1) The document provides information on various SQL functions for string manipulation, date functions, aggregate functions, and selecting rows from tables based on conditions. 2) String functions include concatenation, conversion between ASCII and character values, indexing and pattern matching. Date functions include adding/subtracting dates and retrieving date parts. Aggregate functions include average, count, max, min and sum. 3) Row selection can be done using comparison, range, list, string and logical operators to specify conditions in the WHERE clause. Distinct, TOP and PERCENT clauses can also be used for result set filtering.

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String functions provided by SQL
server.
FUNCTION DESCRIPTION
Expression+expression[+expression] Concatenates two or more character or
binary strings.
ASCII (character_expression) Returns the ASCII value of the
characater expression
CHAR (integer_expression) Returns the character equivalent of the
ASCII code value.
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Date Functions:
The syntax is:
SELECT date_function(parameters)
FUNCTION DESCRIPTION
DATEADD(datepart, number, date) Adds the no.of dateparts to date.
DATEDIFF(datepart, date1, date2) Returns the number of dateparts
between two dates.
DATENAME(datepart, date) Returns the integer value of the date
part.
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CHARINDEX(‘pattern’, expression) Returns the starting position of the
specified pattern.
DIFFERENCE (character_expression1,
character_expression2)
Compares two straing and evaluates
the similarity between them on a scale
of 1 to 4.
LOWER (character_expression) Converts two string and evaluates the
similarity between them on a scale of 1
to 4.
LTRIM(character_expression) Returns the data with out leading
brackets
PATINDEX(‘%pattern’, expression) Returns the starting position of the first
occurrence of the pattern in the
specified expression, zero if the pattern
is not found.
REPLICATE(char_expression,
integer_expression
Repeats a character expression a
specified number of times.
REVERSE(character_expression) Returns the reverse of character
expression.
RIGHT(character_expression,
integer_expression)
Returns the part of the character string
from the right.
RTRIM(character_expression) Returns the data without tailing blanks.
SOUNDEX(character_expression) Returns the four-digit code to evaluate
the similarity of two character strings.
SPACE(numeric_expression) Returns a string of repeated spaces.
The number of spaces is equal to the
integer expression.
STR(float expression[,length[,decimal]]) Returns character data converted from
numeric data.
STUFF(charactaer_expression1,start,length,
character_expression)
Deletes length characters from first
character exspression at start and then
inserts character expression2 into
character expression.
UPPER(character_expression) Converts the character expression into
upper case.
2

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DATEPART(datepart,date) Returns the integer value of the date
part.
GETDATE() Returns the current date and time.
Examples:
SELECT GETDATE()
The above statement displays the current system date and time with the help
of the GETDATE function.
SELECT DATEDIFF(yy,ord_date,getdate())
This statement uses the DATEDIFF function to find the difference between the
current date and the order_date, from sales tables. The difference should be
expressed in terms of number of years.
SELECT title, DATEPART(yy,pubdate) FROM titles.
The above statement uses the DATEPART function to return the year when the book
was published, along with the title name.
SELECT Title=title_id, Month=dATENAME(mm,pubdate), year=DATENAME(yy,
pubdatae) FROM titles.
Data Conversion:
SQL server handles certain datatype conversion automatically. If a character
expression is compared with an int expression, SQL server makes the conversion
automatically for the comparison(implicit conversion).
The CONVERT function is used to change data from one type to another when SQL
server cannot implicitly perform a conversion. Using the CONVERT function, data can
be modified in variety of styles.
The syntax is:
Aggregate Functions
Aggregate functions are used to produce summary data using tables.
Function Parameters Description
AVG (ALL/DISTINCT] expression Returns the average of values
specified in the expression, either
all records or distinct records
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SELECT Ytd_Sales=CONVERT(char(10),ytd_sales)
FROM titles.
SELECT CONVERT(int, zip) FROM authors
CONVERT(datatype[(length), expression[,style])

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SUM (ALL/DISTINCT] expression) Returns the sum of values
specified in the expression, either
all records or distinct records.
MIN (expression) Returns the minimum of a value
specified in the expression.
MAX (expression) Returns the maximum of a value
specified in the expression.
COUNT (ALL| DISTINCT expression) Returns the number of unique or
all records specified in an
expression.
COUNT (*) Returns the total number of
records specified in an expression.
Examples of Aggregate functions
SELECT ‘Average Price”=AVG(price)
FROM titles
Returns the average value of all the
price values in the titles table with
user-defined heading.
SELECT ‘Sum’=SUM(DISTINCT
advance) FROM titles
Returns the sum value of all-the unique
advance values in the titles table with
user-defined heading.
SELECT ‘Minimum Ytd
Sales’=MIN(ytd_sales) FROM titles
Returns the minimum value of
ytd_sales value in the titles table with
user-defined heading.
SELECT ‘Maximum Ytd
Sales’=MAX(ytd_sales) FROM titles
Returns the maximum value of
ytd_sales in the titles table with user-
defined heading.
SELECT ‘Unique
Price’=COUNT(DISTINCT price) FROM
titles
Returns the number of unique price
values in the titles table with user-
defined heading.
SELECT ‘Price=COUNT(price) FROM
titles
Returns the number of total number of
price values in the titles with user-
defined heading.
Selecting Rows
There are situations in which only a few rows need to be retrieved from the
table based on a condition. The WHERE clause, is provided by SQL server, to specify
a condition.
The syntax for using the WHERE clause is:
Example:
Search Based On Conditions
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SELECT column_list FROM table_name WHERE search_condition
SELECT * FROM publishers WHERE state = ‘MA’

