ElasticSearch-聚合bucket学习

其他 2020-03-12 18:01:18 阅读次数: 0 
DELETE cars
PUT cars
{
  "mappings": {
    "transactions": {
      "properties": {
        "price": {
          "type":"long"
        },
        "color": {
          "type":"keyword"
        },
        "make": {
          "type":"keyword"
        },
        "sold": {
          "type":"date"
        }
      }
    }
  }
}

POST /cars/transactions/_bulk
{ "index": {}}
{ "price" : 10000, "color" : "red", "make" : "honda", "sold" : "2014-10-28" }
{ "index": {}}
{ "price" : 20000, "color" : "red", "make" : "honda", "sold" : "2014-11-05" }
{ "index": {}}
{ "price" : 30000, "color" : "green", "make" : "ford", "sold" : "2014-05-18" }
{ "index": {}}
{ "price" : 15000, "color" : "blue", "make" : "toyota", "sold" : "2014-07-02" }
{ "index": {}}
{ "price" : 12000, "color" : "green", "make" : "toyota", "sold" : "2014-08-19" }
{ "index": {}}
{ "price" : 20000, "color" : "red", "make" : "honda", "sold" : "2014-11-05" }
{ "index": {}}
{ "price" : 80000, "color" : "red", "make" : "bmw", "sold" : "2014-01-01" }
{ "index": {}}
{ "price" : 25000, "color" : "blue", "make" : "ford", "sold" : "2014-02-12" }

----------Filter Aggregation-------

红色车的数量

POST /cars/transactions/_search?size=0
{
    "aggs" : {
        "red_cars" : {
            "filter" : { "term": { "color": "red" } }
        }
    }
}

----------Filters Aggregation-------

统计红色车、蓝色车各多少个

POST /cars/transactions/_search
{
  "size": 0,
  "aggs" : {
    "cars" : {
      "filters" : {
        "filters" : {
          "red_cars" :   { "match" : { "color" : "red"   }},
          "blue_cars" : { "match" : { "color" : "blue" }}
        }
      }
    }
  }
}

统计红色车、蓝色车各多少个，并计算两种颜色车的平均价格

POST /cars/transactions/_search
{
  "size": 0,
  "aggs" : {
    "cars" : {
      "filters" : {
        "filters" : {
          "red_cars" :   { "match" : { "color" : "red"   }},
          "blue_cars" : { "match" : { "color" : "blue" }}
        }
      },
      "aggs" : {
          "avg_price" : { "avg" : { "field" : "price" } }
      }
    }
  }
}

----------Date Histogram Aggregation-------

每月销售多少台汽车

interval参数: year, quarter, month, week, day, hour, minute, second
interval参数：还可以写具体的时间，比如24h,90m

GET /cars/transactions/_search
{
   "size" : 0,
   "aggs": {
      "sales_over_time": {
         "date_histogram": {
            "field": "sold",
            "interval": "month", 
            "format": "yyyy-MM-dd" 
         }
      }
   }
}

指定周期90分钟

GET /cars/transactions/_search
{
   "size" : 0,
   "aggs": {
      "sales_over_time": {
         "date_histogram": {
            "field": "sold",
            "interval": "90m", 
            "format": "yyyy-MM-dd HH:mm:ss" 
         }
      }
   }
}

加入keyed参数,使返回的buckets不作为一个数组返回

GET /cars/transactions/_search
{
   "size" : 0,
   "aggs": {
      "sales_over_time": {
         "date_histogram": {
            "field": "sold",
            "interval": "month", 
            "format": "yyyy-MM-dd",
            "keyed":true
         }
      }
   }
}

----------Date Range Aggregation-------

按照售卖日期范围统计车辆数量

GET /cars/transactions/_search
{
  "size": 0,
  "aggs": {
    "range": {
      "date_range": {
        "field": "sold",
        "format": "yyyy-MM-dd",
        "ranges": [
          {"from": "now-36M/M"},
          {"to": "now-24M/M"},
          {"from": "now-36M/M","to": "now-12M/M"}
        ]
      }
    }
  }
}

