全文搜索引擎——Solr

1.部署solr

　　a.下载并解压Solr

　　b.导入项目（独立项目）：

　　　　将解压后的 server\solr-webapp 下的 webapp文件夹 拷贝到tomcat的webapps下，并重命名为 solr

　　c.加入jar包 及 log4j配置：

　　　　将解压后的 server\lib\ext 下的所有 jar包 拷贝到 tomcat下solr项目的 lib中

　　　　将解压后的 server\lib 下的所有 metrics 开头的 jar包 拷贝到 tomcat下solr项目的 lib中

　　　　将解压后的 dist 下的 solr-dataimporthandler-7.2.1.jar 和 solr-dataimporthandler-extras-7.2.1.jar 也拷贝到 tomcat下solr项目的 lib中

　　　　将解压后的 server\resources 下的  log4j.properties  拷贝到 tomcat下solr项目的 WEB-INF\classes 中

　　d.创建solrHome

　　　　将解压的 server 下的 solr 文件夹 拷贝出来（根据自己情况拷贝到常用工具文件夹中），并重命名（solrHome7\solrHome）

　　e.修改web.xml 指向 solrHome

　　　　修改tomcat下solr项目中的web.xml，并注释掉<security-constraint>

    <env-entry>
       <env-entry-name>solr/home</env-entry-name>
       <env-entry-value>D:\JavaTools\solrHome7\solrHome</env-entry-value>
       <env-entry-type>java.lang.String</env-entry-type>
    </env-entry>

  <!-- Get rid of error message -->
  <!-- <security-constraint>
    <web-resource-collection>
      <web-resource-name>Disable TRACE</web-resource-name>
      <url-pattern>/</url-pattern>
      <http-method>TRACE</http-method>
    </web-resource-collection>
    <auth-constraint/>
  </security-constraint>
  <security-constraint>
    <web-resource-collection>
      <web-resource-name>Enable everything but TRACE</web-resource-name>
      <url-pattern>/</url-pattern>
      <http-method-omission>TRACE</http-method-omission>
    </web-resource-collection>
  </security-constraint> -->

　　f.现在就可以开启tomcat 访问 localhost:8080/solr/index.html 打开Solr管理界面了

2.solr 配置数据库连接导入数据

　　a.将解压后的 contrib 和 dist 两文件夹 拷贝到 solrHome7 下与 solrHome 放在一起

　　b.在 contrib\dataimporthandler 下新建 lib 文件夹，并将 solr-dataimporthandler-7.2.1.jar （上文1-c中jar包）拷入其中

　　c.在 contrib 下新建 bd 文件夹，再在bd文件中新建 lib 文件夹，并将 常规数据库连接包（mysql-connector-java-5.1.39-bin.jar）拷入其中

　　d.新建core1实例

　　　　在solrHome7\solrHome 中新建文件夹 core1 文件夹

　　　　将solrHome7\solrHome/configsets/sample_techproducts_configs 下的 conf 文件夹 复制到solrHome7\solrHome\core1中

　　e.在 conf 文件夹中新建 data-config.xml

<dataConfig>
    <!-- 这是mysql的配置 -->
    <dataSource type="JdbcDataSource" driver="com.mysql.jdbc.Driver" url="jdbc:mysql://localhost:3306/blog" user="root" password="1452"/>
    <document>
        <!-- name属性，就代表着一个文档，可以随便命名 -->
        <!-- query是一条sql，代表在数据库查找出来的数据 -->
        <entity name="article" query="select * from article">
            <!-- 每一个field映射着数据库中列与文档中的域，column是数据库列，name是solr的域(必须是在managed-schema文件中配置过的域才行) -->
            <field column="article_id" name="article_id"/>
            <field column="article_title" name="article_title"/>
            <field column="article_content" name="article_content"/>
            <field column="user_id" name="user_id"/>
            <field column="article_type" name="article_type"/>
            <field column="edit_date" name="edit_date"/>
            <field column="read_num" name="read_num"/>
            <field column="article_summary" name="article_summary"/>
        </entity>
    </document>
</dataConfig>

　　f.在 conf 文件夹中修改 solrconfig.xml

  <lib dir="${solr.install.dir:../../../..}/contrib/dataimporthandler/lib" regex=".*\.jar" />
  <lib dir="${solr.install.dir:../../../..}/contrib/db/lib" regex=".*\.jar" />

    <requestHandler name="/dataimport" class="org.apache.solr.handler.dataimport.DataImportHandler">
      <lst name="defaults">
            <str name="config">data-config.xml</str>
      </lst>
    </requestHandler>

　　g.在 conf 文件夹中修改 managed-schema

<?xml version="1.0" encoding="UTF-8" ?>
<!--
 Licensed to the Apache Software Foundation (ASF) under one or more
 contributor license agreements.  See the NOTICE file distributed with
 this work for additional information regarding copyright ownership.
 The ASF licenses this file to You under the Apache License, Version 2.0
 (the "License"); you may not use this file except in compliance with
 the License.  You may obtain a copy of the License at

