How do filter and map compare in performance?

How do filter and map compare in performance when processing large arrays?

The performance of filter and map can vary based on the context. Generally, filter creates a new array with elements that pass a test, while map creates a new array with the results of calling a function on every element. If you're processing large arrays, using them in a chain can lead to performance overhead.

Are there any scenarios where one is significantly faster than the other?

Yes, if you're only interested in transforming data, using map alone is faster since it avoids the overhead of filtering. However, if you need to filter out elements, using filter first can be more efficient than mapping all elements and then filtering.

What about memory usage? Does one use more memory than the other?

Both methods create new arrays, so they have similar memory usage patterns. However, if you chain them, the memory footprint can increase as both intermediate arrays are held in memory.

Can you provide a code example to illustrate the difference?

Sure! Here's a simple example:

const numbers = [1, 2, 3, 4, 5];
const filtered = numbers.filter(n => n > 2);
const mapped = filtered.map(n => n * 2);
console.log(mapped); // Output: [6, 8, 10]

This shows how filter and map can be used together.