Losing state in your RxJS streams? Learn to build custom operators that carry values through your pipeline, resulting in cleaner, more maintainable code.
#1about 5 minutes
The history and evolution of ReactiveX and RxJS
ReactiveX originated at Microsoft to simplify concurrent programming and evolved into libraries like RxJava at Netflix and the widely used RxJS.
#2about 4 minutes
How pipeable operators changed the RxJS API
RxJS version 5.5 introduced the pipe function, decoupling operators from the observable object and enabling developers to create their own.
#3about 5 minutes
Addressing the challenge of long, unreadable pipelines
Using RxJS extensively in a Node.js backend led to long, unreadable pipelines, which were improved by extracting logic into named functions.
#4about 4 minutes
Preserving state in pipelines using tuples and zip operators
The flatZipMap operator was created to solve the problem of losing access to previous values in a stream by pairing results into a tuple.
#5about 6 minutes
Implementing custom operators with TypeScript generics
Creating a custom operator involves defining a function that returns an OperatorFunction with specific input and output types using TypeScript generics.
#6about 6 minutes
Advanced typing for complex custom operators
Complex operators like flatListFlatMap demonstrate how advanced TypeScript features like ObservableInput and ObservedValueOf are essential for correct type inference.
#7about 28 minutes
Q&A on testing, pitfalls, and contributing
The Q&A session covers unit testing custom operators, handling errors, key differences with RxJava, and how to contribute to open-source RxJS libraries.
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