Oracle sql material

SQL
What is SQL
 SQL stands for Structured Query Language
 SQL lets you access and manipulate databases
 According to ANSI (American National Standards Institute), it is the standard language for
relational database management systems
What Can SQL do?
 SQL can execute queries against a database
 SQL can retrieve data from a database
 SQL can insert records in a database
 SQL can update records in a database
 SQL can delete records from a database
 SQL can create new databases
 SQL can create new tables in a database
 SQL can create stored procedures in a database
 SQL can create views in a database
 SQL can set permissions on tables, procedures, and views
SQL Commands:
SQL commands are instructions used to communicate with the database to perform specific
task that work with data. SQL commands can be used not only for searching the database but also
to perform various other functions like, for example, you can create tables, add data to tables, or
modify data, drop the table, set permissions for users. SQL commands are grouped into four major
categories depending on their functionality:
 Data Definition Language (DDL)
CREATE, ALTER, DROP, RENAME, and TRUNCATE
 Data Manipulation Language (DML)
SELECT, INSERT, UPDATE, and DELETE
 Transaction Control Language (TCL)
COMMIT, ROLLBACK, and SAVEPOINT
 Data Control Language (DCL)

GRANT and REVOKE
Data Definition Language (DDL):-
CREATE
The CREATE TABLE Statement is used to create tables to store data.
Syntax:-
CREATE TABLE table_name
(column_name1 datatype,
column_name2 datatype,
... column_nameN datatype);
 table_name - is the name of the table.
 column_name1, column_name2.... - is the name of the columns
 datatype - is the datatype for the column like
For Example: If you want to create the employee table, the statement would be like,
CREATE TABLE employee
( id number(5),
name char(20),
dept char(10),
age number(2),
salary number(10),
location char(10) );
In the below statement, temp_employee table is created with the same number of columns and
datatype as employee table.
CREATE TABLE temp_employee
SELECT * FROM employee;
ALTER TABLE
Once a table is created in the database, there are many occasions where one may wish to
change the structure of the table. In general, the SQL syntax for ALTER TABLE is,
Syntax :- ALTER TABLE "table_name“ [alter specification];
 Add Column :- ALTER TABLE employee ADD gender char(1);
 Modify Column :- ALTER TABLE employee MODIFY Location char(30);
 Rename Column :- ALTER TABLE employee RENAME COLUMN id TO emp_id;
 Drop Column :- ALTER TABLE employee DROP COLUMN age;

Drop Table
The drop table command is used to delete a table and all rows in the table.
Syntax:- drop table "tablename“
Eg:- drop table temp_employee;
Rename Table
The Rename table command is used to rename table name
Syntax:- RENAME TABLE “tbl_name” TO “new_tbl_name”;
Eg:- RENAME table employee TO employee_details;
Truncate Table
TRUNCATE TABLE statement to remove all rows from a table
Syntax:- TRUNCATE TABLE “tbl_name”
Eg:- TRUNCATE TABLE employee_details
Data Manipulation Language (DML):-
SELECT
SQL SELECT statement is used to query or retrieve data from a table in the database. A
query may retrieve information from specified columns or from all of the columns in the table. To
create a simple SQL SELECT Statement, you must specify the column(s) name and the table name.
The whole query is called SQL SELECT Statement.
Syntax of SQL SELECT Statement:
SELECT column_list FROM table-name
[WHERE Clause]
[GROUP BY clause]
[HAVING clause]
[ORDER BY clause];
 table-name is the name of the table from which the information is retrieved.
 column_list includes one or more columns from which data is retrieved.
 The code within the brackets is optional.
Example: - SELECT name FROM employee;
SELECT * FROM employee;
INSERT
The INSERT Statement is used to add new rows of data to a table.We can insert data to a
table in two ways,
1) Inserting specific column data directly to a table.

Syntax of SQL Insert Statement:
INSERT INTO TABLE_NAME
[ (col1, col2, col3,...colN)]
VALUES (value1, value2, value3,...valueN);
Example of SQL Insert Statement
INSERT INTO employee (id, name, dept, age, salary location) VALUES (105, 'Sai', 'Aeronautics',
27, 33000);
2) Inserting All columns data directly to a table.
Syntax:-
INSERT INTO TABLE_NAME
VALUES (value1, value2, value3,...valueN);
Example
INSERT INTO employee
VALUES (105, ‘Sai', ‘Kiran', 27, 33000);
3) Inserting specific column data to a table through a select statement.
Syntax:-
INSERT INTO table_name
[(column1, column2, ... columnN)]
SELECT column1, column2, ...columnN
FROM table_name [WHERE condition];
Example:
(id, name, dept, age, salary location)
SELECT emp_id, emp_name, dept, age, salary, location
FROM temp_employee;
4) Inserting specific column data to a table through a select statement.
Syntax:-
INSERT INTO table_name
SELECT * FROM table_name
Example:
SELECT * FROM temp_employee;
NOTE: When adding a new row, you should ensure the datatype of the value and the column
matches
UPDATE

