SQL Server/T-SQL Tutorial/Procedure Function/function — различия между версиями

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Текущая версия на 10:25, 26 мая 2010

A SELECT statement that uses the function in a join operation

4>
5>
6> create table Billings (
7>     BankerID           INTEGER,
8>     BillingNumber      INTEGER,
9>     BillingDate        datetime,
10>     BillingTotal       INTEGER,
11>     TermsID            INTEGER,
12>     BillingDueDate     datetime ,
13>     PaymentTotal       INTEGER,
14>     CreditTotal        INTEGER
15>
16> );
17> GO
1>
2> INSERT INTO Billings VALUES (1, 1, "2005-01-22", 165, 1,"2005-04-22",123,321);
3> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (2, 2, "2001-02-21", 165, 1,"2002-02-22",123,321.);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (3, 3, "2003-05-02", 165, 1,"2005-04-12",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (4, 4, "1999-03-12", 165, 1,"2005-04-18",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (5, 5, "2000-04-23", 165, 1,"2005-04-17",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (6, 6, "2001-06-14", 165, 1,"2005-04-18",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (7, 7, "2002-07-15", 165, 1,"2005-04-19",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (8, 8, "2003-08-16", 165, 1,"2005-04-20",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (9, 9, "2004-09-17", 165, 1,"2005-04-21",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (0, 0, "2005-10-18", 165, 1,"2005-04-22",123,321);
2> GO
(1 rows affected)
1>
2>
3> create table Bankers(
4>    BankerID             Integer,
5>    BankerName           VARCHAR(20),
6>    BankerContactLName   VARCHAR(20),
7>    BankerContactFName   VARCHAR(20),
8>    BankerCity           VARCHAR(20),
9>    BankerState          VARCHAR(20),
10>    BankerZipCode        VARCHAR(20),
11>    BankerPhone          VARCHAR(20)
12> )
13> GO
1>
2> insert into Bankers values (1, "ABC Inc.","Joe","Smith","Vancouver","BC","11111","111-111-1111");
3> GO
(1 rows affected)
1> insert into Bankers values (2, "DEF Inc.","Red","Rice", "New York", "DE","22222","222-222-2222");
2> GO
(1 rows affected)
1> insert into Bankers values (3, "HJI Inc.","Kit","Cat",  "Paris",    "CA","33333","333-333-3333");
2> GO
(1 rows affected)
1> insert into Bankers values (4, "QWE Inc.","Git","Black","Regina",   "ER","44444","444-444-4444");
2> GO
(1 rows affected)
1> insert into Bankers values (5, "RTY Inc.","Wil","Lee",  "Toronto",  "YU","55555","555-555-5555");
2> GO
(1 rows affected)
1> insert into Bankers values (6, "YUI Inc.","Ted","Larry","Calgary",  "TY","66666","666-666-6666");
2> GO
(1 rows affected)
1> insert into Bankers values (7, "OIP Inc.","Yam","Act",  "San Franc","FG","77777","777-777-7777");
2> GO
(1 rows affected)
1> insert into Bankers values (8, "SAD Inc.","Hit","Eat",  "Orland",   "PO","88888","888-888-8888");
2> GO
(1 rows affected)
1> insert into Bankers values (9, "DFG Inc.","Sad","Lee",  "Wisler",   "PL","99999","999-999-9999");
2> GO
(1 rows affected)
1> insert into Bankers values (0, "GHJ Inc.","Bit","Lee",  "Ticker",   "MN","00000","000-000-0000");
2> GO
(1 rows affected)
1>
2>
3> CREATE FUNCTION fnTopBankersDue
4>     (@CutOff money = 0)
5>     RETURNS table
6> RETURN
7> (SELECT BankerName, SUM(BillingTotal) AS TotalDue
8> FROM Bankers JOIN Billings ON Bankers.BankerID = Billings.BankerID
9> WHERE BillingTotal - CreditTotal - PaymentTotal > 0
10> GROUP BY BankerName
11> HAVING SUM(BillingTotal) >= @CutOff)
12> GO
1>
2>
3>
4> --A SELECT statement that invokes the function
5>
6> SELECT * FROM dbo.fnTopBankersDue(5000)
7>
8>
9> SELECT Bankers.BankerName, BankerCity, TotalDue
10> FROM Bankers JOIN dbo.fnTopBankersDue(DEFAULT) AS TopBankers
11>      ON Bankers.BankerName = TopBankers.BankerName
12> GO
BankerName           TotalDue
-------------------- -----------
(0 rows affected)
BankerName           BankerCity           TotalDue
-------------------- -------------------- -----------
(0 rows affected)
1>
2> drop FUNCTION fnTopBankersDue;
3> GO
1>
2>
3> drop table Bankers;
4> GO


