Full Reloads
Configure full reloads in Statsig Warehouse Native to recompute experiment and metric data from scratch when source data or definitions change.
Full reloads completely wipe the Staging and Results datasets Statsig has used for previous pulse calculations, and Statsig recalculates results from scratch.
Choose a full reload when Statsig needs to recompute everything, rather than an incremental reload that only appends new data or a metric reload that restates a single metric.
Generally, use full reloads for
- Initial or historical pulse loads.
- Cases where the customer side has lost or dropped data, so incremental reloads have lost state.
- Cases where data changes frequently. For example, a dbt full reload changes historical data due to chargebacks, model changes, or other reasons.
- Cases with complex data dependencies, where a team wants to ensure that the gap between Statsig and internal systems doesn't cause inconsistencies.
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