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

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

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

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

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

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

<schema name="example" version="1.6">
    <uniqueKey>article_id</uniqueKey>

    <field name="article_id" type="string" multiValued="false" indexed="true" required="true" stored="true"/>
    <field name="article_title" type="string" indexed="true" stored="true"/>
    <field name="article_content" type="text_general" indexed="true" stored="true"/>
    <field name="user_id" type="string" indexed="true" stored="true"/>
    <field name="article_type" type="pint" indexed="true" stored="true"/>
    <field name="edit_date" type="pdate" indexed="true" stored="true"/>
    <field name="read_num" type="pint" indexed="true" stored="true"/>
    <field name="article_summary" type="string" indexed="true" stored="true"/>

    <field name="_version_" type="plong" indexed="true" stored="true"/>
    <field name="_root_" type="string" indexed="true" stored="false" docValues="false" />
    <field name="_text_" type="text_general" indexed="true" stored="false" multiValued="true"/>

    <field name="text" type="text_general" indexed="true" stored="false" multiValued="true"/>

    <!-- This can be enabled, in case the client does not know what fields may be searched. It isn't enabled by default
         because it's very expensive to index everything twice. -->
    <!-- <copyField source="*" dest="_text_"/> -->

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

    <dynamicField name="*_i"  type="pint"    indexed="true"  stored="true"/>
    <dynamicField name="*_is" type="pints"    indexed="true"  stored="true"/>
    <dynamicField name="*_s"  type="string"  indexed="true"  stored="true" />
    <dynamicField name="*_ss" type="strings"  indexed="true"  stored="true"/>
    <dynamicField name="*_l"  type="plong"   indexed="true"  stored="true"/>
    <dynamicField name="*_ls" type="plongs"   indexed="true"  stored="true"/>
    <dynamicField name="*_txt" type="text_general" indexed="true" stored="true"/>
    <dynamicField name="*_b"  type="boolean" indexed="true" stored="true"/>
    <dynamicField name="*_bs" type="booleans" indexed="true" stored="true"/>
    <dynamicField name="*_f"  type="pfloat"  indexed="true"  stored="true"/>
    <dynamicField name="*_fs" type="pfloats"  indexed="true"  stored="true"/>
    <dynamicField name="*_d"  type="pdouble" indexed="true"  stored="true"/>
    <dynamicField name="*_ds" type="pdoubles" indexed="true"  stored="true"/>

    <!-- Type used for data-driven schema, to add a string copy for each text field -->
    <dynamicField name="*_str" type="strings" stored="false" docValues="true" indexed="false" />

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

    <!-- payloaded dynamic fields -->
    <dynamicField name="*_dpf" type="delimited_payloads_float" indexed="true"  stored="true"/>
    <dynamicField name="*_dpi" type="delimited_payloads_int" indexed="true"  stored="true"/>
    <dynamicField name="*_dps" type="delimited_payloads_string" indexed="true"  stored="true"/>

    <dynamicField name="attr_*" type="text_general" indexed="true" stored="true" 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
    -->

    <!-- 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
    -->

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

    <!-- The StrField type is not analyzed, but indexed/stored verbatim. -->
    <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"/>

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

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

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

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

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

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

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

    <!-- 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://lucene.apache.org/solr/guide/understanding-analyzers-tokenizers-and-filters.html#understanding-analyzers-tokenizers-and-filters
     -->

    <!-- 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>

    <!-- 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" 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 (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. -->
    <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="lang/stopwords_en.txt"
            />
        <filter class="solr.LowerCaseFilterFactory"/>
        <filter class="solr.EnglishPossessiveFilterFactory"/>
        <filter class="solr.KeywordMarkerFilterFactory" protected="protwords.txt"/>
        <!-- Optionally you may want to use this less aggressive stemmer instead of PorterStemFilterFactory:
        <filter class="solr.EnglishMinimalStemFilterFactory"/>
          -->
        <filter class="solr.PorterStemFilterFactory"/>
      </analyzer>
      <analyzer type="query">
        <tokenizer class="solr.StandardTokenizerFactory"/>
        <filter class="solr.SynonymGraphFilterFactory" synonyms="synonyms.txt" ignoreCase="true" expand="true"/>
        <filter class="solr.StopFilterFactory"
                ignoreCase="true"
                words="lang/stopwords_en.txt"
        />
        <filter class="solr.LowerCaseFilterFactory"/>
        <filter class="solr.EnglishPossessiveFilterFactory"/>
        <filter class="solr.KeywordMarkerFilterFactory" protected="protwords.txt"/>
        <!-- Optionally you may want to use this less aggressive stemmer instead of PorterStemFilterFactory:
        <filter class="solr.EnglishMinimalStemFilterFactory"/>
          -->
        <filter class="solr.PorterStemFilterFactory"/>
      </analyzer>
    </fieldType>

