Dane
DECLARE @Example AS table
(
UserName varchar(30) NULL,
Town varchar(30) NULL
);
INSERT @Example
(UserName, Town)
VALUES
('Aaron', 'Not Townsville'),
('Bob', 'Not Townsville'),
('Charles', 'Townsville'),
('Charles', 'Townsville'),
('Charles', 'Townsville'),
('Charles', 'Townsville'),
('Dan', 'Townsville'),
('Eric', 'Not Townsville');
Alternatywne rozwiązania
SELECT E.UserName, E.Town
FROM @Example AS E
GROUP BY E.Town, E.UserName
HAVING E.Town = 'Townsville'
-- OR
SELECT E.UserName, 'Townsville' AS Town
FROM @Example AS E
GROUP BY E.UserName
HAVING 1 = MAX(CASE WHEN E.Town = 'Townsville' THEN 1 ELSE 0 END);
-- OR
SELECT E.UserName, E.Town
FROM @Example AS E
INTERSECT
SELECT E.UserName, 'Townsville' AS Town
FROM @Example AS E
Zatrzymywanie duplikatów
-- :)
SELECT E.UserName, E.Town
FROM @Example AS E
CROSS APPLY (VALUES(NEWID())) AS CA (n)
GROUP BY E.Town, E.UserName, CA.n
HAVING E.Town = 'Townsville'
-- Simulating INTERSECT ALL
SELECT
R.UserName,
R.Town
FROM
(
SELECT
E.UserName,
E.Town,
rn =
ROW_NUMBER() OVER (
PARTITION BY E.UserName, E.Town
ORDER BY E.UserName, E.Town)
FROM @Example AS E
INTERSECT
SELECT
E.UserName,
'Townsville',
rn =
ROW_NUMBER() OVER (
PARTITION BY E.UserName
ORDER BY E.UserName)
FROM @Example AS E
) AS R;
Wynik:
╔══════════╦════════════╗
║ UserName ║ Town ║
╠══════════╬════════════╣
║ Charles ║ Townsville ║
║ Dan ║ Townsville ║
╚══════════╩════════════╝
Na przykład:
╔══════════╦════════════╗
║ UserName ║ Town ║
╠══════════╬════════════╣
║ Charles ║ Townsville ║
║ Charles ║ Townsville ║
║ Charles ║ Townsville ║
║ Charles ║ Townsville ║
║ Dan ║ Townsville ║
╚══════════╩════════════╝
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