I'm writing a Python Script to store JSON data into MySQL Database. I used pandas to store into MySQL Database.

I used two different modules (MySQLdb and sqlalchemy) to connect to MySQL dtaabase.

Python Code:

user@sys:~$ cat pandas_to_mysql.py 
import pandas
from pandas.io import sql
from sqlalchemy import create_engine
import MySQLdb

json_string_final='[{"id": 772, "name": "abcd"}]'

#----Using MySQLdb---
    df.to_sql(con=con, name='myTable1', if_exists='replace')
except Exception as error1:
    print("Error with connection 1 ------> ")

#----Using Engine----
engine = create_engine("mysql+pymysql://{user}:{pw}@localhost/{db}".format(user="user1",pw="pwd",db="myDB"))
    df.to_sql(con=engine, name='myTable2', if_exists='replace')
except Exception as error1:
    print("Error with connection 2 ----->")

I used two diffrent connections to store the data into MySQL dtabase. But connection was not established. Below is the error message.


user@sys:~$ python3 pandas_to_mysql.py 
    id  name
0  772  abcd
Error with connection 1 ------> 
Execution failed on sql 'SELECT name FROM sqlite_master WHERE type='table' AND name=?;': not all arguments converted during bytes formatting
Error with connection 2 ----->
(pymysql.err.OperationalError) (2003, "Can't connect to MySQL server on 'localhost' (timed out)")
(Background on this error at: http://sqlalche.me/e/e3q8)

But i'm able to connect to MySQL database manually from the same terminal using the following command.

MySQL Connection:

user@sys:~$ mysql -u user1 -h localhost -D myDB -p

It means, there is no issues with host, user, password, database name. Then what is the issue?


The following works for me:

df.to_sql(con="mysql://user:password@localhost/database_name, name='myTable2', if_exists='replace')

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