MySQL server is an open-source relational database management system that is a major support for web-based applications. Databases and related tables are the main component of many websites and applications as the data is stored and exchanged over the web. In order to access MySQL databases from a web server, we use various modules in Python such as PyMySQL, mysql.connector, etc.
In this article, we are going to Compute the Sum of All Rows of a Column in a specific MySQL table in a Database. First, we are going to connect to a database having a MySQL table. The SQL query that is going to be used is:
SELECT SUM(column_name) FROM table_name
And finally, display the sum of rows in the table.
Below are some programs which depict how to compute the sum of all rows of a column of a MySQL table in a Database:
Example 1
Below is the table student in database gfg which is going to be accessed by a Python script:
Below is the program to get the sum of rows of a particular column in a MySQL table:
Python3
# import required module import mysql.connector # connect python with mysql with your hostname, # database, user and password db = mysql.connector.connect(host='localhost', database='gfg', user='root', password='') # create cursor object cursor = db.cursor() # get the sum of rows of a column cursor.execute("SELECT SUM(Marks) FROM student") # fetch sum and display it print(cursor.fetchall()[0][0]) # terminate connection db.close() |
Output:
Example 2
Here is another example to get the sum of rows from a table in a given database, below is the table schema and rows:
Below is the python script to get row sum of members from the table club:
Python3
# import required module import mysql.connector # connect python with mysql with your hostname, # database, user and password db = mysql.connector.connect(host='localhost', database='gfg', user='root', password='') # create cursor object cursor = db.cursor() # get the sum of rows of a column cursor.execute("SELECT SUM(members) FROM club") # fetch sum and display it print(cursor.fetchall()[0][0]) # terminate connection db.close() |
Output:
