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Reactive Patterns with RxJS for Angular

You're reading from   Reactive Patterns with RxJS for Angular A practical guide to managing your Angular application's data reactively and efficiently using RxJS 7

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Product type Paperback
Published in Apr 2022
Publisher Packt
ISBN-13 9781801811514
Length 224 pages
Edition 1st Edition
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Author (1):
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Lamis Chebbi Lamis Chebbi
Author Profile Icon Lamis Chebbi
Lamis Chebbi
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Table of Contents (19) Chapters Close

Preface 1. Part 1 – Introduction
2. Chapter 1: The Power of the Reactive Paradigm FREE CHAPTER 3. Chapter 2: RxJS 7 – The Major Features 4. Chapter 3: A Walkthrough of the Application 5. Part 2 – A Trip into Reactive Patterns
6. Chapter 4: Fetching Data as Streams 7. Chapter 5: Error Handling 8. Chapter 6: Combining Streams 9. Chapter 7: Transforming Streams 10. Part 3 – Multicasting Takes You to New Places
11. Chapter 8: Multicasting Essentials 12. Chapter 9: Caching Streams 13. Chapter 10: Sharing Data between Components 14. Chapter 11: Bulk Operations 15. Chapter 12: Processing Real-Time Updates 16. Part 4 – Final Touch
17. Chapter 13: Testing RxJS Observables 18. Other Books You May Enjoy

Learning about the reactive pattern for tracking progress

In order to track the progress of the bulk upload, we can call a very useful operator called finalize. The finalize operator allows you to call a function when the Observable completes or errors out.

The idea is to call the finalize operator and execute a function that will calculate the progress. This way, every time an Observable completes, the progress will get updated. This is what the code will look like:

  counter: number = 0;
  uploadProgress: number=0;  
uploadRecipeImages$ = this.uploadedFilesSubject$.pipe(
    switchMap(uploadedFiles => 
     forkJoin(uploadedFiles.map((file: File) =>
      this.uploadService.upload(this.recipeForm.value.id, 
       file).pipe(
        catchError(errors => of(errors)),
    ...
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