s</str>

    <str name="carrot.snippet">content</str>  </lst>

  <arr name="last-components">   

    <str>clustering</str>  </arr>

</requestHandler>

<requestHandler name="/mlt" class="solr.MoreLikeThisHandler">  
</requestHandler>

<field name="content" type="text_smartcn" indexed="false" stored="true" multiValued="false" termVector="true"/>

SolrQuery  query = new SolrQuery();

query.set("qt", "/mlt");

query.set("mlt.fl","content");

query.set("fl", "id,");

query.set("q", "id: 6F398CCD-2DE0-D3B1-9DD6-D4E532FFC531");

query.setStart(0);

query.setRows(5);

QueryResponse  rsp = server.query(query);

SolrDocumentList list = rsp.getResults();

<fieldType name="text_pinyin" class="solr.TextField" positionIncrementGap="0">

  <analyzer type="index">

      <tokenizer class="org.apache.lucene.analysis.cn.smart.SmartChineseSentenceTokenizerFactory"/>

          <filter class="org.apache.lucene.analysis.cn.smart.SmartChineseWordTokenFilterFactory"/>

     <filter class="com.shentong.search.analyzers.PinyinTransformTokenFilterFactory" minTermLenght="2" />

<filter class="com.shentong.search.analyzers.PinyinNGramTokenFilterFactory" minGram="1" maxGram="20" />

      </analyzer>

  <analyzer type="query">

      <tokenizer class="org.apache.lucene.analysis.cn.smart.SmartChineseSentenceTokenizerFactory"/>

         <filter class="org.apache.lucene.analysis.cn.smart.SmartChineseWordTokenFilterFactory"/>

     <filter class="com.shentong.search.analyzers.PinyinTransformTokenFilterFactory" minTermLenght="2" />

         <filter class="com.shentong.search.analyzers.PinyinNGramTokenFilterFactory" minGram="1" maxGram="20" />

      </analyzer>

    </fieldType>

<field name ="pinyin" type ="text_pinyin" indexed ="true" stored ="false" multiValued ="false"/>

<copyField source="content" dest="pinyin"/>

<copyField source="text" dest="spell"/>

<?xml version="1.0" encoding="UTF-8" ?>

<schema name="example" version="1.5">

  <fields>

 

    <field name="id" type="string" indexed="true" stored="true" required="true" multiValued="false"/>

    <field name="path" type="text_ik" indexed="false" stored="true" multiValued="false"  termVector="true" />

    <field name="content" type="text_ik" indexed="false" stored="true" multiValued="false" termVector="true"/>

    <field name ="text" type ="text_ik" indexed ="true" stored ="false" multiValued ="true"/>

         <field name ="pinyin" type ="text_pinyin" indexed ="true" stored ="false" multiValued ="false"/>

         <field name ="py" type ="text_py" indexed ="true" stored ="false" multiValued ="false"/>

         <field name="spell" type="text_spell" indexed="true" stored="false" multiValued="false" termVector="true"/>

         <field name="_version_" type="long" indexed="true" stored="true"/>

    <dynamicField name="*_i" type="int" indexed="true" stored="true"/>

    <dynamicField name="*_is" type="int" indexed="true" stored="true" multiValued="true"/>

         <dynamicField name="*_s" type="string" indexed="true" stored="true" />

    <dynamicField name="*_ss" type="string" indexed="true" stored="true" multiValued="true"/>

    <dynamicField name="*_l" type="long" indexed="true" stored="true"/>

    <dynamicField name="*_ls" type="long" indexed="true" stored="true" multiValued="true"/>

    <dynamicField name="*_t" type="text_general" indexed="true" stored="true"/>

    <dynamicField name="*_txt" type="text_general" indexed="true" stored="true" multiValued="true"/>

    <dynamicField name="*_en" type="text_en" indexed="true" stored="true" multiValued="true"/>

    <dynamicField name="*_b" type="boolean" indexed="true" stored="true"/>

    <dynamicField name="*_bs" type="boolean" indexed="true" stored="true" multiValued="true"/>

    <dynamicField name="*_f" type="float" indexed="true" stored="true"/>

    <dynamicField name="*_fs" type="float" indexed="true" stored="true" multiValued="true"/>

    <dynamicField name="*_d" type="double" indexed="true" stored="true"/>

    <dynamicField name="*_ds" type="double" indexed="true" stored="true" multiValued="true"/>

 

    <!-- Type used to index the lat and lon components for the "location" FieldType -->

    <dynamicField name="*_coordinate" type="tdouble" indexed="true" stored="false"/>

 

    <dynamicField name="*_dt" type="date" indexed="true" stored="true"/>

    <dynamicField name="*_dts" type="date" indexed="true" stored="true" multiValued="true"/>

    <dynamicField name="*_p" type="location" indexed="true" stored="true"/>

 

    <!-- some trie-coded dynamic fields for faster range queries -->

    <dynamicField name="*_ti" type="tint" indexed="true" stored="true"/>

    <dynamicField name="*_tl" type="tlong" indexed="true" stored="true"/>

    <dynamicField name="*_tf" type="tfloat" indexed="true" stored="true"/>

    <dynamicField name="*_td" type="tdouble" indexed="true" stored="true"/>

    <dynamicField name="*_tdt" type="tdate" indexed="true" stored="true"/>

 

    <dynamicField name="*_pi" type="pint" indexed="true" stored="true"/>

    <dynamicField name="*_c" type="currency" indexed="true" stored="true"/>

 

    <dynamicField name="ignored_*" type="ignored" multiValued="true"/>

    <dynamicField name="attr_*" type="text_general" indexed="true" stored="true" multiValued="true"/>

 

    <dynamicField name="random_*" type="random"/>

 

 

  </fields>

 

  <uniqueKey>id</uniqueKey>

 

 <copyField source="content" dest="spell"/>

 

 <copyField source="content" dest="pinyin"/>

 <copyField source="content" dest="py"/>

  <copyField source="path" dest="text"/>

  <copyField source="content" dest="text"/>

  <copyField source="pinyin" dest="text"/>

  <copyField source="py" dest="text"/>

 

 

 

 <defaultSearchField>text</defaultSearchField>

 

  <types>

 

    <fieldType name="string" class="solr.StrField" sortMissingLast="true"/>

    <fieldType name="boolean" class="solr.BoolField" sortMissingLast="true"/>

    <fieldType name="int" class="solr.TrieIntField" precisionStep="0" positionIncrementGap="0"/>

    <fieldType name="float" class="solr.TrieFloatField" precisionStep="0" positionIncrementGap="0"/>

    <fieldType name="long" class="solr.TrieLongField" precisionStep="0" positionIncrementGap="0"/>

    <fieldType name="double" class="solr.TrieDoubleField" precisionStep="0" positionIncrementGap="0"/>

 

 

    <fieldType name="tint" class="solr.TrieIntField" precisionStep="8" positionIncrementGap="0"/>

    <fieldType name="tfloat" class="solr.TrieFloatField" precisionStep="8" positionIncrementGap="0"/>

    <fieldType name="tlong" class="solr.TrieLongField" precisionStep="8" positionIncrementGap="0"/>

    <fieldType name="tdouble" class="solr.TrieDoubleField" precisionStep="8" positionIncrementGap="0"/>

 

 

    <fieldType name="date" class="solr.TrieDateField" precisionStep="0" positionIncrementGap="0"/>

 

    <fieldType name="tdate" class="solr.TrieDateField" precisionStep="6" positionIncrementGap="0"/>

 

    <fieldtype name="binary" class="solr.BinaryField"/>

 

 

    <fieldType name="pint" class="solr.IntField"/>

    <fieldType name="plong" class="solr.LongField"/>

    <fieldType name="pfloat" class="solr.FloatField"/>

    <fieldType name="pdouble" class="solr.DoubleField"/>

    <fieldType name="pdate" class="solr.DateField" sortMissingLast="true"/>

 

 

    <fieldType name="random" class="solr.RandomSortField" indexed="true"/>

 

 

    <fieldType name="text_ws" class="solr.TextField" positionIncrementGap="100">

      <analyzer>

        <tokenizer class="solr.WhitespaceTokenizerFactory"/>

      </analyzer>

    </fieldType>

    

          <fieldType name="text_general" class="solr.TextField" positionIncrementGap="100">

      <analyzer type="index">

        <tokenizer class="solr.StandardTokenizerFactory"/>

        <filter class="solr.StopFilterFactory" ignoreCase="true" words="stopwords.txt" enablePositionIncrements="true" />

        <filter class="solr.LowerCaseFilterFactory"/>

      </analyzer>

      <analyzer type="query">

        <tokenizer class="solr.StandardTokenizerFactory"/>

        <filter class="solr.StopFilterFactory" ignoreCase="true" words="stopwords.txt" enablePositionIncrements="true" />

        <filter class="solr.SynonymFilterFactory" synonyms="synonyms.txt" ignoreCase="true" expand="true"/>

        <filter class="solr.LowerCaseFilterFactory"/>

      </analyzer>

    </fieldType>

          

 

 

 

 

        

         <fieldType name="text_spell" class="solr.TextField" >

              <analyzer class="org.wltea.analyzer.lucene.IKAnalyzer"/>

    </fieldType>

        

         <fieldType name="text_ik" class="solr.TextField">

                   <analyzer class="org.wltea.analyzer.lucene.IKAnalyzer"/>

         </fieldType>

 

