Solr 6.7學習筆記（02）-- 配置文件 managed-schema (schema.xml) -- 樣例（6）

 managed-schema 樣例：

 

<?xml version="1.0" encoding="UTF-8" ?>
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<schema name="example" version="1.6">
  <!-- 字段名由字母數字和下划線組成，不能以數字開頭。以下划線開頭並且以下划線結尾的字段名是
     保留字段名(e.g. _version_).
   -->

   <!-- 如果去除此字段，必須同時去掉solrconfig.xml中的update log。
       _version_ and update log 在SolrCloud中是必須的。
      作用類似於hibernate中的version字段，用於樂觀鎖。
   --> 
   <field name="_version_" type="long" indexed="true" stored="false" />
   
   <!-- 如果document中內嵌document，此需要此字段。用於內嵌的document指向其父document. 
   -->
   <field name="_root_" type="string" indexed="true" stored="false" docValues="false" />

   <!-- 除非你有很充足的理由，否則不要去除"id"字段. 
     不要改變type屬性， 不要對<uniqueKey>對應的字段進行索引時分析。 -->
   <field name="id" type="string" indexed="true" stored="true" required="true" multiValued="false" /> 

   <!-- 以下定義了一些sample字段 -->
   <field name="pre" type="preanalyzed" indexed="true" stored="true"/>
   <field name="sku" type="text_en_splitting_tight" indexed="true" stored="true" omitNorms="true"/>
   <field name="name" type="text_general" indexed="true" stored="true"/>
   <field name="manu" type="text_general" indexed="true" stored="true" omitNorms="true"/>
   <field name="cat" type="string" indexed="true" stored="true" multiValued="true"/>
   <field name="features" type="text_general" indexed="true" stored="true" multiValued="true"/>
   <field name="includes" type="text_general" 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" />

   <field name="store" type="location" indexed="true" stored="true"/>

   <!-- 以下字段為解析word,PDF此類富文本所需要的字段。一些multiValued="true"的字段是因為Tika返回
     就是多個值。
     一些字段來自於客戶端的上下文： 
       "content_type": 來自 HTTP headers of incoming stream
       "resourcename": From SolrCell request param resource.name
     如果你的應用不需要解析諸如此類的文本，則這些字段定義都不需要
    -->
   <field name="title" type="text_general" indexed="true" stored="true" multiValued="true"/>
   <field name="subject" type="text_general" indexed="true" stored="true"/>
   <field name="description" type="text_general" indexed="true" stored="true"/>
   <field name="comments" type="text_general" indexed="true" stored="true"/>
   <field name="author" type="text_general" indexed="true" stored="true"/>
   <field name="keywords" type="text_general" indexed="true" stored="true"/>
   <field name="category" type="text_general" indexed="true" stored="true"/>
   <field name="resourcename" type="text_general" indexed="true" stored="true"/>
   <field name="url" type="text_general" indexed="true" stored="true"/>
   <field name="content_type" type="string" indexed="true" stored="true" multiValued="true"/>
   <field name="last_modified" type="date" indexed="true" stored="true"/>
   <field name="links" type="string" indexed="true" stored="true" multiValued="true"/>
   <field name="_src_" type="string" indexed="false" stored="true"/>

   <!-- 以下為SolrCell解析出的word，PDF等文件的主體內容.
        如下定義，可用於高亮顯示搜索匹配的內容 -->
   <field name="content" type="text_general" indexed="false" stored="true" multiValued="true"/>
   

   <!-- 定義一個字段來包含所有可搜索的字段 （通過copyField 實現）  -->
   <field name="text" type="text_general" indexed="true" stored="false" multiValued="true"/>

   <!-- 定義一個字段用於正反向索引分詞，有利於提高通配符搜索. -->
   <field name="text_rev" type="text_general_rev" indexed="true" stored="false" multiValued="true"/>

   <!--  不進行分詞的 manufacturer， 為了更容易地對manufacturer進行排序或分組 -->
   <field name="manu_exact" type="string" indexed="true" stored="false" docValues="false" />

   <field name="payloads" type="payloads" indexed="true" stored="true"/>


   <!-- 動態字段定義，用於方便地配置所有匹配pattern的字段. 
       例如:  name="*_i" 將匹配所有以 _i 結尾的字段(如：myid_i, z_i)
       限制: "*" 必須只出現在開始或結尾 -->
   
