Elasticsearch spring boot 指定拼音分词器

1下载ik中文/拼音分词器

ik分词器：https://github.com/medcl/elasticsearch-analysis-ik

拼音分词器：https://github.com/medcl/elasticsearch-analysis-pinyin

注意：elasticsearch版本要求严格必须相同

2 安装

1）通过releases找到和es对应版本的zip文件，或者source文件

2）进入elasticsearch安装目录plugins，新建pinyin文件夹

3）将拼音分词器zip文件解压到pinyin目录

4）重启es

3 kibana中配置

1）配置setting

PUT  my_index
 {
        "number_of_shards" : "5",//主分片
        "number_of_replicas" : "1",//副本
        "analysis" : {
          "analyzer" : {
            "default" : {
              "tokenizer" : "ik_max_word"//默认多词分词
            },
            "pinyin_analyzer" : {
              "tokenizer" : "my_pinyin"//拼音分词
            }
          },
          "tokenizer" : {
            //设置拼音分词
            "my_pinyin" : {
              "keep_separate_first_letter" : "false",
              "lowercase" : "true",
              "type" : "pinyin",
              "limit_first_letter_length" : "16",
              "keep_original" : "false",
              "keep_full_pinyin" : "true"
            }
          }
        }
      }

2）配置mapping

PUT my_index/index/_mapping
{    
        "properties" : {
            "name" : {
                "type" : "keyword",
                "analyzer" : "ik_max_word",
                "include_in_all" : true,
                "fields" : {
                    "pinyin" : {
                        "type" : "text",
                        "analyzer" : "pinyin_analyzer"
                      }
                 }
            }
      }
}

4 测试

通过_analyze测试下分词器是否能正常运行：

GET my_index/_analyze
{
"text":"刘德华",
"analyzer":"pinyin_analyzer"
}

5 spring boot 中自动创建setting mapping

1）在resources路径下创建usersearch_mapping.json和usersearch_setting.json文件

usersearch_mapping.json{
  "index" : {
    "analysis" : {
      "analyzer" : {
        "pinyin_analyzer" : {
          "tokenizer" : "my_pinyin"
        }
      },
      "tokenizer" : {
        "my_pinyin" : {
          "type" : "pinyin",
          "keep_separate_first_letter" : false,
          "keep_full_pinyin" : true,
          "keep_original" : true,
          "limit_first_letter_length" : 16,
          "lowercase" : true,
          "remove_duplicated_term" : true
        }
      }
    }
  }
}

usersearch_setting.json

{
  "user": {
    "properties": {
      "title": {
        "type": "keyword",
        "fields": {
          "pinyin": {
            "type": "text",
            "store": "no",
            "term_vector": "with_offsets",
            "analyzer": "pinyin_analyzer"
          }
        }
      }
    }
  }
}

2）新建测试demo 使用@Mapping和@Setting注解

@Mapping(mappingPath = "usersearch_setting.json")
@Setting(settingPath = "usersearch_mapping.json")
@Document(indexName = "user",type = "user",shards = 5,replicas = 1)
public class UserIndex  {
    @Id
    private  String user;
//get set省略
}

3）使用save方法添加数据

使用ElasticsearchTemplate 中的putMapping将setting 和mapping文件执行

public class UserContrller {
    @Autowired
    private UserRepository userRepository;
    @Autowired
    private ElasticsearchTemplate elasticsearchTemplate;
    @RequestMapping("/add")
    public void add(){
        //添加配置
        elasticsearchTemplate.putMapping(User.class);
        User user =new User();
        userIndex.setUser("陈奕迅");
        userRepository.save(user);
    }
}