The UPDATE Statement is used to modify the existing rows in a table
Syntax:-
UPDATE table_name
SET column_name1 = value1,
column_name2 = value2, ...
[WHERE condition]
table_name - the table name which has to be updated.
column_name1, column_name2.. - the columns that gets changed.
value1, value2... - are the new values.
Example:-
UPDATE employee
SET location ='Mysore'
WHERE id = 101;
DELETE
The DELETE Statement is used to delete rows from a table.
The Syntax of a SQL DELETE statement is:
DELETE FROM table_name [WHERE condition];
The Example of a SQL DELETE statement is
DELETE FROM employee WHERE id = 100;
Transaction Control Language (TCL)
Transaction control statements manage changes made by DML statements.
To control transactions Oracle does not made permanent any DML statements unless you commit
it. If you don’t commit the transaction and power goes off or system crashes then the transaction is
roll backed.
COMMIT
Make changes done in transaction permanent.
insert into employee (emp_id,ename,sal) values (101,’Abid’,2300);
commit;
ROLLBACK
To rollback the changes done in a transaction give rollback statement. Rollback restore the state of
the database to the last commit point.
Example :
delete from emp;

rollback; /* undo the changes */
SAVEPOINT
Specify a point in a transaction to which later you can roll back.
Example
insert into emp (empno,ename,sal) values (109,’Sami’,3000);
savepoint a;
insert into dept values (10,’Sales’,’Hyd’);
savepoint b;
insert into salgrade values (‘III’,9000,12000);
Now if you give
rollback to a;
Then row from salgrade table and dept will be roll backed. Now you can commit the row inserted
into emp table or rollback the transaction.
If you give
rollback to b;
Then row inserted into salgrade table will be roll backed. Now you can commit the row inserted
into dept table and emp table or rollback to savepoint a or completely roll backed the transaction.
If you give
rollback;
Then the whole transactions is roll backed.
If you give
commit;
Then the whole transaction is committed and all savepoints are removed.
Data Control Language (DCL)
DCL commands are used to enforce database security in a multiple user database environment.
Two types of DCL commands are GRANT and REVOKE. Only Database Administrator's or
owner's of the database object can provide/remove privileges on a database object.
SQL GRANT Command
 SQL GRANT is a command used to provide access or privileges on the database objects to
the users.
GRANT privilege_name
ON object_name
TO {user_name |PUBLIC |role_name}
[WITH GRANT OPTION];
privilege_name is the access right or privilege granted to the user. Some of the access rights are
ALL, EXECUTE, and SELECT.

object_name is the name of an database object like TABLE, VIEW, STORED PROC and
SEQUENCE.
user_name is the name of the user to whom an access right is being granted.
user_name is the name of the user to whom an access right is being granted.
PUBLIC is used to grant access rights to all users.
ROLES are a set of privileges grouped together.
WITH GRANT OPTION - allows a user to grant access rights to other users.
For Example: GRANT SELECT ON employee TO user1; This command grants a SELECT
permission on employee table to user1.You should use the WITH GRANT option carefully because
for example if you GRANT SELECT privilege on employee table to user1 using the WITH
GRANT option, then user1 can GRANT SELECT privilege on employee table to another user,
such as user2 etc. Later, if you REVOKE the SELECT privilege on employee from user1, still
user2 will have SELECT privilege on employee table.
SQL REVOKE Command
The REVOKE command removes user access rights or privileges to the database objects.
The Syntax for the REVOKE command is:
REVOKE privilege_name
ON object_name
FROM {user_name |PUBLIC |role_name}
For Example: REVOKE SELECT ON employee FROM user1;This command will REVOKE a
SELECT privilege on employee table from user1.When you REVOKE SELECT privilege on a
table from a user, the user will not be able to SELECT data from that table anymore. However, if
the user has received SELECT privileges on that table from more than one users, he/she can
SELECT from that table until everyone who granted the permission revokes it. You cannot
REVOKE privileges if they were not initially granted by you.
 Privileges and Roles:
Privileges: Privileges defines the access rights provided to a user on a database object.
There are two types of privileges.
1) System privileges - This allows the user to CREATE, ALTER, or DROP database objects.
2) Object privileges - This allows the user to EXECUTE, SELECT, INSERT, UPDATE, or
DELETE data from database objects to which the privileges apply.
Operators
An operator is a reserved word or a character used primarily in an SQL statement's WHERE
clause to perform operation(s), such as comparisons and arithmetic operations.
Operators are used to specify conditions in an SQL statement and to serve as conjunctions
for multiple conditions in a statement.
 Arithmetic operators (+, -, * ,/ and %)
 Comparison operators (=, <, >, <>, !=, >=, <=, !> and !<)