Call two user-defined functions in a select statement

6> CREATE TABLE titles(
7>    title_id       varchar(20),
8>    title          varchar(80)       NOT NULL,
9>    type           char(12)          NOT NULL,
10>    pub_id         char(4)               NULL,
11>    price          money                 NULL,
12>    advance        money                 NULL,
13>    royalty        int                   NULL,
14>    ytd_sales      int                   NULL,
15>    notes          varchar(200)          NULL,
16>    pubdate        datetime          NOT NULL
17> )
18> GO
1>
2> insert titles values ("1", "Secrets",   "popular_comp", "1389", $20.00, $8000.00, 10, 4095,"Note 1","06/12/94")
3> insert titles values ("2", "The",       "business",     "1389", $19.99, $5000.00, 10, 4095,"Note 2","06/12/91")
4> insert titles values ("3", "Emotional", "psychology",   "0736", $7.99,  $4000.00, 10, 3336,"Note 3","06/12/91")
5> insert titles values ("4", "Prolonged", "psychology",   "0736", $19.99, $2000.00, 10, 4072,"Note 4","06/12/91")
6> insert titles values ("5", "With",      "business",     "1389", $11.95, $5000.00, 10, 3876,"Note 5","06/09/91")
7> insert titles values ("6", "Valley",    "mod_cook",     "0877", $19.99, $0.00,    12, 2032,"Note 6","06/09/91")
8> insert titles values ("7", "Any?",      "trad_cook",    "0877", $14.99, $8000.00, 10, 4095,"Note 7","06/12/91")
9> insert titles values ("8", "Fifty",     "trad_cook",    "0877", $11.95, $4000.00, 14, 1509,"Note 8","06/12/91")
10> 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>    CREATE FUNCTION dbo.AveragePrice()
2>    RETURNS money
3>    WITH SCHEMABINDING
4>    AS
5>    BEGIN
6>       RETURN (SELECT AVG(Price) FROM dbo.Titles)
7>    END
8>    GO
1>
2>    CREATE FUNCTION dbo.PriceDifference(@Price money)
3>    RETURNS money
4>    AS
5>    BEGIN
6>       RETURN @Price - dbo.AveragePrice()
7>    END
8> GO
1>    SELECT Title,
2>       Price,
3>       dbo.AveragePrice() AS Average,
4>       dbo.PriceDifference(Price) AS Difference
5>    FROM Titles
6>    WHERE Type="popular_comp"
7> GO
Title                                                                            Price                 Average               Difference
-------------------------------------------------------------------------------- --------------------- --------------------- ---------------------
Secrets                                                                                        20.0000               15.8562                4.1438
Secrets                                                                                        20.0000               15.8562                4.1438
Secrets                                                                                        20.0000               15.8562                4.1438
Secrets                                                                                        20.0000               15.8562                4.1438
Secrets                                                                                        20.0000               15.8562                4.1438
Secrets                                                                                        20.0000               15.8562                4.1438
Secrets                                                                                        20.0000               15.8562                4.1438
(7 rows affected)
1>


Call user-defined function in where clause

4> CREATE TABLE titles(
5>    title_id       varchar(20),
6>    title          varchar(80)       NOT NULL,
7>    type           char(12)          NOT NULL,
8>    pub_id         char(4)               NULL,
9>    price          money                 NULL,
10>    advance        money                 NULL,
11>    royalty        int                   NULL,
12>    ytd_sales      int                   NULL,
13>    notes          varchar(200)          NULL,
14>    pubdate        datetime          NOT NULL
15> )
16> GO
1>
2> insert titles values ("1", "Secrets",   "popular_comp", "1389", $20.00, $8000.00, 10, 4095,"Note 1","06/12/94")
3> insert titles values ("2", "The",       "business",     "1389", $19.99, $5000.00, 10, 4095,"Note 2","06/12/91")
4> insert titles values ("3", "Emotional", "psychology",   "0736", $7.99,  $4000.00, 10, 3336,"Note 3","06/12/91")
5> insert titles values ("4", "Prolonged", "psychology",   "0736", $19.99, $2000.00, 10, 4072,"Note 4","06/12/91")
6> insert titles values ("5", "With",      "business",     "1389", $11.95, $5000.00, 10, 3876,"Note 5","06/09/91")
7> insert titles values ("6", "Valley",    "mod_cook",     "0877", $19.99, $0.00,    12, 2032,"Note 6","06/09/91")
8> insert titles values ("7", "Any?",      "trad_cook",    "0877", $14.99, $8000.00, 10, 4095,"Note 7","06/12/91")
9> insert titles values ("8", "Fifty",     "trad_cook",    "0877", $11.95, $4000.00, 14, 1509,"Note 8","06/12/91")
10> GO
3> CREATE FUNCTION AveragePrice(@booktype varchar(12))
4> RETURNS money
5> AS
6> BEGIN
7>     DECLARE @avg money
8>     SELECT @avg = avg(price)
9>     FROM titles
10>     WHERE type = @booktype
11>
12>     RETURN @avg
13> END
14> GO
1>
2> SELECT title_id, price
3> FROM titles
4> WHERE price > dbo.AveragePrice("business")
5> AND type = "business"
6> GO
title_id             price
-------------------- ---------------------
2                                  19.9900
1>
2> DECLARE @avg money
3> EXEC @avg = dbo.AveragePrice "business"
4> SELECT @avg
5> GO
---------------------
              15.9700
1>
2>
3> drop FUNCTION AveragePrice;
4> GO
1>
2> drop table titles;
3> GO
1>


