es之关联查询

es并不擅长关联查询,其提供的解决方案有三种:对象,嵌套对象,父子文档

一,对象

POST moive/_doc/1
{
  "movie":"first blog",
  "actors":[{
    "firstName":"lu",
    "lastName":"yong"
  },{
    "firstName":"liu",
    "lastName":"yo3ng"
  }
 ]
}

GET moive/_search
{
  "query": {
    "bool": {
      "must": [
        {
          "match": {
            "actors.firstName":"lu"
          }
        },
        {
          "match": {
            "actors.lastName":"yo3ng"
          }
        }
      ]
    }
  }
}

二,嵌套对象

PUT my_movie
{
  "mappings": {
    "properties": {
       "actors":{
         "type":"nested", 
         "properties": {
           "lastName": {
             "type":"keyword"
           },
           "firstName": {
             "type":"keyword"
           }
         }
       }
    }
  }
}

POST my_movie/_doc/1
{
  "title":"speed",
  "actors":[
    {
      "firstName":"zhou",
      "lastName":"yong"
    },
    {
      "firstName":"lu",
      "lastName":"ha"
    }
  ]
}

GET my_movie/_search
{
  "query": {
    "bool": {
      "must": [
        {
          "match": {
            "title": "speed"
          }
        },
        {
          "nested": {
            "path": "actors",
            "query": {
              "bool": {
                "must": [
                  {"match":{"actors.firstName":"zhou"}},
                  {"match":{"actors.lastName":"yong"}}
                ]
              }
            }
          }
        }
      ]
    }
  }
}

es之关联查询_第1张图片

三,父子文档

父子文档的本身是同一个索引的两个类别,创建文档时指定标识表示其是父文档和子文档,在子文档中指定父文档的id。

1, 定义父子文档
PUT my_blog
{
  "mappings": {
    "properties": {
      "blog_comment_relation":{
        "type": "join",
        "relations":{
          "blog":"comment"
        }
      }
    }
  }
}
2,插入父文档
POST my_blog/_doc/blog1
{
  "title":"hadoop good",
  "author":"george",
  "blog_comment_relation":{
    "name":"blog"
  }
}

POST my_blog/_doc/blog2
{
  "title":"elastic search",
  "author":"george",
  "blog_comment_relation":{
    "name":"blog"
  }
}
3,插入子文档
POST my_blog/_doc/comment1?routing=blog1
{
  "title":"i love hadoop search",
  "author":"george",
  "blog_comment_relation":{
    "name":"comment",
    "parent":"blog1"
  }
}

POST my_blog/_doc/comment2?routing=blog2
{
  "title":"i love elastic search",
  "author":"george",
  "blog_comment_relation":{
    "name":"comment",
    "parent":"blog2"
  }
}

POST my_blog/_search
{
  "query": {
    "has_parent": {
      "parent_type": "blog",
      "query": {
        "match": {
          "title": "hadoop"
        }
      }
    }
  }
}

4,查询
// 查询评论
POST my_blog/_search
{
  "query": {
    "parent_id":{
      "type":"comment",
      "id":"blog1"
    }
  }
}

// 查询评论
POST my_blog/_search
{
  "query": {
    "has_child": {
      "type": "comment",
      "query": {
        "match": {
          "author": "george"
        }
      }
    }
  }
}

GET my_blog/_doc/blog1


GET my_blog/_doc/comment1

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