Also, integrating PyArrow onto Apache Spark is a breeze.Because I usually load data into Spark from Hive tables whose schemas were made by others, specifying the return data type means the UDF should still work as intended even if the Hive schema has changed.
Specifying the data type in the Python function output is probably the safer way. May be i am wrong but if so then please clear my concept. Snappy would compress Parquet row groups making Parquet file splittable.
Authentication should be automatic if the HDFS cluster uses Kerberos. All parameters are optional and should only be set if the defaults need to be overridden.
