Conditional Selections and Operations:
We have two clauses used in this
Ø  Where
Ø  Order by
USING WHERE 
Syntax: select * from <table_name> where <condition>; 
     The following are the different types of operators used in where clause.
v  Arithmetic operators      
v  Comparison operators
v  Logical operators
v  Arithmetic operators      -- Highest precedence
+, -, *, /
v  Comparison operators
a.       =, !=, >, <, >=, <=, <>
b.       between, not between
c.       in, not in
d.       null, not null
e.       like
v  Logical operators 
a.       And
b.       Or                                   -- Lowest precedence
c.       not
USING COMPARISION OPERATORS:  With WHERE Clause
a)      =, !=, >, <, >=, <=, <>
EX: SELECT *FROM STUDENT WHERE NO=5;
Output: only the number equal to 5 will give as result
| 
NO | 
NAME | 
MARKS | 
| 
5 | 
MOHAN | 
500 | 
EX: SELECT *FROM STUDENT WHERE NO>5;
Output: The numbers which are greater than 5 will give in the result.
| 
NO | 
NAME | 
MARKS | 
| 
6 | 
Manvi | 
600 | 
| 
7 | 
Namu | 
500 | 
| 
8 | 
Susu | 
300 | 
| 
9 | 
Thanu | 
200 | 
| 
10 | 
AJ | 
100 | 
| 
11 | 
MK | 
(null) | 
| 
12 | 
MD | 
(null) | 
EX: SELECT *FROM STUDENT WHERE NO<5;
Output: The numbers which are less than 5 will give in the result.
| 
NO | 
NAME | 
MARKS | 
| 
1 | 
Visu | 
100 | 
| 
2 | 
Vasu | 
200 | 
| 
3 | 
Manoj | 
300 | 
| 
4 | 
Aisu | 
400 | 
EX: SELECT *FROM STUDENT WHERE NO >=5;
Output: The numbers which are greater than equal to 5 will give in the result.
| 
NO | 
NAME | 
MARKS | 
| 
5 | 
Mohan | 
500 | 
| 
6 | 
Manvi | 
600 | 
| 
7 | 
Namu | 
500 | 
| 
8 | 
Susu | 
300 | 
| 
9 | 
Thanu | 
200 | 
| 
10 | 
AJ | 
100 | 
| 
11 | 
MK | 
(null) | 
| 
12 | 
MD | 
(null) | 
EX: SELECT *FROM STUDENT WHERE NO >=5;
Output: The numbers which are less than equal to 5 will give in the result.
| 
NO | 
NAME | 
MARKS | 
| 
1 | 
Visu | 
100 | 
| 
2 | 
Vasu | 
200 | 
| 
3 | 
Manoj | 
300 | 
| 
4 | 
Aisu | 
400 | 
| 
5 | 
Mohan | 
500 | 
EX: SELECT *FROM STUDENT WHERE NO <>5;
Output: with this statement except no 5, remaining all the rows will be displayed in the result.
| 
NO | 
NAME | 
MARKS | 
| 
1 | 
Visu | 
100 | 
| 
2 | 
Vasu | 
200 | 
| 
3 | 
Manoj | 
300 | 
| 
4 | 
Aisu | 
400 | 
| 
6 | 
Manvi | 
600 | 
| 
7 | 
Namu | 
500 | 
| 
8 | 
Susu | 
300 | 
| 
9 | 
Thanu | 
200 | 
| 
10 | 
AJ | 
100 | 
| 
11 | 
MK | 
(null) | 
| 
12 | 
MD | 
(null) | 
b)      Between, Not Between
Using Between:
SYNTAX: select * from <table_name> where <col> between <lower bound> and <upper bound>;
Ex: select * from student where marks between 200 and 400;
Output: With the above statement we are going to see the result of marks between 200 and 400.
