<?xml version=“1.0” encoding=“UTF-8” ?> <!–

Licensed to the Apache Software Foundation (ASF) under one or more
contributor license agreements.  See the NOTICE file distributed with
this work for additional information regarding copyright ownership.
The ASF licenses this file to You under the Apache License, Version 2.0
(the "License"); you may not use this file except in compliance with
the License.  You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.

–>

<!–

This is the Solr schema file. This file should be named "schema.xml" and
should be in the conf directory under the solr home
(i.e. ./solr/conf/schema.xml by default) 
or located where the classloader for the Solr webapp can find it.

This example schema is the recommended starting point for users.
It should be kept correct and concise, usable out-of-the-box.

For more information, on how to customize this file, please see
http://wiki.apache.org/solr/SchemaXml

PERFORMANCE NOTE: this schema includes many optional features and should not
be used for benchmarking.  To improve performance one could
 - set stored="false" for all fields possible (esp large fields) when you
   only need to search on the field but don't need to return the original
   value.
 - set indexed="false" if you don't need to search on the field, but only
   return the field as a result of searching on other indexed fields.
 - remove all unneeded copyField statements
 - for best index size and searching performance, set "index" to false
   for all general text fields, use copyField to copy them to the
   catchall "text" field, and use that for searching.
 - For maximum indexing performance, use the ConcurrentUpdateSolrServer
   java client.
 - Remember to run the JVM in server mode, and use a higher logging level
   that avoids logging every request

–>

<schema name=“example” version=“1.6”>

 <!-- attribute "name" is the name of this schema and is only used for display purposes.
      version="x.y" is Solr's version number for the schema syntax and 
      semantics.  It should not normally be changed by applications.

      1.0: multiValued attribute did not exist, all fields are multiValued 
           by nature
      1.1: multiValued attribute introduced, false by default 
      1.2: omitTermFreqAndPositions attribute introduced, true by default 
           except for text fields.
      1.3: removed optional field compress feature
      1.4: autoGeneratePhraseQueries attribute introduced to drive QueryParser
           behavior when a single string produces multiple tokens.  Defaults 
           to off for version >= 1.4
      1.5: omitNorms defaults to true for primitive field types 
           (int, float, boolean, string...)
      1.6: useDocValuesAsStored defaults to true.
    -->

  <!-- Valid attributes for fields:
    name: mandatory - the name for the field
    type: mandatory - the name of a field type from the 
      fieldTypes
    indexed: true if this field should be indexed (searchable or sortable)
    stored: true if this field should be retrievable
    docValues: true if this field should have doc values. Doc values are
      useful (required, if you are using *Point fields) for faceting, 
      grouping, sorting and function queries. Doc values will make the index 
      faster to load, more NRT-friendly and more memory-efficient. 
      They however come with some limitations: they are currently only 
      supported by StrField, UUIDField, all *PointFields, and depending
      on the field type, they might require the field to be single-valued,
      be required or have a default value (check the documentation
      of the field type you're interested in for more information)
    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.
      Norms are omitted for primitive (non-analyzed) types by default.
    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.
    termPayloads: Store payload information with the term vector. This
      will increase storage costs.
    required: The field is required.  It will throw an error if the
      value does not exist
    default: a value that should be used if no value is specified
      when adding a document.
  -->

  <!-- field names should consist of alphanumeric or underscore characters only and
     not start with a digit.  This is not currently strictly enforced,
     but other field names will not have first class support from all components
     and back compatibility is not guaranteed.  Names with both leading and
     trailing underscores (e.g. _version_) are reserved.
  -->

  <!-- If you remove this field, you must _also_ disable the update log in solrconfig.xml
     or Solr won't start. _version_ and update log are required for SolrCloud
  --> 
  <!-- doc values are enabled by default for primitive types such as long so we don't index the version field  -->
  <field name="_version_" type="plong" indexed="false" stored="false"/>

  <!-- points to the root document of a block of nested documents. Required for nested
     document support, may be removed otherwise
  -->
  <field name="_root_" type="string" indexed="true" stored="false" docValues="false" />

