Feature Request: Add Error Handling and Logging Mechanism

[kreker36barabashka]

Suggestion

While the current implementation provides a great foundation for processing CSV files using TPL Dataflow, it lacks a robust error handling and logging mechanism. This is crucial for a production-level ETL pipeline to handle potential issues, such as:

• Invalid data formats in the CSV files
• Database connection errors during saving records
• General exceptions that may arise during processing

Proposed Enhancements

1. Error Handling: Implement a strategy to manage exceptions in the TransformBlock and ActionBlock. This could include:

   • Logging the error details for each record that fails processing.
   • Optionally, sending these records to a separate error handling block for further analysis or retry mechanisms.

2. Logging: Add logging to track:

   • When records are processed successfully and when they fail.
   • The number of records processed, errors encountered, and other relevant metrics.

Implementing these features would improve the reliability of the data processing pipeline and give users greater insight into its performance.

Benefits

• Enhances the robustness of the application.
• Facilitates easier debugging and monitoring of the data processing workflow.
• Helps maintain data integrity by tracking bad records.