    <fieldType name="text_smartcn" class="solr.TextField" positionIncrementGap="0">

      <analyzer type="index">

        <tokenizer class="org.apache.lucene.analysis.cn.smart.SmartChineseSentenceTokenizerFactory"/>

        <filter class="org.apache.lucene.analysis.cn.smart.SmartChineseWordTokenFilterFactory"/>

      </analyzer>

      <analyzer type="query">

         <tokenizer class="org.apache.lucene.analysis.cn.smart.SmartChineseSentenceTokenizerFactory"/>

        <filter class="org.apache.lucene.analysis.cn.smart.SmartChineseWordTokenFilterFactory"/>

      </analyzer>

    </fieldType>

 

         <fieldType name="text_pinyin" class="solr.TextField" positionIncrementGap="0">

      <analyzer type="index">

      <tokenizer class="org.apache.lucene.analysis.cn.smart.SmartChineseSentenceTokenizerFactory"/>

              <filter class="org.apache.lucene.analysis.cn.smart.SmartChineseWordTokenFilterFactory"/>

     <filter class="com.shentong.search.analyzers.PinyinTransformTokenFilterFactory" minTermLenght="2" />

                     <filter class="com.shentong.search.analyzers.PinyinNGramTokenFilterFactory" minGram="1" maxGram="20" />

      </analyzer>

      <analyzer type="query">

           <tokenizer class="org.apache.lucene.analysis.cn.smart.SmartChineseSentenceTokenizerFactory"/>

                         <filter class="org.apache.lucene.analysis.cn.smart.SmartChineseWordTokenFilterFactory"/>

        <filter class="com.shentong.search.analyzers.PinyinTransformTokenFilterFactory" minTermLenght="2" />

                     <filter class="com.shentong.search.analyzers.PinyinNGramTokenFilterFactory" minGram="1" maxGram="20" />

      </analyzer>

    </fieldType>

        

         <fieldType name="text_py" class="solr.TextField" positionIncrementGap="0">

      <analyzer type="index">

        <tokenizer class="org.apache.lucene.analysis.cn.smart.SmartChineseSentenceTokenizerFactory"/>

                      <filter class="org.apache.lucene.analysis.cn.smart.SmartChineseWordTokenFilterFactory"/>

          <filter class="com.shentong.search.analyzers.PinyinTransformTokenFilterFactory" isFirstChar="true" minTermLenght="2" />

                    

      </analyzer>

      <analyzer type="query">

        <tokenizer class="org.apache.lucene.analysis.cn.smart.SmartChineseSentenceTokenizerFactory"/>

                      <filter class="org.apache.lucene.analysis.cn.smart.SmartChineseWordTokenFilterFactory"/>

       <filter class="com.shentong.search.analyzers.PinyinTransformTokenFilterFactory" isFirstChar="true" minTermLenght="2" />

      </analyzer>

    </fieldType>

        

    <fieldType name="text_en" class="solr.TextField" positionIncrementGap="100">

      <analyzer type="index">

        <tokenizer class="solr.StandardTokenizerFactory"/>

        <!-- in this example, we will only use synonyms at query time

        <filter class="solr.SynonymFilterFactory" synonyms="index_synonyms.txt" ignoreCase="true" expand="false"/>

        -->

        <!-- Case insensitive stop word removal.

          add enablePositionIncrements=true in both the index and query

          analyzers to leave a ‘gap‘ for more accurate phrase queries.

        -->

        <filter class="solr.StopFilterFactory"

                ignoreCase="true"

                words="lang/stopwords_en.txt"

                enablePositionIncrements="true"

            />

        <filter class="solr.LowerCaseFilterFactory"/>

        <filter class="solr.EnglishPossessiveFilterFactory"/>

        <filter class="solr.KeywordMarkerFilterFactory" protected="protwords.txt"/>

        <!-- Optionally you may want to use this less aggressive stemmer instead of PorterStemFilterFactory:

              <filter class="solr.EnglishMinimalStemFilterFactory"/>

        -->

        <filter class="solr.PorterStemFilterFactory"/>

      </analyzer>

      <analyzer type="query">

        <tokenizer class="solr.StandardTokenizerFactory"/>

        <filter class="solr.SynonymFilterFactory" synonyms="synonyms.txt" ignoreCase="true" expand="true"/>

        <filter class="solr.StopFilterFactory"

                ignoreCase="true"

                words="lang/stopwords_en.txt"

                enablePositionIncrements="true"

            />

        <filter class="solr.LowerCaseFilterFactory"/>

        <filter class="solr.EnglishPossessiveFilterFactory"/>

        <filter class="solr.KeywordMarkerFilterFactory" protected="protwords.txt"/>

        <!-- Optionally you may want to use this less aggressive stemmer instead of PorterStemFilterFactory:

              <filter class="solr.EnglishMinimalStemFilterFactory"/>

        -->

        <filter class="solr.PorterStemFilterFactory"/>

      </analyzer>

    </fieldType>

 

 

    <fieldType name="text_en_splitting" class="solr.TextField" positionIncrementGap="100"

               autoGeneratePhraseQueries="true">

      <analyzer type="index">

        <tokenizer class="solr.WhitespaceTokenizerFactory"/>

        <!-- in this example, we will only use synonyms at query time

        <filter class="solr.SynonymFilterFactory" synonyms="index_synonyms.txt" ignoreCase="true" expand="false"/>

        -->

        <!-- Case insensitive stop word removal.

          add enablePositionIncrements=true in both the index and query

          analyzers to leave a ‘gap‘ for more accurate phrase queries.

        -->

        <filter class="solr.StopFilterFactory"

                ignoreCase="true"

                words="lang/stopwords_en.txt"

                enablePositionIncrements="true"

            />

        <filter class="solr.WordDelimiterFilterFactory" generateWordParts="1" generateNumberParts="1" catenateWords="1"

                catenateNumbers="1" catenateAll="0" splitOnCaseChange="1"/>

        <filter class="solr.LowerCaseFilterFactory"/>

        <filter class="solr.KeywordMarkerFilterFactory" protected="protwords.txt"/>

        <filter class="solr.PorterStemFilterFactory"/>

      </analyzer>

      <analyzer type="query">

        <tokenizer class="solr.WhitespaceTokenizerFactory"/>

        <filter class="solr.SynonymFilterFactory" synonyms="synonyms.txt" ignoreCase="true" expand="true"/>

        <filter class="solr.StopFilterFactory"

                ignoreCase="true"

                words="lang/stopwords_en.txt"

                enablePositionIncrements="true"

            />

        <filter class="solr.WordDelimiterFilterFactory" generateWordParts="1" generateNumberParts="1" catenateWords="0"

                catenateNumbers="0" catenateAll="0" splitOnCaseChange="1"/>

        <filter class="solr.LowerCaseFilterFactory"/>

        <filter class="solr.KeywordMarkerFilterFactory" protected="protwords.txt"/>

        <filter class="solr.PorterStemFilterFactory"/>

      </analyzer>

    </fieldType>

 

    <fieldType name="text_en_splitting_tight" class="solr.TextField" positionIncrementGap="100"

               autoGeneratePhraseQueries="true">

      <analyzer>

        <tokenizer class="solr.WhitespaceTokenizerFactory"/>

        <filter class="solr.SynonymFilterFactory" synonyms="synonyms.txt" ignoreCase="true" expand="false"/>

        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_en.txt"/>

        <filter class="solr.WordDelimiterFilterFactory" generateWordParts="0" generateNumberParts="0" catenateWords="1"

                catenateNumbers="1" catenateAll="0"/>

        <filter class="solr.LowerCaseFilterFactory"/>

        <filter class="solr.KeywordMarkerFilterFactory" protected="protwords.txt"/>

        <filter class="solr.EnglishMinimalStemFilterFactory"/>

        <!-- this filter can remove any duplicate tokens that appear at the same position - sometimes

             possible with WordDelimiterFilter in conjuncton with stemming. -->

        <filter class="solr.RemoveDuplicatesTokenFilterFactory"/>

      </analyzer>

    </fieldType>

 

    <fieldType name="text_general_rev" class="solr.TextField" positionIncrementGap="100">

      <analyzer type="index">

        <tokenizer class="solr.StandardTokenizerFactory"/>

        <filter class="solr.StopFilterFactory" ignoreCase="true" words="stopwords.txt" enablePositionIncrements="true"/>

        <filter class="solr.LowerCaseFilterFactory"/>

        <filter class="solr.ReversedWildcardFilterFactory" withOriginal="true"

                maxPosAsterisk="3" maxPosQuestion="2" maxFractionAsterisk="0.33"/>

      </analyzer>

      <analyzer type="query">

        <tokenizer class="solr.StandardTokenizerFactory"/>

        <filter class="solr.SynonymFilterFactory" synonyms="synonyms.txt" ignoreCase="true" expand="true"/>

        <filter class="solr.StopFilterFactory" ignoreCase="true" words="stopwords.txt" enablePositionIncrements="true"/>

        <filter class="solr.LowerCaseFilterFactory"/>

      </analyzer>

    </fieldType>

 

 

    <fieldType name="alphaOnlySort" class="solr.TextField" sortMissingLast="true" omitNorms="true">

      <analyzer>

        <!-- KeywordTokenizer does no actual tokenizing, so the entire

             input string is preserved as a single token

          -->

        <tokenizer class="solr.KeywordTokenizerFactory"/>

        <!-- The LowerCase TokenFilter does what you expect, which can be

             when you want your sorting to be case insensitive

          -->

        <filter class="solr.LowerCaseFilterFactory"/>

        <!-- The TrimFilter removes any leading or trailing whitespace -->

        <filter class="solr.TrimFilterFactory"/>

        <!-- The PatternReplaceFilter gives you the flexibility to use

             Java Regular expression to replace any sequence of characters

             matching a pattern with an arbitrary replacement string,

             which may include back references to portions of the original

             string matched by the pattern.

