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Rdbmsexp 6

The document describes various SQL queries that can be performed on a sample employee database table including: 1. Selecting distinct values, renaming attributes, and adding computed attributes. 2. Using simple and complex conditions like AND, OR, NOT operators. 3. Partial matching with LIKE operator and wildcard characters. 4. Sorting in ASC and DESC order on single or multiple columns. 5. Checking for null values using IS NULL and IS NOT NULL operators.

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0% found this document useful (0 votes)
73 views6 pages

Rdbmsexp 6

The document describes various SQL queries that can be performed on a sample employee database table including: 1. Selecting distinct values, renaming attributes, and adding computed attributes. 2. Using simple and complex conditions like AND, OR, NOT operators. 3. Partial matching with LIKE operator and wildcard characters. 4. Sorting in ASC and DESC order on single or multiple columns. 5. Checking for null values using IS NULL and IS NOT NULL operators.

Uploaded by

Daksh
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
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Download as DOCX, PDF, TXT or read online on Scribd
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EXPERIMENT No: 6

Aim:
1. Simple queries: selection, projection, sorting on a simple table for employee database
2. Small-large number of attributes
3. Distinct output values Renaming attributes
4. Computed attributes
5. Simple-complex conditions (AND, OR, NOT)
6. Partial Matching operators (LIKE, %, _, *, ?)
7. ASC-DESC ordering combinations
8. Checking for Nulls.
Description:
DISTINCT OUTPUT VALUES: The SELECT DISTINCT statement is used to return only
distinct (different) values.
Syntax:
SELECT DISTINCT column1, column2, ...FROM table_name;
Example 1: SELECT DISTINCT City FROM student;
Example 2: SELECT COUNT(DISTINCT City) FROM student;
RENAMING ATTRIBUTES: Sometimes we may want to rename our table to give it a
more relevant name. For this purpose, we can use ALTER TABLE to rename the name of
table.
Syntax:
ALTER TABLE table_name RENAME COLUMN old_name TO new_name;
Example 1: ALTER TABLE Student RENAME COLUMN NAME TO FIRST_NAME;
COMPUTED ATTRIBUTES: The column of whose values depend on some existing
column is called as computed attributes/column.
Example: ALTER TABLE STUDENT ADD Fullname varchar(30) as (concat(First_Name, '
', Last_Name));

SIMPLE-COMPLEX CONDITIONS (AND, OR, NOT)


AND Operator: Logical AND operator compares two expressions and returns TRUE if both
the expressions are TRUE.
Syntax: condition1 (AND/OR/NOT) condition2
Example: Complete table

After applying conditions:


SELECT * FROM student WHERE age >= 18 AND age <= 25;

OR Operator: OR operator compares two expressions and returns TRUE if either of the
expressions is TRUE.
Example:
SELECT * FROM student WHERE Address='Jaipur' OR Address='Delhi';

NOT Operator: NOT operator reverses the input.


Example:
SELECT * FROM student WHERE NOT Address='Jaipur';

PARTIAL MATCHING OPERATORS (LIKE, %, _)


LIKE is used for simple pattern matching, % Matches any number of characters, _ matches
exactly one character.
Complete Relation:

Example:
#Starting with the word Rajput
SELECT * FROM student WHERE Full_Name LIKE 'Rajput%';

#Ending with the word Rajput


SELECT * FROM student WHERE Full_Name LIKE '%Rajput';

#The word should be there, anywhere it is.


SELECT * FROM student WHERE Full_Name LIKE '%Rajput%';

#Begning starts with A and ends with A


SELECT * FROM student WHERE Full_Name LIKE 'A%A';

#It will collect all the marks which are in 90 SELECT * FROM student Where Marks LIKE
'9_';

ASC-DESC ORDERING COMBINATIONS


There is way where you can use both orders ASC | DESC, to sort the records based on two or
more column, As sometime we need to show data in order of first column and then by second
column.
Example:
SELECT Year, Marks, Department FROM student ORDER BY Year DESC, Marks ASC,
Department ASC;
CHECKING FOR NULLS
When a column (field) of table has null values then comparison operators do not work on
those columns, in such case take use of IS NULL & IS NOT NULL operators for the null
check.
IS NULL Syntax:
SELECT column_name1, column_name2, column_name3, ...
FROM table_name
WHERE column_nameN IS NULL;

IS NOT NULL Syntax:


SELECT column_name1, column_name2, column_name3, ...
FROM table_name
WHERE column_nameN IS NOT NULL;

Example:
Employee Table

SELECT Employee_Name, Employee_Address,Employee_PhoneNo FROM employee1


WHERE Employee_PhoneNo IS NULL;
SELECT Employee_Name, Employee_Address,Employee_PhoneNo FROM employee1
WHERE Employee_PhoneNo IS NOT NULL;

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