  <!-- Only remove the "id" field if you have a very good reason to. While not strictly
    required, it is highly recommended. A <uniqueKey> is present in almost all Solr 
    installations. See the <uniqueKey> declaration below where <uniqueKey> is set to "id".
    Do NOT change the type and apply index-time analysis to the <uniqueKey> as it will likely 
    make routing in SolrCloud and document replacement in general fail. Limited _query_ time
    analysis is possible as long as the indexing process is guaranteed to index the term
    in a compatible way. Any analysis applied to the <uniqueKey> should _not_ produce multiple
    tokens
  -->   
  <field name="id" type="string" indexed="true" stored="true" required="true" multiValued="false" /> 

  <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_gen_sort" indexed="true" stored="true" omitNorms="true" multiValued="false"/>
  <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="pfloat" indexed="true" stored="true"/>
  <field name="price"  type="pfloat" indexed="true" stored="true"/>
  <field name="popularity" type="pint" indexed="true" stored="true" />
  <field name="inStock" type="boolean" indexed="true" stored="true" />

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

  <!-- Common metadata fields, named specifically to match up with
    SolrCell metadata when parsing rich documents such as Word, PDF.
    Some fields are multiValued only because Tika currently may return
    multiple values for them. Some metadata is parsed from the documents,
    but there are some which come from the client context:
      "content_type": From the HTTP headers of incoming stream
      "resourcename": From SolrCell request param resource.name
  -->
  <field name="title" type="text_gen_sort" indexed="true" stored="true" multiValued="true"/>
  <field name="subject" type="text_gen_sort" indexed="true" stored="true" multiValued="false"/>
  <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_gen_sort" indexed="true" stored="true" multiValued="false"/>
  <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="pdate" indexed="true" stored="true"/>
  <field name="links" type="string" indexed="true" stored="true" multiValued="true"/>
  <field name="_src_" type="string" indexed="false" stored="true"/>

  <!-- Main body of document extracted by SolrCell.
       NOTE: This field is not indexed by default, since it is also copied to "text"
       using copyField below. This is to save space. Use this field for returning and
       highlighting document content. Use the "text" field to search the content. -->
  <field name="content" type="text_general" indexed="false" stored="true" multiValued="true"/>

  <!-- catchall field, containing all other searchable text fields (implemented
       via copyField further on in this schema  -->
  <field name="text" type="text_general" indexed="true" stored="false" multiValued="true"/>

  <!-- catchall text field that indexes tokens both normally and in reverse for efficient
       leading wildcard queries. -->
  <field name="text_rev" type="text_general_rev" indexed="true" stored="false" multiValued="true"/>

  <!-- non-tokenized version of manufacturer to make it easier to sort or group
       results by manufacturer.  copied from "manu" via copyField -->
  <field name="manu_exact" type="string" indexed="true" stored="false" docValues="false" />

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

  <!-- Dynamic field definitions allow using convention over configuration
      for fields via the specification of patterns to match field names. 
      EXAMPLE:  name="*_i" will match any field ending in _i (like myid_i, z_i)
      RESTRICTION: the glob-like pattern in the name attribute must have
      a "*" only at the start or the end.  -->

  <dynamicField name="*_i"  type="pint"    indexed="true"  stored="true"/>
  <dynamicField name="*_is" type="pint"    indexed="true"  stored="true"  multiValued="true"/>
  <dynamicField name="*_s"  type="string"  indexed="true"  stored="true" />
  <dynamicField name="*_s_ns"  type="string"  indexed="true"  stored="false" />
  <dynamicField name="*_ss" type="string"  indexed="true"  stored="true" multiValued="true"/>
  <dynamicField name="*_l"  type="plong"   indexed="true"  stored="true"/>
  <dynamicField name="*_l_ns"  type="plong"   indexed="true"  stored="false"/>
  <dynamicField name="*_ls" type="plong"   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="pfloat"  indexed="true"  stored="true"/>
  <dynamicField name="*_fs" type="pfloat"  indexed="true"  stored="true"  multiValued="true"/>
  <dynamicField name="*_d"  type="pdouble" indexed="true"  stored="true"/>
  <dynamicField name="*_ds" type="pdouble" indexed="true"  stored="true"  multiValued="true"/>

