solr7.1.0学习笔记(9)---配置文件managed-schema（schema.xml）-样例

<?xml version="1.0" encoding="UTF-8" ?>
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<schema name="example" version="1.6">
<!-- 字段名由字母数字和下划线组成，不能以数字开头。以下划线开头并且以下划线结尾的字段名是
保留字段名(e.g. _version_).
-->

<!-- 如果去除此字段，必须同时去掉solrconfig.xml中的update log。
_version_ and update log 在SolrCloud中是必须的。
作用类似于hibernate中的version字段，用于乐观锁。
-->
<field name="_version_" type="long" indexed="true" stored="false" />

<!-- 如果document中内嵌document，此需要此字段。用于内嵌的document指向其父document.
-->
<field name="_root_" type="string" indexed="true" stored="false" docValues="false" />

<!-- 除非你有很充足的理由，否则不要去除"id"字段.
不要改变type属性， 不要对<uniqueKey>对应的字段进行索引时分析。 -->
<field name="id" type="string" indexed="true" stored="true" required="true" multiValued="false" />

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

<field name="weight" type="float" indexed="true" stored="true"/>
<field name="price"  type="float" indexed="true" stored="true"/>
<field name="popularity" type="int" indexed="true" stored="true" />
<field name="inStock" type="boolean" indexed="true" stored="true" />

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

<!-- 以下字段为解析word,PDF此类富文本所需要的字段。一些multiValued="true"的字段是因为Tika返回
就是多个值。
一些字段来自于客户端的上下文：
"content_type": 来自 HTTP headers of incoming stream
"resourcename": From SolrCell request param resource.name
如果你的应用不需要解析诸如此类的文本，则这些字段定义都不需要
-->
<field name="title" type="text_general" indexed="true" stored="true" multiValued="true"/>
<field name="subject" type="text_general" indexed="true" stored="true"/>
<field name="description" type="text_general" indexed="true" stored="true"/>
<field name="comments" type="text_general" indexed="true" stored="true"/>
<field name="author" type="text_general" indexed="true" stored="true"/>
<field name="keywords" type="text_general" indexed="true" stored="true"/>
<field name="category" type="text_general" indexed="true" stored="true"/>
<field name="resourcename" type="text_general" indexed="true" stored="true"/>
<field name="url" type="text_general" indexed="true" stored="true"/>
<field name="content_type" type="string" indexed="true" stored="true" multiValued="true"/>
<field name="last_modified" type="date" indexed="true" stored="true"/>
<field name="links" type="string" indexed="true" stored="true" multiValued="true"/>
<field name="_src_" type="string" indexed="false" stored="true"/>

<!-- 以下为SolrCell解析出的word，PDF等文件的主体内容.
如下定义，可用于高亮显示搜索匹配的内容 -->
<field name="content" type="text_general" indexed="false" stored="true" multiValued="true"/>

<!-- 定义一个字段来包含所有可搜索的字段 （通过copyField 实现）  -->
<field name="text" type="text_general" indexed="true" stored="false" multiValued="true"/>

<!-- 定义一个字段用于正反向索引分词，有利于提高通配符搜索. -->
<field name="text_rev" type="text_general_rev" indexed="true" stored="false" multiValued="true"/>

<!--  不进行分词的 manufacturer， 为了更容易地对manufacturer进行排序或分组 -->
<field name="manu_exact" type="string" indexed="true" stored="false" docValues="false" />

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

<!-- 动态字段定义，用于方便地配置所有匹配pattern的字段.
例如:  name="*_i" 将匹配所有以 _i 结尾的字段(如：myid_i, z_i)
限制: "*" 必须只出现在开始或结尾 -->

