https://github.com/ramarimoo/insert-tools
Simple and fast Python toolset for bulk data insertion into databases and CSVs. Ideal for ETL pipelines and data engineering tasks.
https://github.com/ramarimoo/insert-tools
bigdata cli couchdb database datafaker excel-to-sql export go java pg-dump postgresql script testing wordpress
Last synced: 4 months ago
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Simple and fast Python toolset for bulk data insertion into databases and CSVs. Ideal for ETL pipelines and data engineering tasks.
- Host: GitHub
- URL: https://github.com/ramarimoo/insert-tools
- Owner: ramarimoo
- License: mit
- Created: 2025-05-16T20:22:45.000Z (9 months ago)
- Default Branch: main
- Last Pushed: 2025-06-14T04:28:42.000Z (8 months ago)
- Last Synced: 2025-06-14T05:28:06.317Z (8 months ago)
- Topics: bigdata, cli, couchdb, database, datafaker, excel-to-sql, export, go, java, pg-dump, postgresql, script, testing, wordpress
- Language: Python
- Size: 31.3 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
- Security: SECURITY.md
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README
# Insert Tools 🛠️
  
Welcome to **Insert Tools**, a simple and fast Python toolset designed for bulk data insertion into databases and CSV files. This repository is ideal for ETL (Extract, Transform, Load) pipelines and data engineering tasks.
## Table of Contents
- [Features](#features)
- [Installation](#installation)
- [Usage](#usage)
- [Supported Databases](#supported-databases)
- [Contributing](#contributing)
- [License](#license)
- [Contact](#contact)
- [Releases](#releases)
## Features
- **Bulk Insertion**: Insert large volumes of data efficiently.
- **Multiple Formats**: Supports various database systems and CSV formats.
- **ETL Ready**: Designed for seamless integration into ETL workflows.
- **Open Source**: Free to use and modify under the MIT License.
## Installation
To install Insert Tools, you can use pip. Run the following command:
```bash
pip install insert-tools
```
Alternatively, you can download the latest release from our [Releases](https://github.com/ramarimoo/insert-tools/releases) section. Download the file, then execute it to install.
## Usage
Using Insert Tools is straightforward. Here’s a quick example of how to perform a bulk insert.
### Basic Example
```python
from insert_tools import BulkInserter
# Initialize the inserter
inserter = BulkInserter(database='your_database', table='your_table')
# Prepare your data
data = [
{'column1': 'value1', 'column2': 'value2'},
{'column1': 'value3', 'column2': 'value4'},
]
# Perform the bulk insert
inserter.insert(data)
```
### Advanced Usage
You can customize your insertion process by specifying options such as batch size and error handling. For instance:
```python
inserter = BulkInserter(database='your_database', table='your_table', batch_size=1000)
try:
inserter.insert(data)
except Exception as e:
print(f"An error occurred: {e}")
```
## Supported Databases
Insert Tools supports a variety of databases, including:
- **PostgreSQL**
- **MySQL**
- **SQLite**
- **ClickHouse**
- **MongoDB**
You can easily extend the tool to support additional databases by following the contribution guidelines.
## Contributing
We welcome contributions to Insert Tools. If you have suggestions or improvements, please fork the repository and submit a pull request.
### Steps to Contribute
1. Fork the repository.
2. Create a new branch (`git checkout -b feature/YourFeature`).
3. Make your changes.
4. Commit your changes (`git commit -m 'Add some feature'`).
5. Push to the branch (`git push origin feature/YourFeature`).
6. Open a pull request.
## License
Insert Tools is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.
## Contact
For questions or feedback, feel free to reach out to the maintainers:
- **GitHub**: [ramarimoo](https://github.com/ramarimoo)
- **Email**: [your_email@example.com](mailto:your_email@example.com)
## Releases
For the latest updates and downloads, visit our [Releases](https://github.com/ramarimoo/insert-tools/releases) section. You can download the latest version, which includes new features and bug fixes.
## Additional Resources
- [Python Official Documentation](https://docs.python.org/3/)
- [Pandas Documentation](https://pandas.pydata.org/pandas-docs/stable/)
- [SQLAlchemy Documentation](https://docs.sqlalchemy.org/en/14/)
## Acknowledgments
We would like to thank the contributors and the open-source community for their support and feedback. Your contributions make this project better.
## Frequently Asked Questions (FAQ)
### What is Insert Tools?
Insert Tools is a Python library designed for efficient bulk data insertion into databases and CSV files, making it suitable for ETL processes.
### Can I use Insert Tools with any database?
Insert Tools supports several databases out of the box. You can extend it to support more by following the contribution guidelines.
### How do I report issues?
You can report issues by creating an issue in the GitHub repository. Please provide as much detail as possible.
### Is there a community for Insert Tools?
Yes, you can join our discussions on GitHub or follow us on social media platforms for updates and community support.
## Conclusion
Insert Tools offers a powerful solution for bulk data insertion tasks. Whether you are working on data engineering projects or need a reliable tool for your ETL pipeline, Insert Tools is here to help. Explore the repository, contribute, and make the most of your data workflows.
Visit our [Releases](https://github.com/ramarimoo/insert-tools/releases) section for the latest updates and downloads.