D-Net

		1.0   : updated to solr 6.6.0

		<schema name="dnet" version="1.0">

			<!-- Valid attributes for fields:

			 name: mandatory - the name for the field

			 type: mandatory - the name of a field type from the

			   fieldTypes 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 (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 Trie*Fields and *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.

			 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.

			-->

			<xsl:for-each select="./FIELD">

				<xsl:variable name="fieldname" select="translate(@name, $uppercase, $smallcase)"/>

				<xsl:variable name="fieldtype">

					<xsl:choose>

						<xsl:when test="@type='int'">pint</xsl:when>

						<xsl:when test="@type='date'">pdate</xsl:when>

						<xsl:when test="@type='ngramtext'">ngramtext</xsl:when>

						<xsl:when test="@type='string_ci'">string_ci</xsl:when>

						<xsl:when test="@tokenizable='false'">string</xsl:when>

						<xsl:otherwise>

							<xsl:value-of select="$textFieldType"/>

						</xsl:otherwise>

					</xsl:choose>

				</xsl:variable>

				<xsl:variable name="isMultivalued">

					<xsl:choose>

						<xsl:when test="@multivalued='false'">false</xsl:when>

						<xsl:otherwise>true</xsl:otherwise>

					</xsl:choose>

				</xsl:variable>

				<xsl:variable name="isStored">

					<xsl:choose>

						<xsl:when test="@stored='true'">true</xsl:when>

						<xsl:otherwise>false</xsl:otherwise>

					</xsl:choose>

				</xsl:variable>

				<field name="{$fieldname}" type="{$fieldtype}" indexed="{@indexable}" stored="{normalize-space($isStored)}" multiValued="{normalize-space($isMultivalued)}"/>

			</xsl:for-each>

			<field name="__indexrecordidentifier" type="string" indexed="true" stored="true" multiValued="false" required="true"/>

			<field name="__deleted" type="boolean" indexed="true" stored="false" default="false" omitNorms="true" omitTermFreqAndPositions="true"/>

			<field name="__dsid" type="string" indexed="true" stored="true" omitNorms="true" omitTermFreqAndPositions="true"/>

			<field name="__dsversion" type="pdate" indexed="true" stored="true" omitNorms="true" omitTermFreqAndPositions="true"/>

			<field name="__result" type="binary" indexed="false" stored="true" multiValued="false"/>

			<field name="__all" type="{$textFieldType}" indexed="true" stored="false" multiValued="true"/>

			<field name="_version_" type="long" indexed="true" stored="true" multiValued="false" />

			<field name="_root_" type="string" indexed="true" stored="false" docValues="false" />

			<!-- field for ping -->

			<field name="text" type="{$textFieldType}" indexed="false" stored="false"/>

			<!-- Field to use to determine and enforce document uniqueness.

				 Unless this field is marked with required="false", it will be a required field

			  -->

			<uniqueKey>__indexrecordidentifier</uniqueKey>

			<xsl:for-each select="./FIELD[(@type = 'ngramtext' or not(@type)) and not(@tokenizable = 'false')]">

				<xsl:variable name="fieldname" select="translate(@name, $uppercase, $smallcase)"/>

				<copyField source="{$fieldname}" dest="__all"/>

			</xsl:for-each>

			<!-- 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="sourceFieldName" dest="destinationFieldName"/>

			-->

			<!-- 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" docValues="true" />

			<fieldType name="strings" class="solr.StrField" sortMissingLast="true" multiValued="true" docValues="true" />

			<!-- boolean type: "true" or "false" -->

			<fieldType name="boolean" class="solr.BoolField" sortMissingLast="true"/>

			<fieldType name="booleans" class="solr.BoolField" sortMissingLast="true" multiValued="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", "int", "float", "long", "date", "double",

				 including the "Trie" and "Point" 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 are faster and more efficient than Trie* fields both, at

			  search time and at index time, but some features are still not supported.

			  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"/>

			<!--

			  Default numeric field types. For faster range queries, consider *PointFields (pint/pfloat/plong/pdouble), or the

			  tint/tfloat/tlong/tdouble types.

			-->

			<fieldType name="int" class="solr.TrieIntField" docValues="true" precisionStep="0" positionIncrementGap="0"/>

			<fieldType name="float" class="solr.TrieFloatField" docValues="true" precisionStep="0" positionIncrementGap="0"/>

			<fieldType name="long" class="solr.TrieLongField" docValues="true" precisionStep="0" positionIncrementGap="0"/>

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

			<fieldType name="ints" class="solr.TrieIntField" docValues="true" precisionStep="0" positionIncrementGap="0" multiValued="true"/>

			<fieldType name="floats" class="solr.TrieFloatField" docValues="true" precisionStep="0" positionIncrementGap="0" multiValued="true"/>

			<fieldType name="longs" class="solr.TrieLongField" docValues="true" precisionStep="0" positionIncrementGap="0" multiValued="true"/>

			<fieldType name="doubles" class="solr.TrieDoubleField" docValues="true" precisionStep="0" positionIncrementGap="0" multiValued="true"/>

			<!--

			 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.

