Java Multithreading and Parallel Programming Masterclass - Building Parallel Data Pipelines with RxJava2

This lecture provides a hands-on introduction to RX Java, focusing on building parallel data pipelines. It covers setting up RX Java in a Gradle project, creating and managing flowables, and using operators like map and filter for data transformations. The lecture also explains how to wrap data into flowables and implement lazy evaluation. Finally, it introduces parallel processing using the parallel operator and schedulers, demonstrating how to run operations in parallel and merge them back into a sequential flow.

What is the primary purpose of adding RX Java dependencies in the build.gradle file?

• To enable the use of reactive data pipelines

• To enhance the security of Java applications

• To improve the performance of Java applications

• To simplify the syntax of Java code

Which class in RX Java is used to create and manage data pipelines?

• Publisher

• Subscriber

• Observable

• Flowable

What does the 'map' operator do in a Flowable?

• Filters elements based on a condition

• Splits a flow into multiple sub-flows

• Transforms each element in the flow

• Combines multiple flows into one

Which method is used to bring data from a non-reactive source into a Flowable?

• Flowable.create

• Flowable.subscribe

• Flowable.just

• Flowable.fromCallable

What is the advantage of using Flowable.generate for reading file data?

• It reads all data at once for faster processing

• It allows lazy reading of data as needed

• It automatically handles file not found exceptions

• It converts all data to JSON format

What is the role of an emitter in RX Java?

• To consume data from a flow

• To filter data based on conditions

• To push elements into a data flow

• To transform data within a flow

How does the parallel operator in RX Java work?

• It filters elements based on a condition

• It combines multiple flows into one

• It splits a flow into multiple parallel rails

• It creates multiple threads for each element

What is a scheduler in the context of RX Java?

• A tool for managing memory allocation

• A class for creating data flows

• A method for filtering data

• A concept similar to a thread pool

Which scheduler is optimized for CPU-bound work in RX Java?

• Schedulers.newThread

• Schedulers.io

• Schedulers.computation

• Schedulers.single

What is the purpose of the sequential operator in RX Java?

• To filter elements based on a condition

• To transform each element in the flow

• To merge parallel flows into a single sequential flow

• To split a flow into multiple sub-flows