Let us say I have a dataframe df in PySpark (an interface I'm completely new to) with two columns, one with the label 'sports' that takes only 3 values ('soccer', 'basketball', 'volleyball') and another one with the label 'player_names' which can take any string in...
partitionColumns: array<string>, clusteringColumns: array<string>, numFiles: bigint, sizeInBytes: bigint, properties: map<string,string>, minReaderVersion: int, minWriterVersion: int, tableFeatures: array<string>
In the below example, we are adding two columns to the emp dataset. We are adding the emp_code and emp_addr columns to the emp dataset as follows. Code: importpysparkfrompyspark.sqlimportSparkSessionfrompyspark.sql.functionsimportcol,lit py=SparkSession.builder.appName('pyspark lit function')...