WebMar 28, 2024 · If test is not NULL and all other are NULL (test1,test2,test3) then it will be one count. Now we have to loop through each table and then find cols like test* then match the above condition then marked that row as one 1 count if it satisfy above condition. I'm pretty new to scala but i thought of the below approach. WebMar 1, 2024 · Then apply your logic to the whole dataset grouping by the file name. Precondition: You must find a way to append the file name to each file Option 2: Load csv files from directory. Then iterate over the files and create a dataframe for each csv. Inside the loop apply your logic to each csv.
scala - How to Loop through multiple Col values in a dataframe to …
WebDec 9, 2024 · There is another interesting way to loop through the DataFrame, which is to use the python zip function. The way it works is it takes a number of iterables, and makes … WebAug 12, 2024 · scala - Iterate each row in a dataframe, store it in val and pass as parameter to Spark SQL query - Stack Overflow Iterate each row in a dataframe, store it in val and pass as parameter to Spark SQL query Ask Question Asked 3 years, 8 months ago Modified 3 years, 5 months ago Viewed 7k times 3 nappy pads for women
Spark scala dataframe for loop - Stack Overflow
WebJul 17, 2024 · @addmeaning I would like to be able to iterate over the schema structure. In your last answer, I can access each element but only when I knew the exact path of the nested field. However, my dataset holds hundreds of fields of nested data. So, if I can hold my own representation of the schema, I thought it would be easier to traverse the … Web76 rows · The Scala collection libraries make this explicit with an abstraction TraversableOnce, which is a common superclass of Traversable and Iterator. As the name … WebJul 26, 2024 · In this tutorial, we’ll take a look at for loops in Scala and their diverse feature set. 2. For Loops. Simply put, a for loop is a control flow statement. It allows executing … nappy pail with lid