The dbt command line interface (CLI) and the corresponding log file (logs/dbt.log) provide the most direct and detailed information for debugging. When a Jinja rendering error occurs, such as a macro being called with missing arguments, dbt generates a traceback. This traceback explicitly states the error, the model file (.sql) where the error occurred, and the exact line number of the problematic macro call. This makes the log output the primary and most efficient resource for pinpointing the source of compilation errors.

B. Inspect the model's compiled SQL code: The error occurs during the Jinja compilation phase. The compiled SQL file in the target/ directory may not be generated or could be incomplete, as the rendering process failed.

C. Check the manifest.json file: The manifest.json file contains the parsed structure and metadata of the dbt project. It does not contain runtime execution details or error tracebacks from a specific dbt run.

D. Examine the runresults.json file: While runresults.json records the final status and the error message for the failed model, it lacks the detailed, line-specific traceback that is readily available in the log output.

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1. dbt Labs Official Documentation

"Debugging errors": "The error message from dbt should point you in the right direction. If you're lucky

it will even include a line number where the error is occurring." This confirms that the primary source for error details

including line numbers

is the message output from the dbt run

which is captured in the logs.

Source: dbt Labs Documentation

Core > dbt-Core fundamentals > dbt-core Developer Hub > Guides > "Debugging errors".

2. dbt Labs Official Documentation

"Logging": "dbt writes events to two different places: stdout (the command line) and a log file (logs/dbt.log). By default

dbt will write INFO-level log messages and above to both of these locations." This establishes the log file as the canonical record of the run's output

including error tracebacks.

Source: dbt Labs Documentation

Core > dbt-Core fundamentals > dbt-core Developer Hub > Reference > "Logging".

3. dbt Labs Official Documentation

"run command": The documentation for the dbt run command details the output users can expect

which includes status updates and error messages for failed models. The example outputs clearly show that errors are printed directly to the console.

Source: dbt Labs Documentation

Core > dbt-Core fundamentals > dbt-core Developer Hub > Reference > dbt-Commands > run.