Versuchen Sie es mit dieser Abfrage
Ich habe den Jahres- und Monatsteil aus dem Datum extrahiert, sodass die Gruppierung für jeden Monat eines bestimmten Jahres erfolgt.
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 |
Wenn Sie die jährliche Summe wünschen, können Sie WITH ROLLUP verwenden .
HINWEIS Betrachten Sie die Jahressumme als Monatssumme...
Abfrage 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 |
BEARBEITEN
Ok, ich habe Ihr Problem in Ihren aktualisierten Abfragen. Beide Fälle der If-Anweisung sollten denselben Datentyp des Ergebnisses zurückgeben. Wenn Sie also versuchen, die Datumswerte wieder in numerische Werte umzuwandeln, gibt Ihr wahrer Fall varchar zurück Datentypfeld, das TOTAL ist und das Else-Feld gibt einen numeric zurück Geben Sie das Feld ein, sodass dies den Fehler verursacht.
Um es zu lösen, müssen Sie die Case-Anweisung entfernen, dann würde es gemäß Ihren Anforderungen ordnungsgemäß funktionieren.
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 |
Jetzt müssen Sie also mit Nullwerten in den Datumsspalten leben. Ich hoffe, das beantwortet Ihre Zweifel.
Hoffe das hilft......
