I'm loading the pyspark(spark-2.4 & python-3.7.4) data frame to Hive using Hivewarehouseconnector. Hive tables are partitioned and orc formatted. Data frame can contain multiple partition values. I need to load those partition values in single load and overwrite if that partition was already exists.       df.select(columns).write\ .format(HiveWarehouseSession().HIVE_WAREHOUSE_CONNECTOR)\ .mode('overwrite')\ .option('inferSchema', 'true')\ .option('table','tablename')\ .option('partition','partition_column')\ .save()       Got the below error. I'm passing right partition column name. Caused by: java.lang.IllegalArgumentException: Invalid partition spec: partition_column.   Even in append mode, it's not working. I'm getting same error.   How to accomplish the load? Kindly help.   ... View more