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TSQL Som per groep voor maandelijkse rapporten

Probeer deze zoekopdracht

Ik heb een deel van het jaar en de maand uit de datum gehaald, dus groepering gebeurt voor elke maand van een bepaald jaar.

select 
   shipping_company, 
   SUBSTRING(ship_date, 1, 6), 
   shipping_category, 
   sum(convert(decimal(10,2),shipping_cost))
from 
   tbl
group by 
   shipping_company, 
   SUBSTRING(ship_date, 1, 6), 
   shipping_category

SQL FIDDLE :

| SHIPPING_COMPANY | COLUMN_1 | SHIPPING_CATEGORY | COLUMN_3 |
--------------------------------------------------------------
|              DHL |   201201 |              CD'S |      6.5 |
|              DHL |   201202 |              CD'S |      5.5 |
|              DHL |   201203 |              CD'S |     46.5 |
|              DHL |   201205 |              CD'S |      3.5 |
|              DHL |   201303 |              CD'S |      3.5 |
|              DHL |   201304 |              CD'S |        8 |
|              DHL |   201305 |              CD'S |      4.5 |
|              UPS |   201203 |              CD'S |      5.5 |
|              UPS |   201203 |           Records |      4.5 |
|              UPS |   201203 |             Tapes |      3.5 |
|              UPS |   201303 |              CD'S |       18 |
|              UPS |   201303 |           Records |      4.5 |
|              UPS |   201303 |             Tapes |    12.44 |
|             USPS |   201203 |              CD'S |       68 |
|             USPS |   201302 |              CD'S |     36.5 |
|             USPS |   201303 |              CD'S |       37 |

Als u een jaartotaal wilt, kunt u WITH ROLLUP . gebruiken .

OPMERKING Beschouw het jaartotaal als Maandelijks totaal...

Query 1 :

select  
CASE WHEN (GROUPING(shipping_company) = 1) THEN 'TOTAL'
            ELSE shipping_company END AS shipping_company,
CASE WHEN (GROUPING(SUBSTRING(ship_date, 1, 6)) = 1) THEN 'TOTAL'
            ELSE SUBSTRING(ship_date, 1, 6) END AS Date,
CASE WHEN (GROUPING(shipping_category) = 1) THEN 'Yearly TOTAL'
            ELSE shipping_category END AS shipping_category,
sum(convert(decimal(10,2),shipping_cost))
from tbl
group by shipping_company, SUBSTRING(ship_date, 1, 6), 
shipping_category WITH rollup

SQL FIDDLE :

| SHIPPING_COMPANY |   DATE | SHIPPING_CATEGORY | COLUMN_3 |
------------------------------------------------------------
|              DHL | 201201 |              CD'S |      6.5 |
|              DHL | 201201 |      Yearly TOTAL |      6.5 |
|              DHL | 201202 |              CD'S |      5.5 |
|              DHL | 201202 |      Yearly TOTAL |      5.5 |
|              DHL | 201203 |              CD'S |     46.5 |
|              DHL | 201203 |      Yearly TOTAL |     46.5 |
|              DHL | 201205 |              CD'S |      3.5 |
|              DHL | 201205 |      Yearly TOTAL |      3.5 |
|              DHL | 201303 |              CD'S |      3.5 |
|              DHL | 201303 |      Yearly TOTAL |      3.5 |
|              DHL | 201304 |              CD'S |        8 |
|              DHL | 201304 |      Yearly TOTAL |        8 |
|              DHL | 201305 |              CD'S |      4.5 |
|              DHL | 201305 |      Yearly TOTAL |      4.5 |
|              DHL |  TOTAL |      Yearly TOTAL |       78 |
|              UPS | 201203 |              CD'S |      5.5 |
|              UPS | 201203 |           Records |      4.5 |
|              UPS | 201203 |             Tapes |      3.5 |
|              UPS | 201203 |      Yearly TOTAL |     13.5 |
|              UPS | 201303 |              CD'S |       18 |
|              UPS | 201303 |           Records |      4.5 |
|              UPS | 201303 |             Tapes |    12.44 |
|              UPS | 201303 |      Yearly TOTAL |    34.94 |
|              UPS |  TOTAL |      Yearly TOTAL |    48.44 |
|             USPS | 201203 |              CD'S |       68 |
|             USPS | 201203 |      Yearly TOTAL |       68 |
|             USPS | 201302 |              CD'S |     36.5 |
|             USPS | 201302 |      Yearly TOTAL |     36.5 |
|             USPS | 201303 |              CD'S |       37 |
|             USPS | 201303 |      Yearly TOTAL |       37 |
|             USPS |  TOTAL |      Yearly TOTAL |    141.5 |
|            TOTAL |  TOTAL |      Yearly TOTAL |   267.94 |

