ElasticSearch parent-child query results are not as expected












0















I create Indexing Parents and Children, the parent document stores user basic information, and the child document stores login information.



How do I query user information that is older than 18 years old and has logged in more than 5 times during the time period from 2018-01-01 to 2018-01-10?



PUT merit_parent/merit_mapping/1
{
"name": "test1",
"sex": "female",
"age": 18
}
PUT merit_parent/merit_mapping/2
{
"name": "test2",
"sex": "male",
"age": 20
}

PUT merit_parent/child_mapping/1?parent=1
{
"str_id": "1",
"str_pid": "1",
"double_date": 20180101,
"double_loginNum": 2
}
PUT merit_parent/child_mapping/2?parent=1
{
"str_id": "2",
"str_pid": "1",
"double_date": 20180102,
"double_loginNum": 2
}
PUT merit_parent/child_mapping/3?parent=2
{
"str_id": "3",
"str_pid": "2",
"double_date": 20180101,
"double_loginNum": 10
}


My query



{
"query": {
"bool": {
"must": [
{
"term": {
"sex": "male"
}
},
{
"has_child": {
"type": "child_mapping",
"query": {
"bool": {
"must": [
{
"range": {
"double_date": {
"gte": "20180101",
"lte": "20180110"
}
}
}
]
}
}
}
}
]
}
},
"aggs": {
"child": {
"children": {
"type": "child_mapping"
},
"aggs": {
"ipo_year": {
"terms": {
"field": "str_pid",
"size": 0
},
"aggs": {
"login_num": {
"sum": {
"field": "double_loginNum"
}
},
"having": {
"bucket_selector": {
"buckets_path": {
"count": "login_num"
},
"script": {
"lang": "expression",
"inline": "count>10"
}
}
}
}
}
}
}
}
}









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    0















    I create Indexing Parents and Children, the parent document stores user basic information, and the child document stores login information.



    How do I query user information that is older than 18 years old and has logged in more than 5 times during the time period from 2018-01-01 to 2018-01-10?



    PUT merit_parent/merit_mapping/1
    {
    "name": "test1",
    "sex": "female",
    "age": 18
    }
    PUT merit_parent/merit_mapping/2
    {
    "name": "test2",
    "sex": "male",
    "age": 20
    }

    PUT merit_parent/child_mapping/1?parent=1
    {
    "str_id": "1",
    "str_pid": "1",
    "double_date": 20180101,
    "double_loginNum": 2
    }
    PUT merit_parent/child_mapping/2?parent=1
    {
    "str_id": "2",
    "str_pid": "1",
    "double_date": 20180102,
    "double_loginNum": 2
    }
    PUT merit_parent/child_mapping/3?parent=2
    {
    "str_id": "3",
    "str_pid": "2",
    "double_date": 20180101,
    "double_loginNum": 10
    }


    My query



    {
    "query": {
    "bool": {
    "must": [
    {
    "term": {
    "sex": "male"
    }
    },
    {
    "has_child": {
    "type": "child_mapping",
    "query": {
    "bool": {
    "must": [
    {
    "range": {
    "double_date": {
    "gte": "20180101",
    "lte": "20180110"
    }
    }
    }
    ]
    }
    }
    }
    }
    ]
    }
    },
    "aggs": {
    "child": {
    "children": {
    "type": "child_mapping"
    },
    "aggs": {
    "ipo_year": {
    "terms": {
    "field": "str_pid",
    "size": 0
    },
    "aggs": {
    "login_num": {
    "sum": {
    "field": "double_loginNum"
    }
    },
    "having": {
    "bucket_selector": {
    "buckets_path": {
    "count": "login_num"
    },
    "script": {
    "lang": "expression",
    "inline": "count>10"
    }
    }
    }
    }
    }
    }
    }
    }
    }









    share|improve this question



























      0












      0








      0








      I create Indexing Parents and Children, the parent document stores user basic information, and the child document stores login information.



      How do I query user information that is older than 18 years old and has logged in more than 5 times during the time period from 2018-01-01 to 2018-01-10?