Create a scalar-valued function that returns the total Billing amount due

6> create table Billings (
7>     BankerID           INTEGER,
8>     BillingNumber      INTEGER,
9>     BillingDate        datetime,
10>     BillingTotal       INTEGER,
11>     TermsID            INTEGER,
12>     BillingDueDate     datetime ,
13>     PaymentTotal       INTEGER,
14>     CreditTotal        INTEGER
15>
16> );
17> GO
1>
2> INSERT INTO Billings VALUES (1, 1, "2005-01-22", 165, 1,"2005-04-22",123,321);
3> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (2, 2, "2001-02-21", 165, 1,"2002-02-22",123,321.);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (3, 3, "2003-05-02", 165, 1,"2005-04-12",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (4, 4, "1999-03-12", 165, 1,"2005-04-18",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (5, 5, "2000-04-23", 165, 1,"2005-04-17",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (6, 6, "2001-06-14", 165, 1,"2005-04-18",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (7, 7, "2002-07-15", 165, 1,"2005-04-19",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (8, 8, "2003-08-16", 165, 1,"2005-04-20",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (9, 9, "2004-09-17", 165, 1,"2005-04-21",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (0, 0, "2005-10-18", 165, 1,"2005-04-22",123,321);
2> GO
(1 rows affected)
1>
2> CREATE FUNCTION fnBalanceDue()
3>     RETURNS money
4> BEGIN
5>     RETURN (SELECT SUM(BillingTotal - PaymentTotal - CreditTotal)
6>             FROM Billings
7>             WHERE BillingTotal - PaymentTotal - CreditTotal > 0)
8> END
9> GO
1>
2>
3>
4> --A script that invokes the function
5> PRINT "Current outstanding balance is: $" +
6>        CONVERT(varchar,dbo.fnBalanceDue(),1)
7>
8>
9>
10> drop FUNCTION fnBalanceDue;
11> GO
1>
2>
3> drop table Billings;
4> GO
1>


Function WITH SCHEMABINDING

4> CREATE TABLE titles(
5>    title_id       varchar(20),
6>    title          varchar(80)       NOT NULL,
7>    type           char(12)          NOT NULL,
8>    pub_id         char(4)               NULL,
9>    price          money                 NULL,
10>    advance        money                 NULL,
11>    royalty        int                   NULL,
12>    ytd_sales      int                   NULL,
13>    notes          varchar(200)          NULL,
14>    pubdate        datetime          NOT NULL
15> )
16> GO
1>
2> insert titles values ("1", "Secrets",   "popular_comp", "1389", $20.00, $8000.00, 10, 4095,"Note 1","06/12/94")
3> insert titles values ("2", "The",       "business",     "1389", $19.99, $5000.00, 10, 4095,"Note 2","06/12/91")
4> insert titles values ("3", "Emotional", "psychology",   "0736", $7.99,  $4000.00, 10, 3336,"Note 3","06/12/91")
5> insert titles values ("4", "Prolonged", "psychology",   "0736", $19.99, $2000.00, 10, 4072,"Note 4","06/12/91")
6> insert titles values ("5", "With",      "business",     "1389", $11.95, $5000.00, 10, 3876,"Note 5","06/09/91")
7> insert titles values ("6", "Valley",    "mod_cook",     "0877", $19.99, $0.00,    12, 2032,"Note 6","06/09/91")
8> insert titles values ("7", "Any?",      "trad_cook",    "0877", $14.99, $8000.00, 10, 4095,"Note 7","06/12/91")
9> insert titles values ("8", "Fifty",     "trad_cook",    "0877", $11.95, $4000.00, 14, 1509,"Note 8","06/12/91")
10> 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>
2> CREATE TABLE sales(
3>    stor_id        char(4)           NOT NULL,
4>    ord_num        varchar(20)       NOT NULL,
5>    ord_date       datetime          NOT NULL,
6>    qty            smallint          NOT NULL,
7>    payterms       varchar(12)       NOT NULL,
8>    title_id       varchar(80)
9> )
10> GO
1> insert sales values("1", "QA7442.3", "09/03/94", 75, "ON Billing","1")
2> insert sales values("2", "D4482",    "09/04/94", 10, "Net 60",    "1")
3> insert sales values("3", "N914008",  "09/04/94", 20, "Net 30",    "2")
4> insert sales values("4", "N914014",  "09/04/94", 25, "Net 30",    "3")
5> insert sales values("5", "423LL922", "09/04/94", 15, "ON Billing","3")
6> insert sales values("6", "423LL930", "09/04/94", 10, "ON Billing","2")
7> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2>
3> Create FUNCTION SalesByStore(@storid varchar(30))
4> RETURNS TABLE
5> AS
6> RETURN (SELECT title, qty
7>         FROM dbo.sales s, dbo.titles t
8>         WHERE s.stor_id = @storid AND t.title_id = s.title_id)
9> GO
1>
2>
3> ALTER FUNCTION SalesByStore(@storid varchar(30))
4> RETURNS TABLE
5> WITH SCHEMABINDING
6> AS
7> RETURN (SELECT title, qty
8>         FROM dbo.sales s, dbo.titles t
9>         WHERE s.stor_id = @storid AND t.title_id = s.title_id)
10> GO
1>
2>
3> SELECT obj_name = SUBSTRING(OBJECT_NAME(d.id), 1, 20),
4>        dep_obj  = SUBSTRING(OBJECT_NAME(d.depid), 1, 20),
5>        col_name = SUBSTRING(name, 1, 15),
6>        IsSchemaBound = CASE deptype
7>            WHEN 1 THEN "Schema Bound"
8>            ELSE "Free"
9>        END
10> FROM
11>     sysdepends d
12>     JOIN syscolumns c ON d.depid = c.id
13>     AND d.depnumber = c.colid
14> WHERE object_name(d.id) LIKE "SalesByStore%"
15> GO
obj_name             dep_obj              col_name        IsSchemaBound
-------------------- -------------------- --------------- -------------
SalesByStore         titles               title_id        Schema Bound
SalesByStore         titles               title           Schema Bound
SalesByStore         sales                stor_id         Schema Bound
SalesByStore         sales                qty             Schema Bound
SalesByStore         sales                title_id        Schema Bound
(5 rows affected)
1>
2>
3>
4> SELECT routine_definition
5> FROM INFORMATION_SCHEMA.routines
6> WHERE routine_name = "SalesByStore"
7> GO
routine_definition