   <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"/>

   <!-- 用於索引"位置"字段類型的經度和緯度-->
   <dynamicField name="*_coordinate"  type="tdouble" indexed="true"  stored="false" useDocValuesAsStored="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"/>

   <!-- 用於加快范圍查詢 -->
   <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="*_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" />

   <!-- 去掉下面的注釋，將會忽略所有未定義或者不匹配動態字段的字段。否則會拋錯。 
        如果想把未知字段自動索引或/並存儲，把type="ignored" 改成其它的類型（e.g. "text"）， --> 
   <!--dynamicField name="*" type="ignored" multiValued="true" /-->
   



 <!-- 標識document唯一的字段   -->
 <uniqueKey>id</uniqueKey>
 
  <!-- copyField 用於在把documnet添加到索引時，copy一個字段的內容到另外一個字段。這樣可以對相同的字段進行不同的索引，
       或者把多個字段copy到同一個字段以簡化/加快搜索  -->

   <copyField source="cat" dest="text"/>
   <copyField source="name" dest="text"/>
   <copyField source="manu" dest="text"/>
   <copyField source="features" dest="text"/>
   <copyField source="includes" dest="text"/>
   <copyField source="manu" dest="manu_exact"/>

   <!-- Copy the price into a currency enabled field (default USD) -->
   <copyField source="price" dest="price_c"/>

   <!-- Text fields from SolrCell to search by default in our catch-all field -->
   <copyField source="title" dest="text"/>
   <copyField source="author" dest="text"/>
   <copyField source="description" dest="text"/>
   <copyField source="keywords" dest="text"/>
   <copyField source="content" dest="text"/>
   <copyField source="content_type" dest="text"/>
   <copyField source="resourcename" dest="text"/>
   <copyField source="url" dest="text"/>

   <!-- 創建一個 string 版本的author 用於分組(facet)。例如：作者是"Mike Jackson", 則索引時，會進行分詞，即
   把 Mike 和 Jackson 分開進行索引，但是我們進行facet搜索時，需要把Mike和Jackson作為一個整體進行搜索，這就
   需要把它們做為一個整體進行索引，type="string"的字段類型會對內容作為整體進行索引。 -->
   <copyField source="author" dest="author_s"/>
  
     
    <!-- "name" 屬性值用於field 定義里的 type 屬性值
         "class" 屬性值決定了fieldType的真正行為.
         Class 以"solr"開頭，表示的是java類所在包的包名縮寫（比如： org.apache.solr.analysis）
    -->

    <!-- StrField 類型的field，其值會做為一個整體進行存儲或索引。如果設置了docValues為true, 則必須確保此
         field是單值的並且不為空。
      -->
    <fieldType name="string" class="solr.StrField" sortMissingLast="true" />

    <!-- boolean type: "true" or "false" -->
    <fieldType name="boolean" class="solr.BoolField" sortMissingLast="true"/>
    
    <!-- 默認的數字類型。想要更快的范圍搜索，考慮使用 tint/tfloat/tlong/tdouble .
         支持docValues，但是必須確保其單值並且不為空。      
    -->
    <fieldType name="int" class="solr.TrieIntField" docValues="true" precisionStep="0" positionIncrementGap="0"/>
    <fieldType name="float" class="solr.TrieFloatField" docValues="true" precisionStep="0" positionIncrementGap="0"/>
    <fieldType name="long" class="solr.TrieLongField" docValues="true" precisionStep="0" positionIncrementGap="0"/>
    <fieldType name="double" class="solr.TrieDoubleField" docValues="true" precisionStep="0" positionIncrementGap="0"/>

    <!-- 以下數字類型的field, 將在各個精度等級保存其值，用於加快范圍搜索。詳見 NumericRangeQuery 的javadoc

     較小的 precisionStep 值意味着更細粒度的精度等級，會少量增加索引文件大小，便是范圍搜索會更快     
     precisionStep 為 0 的話，不會生成精度等級。
    -->
    <fieldType name="tint" class="solr.TrieIntField" docValues="true" precisionStep="8" positionIncrementGap="0"/>
    <fieldType name="tfloat" class="solr.TrieFloatField" docValues="true" precisionStep="8" positionIncrementGap="0"/>
    <fieldType name="tlong" class="solr.TrieLongField" docValues="true" precisionStep="8" positionIncrementGap="0"/>
    <fieldType name="tdouble" class="solr.TrieDoubleField" docValues="true" precisionStep="8" positionIncrementGap="0"/>

    <!-- 日期字段的格式是 1995-12-31T23:59:59Z, 這是日期時間類型更加嚴格和權威的表示方法
          
         結尾的"Z" 表示 UTC 時間，這是必須的。
         秒可以有小數部分: 1995-12-31T23:59:59.999Z
         
         表達示可以用來相對於"NOW"的計算值, 如...

