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A trigger fires a run automatically. Triggers live on database steps—not on roots, not on transforms. When a database is triggered, the platform refreshes its ancestor closure: every step that contributes to that database.

Trigger types

Triggers are configured from the database step’s inspector. A single database can carry one schedule trigger plus the implicit manual one.

Cascade

Triggers aren’t the only way runs start. When an upstream database is refreshed, every downstream pipeline that reads from it cascades automatically. This is configuration-free—wire the data_read step to the upstream database and the dependency is tracked from then on. Cascades are debounced and idempotent: rapid upstream refreshes coalesce into a single downstream run, and unchanged refreshes are skipped (see Runs for cascade events).

Schedule mechanics

Schedules run in the platform’s worker, not in your browser. Each fire creates a Run scoped to the triggered database’s ancestor closure. Schedules continue to fire even if a previous run is still in progress; if you don’t want overlap, set the interval longer than the run takes.

Disabling a trigger

You can pause a trigger from the database step inspector. A paused trigger stays configured but does not fire until you resume it. Cascade is paused by suppressing the downstream data_read or the database itself.