加入keyed参数,使返回的buckets不作为一个数组返回，并指定key值

GET /cars/transactions/_search
{
  "size": 0,
  "aggs": {
    "range": {
      "date_range": {
        "field": "sold",
        "format": "yyyy-MM-dd",
        "ranges": [
          {"from": "now-36M/M","key":"36months"},
          {"to": "now-24M/M","key":"2years_ago"},
          {"from": "now-36M/M","to": "now-12M/M"}
        ],
        "keyed":true
      }
    }
  }
}

按照售卖日期范围统计车辆数量，并计算该周期内的平均售卖价格

GET /cars/transactions/_search
{
  "size": 0,
  "aggs": {
    "range": {
      "date_range": {
        "field": "sold",
        "format": "yyyy-MM-dd",
        "ranges": [
          {"from": "now-36M/M","key":"36months"},
          {"to": "now-24M/M","key":"2years_ago"},
          {"from": "now-36M/M","to": "now-12M/M"}
        ],
        "keyed":true
      },
      "aggs" : {
          "avg_price" : { "avg" : { "field" : "price" } }
      }
    }
  }
}

----------Histogram Aggregation-------

直方图，按照20000为区间进行分桶

GET /cars/transactions/_search
{
    "size" : 0,
    "aggs" : {
        "colors" : {
            "histogram" : {
              "field" : "price",
              "interval": 20000
            }
        }
    }
}

min_doc_count参数，限制桶内至少有几个才显示

GET /cars/transactions/_search
{
    "size" : 0,
    "aggs" : {
        "colors" : {
            "histogram" : {
              "field" : "price",
              "interval": 20000,
              "min_doc_count": 1
            }
        }
    }
}

extended_bounds参数，扩展显示范围

GET /cars/transactions/_search
{
    "size" : 0,
    "aggs" : {
        "colors" : {
            "histogram" : {
              "field" : "price",
              "interval": 20000,
              "extended_bounds": {
                    "min" : 0,
                    "max" : 200000
              }
            }
        }
    }
}

增加排序,按照桶名降序

GET /cars/transactions/_search
{
    "size" : 0,
    "aggs" : {
        "colors" : {
            "histogram" : {
              "field" : "price",
              "interval": 20000,
              "order" : { "_key" : "desc" }
            }
        }
    }
}

增加排序,按照统计数量排序

GET /cars/transactions/_search
{
    "size" : 0,
    "aggs" : {
        "colors" : {
            "histogram" : {
              "field" : "price",
              "interval": 20000,
              "order" : { "_count" : "desc" }
            }
        }
    }
}

直方图，按照20000为区间进行分桶，并进行汇总

GET /cars/transactions/_search
{
   "size" : 0,
   "aggs":{
      "price":{
         "histogram":{ 
            "field": "price",
            "interval": 20000
         },
         "aggs":{
            "price_sum": {
               "sum": { 
                 "field" : "price"
               }
             }
         }
      }
   }
}

直方图，按照20000为区间进行分桶，并进行汇总

按照子聚合的指标进行排序

GET /cars/transactions/_search
{
   "size" : 0,
   "aggs":{
      "price":{
         "histogram":{ 
            "field": "price",
            "interval": 20000,
            "order":{ "price_sum.value" : "desc" }
         },
         "aggs":{
            "price_sum": {
               "sum": { 
                 "field" : "price"
               }
             }
         }
      }
   }
}

增加keyed参数

GET /cars/transactions/_search
{
   "size" : 0,
   "aggs":{
      "price":{
         "histogram":{ 
            "field": "price",
            "interval": 20000,
            "order":{ "price_sum.value" : "desc" }
            ,"keyed":true
         },
         "aggs":{
            "price_sum": {
               "sum": { 
                 "field" : "price"
               }
             }
         }
      }
   }
}

----------Terms Aggregation-------

按照某个字段的词条进行分桶

在每个分片上先获取前几个数量最多的词条，然后再整体二次重排，所以可能会有误差

GET /cars/transactions/_search
{
    "size": 0, 
    "aggs" : {
        "make_terms" : {
            "terms" : {
                "field" : "make"
            }
        }
    }
}

