ElasticSearch系列——创建、 修改以及删除索引 和 分词器以及定制自己的分词器

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ElasticSearch系列——主目录

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索引

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创建索引

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创建索引的语法

PUT /my_index
{
    "settings": { ... any settings ... },
    "mappings": {
        "type_one": { ... any mappings ... },
        "type_two": { ... any mappings ... },
        ...
    }
}

创建索引的示例

PUT /my_index
{
  "settings": {
    "number_of_shards": 1,
    "number_of_replicas": 0
  },
  "mappings": {
    "my_type": {
      "properties": {
        "my_field": {
          "type": "text"
        }
      }
    }
  }
}

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修改索引

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PUT /my_index/_settings
{
    "number_of_replicas": 1
}

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删除索引

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DELETE /my_index
DELETE /index_one,index_two
DELETE /index_*
DELETE /_all

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默认的分词器

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standard

standard tokenizer：以单词边界进行切分
standard token filter：什么都不做
lowercase token filter：将所有字母转换为小写
stop token filer（默认被禁用）：移除停用词，比如a the it等等

修改分词器的设置

启用english停用词token filter

PUT /my_index
{
  "settings": {
    "analysis": {
      "analyzer": {
        "es_std": {
          "type": "standard",
          "stopwords": "_english_"
        }
      }
    }
  }
}

GET /my_index/_analyze
{
  "analyzer": "standard", 
  "text": "a dog is in the house"
}

GET /my_index/_analyze
{
  "analyzer": "es_std",
  "text":"a dog is in the house"
}

定制化自己的分词器

PUT /my_index
{
  "settings": {
    "analysis": {
      "char_filter": {
        "&_to_and": {
          "type": "mapping",
          "mappings": ["&=> and"]
        }
      },
      "filter": {
        "my_stopwords": {
          "type": "stop",
          "stopwords": ["the", "a"]
        }
      },
      "analyzer": {
        "my_analyzer": {
          "type": "custom",
          "char_filter": ["html_strip", "&_to_and"],
          "tokenizer": "standard",
          "filter": ["lowercase", "my_stopwords"]
        }
      }
    }
  }
}

GET /my_index/_analyze
{
  "text": "tom&jerry are a friend in the house, <a>, HAHA!!",
  "analyzer": "my_analyzer"
}

PUT /my_index/_mapping/my_type
{
  "properties": {
    "content": {
      "type": "text",
      "analyzer": "my_analyzer"
    }
  }
}