               NOW/HOUR ：精確到小時
               NOW-1DAY ：比現在少一天的時間
               NOW/DAY+6MONTHS+3DAYS：現在以后的6個月再加上3天         
      -->
    <fieldType name="date" class="solr.TrieDateField" docValues="true" precisionStep="0" positionIncrementGap="0"/>

    <!-- 類似於數字類型中的說明 -->
    <fieldType name="tdate" class="solr.TrieDateField" docValues="true" precisionStep="6" positionIncrementGap="0"/>


    <!--數據必須以Base64 編碼進行發送/接收 -->
    <fieldType name="binary" class="solr.BinaryField"/>

    
    <!-- solr.TextField 允許自定義分詞器和過濾器。索引時和查詢時的分詞器可以不同。
　　　　　 詳見 http://wiki.apache.org/solr/AnalyzersTokenizersTokenFilters
     -->

    <!-- 僅使用空格分詞器的fieldType -->
    <fieldType name="text_ws" class="solr.TextField" positionIncrementGap="100">
      <analyzer>
        <tokenizer class="solr.WhitespaceTokenizerFactory"/>
      </analyzer>
    </fieldType>

    <!-- 具有stopwords 和 synonyms 過濾器的標准分詞器的fieldType -->
    <fieldType name="managed_en" class="solr.TextField" positionIncrementGap="100">
      <analyzer>
        <tokenizer class="solr.StandardTokenizerFactory"/>
        <filter class="solr.ManagedStopFilterFactory" managed="english" />
        <filter class="solr.ManagedSynonymFilterFactory" managed="english" />
      </analyzer>
    </fieldType>

    <!-- 普通的文本 fieldType
         StandardTokenizer, 移除"stopwords.txt"中指定的詞(忽略大小寫)
    -->
    <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" />
        <!-- 本例中，我們只在查詢時應用同義詞
        <filter class="solr.SynonymFilterFactory" synonyms="index_synonyms.txt" ignoreCase="true" expand="false"/>
        -->
        <filter class="solr.LowerCaseFilterFactory"/>
      </analyzer>
      <analyzer type="query">
        <tokenizer class="solr.StandardTokenizerFactory"/>
        <filter class="solr.StopFilterFactory" ignoreCase="true" words="stopwords.txt" />
        <filter class="solr.SynonymFilterFactory" synonyms="synonyms.txt" ignoreCase="true" expand="true"/>
        <filter class="solr.LowerCaseFilterFactory"/>
      </analyzer>
    </fieldType>

    <!-- 適用於英文的field類型: StandardTokenizer, 去除英文 stop words(lang/stopwords_en.txt), 
         轉換成小寫, 進行詞根化處理（如：stopping會被轉化成stop進行索引），但是 protwords.txt中指定的詞不會被轉化。  -->
    <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.
        -->
        <filter class="solr.StopFilterFactory"
                ignoreCase="true"
                words="lang/stopwords_en.txt" />
        <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"/>
        <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>

    <!-- 下面的fieldType只是比上面的"text_en"多加了一個WordDelimiterFilter。
          WordDelimiterFilter 的作用是把大小寫有變化的詞、數字和字母組合的詞分開索引。這樣的話，如果我們搜索"wi fi"， 
          "WiFi" 和 "wi-fi"都會認為是匹配的。
        -->
    <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. -->
        <filter class="solr.StopFilterFactory"
                ignoreCase="true"
                words="lang/stopwords_en.txt"
                />
        <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"  />
        <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>

    <!-- 下面的例子展示了一個不容易匹配，因此也不容易出現匹配錯誤的fieldType.  應用於Solr示例中的SKU的值會比較好. -->
    <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>

    <!-- 與text_general 相似，另外增加了一個功能：把每個分詞進行反轉，這樣會使以通配符開頭的查詢會更快. -->
    <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" />
        <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" />
        <filter class="solr.LowerCaseFilterFactory"/>
      </analyzer>
    </fieldType>

   