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CREATE FUNCTION SalesByStore(@storid varchar(30))
RETURNS TABLE
WITH SCHEMABINDING
AS
RETURN (SELECT title, qty
        FROM dbo.sales s, dbo.titles t
        WHERE s.stor_id = @storid AND t.title_id = s.title_id)
(1 rows affected)
1>
2>
3>
4> drop FUNCTION SalesByStore;
5> GO
1> drop table sales;
2> drop table titles;
3> GO
1>


Get the 3 employees with the most RegionPlace

2>
3>
4> CREATE TABLE EmployeeRegion
5>      (EmployeeID int NOT NULL,
6>       RegionID nvarchar (20) NOT NULL
7> )
8> GO
1>
2> Insert Into EmployeeRegion Values (1,"06897")
3> Insert Into EmployeeRegion Values (1,"19713")
4> Insert Into EmployeeRegion Values (9,"48084")
5> Insert Into EmployeeRegion Values (9,"48304")
6> Insert Into EmployeeRegion Values (9,"55113")
7> Insert Into EmployeeRegion Values (9,"55439")
8> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2>
3> CREATE TABLE Employees (
4>      EmployeeID int NOT NULL ,
5>      LastName nvarchar (20) NOT NULL ,
6>      FirstName nvarchar (10) NOT NULL ,
7>      Title nvarchar (30) NULL ,
8>      TitleOfCourtesy nvarchar (25) NULL ,
9>      BirthDate datetime NULL ,
10>     HireDate datetime NULL ,
11>     Address nvarchar (60) NULL ,
12>     City nvarchar (15) NULL ,
13>     Region nvarchar (15) NULL ,
14>     PostalCode nvarchar (10) NULL ,
15>     Country nvarchar (15) NULL ,
16>     HomePhone nvarchar (24) NULL ,
17>     Extension nvarchar (4) NULL ,
18>     Photo image NULL ,
19>     Notes ntext NULL ,
20>     ReportsTo int NULL ,
21>     PhotoPath nvarchar (255) NULL
22>
23> )
24> GO
1>
2>
3> CREATE FUNCTION dbo.udf_EmpTerritoryCOUNT (
4>     @EmployeeID int
5> )   RETURNS INT
6> AS BEGIN
7>     DECLARE @RegionPlace int
8>     SELECT @RegionPlace = count(*)
9>         FROM EmployeeRegion
10>         WHERE EmployeeID = @EmployeeID
11>
12>     RETURN @RegionPlace
13> END
14> GO
1>
2>
3> 
4> SELECT TOP 3 LastName, FirstName
5> , dbo.udf_EmpTerritoryCOUNT(EmployeeID) as RegionPlace
6>     FROM Employees
7>     WHERE dbo.udf_EmpTerritoryCOUNT(EmployeeID) > 3
8>     ORDER BY dbo.udf_EmpTerritoryCOUNT(EmployeeID) desc
9> GO
LastName             FirstName  RegionPlace
-------------------- ---------- -----------
(0 rows affected)
1>
2>
3> drop FUNCTION dbo.udf_EmpTerritoryCOUNT;
4> GO
1>
2>
3> drop table EmployeeRegion;
4> GO
1>
2> drop table Employees;
3> GO


