Column level and table level tagging in dlt pipeline

[ashraf1395]

Can i set column level and table level tags programmatically in a dlt pipeline. I tried it the normal way using 
spark.sql(f"alter table and set tags (key=value)") using this syntax I found it out in one of the databricks community post. But can we do it in dlt bcz when I tried I was getting not allowed dltpython API doesn't support this.

[julie598doyle · Accepted solution]

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@ashraf1395 wrote:

Can i set column level and table level tags programmatically in a dlt pipeline. I tried it the normal way using 
spark.sql(f"alter table and set tags (key=value)") using this syntax I found it out in one of the databricks community post. But can we do it in dlt bcz when I tried I was getting not allowed dltpython API doesn't support this.

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Hello @ashraf1395,
Currently, setting column and table level tags programmatically in a DLT pipeline using the dltpython API isn't supported. You might need to use Databricks SQL commands outside of the DLT pipeline for this task.

Best Regards,
Julie Doyle