run-pipeline

Running a Stata pipeline deterministically after refreshing raw data involves executing the master do-file through all stages in dependency order, aborting on the first error, and validating that all expected output artifacts in tables and figures are generated.

A Stata master do-file orchestrates batch execution by running dependent stages in strict dependency order. It enforces reproducibility by aborting on the first error, performing pre-flight checks on raw data, and recording stage timings during the run.

To validate Stata logs and outputs after a batch run, check for error signatures in the generated log files and confirm that expected artifacts exist in the output directories. This validation confirms the pipeline executed successfully without manual inspection.

Yes, Stata pipeline reproducibility requires pre-flight checks to verify the master do-file existence, non-empty raw data directories, and Stata availability. These checks prevent stale outputs and ensure the environment is ready for deterministic execution.

When a Stata do-file pipeline fails on a partial stage, the execution aborts immediately on the first error to prevent dependent stages from running with invalid inputs. You can recover by fixing the failing script and triggering a full rebuild to restore all outputs.