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Understanding RxJava Zip Operator With Example

Last Updated : 25 Aug, 2021

According to the official RxJava documentation "Zip combines the emissions of several Observables using a given function and emits single items based on the outcomes of this function for each combination". The zip operator enables us to obtain results from several observables at the same time.

👁 Image
Image 1. Understanding the Zip Structure.

Assume we have the following two network observables: GfGCoursesData - A network observable that yields a list of courses offered at Geeks for Geeks. GfGDSA - A network observable that returns a list of Geeks for Geeks Data Structure Courses

GfFCourses have noticed the following:

GFGDSA is as follows:

And here is our NetworkService:

As an example, consider the following observer:

A utility tool for identifying courses that are in common.

Let's put it all together to obtain a better understanding of the zip operator.

Summary

First, we make two network requests (simultaneously because we're using Zip Operator), and then we select the courses of DSA which are part of the main courses. Both network calls are executed in parallel by zipping two observables with the RxJava Zip operator. When both observables have finished, we obtain the outcome of both. We obtain the outcomes of both observables at the same time in this manner.

Conclusion with some Advantages of RxZip

  • Run all jobs in parallel if Schedulers are appropriately assigned to each observable.
  • When all of the jobs have been finished, return the results of all of them in a single callback.
  • We may utilize the RxJava Zip Operator to solve the intriguing problem this way.
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