Learning RxJava - Second Edition

Understanding parallelization

Parallelization (also called parallelism) is a broad term that could encompass the preceding scenario. In effect, you and your friend are executing two tasks at the same time and are thus processing in parallel. But let's apply parallelization to processing multiple identical tasks at the same time. Take, for example, a grocery store that has 10 customers waiting in a line for checkout. These 10 customers represent 10 tasks that are identical. They each need to check out their groceries. If a cashier represents a thread, we can have multiple cashiers to process these customers more quickly. But like threads, cashiers are expensive. We do not want to create a cashier for each customer, but rather pool a fixed ...