Invoke the scalar-valued function

9> create table Bankers(
10>    BankerID             Integer,
11>    BankerName           VARCHAR(20),
12>    BankerContactLName   VARCHAR(20),
13>    BankerContactFName   VARCHAR(20),
14>    BankerCity           VARCHAR(20),
15>    BankerState          VARCHAR(20),
16>    BankerZipCode        VARCHAR(20),
17>    BankerPhone          VARCHAR(20)
18> )
19> GO
1>
2> insert into Bankers values (1, "ABC Inc.","Joe","Smith","Vancouver","BC","11111","111-111-1111");
3> GO
(1 rows affected)
1> insert into Bankers values (2, "DEF Inc.","Red","Rice", "New York", "DE","22222","222-222-2222");
2> GO
(1 rows affected)
1> insert into Bankers values (3, "HJI Inc.","Kit","Cat",  "Paris",    "CA","33333","333-333-3333");
2> GO
(1 rows affected)
1> insert into Bankers values (4, "QWE Inc.","Git","Black","Regina",   "ER","44444","444-444-4444");
2> GO
(1 rows affected)
1> insert into Bankers values (5, "RTY Inc.","Wil","Lee",  "Toronto",  "YU","55555","555-555-5555");
2> GO
(1 rows affected)
1> insert into Bankers values (6, "YUI Inc.","Ted","Larry","Calgary",  "TY","66666","666-666-6666");
2> GO
(1 rows affected)
1> insert into Bankers values (7, "OIP Inc.","Yam","Act",  "San Franc","FG","77777","777-777-7777");
2> GO
(1 rows affected)
1> insert into Bankers values (8, "SAD Inc.","Hit","Eat",  "Orland",   "PO","88888","888-888-8888");
2> GO
(1 rows affected)
1> insert into Bankers values (9, "DFG Inc.","Sad","Lee",  "Wisler",   "PL","99999","999-999-9999");
2> GO
(1 rows affected)
1> insert into Bankers values (0, "GHJ Inc.","Bit","Lee",  "Ticker",   "MN","00000","000-000-0000");
2> GO
(1 rows affected)
1>
2>
3> create table Billings (
4>     BankerID           INTEGER,
5>     BillingNumber      INTEGER,
6>     BillingDate        datetime,
7>     BillingTotal       INTEGER,
8>     TermsID            INTEGER,
9>     BillingDueDate     datetime ,
10>     PaymentTotal       INTEGER,
11>     CreditTotal        INTEGER
12>
13> );
14> GO
1>
2> INSERT INTO Billings VALUES (1, 1, "2005-01-22", 165, 1,"2005-04-22",123,321);
3> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (2, 2, "2001-02-21", 165, 1,"2002-02-22",123,321.);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (3, 3, "2003-05-02", 165, 1,"2005-04-12",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (4, 4, "1999-03-12", 165, 1,"2005-04-18",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (5, 5, "2000-04-23", 165, 1,"2005-04-17",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (6, 6, "2001-06-14", 165, 1,"2005-04-18",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (7, 7, "2002-07-15", 165, 1,"2005-04-19",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (8, 8, "2003-08-16", 165, 1,"2005-04-20",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (9, 9, "2004-09-17", 165, 1,"2005-04-21",123,321);
2> GO
(1 rows affected)
1> INSERT INTO Billings VALUES (0, 0, "2005-10-18", 165, 1,"2005-04-22",123,321);
2> GO
(1 rows affected)
1>
2>
3> CREATE FUNCTION fnBankerID
4>     (@BankerName varchar(50))
5>     RETURNS int
6> BEGIN
7>     RETURN (SELECT BankerID FROM Bankers WHERE BankerName = @BankerName)
8> END
9> GO
1>
2>
3> SELECT BillingDate, BillingTotal
4> FROM Billings
5> WHERE BankerID = dbo.fnBankerID("IBM")
6> GO
BillingDate             BillingTotal
----------------------- ------------
(0 rows affected)
1>
2>
3> drop FUNCTION fnBankerID;
4> GO
1> drop table Bankers;
2> GO
1> drop table Billings;
2> GO


Pass a declared variable to a function

2>
3> CREATE TABLE Employees (
4>      EmployeeID int NOT NULL ,
5>      LastName nvarchar (20) NOT NULL ,
6>      FirstName nvarchar (10) NOT NULL ,
7>      Title nvarchar (30) NULL ,
8>      TitleOfCourtesy nvarchar (25) NULL ,
9>      BirthDate datetime NULL ,
10>     HireDate datetime NULL ,
11>     Address nvarchar (60) NULL ,
12>     City nvarchar (15) NULL ,
13>     Region nvarchar (15) NULL ,
14>     PostalCode nvarchar (10) NULL ,
15>     Country nvarchar (15) NULL ,
16>     HomePhone nvarchar (24) NULL ,
17>     Extension nvarchar (4) NULL ,
18>     Photo image NULL ,
19>     Notes ntext NULL ,
20>     ReportsTo int NULL ,
21>     PhotoPath nvarchar (255) NULL
22>
23> )
24> GO
1>
2>
3>
4> CREATE TABLE RegionPlace
5>      (RegionID nvarchar (20) NOT NULL ,
6>      TerritoryDescription nchar (50) NOT NULL ,
7>         RegionID int NOT NULL
8> )
9> GO
1>
2> Insert Into RegionPlace Values ("01581","Westboro",1)
3> Insert Into RegionPlace Values ("01730","Bedford",1)
4> Insert Into RegionPlace Values ("01833","Georgetow",1)
5> Insert Into RegionPlace Values ("95060","Santa Cruz",2)
6> Insert Into RegionPlace Values ("98004","Bellevue",2)
7> Insert Into RegionPlace Values ("98052","Redmond",2)
8> Insert Into RegionPlace Values ("98104","Seattle",2)
9> Go
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1> CREATE TABLE EmployeeRegion
2>      (EmployeeID int NOT NULL,
3>       RegionID nvarchar (20) NOT NULL
4> )
5> GO
1>
2> Insert Into EmployeeRegion Values (1,"06897")
3> Insert Into EmployeeRegion Values (1,"19713")
4> Insert Into EmployeeRegion Values (9,"48084")
5> Insert Into EmployeeRegion Values (9,"48304")
6> Insert Into EmployeeRegion Values (9,"55113")
7> Insert Into EmployeeRegion Values (9,"55439")
8> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2> CREATE FUNCTION dbo.udf_EmpRegionPlaceTAB (
3>     @EmployeeID int
4> )   RETURNS TABLE
5> AS RETURN
6> SELECT TOP 100 PERCENT WITH TIES
7>        et.RegionID
8>      , t.TerritoryDescription as [Territory]
9>      , t.RegionID
10>     FROM EmployeeRegion et
11>          LEFT OUTER JOIN RegionPlace t
12>              ON et.RegionID = t.RegionID
13>     WHERE et.EmployeeID = @EmployeeID
14>     ORDER BY t.TerritoryDescription
15>
16> GO
1>
2> DECLARE @EmpID int
3> SELECT @EmpID = EmployeeID
4>     FROM Employees
5>     WHERE FirstName = "Andrew" and LastName = "Fuller"
6>
7> SELECT * FROM udf_EmpRegionPlaceTAB(@EmpID)
8> GO
RegionID          Territory                                          RegionID
-------------------- -------------------------------------------------- -----------
(0 rows affected)
1>
2>
3>
4> drop FUNCTION dbo.udf_EmpRegionPlaceTAB;
5> GO
1> drop table EmployeeRegion;
2> drop table RegionPlace;
3> drop table Employees;
4> GO
1>


