Data Definition Language: Data definition language is (DDL) is used to create, update and destroy database, database objects and structure or schema . These commands primarily used by the database administrator.
Commands of the DDL are CREATE, ALTER, DROP the table.
Data Manipulation Language: Data manipulation language is used to insert, delete and update the data in data base. This is the second label SQL command language.
Command under the DML are INSER, UPDATE, and DELETE the data.
Data Query Language: Data query language is used to retrieve the data from different tables of data base.
SELECT is the command of the DQL.
Data Control Language: Data control language is used to control access to the data in a data base.
Commands of the DCL are GRANT, REWOKE.
Transaction Control Language: Transaction Control (TCL) statements are used to manage the changes made by DML statements. It allows statements to be grouped together into logical transactions.
COMMIT, SAVEPOINT, ROLLBACK, SET TRANSECTION are the commands of TCL.
EMP_Join
SN | F_Name | L_Name | DateOfBirth | DateOfJoinee | Emp_ID |
1 | Narayan | Singh | 02/11/84 | 04/01/08 | 1001 |
2 | Vedu | Gopal | 09/02/80 | 12/01/09 | 1002 |
3 | Meera | Nayar | 03/10/79 | 05/01/09 | 1003 |
4 | Ali | Ahamad | 08/28/85 | 09/01/10 | 1004 |
5 | Usni | Mubarak | 03/25/74 | 02/02/09 | 1005 |
EMP_Address
Emp_ID | Address | City | State | Contact_Number |
1001 | HN 22, Near badh ghar | Tiruantpuram, | Kerala | 55555555 |
1002 | 133, home sweet | Jaipur | Rajasthan | 1111111111 |
1003 | 9/122 Hello colony | Bhiwani | Haryana | 333333333 |
1004 | Ram colony | Lucknow | Uttar Pradesh | 888888888 |
1005 | New defense, colony | Allahabad | Uttar Pradesh | 555555555 |
EMP_ProjectDetails
EMP_ID | Project_ID | Project_Neme |
1001 | X001 | Google |
1002 | X002 | Yahoo |
1003 | X003 | Facebook |
1004 | X004 | iPhone |
1005 | X005 | ibibo |
EMP_SalaryDetail
Project_ID | Basic | TA | DA | PF | TDS |
X001 | 20000 | 10000 | 1500 | 100 | 500 |
X002 | 15000 | 10000 | 1090 | 520 | 500 |
X003 | 35000 | 1000 | 10050 | 230 | 500 |
X004 | 8000 | 1500 | 10045 | 400 | 500 |
X005 | 250000 | 1250 | 100 | 1000 | 500 |
Note: SQL is not case sensitive. SELECT is the same as select.
DDL:
- CREATE - to create objects in the database
- ALTER - alters the structure of the database
- DROP - delete objects from the database
- TRUNCATE - remove all records from a table, including all spaces allocated for the records are removed
- COMMENT - add comments to the data dictionary
- RENAME - rename an object
DML:
- INSERT - insert data into a table
- UPDATE - updates existing data within a table
- DELETE - deletes all records from a table, the space for the records remain
- MERGE - UPSERT operation (insert or update)
- CALL - call a PL/SQL or Java subprogram
- EXPLAIN PLAN - explain access path to data
- LOCK TABLE - control concurrency
DQL:
- SELECT - retrieve data from the a database
DCL:
- GRANT - gives user's access privileges to database
- REVOKE - withdraw access privileges given with the GRANT command
