SQL - SELECT Query

SQL SELECT statement is used to fetch the data from a database table which returns data in the form of result table. These result tables are called result-sets.

Syntax:

The basic syntax of SELECT statement is as follows:

  SELECT column1, column2, columnN FROM table_name;

Here, column1, column2...are the fields of a table whose values you want to fetch. If you want to fetch all the fields available in the field, then you can use the following syntax:

SELECT * FROM table_name;

Example:

Consider the CUSTOMERS table having the following records:

  +----+----------+-----+-----------+----------+  | ID | NAME     | AGE | ADDRESS   | SALARY   |  +----+----------+-----+-----------+----------+  |  1 | Ramesh   |  32 | Ahmedabad |  2000.00 |  |  2 | Khilan   |  25 | Delhi     |  1500.00 |  |  3 | kaushik  |  23 | Kota      |  2000.00 |  |  4 | Chaitali |  25 | Mumbai    |  6500.00 |  |  5 | Hardik   |  27 | Bhopal    |  8500.00 |  |  6 | Komal    |  22 | MP        |  4500.00 |  |  7 | Muffy    |  24 | Indore    | 10000.00 |  +----+----------+-----+-----------+----------+

Following is an example, which would fetch ID, Name and Salary fields of the customers available in CUSTOMERS table:

  SQL> SELECT ID, NAME, SALARY FROM CUSTOMERS;

This would produce the following result:

  +----+----------+----------+  | ID | NAME     | SALARY   |  +----+----------+----------+  |  1 | Ramesh   |  2000.00 |  |  2 | Khilan   |  1500.00 |  |  3 | kaushik  |  2000.00 |  |  4 | Chaitali |  6500.00 |  |  5 | Hardik   |  8500.00 |  |  6 | Komal    |  4500.00 |  |  7 | Muffy    | 10000.00 |  +----+----------+----------+

If you want to fetch all the fields of CUSTOMERS table, then use the following query:

  SQL> SELECT * FROM CUSTOMERS;

This would produce the following result:

  +----+----------+-----+-----------+----------+  | ID | NAME     | AGE | ADDRESS   | SALARY   |  +----+----------+-----+-----------+----------+  |  1 | Ramesh   |  32 | Ahmedabad |  2000.00 |  |  2 | Khilan   |  25 | Delhi     |  1500.00 |  |  3 | kaushik  |  23 | Kota      |  2000.00 |  |  4 | Chaitali |  25 | Mumbai    |  6500.00 |  |  5 | Hardik   |  27 | Bhopal    |  8500.00 |  |  6 | Komal    |  22 | MP        |  4500.00 |  |  7 | Muffy    |  24 | Indore    | 10000.00 |  +----+----------+-----+-----------+-----