Implementation:Kubeflow Pipelines Cache Key Protobuf

Knowledge Sources	Kubeflow_Pipelines Protocol Buffers
Domains	Pipeline_Caching, API_Schema
Last Updated	2026-02-13 14:00 GMT

Overview

Auto-generated Go protobuf bindings defining the cache key schema used to compute deterministic cache fingerprints for KFP pipeline steps.

Description

The cache_key.pb.go file contains Go struct types generated by `protoc-gen-go` (v1.36.6) from `cache_key.proto`. It defines the data structures used to compute cache keys for pipeline task outputs, enabling the caching subsystem to determine whether a step has been previously executed with identical inputs. The file contains 8 message types and no enums or services.

Usage

This file is imported by the KFP backend cache server to serialize and compare cache key structures. It is not directly used by end users but is essential for the pipeline caching mechanism.

Code Reference

Source Location

• Repository: Kubeflow_Pipelines
• File: api/v2alpha1/go/cachekey/cache_key.pb.go
• Lines: 1-330

Signature

package cachekey

// CacheKey represents the deterministic fingerprint for a pipeline task.
// Contains 8 message types for cache key computation.
// Generated from cache_key.proto by protoc-gen-go v1.36.6.

Import

import "github.com/kubeflow/pipelines/api/v2alpha1/go/cachekey"

I/O Contract

Inputs

Name	Type	Required	Description
Proto descriptor	[]byte	Yes	Raw protobuf descriptor bytes for cache_key.proto

Outputs

Name	Type	Description
Go types	structs	8 generated message types for cache key computation
File descriptor	protoreflect.FileDescriptor	Protobuf file reflection descriptor

Usage Examples

Accessing Cache Key Types

package main

import (
    "github.com/kubeflow/pipelines/api/v2alpha1/go/cachekey"
    "google.golang.org/protobuf/proto"
)

// Create and serialize a cache key for comparison
func computeCacheKey(taskSpec []byte) ([]byte, error) {
    key := &cachekey.CacheKey{
        // Populate fields from task specification
    }
    return proto.Marshal(key)
}

Related Pages

• Environment:Kubeflow_Pipelines_KFP_Backend_Deployment