Spark map() and mapValues()
Spark map() and mapValue() are two commonly used functions for transforming data in Spark RDDs (Resilient Distributed Datasets). In this article, I will explain these functions separately and then will…
Spark map() and mapValue() are two commonly used functions for transforming data in Spark RDDs (Resilient Distributed Datasets). In this article, I will explain these functions separately and then will…
PySpark SQL functions lit() and typedLit() are used to add a new column to DataFrame by assigning a literal or constant value. Both these functions return Column type as return…
Spark SQL provides several built-in standard functions org.apache.spark.sql.functions to work with DataFrame/Dataset and SQL queries. All these Spark SQL Functions return org.apache.spark.sql.Column type. In order to use these SQL Standard…
Let's see how to add a new column by assigning a literal or constant value to Spark DataFrame. Spark SQL provides lit() and typedLit() function to add a literal value to DataFrame. These both functions return Column type.