A 3-day bug hunt on a 3-person team costs up to β¬7,200 in lost engineering time. This workshop teaches you to prevent that β unit tests, data tests, and integration tests for PySpark and Databricks Lakeflow, including Spark Declarative Pipelines.
I didn't notice it before, but if you use the default ExecutionContext in Scala with monads applied on the futures, it will not wait for the async code to terminate. It's not the case of custom ExecutionContext which waits. Strange? Let's see why it happens.
The Futures appear as the first element to learn of Scala's asynchronous world. They're quite simple and probably exist in the languages you have been working on before. But they're not the single asynchronous types in Scala because they are accompanied by Promises covered in this post.
When I was reading about the Await implementation in Scala, I found a method called blocking. At that time I've read some articles to understand it but I hadn't a chance to play with it. Now it's the case and I will share my findings with you.
With increasing number of computation power, the parallel computing gained the popularity during the last years. Java's concurrent package is one of the proofs for that. But Scala, even though it's able to work with Java's concurrent features, comes also with its own mechanisms. Futures are one of them.