            

             See the Java Regular Expression documentation for more

             information on pattern and replacement string syntax.

            

             http://java.sun.com/j2se/1.6.0/docs/api/java/util/regex/package-summary.html

          -->

        <filter class="solr.PatternReplaceFilterFactory"

                pattern="([^a-z])" replacement="" replace="all"

            />

      </analyzer>

    </fieldType>

 

    <fieldtype name="phonetic" stored="false" indexed="true" class="solr.TextField">

      <analyzer>

        <tokenizer class="solr.StandardTokenizerFactory"/>

        <filter class="solr.DoubleMetaphoneFilterFactory" inject="false"/>

      </analyzer>

    </fieldtype>

 

    <fieldtype name="payloads" stored="false" indexed="true" class="solr.TextField">

      <analyzer>

        <tokenizer class="solr.WhitespaceTokenizerFactory"/>

        <!--

        The DelimitedPayloadTokenFilter can put payloads on tokens... for example,

        a token of "foo|1.4"  would be indexed as "foo" with a payload of 1.4f

        Attributes of the DelimitedPayloadTokenFilterFactory :

         "delimiter" - a one character delimiter. Default is | (pipe)

          "encoder" - how to encode the following value into a playload

             float -> org.apache.lucene.analysis.payloads.FloatEncoder,

             integer -> o.a.l.a.p.IntegerEncoder

             identity -> o.a.l.a.p.IdentityEncoder

            Fully Qualified class name implementing PayloadEncoder, Encoder must have a no arg constructor.

         -->

        <filter class="solr.DelimitedPayloadTokenFilterFactory" encoder="float"/>

      </analyzer>

    </fieldtype>

 

    <fieldType name="lowercase" class="solr.TextField" positionIncrementGap="100">

      <analyzer>

        <tokenizer class="solr.KeywordTokenizerFactory"/>

        <filter class="solr.LowerCaseFilterFactory"/>

      </analyzer>

    </fieldType>

    <fieldType name="descendent_path" class="solr.TextField">

      <analyzer type="index">

        <tokenizer class="solr.PathHierarchyTokenizerFactory" delimiter="/"/>

      </analyzer>

      <analyzer type="query">

        <tokenizer class="solr.KeywordTokenizerFactory"/>

      </analyzer>

    </fieldType>

    <fieldType name="ancestor_path" class="solr.TextField">

      <analyzer type="index">

        <tokenizer class="solr.KeywordTokenizerFactory"/>

      </analyzer>

      <analyzer type="query">

        <tokenizer class="solr.PathHierarchyTokenizerFactory" delimiter="/"/>

      </analyzer>

    </fieldType>

    <fieldtype name="ignored" stored="false" indexed="false" multiValued="true" class="solr.StrField"/>

    <fieldType name="point" class="solr.PointType" dimension="2" subFieldSuffix="_d"/>

 

    <fieldType name="location" class="solr.LatLonType" subFieldSuffix="_coordinate"/>

    <fieldType name="location_rpt" class="solr.SpatialRecursivePrefixTreeFieldType"

               geo="true" distErrPct="0.025" maxDistErr="0.000009" units="degrees"/>

 

    <fieldType name="currency" class="solr.CurrencyField" precisionStep="8" defaultCurrency="USD"

               currencyConfig="currency.xml"/>

 

 

    <!-- some examples for different languages (generally ordered by ISO code) -->

 

    <!-- Arabic -->

    <fieldType name="text_ar" class="solr.TextField" positionIncrementGap="100">

      <analyzer>

        <tokenizer class="solr.StandardTokenizerFactory"/>

        <!-- for any non-arabic -->

        <filter class="solr.LowerCaseFilterFactory"/>

        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_ar.txt"

                enablePositionIncrements="true"/>

        <!-- normalizes ? to ?, etc -->

        <filter class="solr.ArabicNormalizationFilterFactory"/>

        <filter class="solr.ArabicStemFilterFactory"/>

      </analyzer>

    </fieldType>

 

    <!-- Bulgarian -->

    <fieldType name="text_bg" class="solr.TextField" positionIncrementGap="100">

      <analyzer>

        <tokenizer class="solr.StandardTokenizerFactory"/>

        <filter class="solr.LowerCaseFilterFactory"/>

        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_bg.txt"

                enablePositionIncrements="true"/>

        <filter class="solr.BulgarianStemFilterFactory"/>

      </analyzer>

    </fieldType>

 

    <!-- Catalan -->

    <fieldType name="text_ca" class="solr.TextField" positionIncrementGap="100">

      <analyzer>

        <tokenizer class="solr.StandardTokenizerFactory"/>

        <!-- removes l‘, etc -->

        <filter class="solr.ElisionFilterFactory" ignoreCase="true" articles="lang/contractions_ca.txt"/>

        <filter class="solr.LowerCaseFilterFactory"/>

        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_ca.txt"

                enablePositionIncrements="true"/>

        <filter class="solr.SnowballPorterFilterFactory" language="Catalan"/>

      </analyzer>

    </fieldType>

 

    <!-- CJK bigram (see text_ja for a Japanese configuration using morphological analysis) -->

    <fieldType name="text_cjk" class="solr.TextField" positionIncrementGap="100">

      <analyzer>

        <tokenizer class="solr.StandardTokenizerFactory"/>

        <!-- normalize width before bigram, as e.g. half-width dakuten combine  -->

        <filter class="solr.CJKWidthFilterFactory"/>

        <!-- for any non-CJK -->

        <filter class="solr.LowerCaseFilterFactory"/>

        <filter class="solr.CJKBigramFilterFactory"/>

      </analyzer>

    </fieldType>

 

    <!-- Czech -->

    <fieldType name="text_cz" class="solr.TextField" positionIncrementGap="100">

      <analyzer>

        <tokenizer class="solr.StandardTokenizerFactory"/>

        <filter class="solr.LowerCaseFilterFactory"/>

        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_cz.txt"

                enablePositionIncrements="true"/>

        <filter class="solr.CzechStemFilterFactory"/>

      </analyzer>

    </fieldType>

 

    <!-- Danish -->

    <fieldType name="text_da" class="solr.TextField" positionIncrementGap="100">

      <analyzer>

        <tokenizer class="solr.StandardTokenizerFactory"/>

        <filter class="solr.LowerCaseFilterFactory"/>

        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_da.txt" format="snowball"

                enablePositionIncrements="true"/>

        <filter class="solr.SnowballPorterFilterFactory" language="Danish"/>

      </analyzer>

    </fieldType>

 

    <!-- German -->

    <fieldType name="text_de" class="solr.TextField" positionIncrementGap="100">

      <analyzer>

        <tokenizer class="solr.StandardTokenizerFactory"/>

        <filter class="solr.LowerCaseFilterFactory"/>

        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_de.txt" format="snowball"

                enablePositionIncrements="true"/>

        <filter class="solr.GermanNormalizationFilterFactory"/>

        <filter class="solr.GermanLightStemFilterFactory"/>

        <!-- less aggressive: <filter class="solr.GermanMinimalStemFilterFactory"/> -->

        <!-- more aggressive: <filter class="solr.SnowballPorterFilterFactory" language="German2"/> -->

      </analyzer>

    </fieldType>

 

    <!-- Greek -->

    <fieldType name="text_el" class="solr.TextField" positionIncrementGap="100">

      <analyzer>

        <tokenizer class="solr.StandardTokenizerFactory"/>

        <!-- greek specific lowercase for sigma -->

        <filter class="solr.GreekLowerCaseFilterFactory"/>

        <filter class="solr.StopFilterFactory" ignoreCase="false" words="lang/stopwords_el.txt"

                enablePositionIncrements="true"/>

        <filter class="solr.GreekStemFilterFactory"/>

      </analyzer>

    </fieldType>

 

    <!-- Spanish -->

    <fieldType name="text_es" class="solr.TextField" positionIncrementGap="100">

      <analyzer>

        <tokenizer class="solr.StandardTokenizerFactory"/>

        <filter class="solr.LowerCaseFilterFactory"/>

        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_es.txt" format="snowball"

                enablePositionIncrements="true"/>

        <filter class="solr.SpanishLightStemFilterFactory"/>

        <!-- more aggressive: <filter class="solr.SnowballPorterFilterFactory" language="Spanish"/> -->

      </analyzer>

    </fieldType>

 

    <!-- Basque -->

    <fieldType name="text_eu" class="solr.TextField" positionIncrementGap="100">

      <analyzer>

        <tokenizer class="solr.StandardTokenizerFactory"/>

        <filter class="solr.LowerCaseFilterFactory"/>

        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_eu.txt"

                enablePositionIncrements="true"/>

        <filter class="solr.SnowballPorterFilterFactory" language="Basque"/>

      </analyzer>

    </fieldType>

 

