Renaming column names of a DataFrame in Spark Scala

Question

I am trying to convert all the headers / column names of a DataFrame in Spark-Scala. as of now I come up with following code which only replaces a single colum

Answer 1

For those of you interested in PySpark version (actually it's same in Scala - see comment below) :

    merchants_df_renamed = merchants_df.toDF(
        'merchant_id', 'category', 'subcategory', 'merchant')

    merchants_df_renamed.printSchema()

Result:

root
|-- merchant_id: integer (nullable = true)
|-- category: string (nullable = true)
|-- subcategory: string (nullable = true)
|-- merchant: string (nullable = true)