Teradata Median Berechnung Anzeige

Question

Der Kabeljau unten gibt die Ausgabe wie gezeigt. Ich möchte die Medianwerte für alle entsprechenden Zeilen anstelle von "?" Anzeigen. Was mache ich falsch?

Es sollte den Medianwert angezeigt werden soll.

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

Die letzte Abfrage in meinem post on MEDIAN zeigt, wie die es als OLAP-Ergebnis zu erhalten, müssen Sie eine weitere Verschachtelungsebene hinzuzufügen:

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 

ich die ganze Reihenfolge von sales_segment entfernt, pickup_yyyymm ab, weil es nicht benötigt.

Eine weitere Bemerkung über die pickup_yyyymm Berechnung, brauchen Sie nicht einen Teil:

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

effizienter wären, wenn überhaupt keinen Guss bespannen gibt es:

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