The answer is
If you do not need MySQLdb, but would accept any library, I would very, very much recommend MySQL Connector/Python from MySQL: http://dev.mysql.com/downloads/connector/python/.
It is one package (around 110k), pure Python, so it is system independent, and dead simple to install. You just download, double-click, confirm license agreement and go. There is no need for Xcode, MacPorts, compiling, restarting …
Then you connect like:
import mysql.connector
cnx = mysql.connector.connect(user='scott', password='tiger',
host='127.0.0.1',
database='employees')
try:
cursor = cnx.cursor()
cursor.execute("""
select 3 from your_table
""")
result = cursor.fetchall()
print result
finally:
cnx.close()
Best way to connect to MySQL from python is to Use MySQL Connector/Python because it is official Oracle driver for MySQL for working with Python and it works with both Python 3 and Python 2.
follow the steps mentioned below to connect MySQL
install connector using pip
pip install mysql-connector-python
or you can download the installer from https://dev.mysql.com/downloads/connector/python/
Use
connect()method of mysql connector python to connect to MySQL.pass the required argument toconnect()method. i.e. Host, username, password, and database name.Create
cursorobject from connection object returned byconnect()method to execute SQL queries.close the connection after your work completes.
Example:
import mysql.connector
from mysql.connector import Error
try:
conn = mysql.connector.connect(host='hostname',
database='db',
user='root',
password='passcode')
if conn.is_connected():
cursor = conn.cursor()
cursor.execute("select database();")
record = cursor.fetchall()
print ("You're connected to - ", record)
except Error as e :
print ("Print your error msg", e)
finally:
#closing database connection.
if(conn.is_connected()):
cursor.close()
conn.close()
Reference - https://pynative.com/python-mysql-database-connection/
Important API of MySQL Connector Python
For DML operations - Use
cursor.execute()andcursor.executemany()to run query. and after this useconnection.commit()to persist your changes to DBTo fetch data - Use
cursor.execute()to run query andcursor.fetchall(),cursor.fetchone(),cursor.fetchmany(SIZE)to fetch data
Stop Using MySQLDb if you want to avoid installing mysql headers just to access mysql from python.
Use pymysql. It does all of what MySQLDb does, but it was implemented purely in Python with NO External Dependencies. This makes the installation process on all operating systems consistent and easy. pymysql is a drop in replacement for MySQLDb and IMHO there is no reason to ever use MySQLDb for anything... EVER! - PTSD from installing MySQLDb on Mac OSX and *Nix systems, but that's just me.
Installation
pip install pymysql
That's it... you are ready to play.
Example usage from pymysql Github repo
import pymysql.cursors
import pymysql
# Connect to the database
connection = pymysql.connect(host='localhost',
user='user',
password='passwd',
db='db',
charset='utf8mb4',
cursorclass=pymysql.cursors.DictCursor)
try:
with connection.cursor() as cursor:
# Create a new record
sql = "INSERT INTO `users` (`email`, `password`) VALUES (%s, %s)"
cursor.execute(sql, ('[email protected]', 'very-secret'))
# connection is not autocommit by default. So you must commit to save
# your changes.
connection.commit()
with connection.cursor() as cursor:
# Read a single record
sql = "SELECT `id`, `password` FROM `users` WHERE `email`=%s"
cursor.execute(sql, ('[email protected]',))
result = cursor.fetchone()
print(result)
finally:
connection.close()
ALSO - Replace MySQLdb in existing code quickly and transparently
If you have existing code that uses MySQLdb, you can easily replace it with pymysql using this simple process:
# import MySQLdb << Remove this line and replace with:
import pymysql
pymysql.install_as_MySQLdb()
All subsequent references to MySQLdb will use pymysql transparently.
mysqlclient is the best as others only provide support to specific versions of python
pip install mysqlclient
example code
import mysql.connector
import _mysql
db=_mysql.connect("127.0.0.1","root","umer","sys")
#db=_mysql.connect(host,user,password,db)
# Example of how to insert new values:
db.query("""INSERT INTO table1 VALUES ('01', 'myname')""")
db.store_result()
db.query("SELECT * FROM new1.table1 ;")
#new1 is scheme table1 is table mysql
res= db.store_result()
for i in range(res.num_rows()):
print(result.fetch_row())
First install the driver (Ubuntu)
sudo apt-get install python-pip
sudo pip install -U pip
sudo apt-get install python-dev libmysqlclient-dev
sudo apt-get install MySQL-python
MySQL database connection codes
import MySQLdb
conn = MySQLdb.connect (host = "localhost",user = "root",passwd = "pass",db = "dbname")
cursor = conn.cursor ()
cursor.execute ("SELECT VERSION()")
row = cursor.fetchone ()
print "server version:", row[0]
cursor.close ()
conn.close ()
First step to get The Library:
Open terminal and execute pip install mysql-python-connector.
After the installation go the second step.
Second Step to import the library:
Open your python file and write the following code:
import mysql.connector
Third step to connect to the server: Write the following code:
conn = mysql.connector.connect(host=
you host name like localhost or 127.0.0.1, username=your username like root, password =your password)
Third step Making the cursor:
Making a cursor makes it easy for us to run queries.
