CASE Function
CASE is typically classified as a system function; however, it could also be considered as a statement. There are two general uses of the CASE function. The first one is used to replace occurrences of one value with other values, as specified by the programmer. Syntax for this flavor of CASE is as follows:1.
SELECT
column_name
=
CASE
WHEN
column_name
=
'a'
THEN
'b'
ELSE
'c'
END
For instance, the following query attempts to specify the salary level for each job title within Adventure Works DW database:
01.
SELECT
DISTINCT
TITLE,
02.
SALARYRANGE
=
CASE
03.
WHEN
TITLE
LIKE
'Chief%'
THEN
'unlimited'
04.
WHEN
TITLE
LIKE
'%manager%'
THEN
'100K to 250K'
05.
WHEN
TITLE
LIKE
'%assistant%'
THEN
'20K to 40K'
06.
WHEN
TITLE
LIKE
'%supervisor%'
THEN
'50K to 65K'
07.
WHEN
TITLE
LIKE
'%technician%'
THEN
'30K to 60K'
08.
WHEN
TITLE
LIKE
'vice president%'
THEN
'250K to 500K'
09.
ELSE
'unknown'
10.
END
11.
FROM
DIMEMPLOYEE
Results (abbreviated):
01.
Title SalaryRange
02.
-------------------------------------------------- ------------
03.
Accountant
unknown
04.
Accounts Manager 100K
to
250K
05.
Assistant
to
the Chief Financial Officer 20K
to
40K
06.
Buyer
unknown
07.
Chief Executive Officer unlimited
08.
Chief Financial Officer unlimited
09.
Document Control Assistant 20K
to
40K
10.
Document Control Manager 100K
to
250K
11.
Engineering Manager 100K
to
250K
The other variation of CASE, which is sometimes referred to as the searched CASE, evaluates a Boolean expression and returns different values accordingly. For instance, we could use the searched CASE to categorize the top internet customers within Adventure Works DW database as follows:
1.
SELECT
CAST
(
FirstName
+
', '
+
LastName
AS
VARCHAR
(
35
)
)
AS
FullName, CustomerCategory
=
CASE
WHEN
SUM
(
SalesAmount
)
< 12000
THEN
'SILVER'
WHEN
SUM
(
SalesAmount
)
BETWEEN
12000
AND
13250
THEN
'GOLD'
WHEN
SUM
(
SalesAmount
)
BETWEEN
13250
AND
15000
THEN
'PLATINUM'
ELSE
'CREAM OF THE CROP'
END
,
SUM
(
SalesAMount
)
AS
TotalOrders
FROM
dimCustomer a
INNER
JOIN
FactInternetSales b
ON
a.CustomerKey
=
b.CustomerKey
GROUP
BY
FirstName
+
', '
+
LastName
HAVING
SUM
(
SalesAmount
)
>
=
11000
ORDER
BY
3
DESC
Results:
01.
FullName CustomerCategory TotalOrders
02.
----------------------------------- ----------------- ---------------------
03.
Jordan, Turner CREAM
OF
THE CROP 15999.0996
04.
Willie, Xu PLATINUM 13490.0596
05.
Nichole, Nara PLATINUM 13295.38
06.
Kaitlyn, Henderson PLATINUM 13294.27
07.
Margaret, He PLATINUM 13269.27
08.
Randall, Dominguez PLATINUM 13265.99
09.
Adriana, Gonzalez GOLD 13242.70
10.
Rosa, Hu GOLD 13215.65
11.
Brandi, Gill GOLD 13195.64
12.
Brad, She GOLD 13173.19
13.
Francisco, Sara GOLD 13164.64
14.
Maurice, Shan GOLD 12909.6682
15.
Janet, Munoz GOLD 12489.1696
16.
Lisa, Cai SILVER 11469.1882
17.
Franklin, Xu SILVER 11284.9707
18.
Lacey, Zheng SILVER 11248.4582
19.
