Es gibt mehrere Möglichkeiten, Zeile für Spalte und Spalte für Zeile zu orakeln

1. Daten vorbereiten: REST-Tabelle

-- 创建表REST
CREATE TABLE REST (
  "ID" NUMBER,
  "AMOUNT" NUMBER(19,0),
  "MONTH" VARCHAR2(255 BYTE)
);

--执行添加数据语句
INSERT INTO "CERPAWCSADM"."REST" VALUES ('1', '100', 'Jan');
INSERT INTO "CERPAWCSADM"."REST" VALUES ('1', '100', 'Feb');
INSERT INTO "CERPAWCSADM"."REST" VALUES ('1', '66', 'Mar');
INSERT INTO "CERPAWCSADM"."REST" VALUES ('1', '77', 'Jun');
INSERT INTO "CERPAWCSADM"."REST" VALUES ('1', '88', 'Dec');
INSERT INTO "CERPAWCSADM"."REST" VALUES ('1', '12', 'Aug');
INSERT INTO "CERPAWCSADM"."REST" VALUES ('2', '22', 'Feb');
INSERT INTO "CERPAWCSADM"."REST" VALUES ('2', '33', 'Apr');
INSERT INTO "CERPAWCSADM"."REST" VALUES ('2', '232', 'Jul');
INSERT INTO "CERPAWCSADM"."REST" VALUES ('2', '43', 'Sep');
INSERT INTO "CERPAWCSADM"."REST" VALUES ('2', '544', 'Oct');
INSERT INTO "CERPAWCSADM"."REST" VALUES ('2', '65', 'Nov');

2. Daten abfragen

 3. Zeile zu Spalte

Methode 1: Use case when then-Methode

Gehäusezustand

Wenn der Wert 1 ist, wird der Wert 1 zurückgegeben

wenn Wert 2, dann Rückgabewert 2

..........

sonst Standardwert

Ende

-- 使用case when 方式
SELECT
	id,
	sum( CASE month WHEN 'Jan' THEN amount ELSE 0 END ) AS Jan_amount,
	sum( CASE month WHEN 'Feb' THEN amount ELSE 0 END ) AS Feb_amount,
	sum( CASE month WHEN 'Mar' THEN amount ELSE 0 END ) AS Mar_amount,
	sum( CASE month WHEN 'Apr' THEN amount ELSE 0 END ) AS Apr_amount,
	sum( CASE month WHEN 'May' THEN amount ELSE 0 END ) AS May_amount,
	sum( CASE month WHEN 'Jun' THEN amount ELSE 0 END ) AS Jun_amount,
	sum( CASE month WHEN 'Jul' THEN amount ELSE 0 END ) AS Jul_amount,
	sum( CASE month WHEN 'Aug' THEN amount ELSE 0 END ) AS Aug_amount,
	sum( CASE month WHEN 'Sep' THEN amount ELSE 0 END ) AS Sep_amount,
	sum( CASE month WHEN 'Oct' THEN amount ELSE 0 END ) AS Oct_amount,
	sum( CASE month WHEN 'Nov' THEN amount ELSE 0 END ) AS Nov_amount,
	sum( CASE month WHEN 'Dec' THEN amount ELSE 0 END ) AS Dec_amount 
FROM
	REST 
GROUP BY
	id 

Fall, wenn anders:

        Fall, wenn Bedingung = Wert 1, dann Rückgabewert 1 

        Fall, wenn Bedingung = Wert 1, dann Rückgabewert 1 

        sonst Standardwert

        Ende

	SELECT
	id,
	sum( CASE  WHEN month ='Jan' THEN amount ELSE 0 END ) AS Jan_amount,
	sum( CASE  WHEN month = 'Feb' THEN amount ELSE 0 END ) AS Feb_amount,
	sum( CASE  WHEN month = 'Mar' THEN amount ELSE 0 END ) AS Mar_amount,
	sum( CASE  WHEN month = 'Apr' THEN amount ELSE 0 END ) AS Apr_amount,
	sum( CASE  WHEN month = 'May' THEN amount ELSE 0 END ) AS May_amount,
	sum( CASE  WHEN month = 'Jun' THEN amount ELSE 0 END ) AS Jun_amount,
	sum( CASE  WHEN month = 'Jul' THEN amount ELSE 0 END ) AS Jul_amount,
	sum( CASE  WHEN month = 'Aug' THEN amount ELSE 0 END ) AS Aug_amount,
	sum( CASE  WHEN month = 'Sep' THEN amount ELSE 0 END ) AS Sep_amount,
	sum( CASE  WHEN month = 'Oct' THEN amount ELSE 0 END ) AS Oct_amount,
	sum( CASE  WHEN month = 'Nov' THEN amount ELSE 0 END ) AS Nov_amount,
	sum( CASE  WHEN month = 'Dec' THEN amount ELSE 0 END ) AS Dec_amount 
FROM
	REST 
GROUP BY
	id 

Das Ergebnis ist:

Methode 2: Verwenden Sie die Dekodierfunktion

Dekodierungsfunktion: DECODE(Bedingung, Wert 1, Rückgabewert 1, Wert 2, Rückgabewert 2, Wert 3, Rückgabewert 3, . . . sonst Standardwert)

Bedeutung: Wenn Bedingung = Wert 1, dann Rückgabewert 1, elsif Bedingung = Wert 2, dann Rückgabewert 2, sonst (Standardwert) endif

--	使用decode函数
SELECT
	id,
	sum( decode( month, 'Jan', amount, 0 ) ) Jan_amount,
	sum( decode( month, 'Feb', amount, 0 ) ) Feb_amount,
	sum( decode( month, 'Mar', amount, 0 ) ) Mar_amount,
	sum( decode( month, 'Apr', amount, 0 ) ) Apr_amount,
	sum( decode( month, 'May', amount, 0 ) ) May_amount,
	sum( decode( month, 'Jun', amount, 0 ) ) Jun_amount,
	sum( decode( month, 'Jul', amount, 0 ) ) Jul_amount,
	sum( decode( month, 'Aug', amount, 0 ) ) Aug_amount,
	sum( decode( month, 'Sep', amount, 0 ) ) Sep_amount,
	sum( decode( month, 'Oct', amount, 0 ) ) Oct_amount,
	sum( decode( month, 'Nov', amount, 0 ) ) Nov_amount,
	sum( decode( month, 'Dec', amount, 0 ) ) Dec_amount 
FROM
	REST 
GROUP BY
	id 

Das Ergebnis ist das gleiche wie bei Methode 1

Methode 3: Verwenden Sie die Pivot-Funktion

Pivot
(
<Aggregationsfunktion> (zu aggregierende Spalte)
für <zu konvertierende Spalte> in (zu konvertierender Spaltenwert als zu konvertierender Spaltenname)
) 

SELECT
	* 
FROM
	 REST pivot (
		SUM(amount) FOR month IN (
			'Jan' AS Jan_amount,
			'Feb' AS Feb_amount,
			'Mar' AS Mar_amount,
			'Apr' AS Apr_amount,
			'May' AS May_amount,
			'Jun' AS Jun_amount,
			'Jul' AS Jul_amount,
			'Aug' AS Aug_amount,
			'Sep' AS Sep_amount,
			'Oct' AS Oct_amount,
			'Nov' AS Nov_amount,
			'Dec' AS Dec_amount 
		) 
	);

Das Ergebnis ist: Dieses Ergebnis stellt fest, dass die Daten leer sind und kein Wert 0 zugewiesen ist

