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Version: 1.26.0 (latest)

dlt.extract.incremental.lag

apply_lag​

def apply_lag(lag: float, initial_value: TCursorValue,
              last_value: TCursorValue,
              last_value_func: LastValueFunc[TCursorValue]) -> TCursorValue

View source on GitHub

Applies lag to last_value but prevents it to cross initial_value: observing order of last_value_func

apply_lag_with_suppression​

def apply_lag_with_suppression(
        lag: Optional[float],
        last_value_func: LastValueFunc[TCursorValue],
        initial_value: Optional[TCursorValue],
        end_value: Optional[TCursorValue],
        last_value: Optional[TCursorValue],
        resource_name: Optional[str] = None) -> Optional[TCursorValue]

View source on GitHub

Conditionally apply lag to last_value, mirroring Incremental.last_value rules.

Returns last_value unchanged when:

  • lag is falsy or last_value is None
  • last_value_func is not max or min (logs warning)
  • end_value is set (lag auto-deactivated; logs info)

This demo works on codespaces. Codespaces is a development environment available for free to anyone with a Github account. You'll be asked to fork the demo repository and from there the README guides you with further steps.
The demo uses the Continue VSCode extension.

Off to codespaces!

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