SQL Server/T-SQL/Subquery/Subqueries — различия между версиями

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Версия 13:46, 26 мая 2010

A subquery can be used with comparison operators

19>
20> CREATE TABLE employee  (emp_no    INTEGER NOT NULL,
21>                         emp_fname CHAR(20) NOT NULL,
22>                         emp_lname CHAR(20) NOT NULL,
23>                         dept_no   CHAR(4) NULL)
24>
25> insert into employee values(1,  "Matthew", "Smith",    "d3")
26> insert into employee values(2,  "Ann",     "Jones",    "d3")
27> insert into employee values(3,  "John",    "Barrimore","d1")
28> insert into employee values(4,  "James",   "James",    "d2")
29> insert into employee values(5,  "Elsa",    "Bertoni",  "d2")
30> insert into employee values(6,  "Elke",    "Hansel",   "d2")
31> insert into employee values(7,  "Sybill",  "Moser",    "d1")
32>
33> select * from employee
34> GO
Msg 2714, Level 16, State 6, Server sqle\SQLEXPRESS, Line 20
There is already an object named "employee" in the database.
1>
2> CREATE TABLE works_on        (emp_no       INTEGER NOT NULL,
3>                         project_no    CHAR(4) NOT NULL,
4>                         job CHAR (15) NULL,
5>                         enter_date    DATETIME NULL)
6>
7> insert into works_on values (1, "p1", "analyst", "1997.10.1")
8> insert into works_on values (1, "p3", "manager", "1999.1.1")
9> insert into works_on values (2, "p2", "clerk",   "1998.2.15")
10> insert into works_on values (2, "p2",  NULL,     "1998.6.1")
11> insert into works_on values (3, "p2",  NULL,     "1997.12.15")
12> insert into works_on values (4, "p3", "analyst", "1998.10.15")
13> insert into works_on values (5, "p1", "manager", "1998.4.15")
14> insert into works_on values (6, "p1",  NULL,     "1998.8.1")
15> insert into works_on values (7, "p2", "clerk",   "1999.2.1")
16> insert into works_on values (8, "p3", "clerk",   "1997.11.15")
17> insert into works_on values (7, "p1", "clerk",   "1998.1.4")
18>
19> select * from works_on
20> 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)
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> -- A subquery can be used with other comparison operators
3>
4> SELECT DISTINCT project_no FROM works_on WHERE emp_no <
5>        (SELECT emp_no FROM employee WHERE emp_lname = "Moser")
6> GO
project_no
----------
p1
p2
p3
(3 rows affected)
1>
2> drop table employee
3> drop table works_on
4> GO
1>
2>



A subquery is simply a SELECT query within a SELECT query

1> 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> -- A subquery is simply a SELECT query within a SELECT query. 
Subqueries scalar expressions.
3>
4> -- Scalar Expressions
5> SELECT City, Salary
6>        , (SELECT AVG(Salary) FROM Employee)
7>     AS AvgSalary
8> FROM Employee
9>
10>
11>
12>
13>
14> drop table employee
15> GO
City       Salary      AvgSalary
---------- ----------- -----------
New York         40420       49580
Vancouver        14420       49580
Toronto          24020       49580
New York         40620       49580
Vancouver        80026       49580
Toronto          70060       49580
New York         90620       49580
Vancouver        26020       49580
Toronto          60020       49580
(9 rows affected)
1>



Return a single value from subquery

1> 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> SELECT  ID, Name, Salary
3>        , Salary - (SELECT Avg(Salary) FROM Employee)
4>     As AvgSalaryDifference
5> FROM Employee
6>
7>
8>
9> drop table employee
10> GO
ID          Name       Salary      AvgSalaryDifference
----------- ---------- ----------- -------------------
          1 Jason            40420               -9160
          2 Robert           14420              -35160
          3 Celia            24020              -25560
          4 Linda            40620               -8960
          5 David            80026               30446
          6 James            70060               20480
          7 Alison           90620               41040
          8 Chris            26020              -23560
          9 Mary             60020               10440
(9 rows affected)
1>



Subqueries and Comparison Operators

15>
16> CREATE TABLE employee  (emp_no    INTEGER NOT NULL,
17>                         emp_fname CHAR(20) NOT NULL,
18>                         emp_lname CHAR(20) NOT NULL,
19>                         dept_no   CHAR(4) NULL)
20> GO
1> insert into employee values(1,  "Matthew", "Smith",    "d3")
2> insert into employee values(2,  "Ann",     "Jones",    "d3")
3> insert into employee values(3,  "John",    "Barrimore","d1")
4> insert into employee values(4,  "James",   "James",    "d2")
5> insert into employee values(5,  "Elsa",    "Bertoni",  "d2")
6> insert into employee values(6,  "Elke",    "Hansel",   "d2")
7> insert into employee values(7,  "Sybill",  "Moser",    "d1")
8> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1> select * from employee
2> GO
emp_no      emp_fname            emp_lname            dept_no
----------- -------------------- -------------------- -------
          1 Matthew              Smith                d3
          2 Ann                  Jones                d3
          3 John                 Barrimore            d1
          4 James                James                d2
          5 Elsa                 Bertoni              d2
          6 Elke                 Hansel               d2
          7 Sybill               Moser                d1
(7 rows affected)
1>
2> CREATE TABLE department(dept_no   CHAR(4) NOT NULL,
3>                         dept_name CHAR(25) NOT NULL,
4>                         location  CHAR(30) NULL)
5>
6> insert into department values ("d1", "developer",   "Dallas")
7> insert into department values ("d2", "tester",      "Seattle")
8> insert into department values ("d3", "marketing",  "Dallas")
9>
10> select * from department
11> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
dept_no dept_name                 location
------- ------------------------- ------------------------------
d1      developer                 Dallas
d2      tester                    Seattle
d3      marketing                 Dallas
(3 rows affected)
1>
2> -- Subqueries and Comparison Operators
3>
4> SELECT emp_fname, emp_lname FROM employee
5>        WHERE dept_no = (SELECT dept_no FROM department WHERE dept_name = "marketing")
6> GO
emp_fname            emp_lname
-------------------- --------------------
Matthew              Smith
Ann                  Jones
(2 rows affected)
1>
2> drop table department
3> drop table employee
4> GO
1>
2>