按照词条的字母顺序排序

GET /cars/transactions/_search
{
    "size": 0, 
    "aggs" : {
        "make_terms" : {
            "terms" : {
                "field" : "make",
                "order" : { "_term" : "asc" }
            }
        }
    }
}

min_doc_count：用于限制只提取出现次数大于多少次的词条

GET /cars/transactions/_search
{
    "size": 0, 
    "aggs" : {
        "make_terms" : {
            "terms" : {
                "field" : "make",
                "min_doc_count": 3
            }
        }
    }
}

使用脚本,进行修改field内容

GET /cars/transactions/_search
{
    "size": 0, 
    "aggs" : {
        "make_terms" : {
            "terms" : {
                "script" : {
                    "inline": "'make:'+doc['make'].value",
                    "lang": "painless"
                }
            }
        }
    }
}

同上

GET /cars/transactions/_search
{
    "size": 0, 
    "aggs" : {
        "make_terms" : {
            "terms" : {
                "field" : "make",
                "script" : {
                    "inline" : "'make: ' +_value",
                    "lang" : "painless"
                }
            }
        }
    }
}

使用正则表达式过滤词条

GET /cars/transactions/_search
{
    "size": 0, 
    "aggs" : {
        "make_terms" : {
            "terms" : {
                "field" : "make",
                "include" : ".*o.*",
                "exclude" : "f.*"
            }
        }
    }
}

使用精确指定的词条进行分桶

GET /cars/transactions/_search
{
    "size": 0, 
    "aggs" : {
        "make_terms" : {
            "terms" : {
                "field" : "make",
                 "include" : ["mazda", "honda"]
            }
        }
    }
}

----------Range Aggregation-------

按照指定的范围区间分桶，并计算数量

GET /cars/transactions/_search
{
    "size": 0, 
    "aggs" : {
        "price_ranges" : {
            "range" : {
                "field" : "price",
                "ranges" : [
                    { "to" : 20000 },
                    { "from" : 20000, "to" : 50000 },
                    { "from" : 50000 }
                ]
            }
        }
    }
}

用script脚本指定field

GET /cars/transactions/_search
{
    "size": 0, 
    "aggs" : {
        "price_ranges" : {
            "range" : {
                "script" : {
                    "lang": "painless",
                    "inline": "doc['price'].value"
                },
                "ranges" : [
                    { "to" : 20000 },
                    { "from" : 20000, "to" : 50000 },
                    { "from" : 50000 }
                ]
            }
        }
    }
}

在分桶前，通过脚本更改值

GET /cars/transactions/_search
{
    "size": 0, 
    "aggs" : {
        "price_ranges" : {
            "range" : {
                "field" :"price",
                "script" : {
                    "lang": "painless",
                    "inline": "_value * params.rate",
                    "params" : {
                        "rate" : 2.5
                    }
                },
                "ranges" : [
                    { "to" : 20000 },
                    { "from" : 20000, "to" : 50000 },
                    { "from" : 50000 }
                ]
            }
        }
    }
}

----------Global Aggregation-------

用global来计算所有的文档

GET /cars/transactions/_search?size=0
{
    "query" : {
        "match" : { "make" : "honda" }
    },
    "aggs" : {
        "all_makes" : {
            "global" : {}, 
            "aggs" : { 
                "avg_price" : { "avg" : { "field" : "price" } }
            }
        },
        "honda_make": { "avg" : { "field" : "price" } }
    }
}

验证一下global计算是否正确

GET /cars/transactions/_search?size=0
{
    "query" : {
        "match_all" : { }
    },
    "aggs" : {
        "all_make": { "avg" : { "field" : "price" } }
    }
}

----------IP Range Aggregation-------

DELETE ips
PUT ips
{
  "mappings": {
    "transactions": {
      "properties": {
        "ip": {
          "type":"ip"
        }
      }
    }
  }
}

POST /ips/doc/_bulk
{ "index": {}}
{ "ip" : "192.168.1.1"}
{ "index": {}}
{ "ip" : "192.168.1.10"}
{ "index": {}}
{ "ip" : "192.168.1.102"}
{ "index": {}}
{ "ip" : "192.168.1.150"}
{ "index": {}}
{ "ip" : "192.168.1.160"}
{ "index": {}}
{ "ip" : "192.168.1.250"}

