satwikmishra11 commented on PR #15624:
URL: https://github.com/apache/datafusion/pull/15624#issuecomment-2786251836

   certainly, thank you for considering my pr @berkaysynnada 
   
   # Automated Performance Benchmarking Solution for Apache DataFusion
   
   ## Objective
   Implement continuous performance monitoring using Conbench to:
   - Catch performance regressions early
   - Enable data-driven optimization decisions
   - Provide historical trend analysis
   
   ---
   
   ## Solution Architecture
   
   ### 1. Automated Benchmark Execution (GitHub Actions)
   
   `.github/workflows/benchmarks.yml`:
   ```yaml
   name: Performance Benchmarks
   
   on:
     push:
       branches: [main]
     pull_request:
       branches: [main]
     schedule:
       - cron: '0 12 * * *'  # Daily runs
   
   env:
     CONBENCH_URL: https://datafusion-conbench.ursa.dev
     CONBENCH_EMAIL: datafusion-...@apache.org
     CONBENCH_PASSWORD: ${{ secrets.CONBENCH_PASSWORD }}
   
   jobs:
     benchmarks:
       runs-on: ubuntu-latest
       steps:
         - uses: actions/checkout@v4
         
         - name: Set up Python
           uses: actions/setup-python@v4
           with:
             python-version: '3.10'
   
         - name: Install dependencies
           run: |
             sudo apt-get install -y cmake
             pip install -e conbench/
             
         - name: Run benchmarks
           run: |
             cd conbench
             conbench run --python-datafusion --capture=no
   2. PR Integration
   .github/workflows/benchmark-comment.yml:
   
   yaml
   Copy
   name: Benchmark Results Comment
   on:
     workflow_run:
       workflows: ["Performance Benchmarks"]
       types:
         - completed
   
   jobs:
     comment:
       runs-on: ubuntu-latest
       steps:
         - uses: actions/github-script@v6
           with:
             script: |
               // GitHub Script implementation
               // Posts comparison link to PR
           env:
             GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
   3. Dashboard Setup
   conbench/docker-compose.yml:
   
   yaml
   Copy
   version: '3'
   services:
     conbench:
       image: conbench/conbench:latest
       ports:
         - "5000:5000"
       environment:
         - CONBENCH_DB_NAME=conbench
         - CONBENCH_DB_USER=postgres
         - CONBENCH_DB_PASSWORD=postgres
         - CONBENCH_DB_HOST=postgres
       depends_on:
         - postgres
   
     postgres:
       image: postgres:13
       environment:
         - POSTGRES_USER=postgres
         - POSTGRES_PASSWORD=postgres
         - POSTGRES_DB=conbench
   4. Benchmark Maintenance
   Example benchmark (conbench/benchmarks/sort.py):
   
   python
   Copy
   from conbench import Benchmark
   
   class SortBenchmark(Benchmark):
       name = "sort"
       
       def run(self, **kwargs):
           ctx = datafusion.SessionContext()
           # Benchmark implementation
           self.record(
               {"time": duration},
               {},
               output=result
           )
   Implementation Checklist
   Secrets Configuration
   
   Add CONBENCH_PASSWORD in GitHub repository secrets
   
   Ensure GITHUB_TOKEN has appropriate permissions
   
   Infrastructure Requirements
   
   Dedicated runner for consistent benchmarking
   
   Conbench instance hosting (cloud/on-prem)
   
   Alert Configuration
   
   Set statistical significance threshold (p < 0.05)
   
   Configure notification channels (Slack/Email)
   
   Expected Outcomes
   Automated Execution
   
   PR-triggered benchmarks
   
   Daily performance snapshots
   
   Historical commit-associated data


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