    <!-- A text field with defaults appropriate for English, plus
         aggressive word-splitting and autophrase features enabled.
         This field is just like text_en, except it adds
         WordDelimiterGraphFilter to enable splitting and matching of
         words on case-change, alpha numeric boundaries, and
         non-alphanumeric chars.  This means certain compound word
         cases will work, for example query "wi fi" will match
         document "WiFi" or "wi-fi".
    -->
    <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="lang/stopwords_en.txt"
        />
        <filter class="solr.WordDelimiterGraphFilterFactory" generateWordParts="1" generateNumberParts="1" catenateWords="1" catenateNumbers="1" catenateAll="0" splitOnCaseChange="1"/>
        <filter class="solr.LowerCaseFilterFactory"/>
        <filter class="solr.KeywordMarkerFilterFactory" protected="protwords.txt"/>
        <filter class="solr.PorterStemFilterFactory"/>
        <filter class="solr.FlattenGraphFilterFactory" />
      </analyzer>
      <analyzer type="query">
        <tokenizer class="solr.WhitespaceTokenizerFactory"/>
        <filter class="solr.SynonymGraphFilterFactory" synonyms="synonyms.txt" ignoreCase="true" expand="true"/>
        <filter class="solr.StopFilterFactory"
                ignoreCase="true"
                words="lang/stopwords_en.txt"
        />
        <filter class="solr.WordDelimiterGraphFilterFactory" generateWordParts="1" generateNumberParts="1" catenateWords="0" catenateNumbers="0" catenateAll="0" splitOnCaseChange="1"/>
        <filter class="solr.LowerCaseFilterFactory"/>
        <filter class="solr.KeywordMarkerFilterFactory" protected="protwords.txt"/>
        <filter class="solr.PorterStemFilterFactory"/>
      </analyzer>
    </fieldType>

    <!-- Less flexible matching, but less false matches.  Probably not ideal for product names,
         but may be good for SKUs.  Can insert dashes in the wrong place and still match. -->
    <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="lang/stopwords_en.txt"/>
        <filter class="solr.WordDelimiterGraphFilterFactory" generateWordParts="0" generateNumberParts="0" catenateWords="1" catenateNumbers="1" catenateAll="0"/>
        <filter class="solr.LowerCaseFilterFactory"/>
        <filter class="solr.KeywordMarkerFilterFactory" protected="protwords.txt"/>
        <filter class="solr.EnglishMinimalStemFilterFactory"/>
        <!-- this filter can remove any duplicate tokens that appear at the same position - sometimes
             possible with WordDelimiterGraphFilter in conjuncton with stemming. -->
        <filter class="solr.RemoveDuplicatesTokenFilterFactory"/>
        <filter class="solr.FlattenGraphFilterFactory" />
      </analyzer>
      <analyzer type="query">
        <tokenizer class="solr.WhitespaceTokenizerFactory"/>
        <filter class="solr.SynonymGraphFilterFactory" synonyms="synonyms.txt" ignoreCase="true" expand="false"/>
        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_en.txt"/>
        <filter class="solr.WordDelimiterGraphFilterFactory" generateWordParts="0" generateNumberParts="0" catenateWords="1" catenateNumbers="1" catenateAll="0"/>
        <filter class="solr.LowerCaseFilterFactory"/>
        <filter class="solr.KeywordMarkerFilterFactory" protected="protwords.txt"/>
        <filter class="solr.EnglishMinimalStemFilterFactory"/>
        <!-- this filter can remove any duplicate tokens that appear at the same position - sometimes
             possible with WordDelimiterGraphFilter in conjuncton with stemming. -->
        <filter class="solr.RemoveDuplicatesTokenFilterFactory"/>
      </analyzer>
    </fieldType>

    <!-- Just like text_general except it reverses the characters of
           each token, to enable more efficient leading wildcard queries.
    -->
    <dynamicField name="*_txt_rev" type="text_general_rev"  indexed="true"  stored="true"/>
    <fieldType name="text_general_rev" class="solr.TextField" positionIncrementGap="100">
      <analyzer type="index">
        <tokenizer class="solr.StandardTokenizerFactory"/>
        <filter class="solr.StopFilterFactory" ignoreCase="true" words="stopwords.txt" />
        <filter class="solr.LowerCaseFilterFactory"/>
        <filter class="solr.ReversedWildcardFilterFactory" withOriginal="true"
                maxPosAsterisk="3" maxPosQuestion="2" maxFractionAsterisk="0.33"/>
      </analyzer>
      <analyzer type="query">
        <tokenizer class="solr.StandardTokenizerFactory"/>
        <filter class="solr.SynonymGraphFilterFactory" synonyms="synonyms.txt" ignoreCase="true" expand="true"/>
        <filter class="solr.StopFilterFactory" ignoreCase="true" words="stopwords.txt" />
        <filter class="solr.LowerCaseFilterFactory"/>
      </analyzer>
    </fieldType>

    <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>

    <!--
      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>

    <!-- 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"/>

    <!-- A geospatial field type that supports multiValued and polygon shapes.
      For more information about this and other spatial fields see:
      http://lucene.apache.org/solr/guide/spatial-search.html
    -->
    <fieldType name="location_rpt" class="solr.SpatialRecursivePrefixTreeFieldType"
               geo="true" distErrPct="0.025" maxDistErr="0.001" distanceUnits="kilometers" />