To make the cursor use the following code:
cursor = conn.cursor()
Executing queries:
For executing queries you can do the following:
cursor.execute(query)
If the query changes any thing in the table you need to add the following code after the execution of the query:
conn.commit()
Getting values from a query:
If you want to get values from a query then you can do the following:
cursor.excecute('SELECT * FROM table_name') for i in cursor: print(i) #Or for i in cursor.fetchall(): print(i)
The fetchall() method returns a list with many tuples that contain the values that you requested ,row after row .
Closing the connection:
To close the connection you should use the following code:
conn.close()
Handling exception:
To Handel exception you can do it Vai the following method:
try: #Logic pass except mysql.connector.errors.Error: #Logic pass
To use a database:
For example you are a account creating system where you are storing the data in a database named blabla, you can just add a database parameter to the connect() method ,like
mysql.connector.connect(database = database name)
don't remove other informations like host,username,password.
PyMySQL 0.10.1 - Released: Sep 10, 2020, has support for python3 as well.
python3 -m pip install PyMySQL
Simple code:
import pymysql
# Connect to the database
conn = pymysql.connect(host='127.0.0.1',user='root',passwd='root',db='fax')
# Create a Cursor object
cur = conn.cursor()
# Execute the query
cur.execute("SELECT * FROM fax.student")
# Read and print records
for row in cur.fetchall():
print(row)
output:
(1, 'Petar', 'Petrovic', 1813, 'Njegusi')
(2, 'Donald', 'Tramp', 1946, 'New York')
(3, 'Bill', 'Gates', 1955, 'Seattle')
Connecting to MYSQL with Python 2 in three steps
1 - Setting
You must install a MySQL driver before doing anything. Unlike PHP, Only the SQLite driver is installed by default with Python. The most used package to do so is MySQLdb but it's hard to install it using easy_install. Please note MySQLdb only supports Python 2.
For Windows user, you can get an exe of MySQLdb.
For Linux, this is a casual package (python-mysqldb). (You can use sudo apt-get install python-mysqldb (for debian based distros), yum install MySQL-python (for rpm-based), or dnf install python-mysql (for modern fedora distro) in command line to download.)
For Mac, you can install MySQLdb using Macport.
2 - Usage
After installing, Reboot. This is not mandatory, But it will prevent me from answering 3 or 4 other questions in this post if something goes wrong. So please reboot.
Then it is just like using any other package :
#!/usr/bin/python
import MySQLdb
db = MySQLdb.connect(host="localhost", # your host, usually localhost
user="john", # your username
passwd="megajonhy", # your password
db="jonhydb") # name of the data base
# you must create a Cursor object. It will let
# you execute all the queries you need
cur = db.cursor()
# Use all the SQL you like
cur.execute("SELECT * FROM YOUR_TABLE_NAME")
# print all the first cell of all the rows
for row in cur.fetchall():
print row[0]
db.close()
Of course, there are thousand of possibilities and options; this is a very basic example. You will have to look at the documentation. A good starting point.
3 - More advanced usage
Once you know how it works, You may want to use an ORM to avoid writing SQL manually and manipulate your tables as they were Python objects. The most famous ORM in the Python community is SQLAlchemy.
I strongly advise you to use it: your life is going to be much easier.
I recently discovered another jewel in the Python world: peewee. It's a very lite ORM, really easy and fast to setup then use. It makes my day for small projects or stand alone apps, Where using big tools like SQLAlchemy or Django is overkill :
import peewee
from peewee import *
db = MySQLDatabase('jonhydb', user='john', passwd='megajonhy')
class Book(peewee.Model):
author = peewee.CharField()
title = peewee.TextField()
class Meta:
database = db
Book.create_table()
book = Book(author="me", title='Peewee is cool')
book.save()
for book in Book.filter(author="me"):
print book.title
This example works out of the box. Nothing other than having peewee (pip install peewee) is required.
First step to get The Library:
Open terminal and execute pip install mysql-python-connector.
After the installation go the second step.
Second Step to import the library:
Open your python file and write the following code:
import mysql.connector
Third step to connect to the server: Write the following code:
conn = mysql.connector.connect(host=
you host name like localhost or 127.0.0.1, username=your username like root, password =your password)
Third step Making the cursor:
Making a cursor makes it easy for us to run queries.
To make the cursor use the following code:
cursor = conn.cursor()
Executing queries:
For executing queries you can do the following:
cursor.execute(query)
If the query changes any thing in the table you need to add the following code after the execution of the query:
conn.commit()
Getting values from a query:
If you want to get values from a query then you can do the following:
cursor.excecute('SELECT * FROM table_name') for i in cursor: print(i) #Or for i in cursor.fetchall(): print(i)
The fetchall() method returns a list with many tuples that contain the values that you requested ,row after row .
Closing the connection:
To close the connection you should use the following code:
conn.close()
Handling exception:
To Handel exception you can do it Vai the following method:
try: #Logic pass except mysql.connector.errors.Error: #Logic pass
To use a database:
For example you are a account creating system where you are storing the data in a database named blabla, you can just add a database parameter to the connect() method ,like
mysql.connector.connect(database = database name)
don't remove other informations like host,username,password.
