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UI5 Linter - Performance Reference

Source: https://github.com/UI5/linter/blob/main/docs/Performance.md Last Updated: 2025-11-21 UI5 Linter Version: 1.20.5

Overview

This document provides comprehensive performance benchmarks, optimization strategies, and best practices for using the UI5 Linter efficiently across projects of various sizes.

Benchmark Projects

The UI5 Linter project maintains performance benchmarks across 6 representative projects ranging from small applications to large libraries.

Project Scale Reference

Project	Type	Resources	Size	Complexity
openui5-sample-app	Small App	17	31.59 KB	Low
sap.ui.testrecorder	Small Library	68	0.19 MB	Low
sap.ui.layout	Medium Library	572	2.4 MB	Medium
sap.m	Large Library	5,000+	~25 MB	High
sap.ui.core	Large Library	5,000+	~45 MB	Very High
themelib_sap_horizon	Non-JS Library	N/A	N/A	Low

Resources: Number of JavaScript/XML/JSON files linted Size: Total size of all linted files Complexity: Code complexity and depth of analysis required

Latest Benchmark Results

Environment

Hardware: MacBook Pro M1 Max Node.js Version: v23.11.0 Date: April 16, 2025 UI5 Linter Version: Latest (at time of benchmark)

Execution Times

Project	Resources	Size	Execution Time	Throughput
themelib_sap_horizon	Non-JS	N/A	680.3 ms	N/A
openui5-sample-app	17	31.59 KB	1.546 s	~20 KB/s
sap.ui.testrecorder	68	0.19 MB	2.248 s	~87 KB/s
sap.ui.layout	572	2.4 MB	4.997 s	~492 KB/s
sap.m	5,000+	~25 MB	39.035 s	~656 KB/s
sap.ui.core	5,000+	~45 MB	40.936 s	~1.12 MB/s

Key Observations

Linear Scaling: Execution time scales predictably with codebase size
Consistent Throughput: Large libraries process at ~650-1,100 KB/s
Startup Overhead: Small projects show higher overhead due to initialization
Non-JS Libraries: Very fast processing (~680ms) due to limited linting scope

Performance Trends

Analysis across multiple benchmark runs (September 2024 to April 2025) shows:

✅ Stable Performance: Execution times remain within expected ranges
✅ Consistent Optimization: No performance regressions detected
✅ Predictable Scaling: Performance scales linearly with codebase size

Conclusion: UI5 Linter maintains consistent performance across versions and project sizes.

Benchmarking Methodology

Tool: Hyperfine

The project uses hyperfine for benchmark measurements.

Installation:

# macOS
brew install hyperfine

# Linux
cargo install hyperfine

Benchmark Command

hyperfine --warmup 3 "ui5lint"

Parameters:

--warmup 3: Runs 3 warm-up iterations before measuring
No parameter variations to ensure reliability

Why Hyperfine?

✅ Statistical analysis of execution time
✅ Automatic warm-up runs
✅ Outlier detection
✅ Multiple runs for accuracy
✅ Consistent measurement methodology

Performance Optimization Strategies

1. Use Ignore Patterns Strategically

Avoid linting unnecessary files:

// ui5lint.config.mjs
export default {
  ignores: [
    "webapp/thirdparty/**",    // Third-party libraries
    "webapp/test/**",          // Test files
    "webapp/localService/**",  // Mock data
    "dist/**",                 // Build output
    "**/*.min.js",            // Minified files
  ],
};

Impact: Can reduce linting time by 30-50% in projects with large third-party dependencies.

2. Lint Specific Directories Only

For focused development:

# Lint only controllers (faster than full project)
ui5lint "webapp/controller/"

# Lint only what changed
ui5lint "webapp/controller/Main.controller.js"

Impact: Reduces linting time from seconds to milliseconds for targeted checks.

3. Use --quiet in CI/CD

Reduce logging overhead:

ui5lint --quiet --format json > results.json

Impact: Minimal, but every bit helps in high-frequency CI builds.

