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Connect to MySQL database (over SSH) in python script

I am in a situation where I need to access a MySQL database running on another computer (Computer B). Unfortunately, the computers aren't on the same local network. The only way I found that I can access the SQL database on Computer B from my laptop (Computer A) is via SSH.
My question is, can I access the SQL database over SSH from python?

you can use this snippet:
import pymysql
import paramiko
import pandas as pd
from paramiko import SSHClient
from sshtunnel import SSHTunnelForwarder
from os.path import expanduser
home = expanduser('~')
mypkey = paramiko.RSAKey.from_private_key_file(home + pkeyfilepath)
# if you want to use ssh password use - ssh_password='your ssh password', bellow
sql_hostname = 'sql_hostname'
sql_username = 'sql_username'
sql_password = 'sql_password'
sql_main_database = 'db_name'
sql_port = 3306
ssh_host = 'ssh_hostname'
ssh_user = 'ssh_username'
ssh_port = 22
sql_ip = '1.1.1.1.1'
with SSHTunnelForwarder(
(ssh_host, ssh_port),
ssh_username=ssh_user,
ssh_pkey=mypkey,
remote_bind_address=(sql_hostname, sql_port)) as tunnel:
conn = pymysql.connect(host='127.0.0.1', user=sql_username,
passwd=sql_password, db=sql_main_database,
port=tunnel.local_bind_port)
query = '''SELECT VERSION();'''
data = pd.read_sql_query(query, conn)
conn.close()

Python MySQL Connection with SSH

Hi I have a shared hosting i bought and it allows for remote MySQL connection only with SSH.
So far I know that it doesn't have any Public or Private Keys..
And here's my connection setup on the MySQL Workbench which works when I try to connect:
I have looked at another stackoverflow question: Here but none of the answers seems to work for me.. :/ I'm really at a dead end and I need to get this to work. Can someone help me out please?

So I figured it out with like a million trial and error:
import pymysql
import paramiko
import pandas as pd
from paramiko import SSHClient
from sshtunnel import SSHTunnelForwarder
ssh_host = '198.54.xx.xx'
ssh_host_port = 21098 #Ur SSH port
ssh_username = "sshuser123" #Change this
ssh_password = "sshpassword123" #Change this
db_user = 'db user' #change this
db_password = 'password123' #change this
db = 'main_db' #The db that the user is linked to
with SSHTunnelForwarder(
(ssh_host, ssh_host_port),
ssh_username=ssh_username,
ssh_password=ssh_password,
remote_bind_address=('127.0.0.1', 3306)) as tunnel:
conn = pymysql.connect(host='127.0.0.1', user=db_user,
passwd=db_password, db=db,
port=tunnel.local_bind_port)
query = '''SELECT * from tablename;'''
data = pd.read_sql_query(query, conn)
print(data)
conn.close()
This is the code you should use if your SSH on MySql doesn't have any Public / Private Key.
Hope this helps anyone facing the same issue!!

Connect to server 198.54.x.240:21098 via ssh with port-forwarding
like ssh -t -gL 33069:localhost:3306 198.54.x.240
in windows use PuTTY, i like KiTTy (fork putty )
add connection and SSH Tunnel look at the pictures
Connect to MySQL via localhost:33069 (answer you know)WorkBench do the same, but 3306 on 3306, if you need more than 1 remote connection best practice forward different porst.

SQLAlchemy through Paramiko SSH

I have a database on a server which I need to access through SSH. Right now I deal with the DB by using the command line to get the data.
import paramiko
ssh = paramiko.SSHClient()
ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy())
ssh.connect(hostname='XX.XX.XX', username='user', password='pass', port = YYY)
query = "mysql -u " + username_sql + " -p" + password_sql +" dbb -e \"" + sql_query + "\""
ssh.exec_command(query.decode('string_escape'))
ssh.close()
Is there a way to do this with SQLAlchemy to be more efficient and so I can work with pandas DataFrames directly?
from sqlalchemy import create_engine
engine = create_engine(
"mysql://username_sql:password_sql#localhost/dbb")

In case there is anyone who's interested in connecting to a remote Postgresql database via SSH and wants to load data into a pandas DataFrame here is how to do it.
Suppose we have installed a postgresql database on a remote server, to which we can ssh by the following parameters.
SSH parameters:
Server's ip: 10.0.0.101
SSH port: 22 (default port for SSH)
Username: my_username
Password: my_password
Database parameters:
Port: 5432 (postgresql default port)
Database name: db
Database user: postgres_user (default username is postgres)
Database password: postgres_pswd (default password is an empty string)
Table with our data: MY_TABLE
Now, we want to connect to this database on our end and load data into a pandas DataFrame:
from sshtunnel import SSHTunnelForwarder
from sqlalchemy import create_engine
import pandas as pd
server = SSHTunnelForwarder(
('10.0.0.101', 22),
ssh_username="my_username",
ssh_password="my_password",
remote_bind_address=('127.0.0.1', 5432)
)
server.start()
local_port = str(server.local_bind_port)
engine = create_engine('postgresql://{}:{}#{}:{}/{}'.format("postgres_user", "postgres_pswd", "127.0.0.1", local_port, "db"))
dataDF = pd.read_sql("SELECT * FROM \"{}\";".format("MY_TABLE"), engine)
server.stop()

The easiest way to do this would be to run an SSH tunnel to the mysql port on the remote host. For example:
ssh -f user#XX.XX.XX.XX -L 3307:mysql1.example.com:3306 -N
Then connect locally with SQLAlchemy:
engine = create_engine("mysql://username_sql:password_sql#localhost:3307/dbb")
If you really want to use paramiko, try this demo code in the paramiko repo or the sshtunnel module. The ssh command might be the easiest method though.. and you can use autossh to restart the tunnel if it goes down.

You could use the SSHTunnel library as follows:
from sshtunnel import SSHTunnelForwarder #Run pip install sshtunnel
from sqlalchemy.orm import sessionmaker #Run pip install sqlalchemy
with SSHTunnelForwarder(
('10.160.1.24', 22), #Remote server IP and SSH port
ssh_username = "<usr>",
ssh_password = "<pwd>",
remote_bind_address=('127.0.0.1', 5432)
) as server:
server.start() #start ssh sever
print 'Server connected via SSH'
#connect to PostgreSQL
local_port = str(server.local_bind_port)
engine = create_engine('postgresql://<db_user>:<db_pwd>#127.0.0.1:' + local_port +'/<db_name>')
Session = sessionmaker(bind=engine)
session = Session()
print 'Database session created'
#test data retrieval
test = session.execute("SELECT * FROM <table_name>")

Just swap the (host, port) of the server with postgres:
from sshtunnel import SSHTunnelForwarder #Run pip install sshtunnel
server = SSHTunnelForwarder(
(<'your host'>, <host port>),
ssh_username=<"os remote username">,
ssh_pkey=<'path/to/key.pem'>, # or ssh_password.
remote_bind_address=(<'postgres db host'>, <'postgres db port'>))
server.start()
connection_data = 'postgresql://{user}:{password}#{host}:{port}/{db}'.format(user=<'postgres user'>,
password=<'postgres password'>,
host=server.local_bind_host,
port=server.local_bind_port,
db=<'postgres db name'>)
engine = create_engine(connection_data)
# Do your queries
server.stop()

I'm going to piggy back #Matin Kh with a non-postgresql db - MySQL and using Pythonanywhere.com.
This code will take a table and convert it to an excel file.
import sshtunnel
import sqlalchemy
import pymysql
import pandas as pd
from pandas import ExcelWriter
import datetime as dt
from sshtunnel import SSHTunnelForwarder
server = SSHTunnelForwarder(
('ssh.pythonanywhere.com'),
ssh_username='username',
ssh_password='password',
remote_bind_address=('username.mysql.pythonanywhere-services.com', 3306) )
server.start()
local_port = str(server.local_bind_port)
db = 'username$database'
engine = sqlalchemy.create_engine(f'mysql+pymysql://username:password#127.0.0.1:{local_port}/{db}')
print('Engine Created')
df_read = pd.read_sql_table('tablename',engine)
print('Grabbed Table')
writer = ExcelWriter('excelfile.xlsx')
print('writer created')
df_read.to_excel(writer,'8==D') # '8==D' specifies sheet
print('df to excel')
writer.save()
print('saved')
server.stop()

Connecting to MySQL database via SSH

I am trying to connect my python program to a remote MySQL Database via SSH.
I am using Paramiko for SSH and SQLAlchemy.
Here is what I have so far:
import paramiko
from sqlalchemy import create_engine
ssh = paramiko.SSHClient()
ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy())
ssh.connect('host', port=port, username='user', password='pass')
engine = create_engine('mysql+mysqldb://user:pass#host/db')
I am getting an error:
sqlalchemy.exc.OperationalError: (_mysql_exceptions.OperationalError) (2003, "Can't connect to MySQL server on 'mcsdev.croft-it.com' (60)")

Sorry I posted a duplicated answer before. Here is a more elaborated answer tailored exactly to your question ;)
If you still in need of connecting to a remote MySQL db via SSH I have used a library named sshtunnel, that wraps ands simplifies the use of paramiko (a dependency of the sshtunnel).
With this code I think you will be good to go:
from sshtunnel import SSHTunnelForwarder
from sqlalchemy import create_engine
server = SSHTunnelForwarder(
('host', 22),
ssh_password="password",
ssh_username="username",
remote_bind_address=('127.0.0.1', 3306))
server.start()
engine = create_engine('mysql+mysqldb://user:pass#127.0.0.1:%s/db' % server.local_bind_port)
# DO YOUR THINGS
server.stop()

This code work for me
import pymysql
import paramiko
from paramiko import SSHClient
from sshtunnel import SSHTunnelForwarder
from sqlalchemy import create_engine
#ssh config
mypkey = paramiko.RSAKey.from_private_key_file('your/user/location/.ssh/id_rsa')
ssh_host = 'your_ssh_host'
ssh_user = 'ssh_host_username'
ssh_port = 22
#mysql config
sql_hostname = 'your_mysql_host name'
sql_username = 'mysql_user'
sql_password = 'mysql_password'
sql_main_database = 'your_database_name'
sql_port = 3306
host = '127.0.0.1'
with SSHTunnelForwarder(
(ssh_host, ssh_port),
ssh_username=ssh_user,
ssh_pkey=mypkey,
remote_bind_address=(sql_hostname, sql_port)) as tunnel:
engine = create_engine('mysql+pymysql://'+sql_username+':'+sql_password+'#'+host+':'+str(tunnel.local_bind_port)+'/'+sql_main_database)
connection = engine.connect()
print('engine creating...')
sql = text(""" select * from nurse_profiles np limit 50""")
nurseData = connection.execute(sql)
connection.close()
nurseList = []
for row in nurseData:
nurseList.append(dict(row))
print('nurseList len: ', len(nurseList))
print('nurseList: ', nurseList)

Using external ubuntu server
With ssh key on digital ocean
The accepted answer did not work for me, I had to specify the ssh_private_key, which is the path to your private key
from sqlalchemy import create_engine
from sshtunnel import SSHTunnelForwarder
server = SSHTunnelForwarder(
('133.22.166.19', 22),
ssh_password="123ABC123",
ssh_username="erfan",
ssh_private_key=r'C:\Users\Erfan\.ssh\id_rsa',
remote_bind_address=('127.0.0.1', 3306)
)
server.start()
engine = create_engine(
f'mysql+mysqldb://root:safepassword123#127.0.0.1:{server.local_bind_port}'
)
dbs = engine.execute('SHOW DATABASES;')
for db in dbs:
print(db)
server.stop()

Connecting to remote PostgreSQL database over SSH tunnel using Python

I have a problem with connecting to a remote database using SSH tunnel (now I'm trying with Paramiko). Here is my code:
#!/usr/bin/env python3
import psycopg2
import paramiko
import time
#ssh = paramiko.SSHClient()
#ssh.load_system_host_keys()
#ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy())
#ssh.connect('pluton.kt.agh.edu.pl', 22, username='aburban', password='pass')
t = paramiko.Transport(('pluton.kt.agh.edu.pl', 22))
t.connect(username="aburban", password='pass')
c = paramiko.Channel(t)
conn = psycopg2.connect(database="dotest")
curs = conn.cursor()
sql = "select * from tabelka"
curs.execute(sql)
rows = curs.fetchall()
print(rows)
A problem is that the program always tries to connect to the local database. I tried with other SSH tunnels and there was the same situation. Database on remote server exists and works fine using "classical" SSH connection via terminal.

You can try using sshtunnel module that uses Paramiko and it's Python 3 compatible.
Hopefully it helps you... I scratched myself the head for a while too to do it within Python code and avoid SSH external tunnels, we need to thank developers that wrap complex libraries into simple code!
Will be simple, generate a tunnel to port 5432 in localhost of remote server from a local port then you use it to connect via localhost to the remote DB.
This will be a sample working code for your needs:
#!/usr/bin/env python3
import psycopg2
from sshtunnel import SSHTunnelForwarder
import time
with SSHTunnelForwarder(
('pluton.kt.agh.edu.pl', 22),
ssh_password="password",
ssh_username="aburban",
remote_bind_address=('127.0.0.1', 5432)) as server:
conn = psycopg2.connect(database="dotest",port=server.local_bind_port)
curs = conn.cursor()
sql = "select * from tabelka"
curs.execute(sql)
rows = curs.fetchall()
print(rows)