Larry, Munoz SILVER 11068.0082
COALESCE Function
The COALESCE function returns the first value from a supplied list that is not NULL. COALESCE is a powerful tool if you are returning numerous values to a user and want to substitute occurrences of NULL with values from a different column or with an expression. The syntax is:1.
COALESCE
(
expression1, expression2, expressionN
)
For example, the following query will examine the parent account key column for each account within DimAccount table; if the value is NULL the query will return "none" as the parent account:
1.
SELECT
a.AccountDescription,
COALESCE
(
b.AccountDescription,
'None'
)
AS
ParentAccount
FROM
dimAccount a
LEFT
JOIN
dimAccount b
ON
a.ParentAccountKey
=
b.AccountKey
01.
AccountDescription ParentAccount
02.
-------------------------------------------------- --------------------------------------
03.
Balance Sheet
None
04.
Assets Balance Sheet
05.
Current
Assets Assets
06.
Cash
Current
Assets
07.
Receivables
Current
Assets
08.
Trade Receivables Receivables
09.
Other Receivables Receivables
10.
Net Income
None
11.
Operating Profit Net Income
12.
Gross Margin Operating Profit
13.
Net Sales Gross Margin
14.
Gross Sales Net Sales
15.
Intercompany Sales Gross Sales
16.
Returns
and
Adjustments Net Sales
17.
Discounts Net Sales
18.
Total Cost
of
Sales Gross Margin
19.
Statistical Accounts
None
20.
Headcount Statistical Accounts
21.
Current
Installments
of
Long
-
term Debt
Current
Liabilities
22.
Trade Sales Gross Sales
COALESCE function is equivalent to the CASE function if it checks each expression for NULL values and returns the non-null expression, as in:
1.
SELECT
coalesce_equivalent
=
CASE
WHEN
(
expression1
IS
NOT
NULL
)
THEN
expression1
WHEN
(
expression2
IS
NOT
NULL
)
THEN
expression2
ELSE
NULL
END
ISNULL Function
The ISNULL deterministic function is similar to COALESCE, but accepts only two parameters. The first parameter will be checked, and if NULL value is found, it will be replaced with the second parameter. Furthermore, ISNULL requires that both parameters have the same (not just compatible) data type. For example, we can return 'none' if the parent account of the given account is NULL:1.
SELECT
a.AccountDescription, ISNULL
(
b.AccountDescription,
'None'
)
AS
ParentAccount
FROM
dimAccount a
LEFT
JOIN
dimAccount b
ON
a.ParentAccountKey
=
b.AccountKey
Results would be identical to those results obtained with the COALESCE function.
NULLIF Function
The NULLIF deterministic function returns a NULL value if the two parameters it accepts are equivalent. NULLIF can be thought of as an opposite of ISNULL; for instance, we could substitute a NULL for number of employees if we find that number of employees for a particular reseller is 10:1.
SELECT
NumberEmployees,
NULLIF
(
NumberEmployees, 10
)
AS
manipulated_number_of_employees
FROM
dimReseller
WHERE
NumberEmployees
IN
(
10, 11
)
Results (abbreviated):
01.
NumberEmployees manipulated_number_of_employees
02.
--------------- -------------------------------
03.
10
NULL
04.
11 11
05.
11 11
06.
10
NULL
07.
10
NULL
08.
10
NULL
09.
11 11
10.
11 11
11.
10
NULL
GETANSINULL Function
The GETANSINULL function provides a quick way of checking whether column nullability is determined according to the ANSI 92 standard. The function returns 1 if ANSI null standard is used for column nullability, otherwise zero is returned. This function takes a single argument of database name. If database name isn't specified the setting is returned for the current database. For example:1.
SELECT
GETANSINULL
(
'AdventureWorksDW'
)
Results:
1.
------
2.
1
CAST and CONVERT Function
The CAST and CONVERT functions are very similar: Both translate a value from one data type to another. Although their performance is also similar, their syntax and potential usage is slightly different. The syntax is as follows:1.
