Solr

<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"/>

SolrInputDocument doc = new SolrInputDocument();
doc.setField("id", "ABC");
doc.setField("content", "中华人民共和国");

//构建好文档后添加的上面初始化好的server里就行了.
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

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

         <response>
           <lst name="responseHeader">
             <int name="status">0</int>
             <int name="QTime">1</int>
             <lst name="params">
               <str name="q">*:*</str>
               <str name="indent">true</str>
               <str name="wt">xml</str>
             </lst>
           </lst>
           <result name="response" numFound="32" start="0">
             <doc>
               <str name="id">GB18030TEST</str>
               <str name="name">Test with some GB18030 encoded characters</str>
               <arr name="features">
                 <str>No accents here</str>
                 <str>这是一个功能</str>
                 <str>This is a feature (translated)</str>
                 <str>这份文件是很有光泽</str>
                 <str>This document is very shiny (translated)</str>
               </arr>
               <float name="price">0.0</float>
               <str name="price_c">0,USD</str>
               <bool name="inStock">true</bool>
               <long name="_version_">1551530971591868416</long>
             </doc>
             <doc>
               <str name="id">SP2514N</str>
               <str name="name">
                 Samsung SpinPoint P120 SP2514N - hard drive - 250 GB - ATA-133
               </str>
               <str name="manu">Samsung Electronics Co. Ltd.</str>
               <str name="manu_id_s">samsung</str>
               <arr name="cat">
                 <str>electronics</str>
                 <str>hard drive</str>
               </arr>
               <arr name="features">
                 <str>7200RPM, 8MB cache, IDE Ultra ATA-133</str>
                 <str>
                   NoiseGuard, SilentSeek technology, Fluid Dynamic Bearing (FDB) motor
                 </str>
               </arr>
               <float name="price">92.0</float>
               <str name="price_c">92,USD</str>
               <int name="popularity">6</int>
               <bool name="inStock">true</bool>
               <date name="manufacturedate_dt">2006-02-13T15:26:37Z</date>
               <str name="store">35.0752,-97.032</str>
               <long name="_version_">1551530971597111296</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);
}

http://localhost:8983/solr/collection1/select?q=*%3A*&start=0&rows=1&wt=xml&indent=true&facet=true&facet.field=cat&facet.field=price

<response>
  <lst name="responseHeader">
    <int name="status">0</int>
    <int name="QTime">2</int>
    <lst name="params">
      <str name="q">*:*</str>
      <arr name="facet.field">
        <str>cat</str>
        <str>price</str>
      </arr>
      <str name="indent">true</str>
      <str name="start">0</str>
      <str name="rows">1</str>
      <str name="wt">xml</str>
      <str name="facet">true</str>
    </lst>
  </lst>
  <result name="response" numFound="32" start="0">
    <doc>
      <str name="id">GB18030TEST</str>
      <str name="name">Test with some GB18030 encoded characters</str>
      <arr name="features">
        <str>No accents here</str>
        <str>这是一个功能</str>
        <str>This is a feature (translated)</str>
        <str>这份文件是很有光泽</str>
        <str>This document is very shiny (translated)</str>
      </arr>
      <float name="price">0.0</float>
      <str name="price_c">0,USD</str>
      <bool name="inStock">true</bool>
      <long name="_version_">1551530971591868416</long>
    </doc>
  </result>
  <lst name="facet_counts">
    <lst name="facet_queries"/>
    <lst name="facet_fields">
      <lst name="cat">
        <int name="electronics">14</int>
        <int name="currency">4</int>
        <int name="memory">3</int>
        <int name="connector">2</int>
        <int name="graphics card">2</int>
        <int name="hard drive">2</int>
        <int name="monitor">2</int>
        <int name="search">2</int>
        <int name="software">2</int>
        <int name="camera">1</int>
        <int name="copier">1</int>
        <int name="multifunction printer">1</int>
        <int name="music">1</int>
        <int name="printer">1</int>
        <int name="scanner">1</int>
      </lst>
      <lst name="price">
        <int name="0.0">3</int>
        <int name="11.5">1</int>
        <int name="19.95">1</int>
        <int name="74.99">1</int>
        <int name="92.0">1</int>
        <int name="179.99">1</int>
        <int name="185.0">1</int>
        <int name="279.95">1</int>
        <int name="329.95">1</int>
        <int name="350.0">1</int>
        <int name="399.0">1</int>
        <int name="479.95">1</int>
        <int name="649.99">1</int>
        <int name="2199.0">1</int>
      </lst>
    </lst>
    <lst name="facet_dates"/>
    <lst name="facet_ranges"/>
  </lst>
</response>

f.字段名.参数名=参数值

&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

&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.field={!key=中央处理器}cpu&facet.field={!key=显卡}videoCard

&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();