Python Pandas Tutorial: Importing Bulk CSVs Data Into SQL Server Using Python #17
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- Опубликовано: 17 сен 2024
- Importing Bulk CSV Data Into SQL Server Using Python
In this lecture your will learn or understand how we can import the bulk CSVs or data into SQL Server using Python and SQLAlchmey package.
Using Python and SQL scripts is a powerful technical combination to help developers and database administrators to do data analytics activities. Python provides many useful modules (Pandas, NumPy etc) to perform data computation and processing of data efficiently.
Follow the below steps to import the bulk data or CSVs into SQL server using Python SQLAlchemy.
1.) What is your HostName?
2.) What is DataBase Name?
3.) What is name of DataBase's Table?
4.) What is ODBC Driver Name?
5.) How to establish the connection between SQL Server and Python using SQLAlchemy?
6.) What is the connection parameter?
7.) How to use if_exists parameter?
8.) Learn to develop the entire script using Python and SQL Alchemy.
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I've been looking everywhere to find a good resource for importing pandas df to sql server and vice versa. Best tutorial ever. Thanks a mill.
Thank you very much, best tutorial on how to append data to sql.
Wonderful concept 👌
Wonderfull 👍👍
Thanks a lot, very good tutorial
Glad to hear. 😊
Nice explanation and this short code only I want to load file to table
I am glad this video helps you.
Nice 😌😌
Amazing
this works, thanks
Valuable resource easy to available, on easy to access medium in the simple easy definition. What else do we need more?
This is Awesome tutorial...
Nice video, Does the table structure should match the CSV files?
when I run my Batch file, I get this error "ImportError: No module named pyodbc"
Create virtual env and install pyodbc using pip install pyodbc
Your imparting skills are quite impressive. I find it easy to understand. Nice video. How we can insert data from pandas by pd.to_sql method in a user defined column of a particular table?? Say i want to insert live dataframe (with changing source values, and with no timestamp) in a 2nd column of a sql table where the 1st column record the timestamp of storing the dataframe??? Valuable solution/ reply will be helpful for me. Thanks in advance
please please check my code i am not able to execute showing error
import socket
import sqlalchemy
import pyodbc
import os
import pandas as pd
import platform
print(platform.node())
os.chdir(r"C:\\Users\\AM552QS\\Downloads\\excel")
os.getcwd()
print(os.listdir())
pyodbc.drivers()
conn = sqlalchemy.create_engine(f'mssql+pyodbc://{socket.gethostname()}//SMARTDB?trusted_connection=yes&ODBC Driver 17 for SQL Server')
for fl in os.listdir():
df = pd.read_csv(fl)
df.to_sql("Test", con=conn, if_exists="append", index=False)
Getting the error: InterfaceError: (pyodbc.InterfaceError) ('28000', '[28000] [Microsoft][ODBC Driver 17 for SQL Server][SQL Server]Login failed for user
Although i followed the same exact steps
which driver you are getting when you are printing pyodbc.drivers() ?
@@ProgrammingIsFunn ['SQL Server',
'SQL Server Native Client 11.0',
'SQL Server Native Client RDA 11.0',
'ODBC Driver 17 for SQL Server',
'ODBC Driver 18 for SQL Server']
me too
Please show how to import many CSVs files into separate tables (1 CSv = 1 Table) with DBForge or simpler. Ty.
I keep getting InterfaceError. Any advice? Already checked everything twice, no mistakes.
it is a nice video and walk through
I'm get stuck at the last part to be error " OS ERROR: Initializing from file failed
can some one help please please check my code i am not able to execute showing error
import socket
import sqlalchemy
import pyodbc
import os
import pandas as pd
import platform
print(platform.node())
os.chdir(r"C:\\Users\\AM552QS\\Downloads\\excel")
os.getcwd()
print(os.listdir())
pyodbc.drivers()
conn = sqlalchemy.create_engine(f'mssql+pyodbc://{socket.gethostname()}//SMARTDB?trusted_connection=yes&ODBC Driver 17 for SQL Server')
for fl in os.listdir():
df = pd.read_csv(fl)
df.to_sql("Test", con=conn, if_exists="append", index=False)
is there a way to check if record is already exist before inserting data?
Yes we can check.
Simply you have to setup primary key in your table then you can not insert duplicate data.
@@ProgrammingIsFunn
please please check my code i am not able to execute showing error
import socket
import sqlalchemy
import pyodbc
import os
import pandas as pd
import platform
print(platform.node())
os.chdir(r"C:\\Users\\AM552QS\\Downloads\\excel")
os.getcwd()
print(os.listdir())
pyodbc.drivers()
conn = sqlalchemy.create_engine(f'mssql+pyodbc://{socket.gethostname()}//SMARTDB?trusted_connection=yes&ODBC Driver 17 for SQL Server')
for fl in os.listdir():
df = pd.read_csv(fl)
df.to_sql("Test", con=conn, if_exists="append", index=False)
is it the last video of series?
No Sanket, soon we will try to upload videos on Pandas…
I found operational error , how I fix that ??
On which line of statement and please share the error
can you Share you code because i follow you but code is error
Cell In[5], line 6
df.to_sql('Paint',con=conn,if_exists = "append",index=False)
^
IndentationError: unexpected indent
GIVING ME THIS ERROR .
it is giving error for permission denied
OperationalError: (pyodbc.OperationalError) ('08001', '[08001] [Microsoft][ODBC Driver 18 for SQL Server]Named Pipes Provider: Could not open a connection to SQL Server [2]. (2) (SQLDriverConnect); [08001] [Microsoft][ODBC Driver 18 for SQL Server]Login timeout expired (0); [08001] [Microsoft][ODBC Driver 18 for SQL Server]A network-related or instance-specific error has occurred while establishing a connection to SQL Server. Server is not found or not accessible.
getting error