Export Runs

Export Runs is the execution history — one record per pipeline run, showing start/end time, row counts and success or failure. It is the monitoring and audit surface that confirms the warehouse is fresh and helps diagnose any failed load. Reliable run history is essential for trustworthy BI reporting.

Workflow

Open Export Runs to view the run history.
Filter by pipeline or date to find a specific load.
Open a run to inspect rows exported, duration and status.
Investigate the error detail on any failed run.
Re-trigger the pipeline once the issue is resolved.

Fields reference

Every field on this screen, drawn from the live data model.

Field	Type	Required	Description
Pipeline `pipeline_id`	Link → mfi.dw.pipeline	Yes	Pipeline
Destination `destination_id`	Link → mfi.dw.destination	—	Destination
Provider `provider`	Choice: Google BigQuery, Snowflake, Amazon Redshift, Amazon S3 (Parquet), SFTP (CSV gzip), Generic HTTP POST	—	Provider
Run Started `run_started`	Date & time	—	Run Started
Run Ended `run_ended`	Date & time	—	Run Ended
Duration S `duration_s`	Decimal	—	Duration S
State `state`	Choice: Running, Success, Failed, Partial	—	State
Rows Exported `rows_exported`	Number	—	Rows Exported
Bytes Out `bytes_out`	Number	—	Bytes Out
Watermark Old `watermark_old`	Text	—	Watermark Old
Watermark New `watermark_new`	Text	—	Watermark New
Columns (JSON) `columns_json`	Long text	—	Columns (JSON)
Error Message `error_message`	Text	—	Error Message
Lineage `lineage_ids`	List	—	Lineage

Status lifecycle

Records on this screen move through these statuses:

Running → Success → Failed → Partial

Notes & rules

Model mfi.dw.export.run; one record per pipeline execution.
Captures start/end time, row counts and success/failed status.
Holds error detail for diagnosing load failures.
Confirms warehouse freshness for downstream BI dashboards.

Technical model: mfi.dw.export.run · Record: Data Warehouse Export Run