Performance Optimization
This document lists features and improvements that can be optimized in the Pipeline project.
Feature Enhancements
Context Timeout Control
Issue: Pipeline defines timeout but doesn't use context.WithTimeout to actually control timeout.
Recommendation:
- Use
context.WithTimeoutin Pipeline.Run() to wrap the incoming context - Support timeout control at Stage/Job/Step levels
- Gracefully cancel executing tasks when timeout occurs
Error Retry Mechanism
Issue: Currently any step failure immediately stops the entire Pipeline, no retry mechanism.
Recommendation:
- Add retry configuration at Step level (retry count, retry interval)
- Support exponential backoff retry strategy
- Distinguish between retryable and non-retryable errors
Conditional Execution
Issue: All steps execute, cannot skip steps based on conditions.
Recommendation:
- Support
ifconditional expressions - Support
whenconditions (based on environment variables, file existence, etc.) - Support
allow_failureoption (failure doesn't interrupt Pipeline)
Performance Optimization
Parallel Execution Optimization
Recommendation:
- Optimize resource management during parallel execution
- Support dynamic concurrency adjustment
- Optimize Goroutine pool management
Caching Mechanism
Issue: No caching mechanism, each execution requires rebuilding/downloading.
Recommendation:
- Support file/directory caching
- Support Docker image caching
- Support dependency caching
Resource Limits
Recommendation:
- Support CPU and memory limits
- Support concurrency limits
- Support resource quota management
Best Practices
1. Reasonable Use of Parallel Execution
For independent tasks, use parallel execution:
yaml
stages:
- name: build
run_mode: parallel
jobs:
- name: build-frontend
steps: [...]
- name: build-backend
steps: [...]2. Optimize Docker Image Usage
- Use smaller base images
- Reuse Docker image layers
- Use multi-stage builds
3. Set Reasonable Timeout
Set reasonable timeout based on actual needs:
yaml
timeout: 3600 # 1 hour4. Use Caching
For repeatedly used dependencies, use caching:
yaml
cache:
paths:
- node_modules/5. Optimize Working Directory
- Use fast storage as working directory
- Clean up unnecessary files promptly
- Avoid creating many files on critical paths
