Spark, Big Data, Processing, Data Engineering, Threads.
threads say 15. So whenever threads will be available it will pick up on job and execute them. val range = 15 for (w <- 0 to range) { val thread = new Thread { override def run { val df = spark.range(100000).toDF("id") df.withColumn("range", lit(1 to 10 toArray))