			 Consider using pint/pfloat/plong/pdouble instead of Trie* fields if possible

			-->

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

			<fieldType name="tfloat" class="solr.TrieFloatField" docValues="true" precisionStep="8" positionIncrementGap="0"/>

			<fieldType name="tlong" class="solr.TrieLongField" docValues="true" precisionStep="8" positionIncrementGap="0"/>

			<fieldType name="tdouble" class="solr.TrieDoubleField" docValues="true" precisionStep="8" positionIncrementGap="0"/>

			<fieldType name="tints" class="solr.TrieIntField" docValues="true" precisionStep="8" positionIncrementGap="0" multiValued="true"/>

			<fieldType name="tfloats" class="solr.TrieFloatField" docValues="true" precisionStep="8" positionIncrementGap="0" multiValued="true"/>

			<fieldType name="tlongs" class="solr.TrieLongField" docValues="true" precisionStep="8" positionIncrementGap="0" multiValued="true"/>

			<fieldType name="tdoubles" class="solr.TrieDoubleField" docValues="true" precisionStep="8" positionIncrementGap="0" 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 TrieDateField 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"/>

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

			<fieldType name="dates" class="solr.TrieDateField" docValues="true" precisionStep="0" positionIncrementGap="0" multiValued="true"/>

			<fieldType name="tdate" class="solr.TrieDateField" docValues="true" precisionStep="6" positionIncrementGap="0"/>

			<fieldType name="tdates" class="solr.TrieDateField" docValues="true" precisionStep="6" positionIncrementGap="0" 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 -->

			<!-- <dynamicField name="*_ws" type="text_ws"  indexed="true"  stored="true"/> -->

			<fieldType name="text_ws" class="solr.TextField" positionIncrementGap="100">

				<analyzer>

					<tokenizer class="solr.WhitespaceTokenizerFactory"/>

				</analyzer>

			</fieldType>

			<fieldType name="ngramtext" class="solr.TextField">

				<analyzer type="index">

					<tokenizer class="solr.KeywordTokenizerFactory"/>

					<filter class="solr.LowerCaseFilterFactory"/>

					<filter class="solr.NGramFilterFactory" minGramSize="3" maxGramSize="25"/>

					<filter class="solr.TrimFilterFactory"/>

					<filter class="solr.RemoveDuplicatesTokenFilterFactory"/>

				</analyzer>

				<analyzer type="query">

					<tokenizer class="solr.KeywordTokenizerFactory"/>

					<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_common" class="solr.TextField" positionIncrementGap="100" multiValued="true">

				<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>

			<!-- 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. -->

			<!-- <dynamicField name="*_txt_en" type="text_en"  indexed="true"  stored="true"/> -->

			<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="stopwords.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="stopwords.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".

			-->

			<!-- <dynamicField name="*_txt_en_split" type="text_en_splitting"  indexed="true"  stored="true"/> -->

			<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="stopwords.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="stopwords.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. -->

			<!-- <dynamicField name="*_txt_en_split_tight" type="text_en_splitting_tight"  indexed="true"  stored="true"/> -->

			<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="stopwords.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="stopwords.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_common except it reverses the characters of

				   each token, to enable more efficient leading wildcard queries.

			-->

			<!-- <dynamicField name="*_txt_rev" type="text_common_rev"  indexed="true"  stored="true"/> -->

			<fieldType name="text_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>

			<!-- <dynamicField name="*_phon_en" type="phonetic_en"  indexed="true"  stored="true"/> -->

			<fieldType name="phonetic_en" stored="false" indexed="true" class="solr.TextField" >

				<analyzer>

					<tokenizer class="solr.StandardTokenizerFactory"/>

					<filter class="solr.DoubleMetaphoneFilterFactory" inject="false"/>

				</analyzer>

			</fieldType>

			<!-- lowercases the entire field value, keeping it as a single token.  -->

			<!-- <dynamicField name="*_s_lower" type="lowercase"  indexed="true"  stored="true"/> -->

			<fieldType name="lowercase" class="solr.TextField" positionIncrementGap="100">

				<analyzer>

					<tokenizer class="solr.KeywordTokenizerFactory" />

					<filter class="solr.LowerCaseFilterFactory" />

				</analyzer>

			</fieldType>

			<fieldType name="string_ci" class="solr.TextField" sortMissingLast="true" omitNorms="true">

				<analyzer type="query">

					<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

			-->

			<!-- <dynamicField name="*_descendent_path" type="descendent_path"  indexed="true"  stored="true"/> -->

			<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

			-->

			<!-- <dynamicField name="*_ancestor_path" type="ancestor_path"  indexed="true"  stored="true"/> -->

			<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" docValues="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.

			 -->

			<!-- <dynamicField name="*_point" type="point"  indexed="true"  stored="true"/> -->

			<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" />