摘要:统计每个分组里的最大最小记录实现完整见需求得到每个拥有最多人口的城市和拥有最小人口的城市以及对应的人口数效果见实现相比的直观就要绕很多了方案一需要设置一个较大值默认的还不够用参考方案二每个分组里面分别按升序降序排序人为分配一个序号均取序号
统计每个分组里的最大最小记录 mongo实现
{ "_id" : "01001", "city" : "AGAWAM", "pop" : 15338, "state" : "MA" }
完整json见: http://media.mongodb.org/zips...
需求得到每个state拥有最多人口的城市和拥有最小人口的城市以及对应的人口数
db.zipcodes.aggregate( {$group: {_id:{state:"$state",city:"$city"}, popPerCity:{$sum:"$pop"} } }, {$sort: {popPerCity:1} }, {$group: { _id:"$_id.state", biggestCity:{$last:"$_id.city"}, biggestPop: {$last:"$popPerCity"}, smallestCity: {$first:"$_id.city"}, smallestPop: {$first:"$popPerCity"} }} )
效果
{ "_id" : "DE", "biggestCity" : "NEWARK", "biggestPop" : 111674, "smallestCity" : "BETHEL", "smallestPop" : 108 } { "_id" : "MS", "biggestCity" : "JACKSON", "biggestPop" : 204788, "smallestCity" : "CHUNKY", "smallestPop" : 79 } ...
见: https://docs.mongodb.com/manu...
Mysql实现相比mongo的直观 就要绕很多了
方案一# 需要设置一个较大值 默认的1024还不够用 SET SESSION group_concat_max_len = 20480; select state, substring_index(group_concat(city order by pop ),",",1) smallestCity, min(pop),substring_index(group_concat(city order by pop ),",",-1) biggestCity, max(pop) from (select state, city, sum(pop) pop from zipcode group by state, city) a group by state ;
参考
https://dev.mysql.com/doc/ref...
https://dev.mysql.com/doc/ref...
# 每个state分组里面分别按pop升序、降序排序 人为分配一个序号 均取序号一就得到了该分组的起止记录 select b.state, b.city smallestCity, b.pop smallestPop, c.city biggestCity, c.pop biggestPop from ( select state,city,pop,@rank:=if(@current_state=state, @rank+1, 1) rank, @current_state:=state from (select state, city, sum(pop) pop from zipcode group by state, city) a, (select @current_state:=NULL, @rank:=NULL) vars order by a.state,a.pop ) b , ( select state,city,pop,@rank:=if(@current_state=state, @rank+1, 1) rank, @current_state:=state from (select state, city, sum(pop) pop from zipcode group by state, city) a, (select @current_state:=NULL, @rank:=NULL) vars order by a.state,a.pop desc ) c where b.state = c.state and b.rank = 1 and c.rank = 1补充
建表语句
CREATE TABLE `zipcode` ( `id` int(11) NOT NULL AUTO_INCREMENT, `zipcode` varchar(10) NOT NULL, `city` varchar(30) NOT NULL, `pop` int(11) NOT NULL, `state` varchar(5) NOT NULL, PRIMARY KEY (`id`), UNIQUE KEY `zipcode` (`zipcode`), KEY `idx_state_city` (`state`,`city`) ) ENGINE=InnoDB DEFAULT CHARSET=utf8
json ==> batch insert sql
jq -c "[._id, .city, .pop, .state]" zips.json | sed "s/[(.*)]$/1/" | awk -F, "{print "insert into zipcode select null," $1"," $2","$3","$4";"}"
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