 Logical operators (ALL, AND, OR, ANY, BETWEEN, EXISTS, IN, LIKE,
NOT, OR, IS NULL and UNIQUE)
 Operators used to negate conditions.
LIKE Clause
The SQL LIKE clause is used to compare a value to similar values using wildcard
operators. There are two wildcards used in conjunction with the LIKE operator:
 The percent sign (%)
 The underscore (_)
Note:- The percent sign(%) represents zero, one, or multiple characters. The underscore (_)
represents a single number or character. The symbols can be used in combinations.
Syntax
SELECT FROM table_name WHERE column LIKE 'XXXX%‘
SELECT FROM table_name WHERE column LIKE '%XXXX%‘
SELECT FROM table_name WHERE column LIKE 'XXXX_‘
SELECT FROM table_name WHERE column LIKE '_XXXX’
SELECT FROM table_name WHERE column LIKE '_XXXX_’
Alias Names:
 You can rename a table or a column temporarily by giving another name known as alias.
 The use of table aliases means to rename a table in a particular SQL statement. The
renaming is a temporary change and the actual table name does not change in the database.
 The column aliases are used to rename a table's columns for the purpose of a particular SQL
query.
Syntax for table alias
SELECT column1, column2....
FROM table_name AS alias_name
WHERE [condition];
Example
SELECT ename, sal, job,dname
FROM emp e, dept d
WHERE e.deptno = d.deptno
Syntax for column alias
SELECT column_name AS alias_name
FROM table_name WHERE [condition];

Example
SELECT ename AS employee_name
FROM emp WHERE deptno = 10;
IN Operator
The IN operator allows you to specify multiple values in a WHERE clause.
Syntax
SELECT column_name(s)
FROM table_name
WHERE column_name IN(value1,value2,...);
Example
SELECT ename
FROM emp WHERE deptno in (10,20);
IS Operator
IS operator will handle the NULL and NOT NULL Conditions
Syntax
FROM table_name
WHERE column_name IS(NULL or NOT NULL);
Example
SELECT ename
FROM emp WHERE comm IS NULL;
Group By
 The SQL GROUP BY clause is used in collaboration with the SELECT statement to
arrange identical data into groups.
 The GROUP BY clause follows the WHERE clause in a SELECT statement and precedes
the ORDER BY clause.
Syntax
The basic syntax of GROUP BY clause is given below. The GROUP BY clause must follow the
conditions in the WHERE clause and must precede the ORDER BY clause if one is used.
SELECT column1, column2 FROM table_name WHERE [ conditions ]
GROUP BY column1, column2
ORDER BY column1, column2
Example
SELECT ename, SUM(sal) FROM employee
GROUP BY ename;

Order By
The SQL ORDER BY clause is used to sort the data in ascending or descending order, based on
one or more columns. Some database sorts query results in ascending order by default.
Syntax:
SELECT column-list
FROM table_name
[WHERE condition]
[ORDER BY column1, column2, .. columnN] [ASC | DESC];
Example
SELECT * FROM employee ORDER BY name, salaray;
Having CLAUSE
 The HAVING clause enables you to specify conditions that filter which group results
appear in the final results.
 The WHERE clause places conditions on the selected columns, whereas the HAVING
clause places conditions on groups created by the GROUP BY clause.
Syntax
SELECT column1, column2
FROM table1, table2
WHERE [ conditions ]
GROUP BY column1, column2
HAVING [ conditions ]
ORDER BY column1, column2
Example
Following is the example, which would display record for which similar age count would be more
than or equal to 2:
SELECT ID, NAME, AGE, ADDRESS, SALARY FROM CUSTOMERS GROUP BY age
HAVING COUNT(age) >= 2;
UNION and UNION ALL
UNION CLAUSE
 The SQL UNION clause/operator is used to combine the results of two or more SELECT
statements without returning any duplicate rows.
 To use UNION, each SELECT must have the same number of columns selected, the same
number of column expressions, the same data type, and have them in the same order, but
they do not have to be the same length.
Syntax

SELECT column1 [, column2 ]
FROM table1 [, table2 ]
[WHERE condition]
UNION
[WHERE condition]
Example
SELECT empid,ename,job,sal
FROM emp
UNION
SELECT id,name,job,sal
FROM employee
UNION ALL CLAUSE
 The UNION ALL operator is used to combine the results of two SELECT statements
including duplicate rows.
 The same rules that apply to UNION apply to the UNION ALL operator.
Syntax
[WHERE condition]
UNION ALL
[WHERE condition]
Example
SELECT empid,ename,job,sal
FROM emp
UNION ALL
SELECT id,name,job,sal
FROM employee
Functions

