Показатель медианного расчета Teradata

Question

Треска внизу дает результат, как показано. Я хотел бы отображать медианные значения для всех соответствующих строк вместо «?». Что я делаю не так?

Он должен отображать среднее значение.

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

Последний запрос в моем post on MEDIAN показывает, как получить его в качестве OLAP результата, необходимо добавить еще один уровень вложенности:

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 

Я удалил все заказ sales_segment, pickup_yyyymm DESc, потому что это не нужно.

Еще одно замечания по расчету pickup_yyyymm, вам не нужна подстрока:

TRIM(CAST (A.pckup_dt FORMAT 'yyyy/mm')) AS pickup_yyyymm, 

бы быть более эффективным, если нет никакого бросания нанизывать на всех:

EXTRACT(YEAR FROM A.pckup_dt) * 100 + EXTRACT(MONTH FROM A.pckup_dt)