For ParquetReader, this workflow automates the conversion of Parquet, Avro, ORC, and Feather files to JSON format. Triggered by a simple file upload via webhook, it efficiently processes data and returns structured results, making data integration seamless and enhancing workflow productivity.
- Data Engineers: If you're working with large datasets in formats like Parquet, Avro, ORC, or Feather, this workflow simplifies the conversion process to JSON.
- Data Analysts: Easily convert files for analysis and visualization in tools that support JSON.
- Developers: Integrate this workflow into applications requiring automated data processing.
- Business Intelligence Professionals: Streamline data ingestion from various file formats into BI tools that accept JSON.
This workflow addresses the challenge of converting complex file formats like Parquet, Avro, ORC, and Feather into JSON. These formats are commonly used for data storage and processing but can be cumbersome to work with directly in many applications. By automating the conversion process, users can:
- Eliminate manual data transformation efforts.
- Improve data accessibility for analysis and reporting.
- Ensure seamless integration with various data processing tools and platforms.
1. Webhook Trigger: The workflow begins when a file is uploaded via a POST request to the webhook endpoint (e.g., http://localhost:5678/webhook-test/convert). The file can be in any of the supported formats (Parquet, Avro, ORC, Feather).
2. Send to Parquet API: The uploaded file is sent to the ParquetReader API at https://api.parquetreader.com/parquet. The file is sent as multipart/form-data with the field name file.
3. Parse API Response: After the API processes the file, the workflow receives a response containing parsed data, schema, and metadata. The response is then processed to convert any stringified JSON data into actual JavaScript objects for further use in subsequent steps.
- Change the Webhook Path: Modify the path parameter in the webhook node to create a unique endpoint for your application.
- Adjust API URL: If using a different API for conversion, update the url parameter in the Send to Parquet API node.
- Modify Input File Types: To support additional file formats, ensure the API can handle them and adjust the documentation in the Sticky Note accordingly.
- Add Additional Processing Steps: Insert nodes after Parse API Response to further process the JSON data, such as saving to a database or sending it to another service.
- Error Handling: Implement error handling nodes to manage potential issues during the API request or file processing.