Performance optimization techniques
This guide covers advanced performance optimization techniques for Aurelia applications, including framework-specific optimizations, build configuration, and best practices for high-performance applications.
Framework-Specific Optimizations
Task Queue Performance
The Aurelia task queue provides several performance optimization features:
Task Batching
Batch DOM updates to improve rendering performance:
import { batch } from 'aurelia';
// Batch multiple DOM updates in a single frame
batch(() => {
// both assignment will not immediately trigger rerendering
component.prop = someValue;
component2.prop = someOtherValue;
});
// With mordern browser implementation, normally all DOM changes execute in the same task
// and without triggering layout-ing or reflow unless there's a DOM property read in between
// that triggers those.
element1.style.left = '100px';
element2.style.top = '200px';
element3.textContent = 'Updated';State Management Performance
Memoization System
Use the built-in memoization system for expensive computations:
Shared Memoization
Share memoized selectors across components for better performance:
Computed Observer Performance
Sync vs Async Flush Modes
Choose the appropriate flush mode for computed properties:
Computed Property Optimization
Optimize computed properties for better performance:
Manual computed dependencies declaration
Read more on @computed decorator here.
Watch Performance Optimization
Efficient Watch Expressions
Use efficient watch expressions to minimize performance impact:
Watch Flush Timing
Control when watch callbacks execute:
Binding Behaviors for Performance
Throttle Binding Behavior
Limit how often a binding updates, useful for expensive operations triggered by user input:
Debounce Binding Behavior
Delay binding updates until user stops typing, ideal for search-as-you-type:
Performance Tips:
Use throttle for continuous events (scroll, mousemove, resize)
Use debounce for discrete user input (typing, form fields)
Throttle allows periodic updates; debounce waits for quiet period
Default delay is 200ms if not specified
Virtual Repeat Performance
Optimize Virtual Repeat for Large Collections
Configure virtual-repeat inline for optimal performance with large datasets:
Virtual Repeat with Variable Heights
For items with varying heights, enable the variable-height option:
Performance Note: Variable sizing has more overhead than fixed sizing. Use fixed heights when possible for best performance.
Build Optimization
Bundle Size Optimization
Tree Shaking Configuration
Configure your bundler for optimal tree shaking:
Selective Imports
Import only what you need from Aurelia packages:
Code Splitting
Route-Based Code Splitting
Split your application by routes for better loading performance:
Component-Based Code Splitting
Split large components into separate chunks:
Production Optimization
Minification and Compression
Configure production builds for optimal performance:
Service Worker Integration
Implement caching strategies for better performance:
Memory Management
Component Cleanup
Proper Event Listener Cleanup
Subscription Management
Memory Leak Prevention
Avoid Circular References
WeakMap for Metadata
Use WeakMap for storing metadata that should be garbage collected:
Observable Batching
Batch Multiple State Changes
When making multiple property changes, use batch() to combine them into a single change notification:
Batch Array Mutations
Batch multiple array operations to prevent repeated re-renders:
Performance Benefits:
Reduces the number of change notifications
Prevents unnecessary intermediate UI updates
Particularly effective when updating multiple related properties
Essential for bulk data operations
Large Data Handling
Pagination Strategies
Virtual Pagination
Infinite Scroll
Data Streaming
Streaming Large Datasets
Performance Monitoring
Runtime Performance Profiling
Performance Metrics Collection
Real-World Performance Scenarios
Scenario 1: Optimized Data Grid
Build a high-performance data grid with 10,000+ rows:
Performance Features Used:
debounceprevents filtering on every keystrokevirtual-repeatrenders only visible rows@computedwith explicit deps caches filter resultsFixed
item-heightenables optimal scrolling
Scenario 2: Real-Time Dashboard Updates
Handle high-frequency updates efficiently:
Performance Features Used:
batch()combines multiple updates into one notificationPersistent task with delay for regular updates
Task cancellation on component detach prevents leaks
Scenario 3: Image Gallery with Lazy Loading
Optimize large image galleries:
Performance Features Used:
variable-heighthandles different aspect ratiosNative lazy loading with
loading="lazy"Task queue prevents UI blocking during data loading
Chunked loading for progressive rendering
Scenario 4: Complex Form with Validation
Optimize forms with many fields:
Performance Features Used:
debounceon inputs reduces validation frequencybatch()when loading initial form dataAsync flush for validation computation
Object.assign for efficient property updates
Best Practices Summary
1. Framework Usage
Use
batchfor array mutation operationsImplement memoization with
createStateMemoizerfor expensive state computationsChoose appropriate flush modes (
syncorasync) for computed propertiesOptimize watch expressions and prefer computed properties
Use
throttlefor continuous events,debouncefor discrete user inputEnable
deepobservation only when needed for nested objects
2. Memory Management
Always clean up event listeners and subscriptions in
detaching()Use WeakMap for metadata storage that should be garbage collected
Avoid circular references or use explicit cleanup
Cancel persistent tasks when components detach
Monitor memory usage during development
3. Data Handling
Implement virtual-repeat for lists with 100+ items
Use fixed
item-heightfor best virtual-repeat performanceEnable
variable-heightonly when necessaryUse pagination or infinite scroll for large datasets
Process data in batches with
batch()to avoid blocking the UIStream large datasets when possible using task queue
4. Binding Optimization
Use
debounceon form inputs (300-500ms for text, 200ms for other fields)Use
throttleon scroll/resize/mousemove handlers (100-200ms)Batch multiple observable changes with
batch()Prefer
@computedwith explicitdepsover complex expressions in templatesUse
flush: 'async'(default) unless immediate updates are critical
5. Build Optimization
Configure tree shaking properly in your bundler
Use code splitting for routes and large components
Optimize bundle size with selective imports
Implement service worker caching for production apps
Minify and compress assets
6. Performance Monitoring
Monitor component lifecycle performance
Track memory usage patterns with browser DevTools
Use performance metrics to identify bottlenecks
Test with realistic data volumes
These optimization techniques will help you build high-performance Aurelia applications that scale well and provide excellent user experiences.
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