Introduction
Get Started
conda
venv
pipenv
git
conf/
data
src
Tutorial
kedro install
csv
xlsx
Kedro Project Setup
kedro run
KedroSession
mini-kedro
Data Catalog
*_args
version
IncrementalDataSet
Nodes and Pipelines
SequentialRunner
ParallelRunner
Extend Kedro
_load
fsspec
_save
_describe
PartitionedDataSet
click
global
project
Logging
anyconfig
Development
virtualenv
Deployment
DataCatalog
kedro airflow
Tools Integration
conf/base/spark.yml
SparkSession
MemoryDataSet
DataFrame
copy_mode="assign"
ThreadRunner
context
session.run()
kedro jupyter notebook
session
catalog
startup_error
FAQs
Resources
KedroContext
API Docs
Description
kedro.runner provides runners that are able to execute Pipeline instances.
kedro.runner
Pipeline
Classes
kedro.runner.AbstractRunner([is_async])
kedro.runner.AbstractRunner
AbstractRunner is the base class for all Pipeline runner implementations.
AbstractRunner
kedro.runner.SequentialRunner([is_async])
kedro.runner.SequentialRunner
SequentialRunner is an AbstractRunner implementation.
kedro.runner.ParallelRunner([max_workers, …])
kedro.runner.ParallelRunner
ParallelRunner is an AbstractRunner implementation.
kedro.runner.ThreadRunner([max_workers, …])
kedro.runner.ThreadRunner
ThreadRunner is an AbstractRunner implementation.