Github user gatorsmile commented on the issue:
https://github.com/apache/spark/pull/17626
After I rethinking about it, it really depends on how we define
`deterministic`.
I checked the definition of Hive `UDFType`.
```
/**
* Certain optimizations should not be applied if UDF is not
deterministic.
* Deterministic UDF returns same result each time it is invoked with a
* particular input. This determinism just needs to hold within the
context of
* a query.
*
* @return true if the UDF is deterministic
*/
boolean deterministic() default true;
```
The deterministic value of an expression should always consider the
children's deterministic values. All the other existing UDFs in Spark are not
correct. Thus, I will close it and fix them in a separate PR.
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