  <dynamicField name="*_dt"  type="pdate"    indexed="true"  stored="true"/>
  <dynamicField name="*_dts" type="pdate"    indexed="true"  stored="true" multiValued="true"/>
  <dynamicField name="*_p"  type="location" 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" />

  <!-- uncomment the following to ignore any fields that don't already match an existing 
       field name or dynamic field, rather than reporting them as an error. 
       alternately, change the type="ignored" to some other type e.g. "text" if you want 
       unknown fields indexed and/or stored by default --> 
  <!--dynamicField name="*" type="ignored" multiValued="true" /-->

<!-- Field to use to determine and enforce document uniqueness. 
     Unless this field is marked with required="false", it will be a required field
  -->
<uniqueKey>id</uniqueKey>

 <!-- copyField commands copy one field to another at the time a document
       is added to the index.  It's used either to index the same field differently,
       or to add multiple fields to the same field for easier/faster searching.  -->

  <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"/>

  <!-- Create a string version of author for faceting -->
  <copyField source="author" dest="author_s"/>

  <!-- Above, multiple source fields are copied to the [text] field. 
   Another way to map multiple source fields to the same 
   destination field is to use the dynamic field syntax. 
   copyField also supports a maxChars to copy setting.  -->

  <!-- <copyField source="*_t" dest="text" maxChars="3000"/> -->

  <!-- copy name to alphaNameSort, a field designed for sorting by name -->
  <!-- <copyField source="name" dest="alphaNameSort"/> -->

   <!-- field type definitions. The "name" attribute is
      just a label to be used by field definitions.  The "class"
      attribute and any other attributes determine the real
      behavior of the fieldType.
        Class names starting with "solr" refer to java classes in a
      standard package such as org.apache.solr.analysis
   -->

   <!-- The StrField type is not analyzed, but indexed/stored verbatim. -->
   <fieldType name="string" class="solr.StrField" sortMissingLast="true" />

   <!-- boolean type: "true" or "false" -->
   <fieldType name="boolean" class="solr.BoolField" sortMissingLast="true"/>

   <!-- sortMissingLast and sortMissingFirst attributes are optional attributes are
        currently supported on types that are sorted internally as strings
        and on numeric types.
      This includes "string", "boolean", "pint", "pfloat", "plong", "pdate", "pdouble".
      - If sortMissingLast="true", then a sort on this field will cause documents
        without the field to come after documents with the field,
        regardless of the requested sort order (asc or desc).
      - If sortMissingFirst="true", then a sort on this field will cause documents
        without the field to come before documents with the field,
        regardless of the requested sort order.
      - If sortMissingLast="false" and sortMissingFirst="false" (the default),
        then default lucene sorting will be used which places docs without the
        field first in an ascending sort and last in a descending sort.
   -->    

   <!--
     Numeric field types that index values using KD-trees.
     Point fields don't support FieldCache, so they must have docValues="true" if needed for sorting, faceting, functions, etc.
   -->
   <fieldType name="pint" class="solr.IntPointField" docValues="true"/>
   <fieldType name="pfloat" class="solr.FloatPointField" docValues="true"/>
   <fieldType name="plong" class="solr.LongPointField" docValues="true"/>
   <fieldType name="pdouble" class="solr.DoublePointField" docValues="true"/>

   <fieldType name="pints" class="solr.IntPointField" docValues="true" multiValued="true"/>
   <fieldType name="pfloats" class="solr.FloatPointField" docValues="true" multiValued="true"/>
   <fieldType name="plongs" class="solr.LongPointField" docValues="true" multiValued="true"/>
   <fieldType name="pdoubles" class="solr.DoublePointField" docValues="true" multiValued="true"/>

   <!-- The format for this date field is of the form 1995-12-31T23:59:59Z, and
        is a more restricted form of the canonical representation of dateTime
        http://www.w3.org/TR/xmlschema-2/#dateTime    
        The trailing "Z" designates UTC time and is mandatory.
        Optional fractional seconds are allowed: 1995-12-31T23:59:59.999Z
        All other components are mandatory.

