โ06-02-2023 06:52 AM
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!
โ06-03-2023 05:49 PM
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.
โ06-03-2023 05:49 PM
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.
โ06-06-2023 12:02 AM
Hi @Divyansh Jainโ
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โ06-16-2023 02:29 AM
This is resolved. Thanks, everyone!
โ06-16-2023 02:34 AM
@Vidula Khannaโ Enabling the below property resolved my issue:
spark.conf.set("spark.databricks.delta.schema.autoMerge.enabled",True)
Thanks v much!
โ10-25-2023 03:34 AM
sorry, can you please explain what was the problem? cause you have already that property enabled
2 weeks ago
In Databricks Runtime 15.2 and above, you can specify schema evolution in a merge statement using SQL or Delta table APIs:
MERGE WITH SCHEMA EVOLUTION INTO target
USING source
ON source.key = target.key
WHEN MATCHED THEN
UPDATE SET *
WHEN NOT MATCHED THEN
INSERT *
WHEN NOT MATCHED BY SOURCE THEN
DELETE
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