SQL functions are built into Oracle Database and are available for use in various
appropriate SQL statements. Do not confuse SQL functions with user-defined functions written in
PL/SQL.
Single Row Functions
Numerical Function :- Numeric functions accept numeric input and return numeric values.
Most numeric functions that return NUMBER values that are accurate to 38 decimal digits.
1. ABS(n) :- ABS returns the absolute value of n.
Eg:- SELECT abs(-15) FROM DUAL; o/p= 15
2. CEIL(n) :- CEIL returns smallest integer greater than or equal to n.
Eg:- SELECT ceil(15356.987) FROM DUAL; o/p= 15357
3. FLOOR(n) :- FLOOR returns largest integer equal to or less than n.
Eg:- SELECT floor(15356.987) FROM DUAL; o/p= 15356
4. MOD(n2,n1) :- MOD returns the remainder of n2 divided by n1. Returns n2 if n1 is 0.
Eg:- SELECT mod(11,3) FROM DUAL; o/p= 4
5. POWER(n2,n1) :- POWER returns n2 raised to the n1 power. The base n2 and the
exponent n1 can be any numbers, but if n2 is negative, then n1 must be an integer.
Eg:- SELECT mod(3,4) FROM DUAL; o/p= 81

6. ROUND (n,integer) :- ROUND returns n rounded to integer places to the right of the
decimal point. If you omit integer, then n is rounded to 0 places. The argument integer can
be negative to round off digits left of the decimal point.
Eg:- SELECT ROUND(15.193,1) "Round" FROM DUAL; o/p= 15.2
Eg:- SELECT ROUND(15.193,-1) "Round" FROM DUAL; o/p= 20
Eg:- SELECT ROUND(1.5) FROM DUAL; o/p= 2
7. SIGN(n):- SIGN returns the sign of n. This function takes as an argument any numeric
datatype, or any nonnumeric datatype that can be implicitly converted to NUMBER, and
returns NUMBER. For value of NUMBER type, the sign is:
-1 if n<0
0 if n=0
1 if n>0
Eg:- SELECT SIGN(-15) "Sign" FROM DUAL; o/p= -1
String or Character Function Returning Char/String Values :- Character functions
that return character values return values of the following datatypes unless otherwise documented:
If the input argument is CHAR or VARCHAR2, then the value returned is VARCHAR2.
1. CHR(n,NCHAR_CS) :- CHR returns the character having the binary equivalent to n as
a VARCHAR2 value in either the database character set or, if you
specify USING NCHAR_CS, the national character set.
Eg:- SELECT CHR(65) FROM DUAL; o/p:- A
Eg1:- SELECT CHR (196 USING NCHAR_CS) FROM DUAL; o/p:- A
2. CONCAT(char1,char2) :- CONCAT returns char1 concatenated with char2.
Both char1 and char2 can be any of the
datatypes CHAR, VARCHAR2, NCHAR, NVARCHAR2, CLOB, or NCLOB.
Eg:- SELECT CONCAT('AB','CD') FROM DUAL; o/p:- ABCD
3. INITCAP(char):- INITCAP returns char, with the first letter of each word in uppercase, all
other letters in lowercase. Words are delimited by white space or characters that are not
alphanumeric.
Eg:- SELECT initcap('tHe housE') FROM DUAL; o/p:- The House
4. LOWER(char):- LOWER returns char, with all letters lowercase. char can be any of the
datatypes CHAR, VARCHAR2, NCHAR, NVARCHAR2, CLOB, or NCLOB. The return
value is the same datatype as char.
Eg:- SELECT lower('tHe housE') FROM DUAL; o/p:- the house
5. UPPER(char):- UPPER returns char, with all letters uppercase. char can be any of the
datatypes CHAR, VARCHAR2, NCHAR, NVARCHAR2, CLOB, or NCLOB. The return
value is the same datatype as char.
Eg:- SELECT upper('tHe housE') FROM DUAL; o/p:- THE HOUSE

