Interface of Python with an SQL database

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Interface of Python with an SQL database by Mind Map: Interface of Python with an SQL database

1. Display Data

1.1. Fetchone

1.1.1. Return one record from ResultSet

1.1.1.1. mycursor.execute("select....")

1.1.1.2. mydata=mycursor.fetchone()

1.1.1.3. print(mydata)

1.2. Fetchall

1.2.1. Return all records from Result Set in form of tuple

1.2.1.1. mycursor.execute("select....")

1.2.1.2. mydata=mycursor.fetchall()

1.2.1.3. for row in mydata:

1.2.1.4. print(row)

1.3. Fetchmany

1.3.1. Return n number of records

1.3.1.1. mycursor.execute("select....")

1.3.1.2. mydata=mycursor.fetchmany(n)

1.3.1.3. for row in mydata:

1.3.1.4. print(row)

1.4. Rowcount

1.4.1. Return number of rows retrieved from the cursor

1.4.1.1. mycursor.execute("select....")

1.4.1.2. mydata=mycursor.fetchall()

1.4.1.3. datacount = mycursor.rowcount

1.4.1.4. print("Total row:", datacount)

2. Parameterized Query (Query based on some parameters)

2.1. Concatenation with Query

2.1.1. e.g. query="select * from tblStudent where name="str(studentname)

2.2. String Template with %S formatting

2.2.1. e.g. query="select * from tblStudent where name= %s and roll=%s" %(studentname, rollno,)

2.3. String Template with {} and format function

2.3.1. e.g. query="select * from tblStudent where name= { } and roll={ }" .format (studentname, rollno )

3. Connection between SQL and Python (Database connectivity is the connection and communication b/w an application and database)

3.1. 1. Open Python

3.1.1. Start Python IDE

3.2. 2. import package (mysql.connector)

3.2.1. import mysql.connector as <alias>

3.2.2. e.g. import mysql.connector as sqlcon

3.2.3. or use pymysql

3.3. 3. Opening of Connection to db

3.3.1. Establish connection to MySQL db using connect() function of mysql.connector package.

3.3.1.1. <Connectionobject> =mysql.connector.connect(host=<hostname>, user= <username>, passwd=<password>[,database = <database>])

3.3.1.2. e.g. mycon = sqlcon.connect(host="localhost", user="root", passwd="pass", database="newdb")

3.3.2. Connection is the session between application program and database.

3.4. 4. Creation of Cursor Instance

3.4.1. Special Control Structure to execute query and row wise processing of records

3.4.1.1. <cursorobject> = <connectionobject> .cursor()

3.4.1.2. e.g. mycursor = mycon.cursor()

3.5. 5. Execution of Query and result in resultset

3.5.1. Execute sql query using execute() function

3.5.1.1. <cursorobject>.execute(<sqlquerystring>)

3.5.1.2. e.g. mycursor = execute("select.....)

3.6. 6. Extraction of data from resultset

3.6.1. Result set is logical set of records that are fetched from db by executing SQL query

3.6.1.1. <data>= <cursor>.fetchone() / fetchmany (n) / fetchall ()

3.6.1.2. mydata=mycursor.fetchall()

3.7. 7. Clean up the Environment

3.7.1. Close the connection after all procession using close() function

3.7.1.1. <connectionObject>.close()

3.7.1.2. e.g. mycon.close()

4. Query Using Cursor

4.1. Insert Query

4.1.1. query="insert into......"

4.1.2. mycursor.execute(query)

4.1.3. mycon.commit()

4.2. Update Query

4.2.1. query="update ......"

4.2.2. mycursor.execute(query)

4.2.3. mycon.commit()

4.3. Delete Query

4.3.1. query="delete ......"

4.3.2. mycursor.execute(query)

4.3.3. mycon.commit()