A MySQL client library is employed when we have to use MySQL with other programming languages. The work of PyMySQL is to provide access to MySQL Driver to the required language. Thus, it generates a connection between the programming language and the MySQL Server.
OrderBy Clause
The OrderBy is used to arrange the result set in either ascending or descending order. By default, it is always in ascending order unless “DESC” is mentioned, which arranges it in descending order. “ASC” can also be used to explicitly arrange it in ascending order. But, it is generally not done this way since default already does that.
Syntax :
SELECT column_list FROM table_name ORDER BY column_name ASC|DESC;
The following programs will help you understand this better.
Table in use :
Example 1: Program to arrange the data in ascending order by PRODUCT_TYPE
Python3
import pymysql # Create a connection object # IP address of the MySQL database server Host = "localhost" # User name of the database server User = "user" # Password for the database user Password = "" database = "GFG" conn = pymysql.connect(host = Host, user = User, password = Password, database) # Create a cursor object cur = conn.cursor() query = f "SELECT * FROM PRODUCT ORDER BY PRODUCT_TYPE ASC" cur.execute(query) rows = cur.fetchall() for row in rows : print (row) conn.close() |
Output :
Example 2: Arranging the table in descending order by price
Python3
import pymysql # Create a connection object conn = pymysql.connect( 'localhost' , 'user' , 'password' , 'database' ) # Create a cursor object cur = conn.cursor() query = f "SELECT * FROM PRODUCT ORDER BY price DESC" cur.execute(query) for row in rows : print (row) conn.close() |
Output :
Example 3: Arranging the table in ascending order by price
Python3
import pymysql # Create a connection object conn = pymysql.connect( 'localhost' , 'user' , 'password' , 'database' ) # Create a cursor object cur = conn.cursor() query = f"SELECT price,PRODUCT_TYPE FROM PRODUCT\ ORDER BY price ASC" cur.execute(query) for row in rows : print (row) conn.close() |
Output :