TCL:
- COMMIT - save work done
- SAVEPOINT - identify a point in a transaction to which you can later roll back
- ROLLBACK - restore database to original since the last COMMIT
- SET TRANSACTION - Change transaction options like isolation level and what rollback segment to use
CREATE table EMP_Join (SN number(3) NOT NULL, F_name varchar(20), L_name varchar(20), DateOfBirth DATE, DateOfJoinee DATE);
Output:
EMP_Join
SN | F_Name | L_Name | DateOfBirth | DateOfJoinee |
ALTER TABLE EMP_Join ADD emp_id int NOT NULL AUTO_INCREMENT PRIMARY KEY;
output:
EMP_Join
SN | F_Name | L_Name | DateOfBirth | DateOfJoinee | Emp_ID |
ALTER TABLE EMP_Join DROP COLUMN Emp_ID;
output:
EMP_Join
SN | F_Name | L_Name | DateOfBirth | DateOfJoinee |
TRUNKATE TABLE EMP_Join;
Output:
SN | F_Name | L_Name | DateOfBirth | DateOfJoinee | Emp_ID |
INSERT INTO EMP_Join (SN, F_Name, L_Name, DateOfBirth, DateOfJoinee, Emp_ID) VALUES (1, 'Narayan', 'Singh', '02/11/84', '04/01/08', 1001);
or
INSERT INTO EMP_Join VALUES (1, 'Narayan', 'Singh', '02/11/84', '04/01/08', 1001);
Output:
SN | F_Name | L_Name | DateOfBirth | DateOfJoinee | Emp_ID |
1 | Narayan | Singh | 02/11/84 | 04/01/08 | 1001 |
UPDATE EMP_Join SET L_Name='Sharma' WHERE SN=1;
Output:
SN | F_Name | L_Name | DateOfBirth | DateOfJoinee | Emp_ID |
1 | Narayan | Sharma | 02/11/84 | 04/01/08 | 1001 |
DELETE FROM EMP_Join WHERE Emp_ID=1001 AND Emp_ID=1003;
Output:
SN | F_Name | L_Name | DateOfBirth | DateOfJoinee | Emp_ID |
2 | Vedu | Gopal | 09/02/80 | 12/01/09 | 1002 |
4 | Ali | Ahamad | 08/28/85 | 09/01/10 | 1004 |
5 | Usni | Mubarak | 03/25/74 | 02/02/09 | 1005 |
DQL:
Table 1.1 EMP_Join
SN | F_Name | L_Name | DateOfBirth | DateOfJoinee | Emp_ID |
1 | Narayan | Singh | 02/11/84 | 04/01/08 | 1001 |
2 | Vedu | Gopal | 09/02/80 | 12/01/09 | 1002 |
3 | Meera | Nayar | 03/10/79 | 05/01/09 | 1003 |
4 | Ali | Ahamad | 08/28/85 | 09/01/10 | 1004 |
5 | Usni | Mubarak | 03/25/74 | 02/02/09 | 1005 |
Table 1.2 EMP_Address
Emp_ID | Address | City | State | Contact_Number |
1001 | HN 22, Near badh ghar | Tiruantpuram, | Kerala | 55555555 |
1002 | 133, home sweet | Jaipur | Rajasthan | 1111111111 |
1003 | 9/122 Hello colony | Bhiwani | Haryana | 333333333 |
1004 | Ram colony | Lucknow | Uttar Pradesh | 888888888 |
1005 | New defense, colony | Allahabad | Uttar Pradesh | 555555555 |
Table 1.3 EMP_ProjectDetails
EMP_ID | Project_ID | Project_Neme |
1001 | X001 | Google |
1002 | X002 | Yahoo |
1003 | X003 | Facebook |
1004 | X004 | iPhone |
1005 | X005 | ibibo |
Table 1.4 EMP_SalaryDetail
Project_ID | Basic | TA | DA | PF | TDS |
X001 | 20000 | 10000 | 1500 | 100 | 500 |
X002 | 15000 | 10000 | 1090 | 520 | 500 |
X003 | 35000 | 1000 | 10050 | 520 | 500 |
X004 | 8000 | 1500 | 10045 | 400 | 500 |
X005 | 250000 | 1250 | 100 | 1000 | 500 |
1. SELECT Statement:
The SELECT statement is used to select data from a database. The result is stored in a result table, called the result-set.Select (asterisk) means user want to select all the columns of the table.
