Question 1

How to use rxjava-extras for disk buffering in RxJava?

Accepted Answer

Use Transformers.onBackpressureBufferToFile with a DataSerializer, like DataSerializers.string(), and configure options such as rolloverEvery to manage disk space. This buffers items to file when downstream processing is slow.

Question 2

What's the difference between rxjava-extras and standard RxJava operators?

Accepted Answer

Rxjava-extras adds utilities not in core RxJava, such as disk buffering, advanced retry logic, and testing helpers. It's designed for niche use cases like handling backpressure with file storage.

Question 3

RxJava-extras or RxJava2-extras: which one should I choose?

Accepted Answer

Choose rxjava-extras if you're on RxJava 1; for RxJava 2 or later, use rxjava2-extras. The libraries are version-specific to maintain compatibility with their respective RxJava releases.

Question 4

How to implement retry with exponential backoff using rxjava-extras?

Accepted Answer

Use the RetryWhen.builder with exponentialBackoff method, specifying initial delay, max delay, and time unit. Add maxRetries or exception filters for customization, as shown in the README examples.

Question 5

Can rxjava-extras handle checked exceptions more easily?

Accepted Answer

Yes, the Checked class provides lambda helpers like Checked.a1 to wrap checked exceptions in runtime exceptions, reducing try-catch boilerplate in RxJava chains.

Question 6

Is rxjava-extras good for testing RxJava operators with backpressure?

Accepted Answer

Absolutely. TestingHelper.test() automates backpressure scenarios with varied initial requests and unsubscribe checks, making it easier to validate operator behavior under different conditions.

Question 7

How to serialize observable data to files with rxjava-extras?

Accepted Answer

Use Serialized.write to persist observables to files, with support for standard Java serialization or Kryo for better performance. Configure with custom serializers if needed.

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