df-to-rs 0.1.20

A package to upload Pandas DataFrame to Redshift

df_to_rs

df_to_rs is a Python package that provides convenient methods to upload and upsert Pandas DataFrames to Amazon Redshift.

Installation

Install the package using pip:

pip install df_to_rs

Usage

Initialization

from df_to_rs import df_to_rs
import psycopg2

uploader = df_to_rs(
    region_name='ap-south-1',
    s3_bucket='your-s3-bucket',
    aws_access_key_id='your-access-key-id',
    aws_secret_access_key='your-secret-access-key',
    redshift_c=psycopg2.connect(dbname='more', host="hostname.ap-south-1.redshift.amazonaws.com", port=1433, user='username', password='password')
)

Upload DataFrame to Redshift

uploader.upload_to_redshift(df, dest='analytics.ship_pen')

Upsert DataFrame to Redshift

Upsert (insert or update) the DataFrame into a specified destination table in Redshift. Matching rows are identified by the specified columns, and existing rows are deleted before new rows are inserted.

uploader.upsert_to_redshift(df, dest_table='analytics.ship_pen', upsert_columns=['id', 'name'])

License

This project is licensed under the MIT License - see the LICENSE.txt file for details.