获取 ID 和最大值 ORACLE SQL
Get ID alongside max value ORACLE SQL
我目前有:
TABLE "QUARTO":
CREATE TABLE Quarto (
Id number(2) NOT NULL,
LotacaoMaxima number(1) NOT NULL,
TipoQuartoId number(1) NOT NULL,
NumeroQuartoNumSequencial number(3) NOT NULL,
NumeroQuartoAndarId varchar2(1) NOT NULL,
PRIMARY KEY (Id));
TABLE RESERVA:
CREATE TABLE Reserva (
Id number(3) NOT NULL,
ClienteNif number(9) NOT NULL,
QuartoId number(2) NOT NULL,
DataInicio date NOT NULL,
DataFim date NOT NULL,
NumPessoas number(1) NOT NULL,
Estado varchar2(15) NOT NULL,
DataCancelamento date,
PRIMARY KEY (Id));
我在两者中都有的一些数据是:
QUARTO:
| ID | LOTACAOMAXIMA | TIPOQUARTOID | NUMEROQUARTONUMSEQUENCIAL | NUMEROQUARTOANDARID |
| :--- | :--- | :--- | :--- | :--- |
| 1 | 1 | 1 | 1 | 1 |
| 2 | 1 | 1 | 2 | 1 |
| 3 | 1 | 1 | 3 | 1 |
| 4 | 1 | 1 | 4 | 1 |
| 5 | 1 | 1 | 5 | 1 |
| 6 | 1 | 1 | 6 | 1 |
| 7 | 1 | 1 | 7 | 1 |
| 8 | 1 | 1 | 8 | 1 |
| 9 | 1 | 1 | 9 | 1 |
| 10 | 1 | 1 | 10 | 1 |
| 11 | 2 | 2 | 11 | 1 |
| 12 | 2 | 2 | 12 | 1 |
| 13 | 2 | 2 | 13 | 1 |
| 14 | 2 | 2 | 14 | 1 |
| 15 | 2 | 2 | 15 | 1 |
| 16 | 2 | 2 | 16 | 1 |
| 17 | 2 | 2 | 17 | 1 |
| 18 | 2 | 2 | 18 | 1 |
| 19 | 2 | 2 | 19 | 1 |
| 20 | 2 | 2 | 20 | 1 |
RESERVA:
| ID | CLIENTENIF | QUARTOID | DATAINICIO | DATAFIM | NUMPESSOAS | ESTADO | DATACANCELAMENTO |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | 296837970 | 11 | 2020-06-01 00:00:00 | 2020-06-12 00:00:00 | 1 | Finalizada | NULL |
| 2 | 275784703 | 17 | 2020-06-13 00:00:00 | 2020-06-21 00:00:00 | 1 | Finalizada | NULL |
| 3 | 220347654 | 11 | 2020-07-07 00:00:00 | 2020-07-15 00:00:00 | 2 | Finalizada | NULL |
| 4 | 294772545 | 12 | 2020-08-01 00:00:00 | 2020-08-15 00:00:00 | 2 | Finalizada | NULL |
| 5 | 220347654 | 3 | 2020-01-01 00:00:00 | 2020-01-16 00:00:00 | 1 | Finalizada | NULL |
WITH CONTAGEM_QUARTO_POR_ID AS (SELECT q.ID, COUNT(r.QUARTOID) AS NUM_RESERVAS, q.TIPOQUARTOID, q.NUMEROQUARTOANDARID
FROM RESERVA r
INNER JOIN QUARTO q on q.ID = r.QUARTOID
GROUP BY q.ID, q.TIPOQUARTOID, q.NUMEROQUARTOANDARID)
SELECT t.TIPOQUARTOID, t.NUMEROQUARTOANDARID, MAX(t.NUM_RESERVAS) AS MAX
FROM CONTAGEM_QUARTO_POR_ID t
GROUP BY t.TIPOQUARTOID, t.NUMEROQUARTOANDARID
输出如下:
| TIPOQUARTOID | NUMEROQUARTOANDARID | MAX |
| :----------- | :------------------ | :-- |
