schema.xml

<?xml version="1.0" encoding="UTF-8" ?>
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<!--
 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 StreamingUpdateSolrServer
    java client.
  - Remember to run the JVM in server mode, and use a higher logging level
    that avoids logging every request
-->

<schema name="Temple Library Database Search" version="1.5">
  <!-- attribute "name" is the name of this schema and is only used for display purposes.
       Applications should change this to reflect the nature of the search collection.
       version="1.4" 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: default auto-phrase (QueryParser feature) to off
     -->

  <types>
    <!-- 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 the
       org.apache.solr.analysis package.
    -->

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

    <!-- boolean type: "true" or "false" -->
    <fieldType name="boolean" class="solr.BoolField" sortMissingLast="true" omitNorms="true"/>
    <!--Binary data type. The data should be sent/retrieved in as Base64 encoded Strings -->
    <fieldtype name="binary" class="solr.BinaryField"/>

    <!-- The optional sortMissingLast and sortMissingFirst attributes are
         currently supported on types that are sorted internally as strings
         and on numeric types.
	       This includes "string","boolean", and, as of 3.5 (and 4.x),
	       int, float, long, date, double, including the "Trie" variants.
       - 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"/>

      <fieldType name="int" class="solr.IntPointField" docValues="true"/>
      <fieldType name="float" class="solr.FloatPointField" docValues="true"/>
      <fieldType name="long" class="solr.LongPointField" docValues="true"/>
      <fieldType name="double" class="solr.DoublePointField" docValues="true"/>
      <fieldType name="date" class="solr.DatePointField" docValues="true"/>

      <fieldType name="pdate" class="solr.DatePointField" docValues="true"/>
      <fieldType name="pdates" class="solr.DatePointField" docValues="true" multiValued="true"/>

    <!-- 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
         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 name
     -->
    <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
     -->
     <fieldType name="text" class="solr.TextField" positionIncrementGap="100">
       <analyzer>
         <tokenizer class="solr.StandardTokenizerFactory"/>
         <filter class="solr.ICUFoldingFilterFactory" />
         <filter class="solr.SnowballPorterFilterFactory" language="English" />
       </analyzer>
     </fieldType>

    <!-- One can also specify an existing Analyzer class that has a
         default constructor via the class attribute on the analyzer element
    <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 type="index">
        <tokenizer class="solr.WhitespaceTokenizerFactory"/>
        <filter class="solr.SynonymGraphFilterFactory" synonyms="synonyms.txt" ignoreCase="true" expand="true"/>
        <filter class="solr.FlattenGraphFilterFactory"/>
        <filter class="solr.LowerCaseFilterFactory"/>
      </analyzer>
      <analyzer type="query">
        <tokenizer class="solr.WhitespaceTokenizerFactory"/>
        <filter class="solr.SynonymGraphFilterFactory" synonyms="synonyms.txt" ignoreCase="true" expand="true"/>
        <filter class="solr.LowerCaseFilterFactory"/>
      </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">
        <charFilter class="solr.MappingCharFilterFactory" mapping="char-filter-mapping.txt"/>
        <tokenizer class="solr.StandardTokenizerFactory"/>
        <filter class="solr.SynonymGraphFilterFactory" synonyms="synonyms.txt" ignoreCase="true" expand="true"/>
        <filter class="solr.FlattenGraphFilterFactory"/>
        <!-- The LowerCaseFilterFactory gives us better results by normalizing case. -->
        <filter class="solr.StopFilterFactory" ignoreCase="true" words="stopwords_en.txt" />
        <filter class="solr.LowerCaseFilterFactory"/>
      </analyzer>
      <analyzer type="query">
        <charFilter class="solr.MappingCharFilterFactory" mapping="char-filter-mapping.txt"/>
        <tokenizer class="solr.StandardTokenizerFactory"/>
        <filter class="solr.SynonymGraphFilterFactory" synonyms="synonyms.txt" ignoreCase="true" expand="true"/>
        <filter class="solr.StopFilterFactory" ignoreCase="true" words="stopwords_en.txt" />
        <filter class="solr.LowerCaseFilterFactory"/>
      </analyzer>
    </fieldType>

    <!-- A text field with defaults appropriate for English: it
         tokenizes with StandardTokenizer, removes English stop words
         (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">
        <charFilter class="solr.MappingCharFilterFactory" mapping="char-filter-mapping.txt"/>
        <tokenizer class="solr.StandardTokenizerFactory"/>
        <filter class="solr.SynonymGraphFilterFactory" synonyms="synonyms.txt" ignoreCase="true" expand="true"/>
        <filter class="solr.FlattenGraphFilterFactory"/>
        <filter class="solr.StopFilterFactory" ignoreCase="true" words="stopwords_en.txt" />
        <filter class="solr.LowerCaseFilterFactory"/>
        <filter class="solr.EnglishPossessiveFilterFactory"/>
        <filter class="solr.KeywordMarkerFilterFactory" protected="protwords.txt"/>
        <filter class="solr.PorterStemFilterFactory"/>
      </analyzer>

