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Tomcat和Solr的整合

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这个本来在9月份就弄好了。太久了，已经忘了。所以晚上也闲着没事，反正通宵就想写着玩玩。发现好多已经忘了。等于又从头看一遍。 Solr全文搜索引擎，还是蛮实用的。很能提高查询的性能。而且在支持分词，这对于模糊查询有着极大的帮助。也不BB了。上代码。

搭建环境

MacBook pro 15款840 
OS X 10.10.5
solr-5.2.1.tgz
apache-tomcat-8.0.26

解压压缩包

tar -zxf  solr-5.2.1.tgz

移动war包

这里写图片描述

将这个war包，移动到 tomcat的webapps，然后启动或者解压war。

这里写图片描述

启动命令： 进入tomcat的bin下

./startup.sh

拷贝依赖需要的jar包

  • 复制 solr-5.2.1/dist/solr-dataimporthandler-5.2.1.jar ，solr-dataimporthandler-extras-5.2.1.jar，solr-cell-5.2.1.jar，到tomcat中的solr/WEB-INF/lib下，将数据库驱动也需要放入这里。

  • 复制solr-5.2.1\server\lib\ext下的jar包到solr/WEB-INF/lib下。这是打印日志所需要的jar包，然后在solr/WEB-INF 下新建classes文件夹 ，将solr-5.2.1/example/resources/log4j.properties 复制到 /usr/local/tomcat/webapps/solr/WEB-INF/classes/

  • 这里使用smartcn作为中文分词组件，将solr-5.2.1/contrib/analysis-extras/lucene-libs/lucene-analyzers-smartcn-5.2.1.jar 复制到 tomcat/solr/WEB-INF/lib 下

创建 Solr_Home

  • 创建新的文件夹，solr_home，将solr-5.2.1/server/solr中的文件复制到/Users/lxc/JavaSofe/solr_home下。

SOLR_HOME配置

  • 将solr-5.2.1/server/solr中的文件复制到/Users/lxc/JavaSofe/solr_home下。

  • 配置修改tomcat/webapps/solr/WEB-INF/web.xml

    <env-entry>
       <env-entry-name>solr/home</env-entry-name>
       <env-entry-value>/Users/lxc/JavaSofe/solr_home</env-entry-value>
       <env-entry-type>java.lang.String</env-entry-type>
    </env-entry>
  • 修改tomcat的server.xml
<Connector port="8080" protocol="HTTP/1.1"
               connectionTimeout="20000"
               redirectPort="8443" 
               URLEncoding="UTF-8"/>

配置core目录

  • 在solr_home下创建一个文件夹szss(名字随便)，并且复制solr-5.2.1/service/solr/configsets/basic_configs/conf 到 solr_home/szss下。

修改solrconfig.xml

  • 修改 solr_home/test/conf/solrconfig.xml
<requestHandler name="/dataimport" class="org.apache.solr.handler.dataimport.DataImportHandler">
     <lst name="defaults">
          <str name="config">data-config.xml</str>
     </lst>
</requestHandler>

新建一个data-config.xml文件

<?xml version="1.0" ?>
<dataConfig>
    <dataSource type="JdbcDataSource"
              driver="com.microsoft.sqlserver.jdbc.SQLServerDriver"
              url="jdbc:sqlserver://127.0.0.1:6372;databaseName=cs_szssapp"
              user="sa"
              password="szss" />
    <document>
        <entity name="solr_test" transformer="DateFormatTransformer"
            query="select id,product_full_name,product_short_name,product_content,specification,taste_type,date_created,last_updated from product_b">
            <field column='date_created' dateTimeFormat='yyyy-MM-dd HH:mm:ss' />
            <field column='last_updated' dateTimeFormat='yyyy-MM-dd HH:mm:ss' />
        </entity>
    </document>
</dataConfig>

编辑schema.xml

<?xml version="1.0" encoding="UTF-8" ?>
//这个name要和你新建的solr_home文件下得那个文件名相同
<schema name="test" version="1.5">
  
   <field name="_version_" type="long" indexed="true" stored="true"/>

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

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

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

   <!-- some trie-coded dynamic fields for faster range queries -->
   <dynamicField name="*_ti" type="tint"    indexed="true"  stored="true"/>
   <dynamicField name="*_tl" type="tlong"   indexed="true"  stored="true"/>
   <dynamicField name="*_tf" type="tfloat"  indexed="true"  stored="true"/>
   <dynamicField name="*_td" type="tdouble" indexed="true"  stored="true"/>
   <dynamicField name="*_tdt" type="tdate"  indexed="true"  stored="true"/>

