solr fuzzy query

Today I will focus on fuzzy retrieval of Chinese names

Solr performs word segmentation on Chinese. If it is not a word, words may be lost, and then when querying the name, it will feel inaccurate.

Solr provides many query matching methods such as:

1. Use *: resume_keyword: *wang*

2. Use AND splicing to query keywords: *architecture* AND personName: *wang*

3.OR keyword: building OR personName: king

4. No: AND resume_keyword:(* NOT *Li*) The above are all concatenated, you can also filter with query.addFilterQuery(" per_name:(*Li* )");

5. Name matching method: When doing a search before, the name was set to a participle, and then the result of the participle was not very accurate, for example: ABC, it may be divided into AB and then there is no C, so you can't find ABC when you query .

The previous participle is IK

<fieldType name="text_ik" class="solr.TextField">
    <analyzer type="index" class="org.wltea.analyzer.lucene.IKAnalyzer"/>
    <analyzer type="query" class="org.wltea.analyzer.lucene.IKAnalyzer"/>
  </fieldType>

The above problem occurred, and then we studied the attribute type in schema.xml. We used text_ik before and changed it to text_general，这样它就可以把ABC分成了A,B,C 通过一个其中的一个字或者ABC都可以检索了，就不用上面的模糊匹配了，就算匹配了，也不太准，可能把自己需要的那一行数据放到了第七八行，而不是第一行。如果按照上面修改，就可以把想要的数据放到第一位了

期间看到网上有介绍，把你传入的字进行分词，然后把分的词当条件传进去，这种思路可行，我觉得比较符合检索文章的关键字

I'm still exploring solr. There are many things in schema.xml to learn. If you understand this, I think you basically understand the core things of solr.

Guess you like