      <analyzer type="query">
        <charFilter class="solr.MappingCharFilterFactory" mapping="char-filter-mapping.txt"/>
        <tokenizer class="solr.StandardTokenizerFactory"/>
        <filter class="solr.SynonymGraphFilterFactory" synonyms="synonyms.txt" ignoreCase="true" expand="true"/>
        <filter class="solr.StopFilterFactory" ignoreCase="true" words="stopwords_en.txt" />
        <filter class="solr.LowerCaseFilterFactory"/>
        <filter class="solr.EnglishPossessiveFilterFactory"/>
        <filter class="solr.KeywordMarkerFilterFactory" protected="protwords.txt"/>
        <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".  However, other cases will still
	 not match, for example if the query is "wifi" and the
	 document is "wi fi" or if the query is "wi-fi" and the
	 document is "wifi".
        -->
    <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"/>
        -->
        <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"/>
      </analyzer>
      <analyzer type="query">
        <tokenizer class="solr.WhitespaceTokenizerFactory"/>
        <filter class="solr.SynonymGraphFilterFactory" synonyms="synonyms.txt" ignoreCase="true" expand="true"/>
        <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>
        <tokenizer class="solr.WhitespaceTokenizerFactory"/>
        <filter class="solr.SynonymGraphFilterFactory" synonyms="synonyms.txt" ignoreCase="true" expand="false"/>
        <filter class="solr.StopFilterFactory" ignoreCase="true" words="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.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.LowerCaseFilterFactory"/>
      </analyzer>
    </fieldType>

    <fieldType name="textSpell" class="solr.TextField" positionIncrementGap="100" >
      <analyzer>
        <tokenizer class="solr.StandardTokenizerFactory"/>
        <filter class="solr.StopFilterFactory" ignoreCase="true" words="stopwords.txt"/>
        <filter class="solr.LowerCaseFilterFactory"/>
        <filter class="solr.RemoveDuplicatesTokenFilterFactory"/>
      </analyzer>
    </fieldType>

    <fieldType class="solr.TextField" name="textSuggest" positionIncrementGap="100">
       <analyzer>
          <tokenizer class="solr.KeywordTokenizerFactory"/>
          <filter class="solr.LowerCaseFilterFactory"/>
          <filter class="solr.RemoveDuplicatesTokenFilterFactory"/>
       </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://java.sun.com/j2se/1.5.0/docs/api/java/util/regex/package-summary.html
          -->
        <filter class="solr.PatternReplaceFilterFactory"
                pattern="([^a-z])" replacement="" replace="all"
        />
      </analyzer>
    </fieldType>

    <fieldtype name="phonetic" stored="false" indexed="true" class="solr.TextField" >
      <analyzer>
        <tokenizer class="solr.StandardTokenizerFactory"/>
        <filter class="solr.DoubleMetaphoneFilterFactory" inject="false"/>
      </analyzer>
    </fieldtype>

    <fieldtype name="payloads" stored="false" indexed="true" class="solr.TextField" >
      <analyzer>
        <tokenizer class="solr.WhitespaceTokenizerFactory"/>
        <!--
        The DelimitedPayloadTokenFilter can put payloads on tokens... for example,
        a token of "foo|1.4"  would be indexed as "foo" with a payload of 1.4f
        Attributes of the DelimitedPayloadTokenFilterFactory :
         "delimiter" - a one character delimiter. Default is | (pipe)
	 "encoder" - how to encode the following value into a playload
	    float -> org.apache.lucene.analysis.payloads.FloatEncoder,
	    integer -> o.a.l.a.p.IntegerEncoder
	    identity -> o.a.l.a.p.IdentityEncoder
            Fully Qualified class name implementing PayloadEncoder, Encoder must have a no arg constructor.
         -->
        <filter class="solr.DelimitedPayloadTokenFilterFactory" encoder="float"/>
      </analyzer>
    </fieldtype>

    <!-- 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>

    <fieldType name="text_path" class="solr.TextField" positionIncrementGap="100">
      <analyzer>
        <tokenizer class="solr.PathHierarchyTokenizerFactory"/>
      </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"/>
 </types>

 <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.
   -->

   <!-- NOTE: this is not a full list of fields in the index; dynamic fields are also used -->
   <field name="id" type="string" indexed="true" stored="true" required="true" />
   <field name="_version_" type="long" indexed="true" stored="true" multiValued="false" />
   <field name="timestamp" type="date" indexed="true" stored="true" default="NOW" multiValued="false"/>

   <!-- default, catch all search field -->
   <field name="text" type="text" indexed="true" stored="false" multiValued="true"/>

