The quickest method involves iterating through them using a basic for
loop:
for (let i = 0; i < arr.length; i++) {
const item = arr[i];
if (item.hasOwnProperty('umra')) {
item.age = item.umra;
delete item.umra;
}
...
}
If the amount of data to process is large, chunking the array and processing it with zero timeouts can help prevent blocking the main thread during a lengthy loop. It's recommended to run intermediate setTimeout
or other asynchronous functions using ngZone.runOutsideAngular
in Angular to avoid triggering change detection:
const CHUNK_LENGTH = 1000;
ngZone.runOutsideAngular(async () => {
for (let i = 0; i < arr.length; i++) {
if (i > 0 && !(i % CHUNK_LENGTH)) {
// new chunk
await null;
}
const item = arr[i];
if (item.hasOwnProperty('umra')) {
item.age = item.umra;
delete item.umra;
}
// ...
}
return arr;
})
.then(arr => {
// .then triggers change detection after runOutsideAngular
})
For smaller chunks, it may be more efficient to switch to utilizing raw for
loops and setTimeout
rather than promises due to their overhead.
Tasks that are computationally intensive should ideally be carried out in web workers. However, in this scenario where there isn't a significant amount of computation and the same number of loop cycles need to be performed after receiving results from a web worker, utilizing web workers may not be necessary.
To optimize the process, it's advisable to reevaluate the necessity of processing objects received from API requests. If substantial processing is required, consider revising the API implementation.