我想向表中插入数据，但只插入数据库中不存在的数据。
这是我的代码:
ALTER PROCEDURE [dbo].[EmailsRecebidosInsert]
(@_DE nvarchar(50),
@_ASSUNTO nvarchar(50),
@_DATA nvarchar(30) )
AS
BEGIN
INSERT INTO EmailsRecebidos (De, Assunto, Data)
VALUES (@_DE, @_ASSUNTO, @_DATA)
WHERE NOT EXISTS ( SELECT * FROM EmailsRecebidos
WHERE De = @_DE
AND Assunto = @_ASSUNTO
AND Data = @_DATA);
END
错误是:
Msg 156，级别15，状态1，程序EmailsRecebidosInsert，第11行 关键字WHERE附近的语法不正确。
当前回答
试试下面的代码
ALTER PROCEDURE [dbo].[EmailsRecebidosInsert]
(@_DE nvarchar(50),
@_ASSUNTO nvarchar(50),
@_DATA nvarchar(30) )
AS
BEGIN
INSERT INTO EmailsRecebidos (De, Assunto, Data)
select @_DE, @_ASSUNTO, @_DATA
EXCEPT
SELECT De, Assunto, Data from EmailsRecebidos
END
其他回答
我会使用合并:
create PROCEDURE [dbo].[EmailsRecebidosInsert]
(@_DE nvarchar(50),
@_ASSUNTO nvarchar(50),
@_DATA nvarchar(30) )
AS
BEGIN
with data as (select @_DE as de, @_ASSUNTO as assunto, @_DATA as data)
merge EmailsRecebidos t
using data s
on s.de = t.de
and s.assunte = t.assunto
and s.data = t.data
when not matched by target
then insert (de, assunto, data) values (s.de, s.assunto, s.data);
END
不同的SQL，相同的原理。仅当where not exists中的子句失败时才插入
INSERT INTO FX_USDJPY
(PriceDate,
PriceOpen,
PriceLow,
PriceHigh,
PriceClose,
TradingVolume,
TimeFrame)
SELECT '2014-12-26 22:00',
120.369000000000,
118.864000000000,
120.742000000000,
120.494000000000,
86513,
'W'
WHERE NOT EXISTS
(SELECT 1
FROM FX_USDJPY
WHERE PriceDate = '2014-12-26 22:00'
AND TimeFrame = 'W')
如果你的聚集索引只包含这些字段，那么简单、快速和可靠的选择是使用IGNORE_DUP_KEY
如果您使用IGNORE_DUP_KEY ON创建群集索引
然后你可以使用:
INSERT INTO EmailsRecebidos (De, Assunto, Data) VALUES (@_DE, @_ASSUNTO, @_DATA)
这在任何情况下都是安全的!
对于那些寻找最快方法的人来说，我最近看到了这些基准测试，显然使用了“INSERT SELECT…”除了SELECT…”，它是5000万条记录中最快的。
下面是本文中的一些示例代码(第三块代码是最快的):
INSERT INTO #table1 (Id, guidd, TimeAdded, ExtraData)
SELECT Id, guidd, TimeAdded, ExtraData
FROM #table2
WHERE NOT EXISTS (Select Id, guidd From #table1 WHERE #table1.id = #table2.id)
-----------------------------------
MERGE #table1 as [Target]
USING (select Id, guidd, TimeAdded, ExtraData from #table2) as [Source]
(id, guidd, TimeAdded, ExtraData)
on [Target].id =[Source].id
WHEN NOT MATCHED THEN
INSERT (id, guidd, TimeAdded, ExtraData)
VALUES ([Source].id, [Source].guidd, [Source].TimeAdded, [Source].ExtraData);
------------------------------
INSERT INTO #table1 (id, guidd, TimeAdded, ExtraData)
SELECT id, guidd, TimeAdded, ExtraData from #table2
EXCEPT
SELECT id, guidd, TimeAdded, ExtraData from #table1
------------------------------
INSERT INTO #table1 (id, guidd, TimeAdded, ExtraData)
SELECT #table2.id, #table2.guidd, #table2.TimeAdded, #table2.ExtraData
FROM #table2
LEFT JOIN #table1 on #table1.id = #table2.id
WHERE #table1.id is null
如下面的代码所解释:执行以下查询并自行验证。
CREATE TABLE `table_name` (
`id` int(11) NOT NULL auto_increment,
`name` varchar(255) NOT NULL,
`address` varchar(255) NOT NULL,
`tele` varchar(255) NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB;
插入一个记录:
INSERT INTO table_name (name, address, tele)
SELECT * FROM (SELECT 'Nazir', 'Kolkata', '033') AS tmp
WHERE NOT EXISTS (
SELECT name FROM table_name WHERE name = 'Nazir'
) LIMIT 1;
Query OK, 1 row affected (0.00 sec)
Records: 1 Duplicates: 0 Warnings: 0
SELECT * FROM `table_name`;
+----+--------+-----------+------+
| id | name | address | tele |
+----+--------+-----------+------+
| 1 | Nazir | Kolkata | 033 |
+----+--------+-----------+------+
现在，尝试再次插入相同的记录:
INSERT INTO table_name (name, address, tele)
SELECT * FROM (SELECT 'Nazir', 'Kolkata', '033') AS tmp
WHERE NOT EXISTS (
SELECT name FROM table_name WHERE name = 'Nazir'
) LIMIT 1;
Query OK, 0 rows affected (0.00 sec)
Records: 0 Duplicates: 0 Warnings: 0
+----+--------+-----------+------+
| id | name | address | tele |
+----+--------+-----------+------+
| 1 | Nazir | Kolkata | 033 |
+----+--------+-----------+------+
插入一条不同的记录:
INSERT INTO table_name (name, address, tele)
SELECT * FROM (SELECT 'Santosh', 'Kestopur', '044') AS tmp
WHERE NOT EXISTS (
SELECT name FROM table_name WHERE name = 'Santosh'
) LIMIT 1;
Query OK, 1 row affected (0.00 sec)
Records: 1 Duplicates: 0 Warnings: 0
SELECT * FROM `table_name`;
+----+--------+-----------+------+
| id | name | address | tele |
+----+--------+-----------+------+
| 1 | Nazir | Kolkata | 033 |
| 2 | Santosh| Kestopur | 044 |
+----+--------+-----------+------+