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SQL Server provides few methods of searching rows in a table. These
methods can be broadly categorized into the following categories.
 Comparison operators like =, >, <, >=, <=, !=, !< and !>
 Range operators like BETWEEN and NOT BETWEEN.
 List operators line IN and NOT IN.
 String operators like LIKE and NOT LIKE.
 Unknown values like IS NULL and NOT NULL.
 Logical operators like AND , OR and NOT.
Comparison Operator
The command syntax is:
SELECT column_list FROM table_name WHERE expression1
comparison_operator expression2
Valid Comparison operators
Operator Description
= Equal to
> Greater than
< Less than
>= Greater than or Equal to
<= Less than or Equal to
<>, != Not Equal to
!> Not Greater than
!< Not Less than
() Controls Precedence
Examples:
Range Operator
The range operator is used to retrieve data that can be extracted in ranges.
The range operations are:
 BETWEEN
 NOT BETWEEN
The syntax is:
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SELECT title FROM titles WHERE type=’business’
SELECT stor_id, ord_num, title_id FROM sales WHERE qty>20
SELECT type, title_id, price FROM titles WHERE price * ytd_sales<advance.
SELECT column_list FROM table_name WHERE expression1 range_operator
expression2 AND expression2
Examples:
1. SELECT title from titles WHERE advance BETWEEN 2000 AND 5000
2. SELECT title FROM titles
WHERE advance NOT BETWEEN 4000 AND 5000

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List Operator
The syntax is:
String Operator
SQL Server provides a pattern-matching method for string expressions using
the LIKE keyword with the wildcard characters. The LIKE keyword is used to select
those rows that match the specified portion of character string. The LIKE keyword
allows wildcard characters that can be used as a part of an expression.
Wild card Description
% Represents any string of zero or more characters(s)
- Represents a single character
[] Represents any single character within the specified range.
[^] Represents any single character not within the specified
range.
Examples of the LIKE operator with wildcards.
Example Description
SELECT title FROM titles WHERE
type LIKE ‘bus%’
Returns all titles from titles table where first
three characters of the column type are
‘bus’
SELECT * FROM publishers
WHERE country LIKE ‘US_’
Returns all rows from publishers table where
country name is three characters long and
starts with US where the third character can
be anything.
SELECT title_id, price FROM titles
WHERE title_id LIKE ‘P[SC]]%’
Returns all columns from the titles table
where title_id starts with the character P and
contains S or C in the second position
followed by any number of characters.
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SELECT column_list FROM table_name WHERE expression
list_operator(‘value_list’)
Examples:
1. SELECT pub_name, city, state FROM publishers
WHERE state IN (‘MA’, ‘DC’)
2. SELECT pub_name, city, state FROM publishers
WHERE state NOT IN (‘MA’, ‘DC’)

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SELECT title_id, price FROM titles
WHERE title_id, LIKE ‘P[^C]%’
Returns all title_id and price from the titles
table where title_id starts with P and does
not contain and S as the second character
and the third position onwards can contain
any characters.
Unknown Values
Unknown values refer to the data entered in the form of the NULL keyword.
In SQL serve terms, NULL is an unknown value or the value for which data is not
available. The rows containing the NULL values can be retrieved by using the IS
NULL keyword in the WHERE clause.
The Syntax is:
SELECT column_list FROM table_name
WHERE column_name unknown_value_operator.
SELECT title, ytd_sales FROM titles WHERE ytd_sales IS NULL
Logical Operator
 OR – Returns the result when any of the specified search conditions is
true.
 AND – returns the result when all of the specified search conditions
are true.
 NOT – Bnegates the expression that follows it.
SELECT column_list FROM table_name
WHERE conditional_expression{ANDOR}[NOT] conditional_expression.
Examples of Logical operators
Example Description
SELECT * FROM publishers WHERE
city=’Boston’ OR city=’Paris’
Returns all the rows specific to the
conditions, even if any one of the
conditions is true.
SELECT publishers WHERE
city=’Boston’ AND city=’MA’
Returns all the rows specific to the
conditions, when both the conditions
are true.
SELECT * FROM publishers WHERE
city=’Boston’ OR NOT city=’Paris’
Returns all the rows specific to the
conditions, except the rows specified
with the condition after NOT operator.
Distinct
The distinct clause removes duplicate rows from the result set. Duplicate rows
can be eliminated by using the DISTINCT keyword in the SELECT statement.
Syntax:
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SELECT [ALL|DISTINCT] column_name
FROM table_name
WHERE search_condition
Example:
SELECT DISTINCT title_id
FROM titleauthor
WHERE title_id LIKE’PS%’

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TOP and PERCENT
The TOP clause limits the number of rows returned in the result set.
The syntax is:
TOP n [PERCENT]
Where n specifies the number of rows are to be returned, if PERCENT is not
specified. If PERCENT is specified, n specifies the percentage of the rows to be
returned.
The TOP clause is used with the SELECT statement.
The following example returns the top 20 rows of the result set.
SELECT TOP 20
The next example returns the 10% of rows from top of the result set.
SELECT TOP 10 PERCENT
It the SELECT statement, including TOP, has and ORDER BY clause, then the rows
to be returned are selected after the ORDER BY statement has been applied.
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