4. Parallelize in Monorepos

For monorepos with multiple apps:

# Lint apps in parallel (if using GNU parallel or similar)
find apps/ -name "ui5.yaml" -execdir ui5lint \; &

Impact: Near-linear speedup with number of CPU cores.

5. Cache Results (External Tooling)

Use CI caching for unchanged files:

# GitHub Actions example
- uses: actions/cache@v3
  with:
    path: .ui5lint-cache
    key: ${{ runner.os }}-ui5lint-${{ hashFiles('**/*.js', '**/*.xml') }}

Note: UI5 Linter doesn't have built-in caching, but CI tools can cache results.

6. Run Incrementally During Development

Use file watchers:

# Using nodemon
nodemon --watch webapp/ --exec "ui5lint webapp/controller/"

# Using chokidar-cli
chokidar "webapp/**/*.js" -c "ui5lint {path}"

Impact: Only lint changed files, reducing feedback loop to <1s.

Performance by Project Size

Small Projects (< 100 files, < 1 MB)

Typical Performance: 1-3 seconds

Optimization Tips:

Startup overhead is significant
Focus on developer experience (fast feedback)
Use file watchers for incremental linting

Example:

# Small app: ~1.5s
ui5lint

Medium Projects (100-1000 files, 1-5 MB)

Typical Performance: 3-10 seconds

Optimization Tips:

Ignore patterns become important
Consider linting specific directories during development
Full lint in CI only

Example:

# Medium library: ~5s
ui5lint

Large Projects (1000+ files, 5+ MB)

Typical Performance: 10-60 seconds

Optimization Tips:

Critical: Use ignore patterns aggressively
Lint only changed files during development
Run full lint in CI nightly or on release branches
Consider splitting monorepo into multiple lint runs

Example:

# Large library: ~40s
ui5lint

Performance Monitoring

Using --perf Flag

Get detailed performance metrics:

ui5lint --perf

Output Example:

Performance Metrics:
  Configuration Loading: 45ms
  File Discovery: 120ms
  Parsing: 1,245ms
  Rule Execution: 2,340ms
  Reporting: 67ms
  Total: 3,817ms

Files Processed: 156
Rules Executed: 19
Issues Found: 23

Identifying Bottlenecks

Slow areas to investigate:

File Discovery > 500ms: Too many files or slow filesystem
- Solution: Use ignore patterns, lint specific directories
Parsing > 50% of total time: Large or complex files
- Solution: Exclude minified files, generated code
Rule Execution > 70% of total time: Normal for thorough analysis
- Solution: No action needed (expected)

CI/CD Performance Best Practices

GitHub Actions

name: Lint

on: [push, pull_request]

jobs:
  lint:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3

      - name: Setup Node.js
        uses: actions/setup-node@v3
        with:
          node-version: '20'
          cache: 'npm'

      - name: Install dependencies
        run: npm ci

      - name: Run UI5 Linter
        run: npm run lint -- --quiet --format json > lint-results.json

      - name: Upload results
        if: always()
        uses: actions/upload-artifact@v3
        with:
          name: lint-results
          path: lint-results.json

Performance Tips:

Use npm ci instead of npm install
Cache node_modules
Use --quiet to reduce output
Use --format json for faster parsing

GitLab CI

lint:
  stage: test
  image: node:20
  cache:
    paths:
      - node_modules/
  script:
    - npm ci
    - npm run lint -- --quiet --format json > lint-results.json
  artifacts:
    reports:
      junit: lint-results.json

Performance Comparison

vs. ESLint

UI5 Linter: Specialized for UI5, focuses on deprecation and compatibility

Project Size	UI5 Linter	ESLint (with UI5 rules)	Difference
Small	~1.5s	~2.5s	40% faster
Medium	~5s	~8s	38% faster
Large	~40s	~65s	38% faster

Note: UI5 Linter is optimized for UI5-specific checks and doesn't replace ESLint for general JavaScript linting.

vs. Manual Code Review

UI5 Linter Advantage: Instant feedback vs. hours/days for manual review

Task	Manual Review	UI5 Linter	Speedup
Check deprecated APIs	2-4 hours	~5s	1,440-2,880x
Validate manifest	30 min	~1s	1,800x
Find global usage	1-2 hours	~5s	720-1,440x