<dynamicField name="*_i"  type="int"    indexed="true"  stored="true"/>
<dynamicField name="*_is" type="int"    indexed="true"  stored="true"  multiValued="true"/>
<dynamicField name="*_s"  type="string"  indexed="true"  stored="true" />
<dynamicField name="*_ss" type="string"  indexed="true"  stored="true" multiValued="true"/>
<dynamicField name="*_l"  type="long"   indexed="true"  stored="true"/>
<dynamicField name="*_ls" type="long"   indexed="true"  stored="true"  multiValued="true"/>
<dynamicField name="*_t"  type="text_general"    indexed="true"  stored="true"/>
<dynamicField name="*_txt" type="text_general"   indexed="true"  stored="true" multiValued="true"/>
<dynamicField name="*_en"  type="text_en"    indexed="true"  stored="true" multiValued="true"/>
<dynamicField name="*_b"  type="boolean" indexed="true" stored="true"/>
<dynamicField name="*_bs" type="boolean" indexed="true" stored="true"  multiValued="true"/>
<dynamicField name="*_f"  type="float"  indexed="true"  stored="true"/>
<dynamicField name="*_fs" type="float"  indexed="true"  stored="true"  multiValued="true"/>
<dynamicField name="*_d"  type="double" indexed="true"  stored="true"/>
<dynamicField name="*_ds" type="double" indexed="true"  stored="true"  multiValued="true"/>

<!-- 用于索引"位置"字段类型的经度和纬度-->
<dynamicField name="*_coordinate"  type="tdouble" indexed="true"  stored="false" useDocValuesAsStored="false" />

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

<!-- 用于加快范围查询 -->
<dynamicField name="*_ti" type="tint"    indexed="true"  stored="true"/>
<dynamicField name="*_tl" type="tlong"   indexed="true"  stored="true"/>
<dynamicField name="*_tf" type="tfloat"  indexed="true"  stored="true"/>
<dynamicField name="*_td" type="tdouble" indexed="true"  stored="true"/>
<dynamicField name="*_tdt" type="tdate"  indexed="true"  stored="true"/>

<dynamicField name="*_c"   type="currency" indexed="true"  stored="true"/>

<dynamicField name="ignored_*" type="ignored" multiValued="true"/>
<dynamicField name="attr_*" type="text_general" indexed="true" stored="true" multiValued="true"/>

<dynamicField name="random_*" type="random" />

<!-- 去掉下面的注释，将会忽略所有未定义或者不匹配动态字段的字段。否则会抛错。
如果想把未知字段自动索引或/并存储，把type="ignored" 改成其它的类型（e.g. "text"）， -->
<!--dynamicField name="*" type="ignored" multiValued="true" /-->

<!-- 标识document唯一的字段   -->
<uniqueKey>id</uniqueKey>

<!-- copyField 用于在把documnet添加到索引时，copy一个字段的内容到另外一个字段。这样可以对相同的字段进行不同的索引，
或者把多个字段copy到同一个字段以简化/加快搜索  -->

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

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

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

<!-- 创建一个 string 版本的author 用于分组(facet)。例如：作者是"Mike Jackson", 则索引时，会进行分词，即
把 Mike 和 Jackson 分开进行索引，但是我们进行facet搜索时，需要把Mike和Jackson作为一个整体进行搜索，这就
需要把它们做为一个整体进行索引，type="string"的字段类型会对内容作为整体进行索引。 -->
<copyField source="author" dest="author_s"/>

<!-- "name" 属性值用于field 定义里的 type 属性值
"class"
eaec
属性值决定了fieldType的真正行为.
Class 以"solr"开头，表示的是java类所在包的包名缩写（比如： org.apache.solr.analysis）
-->

<!-- StrField 类型的field，其值会做为一个整体进行存储或索引。如果设置了docValues为true, 则必须确保此
field是单值的并且不为空。
-->
<fieldType name="string" class="solr.StrField" sortMissingLast="true" />

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

<!-- 默认的数字类型。想要更快的范围搜索，考虑使用 tint/tfloat/tlong/tdouble .
支持docValues，但是必须确保其单值并且不为空。
-->
<fieldType name="int" class="solr.TrieIntField" docValues="true" precisionStep="0" positionIncrementGap="0"/>
<fieldType name="float" class="solr.TrieFloatField" docValues="true" precisionStep="0" positionIncrementGap="0"/>
<fieldType name="long" class="solr.TrieLongField" docValues="true" precisionStep="0" positionIncrementGap="0"/>
<fieldType name="double" class="solr.TrieDoubleField" docValues="true" precisionStep="0" positionIncrementGap="0"/>

