SQLite3中位数与2列偏移量子查询分组

时间:2018-09-06 20:38:07

标签: sql sqlite

我正在使用sqlite3,并试图获取不同组的中位数。我目前正在使用以下查询

with data as (
select
t1.Name,
t1.Direction,
t1.Time a,
t2.Time b
from
cart t1 join cart t2 on t1.Time < t2.Time and t1.Name = t2.Name and t1.Direction = t2.Direction)
select Name, Direction, (a+b)/2.0 val from data order by Name, Direction, val

输出以下内容:

"Name"  "Direction" "val"
"asdf"  "w"         "1.5"
"asdf"  "w"         "2.0"
"asdf"  "w"         "2.5"
"asdf"  "z"         "3.5"
"asdf"  "z"         "4.0"
"asdf"  "z"         "4.5"
"fdas"  "w"         "7.5"
"fdas"  "w"         "8.0"
"fdas"  "w"         "8.5"
"fdas"  "z"         "5.5"
"fdas"  "z"         "6.0"
"fdas"  "z"         "6.5"

从这一点出发,我想找到所有唯一的“名称/方向”对的中值。

预期结果:

Name Direction Val
asdf w         2.0
asdf z         4.0
fdas w         8.0
fdas z         6.0

或者如果更容易使用,还可以使用以下输出将“名称”和“方向”合并为一个唯一的ID

Name   Val
asdfw  2.0
asdfz  4.0
fdasw  8.0
fdasz  6.0

原始表格数据如下:

"Name"  "Direction" "Time"
"fdas"  "w" "8"
"fdas"  "w" "9"
"fdas"  "w" "7"
"fdas"  "z" "7"
"fdas"  "z" "6"
"fdas"  "z" "5"
"asdf"  "z" "5"
"asdf"  "z" "4"
"asdf"  "z" "3"
"asdf"  "w" "3"
"asdf"  "w" "2"
"asdf"  "w" "1"

更新

通过以下查询,我已经更加接近了。剩下的唯一问题是找到所需的偏移量查询。目前,我已经使用以下offset 3对其进行了硬编码,但是需要获取中心行。我已经尝试过(select idx from calcs where data2.Name = calcs.Name and data2.Direction = calcs.Direction),但是随后出现此错误no such table: calcs: with data2

with data2 as (
with data as (
select
t1.Name,
t1.Direction,
t1.Time a,
t2.Time b
from
cart t1 join cart t2 on t1.Time < t2.Time and t1.Name = t2.Name and t1.Direction = t2.Direction)
select Name, Direction, (a+b)/2.0 c from data order by Name, Direction, c
) select
    Name,
    Direction,
    (select c from
        (select c from data2 where data2.Name = calcs.Name and data2.Direction = calcs.Direction
            order by c
            limit 1
            offset 2 ) subset
    order by subset.c) tt
from
(select Name, Direction, round(COUNT(*)/2.0) idx from data2 group by Name, Direction) calcs

1 个答案:

答案 0 :(得分:0)

使用另一个子查询

with data as (
select
t1.Name,
t1.Direction,
t1.Time a,
t2.Time b
from
cart t1 join cart t2 
on t1.Time < t2.Time and t1.Name = t2.Name 
and t1.Direction = t2.Direction
),
data2 as 
  (
 select Name, Direction, 
 (a+b)/2.0 as val 
 from data 
 order by Name, Direction, val
  ) select Name,Direction,avg(val) as mdval from data2 group by 
  Name,Direction

或者仅在第二个查询中使用聚合

with data as (
select
t1.Name,
t1.Direction,
t1.Time a,
t2.Time b
from
cart t1 join cart t2 on t1.Time < t2.Time and t1.Name = t2.Name and t1.Direction = t2.Direction
)
select Name, Direction, avg((a+b)/2.0) as val
from data group by Name, Direction
order by Name, Direction, val