弹性搜索的查询匹配中的不同记录

Question

我在弹性搜索中设置了以下记录

POST /books/book/1
{
  "title" : "JavaScript: The Good Parts",
  "author" : "Douglas Crockford",
  "language" : "JavaScript",
  "publishYear" : 2009,
  "soldCopy" : "50"
}

POST /books/book/2
{
  "title" : "JavaScript: The Good Parts",
  "author" : "Douglas Crockford",
  "language" : "JavaScript",
  "publishYear" : 2009,
  "soldCopy" : "110"
}

POST /books/book/3
{
  "title" : "JavaScript: The Good Parts",
  "author" : "Douglas Crockford1",
  "language" : "JavaScript",
  "publishYear" : 2011,
  "soldCopy" : "2"
}

POST /books/book/4
{
  "title" : "JavaScript: The Good Parts",
  "author" : "Douglas Crockford2",
  "language" : "JavaScript",
  "publishYear" : 2012,
  "soldCopy" : "5"
}

我正在使用以下弹性搜索查询根据给定的 2009 年获取不同的标题和作者。我期望的查询的输出是

JavaScript: The Good Parts Douglas Crockford

但在响应中，我得到了 2 条具有相同输出的记录，例如：

JavaScript: The Good Parts      Douglas Crockford
JavaScript: The Good Parts      Douglas Crockford

用于弹性搜索的查询是：

{
  "query": {
    "match": {
      "publishYear": "2009"   }
  }
}

我尝试用数据库术语创建的等效选择查询是：

select distinct title,author from book where publishYear = '2009'

如何从弹性搜索中获得与我的 sql 查询相同的输出？ 谢谢

Answer 1

sql中的distinct等价于elasticsearch中的terms aggregation。

{
  "query": {
    "match": {
      "publishYear": "2009"
    }
  },
  "aggs": {
    "unique_author": {
      "terms": {
        "field": "author",
        "size": 10
      }
    },
    "unique_book": {
      "terms": {
        "field": "title",
        "size": 10
      }
    }
  },
  "size": 0
}

为此，您必须将标题和作者字段设置为 not_analyzed 或者您也可以使用 keyword tokenizer 和 lowercase 令牌过滤器。更好的选择是让他们multi fields

你可以像这样创建索引

PUT books
{
  "mappings": {
    "book":{
      "properties": {
        "title":{
          "type": "string",
          "fields": {
            "raw":{
              "type": "string",
              "index": "not_analyzed"
            }
          }
        },
        "author":{
          "type": "string",
          "fields": {
            "raw":{
              "type": "string",
              "index": "not_analyzed"
            }
          }
        },
        "language":{
          "type": "string"
        },
        "publishYear":{
          "type": "integer"
        },
        "soldCopy":{
          "type": "string"
        }
      }
    }
  }
}

然后在聚合中使用.raw。