| 
NO | 
NAME | 
MARKS | 
| 
2  | 
VASU | 
200 | 
| 
3 | 
MANOJ | 
300 | 
| 
4 | 
AISU | 
400 | 
| 
8 | 
SUSU | 
300 | 
| 
9 | 
THANU | 
200 | 
Using Not Between:
SYNTAX: select * from <table_name> where <col> not between <lower bound> and <upper bound>;
Ex: select * from student where marks not between 200 and 400;
Output: With the above statement, we are going to see result of marks between 200 and 400.
| 
NO | 
NAME  | 
MARKS | 
| 
1 | 
VISU | 
100 | 
| 
5 | 
MOHAN | 
500 | 
| 
6 | 
MANVI | 
600 | 
| 
7 | 
NAMU | 
500 | 
| 
10 | 
AJ | 
100 | 
c)       in, not in:
Using IN: This will give the output based on the column and its list of values specified.
Syntax: select * from <table_name> where <col> in ( value1, value2, value3 … valuen);
Ex: select * from student where no in (1, 2, 3);
Output: 
| 
NO | 
NAME | 
MRKS | 
| 
1 | 
VISU | 
100 | 
| 
2 | 
VASU | 
200 | 
| 
3 | 
MANOJ | 
300 | 
Using Not In: This will give the output based on the column which values are not in the list of values specified.
Syntax: select * from <table_name> where <col> not in ( value1, value2, value3 … valuen);
Ex: select * from student where no not in (1, 2, 3,7,8,9,10);
Output:
| 
NO | 
NAME | 
MARKS | 
| 
4 | 
Aisu | 
400 | 
| 
5 | 
Mohan | 
500 | 
| 
6 | 
Manvi | 
600 | 
| 
11 | 
MK | 
(null) | 
| 
12 | 
MD | 
(null) | 
d)      null, not null:
Using Null: This will give the output based on the null values in the specified column.
Syntax: select * from <table_name> where <col> is null;
Ex: select * from student where marks is null;
Output:
| 
NO | 
NAME | 
MARKS | 
| 
11 | 
MK | 
(null) | 
| 
12 | 
MD | 
(null) | 
Using Not Null: This will give the output based on the not null values in the specified column.
Syntax: select * from <table_name> where <col> is not null;
Ex: select * from student where marks is not null;
Output:
| 
NO | 
NAME | 
MARKS | 
| 
1 | 
Visu | 
100 | 
| 
2 | 
Vasu | 
200 | 
| 
3 | 
Manoj | 
300 | 
| 
4 | 
Aisu | 
400 | 
| 
5 | 
Mohan | 
500 | 
| 
6 | 
Manvi | 
600 | 
| 
7 | 
Namu | 
500 | 
| 
8 | 
Susu | 
300 | 
| 
9 | 
Thanu | 
200 | 
| 
10 | 
AJ | 
100 | 
e)      Like:
Using Like: This will be used to search through the rows of database column based on the pattern you specify.
Syntax: select * from <table_name> where <col> like <pattern>;
1.       Ex: select * from student where marks like 100;
Output: This will give the rows whose marks are 100. 
| 
NO | 
NAME | 
MARKS | 
| 
1 | 
VISU | 
100 | 
| 
10 | 
AJ | 
100 | 
2.       EX: select * from student where name like 'V%';
Output: This will give the rows whose name start with ‘V’.
| 
NO | 
NAME | 
MARKS | 
| 
1 | 
VISU | 
100 | 
| 
2 | 
VASU | 
200 | 
3.       EX: select * from student where name like '%J';
Output: This will give the rows whose name ends with ‘J’.
| 
NO | 
NAME | 
MARKS | 
| 
3 | 
MANOJ | 
300 | 
| 
10 | 
AJ | 
100 | 
4.       EX: select * from student where name like '_A%';
Output: This will give the rows whose name’s the second letter start with ‘A’.
