Software Público Brasileiro

<?xml version="1.0" encoding="UTF-8" ?>
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 See the License for the specific language governing permissions and
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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
-->

<schema name="sei-publicacoes" version="1.5">
  <!-- 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...)
     -->

  <field name="id_pub" type="int" indexed="true" stored="true" />
  <field name="id_pub_leg" type="int" indexed="true" stored="true" />
  <field name="id_doc" type="long" indexed="true" stored="true" />
  <field name="id_proc" type="long" indexed="true" stored="true" />
  <field name="id_prot_agrup" type="long" indexed="true" stored="true" />
  <field name="id_org_resp" type="int" indexed="true" stored="true" />
  <field name="id_uni_resp" type="int" indexed="true" stored="true" />
  <field name="id_serie" type="int" indexed="true" stored="true" />
  <field name="numero" type="text_general" indexed="true" stored="true" />
  <field name="prot_proc" type="string" indexed="true" stored="true" />
  <field name="prot_pesq" type="string" indexed="true" stored="true" />
  <field name="prot_doc" type="string" indexed="true" stored="true" />
  <field name="dta_doc" type="date" indexed="true" stored="true" />
  <field name="dta_pub" type="date" indexed="true" stored="true" />
  <field name="num_pub" type="string" indexed="true" stored="true" />
  <field name="id_veic_pub" type="int" indexed="true" stored="true" />
  <field name="resumo" type="text_general" indexed="true" stored="true" />
  <field name="id_veic_io" type="int" indexed="true" stored="true" />
  <field name="dta_pub_io" type="date" indexed="true" stored="true" />
  <field name="id_sec_io" type="int" indexed="true" stored="true" />
  <field name="pag_io" type="string" indexed="false" 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_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"/>

  <!-- 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"/>


  <!-- Uncommenting the following will create a "timestamp" field using
       a default value of "NOW" to indicate when each document was indexed.
    -->
  <!--
  <field name="timestamp" type="date" indexed="true" stored="true" default="NOW" multiValued="false"/>
    -->
  <!-- Valid attributes for fields:
    name: mandatory - the name for the field
    type: mandatory - the name of a field type from the
      <types> fieldType section
    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 for faceting, grouping, sorting and function queries. Although not
      required, 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
      and all Trie*Fields, 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.
    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
  -->
  <field name="_version_" type="long" indexed="true" stored="true"/>

  <!-- 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"/>

  <!-- 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" />

  <!-- 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="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"/>

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

  <!-- some trie-coded dynamic fields for faster range queries -->
  <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" />

  <!-- 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.  -->

  <!-- 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.
     It supports doc values but in that case the field needs to be
     single-valued and either required or have a default value.
    -->
  <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", 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.
  -->

  <!--
    Default numeric field types. For faster range queries, consider the tint/tfloat/tlong/tdouble types.

    These fields support doc values, but they require the field to be
    single-valued and either be required or have a default value.
  -->
  <fieldType name="int" class="solr.TrieIntField" precisionStep="0" positionIncrementGap="0"/>
  <fieldType name="float" class="solr.TrieFloatField" precisionStep="0" positionIncrementGap="0"/>
  <fieldType name="long" class="solr.TrieLongField" precisionStep="0" positionIncrementGap="0"/>
  <fieldType name="double" class="solr.TrieDoubleField" precisionStep="0" positionIncrementGap="0"/>

  <!--
   Numeric field types that index each value at various levels of precision
   to accelerate range queries when the number of values between the range
   endpoints is large. See the javadoc for NumericRangeQuery for internal
   implementation details.

   Smaller precisionStep values (specified in bits) will lead to more tokens
   indexed per value, slightly larger index size, and faster range queries.
   A precisionStep of 0 disables indexing at different precision levels.
  -->
  <fieldType name="tint" class="solr.TrieIntField" precisionStep="8" positionIncrementGap="0"/>
  <fieldType name="tfloat" class="solr.TrieFloatField" precisionStep="8" positionIncrementGap="0"/>
  <fieldType name="tlong" class="solr.TrieLongField" precisionStep="8" positionIncrementGap="0"/>
  <fieldType name="tdouble" class="solr.TrieDoubleField" precisionStep="8" positionIncrementGap="0"/>

  <!-- 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 TrieDateField javadocs for more information.

       Note: For faster range queries, consider the tdate type
    -->
  <fieldType name="date" class="solr.TrieDateField" precisionStep="0" positionIncrementGap="0"/>

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


  <!--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 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.WhitespaceTokenizerFactory"/>
      <filter class="solr.WordDelimiterFilterFactory" generateWordParts="1" generateNumberParts="1" catenateWords="1" catenateNumbers="0" catenateAll="0" splitOnCaseChange="1" preserveOriginal="1"/> -->
      <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_pt.txt" />
      <filter class="solr.LowerCaseFilterFactory"/>
      <filter class="solr.ASCIIFoldingFilterFactory"/>
    </analyzer>

    <analyzer type="query">
      <tokenizer class="solr.WhitespaceTokenizerFactory"/>
      <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_pt.txt" />
      <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.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>

  <!-- 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
 WordDelimiterFilter 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.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>

  <!-- 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.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>

  <!-- 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.SynonymFilterFactory" synonyms="synonyms.txt" ignoreCase="true" expand="true"/>
      <filter class="solr.StopFilterFactory" ignoreCase="true" words="stopwords.txt" />
      <filter class="solr.LowerCaseFilterFactory"/>
    </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/7/docs/api/java/util/regex/package-summary.html
        -->
      <filter class="solr.PatternReplaceFilterFactory"
              pattern="([^a-z])" replacement="" replace="all"
          />
    </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>

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

  <!-- 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="_bbox_coord" />
  <fieldType name="_bbox_coord" class="solr.TrieDoubleField" precisionStep="8" docValues="true" stored="false"/>

  <!-- Money/currency field type. See http://wiki.apache.org/solr/MoneyFieldType
       Parameters:
         defaultCurrency: Specifies the default currency if none specified. Defaults to "USD"
         precisionStep:   Specifies the precisionStep for the TrieLong field used for the amount
         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" />

</schema>