    <!-- Payloaded field types -->
    <fieldType name="delimited_payloads_float" stored="false" indexed="true" class="solr.TextField">
      <analyzer>
        <tokenizer class="solr.WhitespaceTokenizerFactory"/>
        <filter class="solr.DelimitedPayloadTokenFilterFactory" encoder="float"/>
      </analyzer>
    </fieldType>
    <fieldType name="delimited_payloads_int" stored="false" indexed="true" class="solr.TextField">
      <analyzer>
        <tokenizer class="solr.WhitespaceTokenizerFactory"/>
        <filter class="solr.DelimitedPayloadTokenFilterFactory" encoder="integer"/>
      </analyzer>
    </fieldType>
    <fieldType name="delimited_payloads_string" stored="false" indexed="true" class="solr.TextField">
      <analyzer>
        <tokenizer class="solr.WhitespaceTokenizerFactory"/>
        <filter class="solr.DelimitedPayloadTokenFilterFactory" encoder="identity"/>
      </analyzer>
    </fieldType>

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

    <!-- Arabic -->
    <dynamicField name="*_txt_ar" type="text_ar"  indexed="true"  stored="true"/>
    <fieldType name="text_ar" class="solr.TextField" positionIncrementGap="100">
      <analyzer>
        <tokenizer class="solr.StandardTokenizerFactory"/>
        <!-- for any non-arabic -->
        <filter class="solr.LowerCaseFilterFactory"/>
        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_ar.txt" />
        <!-- normalizes ﻯ to ﻱ, etc -->
        <filter class="solr.ArabicNormalizationFilterFactory"/>
        <filter class="solr.ArabicStemFilterFactory"/>
      </analyzer>
    </fieldType>

    <!-- Bulgarian -->
    <dynamicField name="*_txt_bg" type="text_bg"  indexed="true"  stored="true"/>
    <fieldType name="text_bg" class="solr.TextField" positionIncrementGap="100">
      <analyzer>
        <tokenizer class="solr.StandardTokenizerFactory"/>
        <filter class="solr.LowerCaseFilterFactory"/>
        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_bg.txt" />
        <filter class="solr.BulgarianStemFilterFactory"/>
      </analyzer>
    </fieldType>

    <!-- Catalan -->
    <dynamicField name="*_txt_ca" type="text_ca"  indexed="true"  stored="true"/>
    <fieldType name="text_ca" class="solr.TextField" positionIncrementGap="100">
      <analyzer>
        <tokenizer class="solr.StandardTokenizerFactory"/>
        <!-- removes l', etc -->
        <filter class="solr.ElisionFilterFactory" ignoreCase="true" articles="lang/contractions_ca.txt"/>
        <filter class="solr.LowerCaseFilterFactory"/>
        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_ca.txt" />
        <filter class="solr.SnowballPorterFilterFactory" language="Catalan"/>
      </analyzer>
    </fieldType>

    <!-- CJK bigram (see text_ja for a Japanese configuration using morphological analysis) -->
    <dynamicField name="*_txt_cjk" type="text_cjk"  indexed="true"  stored="true"/>
    <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>

    <!-- Czech -->
    <dynamicField name="*_txt_cz" type="text_cz"  indexed="true"  stored="true"/>
    <fieldType name="text_cz" class="solr.TextField" positionIncrementGap="100">
      <analyzer>
        <tokenizer class="solr.StandardTokenizerFactory"/>
        <filter class="solr.LowerCaseFilterFactory"/>
        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_cz.txt" />
        <filter class="solr.CzechStemFilterFactory"/>
      </analyzer>
    </fieldType>

    <!-- Danish -->
    <dynamicField name="*_txt_da" type="text_da"  indexed="true"  stored="true"/>
    <fieldType name="text_da" class="solr.TextField" positionIncrementGap="100">
      <analyzer>
        <tokenizer class="solr.StandardTokenizerFactory"/>
        <filter class="solr.LowerCaseFilterFactory"/>
        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_da.txt" format="snowball" />
        <filter class="solr.SnowballPorterFilterFactory" language="Danish"/>
      </analyzer>
    </fieldType>

    <!-- German -->
    <dynamicField name="*_txt_de" type="text_de"  indexed="true"  stored="true"/>
    <fieldType name="text_de" class="solr.TextField" positionIncrementGap="100">
      <analyzer>
        <tokenizer class="solr.StandardTokenizerFactory"/>
        <filter class="solr.LowerCaseFilterFactory"/>
        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_de.txt" format="snowball" />
        <filter class="solr.GermanNormalizationFilterFactory"/>
        <filter class="solr.GermanLightStemFilterFactory"/>
        <!-- less aggressive: <filter class="solr.GermanMinimalStemFilterFactory"/> -->
        <!-- more aggressive: <filter class="solr.SnowballPorterFilterFactory" language="German2"/> -->
      </analyzer>
    </fieldType>

    <!-- Greek -->
    <dynamicField name="*_txt_el" type="text_el"  indexed="true"  stored="true"/>
    <fieldType name="text_el" class="solr.TextField" positionIncrementGap="100">
      <analyzer>
        <tokenizer class="solr.StandardTokenizerFactory"/>
        <!-- greek specific lowercase for sigma -->
        <filter class="solr.GreekLowerCaseFilterFactory"/>
        <filter class="solr.StopFilterFactory" ignoreCase="false" words="lang/stopwords_el.txt" />
        <filter class="solr.GreekStemFilterFactory"/>
      </analyzer>
    </fieldType>