        Expressions can also be used to denote calculations that should be
        performed relative to "NOW" to determine the value, ie...

              NOW/HOUR
                 ... Round to the start of the current hour
              NOW-1DAY
                 ... Exactly 1 day prior to now
              NOW/DAY+6MONTHS+3DAYS
                 ... 6 months and 3 days in the future from the start of
                     the current day

        Consult the DatePointField javadocs for more information.
     -->

   <!-- KD-tree versions of date fields -->
   <fieldType name="pdate" class="solr.DatePointField" docValues="true"/>
   <fieldType name="pdates" class="solr.DatePointField" docValues="true" multiValued="true"/>

   <!--Binary data type. The data should be sent/retrieved in as Base64 encoded Strings -->
   <fieldType name="binary" class="solr.BinaryField"/>

   <!-- The "RandomSortField" is not used to store or search any
        data.  You can declare fields of this type it in your schema
        to generate pseudo-random orderings of your docs for sorting 
        or function purposes.  The ordering is generated based on the field
        name and the version of the index. As long as the index version
        remains unchanged, and the same field name is reused,
        the ordering of the docs will be consistent.  
        If you want different psuedo-random orderings of documents,
        for the same version of the index, use a dynamicField and
        change the field name in the request.
    -->
   <fieldType name="random" class="solr.RandomSortField" indexed="true" />

   <!-- solr.TextField allows the specification of custom text analyzers
        specified as a tokenizer and a list of token filters. Different
        analyzers may be specified for indexing and querying.

        The optional positionIncrementGap puts space between multiple fields of
        this type on the same document, with the purpose of preventing false phrase
        matching across fields.

        For more info on customizing your analyzer chain, please see
        http://wiki.apache.org/solr/AnalyzersTokenizersTokenFilters
    -->

   <!-- One can also specify an existing Analyzer class that has a
        default constructor via the class attribute on the analyzer element.
        Example:
   <fieldType name="text_greek" class="solr.TextField">
     <analyzer class="org.apache.lucene.analysis.el.GreekAnalyzer"/>
   </fieldType>
   -->

   <!-- A text field that only splits on whitespace for exact matching of words -->
   <fieldType name="text_ws" class="solr.TextField" positionIncrementGap="100">
     <analyzer>
       <tokenizer class="solr.WhitespaceTokenizerFactory"/>
     </analyzer>
   </fieldType>

   <!-- A text type for English text where stopwords and synonyms are managed using the REST API -->
   <fieldType name="managed_en" class="solr.TextField" positionIncrementGap="100">
     <analyzer type="index">
       <tokenizer class="solr.StandardTokenizerFactory"/>
       <filter class="solr.ManagedStopFilterFactory" managed="english" />
       <filter class="solr.ManagedSynonymGraphFilterFactory" managed="english" />
       <filter class="solr.FlattenGraphFilterFactory"/>
     </analyzer>
     <analyzer type="query">
       <tokenizer class="solr.StandardTokenizerFactory"/>
       <filter class="solr.ManagedStopFilterFactory" managed="english" />
       <filter class="solr.ManagedSynonymGraphFilterFactory" managed="english" />
     </analyzer>
   </fieldType>