| 
NO | 
NAME | 
MARKS | 
| 
2 | 
VASU | 
200 | 
| 
3 | 
MANOJ | 
300 | 
| 
6 | 
MANVI | 
600 | 
| 
7 | 
NAMU | 
500 | 
5.       EX: select * from student where name like '__N%';
Output: This will give the rows whose name’s the third letter start with ‘N’.
| 
NO | 
NAME | 
MARKS | 
| 
3 | 
MANOJ | 
300 | 
| 
6 | 
MANVI | 
600 | 
6.       EX: select * from student where name like '%_S%';
Output: This will give the rows whose name’s the second letter start with ‘S’ from ending.
| 
NO | 
NAME | 
MARKS | 
| 
1 | 
VISU | 
100 | 
| 
2 | 
VASU | 
200 | 
| 
4 | 
AISU | 
400 | 
| 
8 | 
SUSU | 
300 | 
7.       EX: select * from student where name like '%I__%';
Output: This will give the rows whose name’s the third letter start with ‘I’ from ending.
| 
NO | 
NAME | 
MARKS | 
| 
1 | 
VISU | 
100 | 
| 
4 | 
AISU | 
400 | 
8.       EX: select * from student where name like '%S% S %';
Output: This will give the rows whose name contains 2 S’s.
| 
NO | 
NAME | 
MARKS | 
| 
8 | 
SUSU | 
300 | 
LOGICAL OPERATORS:
a)   Using And:     
Syntax: select * from <table_name> where <condition1> and <condition2> and ..<conditionn>;
Ex: select * from student where no = 2 and marks = 200;
Output: This will give the output when all the conditions become true.
| 
NO | 
NAME | 
MARKS | 
| 
2 | 
VASU | 
200 | 
b)   Using Or: This will give the output when either of the conditions become true.
Syntax: select * from <table_name> where <condition1> and <condition2> or .. <conditionn>;
Ex: select * from student where no = 2 or marks >= 200;
Output:
| 
NO | 
NAME | 
MARKS | 
| 
2 | 
Vasu | 
200 | 
| 
3 | 
Manoj | 
300 | 
| 
4 | 
Aisu | 
400 | 
| 
5 | 
Mohan | 
500 | 
| 
6 | 
Manvi | 
600 | 
| 
7 | 
Namu | 
500 | 
| 
8 | 
Susu | 
300 | 
| 
9 | 
Thanu | 
200 | 
USING ORDER BY: This will be used to ordering the column's data (ascending or descending).
Syntax: Select * from <table_name> order by <col> desc;
By default, oracle will use ascending order, If you want the output in descending order you have to use desc keyword after the column.
Ex: select * from student order by no;
Output:
| 
NO | 
NAME | 
MARKS | 
| 
1 | 
Visu | 
100 | 
| 
2 | 
Vasu | 
200 | 
| 
3 | 
Manoj | 
300 | 
| 
4 | 
Aisu | 
400 | 
| 
5 | 
Mohan | 
500 | 
| 
6 | 
Manvi | 
600 | 
| 
7 | 
Namu | 
500 | 
| 
8 | 
Susu | 
300 | 
| 
9 | 
Thanu | 
200 | 
| 
10 | 
AJ | 
100 | 
| 
11 | 
MK | 
(null) | 
| 
12 | 
MD | 
(null) | 
EX: select * from student order by no desc;
| 
NO | 
NAME | 
MARKS | 
| 
12 | 
MD | 
(null) | 
| 
11 | 
MK | 
(null) | 
| 
10 | 
AJ | 
100 | 
| 
9 | 
Thanu | 
200 | 
| 
8 | 
Susu | 
300 | 
| 
7 | 
Namu | 
500 | 
| 
6 | 
Manvi | 
600 | 
| 
5 | 
Mohan | 
500 | 
| 
4 | 
Aisu | 
400 | 
| 
3 | 
Manoj | 
300 | 
| 
2 | 
Vasu | 
200 | 
| 
1 | 
Visu | 
100 | 

 
 
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