CAST
(
expression
AS
new_data_type
)
CONVERT
(
new_data_type, expression, [style]
)
The expression must already have a data type that is translatable into the new_data_type. For instance, you can't convert an alphanumeric string into an integer.
Note: CONVERT has an optional parameter: style. This parameter is allowed only for cases when working with date and time values. SQL Server supports numerous formats for presenting date and time values; the style parameter is used to specify such format.
For example, suppose you want to retrieve dates from the dimTime table without returning the time portion. Either CAST or CONVERT function can be used as follows:
1.
SELECT
TOP
1
CAST
(
FullDateAlternateKey
AS
VARCHAR
(
12
)
)
FROM
DimTime
2.
SELECT
TOP
1
CONVERT
(
VARCHAR
(
12
)
, FullDateAlternateKey, 109
)
FROM
DimTime
1.
------------
2.
Jul 1 2001
1.
SELECT
TOP
1
CONVERT
(
VARCHAR
, FullDateAlternateKey, 110
)
FROM
DimTime
Results:
1.
------------------------------
2.
07
-
01
-
2001
@@IDENTITY, IDENTITY, SCOPE_IDENTITY, IDENT_CURRENT(), and NEWID() Function
The @@IDENTITY, IDENTITY, SCOPE_IDENTITY, IDENT_CURRENT(), and NEWID() functions deal with IDENTITIY values or globally unique identifiers. SQL Server 2005 also supports the NEWSEQUENTIALID() function for default constraints of columns with the UNIQUEIDENTIFIER data type.The NEWID() function could be used if you want to provide a default value for a column with the UNIQUEIDENTIFIER data type. This function can also be used to generate a new GUID in Transact-SQL. Columns with UNIQUEIDENTIFIER data type are often used as primary keys. Values generated by NEWID() function are impossible to predict and are not ordered, which can cause performance issues. For example, the following script creates a table and populates using NEWID() function for UNIQUEIDENTIFIER data type column. Note that resulting GUIDS are NOT sequential:
1.
CREATE
TABLE
test
(
test_column
UNIQUEIDENTIFIER
NOT
NULL
DEFAULT
NEWID
(
)
)
2.
INSERT
test
DEFAULT
VALUES
3.
INSERT
test
DEFAULT
VALUES
4.
INSERT
test
DEFAULT
VALUES
5.
INSERT
test
DEFAULT
VALUES
6.
SELECT
*
FROM
test
Results:
1.
test_column
2.
------------------------------------
3.
B7C4B585
-
7DDC
-
41FA
-
8AED
-
8EDD9F8BA483
4.
6E88893F
-
D913
-
43E0
-
9503
-
7A7BE0B9FAF2
5.
352E9644
-
07CC
-
4324
-
9FCE
-
AD61DAD4001A
6.
848F80F9
-
4E20
-
4969
-
A331
-
436E669819A8
Fortunately SQL Server 2005 supports the NEWSEQUENTIALID() function that generates a sequential GUIDS which tend to perform better than unordered GUID. The NEWSEQUENTIALID() function can only be used in a DEFAULT constraint expression. Since values generated by NEWSEQUENTIALID() are ordered one can predict the value that will be generated next; therefore this function shouldn't be exposed to the users if data security is of concern. For example, the following script creates a table and populates it with sequential values for UNIQUEIDENTIFIER data type column. Note that resulting GUIDS are sequential:
1.
CREATE
TABLE
test
(
test_column
UNIQUEIDENTIFIER
NOT
NULL
DEFAULT
NEWSEQUENTIALID
(
)
)
2.
INSERT
test
DEFAULT
VALUES
3.
INSERT
test
DEFAULT
VALUES
4.
INSERT
test
DEFAULT
VALUES
5.
INSERT
test
DEFAULT
VALUES
6.
SELECT
*
FROM
test
1.
test_column
2.
------------------------------------
3.