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

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

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

   <!-- uncomment the following to ignore any fields that don't already match an existing 
        field name or dynamic field, rather than reporting them as an error. 
        alternately, change the type="ignored" to some other type e.g. "text" if you want 
        unknown fields indexed and/or stored by default --> 
   <!--dynamicField name="*" type="ignored" multiValued="true" /-->

 <!-- Field to use to determine and enforce document uniqueness. 
      Unless this field is marked with required="false", it will be a required field
   -->
 <uniqueKey>id</uniqueKey>
 
 <fieldType name="text_cn" class="solr.TextField">
        <analyzer type="index" class="org.apache.lucene.analysis.cn.smart.SmartChineseAnalyzer" />
        <analyzer type="query" class="org.apache.lucene.analysis.cn.smart.SmartChineseAnalyzer" />
 </fieldType>

    <fieldType name="string" class="solr.StrField" sortMissingLast="true" />

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

    <fieldType name="int" class="solr.TrieIntField" precisionStep="0" positionIncrementGap="0"/>
    <fieldType name="float" class="solr.TrieFloatField" precisionStep="0" positionIncrementGap="0"/>
    <fieldType name="long" class="solr.TrieLongField" precisionStep="0" positionIncrementGap="0"/>
    <fieldType name="double" class="solr.TrieDoubleField" precisionStep="0" positionIncrementGap="0"/>

    <fieldType name="tint" class="solr.TrieIntField" precisionStep="8" positionIncrementGap="0"/>
    <fieldType name="tfloat" class="solr.TrieFloatField" precisionStep="8" positionIncrementGap="0"/>
    <fieldType name="tlong" class="solr.TrieLongField" precisionStep="8" positionIncrementGap="0"/>
    <fieldType name="tdouble" class="solr.TrieDoubleField" precisionStep="8" positionIncrementGap="0"/>

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

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


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


    <fieldType name="random" class="solr.RandomSortField" indexed="true" />

    <!-- A text field that only splits on whitespace for exact matching of words -->
    <fieldType name="text_ws" class="solr.TextField" positionIncrementGap="100">
      <analyzer>
        <tokenizer class="solr.WhitespaceTokenizerFactory"/>
      </analyzer>
    </fieldType>

    <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" />
        
        <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>

    <fieldType name="text_en" class="solr.TextField" positionIncrementGap="100">
      <analyzer type="index">
        <tokenizer class="solr.StandardTokenizerFactory"/>
    
        <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"/>
	
        <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>

    <fieldType name="text_en_splitting" class="solr.TextField" positionIncrementGap="100" autoGeneratePhraseQueries="true">
      <analyzer type="index">
        <tokenizer class="solr.WhitespaceTokenizerFactory"/>
        <filter class="solr.StopFilterFactory"
                ignoreCase="true"
                words="lang/stopwords_en.txt"
                />
        <filter class="solr.WordDelimiterFilterFactory" generateWordParts="1" generateNumberParts="1" catenateWords="1" catenateNumbers="1" catenateAll="0" splitOnCaseChange="1"/>
        <filter class="solr.LowerCaseFilterFactory"/>
        <filter class="solr.KeywordMarkerFilterFactory" protected="protwords.txt"/>
        <filter class="solr.PorterStemFilterFactory"/>
      </analyzer>
      <analyzer type="query">
        <tokenizer class="solr.WhitespaceTokenizerFactory"/>
        <filter class="solr.SynonymFilterFactory" synonyms="synonyms.txt" ignoreCase="true" expand="true"/>
        <filter class="solr.StopFilterFactory"
                ignoreCase="true"
                words="lang/stopwords_en.txt"
                />
        <filter class="solr.WordDelimiterFilterFactory" generateWordParts="1" generateNumberParts="1" catenateWords="0" catenateNumbers="0" catenateAll="0" splitOnCaseChange="1"/>
        <filter class="solr.LowerCaseFilterFactory"/>
        <filter class="solr.KeywordMarkerFilterFactory" protected="protwords.txt"/>
        <filter class="solr.PorterStemFilterFactory"/>
      </analyzer>
    </fieldType>