6. LPAD(expr1,n,expr2):- LPAD returns expr1, left-padded to length n characters with the
sequence of characters in expr2. This function is useful for formatting the output of a query.
Eg:- SELECT LPAD('Page 1',13,'*.') "LPAD example" FROM DUAL; o/p:- *.*.*.*Page 1
7. RPAD(expr1,n,expr2):- RPAD returns expr1, right-padded to length n characters
with expr2, replicated as many times as necessary. This function is useful for formatting the
output of a query.
Eg:- SELECT RPAD('Page 1',15,'*.') "LPAD example" FROM DUAL;
o/p:- Page 1*.*.*.*.*
8. LTRIM(char, set):- LTRIM removes from the left end of char all of the characters
contained in set. If you do not specify set, it defaults to a single blank. If char is a character
literal, then you must enclose it in single quotes. Oracle Database begins
scanning char from its first character and removes all characters that appear in setuntil
reaching a character not in set and then returns the result.
Eg:- SELECT ltrim('xyzabc','xyz') FROM DUAL; o/p:- abc
9. RTRIM(char, set):- RTRIM removes from the right end of char all of the characters that
appear in set. This function is useful for formatting the output of a query. If you do not
specify set, then it defaults to a single blank. If char is a character literal, then you must
enclose it in single quotes. RTRIM works similarly to LTRIM.
Eg:- SELECT rtrim('xyzabc',‘abc') FROM DUAL; o/p:- xyz
10. TRIM(char):- TRIM removes from both sides (left and right)
Eg:- SELECT trim(' xyzabcxyz ') FROM DUAL; o/p:- xyzabcxyz
11. SOUNDEX(char):-SOUNDEX returns a character string containing the phonetic
representation of char. This function lets you compare words that are spelled differently, but
sound alike in English.
Eg:- SELECT soundex('SMYTHE') FROM DUAL; o/p:- S530
12. SUBSTR(char,position,substring_length):- The SUBSTR functions return a portion
of char, beginning at character position, substring_length characters
long. SUBSTR calculates lengths using characters as defined by the input character set.
If position is 0, then it is treated as 1.
Eg:- SELECT SUBSTR('ABCDEFG',3,4) "Substring" FROM DUAL; o/p:- CDEF
Eg:- SELECT SUBSTR('ABCDEFG',-5,4) "Substring" FROM DUAL; o/p:- CDEF
13. TRANSLATE(expr, from_string, to_string):- TRANSLATE function replaces a
sequence of characters in a string with another set of characters. However, it replaces a
single character at a time. For example, it will replace the 1st character in
the string_to_replace with the 1st character in the replacement_string. Then it will replace
the 2nd character in the string_to_replace with the 2nd character in the replacement_string,
and so on.
Stntax:- TRANSLATE( string1, string_to_replace, replacement_string )
PARAMETERS OR ARGUMENTS
 string1 is the string to replace a sequence of characters with another
set of characters.
 string_to_replace is the string that will be searched for in string1.

 replacement_string - All characters in the string_to_replace will be
replaced with the corresponding character in the replacement_string.
Eg:- select TRANSLATE('1tech23', '123', '456') from dual o/p:- 4tech56
Eg:- select TRANSLATE('1tech23', '123', '456') from dual o/p:- 4tech53
14. REPLACE(char, search_string, replacement_string) :- REPLACE returns char with
every occurrence of search_string replaced with replacement_string.
If replacement_string is omitted or null, then all occurrences of search_string are removed.
If search_string is null, then char is returned.
Eg:- SELECT REPLACE('JACK and JUE','J','BL') "Changes" FROM DUAL;
o/p:- BLACK and BLUE
String or Character Function Returning Number Values :-
1. ASCII(char) :- ASCII returns the decimal representation in the database character set of
the first character of char.
Eg:- SELECT ASCII('r') from dual o/p:- 114
2. LENGTH(char):-The LENGTH functions return the length of char.
Eg:-SELECT length(‘sai') from dual o/p:-3
3. INSTR(string, substring, position, occurrence) :- The INSTR functions
search string for substring. The function returns an integer indicating the position of the
character in string that is the first character of this occurrence. INSTR calculates strings
using characters as defined by the input character set.
Eg:- SELECT INSTR('CORPORATE FLOOR','OR', 3, 2) "Instring" FROM DUAL;
o/p:-14
Eg:- SELECT INSTR('CORPORATE FLOOR','OR', -3, 2) "Reversed Instring" FROM
DUAL; o/p:-2
Date Functions :-
Datetime functions operate on date (DATE), timestamp
(TIMESTAMP, TIMESTAMP WITH TIME ZONE,
and TIMESTAMP WITH LOCAL TIME ZONE ). Some of the datetime functions were designed
for the Oracle DATE datatype (ADD_MONTHS, CURRENT_DATE, LAST_DAY, NEW_TIME,
and NEXT_DAY). If you provide a timestamp value as their argument, Oracle Database internally
converts the input type to a DATE value and returns a DATE value.
1. CURRENT_DATE :- CURRENT_DATE returns the current date in the session time zone,
in a value in the Gregorian calendar of datatype DATE.
Eg:- SELECT SESSIONTIMEZONE, CURRENT_DATE FROM DUAL;
2. SYSDATE:- SYSDATE returns the current date and time set for the operating system on
which the database resides. The datatype of the returned value is DATE, and the format
returned depends on the value of the NLS_DATE_FORMAT initialization parameter.
Eg:- SELECT TO_CHAR (SYSDATE, 'MM-DD-YYYY HH24:MI:SS') "NOW" FROM
DUAL; o/p :- 04-13-2001 09:45:51