Query a table returned from a function

2>
2>
3> CREATE TABLE authors(
4>    au_id          varchar(11),
5>    au_lname       varchar(40)       NOT NULL,
6>    au_fname       varchar(20)       NOT NULL,
7>    phone          char(12)          NOT NULL DEFAULT ("UNKNOWN"),
8>    address        varchar(40)           NULL,
9>    city           varchar(20)           NULL,
10>    state          char(2)               NULL,
11>    zip            char(5)               NULL,
12>    contract       bit               NOT NULL
13> )
14> GO
1> insert authors values("1",  "Joe",   "Abra",   "111 111-1111", "6 St.", "Berkeley",  "CA", "11111", 1)
2> insert authors values("2",  "Jack",  "Majo",   "222 222-2222", "3 St.", "Oakland" ,  "CA", "22222", 1)
3> insert authors values("3",  "Pink",  "Cherry", "333 333-3333", "5 Ln.", "Vancouver", "BC", "33333", 1)
4> insert authors values("4",  "Blue",  "Albert", "444 444-4444", "7 Av.", "Vancouver", "BC", "44444", 1)
5> insert authors values("5",  "Red",   "Anne",   "555 555-5555", "6 Av.", "Regina",    "SK", "55555", 1)
6> insert authors values("6",  "Black", "Michel", "666 666-6666", "3 Pl.", "Regina",    "SK", "66666", 1)
7> insert authors values("7",  "White", "Sylvia", "777 777-7777", "1 Pl.", "Rockville", "MD", "77777", 1)
8> insert authors values("8",  "Yellow","Heather","888 888-8888", "3 Pu",  "Vacaville", "CA", "88888", 0)
9> insert authors values("9",  "Gold",  "Dep",    "999 999-9999", "5 Av.", "Oakland",   "CA", "99999", 0)
10> insert authors values("10", "Siler", "Dean",   "000 000-0000", "4 Av.", "Oakland",   "CA", "00000", 1)
11> 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>
2>
3>    CREATE FUNCTION dbo.fnAuthorList()
4>    RETURNS TABLE
5>    AS
6>    RETURN (SELECT au_id,
7>                au_lname + ", " + au_fname AS au_name,
8>                address AS address1,
9>                city + ", " + state + " " + zip AS address2
10>            FROM authors)
11>    GO
1>
2>    SELECT * FROM dbo.fnAuthorList()
3>    GO
au_id       au_name                                                        address1                                 address2
----------- -------------------------------------------------------------- ---------------------------------------- ------------------------------
1           Joe, Abra                                                      6 St.                                    Berkeley, CA 11111
2           Jack, Majo                                                     3 St.                                    Oakland, CA 22222
3           Pink, Cherry                                                   5 Ln.                                    Vancouver, BC 33333
4           Blue, Albert                                                   7 Av.                                    Vancouver, BC 44444
5           Red, Anne                                                      6 Av.                                    Regina, SK 55555
6           Black, Michel                                                  3 Pl.                                    Regina, SK 66666
7           White, Sylvia                                                  1 Pl.                                    Rockville, MD 77777
8           Yellow, Heather                                                3 Pu                                     Vacaville, CA 88888
9           Gold, Dep                                                      5 Av.                                    Oakland, CA 99999
10          Siler, Dean                                                    4 Av.                                    Oakland, CA 00000
(10 rows affected)
1>
2>    drop table authors;
3>    GO
1>    drop FUNCTION dbo.fnAuthorList;
2>    GO


Return TOP 100 PERCENT WITH TIES from a function

3> CREATE TABLE RegionPlace
4>      (RegionID nvarchar (20) NOT NULL ,
5>      TerritoryDescription nchar (50) NOT NULL ,
6>         RegionID int NOT NULL
7> )
8> GO
1>
2> Insert Into RegionPlace Values ("01581","Westboro",1)
3> Insert Into RegionPlace Values ("01730","Bedford",1)
4> Insert Into RegionPlace Values ("01833","Georgetow",1)
5> Insert Into RegionPlace Values ("95060","Santa Cruz",2)
6> Insert Into RegionPlace Values ("98004","Bellevue",2)
7> Insert Into RegionPlace Values ("98052","Redmond",2)
8> Insert Into RegionPlace Values ("98104","Seattle",2)
9> Go
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1> CREATE TABLE EmployeeRegion
2>      (EmployeeID int NOT NULL,
3>       RegionID nvarchar (20) NOT NULL
4> )
5> GO
1>
2> Insert Into EmployeeRegion Values (1,"06897")
3> Insert Into EmployeeRegion Values (1,"19713")
4> Insert Into EmployeeRegion Values (9,"48084")
5> Insert Into EmployeeRegion Values (9,"48304")
6> Insert Into EmployeeRegion Values (9,"55113")
7> Insert Into EmployeeRegion Values (9,"55439")
8> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2> CREATE FUNCTION dbo.udf_EmpRegionPlaceTAB (
3>     @EmployeeID int
4> )   RETURNS TABLE
5> AS RETURN
6> SELECT TOP 100 PERCENT WITH TIES
7>        et.RegionID
8>      , t.TerritoryDescription as [Territory]
9>      , t.RegionID
10>     FROM EmployeeRegion et
11>          LEFT OUTER JOIN RegionPlace t
12>              ON et.RegionID = t.RegionID
13>     WHERE et.EmployeeID = @EmployeeID
14>     ORDER BY t.TerritoryDescription
15>
16> GO
1>
2> drop FUNCTION dbo.udf_EmpRegionPlaceTAB;
3> GO
1> drop table EmployeeRegion;
2> drop table RegionPlace;
3> GO