    <!-- Spanish -->
    <dynamicField name="*_txt_es" type="text_es"  indexed="true"  stored="true"/>
    <fieldType name="text_es" class="solr.TextField" positionIncrementGap="100">
      <analyzer>
        <tokenizer class="solr.StandardTokenizerFactory"/>
        <filter class="solr.LowerCaseFilterFactory"/>
        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_es.txt" format="snowball" />
        <filter class="solr.SpanishLightStemFilterFactory"/>
        <!-- more aggressive: <filter class="solr.SnowballPorterFilterFactory" language="Spanish"/> -->
      </analyzer>
    </fieldType>

    <!-- Basque -->
    <dynamicField name="*_txt_eu" type="text_eu"  indexed="true"  stored="true"/>
    <fieldType name="text_eu" class="solr.TextField" positionIncrementGap="100">
      <analyzer>
        <tokenizer class="solr.StandardTokenizerFactory"/>
        <filter class="solr.LowerCaseFilterFactory"/>
        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_eu.txt" />
        <filter class="solr.SnowballPorterFilterFactory" language="Basque"/>
      </analyzer>
    </fieldType>

    <!-- Persian -->
    <dynamicField name="*_txt_fa" type="text_fa"  indexed="true"  stored="true"/>
    <fieldType name="text_fa" class="solr.TextField" positionIncrementGap="100">
      <analyzer>
        <!-- for ZWNJ -->
        <charFilter class="solr.PersianCharFilterFactory"/>
        <tokenizer class="solr.StandardTokenizerFactory"/>
        <filter class="solr.LowerCaseFilterFactory"/>
        <filter class="solr.ArabicNormalizationFilterFactory"/>
        <filter class="solr.PersianNormalizationFilterFactory"/>
        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_fa.txt" />
      </analyzer>
    </fieldType>

    <!-- Finnish -->
    <dynamicField name="*_txt_fi" type="text_fi"  indexed="true"  stored="true"/>
    <fieldType name="text_fi" class="solr.TextField" positionIncrementGap="100">
      <analyzer>
        <tokenizer class="solr.StandardTokenizerFactory"/>
        <filter class="solr.LowerCaseFilterFactory"/>
        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_fi.txt" format="snowball" />
        <filter class="solr.SnowballPorterFilterFactory" language="Finnish"/>
        <!-- less aggressive: <filter class="solr.FinnishLightStemFilterFactory"/> -->
      </analyzer>
    </fieldType>

    <!-- French -->
    <dynamicField name="*_txt_fr" type="text_fr"  indexed="true"  stored="true"/>
    <fieldType name="text_fr" class="solr.TextField" positionIncrementGap="100">
      <analyzer>
        <tokenizer class="solr.StandardTokenizerFactory"/>
        <!-- removes l', etc -->
        <filter class="solr.ElisionFilterFactory" ignoreCase="true" articles="lang/contractions_fr.txt"/>
        <filter class="solr.LowerCaseFilterFactory"/>
        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_fr.txt" format="snowball" />
        <filter class="solr.FrenchLightStemFilterFactory"/>
        <!-- less aggressive: <filter class="solr.FrenchMinimalStemFilterFactory"/> -->
        <!-- more aggressive: <filter class="solr.SnowballPorterFilterFactory" language="French"/> -->
      </analyzer>
    </fieldType>

    <!-- Irish -->
    <dynamicField name="*_txt_ga" type="text_ga"  indexed="true"  stored="true"/>
    <fieldType name="text_ga" class="solr.TextField" positionIncrementGap="100">
      <analyzer>
        <tokenizer class="solr.StandardTokenizerFactory"/>
        <!-- removes d', etc -->
        <filter class="solr.ElisionFilterFactory" ignoreCase="true" articles="lang/contractions_ga.txt"/>
        <!-- removes n-, etc. position increments is intentionally false! -->
        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/hyphenations_ga.txt"/>
        <filter class="solr.IrishLowerCaseFilterFactory"/>
        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_ga.txt"/>
        <filter class="solr.SnowballPorterFilterFactory" language="Irish"/>
      </analyzer>
    </fieldType>

    <!-- Galician -->
    <dynamicField name="*_txt_gl" type="text_gl"  indexed="true"  stored="true"/>
    <fieldType name="text_gl" class="solr.TextField" positionIncrementGap="100">
      <analyzer>
        <tokenizer class="solr.StandardTokenizerFactory"/>
        <filter class="solr.LowerCaseFilterFactory"/>
        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_gl.txt" />
        <filter class="solr.GalicianStemFilterFactory"/>
        <!-- less aggressive: <filter class="solr.GalicianMinimalStemFilterFactory"/> -->
      </analyzer>
    </fieldType>

    <!-- Hindi -->
    <dynamicField name="*_txt_hi" type="text_hi"  indexed="true"  stored="true"/>
    <fieldType name="text_hi" class="solr.TextField" positionIncrementGap="100">
      <analyzer>
        <tokenizer class="solr.StandardTokenizerFactory"/>
        <filter class="solr.LowerCaseFilterFactory"/>
        <!-- normalizes unicode representation -->
        <filter class="solr.IndicNormalizationFilterFactory"/>
        <!-- normalizes variation in spelling -->
        <filter class="solr.HindiNormalizationFilterFactory"/>
        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_hi.txt" />
        <filter class="solr.HindiStemFilterFactory"/>
      </analyzer>
    </fieldType>