| 1 | 2 | 2 |
| 2 | 1 | 8 |
| 1 | 1 | 1 |
除了我目前拥有的数据,我还想显示每一行的脚趾 ID,但是当我将 t.ID
添加到 SELECT 时,它迫使我将其添加到 GROUP BY
输出是这样的:
| TIPOQUARTOID | NUMEROQUARTOANDARID | MAX | ID |
| :----------- | :------------------ | :-- | :- |
| 2 | 1 | 2 | 11 |
| 1 | 1 | 1 | 1 |
| 1 | 1 | 1 | 3 |
| 1 | 2 | 2 | 21 |
| 2 | 1 | 1 | 17 |
| 2 | 1 | 1 | 12 |
| 2 | 1 | 8 | 16 |
我只想获取最大值和与该 MAX 关联的 ID。
您需要 MAX() OVER ()
具有 PARTITION BY TIPOQUARTOID, NUMEROQUARTOANDARID
的 NUM_RESERVAS
列的分析函数,以便按列表对分区内的那些列进行分组,例如
WITH CONTAGEM_QUARTO_POR_ID AS
(
SELECT q.ID,
COUNT(r.QUARTOID) AS NUM_RESERVAS,
q.TIPOQUARTOID,
q.NUMEROQUARTOANDARID
FROM RESERVA r
JOIN QUARTO q
on q.ID = r.QUARTOID
GROUP BY q.ID, q.TIPOQUARTOID, q.NUMEROQUARTOANDARID
), t AS
(
SELECT t.TIPOQUARTOID, t.NUMEROQUARTOANDARID, t.NUM_RESERVAS,
MAX(t.NUM_RESERVAS)
OVER (PARTITION BY t.TIPOQUARTOID, t.NUMEROQUARTOANDARID) AS MAX,
t.ID
FROM CONTAGEM_QUARTO_POR_ID t
)
SELECT TIPOQUARTOID, NUMEROQUARTOANDARID, NUM_RESERVAS, ID
FROM t
WHERE NUM_RESERVAS = MAX
或使用 HAVING
子句更直接
SELECT q.TIPOQUARTOID,
q.NUMEROQUARTOANDARID,
COUNT(r.QUARTOID) AS NUM_RESERVAS,
q.ID
FROM RESERVA r
JOIN QUARTO q
on q.ID = r.QUARTOID
GROUP BY q.ID, q.TIPOQUARTOID, q.NUMEROQUARTOANDARID
HAVING COUNT(r.QUARTOID) = q.TIPOQUARTOID
您可以在您的查询中使用 KEEP
子句,而无需像下面那样做太多更改:
WITH CONTAGEM_QUARTO_POR_ID AS
(SELECT q.ID, COUNT(r.QUARTOID) AS NUM_RESERVAS, q.TIPOQUARTOID, q.NUMEROQUARTOANDARID
FROM RESERVA r
INNER JOIN QUARTO q on q.ID = r.QUARTOID
GROUP BY q.ID, q.TIPOQUARTOID, q.NUMEROQUARTOANDARID)
SELECT t.TIPOQUARTOID, t.NUMEROQUARTOANDARID, MAX(t.NUM_RESERVAS) AS MAX,
max(t.ID) keep(dense_rank first order by t.NUM_RESERVAS desc nulls last) as ID -- this
FROM CONTAGEM_QUARTO_POR_ID t
GROUP BY t.TIPOQUARTOID, t.NUMEROQUARTOANDARID
我不建议采用两级聚合。只需使用 window 函数:
WITH CONTAGEM_QUARTO_POR_ID AS (
SELECT q.ID, COUNT(*) AS NUM_RESERVAS, q.TIPOQUARTOID, q.NUMEROQUARTOANDARID,
ROW_NUMBER() OVER (PARTITION BY q.TIPOQUARTOID, q.NUMEROQUARTOANDARID ORDER BY COUNT(*) DESC) as seqnum
FROM RESERVA r INNER JOIN
QUARTO q
ON q.ID = r.QUARTOID
GROUP BY q.ID, q.TIPOQUARTOID, q.NUMEROQUARTOANDARID
)
SELECT cq.*
FROM CONTAGEM_QUARTO_POR_ID cq
WHERE seqnum = 1;
我认为这会比两个聚合的性能略好(但值得检查)。
这种方法的一个优点是它更灵活。如果你想要领带,只需在子查询中将 ROW_NUMBER()
更改为 RANK()
。
也许更重要的是,ROW_NUMBER()
