Principle:Kubeflow Pipelines Conditional Branching
| Sources | Domains | Last Updated |
|---|---|---|
| KFP Control Flow | ML_Pipelines, Control_Flow | 2026-02-13 |
Overview
A control flow pattern that gates the execution of pipeline tasks based on the runtime output of a preceding task.
Description
Conditional branching allows portions of a pipeline to execute only when a specified condition is met. The condition compares a task's output (a PipelineChannel) against a value using comparison operators (==, !=, >, <, >=, <=). Tasks within a conditional block only run when the condition evaluates to true. Conditions can be nested for AND-like logic, and multiple branches can implement if-else patterns.
Usage
Use when pipeline execution should differ based on runtime results — for example, executing different processing paths based on data quality checks, model type, or random decisions (A/B testing).
Theoretical Basis
Branch execution in DAG-based workflow systems. The condition node evaluates a boolean predicate and enables/disables downstream subgraphs. Nesting conditions creates conjunction (AND) logic. Disjoint conditions on the same output create branching paths.