[Python] Efficiently import large Excel files into PostgreSQL with high accuracy

Discussão em 'Python' iniciado por Stack, Junho 2, 2025.

  1. Stack

    Stack Membro Participativo

    I’m building a utility to import data from Excel files into a PostgreSQL database.

    My main goals are:

    High accuracy – Ensure all records are correctly parsed and stored without data loss or corruption.

    Performance – Handle large Excel files quickly, minimizing the time it takes to import bulk data.

    I’m open to using any suitable language or framework (e.g., Python, Java, .NET, etc.), but I’d prefer something that has strong support for both Excel parsing and PostgreSQL integration.

    Some additional considerations:

    Are there libraries or tools that support fast, bulk inserts into Postgres?

    How can I validate and clean data efficiently during import?

    Any best practices to avoid common pitfalls with large dataset imports?

    Any suggestions on technologies, libraries, or patterns that can help achieve this would be greatly appreciated.

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