    <!-- Persian -->

    <fieldType name="text_fa" class="solr.TextField" positionIncrementGap="100">

      <analyzer>

        <!-- for ZWNJ -->

        <charFilter class="solr.PersianCharFilterFactory"/>

        <tokenizer class="solr.StandardTokenizerFactory"/>

        <filter class="solr.LowerCaseFilterFactory"/>

        <filter class="solr.ArabicNormalizationFilterFactory"/>

        <filter class="solr.PersianNormalizationFilterFactory"/>

        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_fa.txt"

                enablePositionIncrements="true"/>

      </analyzer>

    </fieldType>

 

    <!-- Finnish -->

    <fieldType name="text_fi" class="solr.TextField" positionIncrementGap="100">

      <analyzer>

        <tokenizer class="solr.StandardTokenizerFactory"/>

        <filter class="solr.LowerCaseFilterFactory"/>

        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_fi.txt" format="snowball"

                enablePositionIncrements="true"/>

        <filter class="solr.SnowballPorterFilterFactory" language="Finnish"/>

        <!-- less aggressive: <filter class="solr.FinnishLightStemFilterFactory"/> -->

      </analyzer>

    </fieldType>

 

    <!-- French -->

    <fieldType name="text_fr" class="solr.TextField" positionIncrementGap="100">

      <analyzer>

        <tokenizer class="solr.StandardTokenizerFactory"/>

        <!-- removes l‘, etc -->

        <filter class="solr.ElisionFilterFactory" ignoreCase="true" articles="lang/contractions_fr.txt"/>

        <filter class="solr.LowerCaseFilterFactory"/>

        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_fr.txt" format="snowball"

                enablePositionIncrements="true"/>

        <filter class="solr.FrenchLightStemFilterFactory"/>

        <!-- less aggressive: <filter class="solr.FrenchMinimalStemFilterFactory"/> -->

        <!-- more aggressive: <filter class="solr.SnowballPorterFilterFactory" language="French"/> -->

      </analyzer>

    </fieldType>

 

    <!-- Irish -->

    <fieldType name="text_ga" class="solr.TextField" positionIncrementGap="100">

      <analyzer>

        <tokenizer class="solr.StandardTokenizerFactory"/>

        <!-- removes d‘, etc -->

        <filter class="solr.ElisionFilterFactory" ignoreCase="true" articles="lang/contractions_ga.txt"/>

        <!-- removes n-, etc. position increments is intentionally false! -->

        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/hyphenations_ga.txt"

                enablePositionIncrements="false"/>

        <filter class="solr.IrishLowerCaseFilterFactory"/>

        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_ga.txt"

                enablePositionIncrements="true"/>

        <filter class="solr.SnowballPorterFilterFactory" language="Irish"/>

      </analyzer>

    </fieldType>

 

    <!-- Galician -->

    <fieldType name="text_gl" class="solr.TextField" positionIncrementGap="100">

      <analyzer>

        <tokenizer class="solr.StandardTokenizerFactory"/>

        <filter class="solr.LowerCaseFilterFactory"/>

        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_gl.txt"

                enablePositionIncrements="true"/>

        <filter class="solr.GalicianStemFilterFactory"/>

        <!-- less aggressive: <filter class="solr.GalicianMinimalStemFilterFactory"/> -->

      </analyzer>

    </fieldType>

 

    <!-- Hindi -->

    <fieldType name="text_hi" class="solr.TextField" positionIncrementGap="100">

      <analyzer>

        <tokenizer class="solr.StandardTokenizerFactory"/>

        <filter class="solr.LowerCaseFilterFactory"/>

        <!-- normalizes unicode representation -->

        <filter class="solr.IndicNormalizationFilterFactory"/>

        <!-- normalizes variation in spelling -->

        <filter class="solr.HindiNormalizationFilterFactory"/>

        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_hi.txt"

                enablePositionIncrements="true"/>

        <filter class="solr.HindiStemFilterFactory"/>

      </analyzer>

    </fieldType>

 

    <!-- Hungarian -->

    <fieldType name="text_hu" class="solr.TextField" positionIncrementGap="100">

      <analyzer>

        <tokenizer class="solr.StandardTokenizerFactory"/>

        <filter class="solr.LowerCaseFilterFactory"/>

        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_hu.txt" format="snowball"

                enablePositionIncrements="true"/>

        <filter class="solr.SnowballPorterFilterFactory" language="Hungarian"/>

        <!-- less aggressive: <filter class="solr.HungarianLightStemFilterFactory"/> -->

      </analyzer>

    </fieldType>

 

    <!-- Armenian -->

    <fieldType name="text_hy" class="solr.TextField" positionIncrementGap="100">

      <analyzer>

        <tokenizer class="solr.StandardTokenizerFactory"/>

        <filter class="solr.LowerCaseFilterFactory"/>

        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_hy.txt"

                enablePositionIncrements="true"/>

        <filter class="solr.SnowballPorterFilterFactory" language="Armenian"/>

      </analyzer>

    </fieldType>

 

    <!-- Indonesian -->

    <fieldType name="text_id" class="solr.TextField" positionIncrementGap="100">

      <analyzer>

        <tokenizer class="solr.StandardTokenizerFactory"/>

        <filter class="solr.LowerCaseFilterFactory"/>

        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_id.txt"

                enablePositionIncrements="true"/>

        <!-- for a less aggressive approach (only inflectional suffixes), set stemDerivational to false -->

        <filter class="solr.IndonesianStemFilterFactory" stemDerivational="true"/>

      </analyzer>

    </fieldType>

 

    <!-- Italian -->

    <fieldType name="text_it" class="solr.TextField" positionIncrementGap="100">

      <analyzer>

        <tokenizer class="solr.StandardTokenizerFactory"/>

        <!-- removes l‘, etc -->

        <filter class="solr.ElisionFilterFactory" ignoreCase="true" articles="lang/contractions_it.txt"/>

        <filter class="solr.LowerCaseFilterFactory"/>

        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_it.txt" format="snowball"

                enablePositionIncrements="true"/>

        <filter class="solr.ItalianLightStemFilterFactory"/>

        <!-- more aggressive: <filter class="solr.SnowballPorterFilterFactory" language="Italian"/> -->

      </analyzer>

    </fieldType>

 

    <!-- Japanese using morphological analysis (see text_cjk for a configuration using bigramming)

 

         NOTE: If you want to optimize search for precision, use default operator AND in your query

         parser config with <solrQueryParser defaultOperator="AND"/> further down in this file.  Use

         OR if you would like to optimize for recall (default).

    -->

    <fieldType name="text_ja" class="solr.TextField" positionIncrementGap="100" autoGeneratePhraseQueries="false">

      <analyzer>

        <!-- Kuromoji Japanese morphological analyzer/tokenizer (JapaneseTokenizer)

 

             Kuromoji has a search mode (default) that does segmentation useful for search.  A heuristic

             is used to segment compounds into its parts and the compound itself is kept as synonym.

 

             Valid values for attribute mode are:

                normal: regular segmentation

                search: segmentation useful for search with synonyms compounds (default)

              extended: same as search mode, but unigrams unknown words (experimental)

 

             For some applications it might be good to use search mode for indexing and normal mode for

             queries to reduce recall and prevent parts of compounds from being matched and highlighted.

             Use <analyzer type="index"> and <analyzer type="query"> for this and mode normal in query.

 

             Kuromoji also has a convenient user dictionary feature that allows overriding the statistical

             model with your own entries for segmentation, part-of-speech tags and readings without a need

             to specify weights.  Notice that user dictionaries have not been subject to extensive testing.

 

             User dictionary attributes are:

                       userDictionary: user dictionary filename

               userDictionaryEncoding: user dictionary encoding (default is UTF-8)

 

             See lang/userdict_ja.txt for a sample user dictionary file.

 

             Punctuation characters are discarded by default.  Use discardPunctuation="false" to keep them.

 

             See http://wiki.apache.org/solr/JapaneseLanguageSupport for more on Japanese language support.

          -->

        <tokenizer class="solr.JapaneseTokenizerFactory" mode="search"/>

        <!--<tokenizer class="solr.JapaneseTokenizerFactory" mode="search" userDictionary="lang/userdict_ja.txt"/>-->

        <!-- Reduces inflected verbs and adjectives to their base/dictionary forms (辞書形) -->

        <filter class="solr.JapaneseBaseFormFilterFactory"/>

        <!-- Removes tokens with certain part-of-speech tags -->

        <filter class="solr.JapanesePartOfSpeechStopFilterFactory" tags="lang/stoptags_ja.txt"

                enablePositionIncrements="true"/>

        <!-- Normalizes full-width romaji to half-width and half-width kana to full-width (Unicode NFKC subset) -->

        <filter class="solr.CJKWidthFilterFactory"/>

        <!-- Removes common tokens typically not useful for search, but have a negative effect on ranking -->

        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_ja.txt"

                enablePositionIncrements="true"/>

        <!-- Normalizes common katakana spelling variations by removing any last long sound character (U+30FC) -->

        <filter class="solr.JapaneseKatakanaStemFilterFactory" minimumLength="4"/>

        <!-- Lower-cases romaji characters -->

        <filter class="solr.LowerCaseFilterFactory"/>

      </analyzer>

    </fieldType>

 