      PUT merit_parent/merit_mapping/1
      {
      "name": "test1",
      "sex": "female",
      "age": 18
      }
      PUT merit_parent/merit_mapping/2
      {
      "name": "test2",
      "sex": "male",
      "age": 20
      }

      PUT merit_parent/child_mapping/1?parent=1
      {
      "str_id": "1",
      "str_pid": "1",
      "double_date": 20180101,
      "double_loginNum": 2
      }
      PUT merit_parent/child_mapping/2?parent=1
      {
      "str_id": "2",
      "str_pid": "1",
      "double_date": 20180102,
      "double_loginNum": 2
      }
      PUT merit_parent/child_mapping/3?parent=2
      {
      "str_id": "3",
      "str_pid": "2",
      "double_date": 20180101,
      "double_loginNum": 10
      }


      My query



      {
      "query": {
      "bool": {
      "must": [
      {
      "term": {
      "sex": "male"
      }
      },
      {
      "has_child": {
      "type": "child_mapping",
      "query": {
      "bool": {
      "must": [
      {
      "range": {
      "double_date": {
      "gte": "20180101",
      "lte": "20180110"
      }
      }
      }
      ]
      }
      }
      }
      }
      ]
      }
      },
      "aggs": {
      "child": {
      "children": {
      "type": "child_mapping"
      },
      "aggs": {
      "ipo_year": {
      "terms": {
      "field": "str_pid",
      "size": 0
      },
      "aggs": {
      "login_num": {
      "sum": {
      "field": "double_loginNum"
      }
      },
      "having": {
      "bucket_selector": {
      "buckets_path": {
      "count": "login_num"
      },
      "script": {
      "lang": "expression",
      "inline": "count>10"
      }
      }
      }
      }
      }
      }
      }
      }
      }









      share|improve this question
















      I create Indexing Parents and Children, the parent document stores user basic information, and the child document stores login information.



      How do I query user information that is older than 18 years old and has logged in more than 5 times during the time period from 2018-01-01 to 2018-01-10?



      PUT merit_parent/merit_mapping/1
      {
      "name": "test1",
      "sex": "female",
      "age": 18
      }
      PUT merit_parent/merit_mapping/2
      {
      "name": "test2",
      "sex": "male",
      "age": 20
      }

      PUT merit_parent/child_mapping/1?parent=1
      {
      "str_id": "1",
      "str_pid": "1",
      "double_date": 20180101,
      "double_loginNum": 2
      }
      PUT merit_parent/child_mapping/2?parent=1
      {
      "str_id": "2",
      "str_pid": "1",
      "double_date": 20180102,
      "double_loginNum": 2
      }
      PUT merit_parent/child_mapping/3?parent=2
      {
      "str_id": "3",
      "str_pid": "2",
      "double_date": 20180101,
      "double_loginNum": 10
      }


      My query



      {
      "query": {
      "bool": {
      "must": [
      {
      "term": {
      "sex": "male"
      }
      },
      {
      "has_child": {
      "type": "child_mapping",
      "query": {
      "bool": {
      "must": [
      {
      "range": {
      "double_date": {
      "gte": "20180101",
      "lte": "20180110"
      }
      }
      }
      ]
      }
      }
      }
      }
      ]
      }
      },
      "aggs": {
      "child": {
      "children": {
      "type": "child_mapping"
      },
      "aggs": {
      "ipo_year": {
      "terms": {
      "field": "str_pid",
      "size": 0
      },
      "aggs": {
      "login_num": {
      "sum": {
      "field": "double_loginNum"
      }
      },
      "having": {
      "bucket_selector": {
      "buckets_path": {
      "count": "login_num"
      },
      "script": {
      "lang": "expression",
      "inline": "count>10"
      }
      }
      }
      }
      }
      }
      }
      }
      }






      elasticsearch






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      edited Nov 16 '18 at 20:27









      halfer

      14.7k759116




      14.7k759116










      asked Nov 16 '18 at 11:27









      KidKid

      13




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