返回受 UPDATE 语句影响的行数

如何获取存储过程(SQLServer2005)中受 UPDATE 查询影响的行数作为结果集。例如:。

CREATE PROCEDURE UpdateTables
AS
BEGIN
-- SET NOCOUNT ON added to prevent extra result sets from
-- interfering with SELECT statements.
SET NOCOUNT ON;


UPDATE Table1 Set Column = 0 WHERE Column IS NULL
UPDATE Table2 Set Column = 0 WHERE Column IS NULL
UPDATE Table3 Set Column = 0 WHERE Column IS NULL
UPDATE Table4 Set Column = 0 WHERE Column IS NULL
END

然后返回:

Table1    Table2    Table3    Table4
32        45        0         3
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最佳答案 
CREATE PROCEDURE UpdateTables
AS
BEGIN
-- SET NOCOUNT ON added to prevent extra result sets from
-- interfering with SELECT statements.
SET NOCOUNT ON;
DECLARE @RowCount1 INTEGER
DECLARE @RowCount2 INTEGER
DECLARE @RowCount3 INTEGER
DECLARE @RowCount4 INTEGER


UPDATE Table1 Set Column = 0 WHERE Column IS NULL
SELECT @RowCount1 = @@ROWCOUNT
UPDATE Table2 Set Column = 0 WHERE Column IS NULL
SELECT @RowCount2 = @@ROWCOUNT
UPDATE Table3 Set Column = 0 WHERE Column IS NULL
SELECT @RowCount3 = @@ROWCOUNT
UPDATE Table4 Set Column = 0 WHERE Column IS NULL
SELECT @RowCount4 = @@ROWCOUNT


SELECT @RowCount1 AS Table1, @RowCount2 AS Table2, @RowCount3 AS Table3, @RowCount4 AS Table4
END
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You might need to collect the stats as you go, but @@ROWCOUNT captures this:

declare @Fish table (
Name varchar(32)
)


insert into @Fish values ('Cod')
insert into @Fish values ('Salmon')
insert into @Fish values ('Butterfish')
update @Fish set Name = 'LurpackFish' where Name = 'Butterfish'
select @@ROWCOUNT  --gives 1


update @Fish set Name = 'Dinner'
select @@ROWCOUNT -- gives 3
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This is exactly what the OUTPUT clause in SQL Server 2005 onwards is excellent for.

EXAMPLE

CREATE TABLE [dbo].[test_table](
[LockId] [int] IDENTITY(1,1) NOT NULL,
[StartTime] [datetime] NULL,
[EndTime] [datetime] NULL,
PRIMARY KEY CLUSTERED
(
[LockId] ASC
) ON [PRIMARY]
) ON [PRIMARY]


INSERT INTO test_table(StartTime, EndTime)
VALUES('2009 JUL 07','2009 JUL 07')
INSERT INTO test_table(StartTime, EndTime)
VALUES('2009 JUL 08','2009 JUL 08')
INSERT INTO test_table(StartTime, EndTime)
VALUES('2009 JUL 09','2009 JUL 09')
INSERT INTO test_table(StartTime, EndTime)
VALUES('2009 JUL 10','2009 JUL 10')
INSERT INTO test_table(StartTime, EndTime)
VALUES('2009 JUL 11','2009 JUL 11')
INSERT INTO test_table(StartTime, EndTime)
VALUES('2009 JUL 12','2009 JUL 12')
INSERT INTO test_table(StartTime, EndTime)
VALUES('2009 JUL 13','2009 JUL 13')


UPDATE test_table
SET StartTime = '2011 JUL 01'
OUTPUT INSERTED.* -- INSERTED reflect the value after the UPDATE, INSERT, or MERGE statement is completed
WHERE
StartTime > '2009 JUL 09'

Results in the following being returned

    LockId StartTime                EndTime
-------------------------------------------------------
4      2011-07-01 00:00:00.000  2009-07-10 00:00:00.000
5      2011-07-01 00:00:00.000  2009-07-11 00:00:00.000
6      2011-07-01 00:00:00.000  2009-07-12 00:00:00.000
7      2011-07-01 00:00:00.000  2009-07-13 00:00:00.000

In your particular case, since you cannot use aggregate functions with OUTPUT, you need to capture the output of INSERTED.* in a table variable or temporary table and count the records. For example,

DECLARE @temp TABLE (
[LockId] [int],
[StartTime] [datetime] NULL,
[EndTime] [datetime] NULL
)


UPDATE test_table
SET StartTime = '2011 JUL 01'
OUTPUT INSERTED.* INTO @temp
WHERE
StartTime > '2009 JUL 09'




-- now get the count of affected records
SELECT COUNT(*) FROM @temp

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