2

假设我们在 ElasticSearch 中有以下映射。

{
  "content": {
    "properties": {
      "id": {
        "type": "string",
        "index": "not_analyzed",
        "store": "yes"
      },
      "locale_container": {
        "type": "object",
        "properties": {
          "english": {
            "type": "object",
            "properties": {
              "title": {
                "type": "string",
                "index_analyzer": "english",
                "search_analyzer": "english",
                "index": "analyzed",
                "term_vector": "with_positions_offsets",
                "store": "yes"
              },
              "text": {
                "type": "string",
                "index_analyzer": "english",
                "search_analyzer": "english",
                "index": "analyzed",
                "term_vector": "with_positions_offsets",
                "store": "yes"
              }
            }
          },
          "german": {
            "type": "object",
            "properties": {
              "title": {
                "type": "string",
                "index_analyzer": "german",
                "search_analyzer": "german",
                "index": "analyzed",
                "term_vector": "with_positions_offsets",
                "store": "yes"
              },
              "text": {
                "type": "string",
                "index_analyzer": "german",
                "search_analyzer": "german",
                "index": "analyzed",
                "term_vector": "with_positions_offsets",
                "store": "yes"
              }
            }
          },
          "russian": {
            "type": "object",
            "properties": {
              "title": {
                "type": "string",
                "index_analyzer": "russian",
                "search_analyzer": "russian",
                "index": "analyzed",
                "term_vector": "with_positions_offsets",
                "store": "yes"
              },
              "text": {
                "type": "string",
                "index_analyzer": "russian",
                "search_analyzer": "russian",
                "index": "analyzed",
                "term_vector": "with_positions_offsets",
                "store": "yes"
              }
            }
          },
          "italian": {
            "type": "object",
            "properties": {
              "title": {
                "type": "string",
                "index_analyzer": "italian",
                "search_analyzer": "italian",
                "index": "analyzed",
                "term_vector": "with_positions_offsets",
                "store": "yes"
              },
              "text": {
                "type": "string",
                "index_analyzer": "italian",
                "search_analyzer": "italian",
                "index": "analyzed",
                "term_vector": "with_positions_offsets",
                "store": "yes"
              }
            }
          }
        }
      }
    }
  }
}

当特定用户查询索引时，我们可以从她的设置中获取她的文化，即我们知道要使用哪个分析器。我们如何制定一个查询，只搜索她自己的语言（比如说德语）的“标题”和“文本”字段，并使用德语分析器对搜索查询进行标记？

4

1 回答 1

1

我已经简化了示例，将standard分析器用于“英语”，simple（不停止）用于“法语”。对于这样的文件：

{
  id: "abc",
  locale_container: {
    english: {
      title: "abc to ABC",
      text: ""
    },
    french: {
      title: "def to DEF",
      text: ""
    }
  }
}

以下查询可以解决问题：

  • locale_container.english.title:abc-> 返回文档
  • locale_container.french.title:def-> 也返回文档
  • locale_container.english.title:to-> 不返回任何内容，因为 'to' 是停用词
  • locale_container.french.title:to-> 返回文档
于 2011-09-14T13:06:29.903 回答