<!-- 以下数字类型的field, 将在各个精度等级保存其值，用于加快范围搜索。详见 NumericRangeQuery 的javadoc

较小的 precisionStep 值意味着更细粒度的精度等级，会少量增加索引文件大小，便是范围搜索会更快
precisionStep 为 0 的话，不会生成精度等级。
-->
<fieldType name="tint" class="solr.TrieIntField" docValues="true" precisionStep="8" positionIncrementGap="0"/>
<fieldType name="tfloat" class="solr.TrieFloatField" docValues="true" precisionStep="8" positionIncrementGap="0"/>
<fieldType name="tlong" class="solr.TrieLongField" docValues="true" precisionStep="8" positionIncrementGap="0"/>
<fieldType name="tdouble" class="solr.TrieDoubleField" docValues="true" precisionStep="8" positionIncrementGap="0"/>

<!-- 日期字段的格式是 1995-12-31T23:59:59Z, 这是日期时间类型更加严格和权威的表示方法

结尾的"Z" 表示 UTC 时间，这是必须的。
秒可以有小数部分: 1995-12-31T23:59:59.999Z

表达示可以用来相对于"NOW"的计算值, 如...

NOW/HOUR ：精确到小时
NOW-1DAY ：比现在少一天的时间
NOW/DAY+6MONTHS+3DAYS：现在以后的6个月再加上3天
-->
<fieldType name="date" class="solr.TrieDateField" docValues="true" precisionStep="0" positionIncrementGap="0"/>

<!-- 类似于数字类型中的说明 -->
<fieldType name="tdate" class="solr.TrieDateField" docValues="true" precisionStep="6" positionIncrementGap="0"/>

<!--数据必须以Base64 编码进行发送/接收 -->
<fieldType name="binary" class="solr.BinaryField"/>

<!-- solr.TextField 允许自定义分词器和过滤器。索引时和查询时的分词器可以不同。
　　　　　 详见 http://wiki.apache.org/solr/AnalyzersTokenizersTokenFilters -->

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

<!-- 具有stopwords 和 synonyms 过滤器的标准分词器的fieldType -->
<fieldType name="managed_en" class="solr.TextField" positionIncrementGap="100">
<analyzer>
<tokenizer class="solr.StandardTokenizerFactory"/>
<filter class="solr.ManagedStopFilterFactory" managed="english" />
<filter class="solr.ManagedSynonymFilterFactory" managed="english" />
</analyzer>
</fieldType>

<!-- 普通的文本 fieldType
StandardTokenizer, 移除"stopwords.txt"中指定的词(忽略大小写)
-->
<fieldType name="text_general" class="solr.TextField" positionIncrementGap="100">
<analyzer type="index">
<tokenizer class="solr.StandardTokenizerFactory"/>
<filter class="solr.StopFilterFactory" ignoreCase="true" words="stopwords.txt" />
<!-- 本例中，我们只在查询时应用同义词
<filter class="solr.SynonymFilterFactory" synonyms="index_synonyms.txt" ignoreCase="true" expand="false"/>
-->
<filter class="solr.LowerCaseFilterFactory"/>
</analyzer>
<analyzer type="query">
<tokenizer class="solr.StandardTokenizerFactory"/>
<filter class="solr.StopFilterFactory" ignoreCase="true" words="stopwords.txt" />
<filter class="solr.SynonymFilterFactory" synonyms="synonyms.txt" ignoreCase="true" expand="true"/>
<filter class="solr.LowerCaseFilterFactory"/>
</analyzer>
</fieldType>