    <!-- 使用 KeywordTokenizer 和各種 TokenFilterFactories的fieldType， 對可排序的字段，在排序時去掉一些內容
        比如： field內容為 123test, 排序時，去掉前面的數字進行排序
      -->
    <fieldType name="alphaOnlySort" class="solr.TextField" sortMissingLast="true" omitNorms="true">
      <analyzer>
        <!-- KeywordTokenizer 不進行實際的分詞，即輸入的字符串將被認為是單個分詞-->
        <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" />
        <!-- PatternReplaceFilter 用正則表達示去替換文本中的內容              
             詳見 http://docs.oracle.com/javase/8/docs/api/java/util/regex/package-summary.html
          -->
        <filter class="solr.PatternReplaceFilterFactory"
                pattern="([^a-z])" replacement="" replace="all" />
      </analyzer>
    </fieldType>
      

    <!-- 
      Example of using PathHierarchyTokenizerFactory at index time, so
      queries for paths match documents at that path, or in descendent paths
    -->
    <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>


    <!-- 定義被忽略的fieldType  --> 
    <fieldType name="ignored" stored="false" indexed="false" multiValued="true" class="solr.StrField" />

    <!-- This point type indexes the coordinates as separate fields (subFields)
      If subFieldType is defined, it references a type, and a dynamic field
      definition is created matching *___<typename>.  Alternately, if 
      subFieldSuffix is defined, that is used to create the subFields.
      Example: if subFieldType="double", then the coordinates would be
        indexed in fields myloc_0___double,myloc_1___double.
      Example: if subFieldSuffix="_d" then the coordinates would be indexed
        in fields myloc_0_d,myloc_1_d
      The subFields are an implementation detail of the fieldType, and end
      users normally should not need to know about them.
     -->
    <fieldType name="point" class="solr.PointType" dimension="2" subFieldSuffix="_d"/>

    <!-- A specialized field for geospatial search. If indexed, this fieldType must not be multivalued. -->
    <fieldType name="location" class="solr.LatLonType" subFieldSuffix="_coordinate"/>

    <!-- Solr 4開始新增的一個表示地理位置的 fieldType. 支持 multiValued and polygon shapes.
      For more information about this and other Spatial fields new to Solr 4, see:
      http://wiki.apache.org/solr/SolrAdaptersForLuceneSpatial4
    -->
    <fieldType name="location_rpt" class="solr.SpatialRecursivePrefixTreeFieldType"
        geo="true" distErrPct="0.025" maxDistErr="0.001" distanceUnits="kilometers" />

    <!-- Spatial rectangle (bounding box) field. It supports most spatial predicates, and has
     special relevancy modes: score=overlapRatio|area|area2D (local-param to the query).  DocValues is recommended for
     relevancy. -->
    <fieldType name="bbox" class="solr.BBoxField"
               geo="true" distanceUnits="kilometers" numberType="_bbox_coord" />
    <fieldType name="_bbox_coord" class="solr.TrieDoubleField" precisionStep="8" docValues="true" useDocValuesAsStored="false" stored="false" />

   <!-- 表示貨幣的fieldType. See http://wiki.apache.org/solr/MoneyFieldType
        Parameters:
          defaultCurrency: 指定幣種. Defaults to "USD"
          precisionStep:   指定范圍划分的精度
          providerClass:   Lets you plug in other exchange provider backend:
                           solr.FileExchangeRateProvider is the default and takes one parameter:
                             currencyConfig: name of an xml file holding exchange rates
                           solr.OpenExchangeRatesOrgProvider uses rates from openexchangerates.org:
                             ratesFileLocation: URL or path to rates JSON file (default latest.json on the web)
                             refreshInterval: Number of minutes between each rates fetch (default: 1440, min: 60)
   -->
    <fieldType name="currency" class="solr.CurrencyField" precisionStep="8" defaultCurrency="USD" currencyConfig="currency.xml" />
             


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

    
    
    <!-- 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>


    <!-- Pre-analyzed field type, allows inserting arbitrary token streams and stored values. -->
    <fieldType name="preanalyzed" class="solr.PreAnalyzedField">
      <!-- PreAnalyzedField's builtin index analyzer just decodes the pre-analyzed token stream. -->
      <analyzer type="query">
        <tokenizer class="solr.WhitespaceTokenizerFactory"/>
      </analyzer>
    </fieldType>


</schema>

 

  上面的內空抄自${solr.home}example\techproducts\solr\techproducts\conf\managed-schema

 

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Solr 6.7學習筆記（02）-- 配置文件 managed-schema (schema.xml) - filter（5）