Github user cloud-fan commented on the issue:
https://github.com/apache/spark/pull/19981
> Not sure why that would be an issue - or rather, why that's different
from the what's always been the case.
It's possible that people writing Spark applications with Spark SQL
dependency, but not using SQL functions(just create `SparkContext`). This can
happen if someone builds a lib based on Spark and Spark SQL, but the users only
use the non-SQL APIs.
> What do you think about either of my suggestions to simplify the code?
I do think we should only create the SQL tab when users actually use SQL
functions. And the same thing should apply to SQL listener.
And previously they were consistent: we register the listener and setup the
UI when creating `SparkSession`. But now they are not: we register the listener
during `SparkContext` creation, and setup the UI after first SQL execution
starts.
No offense, but I would reject that PR if I was reviewing it, because of
this behavior change.
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