Spark, Big Data, Processing, Data Engineering, Threads.
thing that spark runs in parallel are the tasks for each stage. This is the lowest granular element within a spark job. Each task takes a thread of JVM and they work on a single partition. Well then where is the problem here? Suppose you are dealing with a situation where you need to load a table