Stop Using MySQLDb if you want to avoid installing mysql headers just to access mysql from python.
Use pymysql. It does all of what MySQLDb does, but it was implemented purely in Python with NO External Dependencies. This makes the installation process on all operating systems consistent and easy. pymysql is a drop in replacement for MySQLDb and IMHO there is no reason to ever use MySQLDb for anything... EVER! - PTSD from installing MySQLDb on Mac OSX and *Nix systems, but that's just me.
Installation
pip install pymysql
That's it... you are ready to play.
Example usage from pymysql Github repo
import pymysql.cursors
import pymysql
# Connect to the database
connection = pymysql.connect(host='localhost',
user='user',
password='passwd',
db='db',
charset='utf8mb4',
cursorclass=pymysql.cursors.DictCursor)
try:
with connection.cursor() as cursor:
# Create a new record
sql = "INSERT INTO `users` (`email`, `password`) VALUES (%s, %s)"
cursor.execute(sql, ('[email protected]', 'very-secret'))
# connection is not autocommit by default. So you must commit to save
# your changes.
connection.commit()
with connection.cursor() as cursor:
# Read a single record
sql = "SELECT `id`, `password` FROM `users` WHERE `email`=%s"
cursor.execute(sql, ('[email protected]',))
result = cursor.fetchone()
print(result)
finally:
connection.close()
ALSO - Replace MySQLdb in existing code quickly and transparently
If you have existing code that uses MySQLdb, you can easily replace it with pymysql using this simple process:
# import MySQLdb << Remove this line and replace with:
import pymysql
pymysql.install_as_MySQLdb()
All subsequent references to MySQLdb will use pymysql transparently.
As a db driver, there is also oursql. Some of the reasons listed on that link, which say why oursql is better:
- oursql has real parameterization, sending the SQL and data to MySQL completely separately.
- oursql allows text or binary data to be streamed into the database and streamed out of the database, instead of requiring everything to be buffered in the client.
- oursql can both insert rows lazily and fetch rows lazily.
- oursql has unicode support on by default.
- oursql supports python 2.4 through 2.7 without any deprecation warnings on 2.6+ (see PEP 218) and without completely failing on 2.7 (see PEP 328).
- oursql runs natively on python 3.x.
So how to connect to mysql with oursql?
Very similar to mysqldb:
import oursql
db_connection = oursql.connect(host='127.0.0.1',user='foo',passwd='foobar',db='db_name')
cur=db_connection.cursor()
cur.execute("SELECT * FROM `tbl_name`")
for row in cur.fetchall():
print row[0]
The tutorial in the documentation is pretty decent.
And of course for ORM SQLAlchemy is a good choice, as already mentioned in the other answers.
PyMySQL 0.10.1 - Released: Sep 10, 2020, has support for python3 as well.
python3 -m pip install PyMySQL
Simple code:
import pymysql
# Connect to the database
conn = pymysql.connect(host='127.0.0.1',user='root',passwd='root',db='fax')
# Create a Cursor object
cur = conn.cursor()
# Execute the query
cur.execute("SELECT * FROM fax.student")
# Read and print records
for row in cur.fetchall():
print(row)
output:
(1, 'Petar', 'Petrovic', 1813, 'Njegusi')
(2, 'Donald', 'Tramp', 1946, 'New York')
(3, 'Bill', 'Gates', 1955, 'Seattle')
Try using MySQLdb. MySQLdb only supports Python 2.
There is a how to page here: http://www.kitebird.com/articles/pydbapi.html
From the page:
# server_version.py - retrieve and display database server version
import MySQLdb
conn = MySQLdb.connect (host = "localhost",
user = "testuser",
passwd = "testpass",
db = "test")
cursor = conn.cursor ()
cursor.execute ("SELECT VERSION()")
row = cursor.fetchone ()
print "server version:", row[0]
cursor.close ()
conn.close ()
MySQLdb is the straightforward way. You get to execute SQL queries over a connection. Period.
My preferred way, which is also pythonic, is to use the mighty SQLAlchemy instead. Here is a query related tutorial, and here is a tutorial on ORM capabilities of SQLALchemy.
Just a modification in above answer. Simply run this command to install mysql for python
sudo yum install MySQL-python
sudo apt-get install MySQL-python
remember! It is case sensitive.
Here's one way to do it, using MySQLdb, which only supports Python 2:
#!/usr/bin/python
import MySQLdb
# Connect
db = MySQLdb.connect(host="localhost",
user="appuser",
passwd="",
db="onco")
cursor = db.cursor()
# Execute SQL select statement
cursor.execute("SELECT * FROM location")
# Commit your changes if writing
# In this case, we are only reading data
# db.commit()
# Get the number of rows in the resultset
numrows = cursor.rowcount
# Get and display one row at a time
for x in range(0, numrows):
row = cursor.fetchone()
print row[0], "-->", row[1]
# Close the connection
db.close()
Despite all answers above, in case you do not want to connect to a specific database upfront, for example, if you want to create the database still (!), you can use connection.select_db(database), as demonstrated in the following.
import pymysql.cursors
connection = pymysql.connect(host='localhost',
user='mahdi',
password='mahdi',
charset='utf8mb4',
cursorclass=pymysql.cursors.DictCursor)
cursor = connection.cursor()
cursor.execute("CREATE DATABASE IF NOT EXISTS "+database)
connection.select_db(database)
sql_create = "CREATE TABLE IF NOT EXISTS "+tablename+(timestamp DATETIME NOT NULL PRIMARY KEY)"
cursor.execute(sql_create)
connection.commit()
cursor.close()
For python 3.3
CyMySQL https://github.com/nakagami/CyMySQL
I have pip installed on my windows 7, just pip install cymysql
(you don't need cython) quick and painless
Also take a look at Storm. It is a simple SQL mapping tool which allows you to easily edit and create SQL entries without writing the queries.