    <!-- Latvian -->

    <fieldType name="text_lv" class="solr.TextField" positionIncrementGap="100">

      <analyzer>

        <tokenizer class="solr.StandardTokenizerFactory"/>

        <filter class="solr.LowerCaseFilterFactory"/>

        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_lv.txt"

                enablePositionIncrements="true"/>

        <filter class="solr.LatvianStemFilterFactory"/>

      </analyzer>

    </fieldType>

 

    <!-- Dutch -->

    <fieldType name="text_nl" class="solr.TextField" positionIncrementGap="100">

      <analyzer>

        <tokenizer class="solr.StandardTokenizerFactory"/>

        <filter class="solr.LowerCaseFilterFactory"/>

        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_nl.txt" format="snowball"

                enablePositionIncrements="true"/>

        <filter class="solr.StemmerOverrideFilterFactory" dictionary="lang/stemdict_nl.txt" ignoreCase="false"/>

        <filter class="solr.SnowballPorterFilterFactory" language="Dutch"/>

      </analyzer>

    </fieldType>

 

    <!-- Norwegian -->

    <fieldType name="text_no" class="solr.TextField" positionIncrementGap="100">

      <analyzer>

        <tokenizer class="solr.StandardTokenizerFactory"/>

        <filter class="solr.LowerCaseFilterFactory"/>

        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_no.txt" format="snowball"

                enablePositionIncrements="true"/>

        <filter class="solr.SnowballPorterFilterFactory" language="Norwegian"/>

        <!-- less aggressive: <filter class="solr.NorwegianLightStemFilterFactory"/> -->

        <!-- singular/plural: <filter class="solr.NorwegianMinimalStemFilterFactory"/> -->

      </analyzer>

    </fieldType>

 

    <!-- Portuguese -->

    <fieldType name="text_pt" class="solr.TextField" positionIncrementGap="100">

      <analyzer>

        <tokenizer class="solr.StandardTokenizerFactory"/>

        <filter class="solr.LowerCaseFilterFactory"/>

        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_pt.txt" format="snowball"

                enablePositionIncrements="true"/>

        <filter class="solr.PortugueseLightStemFilterFactory"/>

        <!-- less aggressive: <filter class="solr.PortugueseMinimalStemFilterFactory"/> -->

        <!-- more aggressive: <filter class="solr.SnowballPorterFilterFactory" language="Portuguese"/> -->

        <!-- most aggressive: <filter class="solr.PortugueseStemFilterFactory"/> -->

      </analyzer>

    </fieldType>

 

    <!-- Romanian -->

    <fieldType name="text_ro" class="solr.TextField" positionIncrementGap="100">

      <analyzer>

        <tokenizer class="solr.StandardTokenizerFactory"/>

        <filter class="solr.LowerCaseFilterFactory"/>

        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_ro.txt"

                enablePositionIncrements="true"/>

        <filter class="solr.SnowballPorterFilterFactory" language="Romanian"/>

      </analyzer>

    </fieldType>

 

    <!-- Russian -->

    <fieldType name="text_ru" class="solr.TextField" positionIncrementGap="100">

      <analyzer>

        <tokenizer class="solr.StandardTokenizerFactory"/>

        <filter class="solr.LowerCaseFilterFactory"/>

        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_ru.txt" format="snowball"

                enablePositionIncrements="true"/>

        <filter class="solr.SnowballPorterFilterFactory" language="Russian"/>

        <!-- less aggressive: <filter class="solr.RussianLightStemFilterFactory"/> -->

      </analyzer>

    </fieldType>

 

    <!-- Swedish -->

    <fieldType name="text_sv" class="solr.TextField" positionIncrementGap="100">

      <analyzer>

        <tokenizer class="solr.StandardTokenizerFactory"/>

        <filter class="solr.LowerCaseFilterFactory"/>

        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_sv.txt" format="snowball"

                enablePositionIncrements="true"/>

        <filter class="solr.SnowballPorterFilterFactory" language="Swedish"/>

        <!-- less aggressive: <filter class="solr.SwedishLightStemFilterFactory"/> -->

      </analyzer>

    </fieldType>

 

    <!-- Thai -->

    <fieldType name="text_th" class="solr.TextField" positionIncrementGap="100">

      <analyzer>

        <tokenizer class="solr.StandardTokenizerFactory"/>

        <filter class="solr.LowerCaseFilterFactory"/>

        <filter class="solr.ThaiWordFilterFactory"/>

        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_th.txt"

                enablePositionIncrements="true"/>

      </analyzer>

    </fieldType>

 

    <!-- Turkish -->

    <fieldType name="text_tr" class="solr.TextField" positionIncrementGap="100">

      <analyzer>

        <tokenizer class="solr.StandardTokenizerFactory"/>

        <filter class="solr.TurkishLowerCaseFilterFactory"/>

        <filter class="solr.StopFilterFactory" ignoreCase="false" words="lang/stopwords_tr.txt"

                enablePositionIncrements="true"/>

        <filter class="solr.SnowballPorterFilterFactory" language="Turkish"/>

      </analyzer>

    </fieldType>

 

  </types>

 

 

</schema>

<?xml version="1.0" encoding="UTF-8" ?>

<config>

  <luceneMatchVersion>LUCENE_42</luceneMatchVersion>

         <lib dir="../../../lib" regex=".*\.jar" />

  <lib dir="../../../contrib/extraction/lib" regex=".*\.jar" />

  <lib dir="../../../dist/" regex="solr-cell-\d.*\.jar" />

  <lib dir="../../../contrib/clustering/lib/" regex=".*\.jar" />

  <lib dir="../../../dist/" regex="solr-clustering-\d.*\.jar" />

  <lib dir="../../../contrib/langid/lib/" regex=".*\.jar" />

  <lib dir="../../../dist/" regex="solr-langid-\d.*\.jar" />

  <lib dir="../../../contrib/velocity/lib" regex=".*\.jar" />

  <lib dir="../../../dist/" regex="solr-velocity-\d.*\.jar" />

  <lib dir="/total/crap/dir/ignored" />

  <dataDir>${solr.data.dir:}</dataDir>

  <directoryFactory name="DirectoryFactory"

                    class="${solr.directoryFactory:solr.NRTCachingDirectoryFactory}"/>

  <codecFactory class="solr.SchemaCodecFactory"/>

  <indexConfig>

    <!-- maxFieldLength was removed in 4.0. To get similar behavior, include a

         LimitTokenCountFilterFactory in your fieldType definition. E.g.

     <filter class="solr.LimitTokenCountFilterFactory" maxTokenCount="10000"/>

    -->

    <!-- Maximum time to wait for a write lock (ms) for an IndexWriter. Default: 1000 -->

    <!-- <writeLockTimeout>1000</writeLockTimeout>  -->

    <!-- The maximum number of simultaneous threads that may be

         indexing documents at once in IndexWriter; if more than this

         many threads arrive they will wait for others to finish.

         Default in Solr/Lucene is 8. -->

    <!-- <maxIndexingThreads>8</maxIndexingThreads>  -->

 

    <!-- Expert: Enabling compound file will use less files for the index,

         using fewer file descriptors on the expense of performance decrease.

         Default in Lucene is "true". Default in Solr is "false" (since 3.6) -->

    <!-- <useCompoundFile>false</useCompoundFile> -->

 

    <!-- ramBufferSizeMB sets the amount of RAM that may be used by Lucene

         indexing for buffering added documents and deletions before they are

         flushed to the Directory.

         maxBufferedDocs sets a limit on the number of documents buffered

         before flushing.

         If both ramBufferSizeMB and maxBufferedDocs is set, then

         Lucene will flush based on whichever limit is hit first.  -->

   <ramBufferSizeMB>100</ramBufferSizeMB>

    <maxBufferedDocs>1000</maxBufferedDocs>

 

    <!-- Expert: Merge Policy

         The Merge Policy in Lucene controls how merging of segments is done.

         The default since Solr/Lucene 3.3 is TieredMergePolicy.

         The default since Lucene 2.3 was the LogByteSizeMergePolicy,

         Even older versions of Lucene used LogDocMergePolicy.

       

    

        <mergePolicy class="org.apache.lucene.index.TieredMergePolicy">

          <int name="maxMergeAtOnce">100</int>

          <int name="segmentsPerTier">100</int>

        </mergePolicy>

      -->

    

    <!-- Merge Factor

         The merge factor controls how many segments will get merged at a time.

         For TieredMergePolicy, mergeFactor is a convenience parameter which

         will set both MaxMergeAtOnce and SegmentsPerTier at once.

         For LogByteSizeMergePolicy, mergeFactor decides how many new segments

         will be allowed before they are merged into one.

         Default is 10 for both merge policies.

 

     -->

    <mergeFactor>50</mergeFactor>

 

 

    <!-- Expert: Merge Scheduler

         The Merge Scheduler in Lucene controls how merges are

         performed.  The ConcurrentMergeScheduler (Lucene 2.3 default)

         can perform merges in the background using separate threads.

         The SerialMergeScheduler (Lucene 2.2 default) does not.

     -->

    <!--

       <mergeScheduler class="org.apache.lucene.index.ConcurrentMergeScheduler"/>

       -->

 

    <!-- LockFactory

 

         This option specifies which Lucene LockFactory implementation

         to use.

     

         single = SingleInstanceLockFactory - suggested for a

                  read-only index or when there is no possibility of

                  another process trying to modify the index.

         native = NativeFSLockFactory - uses OS native file locking.

