elasticsearch - Elastisearch怎么求查询结果的交集，如MYSQL的interset

Question

1.查询20151216-17所有的名字

{
"from": 0,
"size": 200,
"query": {
    "bool": {
        "must": {
            "range": {
                "DATE": {
                    "from": 20151216,
                    "to": 2015121617,
                    "include_lower": true,
                    "include_upper": true
                }
            }
        }
    }
},
"_source": {
    "includes": [
        "NAME"
    ],
    "excludes": []
}

2.查询20151217-18所有的名字

{
"from": 0,
"size": 200,
"query": {
    "bool": {
        "must": {
            "range": {
                "DATE": {
                    "from": 20151216,
                    "to": 2015121617,
                    "include_lower": true,
                    "include_upper": true
                }
            }
        }
    }
},
"_source": {
    "includes": [
        "NAME"
    ],
    "excludes": []
}

如果在mysql中可用如下的语句求得这两天name的交集

SELECT NAME FROM Table1 where DATE between 20151216 and 20151217 interset SELECT NAME FROM Table1 where DATE between 20151217 and 20151218    

Elastisearch中怎么做呢？

Answer 1

SELECT NAME FROM Table1 where DATE between 20151216 and 20151217 interset SELECT NAME FROM Table1 where DATE between 20151217 and 20151218

我把樓主的SQL修改一下不知是否滿足樓主的需求，如果滿足我想下面的elasticsearch應該也是可以使用的elasticsearch应该也是可以使用的

SELECT NAME FROM Table1 where (DATE between 20151217 and 20151218) OR (DATE between 20151216 and 20151217)
GROUP BY NAME

---

REQUEST:

{
    "query": {
        "bool": {
            "should":[
                {
                    "range": {
                        "createdTime": {
                            "from": 1477984000,
                            "to": 1477984695
                        }
                    }
                },
                {
                    "range": {
                        "createdTime": {
                            "from": 1477984000,
                            "to": 1477984835
                        }
                    }
                }
            ]
        }
    },
    "size": 0,
    "aggs": {
        "my_price": {
            "terms": {
                "field": "price"
            }
        }
    }
}

RESPONSE:

{
  "took": 3,
  "timed_out": false,
  "_shards": {
    "total": 5,
    "successful": 5,
    "failed": 0
  },
  "hits": {
    "total": 542,
    "max_score": 0,
    "hits": []
  },
  "aggregations": {
    "my_price": {
      "doc_count_error_upper_bound": 8,
      "sum_other_doc_count": 377,
      "buckets": [
        {
          "key": 148,
          "doc_count": 24
        },
        {
          "key": 98,
          "doc_count": 23
        },
        {
          "key": 128,
          "doc_count": 20
        },
        {
          "key": 160,
          "doc_count": 20
        },
        {
          "key": 108,
          "doc_count": 18
        },
        {
          "key": 105,
          "doc_count": 14
        },
        {
          "key": 100,
          "doc_count": 13
        },
        {
          "key": 118,
          "doc_count": 12
        },
        {
          "key": 88,
          "doc_count": 11
        },
        {
          "key": 81,
          "doc_count": 10
        }
      ]
    }
  }
}

我这里是使用的数据创建时间，查询其价格，因为我的数据中只有价格是重复的，就采用这个做一个测试。
使用 aggs 对数据进行分组，"size":0是禁止返回hits数据，这样直接读取aggregations.my_price.buckets rrreee

---

REQUEST:🎜 rrreee 🎜RESPONSE:🎜 rrreee 🎜我這裡是使用的資料創建時間，查詢其價格，因為我的資料中只有價格是重複的，就採用這個做一個測試。
使用aggs 將資料分組，"size":0是禁止回傳hits數據，這樣直接讀取aggregations.my_price.buckets屬性就是你需要的資料集。 🎜

Answer 2

印像中沒有這個語法，對於nosql，查出來的都是json風格數據，用程式做下也很簡單有效率。