MySQl Subject IP class XII

1. Chapter 9
MORE ON DATABASE AND SQL
Single Row functions - Single row functions are the one who work on single
row and return one output per row. For example, length and case conversion
functions are single row functions.
Multiple Row functions - Multiple row functions work upon group of rows
and return one result for the complete set of rows. They are also known as
Group Functions.
AGGREGATE (GROUP) FUNCTIONS
Group functions or Aggregate functions work upon groups of rows, rather
than on single rows. That is why, these function are also called multiple row
functions.
1. AVG – This function computes the average of given data.
Example – Calculate average salary of all employees listed in table empl
Q- to find the average salary in empl for job of salesman
2. COUNT – This function is used to counts the number of values in a
column. While counting it ignore the NULL values.
Count(*) – Returns the number of rows satisfying the condition, if any in
the table.
Count (Column Name) – Return Non-NULL values in the column.
Example 1 – Count number of records in table empl.

2. Example 2 – Count number of jobs in table empl.
Example 3 – Count number of commission in table empl.
Note: Ignore the null values while counting.
Example 4 – How many distinct jobs are listed in table empl?

3. 3. MAX – This function returns the maximum value from a given column or
expression.
Example 1 – Display maximum salary from empl.
Q1 –
Display maximum salary in empl for job salesman.
Q2- Write the output of following query:
4. MIN - This function returns the minimum value from a given column or
expression.
Example 1 – Display the joining date of seniormost employee.
Q 1. Display minimum commission from empl.
5. SUM – This function returns the sum of value in given column or
expression.
Example 1 – Display total salary of all employees listed in table empl.
Q1. Display total salary for job salesman.

4. Aggregate functions and NULL values:
All aggregate functions ignore NULL values. The * is the only argument that
includes NULLs when it is used with COUNT function.
Example 1 –
Indicate that there are 5 records in the table empl.
Example 2 –
Output indicates that there are 3 values in the comm Column of empl table.
This feature of aggregate functions ensures that NULLs don’t play any role
in actual calculations. For example
The average comm has been calculated for all the 3 non NULL values.

5. GROUPING RESULT – GROUP BY
The GROUP BY clause combines all those records that have the same values
in a particular field or a group of fields. This statement divides the table into
groups.
Example 1 : Calculate the number of employees in each grade form table
empl
Example 2 :Display total salary department wise
Q1- Count total number of employees in each department.
Grouping on Multiple Columns
With GROUP BY we can create groups within groups. Such type of grouping is
called Nested Grouping.
Example – 1 : Count the number of employees in each department jobwise.

6. HAVING Clause : HAVING clause is used to specify condition with GROUP BY
clause . HAVING can include aggregate functions also.
Example 1: Count the number of employees belonging to department
number 20.
Example 2: To display the jobs where the number of employees is
less than 3.

7. Example 3 : To calculate the average commission and total commission
department wise where average commission is more than 500.
.
Example 4 : We can use an aggregate function in the HAVING even if it is not
in the SELECT list.
Example 5 : We can also use IN or BETWEEN operators with HAVING.

8. JOINS
A join is a query that combines rows from two or more tables.
In a join-query , more than one table are listed in FROM clause. The function
of combine data from multiple tables is called joining.
For example :
SELECT * FORM EMPL, DEPT;
Cartesian Product or Cross Join of Tables :
Def - The Cartesian Product (or Cross Join) is a very basic type of join that
simply matches each row from one table to every row from another table.
If two tables contain 3 rows and 2 rows respectively, then their Cartesian
product will contain 6 = (3 X 2) rows.
The number of columns in the Cartesian product is the sum of the number of
columns in both the tables.
Consider following tables:

9. Example of Cartesian Product:
SELECT * FROM order_table, product;

10. Equi Join of tables:
Def - The Join, in which column are compared for equality, is called Equi –
Join.
In Equi-join, all the columns from joining table appear in the output even if
they are identical.
Example 1 : Write query to find out the “Product Name” corresponding to
each Order placed.
SELECT * FROM Order_table, Product
WHERE p_code = code;

11. Internally the Cartesian product of the table is made. Then based on the
specified condition the meaningful data is extracted from this Cartesian
product and displayed.
Qualified Names
<table name>.<field name> is called qualified name. Qualified field
names are very useful in identifying a filed if the two joining table have
fields with same name.

12. Example 2 : Write a Query to display supplier name and address
corresponding to each order placed.

13. Example 3- Write a query to produce the following output:
Ans –
Select Order_no,Product.name “Product”,Supplier.Name “Supplier”
From order_table, Product, Supplier
WHERE order_table.Sup_Code = Supplier.Sup_Code
AND P_Code = Code;

14. Foreign Key: A non-key attribute, whose values are derived from the
primary key of some other table. A foreign key in a table is used to ensure
referential integrity and to get Equi-Join of two tables.
Code is the Primary Key of Product table. In the order_table, P_Code is a
Foreign Key.
Referential Integrity: This property of a relational database which ensures
that no entry in a foreign key column of a table can be made unless it
matches a primary key value in the corresponding related table is called
Referential Integrity
Union
The UNION operator is used to combine the result-set of two or more SELECT
statements.
Result-set can be combined only if each SELECT statement within the UNION
must have the same number of columns. The columns must also have similar
data types. Also, the columns in each SELECT statement must be in the same
order.
Syntax :
SELECT column_name(s) FROM table1
UNION
SELECT column_name(s) FROM table2;

15. Suppose a Database contains two tables: XIISC and XIICOM. If it is required
to produce a combined list of all the students, then it can be done as follows:
SELECT rollno,name,class from xiisc
UNION
SELECT rollno,name,class from xiicom;

16. SQL Constraints
Def – A Constraint is a condition or check applicable on a field or set of fields.
Types of constraint
1. Not Null – Makes sure that NULLs are not accepted in the specified
column. Example
CREATE TABLE CUSTOMER
( SID INTEGER NOT NULL,
FIRST_NAME VARCHAR(30) NOT NULL,
LAST_NAME VARCHAR(30) );
2. DEFAULT Constraint – The DEFAULT constraint provides a default value
to a column when the INSERT INTO statement does not provide a specific
value. Example
CREATE TABLE CUSTOMER
( SID INTEGER
FIRST_NAME VARCHAR(30) ,
LAST_NAME VARCHAR(30)
SCORE INTEGER DEFAULT 80);
and execute the following statement,
INSERT INTO CUSTOMER
(SID,FIRST_NAME,LAST_NAME)
VALUES (1, ’AJAY’, ’SHARMA’);
Then output will be
SID FIRST_NAME LAST_NAME SCORE
1 AJAY SHARMA 80

17. 3. UNIQUE Constraint – Makes sure that duplicate values in the specified
column are not accepted. Example
4. PRIMARY KEY Constraint –
1. Defining Primary Key through Create Table Command
2. Composite Primary Key – When multiple fields are used as a primary
key, they are called a composite primary key.
CREATE TABLE CUSTOMER
( BRANCH INTEGER,
SID INTEGER ,
FIRST_NAME VARCHAR(30) ,
LAST_NAME VARCHAR(30)
PRIMARY KEY (BRANCH, SID));
1. Defining Primary Key through Alter Table Command
ALTER TABLE CUSTOMER
ADD PRIMARY KEY (SID);