The syntax for altering a multi-statement table-valued function

ALTER FUNCTION [owner_name.]function_name
    ([@parameter_name data_type [= default]] [, ...])
RETURNS @return_variable TABLE
(column_name_1 data_type [column_attributes]
[, column_name_2 data_type [column_attributes]]...)
[WITH {ENCRYPTION|SCHEMABINDING|ENCRYPTION,SCHEMABINDING}]
BEGIN
    sql_statements
    RETURN
END


The syntax for altering a simple table-valued function

ALTER FUNCTION [owner_name.]function_name
    ([@parameter_name data_type [= default]] [, ...])
RETURNS TABLE
[WITH {ENCRYPTION|SCHEMABINDING|ENCRYPTION,SCHEMABINDING}]
RETURN [(] select_statement [)]


The syntax for creating a multi-statement table-valued function

CREATE FUNCTION [owner_name.]function_name
    ([@parameter_name data_type [= default]] [, ...])
RETURNS @return_variable TABLE
(column_name_1 data_type [column_attributes]
[, column_name_2 data_type [column_attributes]]...)
[WITH {ENCRYPTION|SCHEMABINDING|ENCRYPTION,SCHEMABINDING}]
[AS]
BEGIN
    sql_statements
    RETURN
END


The syntax for creating a scalar-valued function

CREATE FUNCTION [owner_name.]function_name
    ([@parameter_name data_type [= default]] [, ...])
RETURNS data_type
[WITH {ENCRYPTION|SCHEMABINDING|ENCRYPTION,SCHEMABINDING}]
[AS]
BEGIN
    [sql_statements]
    RETURN scalar_expression
END


The syntax for creating a simple table-valued function

CREATE FUNCTION [owner_name.]function_name
    ([@parameter_name data_type [= default]] [, ...])
RETURNS TABLE
[WITH {ENCRYPTION|SCHEMABINDING|ENCRYPTION,SCHEMABINDING}]
[AS]
RETURN [(] select_statement [)]


The syntax of the ALTER FUNCTION statement for a scalar valued function

ALTER FUNCTION [owner_name.]function_name
    ([@parameter_name data_type [= default]] [, ...])
RETURNS data_type
[WITH {ENCRYPTION|SCHEMABINDING|ENCRYPTION,SCHEMABINDING}]
BEGIN
    [sql_statements]
    RETURN scalar_expression
END


Use function as a view

3> CREATE TABLE Products (
4>      ProductID int NOT NULL ,
5>      ProductName nvarchar (40) NOT NULL ,
6>      SupplierID int NULL ,
7>      CategoryID int NULL ,
8>      QuantityPerUnit nvarchar (20) NULL ,
9>      UnitPrice money NULL,
10>     UnitsInStock smallint NULL,
11>     UnitsOnOrder smallint NULL,
12>     ReorderLevel smallint NULL,
13>     Discontinued bit NOT NULL
14> )
15> GO
1> INSERT Products VALUES(1,"F",15,4,"10 - 999 g pkgs.",61.5,66,6,6,6)
2> INSERT Products VALUES(2,"M",14,4,"24 - 888 g pkgs.",34.8,74,7,7,7)
3> INSERT Products VALUES(3,"R",17,8,"24 - 777 g jars",17,171,0,5,0)
4> INSERT Products VALUES(4,"L",4,7,"5 kg pkg.",10,4,20,5,0)
5> INSERT Products VALUES(5,"R",12,1,"24 - 0.5 l bottles",1.23,445,0,25,0)
6> INSERT Products VALUES(6,"L",23,1,"500 ml",18,57,1,20,0)
7> INSERT Products VALUES(7,"O",12,2,"12 boxes",13,23,0,15,0)
8> go
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2>    CREATE PROC spMarkupTest
3>       @MarkupAsPercent money
4>    AS
5>       DECLARE @Multiplier money
6>    SELECT @Multiplier = @MarkupAsPercent / 100 + 1
7>    SELECT TOP 10 ProductId, ProductName, UnitPrice,
8>       UnitPrice * @Multiplier AS "Marked Up Price", "New Price" =
9>       CASE WHEN FLOOR(UnitPrice * @Multiplier + .24)
10>                  > FLOOR(UnitPrice * @Multiplier)
11>                          THEN FLOOR(UnitPrice * @Multiplier) + .95
12>            WHEN FLOOR(UnitPrice  * @Multiplier + .5) >
13>                  FLOOR(UnitPrice * @Multiplier)
14>                          THEN FLOOR(UnitPrice * @Multiplier) + .75
15>            ELSE FLOOR(UnitPrice * @Multiplier) + .49
16>       END
17>    FROM Products
18>    ORDER BY ProductID DESC
19>                              
20>    GO
1>
2>    EXEC spMarkupTest 10
3>
4>    drop PROC spMarkupTest;
5>
6>
7>    drop table Products;
8>    GO
ProductId   ProductName                              UnitPrice             Marked Up Price       New Price
----------- ---------------------------------------- --------------------- --------------------- ----------------------
          7 O                                                      13.0000               14.3000                14.4900
          6 L                                                      18.0000               19.8000                19.9500
          5 R                                                       1.2300                1.3530                 1.4900
          4 L                                                      10.0000               11.0000                11.4900
          3 R                                                      17.0000               18.7000                18.7500
          2 M                                                      34.8000               38.2800                38.4900
          1 F                                                      61.5000               67.6500                67.7500
(7 rows affected)


