Pipeline Execution Errors

Transformation Script Errors

• Symptom: Your pipeline fails during execution, showing errors related to transformation scripts (e.g., syntax errors, missing dependencies).
• Solution:
  • Double-check the transformation script (transform.py) for any syntax errors or unresolved variables.
  • Ensure that all necessary dependencies are listed in the requirements.txt file. You can test locally by creating a virtual environment and running the script with the specified dependencies.

Missing Dependencies in the Environment

• Symptom: The pipeline fails due to missing dependencies or incompatible versions.
• Solution:
  • Verify that your requirements.txt includes all libraries used in the transformation script. Be specific with version numbers if required for compatibility.
  • Update the requirements.txt file in the pipeline settings, then the pipeline fetches automatially latest dependencies to ensure all dependencies are installed.

Data Schema Mismatches

• Symptom: The pipeline errors out or produces unexpected results due to data schema mismatches between input and output.
• Solution:
  • Verify the schema of the input data matches the expected structure within your transformation function.
  • If you’re using nested or complex data structures, consider adding validation steps in your script to catch schema issues early on.
  • Test with a small subset of data locally to confirm the schema before deploying the full pipeline.