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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.

Database connection failed for local MSSQL server with pymssql

I had been working with pyodbcfor database connection in windows envirnment and it is working fine but now I want to switch to pymssql so that it is easier to be deployed to Linux machine as well. But I am getting this error:
(20009, b'DB-Lib error message 20009, severity 9:\nUnable to connect: Adaptive Server is unavailable or does not exist (localhost:1433)\nNet-Lib error during Unknown error (10060)\n')
My connection code for using both pyodbc and pymssql is:
import pyodbc
import pymssql
def connectODSDB_1():
conn_str = (
r"Driver={SQL Server};"
r"Server=(local);"
r"Database=populatedSandbox;"
r"Trusted_Connection=yes;"
)
return pyodbc.connect(conn_str)
def connectODSDB_2():
server = '(local)'
database = 'populatedSandbox'
conn = pymssql.connect(server=server, database=database)
return conn
What could be the problem? And solution?

Well after browsing internet for a while, it seems pymssql needs TCP/IP be enabled for communication.
Open Sql Server Configuration Manager
Expand SQL Server Network Configuration
Click on Protocols for instance_name
Enable TCP/IP

I have faced the same issue while using RDS(AWS database instance). We should configured the inbound outbound rules.
Do following steps to configure.
Services->RDS->DB Instances -> Select DB-> Connectivity&Security
Under Security Section
VPC security groups -> click on security group
Change the inbound rules.
Check the source IP and change into anywhere or specific IP

SSHTunnel for remote access of postgres server

I'm new to using postgres as well as ssh and am having some trouble understanding what I need to do to get remote clients accessing a postgres server. Right now I've got one computer with a server running that I can access using psycopg2 but now I want to query the server using another computer. I've looked around and found examples using sshtunneler, but I feel like I'm missing some puzzle pieces.
import psycopg2
from sshtunnel import SSHTunnelForwarder
import time
with SSHTunnelForwarder(
('192.168.1.121', 22),
ssh_password="????",
ssh_username="????",
remote_bind_address=('127.0.0.1', 5432)) as server:
conn = psycopg2.connect(database="networkdb",port=server.local_bind_port)
curs = conn.cursor()
sql = "select * from Cars"
curs.execute(sql)
rows = curs.fetchall()
print(rows)
My first confusion is I'm not sure what username/password should be. I downloaded putty and put the remote address info in the tunnel section using this tutorial but I have no idea if that's doing anything. When I try to start the server I get the error
2017-03-03 10:03:28,742| ERROR | Could not connect to gateway 192.168.1.121:22 : 10060
Any sort of help/explanation of what I need to do would be appreciated.
If I can do it without ssh then that would be better. Currently running this:
psycopg2.connect(dbname='networkinfodb', user='postgres', host='168.192.1.121', password='postgres', port=5432)
outputs...
OperationalError Traceback (most recent call last)
in ()
----> 1 psycopg2.connect(dbname='networkinfodb', user='postgres', host='168.192.1.121', password='postgres', port=5432)
OperationalError: could not connect to server: Connection timed out (0x0000274C/10060)
Is the server running on host "168.192.1.121" and accepting
TCP/IP connections on port 5432?
and I'm not sure where to go to figure out what the issue is.

So I didn't use ssh tunneling. That was only a backup as I was having trouble connecting to the database using psycopg2. I found that the firewall was blocking the port from being accessed externally so I was able to change that and now I can access the database from clients.

How to connect to MS SQL Server database remotely by IP in Python using mssql and pymssql

How can I connect to MS SQL Server database remotely by IP in Python using mssql and pymssql modules.
To connect locally I use link = mssql+pymssql://InstanceName/DataBaseName
I enabled TCP/IP Network Configurations.
But How can I get the connection link?
Thank you.

You need to create a Connection object
import pymssql
ip = '127.0.0.1'
database_connection = pymssql.connect(host=ip, port=1433, username='foo', password='bar')
If you're using SQLAlchemy, or another ORM that supports connection strings, you can also use the following format for the connection string.
'mssql+pymssql://{user}:{password}#{host}:{port}'

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)