How to count occurrences of each distinct value for every column in a dataframe?

Question

edf.select(\"x\").distinct.show() shows the distinct values that are present in x column of edf DataFrame.

Is there an efficient

Answer 1

import org.apache.spark.sql.functions.countDistinct

df.groupBy("a").agg(countDistinct("s")).collect()