Source table, EMP_Join
SN | F_Name | L_Name | DateOfBirth | DateOfJoinee | Emp_ID |
1 | Narayan | Singh | 02/11/84 | 04/01/08 | 1001 |
2 | Vedu | Gopal | 09/02/80 | 12/01/09 | 1002 |
3 | Meera | Nayar | 03/10/79 | 05/01/09 | 1003 |
4 | Ali | Ahamad | 08/28/85 | 09/01/10 | 1004 |
5 | Usni | Mubarak | 03/25/74 | 02/02/09 | 1005 |
SELECT * FROM EMP_Join;
The result set will be,
SN | F_Name | L_Name | DateOfBirth | DateOfJoinee | Emp_ID |
1 | Narayan | Singh | 02/11/84 | 04/01/08 | 1001 |
2 | Vedu | Gopal | 09/02/80 | 12/01/09 | 1002 |
3 | Meera | Nayar | 03/10/79 | 05/01/09 | 1003 |
4 | Ali | Ahamad | 08/28/85 | 09/01/10 | 1004 |
5 | Usni | Mubarak | 03/25/74 | 02/02/09 | 1005 |
2. SELECT DISTINCT Statement:
Distinct statement is used to ignore the duplicate data of column. It returns the different data in result set.
Source table, EMP_Address
Emp_ID | Address | City | State | Contact_Number |
1001 | HN 22, Near badh ghar | Tiruantpuram, | Kerala | 98555555 |
1002 | 133, home sweet | Jaipur | Rajasthan | 9911111111 |
1003 | 9/122 Hello colony | Bhiwani | Haryana | 733333333 |
1004 | Ram colony | Lucknow | Uttar Pradesh | 888888888 |
1005 | New defense, colony | Allahabad | Uttar Pradesh | 415555555 |
SELECT DISTINCT State FROM EMP_Address;
The result set will be
State |
Kerala |
Rajasthan |
Haryana |
Uttar Pradesh |
3. SQL WHERE Clause:
The WHERE clause is used to extract only those records that fulfill a specified condition.
Source table, EMP_Address
Emp_ID | Address | City | State | Contact_Number |
1001 | HN 22, Near badh ghar | Tiruantpuram, | Kerala | 98555555 |
1002 | 133, home sweet | Jaipur | Rajasthan | 9911111111 |
1003 | 9/122 Hello colony | Bhiwani | Haryana | 733333333 |
1004 | Ram colony | Lucknow | Uttar Pradesh | 888888888 |
1005 | New defense, colony | Allahabad | Uttar Pradesh | 415555555 |
SELECT Emp_ID, City FROM EMP_Address WHERE State=’Uttar Pradesh’;
The result set will be
Emp_ID | City |
1004 | Lucknow |
1005 | Allahabad |
4. The AND & OR Operators:
The AND operator displays a record if both the first condition and the second condition is true.The OR operator displays a record if either the first condition or the second condition is true.
Source table, EMP_SalaryDetails
Project_ID | Basic | TA | DA | PF | TDS |
X001 | 20000 | 10000 | 1500 | 100 | 500 |
X002 | 15000 | 10000 | 1090 | 520 | 500 |
X003 | 35000 | 1000 | 10050 | 520 | 500 |
X004 | 8000 | 1500 | 10045 | 400 | 500 |
X005 | 250000 | 1250 | 100 | 1000 | 500 |
SELECT Project_ID, Basic, TDS FROM EMP_SalaryDetails WHERE DA=1090 AND PF=520;
Project_ID | Basic | TDS |
X002 | 15000 | 500 |
Project_ID | Basic | TDS |
X001 | 20000 | 500 |
X002 | 15000 | 500 |
X003 | 35000 | 500 |
SELECT * FROM EMP_SalaryDetail WHERE PF=520 AND (20000 OR 35000);
Project_ID | Basic | TA | DA | PF | TDS |
X003 | 35000 | 1000 | 10050 | 520 | 500 |
5. The ORDER BY Keyword:
Ordered by keyword is used to retrieve the data in result set in a descending or ascending order, by default it fetch the data in ascending order.
