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']))