Severe Memory Usage Spikes When Using RxJS with Angular for Large Data Streams
I'm sure I'm missing something obvious here, but I'm experiencing significant memory usage spikes in my Angular application that utilizes RxJS for handling large streams of data... The application fetches a list of user activities from an API endpoint, and as the number of items grows (around 50,000 records), I notice a drastic increase in memory consumption, often leading to a browser crash. I have tried implementing `async` pipes and unsubscribing from observables, but the problem persists. Here's a simplified version of my code: ```typescript import { Component, OnInit } from '@angular/core'; import { HttpClient } from '@angular/common/http'; import { Observable } from 'rxjs'; import { map, tap } from 'rxjs/operators'; @Component({ selector: 'app-activity-list', template: ` <div *ngFor="let activity of activities$ | async"> {{ activity.description }} </div> ` }) export class ActivityListComponent implements OnInit { activities$: Observable<Activity[]>; constructor(private http: HttpClient) {} ngOnInit() { this.activities$ = this.http.get<Activity[]>('https://api.example.com/activities') .pipe( tap(activities => console.log('Fetched activities:', activities.length)), map(activities => activities.slice(0, 100)) // Limit for initial rendering ); } } ``` I also experimented with using `trackBy` in my `ngFor` to minimize re-renders: ```html <div *ngFor="let activity of activities$ | async; trackBy: trackById"> {{ activity.description }} </div> trackById(index: number, activity: Activity) { return activity.id; } ``` Despite these optimizations, the memory footprint keeps increasing with more activities being processed. I’m using Angular 12.2.0 with RxJS 7.4.0. I also checked Chrome’s Performance tab and noticed that the garbage collector runs frequently, but it doesn't seem to reclaim the memory properly. Is there a better way to handle large streams or any specific RxJS operators that could help in reducing memory usage? Has anyone dealt with something similar?