Source table, EMP_SalaryDetails
Project_ID | Basic | TA | DA | PF | TDS |
X001 | 20000 | 10000 | 1500 | 100 | 500 |
X002 | 15000 | 10000 | 1090 | 520 | 500 |
X003 | 35000 | 1000 | 10050 | 520 | 500 |
X004 | 8000 | 1500 | 10045 | 400 | 500 |
X005 | 250000 | 1250 | 100 | 1000 | 500 |
SELECT * FROM EMP_SalaryDetails ORDER BY Basic;
Project_ID | Basic | TA | DA | PF | TDS |
X004 | 8000 | 1500 | 10045 | 400 | 500 |
X002 | 15000 | 10000 | 1090 | 520 | 500 |
X001 | 20000 | 10000 | 1500 | 100 | 500 |
X003 | 35000 | 1000 | 10050 | 520 | 500 |
X005 | 250000 | 1250 | 100 | 1000 | 500 |
SELECT * FROM EMP_SalaryDetails ORDER BY Basic DESC;
Project_ID | Basic | TA | DA | PF | TDS |
X005 | 250000 | 1250 | 100 | 1000 | 500 |
X003 | 35000 | 1000 | 10050 | 520 | 500 |
X001 | 20000 | 10000 | 1500 | 100 | 500 |
X002 | 15000 | 10000 | 1090 | 520 | 500 |
X004 | 8000 | 1500 | 10045 | 400 | 500 |
6. The LIKE Operator:
The LIKE operator is used to search for a specified pattern in a column.Source table, EMP_Join
SN | F_Name | L_Name | DateOfBirth | DateOfJoinee | Emp_ID |
1 | Narayan | Singh | 02/11/84 | 04/01/08 | 1001 |
2 | Vedu | Gopal | 09/02/80 | 12/01/09 | 1002 |
3 | Meera | Nayar | 03/10/79 | 05/01/09 | 1003 |
4 | Ali | Ahamad | 08/28/85 | 09/01/10 | 1004 |
5 | Usni | Mubarak | 03/25/74 | 02/02/09 | 1005 |
SELECT * FROM EMP_Join WHERE F_Name LIKE ‘N%’ OR L_Name LIKE ‘N%’;
SN | F_Name | L_Name | DateOfBirth | DateOfJoinee | Emp_ID |
1 | Narayan | Singh | 02/11/84 | 04/01/08 | 1001 |
3 | Meera | Nayar | 03/10/79 | 05/01/09 | 1003 |
SN | F_Name | L_Name | DateOfBirth | DateOfJoinee | Emp_ID |
1 | Narayan | Singh | 02/11/84 | 04/01/08 | 1001 |
2 | Vedu | Gopal | 09/02/80 | 12/01/09 | 1002 |
3 | Meera | Nayar | 03/10/79 | 05/01/09 | 1003 |
4 | Ali | Ahamad | 08/28/85 | 09/01/10 | 1004 |
7. SQL Wildcards:
SQL wildcards must be used with the SQL LIKE operator.
Wildcard | Description |
% | A substitute for zero or more characters |
_ | A substitute for exactly one character |
[charlist] | Any single character in charlist |
[^charlist] or [!charlist] | Any single character not in charlist |
Source table, EMP_Join
SN | F_Name | L_Name | DateOfBirth | DateOfJoinee | Emp_ID |
1 | Narayan | Singh | 02/11/84 | 04/01/08 | 1001 |
2 | Vedu | Gopal | 09/02/80 | 12/01/09 | 1002 |
3 | Meera | Nayar | 03/10/79 | 05/01/09 | 1003 |
4 | Ali | Ahamad | 08/28/85 | 09/01/10 | 1004 |
5 | Usni | Mubarak | 03/25/74 | 02/02/09 | 1005 |
SN | F_Name | L_Name | DateOfBirth | DateOfJoinee | Emp_ID |
1 | Narayan | Singh | 02/11/84 | 04/01/08 | 1001 |
The IN Operator:
IN operator is used to retrieves the multiple data from WHERE clause.Source table, EMP_Join
SN | F_Name | L_Name | DateOfBirth | DateOfJoinee | Emp_ID |
1 | Narayan | Singh | 02/11/84 | 04/01/08 | 1001 |
2 | Vedu | Gopal | 09/02/80 | 12/01/09 | 1002 |
3 | Meera | Nayar | 03/10/79 | 05/01/09 | 1003 |
4 | Ali | Ahamad | 08/28/85 | 09/01/10 | 1004 |
5 | Usni | Mubarak | 03/25/74 | 02/02/09 | 1005 |
SELECT * FROM EMP_Join WHERE F_Name IN (‘Narayan’, ‘Ali’);
SN | F_Name | L_Name | DateOfBirth | DateOfJoinee | Emp_ID |
1 | Narayan | Singh | 02/11/84 | 04/01/08 | 1001 |
4 | Ali | Ahamad | 08/28/85 | 09/01/10 | 1004 |
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