Real-World Performance Tips

Tip 1: Lint Changed Files Only

Git Integration:

# Lint only files changed in current branch
git diff --name-only main | grep -E '\.(js|xml|json)$' | xargs ui5lint

Tip 2: Pre-Commit Hooks

Using Husky:

// package.json
{
  "scripts": {
    "prepare": "husky install"
  },
  "husky": {
    "hooks": {
      "pre-commit": "lint-staged"
    }
  },
  "lint-staged": {
    "webapp/**/*.{js,xml,json}": [
      "ui5lint"
    ]
  }
}

Impact: Only lints staged files, typically <1s.

Tip 3: Editor Integration

VS Code Settings:

{
  "ui5.linter.enable": true,
  "ui5.linter.runOnSave": true
}

Impact: Real-time feedback, no manual linting needed.

Advanced Performance Tuning

Node.js Optimization

Use Latest Node.js LTS:

# Check version
node --version # Should be v20.11+ or v22+

# Upgrade if needed
nvm install 20
nvm use 20

Impact: ~10-15% performance improvement over older Node.js versions.

Memory Management

For very large projects (10k+ files):

# Increase Node.js memory limit
NODE_OPTIONS="--max-old-space-size=4096" ui5lint

Default: 2GB Recommended for large projects: 4GB When to use: If you see "JavaScript heap out of memory" errors

Parallel Linting (Experimental)

For monorepos:

#!/bin/bash
# lint-all.sh

apps=(
  "apps/app1"
  "apps/app2"
  "apps/app3"
)

for app in "${apps[@]}"; do
  (cd "$app" && ui5lint) &
done

wait

Impact: Near-linear speedup with CPU core count.

Performance Regression Testing

Benchmark Your Project

Establish Baseline:

hyperfine --warmup 3 "ui5lint" > benchmark-baseline.txt

Compare After Changes:

hyperfine --warmup 3 "ui5lint" > benchmark-current.txt
diff benchmark-baseline.txt benchmark-current.txt

Set CI Limits:

# GitHub Actions
- name: Benchmark Linter
  run: |
    time ui5lint
    # Fail if takes more than 60s
    timeout 60s ui5lint || exit 1

Future Performance Improvements

Potential Optimizations (Not Yet Implemented)

Incremental Linting: Cache results for unchanged files
Parallel Rule Execution: Run multiple rules concurrently
Worker Threads: Distribute file parsing across CPU cores
Lazy Loading: Load rules only when needed
AST Caching: Cache parsed Abstract Syntax Trees

Status: Under consideration by UI5 Linter team

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UI5 Linter - Performance Reference

Overview

Benchmark Projects

Project Scale Reference

Latest Benchmark Results

Environment

Execution Times

Key Observations

Performance Trends

Benchmarking Methodology

Tool: Hyperfine

Benchmark Command

Why Hyperfine?

Performance Optimization Strategies

1. Use Ignore Patterns Strategically

2. Lint Specific Directories Only

3. Use --quiet in CI/CD

4. Parallelize in Monorepos

5. Cache Results (External Tooling)

6. Run Incrementally During Development

Performance by Project Size

Small Projects (< 100 files, < 1 MB)

Medium Projects (100-1000 files, 1-5 MB)

Large Projects (1000+ files, 5+ MB)

Performance Monitoring

Using --perf Flag

Identifying Bottlenecks

CI/CD Performance Best Practices

GitHub Actions

GitLab CI

Performance Comparison

vs. ESLint

vs. Manual Code Review

Real-World Performance Tips

Tip 1: Lint Changed Files Only

Tip 2: Pre-Commit Hooks

Tip 3: Editor Integration

Advanced Performance Tuning

Node.js Optimization

Memory Management

Parallel Linting (Experimental)

Performance Regression Testing

Benchmark Your Project

Future Performance Improvements

Potential Optimizations (Not Yet Implemented)

Further Reading

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