   <!-- A general text field that has reasonable, generic
        cross-language defaults: it tokenizes with StandardTokenizer,
  removes stop words from case-insensitive "stopwords.txt"
  (empty by default), and down cases.  At query time only, it
  also applies synonyms. -->
   <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" />
       <!-- in this example, we will only use synonyms at query time
       <filter class="solr.SynonymGraphFilterFactory" synonyms="index_synonyms.txt" ignoreCase="true" expand="false"/>
       <filter class="solr.FlattenGraphFilterFactory"/>
       -->
       <filter class="solr.LowerCaseFilterFactory"/>
     </analyzer>
     <analyzer type="query">
       <tokenizer class="solr.StandardTokenizerFactory"/>
       <filter class="solr.StopFilterFactory" ignoreCase="true" words="stopwords.txt" />
       <filter class="solr.SynonymGraphFilterFactory" synonyms="synonyms.txt" ignoreCase="true" expand="true"/>
       <filter class="solr.LowerCaseFilterFactory"/>
     </analyzer>
   </fieldType>

   <!-- SortableTextField generaly functions exactly like TextField,
        except that it supports, and by default uses, docValues for sorting (or faceting)
        on the first 1024 characters of the original field values (which is configurable).

        This makes it a bit more useful then TextField in many situations, but the trade-off
        is that it takes up more space on disk; which is why it's not used in place of TextField
        for every fieldType in this _default schema.
         -->
   <fieldType name="text_gen_sort" class="solr.SortableTextField" positionIncrementGap="100" multiValued="true">
     <analyzer type="index">
       <tokenizer class="solr.StandardTokenizerFactory"/>
       <filter class="solr.StopFilterFactory" ignoreCase="true" words="stopwords.txt" />
       <filter class="solr.LowerCaseFilterFactory"/>
     </analyzer>
     <analyzer type="query">
       <tokenizer class="solr.StandardTokenizerFactory"/>
       <filter class="solr.StopFilterFactory" ignoreCase="true" words="stopwords.txt" />
       <filter class="solr.SynonymGraphFilterFactory" synonyms="synonyms.txt" ignoreCase="true" expand="true"/>
       <filter class="solr.LowerCaseFilterFactory"/>
     </analyzer>
   </fieldType>

   <!-- A text field with defaults appropriate for English: it
        tokenizes with StandardTokenizer, removes English stop words
        (lang/stopwords_en.txt), down cases, protects words from protwords.txt, and
        finally applies Porter's stemming.  The query time analyzer
        also applies synonyms from synonyms.txt. -->
   <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.SynonymGraphFilterFactory" synonyms="index_synonyms.txt" ignoreCase="true" expand="false"/>
       <filter class="solr.FlattenGraphFilterFactory"/>
       -->
       <!-- 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.SynonymGraphFilterFactory" 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>

   <!-- A text field with defaults appropriate for English, plus
  aggressive word-splitting and autophrase features enabled.
  This field is just like text_en, except it adds
  WordDelimiterGraphFilter to enable splitting and matching of
  words on case-change, alpha numeric boundaries, and
  non-alphanumeric chars.  This means certain compound word
  cases will work, for example query "wi fi" will match
  document "WiFi" or "wi-fi".
       -->
   <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.SynonymGraphFilterFactory" 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.WordDelimiterGraphFilterFactory" 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"/>
       <filter class="solr.FlattenGraphFilterFactory" />
     </analyzer>
     <analyzer type="query">
       <tokenizer class="solr.WhitespaceTokenizerFactory"/>
       <filter class="solr.SynonymGraphFilterFactory" synonyms="synonyms.txt" ignoreCase="true" expand="true"/>
       <filter class="solr.StopFilterFactory"
               ignoreCase="true"
               words="lang/stopwords_en.txt"
               />
       <filter class="solr.WordDelimiterGraphFilterFactory" 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>

