sql 两表之间数据备份复制的sql语句

SELECT INTO 语句从一个表中选取数据，然后把数据插入另一个表中。

SELECT INTO 语句常用于创建表的备份复件或者用于对记录进行存档。

SQL SELECT INTO 语法
您可以把所有的列插入新表：

SELECT *
INTO new_table_name [IN externaldatabase]
FROM old_tablename

> create table employee(
2>     ID          int,
3>     name        nvarchar (10),
4>     salary      int,
5>     start_date  datetime,
6>     city        nvarchar (10),
7>     region      char (1))
8> GO
1>
2> insert into employee (ID, name,    salary, start_date, city,       region)
3>               values (1,  'Jason', 40420,  '02/01/94', 'New York', 'W')
4> GO

(1 rows affected)
1> insert into employee (ID, name,    salary, start_date, city,       region)
2>               values (2,  'Robert',14420,  '01/02/95', 'Vancouver','N')
3> GO

(1 rows affected)
1> insert into employee (ID, name,    salary, start_date, city,       region)
2>               values (3,  'Celia', 24020,  '12/03/96', 'Toronto',  'W')
3> GO

(1 rows affected)
1> insert into employee (ID, name,    salary, start_date, city,       region)
2>               values (4,  'Linda', 40620,  '11/04/97', 'New York', 'N')
3> GO

(1 rows affected)
1> insert into employee (ID, name,    salary, start_date, city,       region)
2>               values (5,  'David', 80026,  '10/05/98', 'Vancouver','W')
3> GO

(1 rows affected)
1> insert into employee (ID, name,    salary, start_date, city,       region)
2>               values (6,  'James', 70060,  '09/06/99', 'Toronto',  'N')
3> GO

(1 rows affected)
1> insert into employee (ID, name,    salary, start_date, city,       region)
2>               values (7,  'Alison',90620,  '08/07/00', 'New York', 'W')
3> GO

(1 rows affected)
1> insert into employee (ID, name,    salary, start_date, city,       region)
2>               values (8,  'Chris', 26020,  '07/08/01', 'Vancouver','N')
3> GO

(1 rows affected)
1> insert into employee (ID, name,    salary, start_date, city,       region)
2>               values (9,  'Mary',  60020,  '06/09/02', 'Toronto',  'W')
3> GO

(1 rows affected)
1>
2> select * from employee
3> GO
ID          name       salary      start_date              city       region
----------- ---------- ----------- ----------------------- ---------- ------
          1 Jason            40420 1994-02-01 00:00:00.000 New York   W
          2 Robert           14420 1995-01-02 00:00:00.000 Vancouver  N
          3 Celia            24020 1996-12-03 00:00:00.000 Toronto    W
          4 Linda            40620 1997-11-04 00:00:00.000 New York   N
          5 David            80026 1998-10-05 00:00:00.000 Vancouver  W
          6 James            70060 1999-09-06 00:00:00.000 Toronto    N
          7 Alison           90620 2000-08-07 00:00:00.000 New York   W
          8 Chris            26020 2001-07-08 00:00:00.000 Vancouver  N
          9 Mary             60020 2002-06-09 00:00:00.000 Toronto    W

(9 rows affected)
1>
2>
3> SELECT Id, Name
4> INTO Employee_Temp FROM Employee WHERE Id > 1
5> GO

(8 rows affected)
1>
2> SELECT * FROM Employee_Temp
3> GO
Id          Name

利用select into 做一个临时表

34> CREATE TABLE works_on       (emp_no       INTEGER NOT NULL,
35>                         project_no    CHAR(4) NOT NULL,
36>                         job CHAR (15) NULL,
37>                         enter_date    DATETIME NULL)
38>
39> insert into works_on values (1, 'p1', 'analyst', '1997.10.1')
40> insert into works_on values (1, 'p3', 'manager', '1999.1.1')
41> insert into works_on values (2, 'p2', 'clerk',   '1998.2.15')
42> insert into works_on values (2, 'p2',  NULL,     '1998.6.1')
43> insert into works_on values (3, 'p2',  NULL,     '1997.12.15')
44> insert into works_on values (4, 'p3', 'analyst', '1998.10.15')
45> insert into works_on values (5, 'p1', 'manager', '1998.4.15')
46> insert into works_on values (6, 'p1',  NULL,     '1998.8.1')
47> insert into works_on values (7, 'p2', 'clerk',   '1999.2.1')
48> insert into works_on values (8, 'p3', 'clerk',   '1997.11.15')
49> insert into works_on values (7, 'p1', 'clerk',   '1998.1.4')
50> GO

(1 rows affected)

(1 rows affected)

(1 rows affected)

(1 rows affected)

(1 rows affected)

(1 rows affected)

(1 rows affected)

(1 rows affected)

(1 rows affected)

(1 rows affected)

(1 rows affected)
1> select * from works_on
2> GO
emp_no      project_no job             enter_date
----------- ---------- --------------- -----------------------
          1 p1         analyst         1997-10-01 00:00:00.000
          1 p3         manager         1999-01-01 00:00:00.000
          2 p2         clerk           1998-02-15 00:00:00.000
          2 p2         NULL            1998-06-01 00:00:00.000
          3 p2         NULL            1997-12-15 00:00:00.000
          4 p3         analyst         1998-10-15 00:00:00.000
          5 p1         manager         1998-04-15 00:00:00.000
          6 p1         NULL            1998-08-01 00:00:00.000
          7 p2         clerk           1999-02-01 00:00:00.000
          8 p3         clerk           1997-11-15 00:00:00.000
          7 p1         clerk           1998-01-04 00:00:00.000

(11 rows affected)
1>
2> -- Remove duplicate data and create a unique index
3>
4> SELECT emp_no, MAX(enter_date) max_date
5>              INTO #works_on
6>              FROM works_on
7>              GROUP BY emp_no
8>              HAVING COUNT(*) > 1
9> GO

(3 rows affected)
1> DELETE works_on FROM works_on, #works_on
2>              WHERE works_on.emp_no = #works_on.emp_no
3>              AND works_on.enter_date < #works_on.max_date
4> GO

(3 rows affected)
1> select * from works_on
2> GO
emp_no      project_no job             enter_date
----------- ---------- --------------- -----------------------
          1 p3         manager         1999-01-01 00:00:00.000
          2 p2         NULL            1998-06-01 00:00:00.000
          3 p2         NULL            1997-12-15 00:00:00.000
          4 p3         analyst         1998-10-15 00:00:00.000
          5 p1         manager         1998-04-15 00:00:00.000
          6 p1         NULL            1998-08-01 00:00:00.000
          7 p2         clerk           1999-02-01 00:00:00.000
          8 p3         clerk           1997-11-15 00:00:00.000

(8 rows affected)

注间：select into必须两个表的结果完整一致能也很好的把数据完整备份哦。