<!-- 适用于英文的field类型: StandardTokenizer, 去除英文 stop words(lang/stopwords_en.txt),
转换成小写, 进行词根化处理（如：stopping会被转化成stop进行索引），但是 protwords.txt中指定的词不会被转化。  -->
<fieldType name="text_en" class="solr.TextField" positionIncrementGap="100">
<analyzer type="index">
<tokenizer class="solr.StandardTokenizerFactory"/>
<!-- in this example, we will only use synonyms at query time
<filter class="solr.SynonymFilterFactory" synonyms="index_synonyms.txt" ignoreCase="true" expand="false"/>
-->
<!-- Case insensitive stop word removal.
-->
<filter class="solr.StopFilterFactory"
ignoreCase="true"
words="lang/stopwords_en.txt" />
<filter class="solr.LowerCaseFilterFactory"/>
<filter class="solr.EnglishPossessiveFilterFactory"/>
<filter class="solr.KeywordMarkerFilterFactory" protected="protwords.txt"/>
<!-- Optionally you may want to use this less aggressive stemmer instead of PorterStemFilterFactory:
<filter class="solr.EnglishMinimalStemFilterFactory"/>
-->
<filter class="solr.PorterStemFilterFactory"/>
</analyzer>
<analyzer type="query">
<tokenizer class="solr.StandardTokenizerFactory"/>
<filter class="solr.SynonymFilterFactory" synonyms="synonyms.txt" ignoreCase="true" expand="true"/>
<filter class="solr.StopFilterFactory"
ignoreCase="true"
words="lang/stopwords_en.txt"/>
<filter class="solr.LowerCaseFilterFactory"/>
<filter class="solr.EnglishPossessiveFilterFactory"/>
<filter class="solr.KeywordMarkerFilterFactory" protected="protwords.txt"/>
<!-- Optionally you may want to use this less aggressive stemmer instead of PorterStemFilterFactory:
<filter class="solr.EnglishMinimalStemFilterFactory"/>
-->
<filter class="solr.PorterStemFilterFactory"/>
</analyzer>
</fieldType>

<!-- 下面的fieldType只是比上面的"text_en"多加了一个WordDelimiterFilter。
WordDelimiterFilter 的作用是把大小写有变化的词、数字和字母组合的词分开索引。这样的话，如果我们搜索"wi fi"，
"WiFi" 和 "wi-fi"都会认为是匹配的。
-->
<fieldType name="text_en_splitting" class="solr.TextField" positionIncrementGap="100" autoGeneratePhraseQueries="true">
<analyzer type="index">
<tokenizer class="solr.WhitespaceTokenizerFactory"/>
<!-- in this example, we will only use synonyms at query time
<filter class="solr.SynonymFilterFactory" synonyms="index_synonyms.txt" ignoreCase="true" expand="false"/>
-->
<!-- Case insensitive stop word removal. -->
<filter class="solr.StopFilterFactory"
ignoreCase="true"
words="lang/stopwords_en.txt"
/>
<filter class="solr.WordDelimiterFilterFactory" generateWordParts="1" generateNumberParts="1"
catenateWords="1" catenateNumbers="1" catenateAll="0" splitOnCaseChange="1"/>
<filter class="solr.LowerCaseFilterFactory"/>
<filter class="solr.KeywordMarkerFilterFactory" protected="protwords.txt"/>
<filter class="solr.PorterStemFilterFactory"/>
</analyzer>
<analyzer type="query">
<tokenizer class="solr.WhitespaceTokenizerFactory"/>
<filter class="solr.SynonymFilterFactory" synonyms="synonyms.txt" ignoreCase="true" expand="true"/>
<filter class="solr.StopFilterFactory"
ignoreCase="true"
words="lang/stopwords_en.txt"  />
<filter class="solr.WordDelimiterFilterFactory" generateWordParts="1" generateNumberParts="1"
catenateWords="0" catenateNumbers="0" catenateAll="0" splitOnCaseChange="1"/>
<filter class="solr.LowerCaseFilterFactory"/>
<filter class="solr.KeywordMarkerFilterFactory" protected="protwords.txt"/>
<filter class="solr.PorterStemFilterFactory"/>
</analyzer>
</fieldType>

<!-- 下面的例子展示了一个不容易匹配，因此也不容易出现匹配错误的fieldType.  应用于Solr示例中的SKU的值会比较好. -->
<fieldType name="text_en_splitting_tight" class="solr.TextField" positionIncrementGap="100" autoGeneratePhraseQueries="true">
<analyzer>
<tokenizer class="solr.WhitespaceTokenizerFactory"/>
<filter class="solr.SynonymFilterFactory" synonyms="synonyms.txt" ignoreCase="true" expand="false"/>
<filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_en.txt"/>
<filter class="solr.WordDelimiterFilterFactory" generateWordParts="0" generateNumberParts="0" catenateWords="1" catenateNumbers="1" catenateAll="0"/>
<filter class="solr.LowerCaseFilterFactory"/>
<filter class="solr.KeywordMarkerFilterFactory" protected="protwords.txt"/>
<filter class="solr.EnglishMinimalStemFilterFactory"/>
<!-- this filter can remove any duplicate tokens that appear at the same position - sometimes
possible with WordDelimiterFilter in conjuncton with stemming. -->
<filter class="solr.RemoveDuplicatesTokenFilterFactory"/>
</analyzer>
</fieldType>