                  Do not use when multiple solr webapps in the same

                  JVM are attempting to share a single index.

         simple = SimpleFSLockFactory  - uses a plain file for locking

 

         Defaults: ‘native‘ is default for Solr3.6 and later, otherwise

                   ‘simple‘ is the default

 

         More details on the nuances of each LockFactory...

         http://wiki.apache.org/lucene-java/AvailableLockFactories

    -->

    <lockType>${solr.lock.type:native}</lockType>

 

    <!-- Unlock On Startup

 

         If true, unlock any held write or commit locks on startup.

         This defeats the locking mechanism that allows multiple

         processes to safely access a lucene index, and should be used

         with care. Default is "false".

 

         This is not needed if lock type is ‘single‘

     -->

    <!--

    <unlockOnStartup>false</unlockOnStartup>

      -->

   

    <!-- Expert: Controls how often Lucene loads terms into memory

         Default is 128 and is likely good for most everyone.

      -->

    <!-- <termIndexInterval>128</termIndexInterval> -->

 

    <!-- If true, IndexReaders will be reopened (often more efficient)

         instead of closed and then opened. Default: true

      -->

    <!--

    <reopenReaders>true</reopenReaders>

      -->

 

    <!-- Commit Deletion Policy

         Custom deletion policies can be specified here. The class must

         implement org.apache.lucene.index.IndexDeletionPolicy.

 

         The default Solr IndexDeletionPolicy implementation supports

         deleting index commit points on number of commits, age of

         commit point and optimized status.

        

         The latest commit point should always be preserved regardless

         of the criteria.

    -->

    <!--

    <deletionPolicy class="solr.SolrDeletionPolicy">

    -->

      <!-- The number of commit points to be kept -->

      <!-- <str name="maxCommitsToKeep">1</str> -->

      <!-- The number of optimized commit points to be kept -->

      <!-- <str name="maxOptimizedCommitsToKeep">0</str> -->

      <!--

          Delete all commit points once they have reached the given age.

          Supports DateMathParser syntax e.g.

        -->

      <!--

         <str name="maxCommitAge">30MINUTES</str>

         <str name="maxCommitAge">1DAY</str>

      -->

    <!--

    </deletionPolicy>

    -->

 

    <!-- Lucene Infostream

      

         To aid in advanced debugging, Lucene provides an "InfoStream"

         of detailed information when indexing.

 

         Setting The value to true will instruct the underlying Lucene

         IndexWriter to write its debugging info the specified file

      -->

     <!-- <infoStream file="INFOSTREAM.txt">false</infoStream> -->

  </indexConfig>

 

  <jmx />

 

  <updateHandler class="solr.DirectUpdateHandler2">

 

    <updateLog>

      <str name="dir">${solr.ulog.dir:}</str>

    </updateLog>

 

  

     <autoCommit>

          <maxDocs>1000</maxDocs>

       <maxTime>15000</maxTime>

       <openSearcher>false</openSearcher>

     </autoCommit>

 

   

  </updateHandler>

 

 

  <query>

    <!-- Max Boolean Clauses

 

         Maximum number of clauses in each BooleanQuery,  an exception

         is thrown if exceeded.

 

         ** WARNING **

        

         This option actually modifies a global Lucene property that

         will affect all SolrCores.  If multiple solrconfig.xml files

         disagree on this property, the value at any given moment will

         be based on the last SolrCore to be initialized.

        

      -->

    <maxBooleanClauses>1024</maxBooleanClauses>

 

 

    <!-- Solr Internal Query Caches

 

         There are two implementations of cache available for Solr,

         LRUCache, based on a synchronized LinkedHashMap, and

         FastLRUCache, based on a ConcurrentHashMap. 

 

         FastLRUCache has faster gets and slower puts in single

         threaded operation and thus is generally faster than LRUCache

         when the hit ratio of the cache is high (> 75%), and may be

         faster under other scenarios on multi-cpu systems.

    -->

 

    <!-- Filter Cache

 

         Cache used by SolrIndexSearcher for filters (DocSets),

         unordered sets of *all* documents that match a query.  When a

         new searcher is opened, its caches may be prepopulated or

         "autowarmed" using data from caches in the old searcher.

         autowarmCount is the number of items to prepopulate.  For

         LRUCache, the autowarmed items will be the most recently

         accessed items.

 

         Parameters:

           class - the SolrCache implementation LRUCache or

               (LRUCache or FastLRUCache)

           size - the maximum number of entries in the cache

           initialSize - the initial capacity (number of entries) of

               the cache.  (see java.util.HashMap)

           autowarmCount - the number of entries to prepopulate from

               and old cache. 

      -->

    <filterCache class="solr.FastLRUCache"

                 size="512"

                 initialSize="512"

                 autowarmCount="0"/>

 

    <!-- Query Result Cache

        

         Caches results of searches - ordered lists of document ids

         (DocList) based on a query, a sort, and the range of documents requested. 

      -->

    <queryResultCache class="solr.LRUCache"

                     size="512"

                     initialSize="512"

                     autowarmCount="0"/>

  

    <!-- Document Cache

 

         Caches Lucene Document objects (the stored fields for each

         document).  Since Lucene internal document ids are transient,

         this cache will not be autowarmed. 

      -->

    <documentCache class="solr.LRUCache"

                   size="512"

                   initialSize="512"

                   autowarmCount="0"/>

   

    <!-- Field Value Cache

        

         Cache used to hold field values that are quickly accessible

         by document id.  The fieldValueCache is created by default

         even if not configured here.

      -->

    <!--

       <fieldValueCache class="solr.FastLRUCache"

                        size="512"

                        autowarmCount="128"

                        showItems="32" />

      -->

 

    <!-- Custom Cache

 

         Example of a generic cache.  These caches may be accessed by

         name through SolrIndexSearcher.getCache(),cacheLookup(), and

         cacheInsert().  The purpose is to enable easy caching of

         user/application level data.  The regenerator argument should

         be specified as an implementation of solr.CacheRegenerator

         if autowarming is desired. 

      -->

    <!--

       <cache name="myUserCache"

              class="solr.LRUCache"

              size="4096"

              initialSize="1024"

              autowarmCount="1024"

              regenerator="com.mycompany.MyRegenerator"

              />

      -->

 

 

    <!-- Lazy Field Loading

 

         If true, stored fields that are not requested will be loaded

         lazily.  This can result in a significant speed improvement

         if the usual case is to not load all stored fields,

         especially if the skipped fields are large compressed text

         fields.

    -->

    <enableLazyFieldLoading>true</enableLazyFieldLoading>

 

   <!-- Use Filter For Sorted Query

 

        A possible optimization that attempts to use a filter to

        satisfy a search.  If the requested sort does not include

        score, then the filterCache will be checked for a filter

        matching the query. If found, the filter will be used as the

        source of document ids, and then the sort will be applied to

        that.

 

        For most situations, this will not be useful unless you

        frequently get the same search repeatedly with different sort

        options, and none of them ever use "score"

     -->

   <!--

      <useFilterForSortedQuery>true</useFilterForSortedQuery>

     -->

 

   <!-- Result Window Size

 

        An optimization for use with the queryResultCache.  When a search

        is requested, a superset of the requested number of document ids

        are collected.  For example, if a search for a particular query

        requests matching documents 10 through 19, and queryWindowSize is 50,

        then documents 0 through 49 will be collected and cached.  Any further

        requests in that range can be satisfied via the cache. 

     -->

   <queryResultWindowSize>20</queryResultWindowSize>

 

   <!-- Maximum number of documents to cache for any entry in the

        queryResultCache.

     -->

   <queryResultMaxDocsCached>200</queryResultMaxDocsCached>

 

   <!-- Query Related Event Listeners

 

        Various IndexSearcher related events can trigger Listeners to

        take actions.

 

        newSearcher - fired whenever a new searcher is being prepared

        and there is a current searcher handling requests (aka

        registered).  It can be used to prime certain caches to

        prevent long request times for certain requests.

 

        firstSearcher - fired whenever a new searcher is being

        prepared but there is no current registered searcher to handle

        requests or to gain autowarming data from.

 

       

     -->

    <!-- QuerySenderListener takes an array of NamedList and executes a

         local query request for each NamedList in sequence.

      -->

    <listener event="newSearcher" class="solr.QuerySenderListener">

      <arr name="queries">

        <!--

           <lst><str name="q">solr</str><str name="sort">price asc</str></lst>

           <lst><str name="q">rocks</str><str name="sort">weight asc</str></lst>

          -->

      </arr>

    </listener>

    <listener event="firstSearcher" class="solr.QuerySenderListener">

      <arr name="queries">

        <lst>

          <str name="q">static firstSearcher warming in solrconfig.xml</str>

        </lst>

      </arr>

    </listener>

 

    <!-- Use Cold Searcher

 

         If a search request comes in and there is no current

         registered searcher, then immediately register the still

         warming searcher and use it.  If "false" then all requests

         will block until the first searcher is done warming.

      -->

    <useColdSearcher>false</useColdSearcher>

 

    <!-- Max Warming Searchers

        

         Maximum number of searchers that may be warming in the

         background concurrently.  An error is returned if this limit

         is exceeded.

 

         Recommend values of 1-2 for read-only slaves, higher for

         masters w/o cache warming.