 Die folgende Methode löst das Problem, null in 0 umzuwandeln

SELECT
	NVl(Jan_amount,0) Jan_amount,
	NVl(Feb_amount,0) Feb_amount,
	NVl(Mar_amount,0) Mar_amount,
	NVl(Apr_amount,0) Apr_amount,
	NVl(May_amount,0) May_amount,
	NVl(Jun_amount,0) Jun_amount,
	NVl(Jul_amount,0) Jul_amount,
	NVl(Aug_amount,0) Aug_amount,
	NVl(Sep_amount,0) Sep_amount,
	NVl(Oct_amount,0) Oct_amount,
	NVl(Nov_amount,0) Nov_amount,
	NVl(Dec_amount,0) Dec_amount
FROM
	 REST pivot (
		SUM(amount) FOR month IN (
			'Jan' AS Jan_amount,
			'Feb' AS Feb_amount,
			'Mar' AS Mar_amount,
			'Apr' AS Apr_amount,
			'May' AS May_amount,
			'Jun' AS Jun_amount,
			'Jul' AS Jul_amount,
			'Aug' AS Aug_amount,
			'Sep' AS Sep_amount,
			'Oct' AS Oct_amount,
			'Nov' AS Nov_amount,
			'Dec' AS Dec_amount 
		) 
	);

Das Ergebnis ist das gleiche wie bei Methode 1:

4. Spalte zu Zeile

Fügen Sie die Unpivot-Funktion zur ursprünglichen SQL-Anweisung der obigen Pivot-Methode hinzu, um die Spalten in Zeilen umzuwandeln. In der Unpivot-Funktion gibt „amount:“ die von Spalten in Zeilen konvertierten Daten an

Monat: Gibt den Spaltennamen nach der Konvertierung von Spalte in Zeile an

select * from REST
pivot (sum(amount) for month in (
			'Jan' AS Jan_amount,
			'Feb' AS Feb_amount,
			'Mar' AS Mar_amount,
			'Apr' AS Apr_amount,
			'May' AS May_amount,
			'Jun' AS Jun_amount,
			'Jul' AS Jul_amount,
			'Aug' AS Aug_amount,
			'Sep' AS Sep_amount,
			'Oct' AS Oct_amount,
			'Nov' AS Nov_amount,
			'Dec' AS Dec_amount 
))
unpivot ( amount for month in(Jan_amount,Feb_amount,Mar_amount,Apr_amount,May_amount,Jun_amount,Jul_amount,Aug_amount,Sep_amount,Oct_amount,Nov_amount,Dec_amount));

Das Ergebnis ist:

  

5. Verwenden Sie direkt die Unpivot-Funktion – Spaltenübertragung

Daten vorbereiten: TEST-Tabelle

CREATE TABLE TEST (
  "ID" NUMBER(12,0) NOT NULL,
  "JAN" VARCHAR2(255 BYTE),
  "FEB" VARCHAR2(255 BYTE),
  "MAR" VARCHAR2(255 BYTE),
  "APR" VARCHAR2(255 BYTE),
  "MAY" VARCHAR2(255 BYTE),
  "JUN" VARCHAR2(255 BYTE),
  "JUL" VARCHAR2(255 BYTE),
  "AUG" VARCHAR2(255 BYTE),
  "SEP" VARCHAR2(255 BYTE),
  "OCT" VARCHAR2(255 BYTE),
  "NOV" VARCHAR2(255 BYTE),
  "DEC" VARCHAR2(255 BYTE)
);
-- 插入数据
INSERT INTO "CERPAWCSADM"."TEST" VALUES ('1', '33', '2', '3', '4', '5', '6', '7', '8', '9', '99', '8', '6');
INSERT INTO "CERPAWCSADM"."TEST" VALUES ('2', '22', '3', '4', '6', '5', '7', '0', '7', '22', '21', '343', '76');
INSERT INTO "CERPAWCSADM"."TEST" VALUES ('3', '88', '3', '4', '5', '7', '9', '7', '2', '2', '231', '56', '78');

Daten abfragen

Spalte in Zeile SQL

SELECT
	* 
FROM TEST
	unpivot ( amount for month in(JAN,FEB,MAR,APR,MAY,JUN,JUL,AUG,SEP,OCT,NOV,DEC));

 Das Ergebnis ist: