Python & Pandas : (pymysql.err.OperationalError) (2003, “Can't connect to MySQL server on 'localhost'...
$begingroup$
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"}]'
df=pandas.DataFrame(eval(json_string_final))
print(df)
#----Using MySQLdb---
con=MySQLdb.connect(host='localhost',user='user1',passwd='pwd',db='myDB')
try:
df.to_sql(con=con, name='myTable1', if_exists='replace')
except Exception as error1:
print("Error with connection 1 ------> ")
print(error1)
#----Using Engine----
engine = create_engine("mysql+pymysql://{user}:{pw}@localhost/{db}".format(user="user1",pw="pwd",db="myDB"))
try:
df.to_sql(con=engine, name='myTable2', if_exists='replace')
except Exception as error1:
print("Error with connection 2 ----->")
print(error1)
I used two diffrent connections to store the data into MySQL dtabase. But connection was not established. Below is the error message.
Output:
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?
python pandas sql
asked 2 days ago
Dipankar NaluiDipankar Nalui
1203
New contributor
Dipankar Nalui is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
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add a comment |
$begingroup$
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"}]'
df=pandas.DataFrame(eval(json_string_final))
print(df)
#----Using MySQLdb---
con=MySQLdb.connect(host='localhost',user='user1',passwd='pwd',db='myDB')
try:
df.to_sql(con=con, name='myTable1', if_exists='replace')
except Exception as error1:
print("Error with connection 1 ------> ")
print(error1)
#----Using Engine----
engine = create_engine("mysql+pymysql://{user}:{pw}@localhost/{db}".format(user="user1",pw="pwd",db="myDB"))
try:
df.to_sql(con=engine, name='myTable2', if_exists='replace')
except Exception as error1:
print("Error with connection 2 ----->")
print(error1)
I used two diffrent connections to store the data into MySQL dtabase. But connection was not established. Below is the error message.
Output:
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?
python pandas sql
asked 2 days ago
Dipankar NaluiDipankar Nalui
1203
New contributor
Dipankar Nalui is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
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"}]'
df=pandas.DataFrame(eval(json_string_final))
print(df)
#----Using MySQLdb---
con=MySQLdb.connect(host='localhost',user='user1',passwd='pwd',db='myDB')
try:
df.to_sql(con=con, name='myTable1', if_exists='replace')
except Exception as error1:
print("Error with connection 1 ------> ")
print(error1)
#----Using Engine----
engine = create_engine("mysql+pymysql://{user}:{pw}@localhost/{db}".format(user="user1",pw="pwd",db="myDB"))
try:
df.to_sql(con=engine, name='myTable2', if_exists='replace')
except Exception as error1:
print("Error with connection 2 ----->")
print(error1)
I used two diffrent connections to store the data into MySQL dtabase. But connection was not established. Below is the error message.
Output:
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?
python pandas sql
asked 2 days ago
Dipankar NaluiDipankar Nalui
1203
New contributor
Dipankar Nalui is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
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"}]'
df=pandas.DataFrame(eval(json_string_final))
print(df)
#----Using MySQLdb---
con=MySQLdb.connect(host='localhost',user='user1',passwd='pwd',db='myDB')
try:
df.to_sql(con=con, name='myTable1', if_exists='replace')
except Exception as error1:
print("Error with connection 1 ------> ")
print(error1)
#----Using Engine----
engine = create_engine("mysql+pymysql://{user}:{pw}@localhost/{db}".format(user="user1",pw="pwd",db="myDB"))
try:
df.to_sql(con=engine, name='myTable2', if_exists='replace')
except Exception as error1:
print("Error with connection 2 ----->")
print(error1)
I used two diffrent connections to store the data into MySQL dtabase. But connection was not established. Below is the error message.
Output:
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?
python pandas sql
python pandas sql
asked 2 days ago
Dipankar NaluiDipankar Nalui
1203
New contributor
Dipankar Nalui is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 2 days ago
Dipankar NaluiDipankar Nalui
1203
New contributor
Dipankar Nalui is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 2 days ago
Dipankar NaluiDipankar Nalui
1203
New contributor
Dipankar Nalui is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 2 days ago
Dipankar NaluiDipankar Nalui
1203
asked 2 days ago
Dipankar NaluiDipankar Nalui
1203
1203
New contributor
Dipankar Nalui is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Dipankar Nalui is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
Dipankar Nalui is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |
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1 Answer
1
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votes
$begingroup$
The following works fine for me!
df.to_sql(con="mysql://user:password@localhost/database_name, name='myTable2', if_exists='replace')
answered yesterday
Siddhi Kiran BajracharyaSiddhi Kiran Bajracharya
3026
$endgroup$
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
$begingroup$
The following works fine for me!
df.to_sql(con="mysql://user:password@localhost/database_name, name='myTable2', if_exists='replace')
answered yesterday
Siddhi Kiran BajracharyaSiddhi Kiran Bajracharya
3026
$endgroup$
add a comment |
$begingroup$
The following works fine for me!
df.to_sql(con="mysql://user:password@localhost/database_name, name='myTable2', if_exists='replace')
answered yesterday
Siddhi Kiran BajracharyaSiddhi Kiran Bajracharya
3026
$endgroup$
add a comment |
$begingroup$
The following works fine for me!
df.to_sql(con="mysql://user:password@localhost/database_name, name='myTable2', if_exists='replace')
answered yesterday
Siddhi Kiran BajracharyaSiddhi Kiran Bajracharya
3026
$endgroup$
The following works fine for me!
df.to_sql(con="mysql://user:password@localhost/database_name, name='myTable2', if_exists='replace')
answered yesterday
Siddhi Kiran BajracharyaSiddhi Kiran Bajracharya
3026
answered yesterday
Siddhi Kiran BajracharyaSiddhi Kiran Bajracharya
3026
answered yesterday
Siddhi Kiran BajracharyaSiddhi Kiran Bajracharya
3026
answered yesterday
Siddhi Kiran BajracharyaSiddhi Kiran Bajracharya
3026
3026
add a comment |
add a comment |
Dipankar Nalui is a new contributor. Be nice, and check out our Code of Conduct.
Dipankar Nalui is a new contributor. Be nice, and check out our Code of Conduct.
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