   <!-- Less flexible matching, but less false matches.  Probably not ideal for product names,
        but may be good for SKUs.  Can insert dashes in the wrong place and still match. -->
   <fieldType name="text_en_splitting_tight" class="solr.TextField" positionIncrementGap="100" autoGeneratePhraseQueries="true">
     <analyzer type="index">
       <tokenizer class="solr.WhitespaceTokenizerFactory"/>
       <filter class="solr.SynonymGraphFilterFactory" synonyms="synonyms.txt" ignoreCase="true" expand="false"/>
       <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_en.txt"/>
       <filter class="solr.WordDelimiterGraphFilterFactory" 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 WordDelimiterGraphFilter in conjuncton with stemming. -->
       <filter class="solr.RemoveDuplicatesTokenFilterFactory"/>
       <filter class="solr.FlattenGraphFilterFactory" />
     </analyzer>
     <analyzer type="query">
       <tokenizer class="solr.WhitespaceTokenizerFactory"/>
       <filter class="solr.SynonymGraphFilterFactory" synonyms="synonyms.txt" ignoreCase="true" expand="false"/>
       <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_en.txt"/>
       <filter class="solr.WordDelimiterGraphFilterFactory" 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 WordDelimiterGraphFilter in conjuncton with stemming. -->
       <filter class="solr.RemoveDuplicatesTokenFilterFactory"/>
     </analyzer>
   </fieldType>

   <!-- Just like text_general except it reverses the characters of
  each token, to enable more efficient leading wildcard queries. -->
   <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.SynonymGraphFilterFactory" synonyms="synonyms.txt" ignoreCase="true" expand="true"/>
       <filter class="solr.StopFilterFactory" ignoreCase="true" words="stopwords.txt" />
       <filter class="solr.LowerCaseFilterFactory"/>
     </analyzer>
   </fieldType>

   <!-- charFilter + WhitespaceTokenizer  -->
   <!--
   <fieldType name="text_char_norm" class="solr.TextField" positionIncrementGap="100" >
     <analyzer>
       <charFilter class="solr.MappingCharFilterFactory" mapping="mapping-ISOLatin1Accent.txt"/>
       <tokenizer class="solr.WhitespaceTokenizerFactory"/>
     </analyzer>
   </fieldType>
   -->

   <!-- This is an example of using the KeywordTokenizer along
        With various TokenFilterFactories to produce a sortable field
        that does not include some properties of the source text
     -->
   <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://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>

   <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>

   <!-- lowercases the entire field value, keeping it as a single token.  -->
   <fieldType name="lowercase" class="solr.TextField" positionIncrementGap="100">
     <analyzer>
       <tokenizer class="solr.KeywordTokenizerFactory"/>
       <filter class="solr.LowerCaseFilterFactory" />
     </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>
   <!-- 
     Example of using PathHierarchyTokenizerFactory at query time, so
     queries for paths match documents at that path, or in ancestor paths
   -->
   <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>

   <!-- since fields of this type are by default not stored or indexed,
        any data added to them will be ignored outright.  --> 
   <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 filters and distance sorting. -->
   <fieldType name="location" class="solr.LatLonPointSpatialField" docValues="true"/>

   <!-- An alternative geospatial field type new to Solr 4.  It supports 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="pdouble" />

  <!-- Money/currency field type. See http://wiki.apache.org/solr/MoneyFieldType
       Parameters:
         amountLongSuffix: Required. Refers to a dynamic field for the raw amount sub-field. 
                             The dynamic field must have a field type that extends LongValueFieldType.
                             Note: If you expect to use Atomic Updates, this dynamic field may not be stored.
         codeStrSuffix:    Required. Refers to a dynamic field for the currency code sub-field.
                             The dynamic field must have a field type that extends StrField.
                             Note: If you expect to use Atomic Updates, this dynamic field may not be stored.
         defaultCurrency:  Specifies the default currency if none specified. Defaults to "USD"
         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.CurrencyFieldType" amountLongSuffix="_l_ns" codeStrSuffix="_s_ns"
              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" />
       <!-- normalizes ﻯ to ﻱ, 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" /> 
       <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" />
       <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>

