PySpark Select Nested struct Columns
Using PySpark select() transformations one can select the nested struct columns from DataFrame. While working with semi-structured files like JSON…
Using PySpark select() transformations one can select the nested struct columns from DataFrame. While working with semi-structured files like JSON…
In Spark SQL, select() function is used to select one or multiple columns, nested columns, column by index, all columns,…
In PySpark, select() function is used to select single, multiple, column by index, all columns from the list and the…
PySpark StructType & StructField classes are used to programmatically specify the schema to the DataFrame and create complex columns like…
Use PySpark withColumnRenamed() to rename a DataFrame column, we often need to rename one column or multiple (or all) columns…
By default Spark SQL infer schema while reading JSON file, but, we can ignore this and read a JSON with…
Spark SQL provides Encoders to convert case class to the spark schema (struct StructType object), If you are using older…
Spark Schema defines the structure of the DataFrame which you can get by calling printSchema() method on the DataFrame object.…
Problem: How to create a Spark DataFrame with Array of struct column using Spark and Scala? Using StructType and ArrayType…
Problem: How to explode Array of StructType DataFrame columns to rows using Spark. Solution: Spark explode function can be used…