仅在选定的列上使用 NVL 逻辑 spark dataframe scala

Question

I need to replace only null values in selected columns in a dataframe. I know we have df.na.fill option . How can we implement it only on selected columns or is there any better option other than using df.na.fill

Answer 1

Reading spark documentation here we can see that fill is well suited for your need. You can do something like:

df.na.fill(0, Seq("colA", "colB"))