    <!-- Hungarian -->
    <dynamicField name="*_txt_hu" type="text_hu"  indexed="true"  stored="true"/>
    <fieldType name="text_hu" class="solr.TextField" positionIncrementGap="100">
      <analyzer>
        <tokenizer class="solr.StandardTokenizerFactory"/>
        <filter class="solr.LowerCaseFilterFactory"/>
        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_hu.txt" format="snowball" />
        <filter class="solr.SnowballPorterFilterFactory" language="Hungarian"/>
        <!-- less aggressive: <filter class="solr.HungarianLightStemFilterFactory"/> -->
      </analyzer>
    </fieldType>

    <!-- Armenian -->
    <dynamicField name="*_txt_hy" type="text_hy"  indexed="true"  stored="true"/>
    <fieldType name="text_hy" class="solr.TextField" positionIncrementGap="100">
      <analyzer>
        <tokenizer class="solr.StandardTokenizerFactory"/>
        <filter class="solr.LowerCaseFilterFactory"/>
        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_hy.txt" />
        <filter class="solr.SnowballPorterFilterFactory" language="Armenian"/>
      </analyzer>
    </fieldType>

    <!-- Indonesian -->
    <dynamicField name="*_txt_id" type="text_id"  indexed="true"  stored="true"/>
    <fieldType name="text_id" class="solr.TextField" positionIncrementGap="100">
      <analyzer>
        <tokenizer class="solr.StandardTokenizerFactory"/>
        <filter class="solr.LowerCaseFilterFactory"/>
        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_id.txt" />
        <!-- for a less aggressive approach (only inflectional suffixes), set stemDerivational to false -->
        <filter class="solr.IndonesianStemFilterFactory" stemDerivational="true"/>
      </analyzer>
    </fieldType>

    <!-- Italian -->
  <dynamicField name="*_txt_it" type="text_it"  indexed="true"  stored="true"/>
  <fieldType name="text_it" class="solr.TextField" positionIncrementGap="100">
      <analyzer>
        <tokenizer class="solr.StandardTokenizerFactory"/>
        <!-- removes l', etc -->
        <filter class="solr.ElisionFilterFactory" ignoreCase="true" articles="lang/contractions_it.txt"/>
        <filter class="solr.LowerCaseFilterFactory"/>
        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_it.txt" format="snowball" />
        <filter class="solr.ItalianLightStemFilterFactory"/>
        <!-- more aggressive: <filter class="solr.SnowballPorterFilterFactory" language="Italian"/> -->
      </analyzer>
    </fieldType>

    <!-- Japanese using morphological analysis (see text_cjk for a configuration using bigramming)

         NOTE: If you want to optimize search for precision, use default operator AND in your request
         handler config (q.op) Use OR if you would like to optimize for recall (default).
    -->
    <dynamicField name="*_txt_ja" type="text_ja"  indexed="true"  stored="true"/>
    <fieldType name="text_ja" class="solr.TextField" positionIncrementGap="100" autoGeneratePhraseQueries="false">
      <analyzer>
        <!-- Kuromoji Japanese morphological analyzer/tokenizer (JapaneseTokenizer)

           Kuromoji has a search mode (default) that does segmentation useful for search.  A heuristic
           is used to segment compounds into its parts and the compound itself is kept as synonym.

           Valid values for attribute mode are:
              normal: regular segmentation
              search: segmentation useful for search with synonyms compounds (default)
            extended: same as search mode, but unigrams unknown words (experimental)

           For some applications it might be good to use search mode for indexing and normal mode for
           queries to reduce recall and prevent parts of compounds from being matched and highlighted.
           Use <analyzer type="index"> and <analyzer type="query"> for this and mode normal in query.

           Kuromoji also has a convenient user dictionary feature that allows overriding the statistical
           model with your own entries for segmentation, part-of-speech tags and readings without a need
           to specify weights.  Notice that user dictionaries have not been subject to extensive testing.

           User dictionary attributes are:
                     userDictionary: user dictionary filename
             userDictionaryEncoding: user dictionary encoding (default is UTF-8)

           See lang/userdict_ja.txt for a sample user dictionary file.

           Punctuation characters are discarded by default.  Use discardPunctuation="false" to keep them.
        -->
        <tokenizer class="solr.JapaneseTokenizerFactory" mode="search"/>
        <!--<tokenizer class="solr.JapaneseTokenizerFactory" mode="search" userDictionary="lang/userdict_ja.txt"/>-->
        <!-- Reduces inflected verbs and adjectives to their base/dictionary forms (辞書形) -->
        <filter class="solr.JapaneseBaseFormFilterFactory"/>
        <!-- Removes tokens with certain part-of-speech tags -->
        <filter class="solr.JapanesePartOfSpeechStopFilterFactory" tags="lang/stoptags_ja.txt" />
        <!-- Normalizes full-width romaji to half-width and half-width kana to full-width (Unicode NFKC subset) -->
        <filter class="solr.CJKWidthFilterFactory"/>
        <!-- Removes common tokens typically not useful for search, but have a negative effect on ranking -->
        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_ja.txt" />
        <!-- Normalizes common katakana spelling variations by removing any last long sound character (U+30FC) -->
        <filter class="solr.JapaneseKatakanaStemFilterFactory" minimumLength="4"/>
        <!-- Lower-cases romaji characters -->
        <filter class="solr.LowerCaseFilterFactory"/>
      </analyzer>
    </fieldType>

