Parameterized spark.sql() not working

[Michael_Appiah]

Spark 3.4 introduced parameterized SQL queries and Databricks also discussed this new functionality in a recent blog post (https://www.databricks.com/blog/parameterized-queries-pyspark)

Problem: I cannot run any of the examples provided in the PySpark  documentation: (https://spark.apache.org/docs/latest/api/python/reference/pyspark.sql/api/pyspark.sql.SparkSession.s...)

I literally just copy pasted the examples into a notebook and tried running them but got following error message (Im running DBR 14.1):

If I use regular f-formatted strings it works:

Regardless of which example in the PySpark Doc or from the Databricks blog post I tried - they all resulted in the error shown above. It would only work when I used f-formatted strings. But the whole idea of this new functionality is that we do not have to use f-formatted strings anymore as they can present a SQL injection vulnerability.

Did anyone get this new parameterized SQL functionality to work? or am I missing something here?

[adriennn]

@Michael_Appiah circling back on this because the forEachBatch functionality has landed in Lakeflow:

https://docs.databricks.com/aws/en/ldp/for-each-batch

So now you can do this in "DLT". But there's going to be a lot of boiler plate stuff like error handling, full refresh cleanup, logging that needs to be done manually compared to the normal functonalities.

[Malthe]

@adriennn this has nothing to do with DLT, but about Databricks providing a different session implementation here than regular Spark.

[adriennn]

@Malthe  the question did not indeed pertain to DLT / lakeflow, but another user asked about it and I mistakenly mentionned OP instead of @alex0sp  
cheers!