      -->

    <maxWarmingSearchers>2</maxWarmingSearchers>

 

  </query>

 

  <requestDispatcher handleSelect="false" >

  

    <requestParsers enableRemoteStreaming="true"

                    multipartUploadLimitInKB="2048000"

                    formdataUploadLimitInKB="2048"/>

 

    <httpCaching never304="true" />

  

  </requestDispatcher>

 

  <requestHandler name="/select" class="solr.SearchHandler">

      <lst name="defaults">

       <str name="echoParams">explicit</str>

       <int name="rows">10</int>

       <str name="df">text</str>

     </lst>

 

    </requestHandler>

  <requestHandler name="/query" class="solr.SearchHandler">

     <lst name="defaults">

       <str name="echoParams">explicit</str>

       <str name="wt">json</str>

       <str name="indent">true</str>

       <str name="df">text</str>

     </lst>

  </requestHandler>

 

  <requestHandler name="/get" class="solr.RealTimeGetHandler">

     <lst name="defaults">

       <str name="omitHeader">true</str>

       <str name="wt">json</str>

       <str name="indent">true</str>

     </lst>

  </requestHandler>

 

  <requestHandler name="/browse" class="solr.SearchHandler">

     <lst name="defaults">

       <str name="echoParams">explicit</str>

 

       <!-- VelocityResponseWriter settings -->

       <str name="wt">velocity</str>

       <str name="v.template">browse</str>

       <str name="v.layout">layout</str>

       <str name="title">Solritas</str>

 

       <!-- Query settings -->

       <str name="defType">edismax</str>

       <str name="qf">

          text^0.5 features^1.0 name^1.2 sku^1.5 id^10.0 manu^1.1 cat^1.4

          title^10.0 description^5.0 keywords^5.0 author^2.0 resourcename^1.0

       </str>

       <str name="df">text</str>

       <str name="mm">100%</str>

       <str name="q.alt">*:*</str>

       <str name="rows">10</str>

       <str name="fl">*,score</str>

 

       <str name="mlt.qf">

         text^0.5 features^1.0 name^1.2 sku^1.5 id^10.0 manu^1.1 cat^1.4

         title^10.0 description^5.0 keywords^5.0 author^2.0 resourcename^1.0

       </str>

       <str name="mlt.fl">text,features,name,sku,id,manu,cat,title,description,keywords,author,resourcename</str>

       <int name="mlt.count">3</int>

 

       <!-- Faceting defaults -->

       <str name="facet">on</str>

       <str name="facet.field">cat</str>

       <str name="facet.field">manu_exact</str>

       <str name="facet.field">content_type</str>

       <str name="facet.field">author_s</str>

       <str name="facet.query">ipod</str>

       <str name="facet.query">GB</str>

       <str name="facet.mincount">1</str>

       <str name="facet.pivot">cat,inStock</str>

       <str name="facet.range.other">after</str>

       <str name="facet.range">price</str>

       <int name="f.price.facet.range.start">0</int>

       <int name="f.price.facet.range.end">600</int>

       <int name="f.price.facet.range.gap">50</int>

       <str name="facet.range">popularity</str>

       <int name="f.popularity.facet.range.start">0</int>

       <int name="f.popularity.facet.range.end">10</int>

       <int name="f.popularity.facet.range.gap">3</int>

       <str name="facet.range">manufacturedate_dt</str>

       <str name="f.manufacturedate_dt.facet.range.start">NOW/YEAR-10YEARS</str>

       <str name="f.manufacturedate_dt.facet.range.end">NOW</str>

       <str name="f.manufacturedate_dt.facet.range.gap">+1YEAR</str>

       <str name="f.manufacturedate_dt.facet.range.other">before</str>

       <str name="f.manufacturedate_dt.facet.range.other">after</str>

 

       <!-- Highlighting defaults -->

       <str name="hl">on</str>

       <str name="hl.fl">content features title name</str>

       <str name="hl.encoder">html</str>

       <str name="hl.simple.pre">&lt;b&gt;</str>

       <str name="hl.simple.post">&lt;/b&gt;</str>

       <str name="f.title.hl.fragsize">0</str>

       <str name="f.title.hl.alternateField">title</str>

       <str name="f.name.hl.fragsize">0</str>

       <str name="f.name.hl.alternateField">name</str>

       <str name="f.content.hl.snippets">3</str>

       <str name="f.content.hl.fragsize">200</str>

       <str name="f.content.hl.alternateField">content</str>

       <str name="f.content.hl.maxAlternateFieldLength">750</str>

 

       <!-- Spell checking defaults -->

       <str name="spellcheck">on</str>

       <str name="spellcheck.extendedResults">false</str>      

       <str name="spellcheck.count">5</str>

       <str name="spellcheck.alternativeTermCount">2</str>

       <str name="spellcheck.maxResultsForSuggest">5</str>      

       <str name="spellcheck.collate">true</str>

       <str name="spellcheck.collateExtendedResults">true</str> 

       <str name="spellcheck.maxCollationTries">5</str>

       <str name="spellcheck.maxCollations">3</str>          

     </lst>

 

     <!-- append spellchecking to our list of components -->

     <arr name="last-components">

       <str>spellcheck</str>

     </arr>

  </requestHandler>

 

 

  <requestHandler name="/update" class="solr.UpdateRequestHandler">

 

  </requestHandler>

 <requestHandler name="/update/json" class="solr.JsonUpdateRequestHandler">

        <lst name="defaults">

         <str name="stream.contentType">application/json</str>

       </lst>

  </requestHandler>

  <requestHandler name="/update/csv" class="solr.CSVRequestHandler">

        <lst name="defaults">

         <str name="stream.contentType">application/csv</str>

       </lst>

  </requestHandler>

 

  <requestHandler name="/update/extract"

                  startup="lazy"

                  class="solr.extraction.ExtractingRequestHandler" >

    <lst name="defaults">

      <str name="lowernames">true</str>

      <str name="uprefix">ignored_</str>

 

      <!-- capture link hrefs but ignore div attributes -->

      <str name="captureAttr">true</str>

      <str name="fmap.a">links</str>

      <str name="fmap.div">ignored_</str>

    </lst>

  </requestHandler>

 

  <requestHandler name="/analysis/field"

                  startup="lazy"

                  class="solr.FieldAnalysisRequestHandler" />

 

 

 

  <requestHandler name="/analysis/document"

                  class="solr.DocumentAnalysisRequestHandler"

                  startup="lazy" />

 

 

  <requestHandler name="/admin/"

                  class="solr.admin.AdminHandlers" />

 

  <requestHandler name="/admin/ping" class="solr.PingRequestHandler">

    <lst name="invariants">

      <str name="q">solrpingquery</str>

    </lst>

    <lst name="defaults">

      <str name="echoParams">all</str>

    </lst>

 

  </requestHandler>

 

  <!-- Echo the request contents back to the client -->

  <requestHandler name="/debug/dump" class="solr.DumpRequestHandler" >

    <lst name="defaults">

     <str name="echoParams">explicit</str>

     <str name="echoHandler">true</str>

    </lst>

  </requestHandler>

 

  <requestHandler name="/replication" class="solr.ReplicationHandler" >

 

  </requestHandler>

 

 <!-- spell -->

 <searchComponent name="spellcheck" class="solr.SpellCheckComponent">

     <lst name="spellchecker">

       <str name="name">direct</str>

       <str name="field">spell</str>

       <str name="classname">solr.DirectSolrSpellChecker</str>

       <str name="distanceMeasure">internal</str>

       <float name="accuracy">0.5</float>

       <int name="maxEdits">2</int>

       <int name="minPrefix">1</int>

       <int name="maxInspections">5</int>

       <int name="minQueryLength">2</int>

       <float name="maxQueryFrequency">0.001</float>

             <str name="buildOnCommit">true</str>

    </lst>

    

          <lst name="spellchecker">

      <!--

           Optional, it is required when more than one spellchecker is configured.

           Select non-default name with spellcheck.dictionary in request handler.

name是可选的，如果只有一个spellchecker可以不写name

如果有多个spellchecker，需要在Request Handler中指定spellcheck.dictionary

      -->

      <str name="name">default</str>

      <!-- The classname is optional, defaults to IndexBasedSpellChecker -->

      <str name="classname">solr.IndexBasedSpellChecker</str>

      <!--

               Load tokens from the following field for spell checking,

               analyzer for the field‘s type as defined in schema.xml are used

下面这个field名字指的是拼写检查的依据，也就是说要根据哪个Field来检查用户输入。

      -->

      <str name="field">spell</str>

      <!-- Optional, by default use in-memory index (RAMDirectory)

SpellCheck索引文件的存放位置，是可选的，如果不写默认使用内存模式RAMDirectory。

./spellchecker1指的是：corex\data\spellchecker1

-->

      <str name="spellcheckIndexDir">./spellchecker1</str>

      <!-- Set the accuracy (float) to be used for the suggestions. Default is 0.5 -->

      <str name="accuracy">0.7</str>

<!--何时创建拼写索引：buildOnCommit/buildOnOptimize -->

          <str name="buildOnCommit">true</str>

    </lst>

<!-- 另一个拼写检查器，使用JaroWinklerDistance距离算法 -->

         <lst name="spellchecker">

       <str name="name">jarowinkler</str>

       <str name="classname">solr.IndexBasedSpellChecker</str>

       <str name="field">spell</str>

       <str name="distanceMeasure">org.apache.lucene.search.spell.JaroWinklerDistance</str>

