Teradata median calculation display - teradata

Question

The cod below gives the output as shown. I would like to display the median values for all the respective rows instead of "?". What am I doing wrong?
It should display the median value.
SELECT
sales_segment,
pickup_yyyymm,
Days,
COUNT(*) over(partition by sales_segment,pickup_yyyymm order by sales_segment,pickup_yyyymm desc) AS no_of_records,
SUM(Days) over(partition by sales_segment,pickup_yyyymm order by sales_segment,pickup_yyyymm desc) AS sum_days,
AVERAGE(Days) over(partition by sales_segment,pickup_yyyymm order by sales_segment,pickup_yyyymm desc) AS AVG_days,
Min(Days) over(partition by sales_segment,pickup_yyyymm order by sales_segment,pickup_yyyymm desc) AS Min_days,
MAX (Days) OVER(PARTITION BY sales_segment,pickup_yyyymm ORDER BY sales_segment,pickup_yyyymm DESC) AS Max_days,
CASE
WHEN ROW_NUMBER( ) OVER (PARTITION BY sales_segment,pickup_yyyymm ORDER BY Days) = COUNT(*) OVER (PARTITION BY sales_segment,pickup_yyyymm) / 2 +1
THEN
CASE
WHEN COUNT (*) OVER (PARTITION BY sales_segment,pickup_yyyymm) MOD 2=1 THEN Days
ELSE AVERAGE(Days) OVER(PARTITION BY sales_segment,pickup_yyyymm ORDER BY Days ROWS 1 PRECEDING)
END
END AS Median_Days
FROM
(SELECT
sales_segment,
pickup_yyyymm,
Days
FROM
(SELECT
A.shp_pro_nbr,
CASE
when b.sales_div_nbr=1 and b.sales_grp_nbr<>2 and b.sales_terr_nbr in (20,21,22,23,24,25,26,27,28,29,70,71,72,73,74,75,76,77,78,79) then 'FSAD'
when b.sales_div_nbr=1 and b.sales_grp_nbr<>2 and b.sales_terr_nbr in (30,31,32,33,34,35,36,37,38,39,50,51,52,53,54,55,56,57,58,59) then 'FSMD'
when b.sales_div_nbr=1 and b.sales_grp_nbr<>2 and b.sales_terr_nbr in (40,41,42,43,44,45,46,47,48,49) then 'FSSD'
when b.sales_div_nbr=1 and b.sales_grp_nbr<>2 then 'FS Other'
when b.sales_div_nbr=1 and b.sales_grp_nbr=2 and b.sales_org_nbr=7 and b.sales_area_nbr=3 then 'BSF'
when b.sales_div_nbr=1 and b.sales_grp_nbr=2 and b.sales_org_nbr=7 then 'BSI'
when b.sales_div_nbr=1 and b.sales_grp_nbr=2 and b.sales_org_nbr=8 then 'Presls'
when b.sales_div_nbr=2 then 'WWS'
when b.sales_div_nbr=3 then 'Specialty'
when b.sales_div_nbr=8 then 'Non-US'
when b.sales_div_nbr=90 then 'MKTG'
when b.sales_div_nbr=80 then 'WWS'
else 'None' end as sales_segment,
--A.eff_dt,
--A.pckup_dt,
SUBSTR( CAST(CAST (A.pckup_dt AS DATE) AS DATE FORMAT 'yyyy/mm/dd'),1,7) AS pickup_yyyymm,
(CAST( A.eff_dt AS DATE) - CAST (A.pckup_dt AS DATE) ) AS Days
FROM ISH_FEDXFGT_PROD_VIEW_DB.fxf_ship_rev_comp A
INNER JOIN UI_ISH_PROD_DB.sales_quarter_end_alignment B
ON A.payor_cust_nbr = B.cf_cust_nbr AND B.align_typ_cd ='P'AND fscl_qtr_nbr = 4 AND fscl_yr_nbr = 2016 AND B.prim_cvge_flg= 'Y'
AND CAST(A.pckup_dt AS DATE) BETWEEN ADD_MONTHS(CURRENT_DATE,-24) AND CURRENT_DATE
GROUP BY
1,2,3,4
) a
GROUP BY 1,2,3)b
--QUALIFY ROW_NUMBER( ) OVER (PARTITION BY b. sales_segment,b.pickup_yyyymm ORDER BY b.days)= COUNT(*) OVER PARTITION BY b.sales_segment,b. pickup_yyyymm) /2+1;
--GROUP BY 1,2;
--ORDER BY 1,2

