Interface Python with MySQL.pdf

INTERFACE PYTHON WITH
MYSQL
Connecting Python application with MySQL

Introduction
 Every application required data to be stored for future
reference to manipulate data. Today every application
stores data in database for this purpose
 For example, reservation system stores passengers
details for reserving the seats and later on for sending
some messages or for printing tickets etc.
 In school student details are saved for many reasons
like attendance, fee collections, exams, report card etc.
 Python allows us to connect all types of database like
Oracle, SQL Server, MySQL.
 In our syllabus we have to understand how to connect
Python programs with MySQL
VINOD KUMAR VERMA, PGT(CS)

Pre-requisite to connect Python with
MySQL
 Before we connect python program with any database
like MySQL we need to build a bridge to connect
Python and MySQL.
 To build this bridge so that data can travel both ways
we need a connector called “mysql.connector”.
 We can install “mysql.connector” by using following
methods:
 At command prompt (Administrator login)
 Type “pip install mysql.connector” and press enter
 (internet connection in required)
 This connector will work only for MySQL 5.7.3 or later
 Or open
“https://dev.mysql.com/downloads/connector/python/”
and download connector as per OS and Python version

Connecting to MySQL from Python
 Once the connector is installed you are ready to
connect your python program to MySQL.
 The following steps to follow while connecting your
python program with MySQL
 Open python
 Import the package required (import mysql.connector)
 Open the connection to database
 Create a cursor instance
 Execute the query and store it in resultset
 Extract data from resultset
 Clean up the environment

Importing mysql.connector
import mysql.connector
Or
import mysql.connector as ms
Here “ms” is an alias, so every time we can use “ms” in
place of “mysql.connector”

Open a connection to MySQL Database
 To create connection, connect() function is used
 Its syntax is:
 connect(host=<server_name>,user=<user_name>,
passwd=<password>[,database=<database>])
 Here server_name means database servername, generally
it is given as “localhost”
 User_name means user by which we connect with mysql
generally it is given as “root”
 Password is the password of user “root”
 Database is the name of database whose data(table) we
want to use

Example: To establish connection with MySQL
is_connected() function returns
true if connection is established
otherwise false
“mys” is an alias of package “mysql.connector”
“mycon” is connection object which stores connection established with MySQL
“connect()” function is used to connect with mysql by specifying parameters
like host, user, passwd, database

Table to work (emp)

Creating Cursor
 It is a useful control structure of database connectivity.
 When we fire a query to database, it is executed and
resultset (set of records) is sent over he connection in
one go.
 We may want to access data one row at a time, but
query processing cannot happens as one row at a time,
so cursor help us in performing this task. Cursor stores
all the data as a temporary container of returned data
and we can fetch data one row at a time from Cursor.

Creating Cursor and Executing Query
 TO CREATE CURSOR
 Cursor_name = connectionObject.cursor()
 For e.g.
 mycursor = mycon.cursor()
 TO EXECUTE QUERY
 We use execute() function to send query to connection
 Cursor_name.execute(query)
 For e.g.
 mycursor.execute(‘select * from emp’)

Example - Cursor
Output shows cursor is created and query is fired and stored, but no data is
coming. To fetch data we have to use functions like fetchall(), fetchone(),
fetchmany() are used

Fetching(extracting) data from ResultSet
 To extract data from cursor following functions are used:
 fetchall() : it will return all the record in the form of
tuple.
 fetchone() : it return one record from the result set. i.e.
first time it will return first record, next time it will return
second record and so on. If no more record it will return
None
 fetchmany(n) : it will return n number of records. It no
more record it will return an empty tuple.
 rowcount : it will return number of rows retrieved from
the cursor so far.

Example – fetchall()

Example 2 – fetchall()

Example 3 – fetchall()

Example 4: fetchone()

Example 5: fetchmany(n)

Guess the output

Parameterized Query
 We can pass values to query to perform dynamic
search like we want to search for any employee
number entered during runtime or to search any
other column values.
 To Create Parameterized query we can use various
methods like:
 Concatenating dynamic variable to query in which
values are entered.
 String template with % formatting
 String template with {} and format function

Concatenating variable with query

String template with %s formatting
 In this method we will use %s in place of values to
substitute and then pass the value for that place.

String template with %s formatting

String template with {} and format()
 In this method in place of %s we will use {} and to
pass values for these placeholder format() is used.
Inside we can optionally give 0,1,2… values for e.g.
{0},{1} but its not mandatory. we can also optionally
pass named parameter inside {} so that while passing
values through format function we need not to
remember the order of value to pass. For e.g.
{roll},{name} etc.

String template with {} and format()

Inserting data in MySQL table from Python
 INSERT and UPDATE operation are executed in the
same way we execute SELECT query using execute()
but one thing to remember, after executing insert or
update query we must commit our query using
connection object with commit().
 For e.g. (if our connection object name is mycon)
 mycon.commit()

Example : inserting data
BEFORE PROGRAM EXECUTION
AFTER PROGRAM EXECUTION

Example: Updating record

Interface Python with MySQL.pdf

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Interface Python with MySQL.pdf