Here is a simple example:
from storm.locals import *
# User will be the mapped object; you have to create the table before mapping it
class User(object):
__storm_table__ = "user" # table name
ID = Int(primary=True) #field ID
name= Unicode() # field name
database = create_database("mysql://root:password@localhost:3306/databaseName")
store = Store(database)
user = User()
user.name = u"Mark"
print str(user.ID) # None
store.add(user)
store.flush() # ID is AUTO_INCREMENT
print str(user.ID) # 1 (ID)
store.commit() # commit all changes to the database
To find and object use:
michael = store.find(User, User.name == u"Michael").one()
print str(user.ID) # 10
Find with primary key:
print store.get(User, 1).name #Mark
For further information see the tutorial.
Run this command in your terminal to install mysql connector:
pip install mysql-connector-python
And run this in your python editor to connect to MySQL:
import mysql.connector
mydb = mysql.connector.connect(
host="localhost",
user="yusername",
passwd="password",
database="database_name"
)
Samples to execute MySQL Commands (in your python edior):
mycursor = mydb.cursor()
mycursor.execute("CREATE TABLE customers (name VARCHAR(255), address VARCHAR(255))")
mycursor.execute("SHOW TABLES")
mycursor.execute("INSERT INTO customers (name, address) VALUES ('John', 'Highway 21')")
mydb.commit() # Use this command after insert or update
For more commands: https://www.w3schools.com/python/python_mysql_getstarted.asp
Best way to connect to MySQL from python is to Use MySQL Connector/Python because it is official Oracle driver for MySQL for working with Python and it works with both Python 3 and Python 2.
follow the steps mentioned below to connect MySQL
install connector using pip
pip install mysql-connector-python
or you can download the installer from https://dev.mysql.com/downloads/connector/python/
Use
connect()method of mysql connector python to connect to MySQL.pass the required argument toconnect()method. i.e. Host, username, password, and database name.Create
cursorobject from connection object returned byconnect()method to execute SQL queries.close the connection after your work completes.
Example:
import mysql.connector
from mysql.connector import Error
try:
conn = mysql.connector.connect(host='hostname',
database='db',
user='root',
password='passcode')
if conn.is_connected():
cursor = conn.cursor()
cursor.execute("select database();")
record = cursor.fetchall()
print ("You're connected to - ", record)
except Error as e :
print ("Print your error msg", e)
finally:
#closing database connection.
if(conn.is_connected()):
cursor.close()
conn.close()
Reference - https://pynative.com/python-mysql-database-connection/
Important API of MySQL Connector Python
For DML operations - Use
cursor.execute()andcursor.executemany()to run query. and after this useconnection.commit()to persist your changes to DBTo fetch data - Use
cursor.execute()to run query andcursor.fetchall(),cursor.fetchone(),cursor.fetchmany(SIZE)to fetch data
A very good connector for MySQL and MariaDB is mysql-connector-python. It is written in Python so you can modify it whenever you want.
You can install it by running these commands:
pip3 uninstall mysql-connector
pip3 install mysql-connector-python
Then you can use it with the following code:
import mysql.connector
database = mysql.connector.connect(
host='localhost',
user='db_username,
password='passwd',
database='db_name',
autocommit=True
)
cursor = database.cursor()
cursor.execute('SELECT * FROM users')
You can pass the autocommit parameter and set it to
True. In this way you will not have to calldatabase.commit()every time you update the database. Also you can prevent some errors I have mentioned in another question.
External links
first install the driver
pip install MySQL-python
Then a basic code goes like this:
#!/usr/bin/python
import MySQLdb
try:
db = MySQLdb.connect(host="localhost", # db server, can be a remote one
db="mydb" # database
user="mydb", # username
passwd="mydb123", # password for this username
)
# Create a Cursor object
cur = db.cursor()
# Create a query string. It can contain variables
query_string = "SELECT * FROM MY_TABLE"
# Execute the query
cur.execute(query_string)
# Get all the rows present the database
for each_row in cur.fetchall():
print each_row
# Close the connection
db.close()
except Exception, e:
print 'Error ', e
This is Mysql DB connection
from flask import Flask, render_template, request
from flask_mysqldb import MySQL
app = Flask(__name__)
app.config['MYSQL_HOST'] = 'localhost'
app.config['MYSQL_USER'] = 'root'
app.config['MYSQL_PASSWORD'] = 'root'
app.config['MYSQL_DB'] = 'MyDB'
mysql = MySQL(app)
@app.route('/', methods=['GET', 'POST'])
def index():
if request.method == "POST":
details = request.form
cur = mysql.connection.cursor()
cur.execute ("_Your query_")
mysql.connection.commit()
cur.close()
return 'success'
return render_template('index.html')
if __name__ == '__main__':
app.run()
Even though some of you may mark this as a duplicate and get upset that I am copying someone else's answer, I would REALLY like to highlight an aspect of Mr. Napik's response. Because I missed this, I caused nationwide website downtime (9min). If only someone shared this information, I could have prevented it!
