7/19/2023 0 Comments Freeware rename multiple files![]() It all depends on the requirement from the action standpoint. ![]() In this article, you have learned different ways of renaming multiple columns in Spark, some approaches involve explicitly specifying the new names for each column using the withColumnRenamed() function or passing a list of old and new column names to the toDF() method. The .functions package provides many more functions for manipulating and transforming columns, so it’s worth exploring the documentation to learn more. These are just a few examples of what you can do with columns in Spark Scala. For example, to group data by col1 column and compute the sum of the col2 column for each group, you can write df.groupBy("col1").agg(sum("col2")). Aggregating Data: To aggregate data based on one or more columns, you can use the groupBy() function. ![]() For example, to rename a column col1 to new_col1, you can write df.withColumnRenamed("col1", "new_col1").
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