BEWERKEN

Ok heb je probleem in je bijgewerkte vragen. Beide gevallen van de If-instructie zouden hetzelfde datatype van het resultaat moeten retourneren, dus wanneer u probeert de datumwaarden terug te gieten naar numeriek, retourneert uw ware geval varchar datatypeveld dat TOTAL is en het veld else retourneert een numeric type veld, dus dit veroorzaakt de fout.

Om het op te lossen, moet u de case-statement verwijderen, dan zou het correct werken volgens uw behoefte.

select  
CASE WHEN (GROUPING(shipping_company) = 1) THEN 'TOTAL'
            ELSE shipping_company END AS shipping_company,
CONVERT(numeric, (SUBSTRING(ship_date, 1, 6))) AS Date,
CASE WHEN (GROUPING(shipping_category) = 1) THEN 'Yearly TOTAL'
            ELSE shipping_category END AS shipping_category,
sum(convert(decimal(10,2),shipping_cost))
from tbl
group by shipping_company, (CONVERT(numeric, SUBSTRING(ship_date, 1, 6))), 
shipping_category WITH rollup

SQL FIDDLE :

| SHIPPING_COMPANY |   DATE | SHIPPING_CATEGORY | COLUMN_3 |
------------------------------------------------------------
|              DHL | 201201 |              CD'S |      6.5 |
|              DHL | 201201 |      Yearly TOTAL |      6.5 |
|              DHL | 201202 |              CD'S |      5.5 |
|              DHL | 201202 |      Yearly TOTAL |      5.5 |
|              DHL | 201203 |              CD'S |     46.5 |
|              DHL | 201203 |      Yearly TOTAL |     46.5 |
|              DHL | 201205 |              CD'S |      3.5 |
|              DHL | 201205 |      Yearly TOTAL |      3.5 |
|              DHL | 201303 |              CD'S |      3.5 |
|              DHL | 201303 |      Yearly TOTAL |      3.5 |
|              DHL | 201304 |              CD'S |        8 |
|              DHL | 201304 |      Yearly TOTAL |        8 |
|              DHL | 201305 |              CD'S |      4.5 |
|              DHL | 201305 |      Yearly TOTAL |      4.5 |
|              DHL | (null) |      Yearly TOTAL |       78 |
|              UPS | 201203 |              CD'S |      5.5 |
|              UPS | 201203 |           Records |      4.5 |
|              UPS | 201203 |             Tapes |      3.5 |
|              UPS | 201203 |      Yearly TOTAL |     13.5 |
|              UPS | 201303 |              CD'S |       18 |
|              UPS | 201303 |           Records |      4.5 |
|              UPS | 201303 |             Tapes |    12.44 |
|              UPS | 201303 |      Yearly TOTAL |    34.94 |
|              UPS | (null) |      Yearly TOTAL |    48.44 |
|             USPS | 201203 |              CD'S |       68 |
|             USPS | 201203 |      Yearly TOTAL |       68 |
|             USPS | 201302 |              CD'S |     36.5 |
|             USPS | 201302 |      Yearly TOTAL |     36.5 |
|             USPS | 201303 |              CD'S |       37 |
|             USPS | 201303 |      Yearly TOTAL |       37 |
|             USPS | (null) |      Yearly TOTAL |    141.5 |
|            TOTAL | (null) |      Yearly TOTAL |   267.94 |

Dus nu moet je rekening houden met null-waarden in de datumkolommen. Ik hoop dat dit je twijfels beantwoordt.

Ik hoop dat dit helpt......




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