       <str name="spellcheckIndexDir">./spellchecker2</str>

       <str name="buildOnCommit">true</str>

    </lst>

<!-- 另一个拼写检查器，使用文件内容为检查依据

     <lst name="spellchecker">

       <str name="classname">solr.FileBasedSpellChecker</str>

       <str name="name">file</str>

       <str name="sourceLocation">spellings.txt</str>

       <str name="characterEncoding">UTF-8</str>

       <str name="spellcheckIndexDir">./spellcheckerFile</str>

       <str name="buildOnCommit">true</str>

     </lst>-->

 <str name="queryAnalyzerFieldType">text_spell</str>

</searchComponent>

<queryConverter name="queryConverter" class="solr.SpellingQueryConverter"/>

 

<requestHandler name="/spell" class="solr.SearchHandler">

  <lst name="defaults">

 

    <str name="spellcheck.dictionary">default</str>

         <str name="spellcheck.collate">true</str>

    <str name="spellcheck.onlyMorePopular">true</str>

    <str name="spellcheck.extendedResults">false</str>

    <str name="spellcheck.count">10</str>

  </lst>

  <arr name="last-components">

    <str>spellcheck</str>

  </arr>

</requestHandler>

 

 <searchComponent  name="suggest" class="solr.SpellCheckComponent">

    <str name="queryAnalyzerFieldType">string</str>

    <lst name="spellchecker">

        <str name="name">suggest</str>

        <str name="classname">org.apache.solr.spelling.suggest.Suggester</str>

        <str name="lookupImpl">org.apache.solr.spelling.suggest.tst.TSTLookup</str>

        <str name="field">text</str>

        <float name="threshold">0.0001</float>

        <str name="comparatorClass">freq</str>

        <str name="buildOnOptimize">true</str>

        <!--<str name="buildOnCommit">true</str>-->

    </lst>

</searchComponent>

        

<requestHandler  name="/suggest" class="solr.SearchHandler" startup="lazy">

    <lst name="defaults">

        <str name="spellcheck">true</str>

        <str name="spellcheck.dictionary">suggest</str>

        <str name="spellcheck.onlyMorePopular">true</str>

                   <str name="spellcheck.extendedResults">false</str>

        <str name="spellcheck.count">10</str>

        <!--<str name="spellcheck.collate">true</str>-->

    </lst>

    <arr name="components">

            <str>suggest</str>

    </arr>

 </requestHandler>

 

 

  

<requestHandler name="/mlt" class="solr.MoreLikeThisHandler">

</requestHandler>

 

  <searchComponent name="tvComponent" class="solr.TermVectorComponent"/>

 

  <requestHandler name="/tvrh" class="solr.SearchHandler" startup="lazy">

    <lst name="defaults">

      <str name="df">text</str>

      <bool name="tv">true</bool>

    </lst>

    <arr name="last-components">

      <str>tvComponent</str>

    </arr>

  </requestHandler>

 

 

  <searchComponent name="clustering"

                   enable="${solr.clustering.enabled:true}"

                   class="solr.clustering.ClusteringComponent" >

    <!-- Declare an engine -->

    <lst name="engine">

    <str name="name">default</str>

    <str name="carrot.algorithm">org.carrot2.clustering.lingo.LingoClusteringAlgorithm</str>

    <!-- Engine-specific parameters -->

    <str name="LingoClusteringAlgorithm.desiredClusterCountBase">20</str>

   </lst>

 

  </searchComponent>

 

  <requestHandler name="/clustering"

                  startup="lazy"

                  enable="${solr.clustering.enabled:true}"

                  class="solr.SearchHandler">

   <lst name="defaults">

    <str name="echoParams">explicit</str>

    <bool name="clustering">true</bool>

    <str name="clustering.engine">default</str>

    <bool name="clustering.results">true</bool>

    <str name="carrot.title">category_s</str>

            <str name="carrot.snippet">content</str>

         <str name="carrot.produceSummary">true</str>

  </lst>

  <arr name="last-components">

    <str>clustering</str>

  </arr>

  </requestHandler>

 

  <searchComponent name="terms" class="solr.TermsComponent"/>

 

  <!-- A request handler for demonstrating the terms component -->

  <requestHandler name="/terms" class="solr.SearchHandler" startup="lazy">

     <lst name="defaults">

      <bool name="terms">true</bool>

      <bool name="distrib">false</bool>

    </lst>     

    <arr name="components">

      <str>terms</str>

    </arr>

  </requestHandler>

 

 

  <searchComponent name="elevator" class="solr.QueryElevationComponent" >

    <!-- pick a fieldType to analyze queries -->

    <str name="queryFieldType">string</str>

    <str name="config-file">elevate.xml</str>

  </searchComponent>

 

  <!-- A request handler for demonstrating the elevator component -->

  <requestHandler name="/elevate" class="solr.SearchHandler" startup="lazy">

    <lst name="defaults">

      <str name="echoParams">explicit</str>

      <str name="df">text</str>

    </lst>

    <arr name="last-components">

      <str>elevator</str>

    </arr>

  </requestHandler>

 

 

  <searchComponent class="solr.HighlightComponent" name="highlight">

    <highlighting>

      <!-- Configure the standard fragmenter -->

      <!-- This could most likely be commented out in the "default" case -->

      <fragmenter name="gap"

                  default="true"

                  class="solr.highlight.GapFragmenter">

        <lst name="defaults">

          <int name="hl.fragsize">100</int>

        </lst>

      </fragmenter>

 

      <!-- A regular-expression-based fragmenter

           (for sentence extraction)

        -->

      <fragmenter name="regex"

                  class="solr.highlight.RegexFragmenter">

        <lst name="defaults">

          <!-- slightly smaller fragsizes work better because of slop -->

          <int name="hl.fragsize">70</int>

          <!-- allow 50% slop on fragment sizes -->

          <float name="hl.regex.slop">0.5</float>

          <!-- a basic sentence pattern -->

          <str name="hl.regex.pattern">[-\w ,/\n\&quot;&apos;]{20,200}</str>

        </lst>

      </fragmenter>

 

      <!-- Configure the standard formatter -->

      <formatter name="html"

                 default="true"

                 class="solr.highlight.HtmlFormatter">

        <lst name="defaults">

          <str name="hl.simple.pre"><![CDATA[<em>]]></str>

          <str name="hl.simple.post"><![CDATA[</em>]]></str>

        </lst>

      </formatter>

 

      <!-- Configure the standard encoder -->

      <encoder name="html"

               class="solr.highlight.HtmlEncoder" />

 

      <!-- Configure the standard fragListBuilder -->

      <fragListBuilder name="simple"

                       class="solr.highlight.SimpleFragListBuilder"/>

     

      <!-- Configure the single fragListBuilder -->

      <fragListBuilder name="single"

                       class="solr.highlight.SingleFragListBuilder"/>

     

      <!-- Configure the weighted fragListBuilder -->

      <fragListBuilder name="weighted"

                       default="true"

                       class="solr.highlight.WeightedFragListBuilder"/>

     

      <!-- default tag FragmentsBuilder -->

      <fragmentsBuilder name="default"

                        default="true"

                        class="solr.highlight.ScoreOrderFragmentsBuilder">

  

      </fragmentsBuilder>

 

      <!-- multi-colored tag FragmentsBuilder -->

      <fragmentsBuilder name="colored"

                        class="solr.highlight.ScoreOrderFragmentsBuilder">

        <lst name="defaults">

          <str name="hl.tag.pre"><![CDATA[

               <b style="background:yellow">,<b style="background:lawgreen">,

               <b style="background:aquamarine">,<b style="background:magenta">,

               <b style="background:palegreen">,<b style="background:coral">,

               <b style="background:wheat">,<b style="background:khaki">,

               <b style="background:lime">,<b style="background:deepskyblue">]]></str>

          <str name="hl.tag.post"><![CDATA[</b>]]></str>

        </lst>

      </fragmentsBuilder>

     

      <boundaryScanner name="default"

                       default="true"

                       class="solr.highlight.SimpleBoundaryScanner">

        <lst name="defaults">

          <str name="hl.bs.maxScan">10</str>

          <str name="hl.bs.chars">.,!? &#9;&#10;&#13;</str>

        </lst>

      </boundaryScanner>

     

      <boundaryScanner name="breakIterator"

                       class="solr.highlight.BreakIteratorBoundaryScanner">

        <lst name="defaults">

          <!-- type should be one of CHARACTER, WORD(default), LINE and SENTENCE -->

          <str name="hl.bs.type">WORD</str>

          <!-- language and country are used when constructing Locale object.  -->

          <!-- And the Locale object will be used when getting instance of BreakIterator -->

          <str name="hl.bs.language">en</str>

          <str name="hl.bs.country">US</str>

        </lst>

      </boundaryScanner>

    </highlighting>

  </searchComponent>

 

  

 

  <queryResponseWriter name="json" class="solr.JSONResponseWriter">

   

    <str name="content-type">text/plain; charset=UTF-8</str>

  </queryResponseWriter>

 

  <!--

     Custom response writers can be declared as needed...

    -->

    <queryResponseWriter name="velocity" class="solr.VelocityResponseWriter" startup="lazy"/>

 

 

  <queryResponseWriter name="xslt" class="solr.XSLTResponseWriter">

    <int name="xsltCacheLifetimeSeconds">5</int>

  </queryResponseWriter>

 

  

  <admin>

    <defaultQuery>*:*</defaultQuery>

  </admin>

 

</config>