How to UnPivot COLUMNS into ROWS in AWS Glue / Py Spark script
问题 I have a large nested json document for each year (say 2018, 2017), which has aggregated data by each month (Jan-Dec) and each day (1-31). { "2018" : { "Jan": { "1": { "u": 1, "n": 2 } "2": { "u": 4, "n": 7 } }, "Feb": { "1": { "u": 3, "n": 2 }, "4": { "u": 4, "n": 5 } } } } I have used AWS Glue Relationalize.apply function to convert above hierarchal data into flat structure: dfc = Relationalize.apply(frame = datasource0, staging_path = my_temp_bucket, name = my_ref_relationalize_table,