How to Import Records From a CSV File to Microsoft SQL Server With Python

How to Import Records From a CSV File to Microsoft SQL Server With Python

In this Python tutorial, we are going to learn how to import records from a CSV file to Microsoft SQL Server.

In this Python tutorial, we are going to learn how to import records from a CSV file to Microsoft SQL Server.

The script can also be adapted to import dataset from an Excel file, a text file, or any data file as we will be reading the dataset into a pandas dataframe first. And the database system is not limited to just SQL Server, it can be MySQL, Oracle, or any other database systems. I am using SQL Server because this is the database system I know the best.

Timestamp: 00:00 - Tutorial info 00:45 - Data source used in this video 02:15 - Table Creation SQL Statement 02:35 - Writing automation script in Python 03:20 - How to find out what drivers are available on your PC 03:45 - Get SQL Server Server Name 04:45 - Import data to DataFrame 07:45 - Data clean up 14:52 - Convert DataFrame object to List object 16:00 - Create connection string 19:45 - Create connection object 22:00 - Create cursor object 25:35 - Run the script for testing.

Source Code:

import pypyodbc as odbc # pip install pypyodbc
import pandas as pd # pip install pandas

Step 1. Importing dataset from CSV
df = pd.read_csv('Real-Time_Traffic_Incident_Reports.csv')

Step 2.1 Data clean up
df['Published Date'] = pd.to_datetime(df['Published Date']).dt.strftime('%Y-%m-%d %H:%M:%S')
df['Status Date'] = pd.to_datetime(df['Published Date']).dt.strftime('%Y-%m-%d %H:%M:%S')

df.drop(df.query('Location.isnull() | Status.isnull()').index, inplace=True)

Step 2.2 Specify columns we want to import
columns = ['Traffic Report ID', 'Published Date', 'Issue Reported', 'Location', 
            'Address', 'Status', 'Status Date']

df_data = df[columns]
records = df_data.values.tolist()

Step 3.1 Create SQL Servre Connection String
DRIVER = 'SQL Server'
SERVER_NAME = '<Server Name>'
DATABASE_NAME = '<Database Name>'

def connection_string(driver, server_name, database_name):
    conn_string = f"""
    return conn_string

Step 3.2 Create database connection instance
    conn = odbc.connect(connection_string(DRIVER, SERVER_NAME, DATABASE_NAME))
except odbc.DatabaseError as e:
    print('Database Error:')    
except odbc.Error as e:
    print('Connection Error:')

Step 3.3 Create a cursor connection and insert records

sql_insert = '''
    INSERT INTO Austin_Traffic_Incident 
    VALUES (?, ?, ?, ?, ?, ?, ?, GETDATE())

    cursor = conn.cursor()
    cursor.executemany(sql_insert, records)
except Exception as e:
    print('Task is complete.')

python sql

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