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I apologise if this is a bit of a newbie question but thats exactly what I am with Scala. I had this initial for comprehension but I think computing matchedAccounts inside the for comprehension is confusing. Does anyone have an idea of what would be the ideal way of computing it outside of the for comprehension? def view( csReport: JsObject, userAccount: JsObject, brands: Option[List[Brands.Brand]],...

Scala has been with us since the company’s inception, and we are really satisfied with how it served us in all these years. In this article, we want to share our journey with Scala, highlighting the challenges we encountered, the solutions we crafted, and debunking some common myths about Scala based on our experien...

I have a dataframe(let's say originalDf) with 230 columns and 10 rows. I need to split it based on number of columns (say = 150) i.e df1 with 150 columns and df2 with 80 columns. When i merged it back, the columns are merged correctly but i see number of rows as 20. I am using scala and spark (3.2.0). Please suggest the solution....