Here is his code:
import mysql.connector
cnx = mysql.connector.connect(user='scott', password='tiger',
host='127.0.0.1',
database='employees')
try:
cursor = cnx.cursor()
cursor.execute("""select 3 from your_table""")
result = cursor.fetchall()
print(result)
finally:
cnx.close()
The important thing here is the Try and Finally clause. This allows connections to ALWAYS be closed, regardless of what happens in the cursor/sqlstatement portion of the code. A lot of active connections cause DBLoadNoCPU to spike and could crash a db server.
I hope this warning helps to save servers and ultimately jobs! :D
Oracle (MySQL) now supports a pure Python connector. That means no binaries to install: it's just a Python library. It's called "Connector/Python".
Despite all answers above, in case you do not want to connect to a specific database upfront, for example, if you want to create the database still (!), you can use connection.select_db(database), as demonstrated in the following.
import pymysql.cursors
connection = pymysql.connect(host='localhost',
user='mahdi',
password='mahdi',
charset='utf8mb4',
cursorclass=pymysql.cursors.DictCursor)
cursor = connection.cursor()
cursor.execute("CREATE DATABASE IF NOT EXISTS "+database)
connection.select_db(database)
sql_create = "CREATE TABLE IF NOT EXISTS "+tablename+(timestamp DATETIME NOT NULL PRIMARY KEY)"
cursor.execute(sql_create)
connection.commit()
cursor.close()
Try using MySQLdb. MySQLdb only supports Python 2.
There is a how to page here: http://www.kitebird.com/articles/pydbapi.html
From the page:
# server_version.py - retrieve and display database server version
import MySQLdb
conn = MySQLdb.connect (host = "localhost",
user = "testuser",
passwd = "testpass",
db = "test")
cursor = conn.cursor ()
cursor.execute ("SELECT VERSION()")
row = cursor.fetchone ()
print "server version:", row[0]
cursor.close ()
conn.close ()
This is Mysql DB connection
from flask import Flask, render_template, request
from flask_mysqldb import MySQL
app = Flask(__name__)
app.config['MYSQL_HOST'] = 'localhost'
app.config['MYSQL_USER'] = 'root'
app.config['MYSQL_PASSWORD'] = 'root'
app.config['MYSQL_DB'] = 'MyDB'
mysql = MySQL(app)
@app.route('/', methods=['GET', 'POST'])
def index():
if request.method == "POST":
details = request.form
cur = mysql.connection.cursor()
cur.execute ("_Your query_")
mysql.connection.commit()
cur.close()
return 'success'
return render_template('index.html')
if __name__ == '__main__':
app.run()
MySQLdb is the straightforward way. You get to execute SQL queries over a connection. Period.
My preferred way, which is also pythonic, is to use the mighty SQLAlchemy instead. Here is a query related tutorial, and here is a tutorial on ORM capabilities of SQLALchemy.
Just a modification in above answer. Simply run this command to install mysql for python
sudo yum install MySQL-python
sudo apt-get install MySQL-python
remember! It is case sensitive.
Run this command in your terminal to install mysql connector:
pip install mysql-connector-python
And run this in your python editor to connect to MySQL:
import mysql.connector
mydb = mysql.connector.connect(
host="localhost",
user="yusername",
passwd="password",
database="database_name"
)
Samples to execute MySQL Commands (in your python edior):
mycursor = mydb.cursor()
mycursor.execute("CREATE TABLE customers (name VARCHAR(255), address VARCHAR(255))")
mycursor.execute("SHOW TABLES")
mycursor.execute("INSERT INTO customers (name, address) VALUES ('John', 'Highway 21')")
mydb.commit() # Use this command after insert or update
For more commands: https://www.w3schools.com/python/python_mysql_getstarted.asp
you can connect your python code to mysql in this way.
import MySQLdb
db = MySQLdb.connect(host="localhost",
user="appuser",
passwd="",
db="onco")
cursor = db.cursor()
MySQLdb is the straightforward way. You get to execute SQL queries over a connection. Period.
My preferred way, which is also pythonic, is to use the mighty SQLAlchemy instead. Here is a query related tutorial, and here is a tutorial on ORM capabilities of SQLALchemy.
Oracle (MySQL) now supports a pure Python connector. That means no binaries to install: it's just a Python library. It's called "Connector/Python".
first install the driver
pip install MySQL-python
Then a basic code goes like this:
#!/usr/bin/python
import MySQLdb
try:
db = MySQLdb.connect(host="localhost", # db server, can be a remote one
db="mydb" # database
user="mydb", # username
passwd="mydb123", # password for this username
)
# Create a Cursor object
cur = db.cursor()
# Create a query string. It can contain variables
query_string = "SELECT * FROM MY_TABLE"
# Execute the query
cur.execute(query_string)
# Get all the rows present the database
for each_row in cur.fetchall():
print each_row
# Close the connection
db.close()
except Exception, e:
print 'Error ', e
As a db driver, there is also oursql. Some of the reasons listed on that link, which say why oursql is better:
- oursql has real parameterization, sending the SQL and data to MySQL completely separately.
- oursql allows text or binary data to be streamed into the database and streamed out of the database, instead of requiring everything to be buffered in the client.
- oursql can both insert rows lazily and fetch rows lazily.
- oursql has unicode support on by default.
- oursql supports python 2.4 through 2.7 without any deprecation warnings on 2.6+ (see PEP 218) and without completely failing on 2.7 (see PEP 328).
- oursql runs natively on python 3.x.
So how to connect to mysql with oursql?
Very similar to mysqldb:
import oursql
db_connection = oursql.connect(host='127.0.0.1',user='foo',passwd='foobar',db='db_name')
cur=db_connection.cursor()
cur.execute("SELECT * FROM `tbl_name`")
for row in cur.fetchall():
print row[0]
The tutorial in the documentation is pretty decent.
And of course for ORM SQLAlchemy is a good choice, as already mentioned in the other answers.
Here's one way to do it, using MySQLdb, which only supports Python 2:
#!/usr/bin/python
import MySQLdb
# Connect
db = MySQLdb.connect(host="localhost",
user="appuser",
passwd="",
db="onco")
cursor = db.cursor()
# Execute SQL select statement
cursor.execute("SELECT * FROM location")
# Commit your changes if writing
# In this case, we are only reading data
# db.commit()
# Get the number of rows in the resultset
numrows = cursor.rowcount
# Get and display one row at a time
for x in range(0, numrows):
row = cursor.fetchone()
print row[0], "-->", row[1]
# Close the connection
db.close()
Try using MySQLdb. MySQLdb only supports Python 2.
There is a how to page here: http://www.kitebird.com/articles/pydbapi.html
From the page:
# server_version.py - retrieve and display database server version
import MySQLdb
conn = MySQLdb.connect (host = "localhost",
user = "testuser",
passwd = "testpass",
db = "test")
cursor = conn.cursor ()
cursor.execute ("SELECT VERSION()")
row = cursor.fetchone ()
print "server version:", row[0]
cursor.close ()
conn.close ()
Connecting to MYSQL with Python 2 in three steps
1 - Setting
You must install a MySQL driver before doing anything. Unlike PHP, Only the SQLite driver is installed by default with Python. The most used package to do so is MySQLdb but it's hard to install it using easy_install. Please note MySQLdb only supports Python 2.
For Windows user, you can get an exe of MySQLdb.
For Linux, this is a casual package (python-mysqldb). (You can use sudo apt-get install python-mysqldb (for debian based distros), yum install MySQL-python (for rpm-based), or dnf install python-mysql (for modern fedora distro) in command line to download.)
For Mac, you can install MySQLdb using Macport.
2 - Usage
After installing, Reboot. This is not mandatory, But it will prevent me from answering 3 or 4 other questions in this post if something goes wrong. So please reboot.
Then it is just like using any other package :
#!/usr/bin/python
import MySQLdb
db = MySQLdb.connect(host="localhost", # your host, usually localhost
user="john", # your username
passwd="megajonhy", # your password
db="jonhydb") # name of the data base
# you must create a Cursor object. It will let
# you execute all the queries you need
cur = db.cursor()
# Use all the SQL you like
cur.execute("SELECT * FROM YOUR_TABLE_NAME")
# print all the first cell of all the rows
for row in cur.fetchall():
print row[0]
db.close()
Of course, there are thousand of possibilities and options; this is a very basic example. You will have to look at the documentation. A good starting point.
3 - More advanced usage
Once you know how it works, You may want to use an ORM to avoid writing SQL manually and manipulate your tables as they were Python objects. The most famous ORM in the Python community is SQLAlchemy.
I strongly advise you to use it: your life is going to be much easier.
I recently discovered another jewel in the Python world: peewee. It's a very lite ORM, really easy and fast to setup then use. It makes my day for small projects or stand alone apps, Where using big tools like SQLAlchemy or Django is overkill :
import peewee
from peewee import *
db = MySQLDatabase('jonhydb', user='john', passwd='megajonhy')
class Book(peewee.Model):
author = peewee.CharField()
title = peewee.TextField()
class Meta:
database = db
Book.create_table()
book = Book(author="me", title='Peewee is cool')
book.save()
for book in Book.filter(author="me"):
print book.title
This example works out of the box. Nothing other than having peewee (pip install peewee) is required.
you can connect your python code to mysql in this way.
import MySQLdb
db = MySQLdb.connect(host="localhost",
user="appuser",
passwd="",
db="onco")
cursor = db.cursor()
For python 3.3
CyMySQL https://github.com/nakagami/CyMySQL
I have pip installed on my windows 7, just pip install cymysql
(you don't need cython) quick and painless
SqlAlchemy
SQLAlchemy is the Python SQL toolkit and Object Relational Mapper that gives application developers the full power and flexibility of SQL. SQLAlchemy provides a full suite of well known enterprise-level persistence patterns, designed for efficient and high-performing database access, adapted into a simple and Pythonic domain language.
