测试分析器编辑

analyze API 是一个用于查看分析器生成的词项的宝贵工具。可以在请求中内联指定内置分析器

response = client.indices.analyze(
  body: {
    analyzer: 'whitespace',
    text: 'The quick brown fox.'
  }
)
puts response
POST _analyze
{
  "analyzer": "whitespace",
  "text":     "The quick brown fox."
}

API 返回以下响应

{
  "tokens": [
    {
      "token": "The",
      "start_offset": 0,
      "end_offset": 3,
      "type": "word",
      "position": 0
    },
    {
      "token": "quick",
      "start_offset": 4,
      "end_offset": 9,
      "type": "word",
      "position": 1
    },
    {
      "token": "brown",
      "start_offset": 10,
      "end_offset": 15,
      "type": "word",
      "position": 2
    },
    {
      "token": "fox.",
      "start_offset": 16,
      "end_offset": 20,
      "type": "word",
      "position": 3
    }
  ]
}

您还可以测试以下各项的组合

  • 分词器
  • 零个或多个词元过滤器
  • 零个或多个字符过滤器
response = client.indices.analyze(
  body: {
    tokenizer: 'standard',
    filter: [
      'lowercase',
      'asciifolding'
    ],
    text: 'Is this déja vu?'
  }
)
puts response
POST _analyze
{
  "tokenizer": "standard",
  "filter":  [ "lowercase", "asciifolding" ],
  "text":      "Is this déja vu?"
}

API 返回以下响应

{
  "tokens": [
    {
      "token": "is",
      "start_offset": 0,
      "end_offset": 2,
      "type": "<ALPHANUM>",
      "position": 0
    },
    {
      "token": "this",
      "start_offset": 3,
      "end_offset": 7,
      "type": "<ALPHANUM>",
      "position": 1
    },
    {
      "token": "deja",
      "start_offset": 8,
      "end_offset": 12,
      "type": "<ALPHANUM>",
      "position": 2
    },
    {
      "token": "vu",
      "start_offset": 13,
      "end_offset": 15,
      "type": "<ALPHANUM>",
      "position": 3
    }
  ]
}

或者,在对特定索引运行 analyze API 时,可以引用 自定义 分析器

response = client.indices.create(
  index: 'my-index-000001',
  body: {
    settings: {
      analysis: {
        analyzer: {
          std_folded: {
            type: 'custom',
            tokenizer: 'standard',
            filter: [
              'lowercase',
              'asciifolding'
            ]
          }
        }
      }
    },
    mappings: {
      properties: {
        my_text: {
          type: 'text',
          analyzer: 'std_folded'
        }
      }
    }
  }
)
puts response

response = client.indices.analyze(
  index: 'my-index-000001',
  body: {
    analyzer: 'std_folded',
    text: 'Is this déjà vu?'
  }
)
puts response

response = client.indices.analyze(
  index: 'my-index-000001',
  body: {
    field: 'my_text',
    text: 'Is this déjà vu?'
  }
)
puts response
PUT my-index-000001
{
  "settings": {
    "analysis": {
      "analyzer": {
        "std_folded": { 
          "type": "custom",
          "tokenizer": "standard",
          "filter": [
            "lowercase",
            "asciifolding"
          ]
        }
      }
    }
  },
  "mappings": {
    "properties": {
      "my_text": {
        "type": "text",
        "analyzer": "std_folded" 
      }
    }
  }
}

GET my-index-000001/_analyze 
{
  "analyzer": "std_folded", 
  "text":     "Is this déjà vu?"
}

GET my-index-000001/_analyze 
{
  "field": "my_text", 
  "text":  "Is this déjà vu?"
}

API 返回以下响应

{
  "tokens": [
    {
      "token": "is",
      "start_offset": 0,
      "end_offset": 2,
      "type": "<ALPHANUM>",
      "position": 0
    },
    {
      "token": "this",
      "start_offset": 3,
      "end_offset": 7,
      "type": "<ALPHANUM>",
      "position": 1
    },
    {
      "token": "deja",
      "start_offset": 8,
      "end_offset": 12,
      "type": "<ALPHANUM>",
      "position": 2
    },
    {
      "token": "vu",
      "start_offset": 13,
      "end_offset": 15,
      "type": "<ALPHANUM>",
      "position": 3
    }
  ]
}

定义一个名为 std_folded自定义 分析器。

字段 my_text 使用 std_folded 分析器。

要引用此分析器,analyze API 必须指定索引名称。

按名称引用分析器。

引用字段 my_text 使用的分析器。