Jquery 带范围计数的Agg计数

我的医生看起来像

{
      "path": "/foo/bar",
      "userId" : "33",
}

我想有一个用户ID谁拥有超过

100份文件 在50到100个文档之间 少于100份文件 我尝试使用不同的聚合，但我不知道如何对另一个聚合的计数进行范围聚合

感谢您的帮助，

您需要与一起使用，以便根据他们的文档数分离用户ID

在下面的示例中，考虑5个文件：“代码> USEID”：“33”<代码>，3个文件“USEID”：“34”和1个文件“<代码> USEID”：“35”< /代码>。现在，搜索查询将根据

文档计数小于或等于2的用户计数

文档计数介于2和4之间的用户计数

文档计数大于或等于4的用户计数

添加带有索引数据、搜索查询和搜索结果的工作示例

索引数据：

{
      "path": "/foo/bar",
      "userId" : "34"
}
{
      "path": "/foo/bar",
      "userId" : "34"
}
{
      "path": "/foo/bar",
      "userId" : "34"
}
{
      "path": "/foo/bar",
      "userId" : "33"
}
{
      "path": "/foo/bar",
      "userId" : "33"
}
{
      "path": "/foo/bar",
      "userId" : "33"
}
{
      "path": "/foo/bar",
      "userId" : "33"
}
{
      "path": "/foo/bar",
      "userId" : "33"
}
{
      "path": "/foo/bar",
      "userId" : "35"
}

{
  "size": 0,
  "aggs": {
    "userId_lessThanEqualTo2": {
      "terms": {
        "field": "userId.keyword"
      },
      "aggs": {
        "less_than_2": {
          "bucket_selector": {
            "buckets_path": {
              "the_doc_count": "_count"
            },
            "script": "params.the_doc_count < 2"
          }
        }
      }
    },
    "userId_btw2-4": {
      "terms": {
        "field": "userId.keyword"
      },
      "aggs": {
        "less_than_4": {
          "bucket_selector": {
            "buckets_path": {
              "the_doc_count": "_count"
            },
            "script": "params.the_doc_count >= 2 && params.the_doc_count < 4"
          }
        }
      }
    },
    "userId_greaterThanEqualTo4": {
      "terms": {
        "field": "userId.keyword"
      },
      "aggs": {
        "greater_than_4": {
          "bucket_selector": {
            "buckets_path": {
              "the_doc_count": "_count"
            },
            "script": "params.the_doc_count >= 4"
          }
        }
      }
    }
  }
}

 "aggregations": {
    "userId_btw2-4": {
      "doc_count_error_upper_bound": 0,
      "sum_other_doc_count": 0,
      "buckets": [
        {
          "key": "34",
          "doc_count": 3
        }
      ]
    },
    "userId_greaterThanEqualTo4": {
      "doc_count_error_upper_bound": 0,
      "sum_other_doc_count": 0,
      "buckets": [
        {
          "key": "33",
          "doc_count": 5
        }
      ]
    },
    "userId_lessThanEqualTo2": {
      "doc_count_error_upper_bound": 0,
      "sum_other_doc_count": 0,
      "buckets": [
        {
          "key": "35",
          "doc_count": 1
        }
      ]
    }
  }

搜索查询：

{
      "path": "/foo/bar",
      "userId" : "34"
}
{
      "path": "/foo/bar",
      "userId" : "34"
}
{
      "path": "/foo/bar",
      "userId" : "34"
}
{
      "path": "/foo/bar",
      "userId" : "33"
}
{
      "path": "/foo/bar",
      "userId" : "33"
}
{
      "path": "/foo/bar",
      "userId" : "33"
}
{
      "path": "/foo/bar",
      "userId" : "33"
}
{
      "path": "/foo/bar",
      "userId" : "33"
}
{
      "path": "/foo/bar",
      "userId" : "35"
}

{
  "size": 0,
  "aggs": {
    "userId_lessThanEqualTo2": {
      "terms": {
        "field": "userId.keyword"
      },
      "aggs": {
        "less_than_2": {
          "bucket_selector": {
            "buckets_path": {
              "the_doc_count": "_count"
            },
            "script": "params.the_doc_count < 2"
          }
        }
      }
    },
    "userId_btw2-4": {
      "terms": {
        "field": "userId.keyword"
      },
      "aggs": {
        "less_than_4": {
          "bucket_selector": {
            "buckets_path": {
              "the_doc_count": "_count"
            },
            "script": "params.the_doc_count >= 2 && params.the_doc_count < 4"
          }
        }
      }
    },
    "userId_greaterThanEqualTo4": {
      "terms": {
        "field": "userId.keyword"
      },
      "aggs": {
        "greater_than_4": {
          "bucket_selector": {
            "buckets_path": {
              "the_doc_count": "_count"
            },
            "script": "params.the_doc_count >= 4"
          }
        }
      }
    }
  }
}

 "aggregations": {
    "userId_btw2-4": {
      "doc_count_error_upper_bound": 0,
      "sum_other_doc_count": 0,
      "buckets": [
        {
          "key": "34",
          "doc_count": 3
        }
      ]
    },
    "userId_greaterThanEqualTo4": {
      "doc_count_error_upper_bound": 0,
      "sum_other_doc_count": 0,
      "buckets": [
        {
          "key": "33",
          "doc_count": 5
        }
      ]
    },
    "userId_lessThanEqualTo2": {
      "doc_count_error_upper_bound": 0,
      "sum_other_doc_count": 0,
      "buckets": [
        {
          "key": "35",
          "doc_count": 1
        }
      ]
    }
  }

谢谢你的帮助。 我尝试了一下，搜索结果是：

"aggregations": {
    "userId_btw2-4": {
      "doc_count_error_upper_bound" : 2125,
      "sum_other_doc_count" : 2482161,
      "buckets": []
    },
    "userId_greaterThanEqualTo4": {
      "doc_count_error_upper_bound" : 2125,
      "sum_other_doc_count" : 2482138,
      "buckets" : [
        {
          "key" : "804ba398-e512-4e43-a289-3e63483baabd",
          "doc_count" : 13914
        },
        {
          "key" : "de0ce908-7172-4be7-8e3e-181d94fb0571",
          "doc_count" : 8561
        },
        {
          "key" : "03670858-cb0b-4ca5-ae5a-07e92b12905f",
          "doc_count" : 4918
        },
        {
          "key" : "25a17282-2eb0-4a1f-8fdd-b0eef083af25",
          "doc_count" : 4847
        },
        {
          "key" : "c096169d-0bb3-42d2-8c24-92fa15754339",
          "doc_count" : 4265
        },
        {
          "key" : "9ff15fdc-2aa3-49a6-8422-4d7137f434ae",
          "doc_count" : 4159
        },
        {
          "key" : "ce77b5c0-e858-47a6-8598-879d78124857",
          "doc_count" : 3730
        },
        {
          "key" : "171bf337-8c19-4180-ba21-2ec9e72e380f",
          "doc_count" : 3513
        },
        {
          "key" : "745dd8e0-a021-4c91-abd8-2193e1805fd0",
          "doc_count" : 3245
        },
        {
          "key" : "e6645d55-a411-44c3-82db-1a5be1534e5e",
          "doc_count" : 3051
        }
      ]
    },
    "userId_lessThanEqualTo2": {
      "doc_count_error_upper_bound" : 2125,
      "sum_other_doc_count" : 2482161,
      "buckets": []
    }
  }

---

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