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A package for handling SQL upsert operations with pandas DataFrames

Project description

SQL Upsert

A Python package for handling SQL upsert operations with pandas DataFrames.

Installation

pip install sql_upsert

Usage

from sql_upsert import to_sql_upsert
import pandas as pd
from sqlalchemy import create_engine

# Create engine
engine = create_engine('sqlite:///example.db')

# Create sample DataFrame
df = pd.DataFrame({'id': [1, 2], 'value': ['a', 'b']})

# Write with upsert functionality
to_sql_upsert(df, 'my_table', engine, unique_columns=['id'])

Features

  • Automatic handling of upsert operations
  • Support for custom unique constraints
  • Compatible with any SQLAlchemy supported database
  • Preserves column types when creating tables

Requirements

  • Python >= 3.6
  • SQLAlchemy >= 1.4.0
  • pandas >= 1.0.0

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