是 SQL 中的一个“成语”,用于每组返回一行(或特定行数)。学习如何使用它非常有价值。
我目前有:
TABLE "QUARTO":
CREATE TABLE Quarto (
Id number(2) NOT NULL,
LotacaoMaxima number(1) NOT NULL,
TipoQuartoId number(1) NOT NULL,
NumeroQuartoNumSequencial number(3) NOT NULL,
NumeroQuartoAndarId varchar2(1) NOT NULL,
PRIMARY KEY (Id));
TABLE RESERVA:
CREATE TABLE Reserva (
Id number(3) NOT NULL,
ClienteNif number(9) NOT NULL,
QuartoId number(2) NOT NULL,
DataInicio date NOT NULL,
DataFim date NOT NULL,
NumPessoas number(1) NOT NULL,
Estado varchar2(15) NOT NULL,
DataCancelamento date,
PRIMARY KEY (Id));
我在两者中都有的一些数据是:
QUARTO:
| ID | LOTACAOMAXIMA | TIPOQUARTOID | NUMEROQUARTONUMSEQUENCIAL | NUMEROQUARTOANDARID |
| :--- | :--- | :--- | :--- | :--- |
| 1 | 1 | 1 | 1 | 1 |
| 2 | 1 | 1 | 2 | 1 |
| 3 | 1 | 1 | 3 | 1 |
| 4 | 1 | 1 | 4 | 1 |
| 5 | 1 | 1 | 5 | 1 |
| 6 | 1 | 1 | 6 | 1 |
| 7 | 1 | 1 | 7 | 1 |
| 8 | 1 | 1 | 8 | 1 |
| 9 | 1 | 1 | 9 | 1 |
| 10 | 1 | 1 | 10 | 1 |
| 11 | 2 | 2 | 11 | 1 |
| 12 | 2 | 2 | 12 | 1 |
| 13 | 2 | 2 | 13 | 1 |
| 14 | 2 | 2 | 14 | 1 |
| 15 | 2 | 2 | 15 | 1 |
| 16 | 2 | 2 | 16 | 1 |
| 17 | 2 | 2 | 17 | 1 |
| 18 | 2 | 2 | 18 | 1 |
| 19 | 2 | 2 | 19 | 1 |
| 20 | 2 | 2 | 20 | 1 |
RESERVA:
| ID | CLIENTENIF | QUARTOID | DATAINICIO | DATAFIM | NUMPESSOAS | ESTADO | DATACANCELAMENTO |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | 296837970 | 11 | 2020-06-01 00:00:00 | 2020-06-12 00:00:00 | 1 | Finalizada | NULL |
| 2 | 275784703 | 17 | 2020-06-13 00:00:00 | 2020-06-21 00:00:00 | 1 | Finalizada | NULL |
| 3 | 220347654 | 11 | 2020-07-07 00:00:00 | 2020-07-15 00:00:00 | 2 | Finalizada | NULL |
| 4 | 294772545 | 12 | 2020-08-01 00:00:00 | 2020-08-15 00:00:00 | 2 | Finalizada | NULL |
| 5 | 220347654 | 3 | 2020-01-01 00:00:00 | 2020-01-16 00:00:00 | 1 | Finalizada | NULL |
WITH CONTAGEM_QUARTO_POR_ID AS (SELECT q.ID, COUNT(r.QUARTOID) AS NUM_RESERVAS, q.TIPOQUARTOID, q.NUMEROQUARTOANDARID
FROM RESERVA r
INNER JOIN QUARTO q on q.ID = r.QUARTOID
GROUP BY q.ID, q.TIPOQUARTOID, q.NUMEROQUARTOANDARID)
SELECT t.TIPOQUARTOID, t.NUMEROQUARTOANDARID, MAX(t.NUM_RESERVAS) AS MAX
FROM CONTAGEM_QUARTO_POR_ID t
GROUP BY t.TIPOQUARTOID, t.NUMEROQUARTOANDARID
输出如下:
| TIPOQUARTOID | NUMEROQUARTOANDARID | MAX |
| :----------- | :------------------ | :-- |
| 1 | 2 | 2 |
| 2 | 1 | 8 |