00700F04
-
4AB7
-
DA11
-
804B
-
006073E94311
4.
01700F04
-
4AB7
-
DA11
-
804B
-
006073E94311
5.
02700F04
-
4AB7
-
DA11
-
804B
-
006073E94311
6.
03700F04
-
4AB7
-
DA11
-
804B
-
006073E94311
1.
SELECT
IDENTITY
(
INT
, 1,1
)
AS
sales_key,
*
INTO
#new_sales
FROM
sales
- @@IDENTITY returns the last IDENTITY value inserted on the current connection. Suppose that you have an INSERT trigger on the order table that populates the audit_trail table, which also has an IDENTITY column. In such a case, the @@IDENTITY function will return the last identity value inserted, which would be the identity inserted in the audit_trail table instead of the identity value added to the order table. Therefore, if you try populating order_details with a value returned by the @@IDENTITY function, your data integrity will be compromised.
- The IDENT_CURRENT() function accepts a table name as the parameter and returns the last identity value generated in that table by any connection. If you were trying to populate order_details with the last identity value inserted into the order table, then IDENT_CURRENT('order') could work if you were the only user of the system; however, another user might have added a row to the order table a few milliseconds after you added the row to the same table. Therefore, using IDENT_CURRENT() in a multi-user system might also compromise your data integrity.
- The SCOPE_IDENTITY() function takes no parameters and returns the last identity value inserted within the current scope. So if an INSERT statement populating the order table executes a trigger and adds a row to the audit_trail table, SCOPE_IDENTITY() will return the last value added to the order table, whereas @@IDENTITY will return the last value added to audit_trail.
ISDATE Function
The ISDATE function determines whether the parameter passed is of a date and time data type. This function returns a BIT value, as in the following example:1.
SELECT
ISDATE
(
'february 31, 2009'
)
AS
'february 39, 2009'
,
ISDATE
(
'January 1, 2009'
)
AS
'1/1/2009'
1.
february 39, 2009 1
/
1
/
2009
2.
----------------- -----------
3.
0 1
ISNUMERIC Function
The ISNUMERIC deterministic function determines whether the parameter passed is of a numeric data type. This function returns a BIT value, as in the following example:1.
SELECT
ISNUMERIC
(
'abc'
)
AS
'abc'
,
ISNUMERIC
(
'123.45'
)
AS
'123.45'
1.
abc 123.45
2.
----------- -----------
3.
0 1
CURRENT_TIMESTAMP Function
The CURRENT_TIMESTAMP function works exactly the same way as GETDATE: It returns current date and time. For example:1.
SELECT
CURRENT_TIMESTAMP
1.
-----------------------
2.
2006
-
03
-
19 16:24:57.827
DATALENGTH Function
The DATALENGTH deterministic function is similar to the LEN function, which returns the length of a particular string expression. DATALENGTH returns the number of bytes used to represent an expression of any data type. For example, the following query returns the data length for currency which is stored as NCHAR(3) data type:1.
SELECT
TOP
1 DATALENGTH
(
CurrencyAlternateKey
)
, CurrencyALternateKey
FROM
dimCurrency
1.
CurrencyALternateKey
2.
----------- --------------------
3.
6 AED
@@TRANCOUNT Function
The @@TRANCOUNT function returns the number of open transactions on a particular connection. You can check the value of @@TRANCOUNT to troubleshoot blocking issues. @@TRANCOUNT can also be used for error handling; if @@TRANCOUNT returns anything other than 0, something must have gone wrong and you have uncommitted transactions on the current connection. This function does not take any parameters.XACT_STATE Function
The XACT_STATE function is new with SQL Server 2005. It is similar to @@TRANCOUNT since it determines whether there are any uncommitted transactions on the current connection. The XACT_STATE function does not accept any parameters. Unlike @@TRANCOUNT the XACT_STATE function can also determine if the uncommitted transaction has been classified as an uncomittable transaction. This function can return one of the following values:- 1 The session has an active transaction. The transaction can be committed.
