Spark partitioned tables

[tombaeyens]

We were testing the schema validation with the Databricks connection, and we found a problem with partitioned tables.
SODA uses the columns # Partition Information and # col_name for the validation (check the first image).
We think this happens because of the table's describe (second image)
Is there anything that we can change on our side like a setting? Or is it a bug on SODA side that needs to be fixed?

The info for partition is irrelevant because the column appears in the first list and then in the partition information.

[tools-soda]

SAS-3465

[tombaeyens]

Potential fix:

In pyspark one can do this: partitions_columns = [col.name for col in spark.catalog.listColumns("schema_name.table_name") if col.isPartition] and non_paritions_columns = [col.name for col in spark.catalog.listColumns("schema_name.table_name") if not col.isPartition]

(source: https://stackoverflow.com/questions/51540906/how-to-get-the-hive-partition-column-name-using-spark )

Potentially it's suffice to apply the fix:

https://github.com/sodadata/soda-core/blob/main/soda/spark/soda/data_sources/spark_data_source.py#L213

and

https://github.com/sodadata/soda-core/blob/main/soda/spark/soda/data_sources/spark_data_source.py#L355