   <!-- Kurdish -->
   <fieldType name="text_ckb" class="solr.TextField" positionIncrementGap="100">
     <analyzer>
       <tokenizer class="solr.StandardTokenizerFactory"/>
       <filter class="solr.SoraniNormalizationFilterFactory"/>
       <!-- for any latin text -->
       <filter class="solr.LowerCaseFilterFactory"/>
       <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_ckb.txt"/>
       <filter class="solr.SoraniStemFilterFactory"/>
     </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" />
       <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" />
       <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" />
       <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" />
       <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" />
       <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" />
       <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" />
     </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" />
       <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" />
       <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"/>
       <filter class="solr.IrishLowerCaseFilterFactory"/>
       <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_ga.txt"/>
       <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" />
       <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" />
       <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" />
       <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" />
       <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" />
       <!-- 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" />
       <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 request
        handler config (q.op) 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" />
       <!-- 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" />
       <!-- 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>

   <!-- Korean morphological analysis -->
   <dynamicField name="*_txt_ko" type="text_ko"  indexed="true"  stored="true"/>
   <fieldType name="text_ko" class="solr.TextField" positionIncrementGap="100">
     <analyzer>
       <!-- Nori Korean morphological analyzer/tokenizer (KoreanTokenizer)
         The Korean (nori) analyzer integrates Lucene nori analysis module into Solr.
         It uses the mecab-ko-dic dictionary to perform morphological analysis of Korean texts.

         This dictionary was built with MeCab, it defines a format for the features adapted
         for the Korean language.

         Nori 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.

         The tokenizer supports multiple schema attributes:
           * userDictionary: User dictionary path.
           * userDictionaryEncoding: User dictionary encoding.
           * decompoundMode: Decompound mode. Either 'none', 'discard', 'mixed'. Default is 'discard'.
           * outputUnknownUnigrams: If true outputs unigrams for unknown words.
       -->
       <tokenizer class="solr.KoreanTokenizerFactory" decompoundMode="discard" outputUnknownUnigrams="false"/>
       <!-- Removes some part of speech stuff like EOMI (Pos.E), you can add a parameter 'tags',
         listing the tags to remove. By default it removes: 
         E, IC, J, MAG, MAJ, MM, SP, SSC, SSO, SC, SE, XPN, XSA, XSN, XSV, UNA, NA, VSV
         This is basically an equivalent to stemming.
       -->
       <filter class="solr.KoreanPartOfSpeechStopFilterFactory" />
       <!-- Replaces term text with the Hangul transcription of Hanja characters, if applicable: -->
       <filter class="solr.KoreanReadingFormFilterFactory" />
       <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" />
       <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" />
       <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" />
       <filter class="solr.SnowballPorterFilterFactory" language="Norwegian"/>
       <!-- less aggressive: <filter class="solr.NorwegianLightStemFilterFactory" variant="nb"/> -->
       <!-- singular/plural: <filter class="solr.NorwegianMinimalStemFilterFactory" variant="nb"/> -->
       <!-- The "light" and "minimal" stemmers support variants: nb=Bokmål, nn=Nynorsk, no=Both -->
     </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" />
       <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" />
       <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" />
       <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" />
       <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.ThaiTokenizerFactory"/>
       <filter class="solr.LowerCaseFilterFactory"/>
       <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_th.txt" />
     </analyzer>
   </fieldType>

   <!-- Turkish -->
   <fieldType name="text_tr" class="solr.TextField" positionIncrementGap="100">
     <analyzer> 
       <tokenizer class="solr.StandardTokenizerFactory"/>
       <filter class="solr.ApostropheFilterFactory"/>
       <filter class="solr.TurkishLowerCaseFilterFactory"/>
       <filter class="solr.StopFilterFactory" ignoreCase="false" words="lang/stopwords_tr.txt" />
       <filter class="solr.SnowballPorterFilterFactory" language="Turkish"/>
     </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>

 <!-- Similarity is the scoring routine for each document vs. a query.
      A custom Similarity or SimilarityFactory may be specified here, but 
      the default is fine for most applications.  
      For more info: http://wiki.apache.org/solr/SchemaXml#Similarity
   -->
 <!--
    <similarity class="com.example.solr.CustomSimilarityFactory">
      <str name="paramkey">param value</str>
    </similarity>
   -->

</schema>