我想计算销售团队与特定团队成员相比的生产力。
给出此查询:
with t1 (rep_id, place_id, sales_qty) as (values
(0, 1, 3),
(1, 1, 1),
(1, 2, 2),
(1, 3, 4),
(1, 4, 1),
(2, 2, 1),
(2, 3, 3)
)
select
rep_id,
count(distinct place_id) as qty_places,
sum(sales_qty) as qty,
sum(sales_qty) / count(place_id) as productivity
from
t1
group by
rep_id
结果:
rep_id | qty_places | qty_sales | productivity
---------------------------------------------
0 | 1 | 6 | 6
1 | 4 | 22 | 5
2 | 2 | 9 | 4
我想基于rep_id = 1的生产力来提高团队的生产力,所以我想要这样的东西:
rep_id | qty_places | qty_sales | productivity | productivity %
--------------------------------------------------------------
0 | 1 | 6 | 6 | 1.2
1 | 4 | 22 | 5 | 1 <- Baseline
2 | 2 | 9 | 4 | 0.8
如何在PostgreSQL上使用SQL来实现?
答案 0 :(得分:1)
这应该可以解决问题
with t1 (rep_id, place_id, sales_qty) as (values
(0, 1, 3),
(1, 1, 1),
(1, 2, 2),
(1, 3, 4),
(1, 4, 1),
(2, 2, 1),
(2, 3, 3)
),
cte as (select
rep_id,
count(distinct place_id) as qty_places,
sum(sales_qty) as qty,
sum(sales_qty) / count(place_id) as productivity
from
t1
group by
rep_id)
select rep_id, qty_places, qty, productivity,
productivity::numeric/(select productivity::numeric from cte where rep_id = 1)
as productivity_percent from cte
答案 1 :(得分:0)
我们可以尝试在单独的CTE中计算rep_id = 1
数字,然后将其交叉连接到当前表:
WITH cte AS (
SELECT SUM(CASE WHEN rep_id = 1 THEN sales_qty ELSE 0 END) /
COUNT(CASE WHEN rep_id = 1 THEN 1 END) AS baseline
FROM t1
)
SELECT
rep_id,
COUNT(DISTINCT place_id) AS qty_places,
SUM(sales_qty) AS qty,
SUM(sales_qty) / COUNT(place_id) AS productivity,
(1.0*SUM(sales_qty) / COUNT(place_id)) / t2.baseline AS productivity_pct
FROM t1
CROSS JOIN cte t2
GROUP BY
t1.rep_id, t2.baseline;
答案 2 :(得分:0)
仅使用条件聚合。我会使用子查询来做到这一点:
select t.*,
productivity / max(productivity) filter (where rep_id = 1) over ()
from (select rep_id,
count(distinct place_id) as qty_places,
sum(sales_qty) as qty,
sum(sales_qty)::numeric / count(place_id) as productivity
from t1
group by rep_id
) t
Here是db <>小提琴。
请注意,您实际上可以在不使用子查询的情况下表达此信息,但是我认为这只会使查询更加复杂。