   <!-- these display fields are NOT multi-valued -->
   <field name="availability_facet" type="string" indexed="true" stored="true" multiValued="true" />

   <!-- format is used for facet, display, and choosing which partial to use for the show view, so it must be stored and indexed -->
   <field name="format" type="string" indexed="true" stored="true" multiValued="true"/>
   <field name="record_creation_date" type="string" indexed="true" stored="true" multiValued="false"/>
   <field name="record_update_date" type="string" indexed="true" stored="true" multiValued="false"/>

   <!-- Dynamic field definitions.  If a field name is not found, dynamicFields
        will be used if the name matches any of the patterns.
        RESTRICTION: the glob-like pattern in the name attribute must have
        a "*" only at the start or the end.
        EXAMPLE:  name="*_i" will match any field ending in _i (like myid_i, z_i)
        Longer patterns will be matched first.  if equal size patterns
        both match, the first appearing in the schema will be used.  -->

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

   <dynamicField name="*_i"  type="int"    indexed="true"  stored="true"/>
   <dynamicField name="*_s"  type="string"  indexed="true"  stored="true"/>
   <dynamicField name="*_ms"  type="string"  indexed="true"  stored="true" multiValued="true"/>
   <dynamicField name="*_l"  type="long"   indexed="true"  stored="true"/>
   <dynamicField name="*_t"  type="text_en"    indexed="true"  stored="true" multiValued="true"/>
   <dynamicField name="*_txt" type="text_general"    indexed="true"  stored="true" multiValued="true"/>
   <dynamicField name="*_b"  type="boolean" indexed="true"  stored="true"/>
   <dynamicField name="*_f"  type="float"  indexed="true"  stored="true"/>
   <dynamicField name="*_d"  type="double" indexed="true"  stored="true"/>

   <!-- Type used to index the lat and lon components for the "location" FieldType -->
   <dynamicField name="*_coordinate"  type="pdouble" indexed="true"  stored="false"/>
   <dynamicField name="*_dt" type="date"    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" />

   <dynamicField name="*_facet" type="string" indexed="true" stored="false" multiValued="true" />
   <dynamicField name="*_sort" type="alphaOnlySort" indexed="true" stored="false" multiValued="false" />
   <dynamicField name="*_unstem_search" type="text_general" indexed="true" stored="false" multiValued="true" />
   <dynamicField name="*spell" type="textSpell" indexed="true" stored="false" multiValued="true" />
   <dynamicField name="*suggest" type="textSuggest" indexed="true" stored="false" multiValued="true" />

   <!-- 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" /-->

 </fields>

 <!-- 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>

 <!-- field for the QueryParser to use when an explicit fieldname is absent -->
 <df>text</df>

  <!-- 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.  -->
   <!-- Copy Fields -->

   <!-- unstemmed fields -->
   <copyField source="title_t" dest="title_unstem_search"/>
   <copyField source="title_statement_t" dest="title_statement_unstem_search"/>
   <copyField source="subject_display" dest="subject_unstem_search"/>
   <!-- <copyField source="author_addl_t" dest="author_addl_unstem_search"/> -->
   <copyField source="subject_t" dest="subject_unstem_search"/>

   <!-- sort fields  NOTE: no longer feasible with multiple dates -->
  <!--  <copyField source="pub_date" dest="pub_date_sort"/>  -->

   <copyField source="*_display" dest="text" />

 <!-- spellcheck fields -->
   <!-- default spell check;  should match fields for default request handler -->
   <!-- it won't work with a copy of a copy field -->
   <copyField source="*_t" dest="spell"/>
   <copyField source="*_facet" dest="spell"/>
   <!-- title spell check;  should match fields for title request handler -->
   <copyField source="title_t" dest="title_spell"/>
   <copyField source="subject_t" dest="subject_spell"/>

   <!-- search fields for advanced search form-->
   <copyField source="title_display" dest="title_t"/>
   <copyField source="note_display" dest="note_t"/>

   <!-- OpenSearch query field should match request handler search fields -->
   <copyField source="title_t" dest="opensearch_display"/>
   <copyField source="subject_t" dest="opensearch_display"/>

   <!-- for suggestions -->
   <copyField source="*_t" dest="suggest"/>
   <copyField source="*_facet" dest="suggest"/>

   <!-- 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"/> -->


 <!-- Similarity is the scoring routine for each document vs. a query.
      A custom similarity may be specified here, but the default is fine
      for most applications.  -->
 <!-- <similarity class="org.apache.lucene.search.DefaultSimilarity"/> -->
 <!-- ... OR ...
      Specify a SimilarityFactory class name implementation
      allowing parameters to be used.
 -->
 <!--
 <similarity class="com.example.solr.CustomSimilarityFactory">
   <str name="paramkey">param value</str>
 </similarity>
 -->

</schema>