Elasticsearch: aggregation

Aggregation可不指定查询条件, 默认查询所有

 

求和:

 

以price进行分组

 

 

 

# 以price进行分组
get vanilla/_search
{
  "query":{
    "match_all": {}
 },
  "aggs":{
    "group_price":{
      "terms": {
        "field": "price",
        "size": 3  # 取分组前三
      }
    }
  }
}

# 最大值
get vanilla/_search
{
  "query":{
    "match_all": {}
 },
 "size": 0,
  "aggs":{
    "max_price":{
      "max":{
        "field": "price"
      }
    }
  }
}

# 默认查询所有
get vanilla/_search
{
  "aggs":{
    "max_price":{
      "max":{
        "field": "price"
      }
    }
  }
}

# 求和
get vanilla/_search
{
  "query":{
    "match_all": {}
  },
  "size":0,
  "aggs":{
    "max_price":{
      "sum":{
        "field": "price"
      }
    }
  }
}

 

利用Python插入测试数据

from elasticsearch import Elasticsearch


client = Elasticsearch('http://localhost:9200')

lst = [
  {'title': '面包', 'price': 19.9, 'description': '小面包非常好吃'},
  {'title': '旺仔牛奶', 'price': 29.9, 'description': '非常好喝'},
  {'title': '日本豆', 'price': 19.9, 'description': '日本豆非常好吃'},
  {'title': '小馒头', 'price': 19.9, 'description': '小馒头非常好吃'},
  {'title': '大辣片', 'price': 39.9, 'description': '大辣片非常好吃'},
  {'title': '透心凉', 'price': 9.9, 'description': '透心凉非常好喝'},
  {'title': '小浣熊', 'price': 19.9, 'description': '童年的味道'},
  {'title': '海苔', 'price': 49.9, 'description': '海的味道'},

]

# for item in lst:
#     client.index(index = 'vanilla', document = item)

# response = client.index(index = 'vanilla', document = doc)
# print(response['result'])

t1 = client.get(index = 'vanilla', id = '1')
print(t1['_source'])

client.indices.refresh(index = 'vanilla')

response = client.search(index = 'vanilla', query = {
  "match_all": {}
})

print(f'hits: {response["hits"]["total"]["value"]}')
for hit in response['hits']['hits']:
    print('title: {title:<8} price: {price: 5.2f} description: {description}'.format(**hit['_source']))