    <!-- Latvian -->
    <dynamicField name="*_txt_lv" type="text_lv"  indexed="true"  stored="true"/>
    <fieldType name="text_lv" class="solr.TextField" positionIncrementGap="100">
      <analyzer>
        <tokenizer class="solr.StandardTokenizerFactory"/>
        <filter class="solr.LowerCaseFilterFactory"/>
        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_lv.txt" />
        <filter class="solr.LatvianStemFilterFactory"/>
      </analyzer>
    </fieldType>

    <!-- Dutch -->
    <dynamicField name="*_txt_nl" type="text_nl"  indexed="true"  stored="true"/>
    <fieldType name="text_nl" class="solr.TextField" positionIncrementGap="100">
      <analyzer>
        <tokenizer class="solr.StandardTokenizerFactory"/>
        <filter class="solr.LowerCaseFilterFactory"/>
        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_nl.txt" format="snowball" />
        <filter class="solr.StemmerOverrideFilterFactory" dictionary="lang/stemdict_nl.txt" ignoreCase="false"/>
        <filter class="solr.SnowballPorterFilterFactory" language="Dutch"/>
      </analyzer>
    </fieldType>

    <!-- Norwegian -->
    <dynamicField name="*_txt_no" type="text_no"  indexed="true"  stored="true"/>
    <fieldType name="text_no" class="solr.TextField" positionIncrementGap="100">
      <analyzer>
        <tokenizer class="solr.StandardTokenizerFactory"/>
        <filter class="solr.LowerCaseFilterFactory"/>
        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_no.txt" format="snowball" />
        <filter class="solr.SnowballPorterFilterFactory" language="Norwegian"/>
        <!-- less aggressive: <filter class="solr.NorwegianLightStemFilterFactory"/> -->
        <!-- singular/plural: <filter class="solr.NorwegianMinimalStemFilterFactory"/> -->
      </analyzer>
    </fieldType>

    <!-- Portuguese -->
  <dynamicField name="*_txt_pt" type="text_pt"  indexed="true"  stored="true"/>
  <fieldType name="text_pt" class="solr.TextField" positionIncrementGap="100">
      <analyzer>
        <tokenizer class="solr.StandardTokenizerFactory"/>
        <filter class="solr.LowerCaseFilterFactory"/>
        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_pt.txt" format="snowball" />
        <filter class="solr.PortugueseLightStemFilterFactory"/>
        <!-- less aggressive: <filter class="solr.PortugueseMinimalStemFilterFactory"/> -->
        <!-- more aggressive: <filter class="solr.SnowballPorterFilterFactory" language="Portuguese"/> -->
        <!-- most aggressive: <filter class="solr.PortugueseStemFilterFactory"/> -->
      </analyzer>
    </fieldType>

    <!-- Romanian -->
    <dynamicField name="*_txt_ro" type="text_ro"  indexed="true"  stored="true"/>
    <fieldType name="text_ro" class="solr.TextField" positionIncrementGap="100">
      <analyzer>
        <tokenizer class="solr.StandardTokenizerFactory"/>
        <filter class="solr.LowerCaseFilterFactory"/>
        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_ro.txt" />
        <filter class="solr.SnowballPorterFilterFactory" language="Romanian"/>
      </analyzer>
    </fieldType>

    <!-- Russian -->
    <dynamicField name="*_txt_ru" type="text_ru"  indexed="true"  stored="true"/>
    <fieldType name="text_ru" class="solr.TextField" positionIncrementGap="100">
      <analyzer>
        <tokenizer class="solr.StandardTokenizerFactory"/>
        <filter class="solr.LowerCaseFilterFactory"/>
        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_ru.txt" format="snowball" />
        <filter class="solr.SnowballPorterFilterFactory" language="Russian"/>
        <!-- less aggressive: <filter class="solr.RussianLightStemFilterFactory"/> -->
      </analyzer>
    </fieldType>

    <!-- Swedish -->
    <dynamicField name="*_txt_sv" type="text_sv"  indexed="true"  stored="true"/>
    <fieldType name="text_sv" class="solr.TextField" positionIncrementGap="100">
      <analyzer>
        <tokenizer class="solr.StandardTokenizerFactory"/>
        <filter class="solr.LowerCaseFilterFactory"/>
        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_sv.txt" format="snowball" />
        <filter class="solr.SnowballPorterFilterFactory" language="Swedish"/>
        <!-- less aggressive: <filter class="solr.SwedishLightStemFilterFactory"/> -->
      </analyzer>
    </fieldType>