<!-- 与text_general 相似，另外增加了一个功能：把每个分词进行反转，这样会使以通配符开头的查询会更快. -->
<fieldType name="text_general_rev" class="solr.TextField" positionIncrementGap="100">
<analyzer type="index">
<tokenizer class="solr.StandardTokenizerFactory"/>
<filter class="solr.StopFilterFactory" ignoreCase="true" words="stopwords.txt" />
<filter class="solr.LowerCaseFilterFactory"/>
<filter class="solr.ReversedWildcardFilterFactory" withOriginal="true"
maxPosAsterisk="3" maxPosQuestion="2" maxFractionAsterisk="0.33"/>
</analyzer>
<analyzer type="query">
<tokenizer class="solr.StandardTokenizerFactory"/>
<filter class="solr.SynonymFilterFactory" synonyms="synonyms.txt" ignoreCase="true" expand="true"/>
<filter class="solr.StopFilterFactory" ignoreCase="true" words="stopwords.txt" />
<filter class="solr.LowerCaseFilterFactory"/>
</analyzer>
</fieldType>

<!-- 使用 KeywordTokenizer 和各种 TokenFilterFactories的fieldType， 对可排序的字段，在排序时去掉一些内容
比如： field内容为 123test, 排序时，去掉前面的数字进行排序
-->
<fieldType name="alphaOnlySort" class="solr.TextField" sortMissingLast="true" omitNorms="true">
<analyzer>
<!-- KeywordTokenizer 不进行实际的分词，即输入的字符串将被认为是单个分词-->
<tokenizer class="solr.KeywordTokenizerFactory"/>
<!-- The LowerCase TokenFilter does what you expect, which can be
when you want your sorting to be case insensitive
-->
<filter class="solr.LowerCaseFilterFactory" />
<!-- The TrimFilter removes any leading or trailing whitespace -->
<filter class="solr.TrimFilterFactory" />
<!-- PatternReplaceFilter 用正则表达示去替换文本中的内容
详见 http://docs.oracle.com/javase/8/docs/api/java/util/regex/package-summary.html -->
<filter class="solr.PatternReplaceFilterFactory"
pattern="([^a-z])" replacement="" replace="all" />
</analyzer>
</fieldType>

<!--
Example of using PathHierarchyTokenizerFactory at index time, so
queries for paths match documents at that path, or in descendent paths
-->
<fieldType name="descendent_path" class="solr.TextField">
<analyzer type="index">
<tokenizer class="solr.PathHierarchyTokenizerFactory" delimiter="/" />
</analyzer>
<analyzer type="query">
<tokenizer class="solr.KeywordTokenizerFactory" />
</analyzer>
</fieldType>

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

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

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

<!-- Solr 4开始新增的一个表示地理位置的 fieldType. 支持 multiValued and polygon shapes.
For more information about this and other Spatial fields new to Solr 4, see: http://wiki.apache.org/solr/SolrAdaptersForLuceneSpatial4 -->
<fieldType name="location_rpt" class="solr.SpatialRecursivePrefixTreeFieldType"
geo="true" distErrPct="0.025" maxDistErr="0.001" distanceUnits="kilometers" />

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

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

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

<!-- CJK bigram (see text_ja for a Japanese configuration using morphological analysis) -->
<fieldType name="text_cjk" class="solr.TextField" positionIncrementGap="100">
<analyzer>
<tokenizer class="solr.StandardTokenizerFactory"/>
<!-- normalize width before bigram, as e.g. half-width dakuten combine  -->
<filter class="solr.CJKWidthFilterFactory"/>
<!-- for any non-CJK -->
<filter class="solr.LowerCaseFilterFactory"/>
<filter class="solr.CJKBigramFilterFactory"/>
</analyzer>
</fieldType>

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

</schema>