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 or structured files like Avro, Parquet, ORC we often have to deal with complex nested structures. When you read these files into DataFrame, all nested structure elements are converted into…

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Spark SQL – Select Columns From DataFrame

In Spark SQL, select() function is used to select one or multiple columns, nested columns, column by index, all columns, from the list, by regular expression from a DataFrame. select() is a transformation function in Spark and returns a new DataFrame with the selected columns. You can also alias column…

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PySpark Select Columns From DataFrame

In PySpark, select() function is used to select single, multiple, column by index, all columns from the list and the nested columns from a DataFrame, PySpark select() is a transformation function hence it returns a new DataFrame with the selected columns. Select a Single & Multiple Columns from PySparkSelect All…

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