价格总和：

1,使用aggs   2,自己起个名字price_of_sum  3,求和sum   4，filed要求和的字段

GET /lib5/items/_search
{"aggs": {"price_of_sum": {"sum": {"field": "price"}}}
}

聚合查询结果：

{"took" : 414,"timed_out" : false,"_shards" : {"total" : 5,"successful" : 5,"skipped" : 0,"failed" : 0},"hits" : {"total" : 5,"max_score" : 1.0,"hits" : [{"_index" : "lib5","_type" : "items","_id" : "5","_score" : 1.0,"_source" : {"price" : null,"itemID" : "ID100127"}},{"_index" : "lib5","_type" : "items","_id" : "2","_score" : 1.0,"_source" : {"price" : 50,"itemID" : "ID100124"}},{"_index" : "lib5","_type" : "items","_id" : "4","_score" : 1.0,"_source" : {"price" : 30,"itemID" : "ID100125"}},{"_index" : "lib5","_type" : "items","_id" : "1","_score" : 1.0,"_source" : {"price" : 40,"itemID" : "ID100123"}},{"_index" : "lib5","_type" : "items","_id" : "3","_score" : 1.0,"_source" : {"price" : 25,"itemID" : "ID100124"}}]},"aggregations" : {"price_of_sum" : {"value" : 145.0}}
}

发现好多信息，但是我们并不关系我只想看聚合结果，只需要加一个 "size": 0 

 

 

 

#练习 对有唱歌兴趣的用户按年龄分组
GET /lib4/user/_search
{"query": {"match": {"interests": "唱歌"}},"aggs": {"age_of_group": {"terms": {"field": "age"}}}}

 

#2.9聚合查询
#(1)sum
GET /lib5/items/_search 
{ "size":0, "aggs":{ "price_of_sum":{ "sum":{ "field": "price" }}}
}#(2)min
GET /lib5/items/_search 
{"size":0, "aggs":{"price_of_min":{"min":{ "field": "price" }}}
}#(3)max
GET /lib5/items/_search
{ "size":0, "aggs":{"price_of_max":{ "max":{ "field": "price"}}}
}#(4)avg
GET /lib5/items/_search 
{ "size" :0,"aggs":{ "price_of_avg":{"avg":{"field": "price" }}}
}#(5)cardinality:求基数
GET /lib5/items/_search 
{ "size" :0, "aggs":{"price_of_cardi": {"cardinality":{ "field": "price" }}}
}#(6)terms:分组
GET /lib5/items/_search
{ "size":0,"aggs":{"price_group_by":{"terms":{ "field": "price" }}}
}#对那些有唱歌兴趣的用户按年龄分组
GET /lib3/user/_search 
{ "query":{"match":{"interests": "changge" }}, "size":0, "aggs":{ "age_group_by":{"terms":{"field": "age", "order":{"avg_of_age": "desc" }}, "aggs":{"avg_of_age":{"avg":{ "field": "age"}}}}}
}