Convert Parquet, Avro, ORC & Feather via ParquetReader to JSON
This workflow receives files in Parquet, Avro, ORC, or Feather format via Webhook and uses an online API to convert them into JSON format. It automates the processing of complex binary big data files, simplifies data preprocessing, lowers the technical barrier, and is suitable for data analysis, ETL processes, and development teams, enhancing data utilization efficiency. Users can easily upload files and quickly obtain the parsed JSON data, supporting various application scenarios and facilitating data-driven decision-making and system integration.
Workflow Name
Convert Parquet, Avro, ORC & Feather via ParquetReader to JSON
Key Features and Highlights
This workflow receives uploaded files in Parquet, Avro, ORC, or Feather formats via a Webhook, then calls the ParquetReader online API to convert them into JSON format. It parses the returned JSON data along with metadata, facilitating subsequent processing and integration. Supporting multiple big data file formats, the conversion process is fully automated and highly efficient.
Core Problems Addressed
Handling complex binary big data file formats such as Parquet, Avro, ORC, and Feather traditionally involves high difficulty in reading and parsing, with heavy tool dependencies. This workflow simplifies the data preprocessing stage by leveraging a third-party API to unify file format conversion into JSON, significantly lowering technical barriers and improving data utilization efficiency.
Use Cases
- Converting big data storage files into easily manageable JSON format for data analysis and BI scenarios
- Automating multi-format file conversion in ETL pipelines to serve downstream services
- Development teams or data engineers needing rapid integration of diverse big data file formats
- Any automated process requiring file uploads via HTTP interface and retrieval of parsed data
Main Workflow Steps
- Trigger the workflow via a Webhook node to receive uploaded binary files (Parquet, Avro, ORC, or Feather)
- Use an HTTP Request node to POST the file in multipart/form-data format to the ParquetReader online API
- Receive a JSON string from the API containing data, schema, and metadata
- Parse the JSON string into usable JSON objects via a Code node
- Output the final parsed JSON data for downstream workflow consumption or direct use
Involved Systems or Services
- n8n built-in Webhook service as the file upload entry point
- Third-party ParquetReader API responsible for file format conversion and parsing
- n8n HTTP Request node for external API interaction
- n8n Code node for custom JSON parsing and processing
Target Users and Value Proposition
- Data engineers, analysts, and developers seeking to simplify big data file format handling
- Automation platform and workflow designers integrating multiple big data file formats
- Technical teams aiming for rapid conversion and parsing of complex data formats via API
- Enterprises and individual users looking to enhance data preprocessing efficiency, reduce conversion time and technical complexity, and improve data utilization
This workflow offers a simple, efficient, and reusable solution to convert mainstream big data file formats into a universal JSON format, empowering data-driven decision-making and business system integration.