3. LAST_DAY(date):- LAST_DAY returns the date of the last day of the month that
contains date. The return type is always DATE, regardless of the datatype of date.
Eg:- SELECT LAST_DAY(SYSDATE) FROM DUAL; o/p :- 31-JUL-2014
4. NEXT_DAY(date,char):- NEXT_DAY returns the date of the first weekday named
by char that is later than the date date. The return type is always DATE, regardless of the
datatype ofdate. The argument char must be a day of the week in the date language of your
session, either the full name or the abbreviation.
Eg:- SELECT NEXT_DAY('02-FEB-2001','TUESDAY') "NEXT DAY" FROM DUAL;
5. MONTHS_BETWEEN(date1,date2):- MONTHS_BETWEEN returns number of months
between dates date1 and date2. If date1 is later than date2, then the result is positive.
If date1 is earlier thandate2, then the result is negative. If date1 and date2 are either the
same days of the month or both last days of months, then the result is always an integer.
Otherwise Oracle Database calculates the fractional portion of the result based on a 31-day
month and considers the difference in time components date1 anddate2.
Eg:- SELECT MONTHS_BETWEEN (TO_DATE('02-02-1995','MM-DD-YYYY'),
TO_DATE('01-01-1995','MM-DD-YYYY') ) "Months" FROM DUAL; o/p :- 1.03225806
6. ADD_MONTHS(date,integer) :- ADD_MONTHS returns the
date date plus integer months. The date argument can be a datetime value or any value that
can be implicitly converted to DATE. The integer argument can be an integer or any value
that can be implicitly converted to an integer. The return type is always DATE, regardless
of the datatype of date.
Eg:- SELECT ADD_MONTHS ('16-Sep-81', 3) FROM dual o/p :- 16-Dec-81
Aggregate Functions :- (AVG,COUNT, FIRST, LAST, MAX, MIN, COUNT(*), SUM)
Aggregate functions return a single result row based on groups of rows, rather than on
single rows. Aggregate functions can appear in select lists and in
ORDER BY and HAVING clauses. They are commonly used with the GROUP BY clause in
a SELECT statement, where Oracle Database divides the rows of a queried table or view into
groups.
Conversion Functions :- (TO_CHAR, TO_DATE, TO_NUMBER)
Conversion functions convert a value from one datatype to another. Generally, the form of
the function names follows the convention datatype TO datatype. The first datatype is the input
datatype. The second datatype is the output datatype.
1. TO_CHAR(x [,y]) :- Converts Numeric and Date values to a character string value. It
cannot be used for calculations since it is a string value.
Eg:- SELECT TO_CHAR (3000, '$9999') FROM dual; o/p:- $3000
Eg:- SELECT TO_CHAR (SYSDATE, 'Day, Month YYYY') FROM dual o/p:- Thursday,
July,2014
2. TO_DATE (x [, date_format]) :- Converts a valid Numeric and Character values to a Date
value. Date is formatted to the format specified by 'date_format'.
Eg:- Convert A String With Default Format To A Date
SELECT to_date('01-JAN-2014') FROM dual; o/p:- 1/1/2014

Eg:- Convert A String With A Non-Default Format To A Date
SELECT to_date('01/01/2014','mm/dd/yyyy') FROM dual o/p:- 1/1/2014
3. TO_NUMBER :- Converts a string to the NUMBER data type
CREATE TABLE test (testcol VARCHAR2(10));
INSERT INTO test values(‘245670.10’);
SELECT TO_NUMBER(testcol)/5 from dual; o/p:- 49134.02
NULL Functions :- (NVL, NVL2,NULLIF)
1. NVL ( string1, replace_with ) :- This function lets you substitute a value when a null value
is encountered.
Syntax :- NVL( string1, replace_with )
PARAMETERS OR ARGUMENTS
 string1 is the string to test for a null value.
 replace_with is the value returned if string1 is null.
Eg:- SELECT NVL(COMM,10) FROM EMP;
2. NVL2(expr1,expr2,expr3):- NVL2 lets you determine the value returned by a query based
on whether a specified expression is null or not null. If expr1 is not null, then NVL2 returns
expr2. If expr1 is null, then NVL2 returns expr3. The argument expr1 can have any
datatype. The arguments expr2 and expr3 can have any datatypes except LONG.
Eg:- SELECT NVL2(comm,sal+comm,sal) FROM dual;
3. NULLIF(expr1,expr2):- NULLIF compares expr1 and expr2. If they are equal, then the
function returns null. If they are not equal, then the function returns expr1. You cannot
specify the literal NULL for expr1.
The NULLIF function is logically equivalent to the following CASE expression:
CASE WHEN expr1 = expr 2 THEN NULL ELSE expr1 END
Eg:- SELECT NULLIF(sal+nvl(comm,0),sal) FROM dual;
SubQuery
 Subquery or Inner query or Nested query is a query in a query. SQL subquery is usually
added in the WHERE Clause of the SQL statement. Most of the time, a subquery is used
when you know how to search for a value using a SELECT statement, but do not know the
exact value in the database.
 Subqueries are an alternate way of returning data from multiple tables.
 Subqueries can be used with the following SQL statements along with the comparison
operators like =, <, >, >=, <= etc.
Eg:- SELECT * FROM emp WHERE deptno in (SELECT deptno FROM dept)
Correlated Subquery
A query is called correlated subquery when both the inner query and the outer query are
interdependent. For every row processed by the inner query, the outer query is processed as well.
The inner query depends on the outer query before it can be processed.

