Sunday, 17 March 2013
Syntax: SELECT [column_name] FROM [table_name] WHERE [condition_1] OR [condition_2];
Here, output will come if [condition_1] OR [condition_2] OR both satisfied. That means, it is SELECT [column_name] FROM [table_name] WHERE [condition_1] OR [condition_2] OR both applied.
Example:
Again, we will use the same table, to see the usage of OR command.
Table Name:
Employee Details ( employee_details)
Column Names:
Employee ID ( emp_id),
Employee Name (emp_name),
Employee Address (emp_address) and
Employee Role: (emp_role).
Table: employee_details
Now, using OR command, we will SELECT those tuple, WHERE emp_role is 'Developer' or 'Business Analyst'.
So, the query will be :
SELECT * FROM employee_details WHERE emp_role = 'Developer' OR emp_role = 'Business Analyst';
Result:
Sunday, 17 March 2013 by Anijit Sarkar · 0 Read more »
Friday, 1 March 2013
Syntax: SELECT [column_name] FROM [table_name] WHERE [condition_1] AND [condition_2];
[Note: AND means mandatory condition, that means, the operation has to always fulfill the criteria provied under AND block. ]
Example:
Again, use the same table, we will see the usage of AND command.
Employee Details ( employee_details), which contains
Employee ID ( emp_id),
Employee Name (emp_name),
Employee Address (emp_address) and
Employee Role: (emp_role).
Table: employee_details
Now, using AND command, we will SELECT those tuple, WHERE emp_role is 'Developer' and emp_address is 'Park Street, Kolkata'.
So, the query will be :
SELECT * FROM employee_details WHERE emp_role = 'Developer' AND emp_address = 'Park Street, Kolkata';
Result:
In this way, we can use multiple conditions on an RDBMS operation.
Friday, 1 March 2013 by Anijit Sarkar · 0 Read more »
Saturday, 23 February 2013
Syntax: SELECT [column_name] FROM [table_name] WHERE [condition]
Example:
Again, we will see the same table
Employee Details ( employee_details), which contains
Employee ID ( emp_id),
Employee Name (emp_name),
Employee Address (emp_address) and
Employee Role: (emp_role).
Table: employee_details
Now, from this table, if a situation ariser, where we have to just select the information of the developers, the we have to set some condition on our SELECT query, so that we can get the details of the employees with 'emp_role' 'Developer' . Then the Query will be
SELECT * FROM employee_details WHERE emp_role = 'Developer';
Result:
In this way we can filter our data output.
Saturday, 23 February 2013 by Anijit Sarkar · 1 Read more »
Sunday, 17 February 2013
For Single Column :
Syntax : SELECT [Column_name] FROM [Table_Name];
For Multiple Columns :
Syntax : SELECT [Column1_name, Column2_name, Column3_name] FROM [Table_Name];
Now, what if you want to select all the columns of a table or a view. Do you have to write all the column name for that. No necessarily, you can user the star (*) sign in [Column_name] area. Then the syntax will be:
For All Columns :
Syntax : SELECT * FROM [Table_Name];
Example:
Suppose there is a table to keep
Employee Details (Table Name: employee_details), which contains
Employee ID(Column Name: emp_id),
Employee Name(Column Name: emp_name),
Employee Address:(Column Name: emp_address) and
Employee Role: (Column Name: emp_role).
Table: employee_details
Now, to select emp_id and emp_name from the table, the query will be,
SELECT emp_id, emp_name FROM employee_details;
Result:
SELECT * FROM employee_details;
Result:
Sunday, 17 February 2013 by Anijit Sarkar · 1 Read more »
Thursday, 14 February 2013
SQL helps to store, manipulate, read and delete data from data base. It helps to performs the CRUD(Create, Read, Update & Delete) operations in RDBMS.
Create: It helps to create database, schema, table and view, along with there properties.
Read: It helps to select all information from single or multiple records from one or many table or view.
Update: It also helps us to manipulates existing data in a database.
Delete: It can also delete information or structure of database or table.
Thursday, 14 February 2013 by Anijit Sarkar · 4 Read more »
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