Installation
pip install sqlalchemy
RAW query
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker, scoped_session
engine = create_engine("mysql://<user_name>:<password>@<host_name>/<db_name>")
session_obj = sessionmaker(bind=engine)
session = scoped_session(session_obj)
# insert into database
session.execute("insert into person values(2, 'random_name')")
session.flush()
session.commit()
ORM way
from sqlalchemy import Column, Integer, String
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker, scoped_session
Base = declarative_base()
engine = create_engine("mysql://<user_name>:<password>@<host_name>/<db_name>")
session_obj = sessionmaker(bind=engine)
session = scoped_session(session_obj)
# Bind the engine to the metadata of the Base class so that the
# declaratives can be accessed through a DBSession instance
Base.metadata.bind = engine
class Person(Base):
__tablename__ = 'person'
# Here we define columns for the table person
# Notice that each column is also a normal Python instance attribute.
id = Column(Integer, primary_key=True)
name = Column(String(250), nullable=False)
# insert into database
person_obj = Person(id=12, name="name")
session.add(person_obj)
session.flush()
session.commit()
First install the driver (Ubuntu)
sudo apt-get install python-pip
sudo pip install -U pip
sudo apt-get install python-dev libmysqlclient-dev
sudo apt-get install MySQL-python
MySQL database connection codes
import MySQLdb
conn = MySQLdb.connect (host = "localhost",user = "root",passwd = "pass",db = "dbname")
cursor = conn.cursor ()
cursor.execute ("SELECT VERSION()")
row = cursor.fetchone ()
print "server version:", row[0]
cursor.close ()
conn.close ()
SqlAlchemy
SQLAlchemy is the Python SQL toolkit and Object Relational Mapper that gives application developers the full power and flexibility of SQL. SQLAlchemy provides a full suite of well known enterprise-level persistence patterns, designed for efficient and high-performing database access, adapted into a simple and Pythonic domain language.
Installation
pip install sqlalchemy
RAW query
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker, scoped_session
engine = create_engine("mysql://<user_name>:<password>@<host_name>/<db_name>")
session_obj = sessionmaker(bind=engine)
session = scoped_session(session_obj)
# insert into database
session.execute("insert into person values(2, 'random_name')")
session.flush()
session.commit()
ORM way
from sqlalchemy import Column, Integer, String
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker, scoped_session
Base = declarative_base()
engine = create_engine("mysql://<user_name>:<password>@<host_name>/<db_name>")
session_obj = sessionmaker(bind=engine)
session = scoped_session(session_obj)
# Bind the engine to the metadata of the Base class so that the
# declaratives can be accessed through a DBSession instance
Base.metadata.bind = engine
class Person(Base):
__tablename__ = 'person'
# Here we define columns for the table person
# Notice that each column is also a normal Python instance attribute.
id = Column(Integer, primary_key=True)
name = Column(String(250), nullable=False)
# insert into database
person_obj = Person(id=12, name="name")
session.add(person_obj)
session.flush()
session.commit()
MySQLdb is the straightforward way. You get to execute SQL queries over a connection. Period.
My preferred way, which is also pythonic, is to use the mighty SQLAlchemy instead. Here is a query related tutorial, and here is a tutorial on ORM capabilities of SQLALchemy.
for Python3.6 I found two driver: pymysql and mysqlclient. I tested the performance between them and got the result: the mysqlclient is faster.
below is my test process(need install python lib profilehooks to analyze time elapse:
raw sql: select * from FOO;
immediatly execute in mysql terminal:
46410 rows in set (0.10 sec)
pymysql (2.4s):
from profilehooks import profile
import pymysql.cursors
import pymysql
connection = pymysql.connect(host='localhost', user='root', db='foo')
c = connection.cursor()
@profile(immediate=True)
def read_by_pymysql():
c.execute("select * from FOO;")
res = c.fetchall()
read_by_pymysql()
here's the pymysql profile:
mysqlclient (0.4s)
from profilehooks import profile
import MySQLdb
connection = MySQLdb.connect(host='localhost', user='root', db='foo')
c = connection.cursor()
@profile(immediate=True)
def read_by_mysqlclient():
c.execute("select * from FOO;")
res = c.fetchall()
read_by_mysqlclient()
here's the mysqlclient profile:
So, it seems that mysqlclient is much faster than pymysql
First, install python-mysql connector from https://dev.mysql.com/downloads/connector/python/
on Python console enter:
pip install mysql-connector-python-rf
import mysql.connector
Here's one way to do it, using MySQLdb, which only supports Python 2:
#!/usr/bin/python
import MySQLdb
# Connect
db = MySQLdb.connect(host="localhost",
user="appuser",
passwd="",
db="onco")
cursor = db.cursor()
# Execute SQL select statement
cursor.execute("SELECT * FROM location")
# Commit your changes if writing
# In this case, we are only reading data
# db.commit()
# Get the number of rows in the resultset
numrows = cursor.rowcount
# Get and display one row at a time
for x in range(0, numrows):
row = cursor.fetchone()
print row[0], "-->", row[1]
# Close the connection
db.close()
If you do not need MySQLdb, but would accept any library, I would very, very much recommend MySQL Connector/Python from MySQL: http://dev.mysql.com/downloads/connector/python/.