- 0 The session has NO active transactions.
- (-1) The session has an active transaction; an error has occurred which classifies the active transaction as uncommittable. The transaction cannot be committed; neither can the session request rolling back to a savepoint. Rather the entire transaction must be rolled back. After the transaction has been rolled back the session can initiate a new transaction.
1.
IF
(
XACT_STATE
(
)
)
=
-
1
BEGIN
PRINT
'The transaction is in an uncommittable state. Rolling back transaction.'
ROLLBACK
TRANSACTION
;
END
@@ERROR Function
The @@ERROR function returns the number of the last error encountered on the current connection. If there are no errors, @@ERROR returns 0. The @@ERROR function is used for error handling. With SQL Server 2000 and previous releases checking @@ERROR was the only way to diagnose and troubleshoot errors. SQL Server 2005 introduces TRY / CATCH syntax for error handling as well as several new functions: ERROR_LINE, ERROR_NUMBER, ERROR_SEVERITY, ERROR_STATE, and ERROR_MESSAGE. Note that @@ERROR returns the error number returned by the last executed statement, so it's important to catch the error immediately after it occurs. For example, the following query catches the error because it checks for error immediately after the statement that encountered the error:1.
SELECT
1
/
0
SELECT
'error number is: '
+
CAST
(
@
@ERROR
AS
VARCHAR
)
1.
-----------
2.
Msg 8134,
Level
16,
State
1, Line 1 Divide
by
zero error encountered.
3.
-----------------------------------------------
4.
error number
is
: 8134
1.
SELECT
1
/
0
2.
SELECT
'this is a successful statement. it resets @@ERROR to zero!'
3.
SELECT
'error number is: '
+
CAST
(
@
@ERROR
AS
VARCHAR
)
1.
-----------
2.
Msg 8134,
Level
16,
State
1, Line 1 Divide
by
zero error encountered.
3.
-----------------------------------------------------------
4.
this
is
a successful
statement
. it resets @
@ERROR
to
zero
!
5.
-----------------------------------------------
6.
error number
is
: 0
@@ROWCOUNT Function
The @@ROWCOUNT function returns the number of rows affected by the last query. This function can be used effectively to find out whether the number of rows modified is the same as what you intended to modify. If your query was supposed to update 15 rows but @@ROWCOUNT returns 10 then something must have gone wrong. This function is often used for error handling. Much like with @@ERROR it's important to get @@ROWCOUNT value immediately after the statement you want to examine. For example, the following query erroneously reports that total number of affected rows is one, even though your main query returned 10 rows, as desired:1.
SELECT
TOP
10
*
FROM
dimCustomer
2.
SELECT
'this is a successfull statement. it resets @@ROWCOUNT to one!'
3.
SELECT
'number of rows affected is: '
+
CAST
(
@
@ROWCOUNT
AS
VARCHAR
)
Note: It's easy to confuse the functionality of ROWCOUNT and @@ROWCOUNT. The former advises SQL Server to affect only a specified number of rows (similar to the TOP keyword); the latter simply counts the number of rows affected, as shown here:
1.
/* first limit the output to 2 rows */
2.
SET
ROWCOUNT 2
3.
/* this query will affect only 2 rows */
4.
SELECT
EnglishProductSubcategoryName
FROM
DimProductSubCategory
5.
/* now use functions to count the number of affected rows */
6.
SELECT
@
@ROWCOUNT
AS
'@@rowcount_output'
,
ROWCOUNT_BIG
(
)
AS
'rowcount_big_output'
1.
EnglishProductSubcategoryName
2.
--------------------------------------------------
3.
Mountain Bikes Road Bikes
4.
@
@rowcount_output
rowcount_big_output
5.
----------------- --------------------
6.
2 2
APP_NAME() Function
The APP_NAME() function returns a string with the name of the application that initiated the database connection. APP_NAME() can be helpful if you're troubleshooting a connection and want to know which app initiated the offending process. For example:1.