Eg:- SELECT * FROM emp e WHERE deptno in (SELECT deptno d FROM dept d WHERE
e.deptno = d.deptno)
Subquery Notes
Nested Subquery
You can nest as many queries you want but it is recommended not to nest more than 16
subqueries in oracle
Non-Corelated Subquery
If a subquery is not dependent on the outer query it is called a non-correlated subquery
Subquery Errors
Minimize subquery errors: Use drag and drop, copy and paste to avoid running subqueries
with spelling and database typos. Watch your multiple field SELECT comma use, extra or to few
getting SQL error message "Incorrect syntax".
Joins
SQL Joins are used to relate information in different tables. A Join condition is a part of the
sql query that retrieves rows from two or more tables. A SQL Join condition is used in the SQL
WHERE Clause of select, update, delete statements.
The Syntax for joining two tables is:
SELECT col1, col2, col3...
FROM table_name1, table_name2
WHERE table_name1.col2 = table_name2.col1;
If a sql join condition is omitted or if it is invalid the join operation will result in a Cartesian
product. The Cartesian product returns a number of rows equal to the product of all rows in all the
tables being joined. For example, if the first table has 20 rows and the second table has 10 rows, the
result will be 20 * 10, or 200 rows. This query takes a long time to execute.
Lets use the below two tables to explain the sql join conditions.
database table "product";
product_id product_name supplier_name unit_price
100 Camera Nikon 300
101 Television Onida 100
102 Refrigerator Vediocon 150
103 Ipod Apple 75
104 Mobile Nokia 50

database table "order_items";
order_id product_id total_units customer
5100 104 30 Infosys
5101 102 5 Satyam
5102 103 25 Wipro
5103 101 10 TCS
SQL Joins can be classified into Equi join and Non Equi join.
1) SQL Equi joins
It is a simple sql join condition which uses the equal sign as the comparison operator. Two
types of equi joins are SQL Outer join and SQL Inner join.
For example: You can get the information about a customer who purchased a product and the
quantity of product.
2) SQL Non equi joins
It is a sql join condition which makes use of some comparison operator other than the equal
sign like >, <, >=, <=
1) SQL Equi Joins:
An equi-join is further classified into two categories:
a) SQL Inner Join
b) SQL Outer Join
a) SQL Inner Join:
All the rows returned by the sql query satisfy the sql join condition specified.
For example: If you want to display the product information for each order the query will be as
given below. Since you are retrieving the data from two tables, you need to identify the common
column between these two tables, which is theproduct_id.
The query for this type of sql joins would be like,
SELECT order_id, product_name, unit_price, supplier_name, total_units
FROM product, order_items
WHERE order_items.product_id = product.product_id;
Note:- The number of join conditions is (n-1), if there are more than two tables joined in a query
where 'n' is the number of tables involved. The rule must be true to avoid Cartesian product.
We can also use aliases to reference the column name, then the above query would be like,
SELECT o.order_id, p.product_name, p.unit_price, p.supplier_name, o.total_units
FROM product p, order_items o
WHERE o.product_id = p.product_id;
b) SQL Outer Join:

This sql join condition returns all rows from both tables which satisfy the join condition along with
rows which do not satisfy the join condition from one of the tables. The sql outer join operator in
Oracle is ( + ) and is used on one side of the join condition only.
The syntax differs for different RDBMS implementation. Few of them represent the join conditions
as "sql left outer join", "sql right outer join".
If you want to display all the product data along with order items data, with null values displayed
for order items if a product has no order item, the sql query for outer join would be as shown
below:
SELECT p.product_id, p.product_name, o.order_id, o.total_units
FROM order_items o, product p
WHERE o.product_id (+) = p.product_id;
product_id product_name order_id total_units
------------- ------------- ------------- -------------
100 Camera
101 Television 5103 10
102 Refrigerator 5101 5
103 Ipod 5102 25
104 Mobile 5100 30
NOTE:If the (+) operator is used in the left side of the join condition it is equivalent to left outer
join. If used on the right side of the join condition it is equivalent to right outer join.
SQL Self Join:
A Self Join is a type of sql join which is used to join a table to itself, particularly when the
table has a FOREIGN KEY that references its own PRIMARY KEY. It is necessary to ensure that
the join statement defines an alias for both copies of the table to avoid column ambiguity.
The below query is an example of a self join,
SELECT a.sales_person_id, a.name, a.manager_id, b.sales_person_id, b.name
FROM sales_person a, sales_person b
WHERE a.manager_id = b.sales_person_id;
2) SQL Non Equi Join:
A Non Equi Join is a SQL Join whose condition is established using all comparison
operators except the equal (=) operator. Like >=, <=, <, >
For example: If you want to find the names of students who are not studying either Economics, the
sql query would be like, (lets use student_details table defined earlier.)
SELECT first_name, last_name, subject
FROM student_details
WHERE subject != 'Economics‘
The output would be something like,