It is one package (around 110k), pure Python, so it is system independent, and dead simple to install. You just download, double-click, confirm license agreement and go. There is no need for Xcode, MacPorts, compiling, restarting …
Then you connect like:
import mysql.connector
cnx = mysql.connector.connect(user='scott', password='tiger',
host='127.0.0.1',
database='employees')
try:
cursor = cnx.cursor()
cursor.execute("""
select 3 from your_table
""")
result = cursor.fetchall()
print result
finally:
cnx.close()
Even though some of you may mark this as a duplicate and get upset that I am copying someone else's answer, I would REALLY like to highlight an aspect of Mr. Napik's response. Because I missed this, I caused nationwide website downtime (9min). If only someone shared this information, I could have prevented it!
Here is his code:
import mysql.connector
cnx = mysql.connector.connect(user='scott', password='tiger',
host='127.0.0.1',
database='employees')
try:
cursor = cnx.cursor()
cursor.execute("""select 3 from your_table""")
result = cursor.fetchall()
print(result)
finally:
cnx.close()
The important thing here is the Try and Finally clause. This allows connections to ALWAYS be closed, regardless of what happens in the cursor/sqlstatement portion of the code. A lot of active connections cause DBLoadNoCPU to spike and could crash a db server.
I hope this warning helps to save servers and ultimately jobs! :D
mysqlclient is the best as others only provide support to specific versions of python
pip install mysqlclient
example code
import mysql.connector
import _mysql
db=_mysql.connect("127.0.0.1","root","umer","sys")
#db=_mysql.connect(host,user,password,db)
# Example of how to insert new values:
db.query("""INSERT INTO table1 VALUES ('01', 'myname')""")
db.store_result()
db.query("SELECT * FROM new1.table1 ;")
#new1 is scheme table1 is table mysql
res= db.store_result()
for i in range(res.num_rows()):
print(result.fetch_row())
for Python3.6 I found two driver: pymysql and mysqlclient. I tested the performance between them and got the result: the mysqlclient is faster.
below is my test process(need install python lib profilehooks to analyze time elapse:
raw sql: select * from FOO;
immediatly execute in mysql terminal:
46410 rows in set (0.10 sec)
pymysql (2.4s):
from profilehooks import profile
import pymysql.cursors
import pymysql
connection = pymysql.connect(host='localhost', user='root', db='foo')
c = connection.cursor()
@profile(immediate=True)
def read_by_pymysql():
c.execute("select * from FOO;")
res = c.fetchall()
read_by_pymysql()
here's the pymysql profile:
mysqlclient (0.4s)
from profilehooks import profile
import MySQLdb
connection = MySQLdb.connect(host='localhost', user='root', db='foo')
c = connection.cursor()
@profile(immediate=True)
def read_by_mysqlclient():
c.execute("select * from FOO;")
res = c.fetchall()
read_by_mysqlclient()
here's the mysqlclient profile:
So, it seems that mysqlclient is much faster than pymysql
Also take a look at Storm. It is a simple SQL mapping tool which allows you to easily edit and create SQL entries without writing the queries.
Here is a simple example:
from storm.locals import *
# User will be the mapped object; you have to create the table before mapping it
class User(object):
__storm_table__ = "user" # table name
ID = Int(primary=True) #field ID
name= Unicode() # field name
database = create_database("mysql://root:password@localhost:3306/databaseName")
store = Store(database)
user = User()
user.name = u"Mark"
print str(user.ID) # None
store.add(user)
store.flush() # ID is AUTO_INCREMENT
print str(user.ID) # 1 (ID)
store.commit() # commit all changes to the database
To find and object use:
michael = store.find(User, User.name == u"Michael").one()
print str(user.ID) # 10
Find with primary key:
print store.get(User, 1).name #Mark
For further information see the tutorial.
Try using MySQLdb. MySQLdb only supports Python 2.
There is a how to page here: http://www.kitebird.com/articles/pydbapi.html
From the page:
# server_version.py - retrieve and display database server version
import MySQLdb
conn = MySQLdb.connect (host = "localhost",
user = "testuser",
passwd = "testpass",
db = "test")
cursor = conn.cursor ()
cursor.execute ("SELECT VERSION()")
row = cursor.fetchone ()
print "server version:", row[0]
cursor.close ()
conn.close ()
Here's one way to do it, using MySQLdb, which only supports Python 2:
#!/usr/bin/python
import MySQLdb
# Connect
db = MySQLdb.connect(host="localhost",
user="appuser",
passwd="",
db="onco")
cursor = db.cursor()
# Execute SQL select statement
cursor.execute("SELECT * FROM location")
# Commit your changes if writing
# In this case, we are only reading data
# db.commit()
# Get the number of rows in the resultset
numrows = cursor.rowcount
# Get and display one row at a time
for x in range(0, numrows):
row = cursor.fetchone()
print row[0], "-->", row[1]
# Close the connection
db.close()
Source: Stackoverflow.com