SELECT
APP_NAME
(
)
1.
-------------------------------------------------
2.
Microsoft
SQL
Server Management Studio
-
Query
UPDATE() Function
The UPDATE() function is only available within INSERT or UPDATE triggers and determines whether a value of a single column has been modified. You can use this function to execute certain logic within a trigger only if the value of a particular column has changed. The function accepts column name as the only parameter. For example, the following query rolls back the transaction within trigger if the value of AccountCodeAlternateKey column has been changed:1.
IF
UPDATE
(
AccountCodeAlternateKey
)
BEGIN
RAISERROR
(
'key cannot be updated'
, 16, 1
)
ROLLBACK
END
COLUMNS_UPDATED() Function
The COLUMNS_UPDATED() function works similarly to UPDATE() except it checks for multiple columns being updated by the same statement. Like UPDATE() function the COLUMNS_UPDATED() is only available within insert and update triggers. This function returns a bit pattern with VARBINARY data type showing which columns have been affected by the INSERT or UPDATE statement that invoked the trigger. The function does not accept any parameters. For example, the following query checks whether columns 2, 3 and 4 have been modified:1.
IF
(
COLUMNS_UPDATED
(
)
& 14
)
=
14
BEGIN
SELECT
'columns 2, 3, and 4 have been changed'
END
ERROR_LINE Function
The ERROR_LINE function returns the line number at which the error occurred which caused the CATCH block of TRY / CATCH logic to execute. This function can be very useful in determining the statement that caused the error and troubleshooting the code module (stored procedure) that encountered the error. The function does not accept any parameters. For example, the following query returns the line number where the error occurred:01.
BEGIN
TRY
02.
SELECT
'empty string'
03.
04.
SELECT
1
/
0
05.
END
TRY
06.
07.
BEGIN
CATCH
08.
SELECT
'the error occurred at line '
+
CAST
(
ERROR_LINE
(
)
AS
VARCHAR
)
09.
END
CATCH
1.
------------
2.
empty string
3.
-----------
4.
--------------------------------------------------------
5.
the error occurred
at
line 3
ERROR_MESSAGE Function
The ERROR_MESSAGE function returns the text of the error which caused the CATCH block of TRY / CATCH logic to execute. This function can be very useful in determining the statement that caused the error and troubleshooting the code module (stored procedure) that encountered the error. The function does not accept any parameters. For example, the following query returns the error text:1.
BEGIN
TRY
2.
SELECT
1
/
0
3.
END
TRY
4.
BEGIN
CATCH
5.
SELECT
'the error was: '
+
ERROR_MESSAGE
(
)
6.
END
CATCH
Results:
1.
-----------
2.
--------------------------------------------------
3.
the error was: Divide
by
zero error encountered.
ERROR_NUMBER Function
The ERROR_NUMBER function returns the number of the error which caused the CATCH block of TRY / CATCH logic to execute. This function can be very useful in determining the statement that caused the error and troubleshooting the code module (stored procedure) that encountered the error. The function does not accept any parameters. For example, the following query returns the error number:1.
BEGIN
TRY
2.
SELECT
1
/
0
3.
END
TRY
4.
BEGIN
CATCH
5.
SELECT
'the error number was: '
+
CAST
(
ERROR_NUMBER
(
)
AS
VARCHAR
)
6.
END
CATCH
1.
----------- --------------------------------------------------
2.
the error number was: 8134
ERROR_PROCEDURE Function
The ERROR_PROCEDURE function returns the name of the stored procedure or trigger that encountered the error. This function does not accept any parameters and can be effectively called from CATCH block. For example, the following query creates a stored procedure that intentionally causes divide by zero error. Next the procedure is executed and the name of the erroneous stored procedure is returned:01.
CREATE
PROCEDURE
my_test_proc
AS
02.
SELECT
1
/
0
03.
GO
04.