按照指定的ip范围分桶，并统计数量

GET /ips/doc/_search
{
    "size": 0, 
    "aggs" : {
        "ip_ranges" : {
            "ip_range" : {
                "field" : "ip",
                "ranges" : [
                    {"from" : "192.168.1.1" },
                    {"to" : "192.168.2.1" },
                    {"from" : "192.168.1.1","to" : "192.168.3.200" }
                ]
            }
        }
    }
}

通过子网掩码范围分桶

192.168.1.0/24表示：192.168.1.1至192.168.1.254

192.168.2.0/25：192.168.2.1至192.168.2.126

GET /ips/doc/_search
{
    "size": 0, 
    "aggs" : {
        "ip_ranges" : {
            "ip_range" : {
                "field" : "ip",
                "ranges" : [
                    { "mask" : "192.168.1.0/24" },
                    { "mask" : "192.168.2.0/25" }
                ]
            }
        }
    }
}

加入keyed参数

GET /ips/doc/_search
{
    "size": 0, 
    "aggs" : {
        "ip_ranges" : {
            "ip_range" : {
                "field" : "ip",
                "ranges" : [
                    { "mask" : "192.168.1.0/24" },
                    { "mask" : "192.168.2.0/25" }
                ],
                "keyed": true
            }
        }
    }
}

----------Geo Distance Aggregation-------

DELETE /museums
PUT /museums
{
    "mappings": {
        "doc": {
            "properties": {
                "location": {
                    "type": "geo_point"
                }
            }
        }
    }
}

POST /museums/doc/_bulk?refresh
{"index":{"_id":1}}
{"location": "52.374081,4.912350", "name": "NEMO Science Museum"}
{"index":{"_id":2}}
{"location": "52.369219,4.901618", "name": "Museum Het Rembrandthuis"}
{"index":{"_id":3}}
{"location": "52.371667,4.914722", "name": "Nederlands Scheepvaartmuseum"}
{"index":{"_id":4}}
{"location": "51.222900,4.405200", "name": "Letterenhuis"}
{"index":{"_id":5}}
{"location": "48.861111,2.336389", "name": "Musée du Louvre"}
{"index":{"_id":6}}
{"location": "48.860000,2.327000", "name": "Musée d'Orsay"}

指定坐标点多少距离范围内的分桶文档，默认单位:m（米）

POST /museums/_search?size=0
{
    "aggs" : {
        "rings_around_amsterdam" : {
            "geo_distance" : {
                "field" : "location",
                "origin" : "52.3760, 4.894",
                "ranges" : [
                    { "to" : 100000 },
                    { "from" : 100000, "to" : 300000 },
                    { "from" : 300000 }
                ]
            }
        }
    }
}

指定单位为公里

可以使用：mi (miles英里), in (inches英寸), yd (yards码尺), km (kilometers), cm (centimeters), mm (millimeters).

POST /museums/_search?size=0
{
    "aggs" : {
        "rings_around_amsterdam" : {
            "geo_distance" : {
                "field" : "location",
                "origin" : "52.3760, 4.894",
                "unit" : "km",
                "ranges" : [
                    { "to" : 100000 },
                    { "from" : 100000, "to" : 300000 },
                    { "from" : 300000 }
                ]
            }
        }
    }
}

指定距离模式

distance_type：arc弧度（默认，精度高，计算准确），plane（性能更好，速度更快，但精度稍差）

POST /museums/_search?size=0
{
    "aggs" : {
        "rings" : {
            "geo_distance" : {
                "field" : "location",
                "origin" : "52.3760, 4.894",
                "unit" : "km",
                "distance_type" : "plane",
                "ranges" : [
                    { "to" : 100 },
                    { "from" : 100, "to" : 300 },
                    { "from" : 300 }
                ]
            }
        }
    }
}

使用keyed

POST /museums/_search?size=0
{
    "aggs" : {
        "rings_around_amsterdam" : {
            "geo_distance" : {
                "field" : "location",
                "origin" : "52.3760, 4.894",
                "ranges" : [
                    { "to" : 100000 },
                    { "from" : 100000, "to" : 300000 },
                    { "from" : 300000 }
                ],
                "keyed": true
            }
        }
    }
}


作者：壹点零
链接：https://www.jianshu.com/p/f79309adb63b
来源：简书
著作权归作者所有。商业转载请联系作者获得授权，非商业转载请注明出处。

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