参考文档

• mysql数据库信息导入
  http://www.cnblogs.com/blueskyli/p/7128400.html

• ANSJ分词的配置
  https://blog.csdn.net/baidu_26550817/article/details/73181081

java的方式导入数据

https://www.cnblogs.com/xiao-zhang-blogs/p/7339476.html

public void addDoc() throws SolrServerException, IOException{ 
       HttpSolrClient solr = new HttpSolrClient(SOLR_URL + "helloworld");
       try {
          //构造一篇文档  
          SolrInputDocument document = new SolrInputDocument();  
          //往doc中添加字段,在客户端这边添加的字段必须在服务端中有过定义 
          document.addField("id", "1");  
          document.addField("name", "你好");  
          document.addField("description", "前进的中国你好");  
          solr.add(document);
          solr.commit();
       } finally{
           solr.close();
       }
   }

mysql数据库信息导入

http://www.cnblogs.com/blueskyli/p/7128400.html

中文分词的引入

1.复制源端的ext dist contrib等文件夹，修改soreconfig里面lib的指向地址
路径为collection相同的路径，所以直接指向即可

<lib dir="../contrib/extraction/lib" regex=".*\.jar" />
<lib dir="../dist/" regex="solr-cell-\d.*\.jar" />
<lib dir="../contrib/clustering/lib/" regex=".*\.jar" />
<lib dir="../dist/" regex="solr-clustering-\d.*\.jar" />
<lib dir="../contrib/langid/lib/" regex=".*\.jar" />
<lib dir="../dist/" regex="solr-langid-\d.*\.jar" />
<lib dir="../contrib/velocity/lib" regex=".*\.jar" />
<lib dir="../dist/" regex="solr-velocity-\d.*\.jar" />

1. 导入数据，参考blog
   http://www.cnblogs.com/blueskyli/p/7128400.html

2. 设置简单的中文分词器
   https://www.cnblogs.com/LUA123/p/7783102.html

• 把 solr-6.6.2\contrib\analysis-extras\lucene-libs\lucene-analyzers-smartcn-6.6.2.jar jar包复制到webapp/solr/webinfo/lib下面

• 设置字段属性

  <fieldType name="solr_cnAnalyzer" class="solr.TextField" positionIncrementGap="100"> <analyzer type="index"> <tokenizer class="org.apache.lucene.analysis.cn.smart.HMMChineseTokenizerFactory"/> </analyzer> <analyzer type="query"> <tokenizer class="org.apache.lucene.analysis.cn.smart.HMMChineseTokenizerFactory"/> </analyzer> </fieldType> <field name="cityname" type="solr_cnAnalyzer" indexed="true" stored="true"/>

• 测试分词效果，Analysis Field Value (Index)（中国九江）， 进行分词查询

1. solr6 自带中文分词器的使用
   https://blog.csdn.net/programmeryu/article/details/72828561
   分词的效果是每个中文都为一个单位，不会连词

   <fieldType name="text_general" class="solr.TextField" positionIncrementGap="100" multiValued="true"> <analyzer type="index"> <tokenizer class="solr.StandardTokenizerFactory"/> <filter class="solr.StopFilterFactory" words="stopwords.txt" ignoreCase="true"/> <filter class="solr.LowerCaseFilterFactory"/> </analyzer> <analyzer type="query"> <tokenizer class="solr.StandardTokenizerFactory"/> <filter class="solr.SynonymFilterFactory" expand="true" ignoreCase="true" synonyms="synonyms.txt"/> <filter class="solr.StopFilterFactory" words="stopwords.txt" ignoreCase="true"/> <filter class="solr.LowerCaseFilterFactory"/> </analyzer> </fieldType>

2. 设置AnsjTokenizer 中文分词
   https://blog.csdn.net/lzx1104/article/details/51438136###

• 去maven仓库下载ansj_seg-5.1.0.jar、nlp-lang-1.7.3.jar，并且进入到github的官网上下载
  在ansj_seg的lucene5的插件项目(ansj_seg/plugin/ansj_lucene5_plug)中做扩展，需要先下载下来，在maven编译正常后
• 添加solr/AnsjTokenizerFactory java文件
• 编译成jar包 ansj_lucene5_plug-5.1.2.0.jar
• 把3个jar包都添加到lib下面去
• 把ansj_seg-master\library\default.dic 获取到，并且设置为分词字典，也支持自定义添加分词进去,可以直接放在conf目录下面，然后通过stopwords 直接饮用
• 配置managed-schema

  <fieldType name="text_ansj" class="solr.TextField" positionIncrementGap="100"> <analyzer type="index"> <tokenizer class="org.ansj.solr.AnsjTokenizerFactory" isQuery="false" stopwords="default.dic"/> </analyzer> <analyzer type="query"> <tokenizer class="org.ansj.solr.AnsjTokenizerFactory"/> </analyzer> </fieldType>