Database connectivity in python
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This document discusses connecting Python to databases. It outlines 4 steps: 1) importing database modules, 2) establishing a connection, 3) creating a cursor object, and 4) executing SQL queries. It provides code examples for connecting to MySQL and PostgreSQL databases, creating a cursor, and fetching data using methods like fetchall(), fetchmany(), and fetchone(). The document is an introduction to connecting Python applications to various database servers.
![Step 4 -Execute SQL query
• Executes an SQL command against all parameter sequences or
mappings found in the sequence sql
• purchases = [
('2006-03-28', 'BUY', 'IBM', 1000, 45.00),
('2006-04-05', 'BUY', 'MSFT', 1000, 72.00),
('2006-04-06', 'SELL', 'IBM', 500, 53.00)
]
• c.executemany('INSERT INTO stocks VALUES (?,?,?,?,?)', purchases)](https://image.slidesharecdn.com/databaseconnectivityinpython-140811113351-phpapp01/85/Database-connectivity-in-python-9-320.jpg)
![Example
Import MySQLdb
db = MySQLdb.connect(user=‘root', password=‘root', host=‘localhost', database=‘test' )
cursor = db.cursor()
cursor.execute(“select * from tbl_student where place= calicut”)
results = cursor.fetchall()
for row in results:
fname = row[0]
lname = row[1]
age = row[2]
print "fname=%s,lname=%s,age=%d " % (fname, lname, age)](https://image.slidesharecdn.com/databaseconnectivityinpython-140811113351-phpapp01/85/Database-connectivity-in-python-11-320.jpg)
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Database connectivity in python
- 1. Introduction To Python Python-Mysql Connectivity
- 2. Database Connectivity • Python Database API supports a wide range of database servers: – GadFly – mySQL – MySQL – PostgreSQL – Microsoft SQL Server 2000 – Informix – Interbase – Oracle – Sybase
- 3. Step 1 – database import • Import modules for database in your python program Mysql import MySQLdb PostgreSql import psycopg2
- 4. Step 1 – database import • Import modules for database Mysql import MySQLdb PostgreSql import psycopg2 Traceback (most recent call last): File "test.py", line 3, in <module> import MySQLdb ImportError: No module named MySQLdb Error If the above error happens that means you have not installed the mysql/postgresql module for the python version you are using Solution : download it from http://sourceforge.net/projects/mysql- python
- 5. Step 2 – Establishing connection • Open a database connection with your program using connect() – Mysql – PostgreSql db = MySQLdb.connect(user=‘root', password=‘root', host=‘localhost', database=‘test' ) db = psycopg2.connect(user=‘root', password=‘root', host=‘localhost', database=‘test' )
- 6. Step 2 – Establishing connection • Open database connection – Mysql – PostgreSql db = MySQLdb.connect(user=‘root', password=‘root', host=‘localhost', database=‘test' ) db = psycopg2.connect(user=‘root', password=‘root', host=‘localhost', database=‘test' ) the connect() constructor creates a connection to the MySQL server and returns a MySQLConnection object
- 7. Step 3 – Creating cursor object • We need to create the object of a class called cursor that allows Python code to execute database command in a database session. • Cursors are created by the connection.cursor() method: they are bound to the connection for the entire lifetime and all the commands are executed in the context of the database session wrapped by the connection. cursor = db.cursor() • Mysql / PostgreSql
- 8. Step 4 -Execute SQL query We can execute the sql queries from python program using execute() method associated with cursor object . Examples – cursor.execute("SELECT * from tbl_student“) – cursor.execute("select a from tbl where b=? and c=?", x, y) – cursor.execute("select a from tbl where b=? and c=?", (x, y))
- 9. Step 4 -Execute SQL query • Executes an SQL command against all parameter sequences or mappings found in the sequence sql • purchases = [ ('2006-03-28', 'BUY', 'IBM', 1000, 45.00), ('2006-04-05', 'BUY', 'MSFT', 1000, 72.00), ('2006-04-06', 'SELL', 'IBM', 500, 53.00) ] • c.executemany('INSERT INTO stocks VALUES (?,?,?,?,?)', purchases)
- 10. Step 5 – Fetch data from database • MySQLdb provides multiple ways to retrieve data such as: –fetchall() • Fetch all (remaining) rows of a query result, returning them as a sequence of sequences (e.g. a list of tuples). –fetchmany(size) • Fetch the next set of rows of a query result, returning a sequence of sequences (e.g. a list of tuples) .It will return number of rows that matches to the size argument –fetchone() • Fetch the next row of a query result set, returning a single sequence, or None when no more data is available
- 11. Example Import MySQLdb db = MySQLdb.connect(user=‘root', password=‘root', host=‘localhost', database=‘test' ) cursor = db.cursor() cursor.execute(“select * from tbl_student where place= calicut”) results = cursor.fetchall() for row in results: fname = row[0] lname = row[1] age = row[2] print "fname=%s,lname=%s,age=%d " % (fname, lname, age)
- 12. Questions? “A good question deserve a good grade…”
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