    <!-- Less flexible matching, but less false matches.  Probably not ideal for product names,
         but may be good for SKUs.  Can insert dashes in the wrong place and still match. -->
    <fieldType name="text_en_splitting_tight" class="solr.TextField" positionIncrementGap="100" autoGeneratePhraseQueries="true">
      <analyzer>
        <tokenizer class="solr.WhitespaceTokenizerFactory"/>
        <filter class="solr.SynonymFilterFactory" synonyms="synonyms.txt" ignoreCase="true" expand="false"/>
        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_en.txt"/>
        <filter class="solr.WordDelimiterFilterFactory" generateWordParts="0" generateNumberParts="0" catenateWords="1" catenateNumbers="1" catenateAll="0"/>
        <filter class="solr.LowerCaseFilterFactory"/>
        <filter class="solr.KeywordMarkerFilterFactory" protected="protwords.txt"/>
        <filter class="solr.EnglishMinimalStemFilterFactory"/>
        <!-- this filter can remove any duplicate tokens that appear at the same position - sometimes
             possible with WordDelimiterFilter in conjuncton with stemming. -->
        <filter class="solr.RemoveDuplicatesTokenFilterFactory"/>
      </analyzer>
    </fieldType>

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

    <!-- This is an example of using the KeywordTokenizer along
         With various TokenFilterFactories to produce a sortable field
         that does not include some properties of the source text
      -->
    <fieldType name="alphaOnlySort" class="solr.TextField" sortMissingLast="true" omitNorms="true">
      <analyzer>
        <!-- KeywordTokenizer does no actual tokenizing, so the entire
             input string is preserved as a single token
          -->
        <tokenizer class="solr.KeywordTokenizerFactory"/>
        <!-- The LowerCase TokenFilter does what you expect, which can be
             when you want your sorting to be case insensitive
          -->
        <filter class="solr.LowerCaseFilterFactory" />
        <!-- The TrimFilter removes any leading or trailing whitespace -->
        <filter class="solr.TrimFilterFactory" />
    
        <filter class="solr.PatternReplaceFilterFactory"
                pattern="([^a-z])" replacement="" replace="all"
        />
      </analyzer>
    </fieldType>

    <!-- lowercases the entire field value, keeping it as a single token.  -->
    <fieldType name="lowercase" class="solr.TextField" positionIncrementGap="100">
      <analyzer>
        <tokenizer class="solr.KeywordTokenizerFactory"/>
        <filter class="solr.LowerCaseFilterFactory" />
      </analyzer>
    </fieldType>

    <!-- since fields of this type are by default not stored or indexed,
         any data added to them will be ignored outright.  --> 
    <fieldType name="ignored" stored="false" indexed="false" multiValued="true" class="solr.StrField" />

    <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"/>
    <fieldType name="location_rpt" class="solr.SpatialRecursivePrefixTreeFieldType"
        geo="true" distErrPct="0.025" maxDistErr="0.001" distanceUnits="kilometers" />

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

    <fieldType name="currency" class="solr.CurrencyField" precisionStep="8" defaultCurrency="USD" currencyConfig="currency.xml" />
    
    **<!-- general -->
    <field name="product_full_name" type="text_cn" indexed="true" stored="true" />
    <field name="product_short_name" type="text_cn" indexed="true" stored="true" />
    <field name="product_content" type="text_cn" indexed="true" stored="true" />
    <field name="specification" type="text_cn" indexed="true" stored="true" />
    <field name="taste_type" type="text_cn" indexed="true" stored="true" />
    <field name="date_created" type="date" indexed="true" stored="true" />
    <field name="last_updated" type="date" indexed="true" stored="true" />
    <defaultSearchField>product_full_name</defaultSearchField>
    <solrQueryParser defaultOperator="OR"/>
</schema>**

主要加了查询的参数类型什么的。

测试

  • 测试一下 localhost:8080/solr 这里写图片描述

  • 然后点击 这里写图片描述

  • 这个名字不能取成其他的 需要和你在solr_home下新建文件夹名相同。 这里写图片描述

然后

这里写图片描述

因为我之前新建过所以是test1

点击DataImport 引入数据 生成索引， 这里写图片描述

这里写图片描述

查询一个 试试 这里写图片描述

完毕。 肚子疼。等会回去休息了。 下午还是要回来。 双十一电商工作人员真是累成狗了。

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