以下是针对schema.xml 配置文件的剖析：

              1.  <types></types>这个标签和它的意义一样，是用来表示数据有哪些类型，这些类型当然是solr内部定义的类型和自定义类型。

               2.    <!-- The StrField type is not analyzed, but indexed/stored verbatim. -->

                   和他上面解释一样，string类型是不分词的，要建索引，要存储

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

              3.数值类型，有如下几个类型是默认数值类型，如果想用于排序请用   tint/tfloat/tlong/tdouble类型

       <!--
      Default numeric field types. For faster range queries, consider the tint/tfloat/tlong/tdouble types.
    -->
    <fieldType name="int" class="solr.TrieIntField" precisionStep="0" omitNorms="true" positionIncrementGap="0"/>
    <fieldType name="float" class="solr.TrieFloatField" precisionStep="0" omitNorms="true" positionIncrementGap="0"/>
    <fieldType name="long" class="solr.TrieLongField" precisionStep="0" omitNorms="true" positionIncrementGap="0"/>

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

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

    <fieldType name="tfloat" class="solr.TrieFloatField" precisionStep="8" omitNorms="true" positionIncrementGap="0"/>     <fieldType name="tlong" class="solr.TrieLongField" precisionStep="8" omitNorms="true" positionIncrementGap="0"/>     <fieldType name="tdouble" class="solr.TrieDoubleField" precisionStep="8" omitNorms="true" positionIncrementGap="0"/>

        4.时间类型：如果想用于快速排序查询，用tdate（看到这里我的排序没用tdate，得改啊。。）

     Note: For faster range queries, consider the tdate type

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

    <!-- A Trie based date field for faster date range queries and date faceting. -->     <fieldType name="tdate" class="solr.TrieDateField" omitNorms="true" precisionStep="6" positionIncrementGap="0"/>

    5.专门用于分词的字段。在里面包含了定义使用什么分词器，可以手工定制。

<fieldType name="text" class="solr.TextField" positionIncrementGap="100" autoGeneratePhraseQueries="true">

         <!--建索引用到的分词器，我用的是IKTokenizerFactory，中文分词-->

        <analyzer type="index">

        <!--<tokenizer class="solr.WhitespaceTokenizerFactory"/>-->         <tokenizer class="org.wltea.analyzer.solr.IKTokenizerFactory"/>         <!-- 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="stopwords.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"/>-->         <tokenizer class="org.wltea.analyzer.solr.IKTokenizerFactory"/>         <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.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>

     <!--查询用到的分词器IKTokenizerFactory，为了支持中文查询，这是必须的。-->

      <analyzer type="query">

       <!-- <tokenizer class="solr.WhitespaceTokenizerFactory"/>-->         <tokenizer class="org.wltea.analyzer.solr.IKTokenizerFactory"/>         <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.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>

其他几个类别都是不常用的，也是通过分词器来定义不同的类别。和第五个类似。

6.索引字段名称定义。

   <fields>

   <!-- Valid attributes for fields:      name: mandatory - the name for the field      type: mandatory - the name of a previously defined type from the         <types> section      indexed: true if this field should be indexed (searchable or sortable)      stored: true if this field should be retrievable      multiValued: true if this field may contain multiple values per document      omitNorms: (expert) set to true to omit the norms associated with        this field (this disables length normalization and index-time        boosting for the field, and saves some memory).  Only full-text        fields or fields that need an index-time boost need norms.      termVectors: [false] set to true to store the term vector for a        given field.        When using MoreLikeThis, fields used for similarity should be        stored for best performance.      termPositions: Store position information with the term vector.          This will increase storage costs.      termOffsets: Store offset information with the term vector. This         will increase storage costs.      default: a value that should be used if no value is specified        when adding a document.    -->    <field name="id" type="string" indexed="true" stored="true" required="true" />     <field name="sku" type="textTight" indexed="true" stored="true" omitNorms="true"/> <!--   <field name="name" type="textgen" indexed="true" stored="true"/>-->    <field name="alphaNameSort" type="alphaOnlySort" indexed="true" stored="false"/>    <field name="manu" type="textgen" indexed="true" stored="true" omitNorms="true"/>    <field name="cat" type="string" indexed="true" stored="true" multiValued="true"/>    <field name="features" type="text" indexed="true" stored="true" multiValued="true"/>    <field name="includes" type="text" indexed="true" stored="true" termVectors="true" termPositions="true" termOffsets="true" />    <field name="weight" type="float" indexed="true" stored="true"/>  <!--  <field name="price"  type="float" indexed="true" stored="true"/>-->    <field name="popularity" type="int" indexed="true" stored="true" />    <field name="inStock" type="boolean" indexed="true" stored="true" />  </fields>

  id：是索引字段的唯一标识。

termVectors="true"属性主要用于相关搜索。

multiValued="true"属性，一般用于多个字段组成一个字段的情况。

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

一般用于查询的字段定义为multiValued。

7.  <dynamicField name="*_i"  type="int"    indexed="true"  stored="true"/>表示动态字段，暂时没用到。