kedro.runner.SequentialRunner¶

class kedro.runner.SequentialRunner[source]¶

SequentialRunner is an AbstractRunner implementation. It can be used to run the Pipeline in a sequential manner using a topological sort of provided nodes.

__init__()¶: Initialize self. See help(type(self)) for accurate signature.

Methods

`create_default_data_set`(ds_name, max_loads)	Factory method for creating the default data set for the runner.
`run`(pipeline, catalog)	Run the `Pipeline` using the DataSet``s provided by ``catalog and save results back to the same objects.
`run_only_missing`(pipeline, catalog)	Run only the missing outputs from the `Pipeline` using the DataSet``s provided by ``catalog and save results back to the same objects.