How to retrieve partition columns from Glue Catalog table using pyspark

Question

Hi Folks,

I have a table called demo and it is cataloged in Glue. The table has three partition columns (col_year, col_month and col_day). I want to get the name of the partition columns programmatically using pyspark. The output should be below with the partition values (just the partition keys)

col_year, col_month, col_day

Could you please help me in getting the desired output?
Thank you

Regards,
AP

Answer

Hello,

Generally, the last columns are the partitions.So, you can try get schema and then convert to list and read last n columns which are partitions.
>

https://docs.aws.amazon.com/glue/latest/dg/aws-glue-api-crawler-pyspark-extensions-dynamic-frame.html

https://docs.aws.amazon.com/glue/latest/dg/aws-glue-api-crawler-pyspark-extensions-dynamic-frame.html#aws-glue-api-crawler-pyspark-extensions-dynamic-frame-schema

>

As a solution other than in PySpark you can do get table API call and get the partitions and use them in code.

https://awscli.amazonaws.com/v2/documentation/api/latest/reference/glue/get-table.html#output

How to retrieve partition columns from Glue Catalog table using pyspark

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