BEGIN
TRY
05.
EXEC
my_test_proc
06.
END
TRY
07.
BEGIN
CATCH
08.
SELECT
'the erroneous procedure was: '
+
ERROR_PROCEDURE
(
)
09.
END
CATCH
Results:
1.
------------------------------------------
2.
the erroneous
procedure
was: my_test_proc
ERROR_SEVERITY Function
The ERROR_SEVERITY function returns the severity of the error which caused the CATCH block of TRY / CATCH logic to execute. The function does not accept any parameters. For example, the following query returns the error severity:1.
BEGIN
TRY
2.
SELECT
1
/
0
3.
END
TRY
4.
BEGIN
CATCH
5.
SELECT
'the error severity was: '
+
CAST
(
ERROR_SEVERITY
(
)
AS
VARCHAR
)
6.
END
CATCH
1.
------------------------------------------------------
2.
the error severity was: 16
ERROR_STATE Function
The ERROR_STATE function returns the state of the error which caused the CATCH block of TRY / CATCH logic to execute. The function does not accept any parameters. For example, the following query returns the error state:1.
BEGIN
TRY
2.
SELECT
1
/
0
3.
END
TRY
4.
BEGIN
CATCH
5.
SELECT
'the error state was: '
+
CAST
(
ERROR_STATE
(
)
AS
VARCHAR
)
6.
END
CATCH
1.
------------------------------------------------------
2.
the error
state
was: 1
Additional System Functions Function
The following table provides a quick reference for what the rest of the system functions do:System Function | Parameters | Description and Example |
---|---|---|
STATS_DATE | Table_id, index_id | Determining the last time statistics were updated. Example: 1. SELECT TOP 1 STATS_DATE ( object_id , index_id ) FROM sys.indexes Results: 1. ----------------------- 2. 2005 - 10 - 14 01:36:26.140 |
COLLATIONPROPERTY | Collation_name, property | Determining the value of a certain collation property. Example: 1. SELECT COLLATIONPROPERTY ( 'SQL_Latin1_General_CP1_CI_AS' , 'codepage' ) Results: 1. - - - - 1252 |
FN_HELPCOLLATIONS | None | Returns the list of supported collations. Example: 1. SELECT * FROM FN_HELPCOLLATIONS ( ) |
FN_SERVERSHAREDDRIVES | None | Returns the list of shared drives in clustered servers. Example: 1. SELECT * FROM FN_SERVERSHAREDDRIVES ( ) |
FN_VIRTUALFILESTATS | Database_id, file_id | Determining I/O stats for a certain database or log file. Example: 1. SELECT * FROM FN_VIRTUALFILESTATS ( 10, 1 ) |
FORMATMESSAGE | Message number, parameter value | Constructing an error message using an existing message in sysmessages table. Example: 1. sp_addmessage 50002, 16, 'terrible error on %s' 2. GO 3. DECLARE @var1 VARCHAR ( 100 ) 4. SELECT @var1 = FORMATMESSAGE ( 50002, 'Table1' ) 5. SELECT @var1 Results: 1. - - - - - - - - - - - - - - - - - - - - - - - - - - terrible error on Table1 |
SERVERPROPERTY | Property name | Returns a server property value. The following example returns the edition of the current instance: 1. SELECT SERVERPROPERTY ( 'edition' ) Results: 1. - - - - - - - - - - - - - - - - - Developer Edition |
SESSIONPROPERTY | Option | Getting a session value for various session options configured using SET statements. The following query returns ANSI_NULLS setting: 1. SELECT SESSIONPROPERTY ( 'ANSI_NULLS' ) Results: 1. - - 1 |
PARSENAME | Object_name, object_piece | Returning server, owner, database or name portion of the specified object. Object piece can take the following values: 1 - object nameExample: 1. SELECT PARSENAME ( 'dbo.DimAccount' , 2 ) Results: 1. - - - - - Dbo |
0 comments:
Post a Comment