【场景】:输出最大值并列
【分类】:嵌套子查询、rank() ... ranking = 1
分析思路
难点:
1.最大值并列时如何输出并列的司机信息:使用窗口函数,并列排序
(1)统计每个城市中司机的平均评分、日均接单量和日均行驶里程数
- [使用]:分组查询
(2)对每个城市中司机按照平均评分降序排序
- [使用]:窗口函数 rank() 和 dense_rank()都可以并列排序
(3)统计每个城市中评分最高的司机平均评分、日均接单量和日均行驶里程数。按日均接单数升序排序
并列排序之后取 rank = 1的数据,最后按照日均接单数升序排序
-
[条件]:where ranking = 1
-
[使用]:order by avg_order_num
求解代码
方法一
with子句
with
main as(
#统计每个城市中司机的平均评分、日均接单量和日均行驶里程数
select
city,
driver_id,
round(avg(grade),1) as grade_avg,
round(count(distinct order_id)/count(distinct date(order_time)),1) as avg_order_num,
round(sum(mileage)/count(distinct date(order_time)),3) as avg_mileage
from tb_get_car_record
join tb_get_car_order using(order_id)
group by city,driver_id
)
,main1 as(
#对每个城市中司机按照平均评分降序排序
select
city,
driver_id,
grade_avg,
avg_order_num,
avg_mileage,
rank() over (partition by city order by grade_avg desc) as ranking
from main
)
#统计每个城市中评分最高的司机平均评分、日均接单量和日均行驶里程数。按日均接单数升序排序
select
city,
driver_id,
grade_avg,
avg_order_num,
avg_mileage
from main1
where ranking = 1
order by avg_order_num
方法二
from嵌套子查询
#统计每个城市中评分最高的司机平均评分、日均接单量和日均行驶里程数。按日均接单数升序排序
select
city,
driver_id,
grade_avg,
avg_order_num,
avg_mileage
from(
#对每个城市中司机按照平均评分降序排序
select
city,
driver_id,
grade_avg,
avg_order_num,
avg_mileage,
rank() over (partition by city order by grade_avg desc) as ranking
from(
#统计每个城市中司机的平均评分、日均接单量和日均行驶里程数
select
city,
driver_id,
round(avg(grade),1) as grade_avg,
round(count(distinct order_id)/count(distinct date(order_time)),1) as avg_order_num,
round(sum(mileage)/count(distinct date(order_time)),3) as avg_mileage
from tb_get_car_record
join tb_get_car_order using(order_id)
group by city,driver_id
) main
) main1
where ranking = 1
order by avg_order_num