| 1 | 1 | 1 |
除了我目前拥有的数据,我还想显示每一行的脚趾 ID,但是当我将 t.ID
添加到 SELECT 时,它迫使我将其添加到 GROUP BY
输出是这样的:
| TIPOQUARTOID | NUMEROQUARTOANDARID | MAX | ID |
| :----------- | :------------------ | :-- | :- |
| 2 | 1 | 2 | 11 |
| 1 | 1 | 1 | 1 |
| 1 | 1 | 1 | 3 |
| 1 | 2 | 2 | 21 |
| 2 | 1 | 1 | 17 |
| 2 | 1 | 1 | 12 |
| 2 | 1 | 8 | 16 |
我只想获取最大值和与该 MAX 关联的 ID。
您需要 MAX() OVER ()
具有 PARTITION BY TIPOQUARTOID, NUMEROQUARTOANDARID
的 NUM_RESERVAS
列的分析函数,以便按列表对分区内的那些列进行分组,例如
WITH CONTAGEM_QUARTO_POR_ID AS
(
SELECT q.ID,
COUNT(r.QUARTOID) AS NUM_RESERVAS,
q.TIPOQUARTOID,
q.NUMEROQUARTOANDARID
FROM RESERVA r
JOIN QUARTO q
on q.ID = r.QUARTOID
GROUP BY q.ID, q.TIPOQUARTOID, q.NUMEROQUARTOANDARID
), t AS
(
SELECT t.TIPOQUARTOID, t.NUMEROQUARTOANDARID, t.NUM_RESERVAS,
MAX(t.NUM_RESERVAS)
OVER (PARTITION BY t.TIPOQUARTOID, t.NUMEROQUARTOANDARID) AS MAX,
t.ID
FROM CONTAGEM_QUARTO_POR_ID t
)
SELECT TIPOQUARTOID, NUMEROQUARTOANDARID, NUM_RESERVAS, ID
FROM t
WHERE NUM_RESERVAS = MAX
或使用 HAVING
子句更直接
SELECT q.TIPOQUARTOID,
q.NUMEROQUARTOANDARID,
COUNT(r.QUARTOID) AS NUM_RESERVAS,
q.ID
FROM RESERVA r
JOIN QUARTO q
on q.ID = r.QUARTOID
GROUP BY q.ID, q.TIPOQUARTOID, q.NUMEROQUARTOANDARID
HAVING COUNT(r.QUARTOID) = q.TIPOQUARTOID
您可以在您的查询中使用 KEEP
子句,而无需像下面那样做太多更改:
WITH CONTAGEM_QUARTO_POR_ID AS
(SELECT q.ID, COUNT(r.QUARTOID) AS NUM_RESERVAS, q.TIPOQUARTOID, q.NUMEROQUARTOANDARID
FROM RESERVA r
INNER JOIN QUARTO q on q.ID = r.QUARTOID
GROUP BY q.ID, q.TIPOQUARTOID, q.NUMEROQUARTOANDARID)
SELECT t.TIPOQUARTOID, t.NUMEROQUARTOANDARID, MAX(t.NUM_RESERVAS) AS MAX,
max(t.ID) keep(dense_rank first order by t.NUM_RESERVAS desc nulls last) as ID -- this
FROM CONTAGEM_QUARTO_POR_ID t
GROUP BY t.TIPOQUARTOID, t.NUMEROQUARTOANDARID
我不建议采用两级聚合。只需使用 window 函数:
WITH CONTAGEM_QUARTO_POR_ID AS (
SELECT q.ID, COUNT(*) AS NUM_RESERVAS, q.TIPOQUARTOID, q.NUMEROQUARTOANDARID,
ROW_NUMBER() OVER (PARTITION BY q.TIPOQUARTOID, q.NUMEROQUARTOANDARID ORDER BY COUNT(*) DESC) as seqnum
FROM RESERVA r INNER JOIN
QUARTO q
ON q.ID = r.QUARTOID
GROUP BY q.ID, q.TIPOQUARTOID, q.NUMEROQUARTOANDARID
)
SELECT cq.*
FROM CONTAGEM_QUARTO_POR_ID cq
WHERE seqnum = 1;
我认为这会比两个聚合的性能略好(但值得检查)。
这种方法的一个优点是它更灵活。如果你想要领带,只需在子查询中将 ROW_NUMBER()
更改为 RANK()
。
也许更重要的是,ROW_NUMBER()
是 SQL 中的一个“成语”,用于每组返回一行(或特定行数)。学习如何使用它非常有价值。