Use function to wrap a long sql statement

4>
5> CREATE TABLE authors(
6>    au_id          varchar(11),
7>    au_lname       varchar(40)       NOT NULL,
8>    au_fname       varchar(20)       NOT NULL,
9>    phone          char(12)          NOT NULL DEFAULT ("UNKNOWN"),
10>    address        varchar(40)           NULL,
11>    city           varchar(20)           NULL,
12>    state          char(2)               NULL,
13>    zip            char(5)               NULL,
14>    contract       bit               NOT NULL
15> )
16> GO
1> insert authors values("1",  "Joe",   "Abra",   "111 111-1111", "6 St.", "Berkeley",  "CA", "11111", 1)
2> insert authors values("2",  "Jack",  "Majo",   "222 222-2222", "3 St.", "Oakland" ,  "CA", "22222", 1)
3> insert authors values("3",  "Pink",  "Cherry", "333 333-3333", "5 Ln.", "Vancouver", "BC", "33333", 1)
4> insert authors values("4",  "Blue",  "Albert", "444 444-4444", "7 Av.", "Vancouver", "BC", "44444", 1)
5> insert authors values("5",  "Red",   "Anne",   "555 555-5555", "6 Av.", "Regina",    "SK", "55555", 1)
6> insert authors values("6",  "Black", "Michel", "666 666-6666", "3 Pl.", "Regina",    "SK", "66666", 1)
7> insert authors values("7",  "White", "Sylvia", "777 777-7777", "1 Pl.", "Rockville", "MD", "77777", 1)
8> insert authors values("8",  "Yellow","Heather","888 888-8888", "3 Pu",  "Vacaville", "CA", "88888", 0)
9> insert authors values("9",  "Gold",  "Dep",    "999 999-9999", "5 Av.", "Oakland",   "CA", "99999", 0)
10> insert authors values("10", "Siler", "Dean",   "000 000-0000", "4 Av.", "Oakland",   "CA", "00000", 1)
11> 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>
2> CREATE TABLE titleauthor(
3>    au_id          varchar(20),
4>    title_id       varchar(20),
5>    au_ord         tinyint               NULL,
6>    royaltyper     int                   NULL
7> )
8> GO
1>
2> insert titleauthor values("1", "2", 1, 60)
3> insert titleauthor values("2", "3", 1, 100)
4> insert titleauthor values("3", "4", 1, 100)
5> insert titleauthor values("4", "5", 1, 100)
6> insert titleauthor values("5", "6", 1, 100)
7> insert titleauthor values("6", "7", 2, 40)
8> insert titleauthor values("7", "8", 1, 100)
9> insert titleauthor values("8", "9", 1, 100)
10> 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>
2> CREATE TABLE sales(
3>    stor_id        char(4)           NOT NULL,
4>    ord_num        varchar(20)       NOT NULL,
5>    ord_date       datetime          NOT NULL,
6>    qty            smallint          NOT NULL,
7>    payterms       varchar(12)       NOT NULL,
8>    title_id       varchar(80)
9> )
10> GO
1> insert sales values("1", "QA7442.3", "09/13/94", 75, "ON Billing","1")
2> insert sales values("2", "D4482",    "09/14/94", 10, "Net 60",    "1")
3> insert sales values("3", "N914008",  "09/14/94", 20, "Net 30",    "2")
4> insert sales values("4", "N914014",  "09/14/94", 25, "Net 30",    "3")
5> insert sales values("5", "423LL922", "09/14/94", 15, "ON Billing","3")
6> insert sales values("6", "423LL930", "09/14/94", 10, "ON Billing","2")
7> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2>    CREATE FUNCTION dbo.fnSalesCount(@SalesQty bigint)
3>    RETURNS TABLE
4>    AS
5>    RETURN (SELECT au.au_id,
6>                au.au_lname + ", " + au.au_fname AS au_name,
7>                au.address,
8>                au.city + ", " + au.state + " " + zip AS Address2
9>            FROM authors au
10>            JOIN titleauthor ta
11>                ON au.au_id = ta.au_id
12>            JOIN sales s
13>                ON ta.title_id = s.title_id
14>            GROUP BY au.au_id,
15>                au.au_lname + ", " + au.au_fname,
16>                au.address,
17>                au.city + ", " + au.state + " " + zip
18>            HAVING SUM(qty) > @SalesQty
19>            )
20>    GO
1>
2>    SELECT *
3>    FROM dbo.fnSalesCount(25)
4> GO
au_id       au_name                                                        address                                  Address2
----------- -------------------------------------------------------------- ---------------------------------------- ------------------------------
1           Joe, Abra                                                      6 St.                                    Berkeley, CA 11111
2           Jack, Majo                                                     3 St.                                    Oakland, CA 22222
(2 rows affected)
1> drop FUNCTION dbo.fnSalesCount;
2> GO
1>
2> drop table authors;
3> GO
1> drop table titleauthor;
2> drop table sales;
3> GO
1>