Answer 1

The last query in my post on MEDIAN shows how to get the it as OLAP result, you need to add another nesting level:
SELECT
sales_segment,
pickup_yyyymm,
...,
MIN(Median_Days) over(partition by sales_segment,pickup_yyyymm) AS Median_Days
FROM
(
SELECT
sales_segment,
pickup_yyyymm,
Days,
COUNT(*) over(partition by sales_segment,pickup_yyyymm) AS no_of_records,
SUM(Days) over(partition by sales_segment,pickup_yyyymm) AS sum_days,
AVERAGE(Days) over(partition by sales_segment,pickup_yyyymm) AS AVG_days,
Min(Days) over(partition by sales_segment,pickup_yyyymm) AS Min_days,
MAX (Days) OVER(PARTITION BY sales_segment,pickup_yyyymm) AS Max_days,
CASE
WHEN ROW_NUMBER( ) OVER (PARTITION BY sales_segment,pickup_yyyymm ORDER BY Days) = COUNT(*) OVER (PARTITION BY sales_segment,pickup_yyyymm) / 2 +1
THEN
CASE
WHEN COUNT (*) OVER (PARTITION BY sales_segment,pickup_yyyymm) MOD 2=1 THEN Days
ELSE AVERAGE(Days) OVER(PARTITION BY sales_segment,pickup_yyyymm ORDER BY Days ROWS 1 PRECEDING)
END
END AS Median_Days
FROM
(
SELECT
sales_segment,
pickup_yyyymm,
Days
FROM
(
SELECT
A.shp_pro_nbr,
CASE
when b.sales_div_nbr=1 and b.sales_grp_nbr<>2 and b.sales_terr_nbr in (20,21,22,23,24,25,26,27,28,29,70,71,72,73,74,75,76,77,78,79) then 'FSAD'
when b.sales_div_nbr=1 and b.sales_grp_nbr<>2 and b.sales_terr_nbr in (30,31,32,33,34,35,36,37,38,39,50,51,52,53,54,55,56,57,58,59) then 'FSMD'
when b.sales_div_nbr=1 and b.sales_grp_nbr<>2 and b.sales_terr_nbr in (40,41,42,43,44,45,46,47,48,49) then 'FSSD'
when b.sales_div_nbr=1 and b.sales_grp_nbr<>2 then 'FS Other'
when b.sales_div_nbr=1 and b.sales_grp_nbr=2 and b.sales_org_nbr=7 and b.sales_area_nbr=3 then 'BSF'
when b.sales_div_nbr=1 and b.sales_grp_nbr=2 and b.sales_org_nbr=7 then 'BSI'
when b.sales_div_nbr=1 and b.sales_grp_nbr=2 and b.sales_org_nbr=8 then 'Presls'
when b.sales_div_nbr=2 then 'WWS'
when b.sales_div_nbr=3 then 'Specialty'
when b.sales_div_nbr=8 then 'Non-US'
when b.sales_div_nbr=90 then 'MKTG'
when b.sales_div_nbr=80 then 'WWS'
else 'None' end as sales_segment,
--A.eff_dt,
--A.pckup_dt,
SUBSTR( CAST(CAST (A.pckup_dt AS DATE) AS DATE FORMAT 'yyyy/mm/dd'),1,7) AS pickup_yyyymm,
(CAST( A.eff_dt AS DATE) - CAST (A.pckup_dt AS DATE) ) AS Days
FROM ISH_FEDXFGT_PROD_VIEW_DB.fxf_ship_rev_comp A
INNER JOIN UI_ISH_PROD_DB.sales_quarter_end_alignment B
ON A.payor_cust_nbr = B.cf_cust_nbr AND B.align_typ_cd ='P'AND fscl_qtr_nbr = 4 AND fscl_yr_nbr = 2016 AND B.prim_cvge_flg= 'Y'
AND CAST(A.pckup_dt AS DATE) BETWEEN ADD_MONTHS(CURRENT_DATE,-24) AND CURRENT_DATE
GROUP BY 1,2,3,4
) a
GROUP BY 1,2,3
)b
) as dt
I removed all the order by sales_segment,pickup_yyyymm desc because it's not needed.
Another remark on the pickup_yyyymm calculation, you don't need a substring:
TRIM(CAST (A.pckup_dt FORMAT 'yyyy/mm')) AS pickup_yyyymm,
Would be more efficient if there's no cast to string at all:
EXTRACT(YEAR FROM A.pckup_dt) * 100 + EXTRACT(MONTH FROM A.pckup_dt)