dfupsert 0.0.2

"dfupsert" is a Python package for synchronizing pd.DataFrames with databases using seamless dfupsert (insert or update) operations.

dfupsert

Overview

dfupsert is an efficient Python package designed for synchronizing pandas DataFrames with databases using upsert operations (insert or update). It works seamlessly with SQLAlchemy's well-defined table mappings, facilitating a smooth integration between pandas and various databases.

Features

• Streamlined Upsert Operations: Facilitates upserts directly from pandas DataFrames to database tables using SQLAlchemy mappings.

• Wide Database Compatibility: Built on top of SQLAlchemy, it supports a diverse range of database systems.

• Efficient Handling of Large DataSets: Implements chunk-based data processing for optimized performance with large data volumes.

• Customizable and User-Friendly: Offers flexibility in connection types, table mappings, and chunk sizes to accommodate different use cases.

Installation

Install dfupsert using pip:

pip install dfupsert

Usage

from dfupsert import upsert

from pandas import DataFrame

from sqlalchemy import create_engine

from your_application.model import YourTableClass  # Import your SQLAlchemy table class



# Example DataFrame

data = {'column1': [1, 2], 'column2': [3, 4]}

df = DataFrame(data)



# Establish a database connection using SQLAlchemy

engine = create_engine('your-database-connection-string')



# Upsert DataFrame into the database table

upsert(df=df, con=engine, table=YourTableClass, chunksize=1000)

Requirements

• Python 3.x

• pandas

• SQLAlchemy

Contributing

We welcome contributions to the dfupsertgithub project.

License

dfupsert is available under the MIT License. See the MIT or LICENSE file for more details.

Support

For questions and support, please open an issue in the project's GitHub issue tracker.