cancel
Showing results forย 
Search instead forย 
Did you mean:ย 
Data Engineering
Join discussions on data engineering best practices, architectures, and optimization strategies within the Databricks Community. Exchange insights and solutions with fellow data engineers.
cancel
Showing results forย 
Search instead forย 
Did you mean:ย 

SQL Server OUTPUT clause alternative

Nathant93
New Contributor III

I am looking at after a merge or insert has happened to get the records in that batch that had been inserted via either method, much like the OUTPUT clause in sql server.

Does anyone have any suggestions, the only thing I can think of is to add a timestamp to the records and then select them from the table, however that would require having a timestamp on all tables I have.

Thanks

1 REPLY 1

Nathant93
New Contributor III

I've managed to do it like this 

qry = spark.sql(f"DESCRIBE history <table_name> limit 1").collect()
current_version = int(qry[0][0])
prev_version = current_version - 1
Then do an except statement between the versions.
 

Connect with Databricks Users in Your Area

Join a Regional User Group to connect with local Databricks users. Events will be happening in your city, and you wonโ€™t want to miss the chance to attend and share knowledge.

If there isnโ€™t a group near you, start one and help create a community that brings people together.

Request a New Group