first_name last_name subject
------------- ------------- -------------
Anajali Bhagwat Maths
Shekar Gowda Maths
Rahul Sharma Science
Stephen Fleming Science
Views
View :- A VIEW is a virtual table, through which a selective portion of the data from one or more
tables can be seen. A view is stored as a SELECT statement in the database. DML operations on a
view like INSERT, UPDATE, DELETE affects the data in the original table upon which the view
is based.
Syntax
CREATE VIEW view_name
AS
SELECT column_list
FROM table_name [WHERE condition];
Example:
CREATE VIEW view_product
AS
SELECT product_id, product_name
FROM product;
The WITH CHECK OPTION:
The WITH CHECK OPTION is a CREATE VIEW statement option. The purpose of the
WITH CHECK OPTION is to ensure that all UPDATE and INSERTs satisfy the condition(s) in the
view .If they do not satisfy the condition(s), the UPDATE or INSERT returns an error.
Example:
CREATE VIEW customers_view AS SELECT name, age FROM customers WHERE age IS NOT
NULL WITH CHECK OPTION;
Drop SQL VIEW:
Syntax: DROP VIEW view_name;
Types of Views
 Inline View :
An inline view is a statement in the FROM-clause of another SELECT statement. In-line
views are commonly used simplify complex queries by removing join operations and condensing
several separate queries into a single query
 Eg: select max(age) from ( -- this part of the query is an inline view: select age from table )
 Materialized Views:

A Materialized View is effectively a database table that contains the results of a query.
Data in materialized views must be refreshed to keep it synchronized with its base table. Refreshing
can either be done manually, as below, or automatically by Oracle in some cases.
 Eg: create materialized view mv as select * from t ;
 Eg: to refresh view -- execute dbms_mview.refresh( 'MV' );
 Force View:
To create view even if the table does not exist. After creating a force view, if we create table and
insert data. The view will automatically updated.
Syntax:
CREATE or REPLACE force view view_name AS
FROM table_name
WHERE condition
Sequence: A sequence is a database item that generates a sequence of integers.
Syntax:
CREATE SEQUENCE sequence_name
[START WITH start_num]
[INCREMENT BY increment_num]
[ { MAXVALUE maximum_num | NOMAXVALUE } ]
[ { MINVALUE minimum_num | NOMINVALUE } ]
[ { CYCLE | NOCYCLE } ]
[ { CACHE cache_num | NOCACHE } ]
[ { ORDER | NOORDER } ];
Example:
CREATE SEQUENCE seq_person
MINVALUE 1
START WITH 1
INCREMENT BY 1
CACHE 10
Sequence used in SQL statements.
Examples:
 select seq_person.NEXTVAL from DUAL;
 SELECT seq_person.CURRVAL FROM DUAL;
DROP Sequence
 drop sequence seq_person;
Indexes
 Indexes are special lookup tables that the database search engine can use to speed up data
retrieval.
 Index in sql is created on existing tables. Indexes can be created on a single column or a
group of columns.

Syntax:
CREATE INDEX index_name
ON table_name (column_name1,column_name2...);
Example:
CREATE INDEX PIndex
ON Persons (LastName)
We can create Unique index to avoid duplicates.
CREATE UNIQUE INDEX index_name ON table_name (column_name)
Types of Indexes:
1. Implicit Indexes: They are created when a column is explicity defined with PRIMARY
KEY, UNIQUE KEY Constraint.
2.Explicit Indexes: They are created using the "create index.. " syntax.
ALTER/RENAME INDEX:
Syntax: ALTER INDEX index_name RENAME TO new_index_name;
DROP INDEX:
Syntax: DROP INDEX index_name;
SYNONYMS
 A synonym is an alternative name for objects such as tables, views, sequences, stored
procedures, and other database objects.
 You generally use synonyms when you are granting access to an object from another
schema
Create Synonym:
Syntax:
CREATE [ OR REPLACE ] [ PUBLIC ] SYNONYM
[ schema. ]synonym
FOR [ schema. ]object [ @ dblink ] ;
Example:
CREATE PUBLIC SYNONYM suppliers FOR app.suppliers;
Drop synonym:
Once a synonym has been created in Oracle, you might at some point need to drop the
synonym.
Syntax:
DROP [PUBLIC] SYNONYM [schema .] synonym_name [force];

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