Databricks

DJey · ‎06-02-2023

Hi All,

I have a scenario where my Exisiting Delta Table looks like below:

Now I have an incremental data with an additional column i.e. owner:

Dataframe Name --> scdDFBelow is the code snippet to merge Incremental Dataframe to targetTable, but the new column is not getting added:

spark.conf.set("spark.databricks.delta.schema.autoMerge.enabled",True) --> this is also enabled.

But still no luck. Below is the final result which i'm currently getting:

Data looks correct, but the only issue is New Column i.e. Owner is still not merged in targetTable.

Someone please help.

Thanks!

etsyal1e2r3 · ‎06-03-2023

Just add that column to the table with an ALTER TABLE statement. You should capture each table/dataframe columns as a list with df.columns, compare them, and if the table is missing anything do the alter table. Then run your code.

View solution in original post

etsyal1e2r3 · ‎06-03-2023

Just add that column to the table with an ALTER TABLE statement. You should capture each table/dataframe columns as a list with df.columns, compare them, and if the table is missing anything do the alter table. Then run your code.

Anonymous · ‎06-06-2023

Hi @Divyansh Jain

Thank you for posting your question in our community! We are happy to assist you.

To help us provide you with the most accurate information, could you please take a moment to review the responses and select the one that best answers your question?

This will also help other community members who may have similar questions in the future. Thank you for your participation and let us know if you need any further assistance!