    <!-- Thai -->
    <dynamicField name="*_txt_th" type="text_th"  indexed="true"  stored="true"/>
    <fieldType name="text_th" class="solr.TextField" positionIncrementGap="100">
      <analyzer>
        <tokenizer class="solr.ThaiTokenizerFactory"/>
        <filter class="solr.LowerCaseFilterFactory"/>
        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_th.txt" />
      </analyzer>
    </fieldType>

    <!-- Turkish -->
    <dynamicField name="*_txt_tr" type="text_tr"  indexed="true"  stored="true"/>
    <fieldType name="text_tr" class="solr.TextField" positionIncrementGap="100">
      <analyzer>
        <tokenizer class="solr.StandardTokenizerFactory"/>
        <filter class="solr.TurkishLowerCaseFilterFactory"/>
        <filter class="solr.StopFilterFactory" ignoreCase="false" words="lang/stopwords_tr.txt" />
        <filter class="solr.SnowballPorterFilterFactory" language="Turkish"/>
      </analyzer>
    </fieldType>

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

</schema>

　　　　注：_version_, _root_, _text_ 这三个字段是solr默认字段，不建议删除；text 字段则是demo中solrconfig.xml内的默认字段，删了会报错，若要删除需修改solrconfig.xml

　　h.访问 localhost:8080/solr/index.html 打开Solr管理界面

　　　　在Core Admin中添加core1实例

　　　　在Core Selector中选择core1，再在DataImport中点击Execute导入数据库数据，点击Refresh Status刷新后，若右侧Added/Updated数量符合则成功导入

3.Solr整合Spring

　　a.导入依赖

    <!--solr客户端solrj的依赖 -->
    <dependency>
        <groupId>org.apache.solr</groupId>
        <artifactId>solr-solrj</artifactId>
        <version>5.3.1</version>
    </dependency>

　　b.新建 spring-solr.xml 和 solr.properties

<?xml version="1.0" encoding="UTF-8"?>
<beans xmlns="http://www.springframework.org/schema/beans"
        xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
        xmlns:context="http://www.springframework.org/schema/context"
        xsi:schemaLocation="http://www.springframework.org/schema/beans
        http://www.springframework.org/schema/beans/spring-beans-4.3.xsd
        http://www.springframework.org/schema/context
        http://www.springframework.org/schema/context/spring-context-4.3.xsd">

    <!--定义solr的server-->
    <bean id="httpSolrServer" class="org.apache.solr.client.solrj.impl.HttpSolrServer">
        <constructor-arg index="0" value="${solr.url}"/>
        <!-- 设置响应解析器 -->
        <property name="parser">
            <bean class="org.apache.solr.client.solrj.impl.XMLResponseParser"/>
        </property>
        <!-- 设置重试次数-->
        <property name="maxRetries" value="${solr.maxRetries}"/>
        <!-- 建立连接的最长时间 -->
        <property name="connectionTimeout" value="${solr.connectionTimeout}"/>
    </bean>

</beans>

solr.url=http://localhost:8080/solr
solr.maxRetries=1
solr.connectionTimeout=500 

　　c.在service中查询结果

    public List<Article> showArticlesByKeyWord(String keyWord){
        keyWord = "*" + keyWord + "*";

        //从solr中获取数据
        HttpSolrClient client = new HttpSolrClient(IConstant.SOLR_CORE_URL);
        SolrQuery query = new SolrQuery();
        query.set("q", "article_title:" + keyWord);
        query.set("sort", "edit_date desc");

        List<Article> articleList = new ArrayList<Article>();
        try {
            QueryResponse queryResponse = client.query(query);
            SolrDocumentList resultList = queryResponse.getResults();
            for(SolrDocument solrDocument : resultList){
                Article article = new Article();
                article.setArticleId(String.valueOf(solrDocument.get("article_id")));
                article.setArticleTitle(String.valueOf(solrDocument.get("article_title")));
                article.setArticleContent(String.valueOf(solrDocument.get("article_content")));
                article.setUserId(String.valueOf(solrDocument.get("user_id")));
                article.setArticleType(Integer.valueOf(String.valueOf(solrDocument.get("article_type"))));
                article.setEditDate(new SimpleDateFormat("yyyy-MM-dd HH:mm:ss").format(((Date)(solrDocument.get("edit_date")))));
                article.setReadNum(Integer.valueOf(String.valueOf(solrDocument.get("read_num"))));
                article.setArticleSummary(String.valueOf(solrDocument.get("article_summary")));
                articleList.add(article);
            }

        } catch (Exception e) {
            // TODO Auto-generated catch block
            e.printStackTrace();
        }
        return articleList;
    }

　　d.新建工具类，导入数据库数据（需要引入HttpClient依赖）

public class SolrUtil {

    public static void importData(){
        CloseableHttpClient httpClient = HttpClients.createDefault();
        try {
            URIBuilder builder = new URIBuilder("http://localhost:8080/solr/core1/dataimport?command=full-import");
            URI uri = builder.build();
            HttpGet httpGet = new HttpGet(uri);
            httpClient.execute(httpGet);

        } catch (Exception e) {
            e.printStackTrace();
        }
    }
}

参考：https://www.cnblogs.com/wr-123/p/7426841.html

　　　https://www.cnblogs.com/zhuxiaojie/p/5764680.html

　　　http://blog.csdn.net/millery22/article/details/49678839