Efficiently retrieve and manage data using EseniIa's built-in patterns for modern web development.
Learn how to implement data fetching strategies for REST, GraphQL, or custom APIs with reactive state management.
Leverage built-in caching mechanisms to reduce redundant API calls and improve performance.
Implement seamless pagination workflows with load more and infinite scroll capabilities.
Configure retry strategies with exponential backoff for failed API requests.
Implement real-time data updates with server-sent events and reactive streaming.
const fetchData = async (page) => {
try {
const response = await eseniia.api.get(`/data?page=${page}`);
return {
data: eseniia.cache.getOrSet(`page-${page}`, response.data, {
duration: 60000, // 1 minute caching
strategy: 'stale-while-revalidate'
}),
hasMore: response.headers.get('x-has-more') === 'true'
};
} catch (error) {
eseniia.metrics.logError(error);
throw eseniia.util.formatApiError(error);
}
}
This implementation includes:
Update UI before confirmation with rollback capability
Offload heavy computations to background threads
Implement optimistic concurrency control patterns
Reusable implementations for common data loading scenarios.
const liveData = await eseniia.sse.open('updates')// Open server event stream
liveData.onEvent('update', (data) => {
// Update local state
store.patch(data)
});// Auto-close on error
const loadNextData = async(currentScroll) => {
const { data, hasMore } = await fetchData(currentScroll || 0);
if (hasMore) {
// Append results without replacing current state
return updateStore(state =>({...state, items: [...state.items, ...data]})
}
}
Apply these data fetching techniques to your API interactions using real-world project scenarios.
Start Practising