Github user HyukjinKwon commented on the issue:
https://github.com/apache/spark/pull/22775
Actually, that usecase can more easily accomplished by simply inferring
schema by JSON datasource. Yea, I indeed suggested that as workaround for this
issue before. Let's say, `spark.read.json(df.select("json").as[String]).schema`.
I know it's not super clear about the usecase of `schema_of_json` and
actually that's also partly why I want to allow what we need for this
expression now.
@rxin, WDYT? This PR tries to allow what we only need for now. Let's say
disallow:
```scala
schema_of_json(column)
```
and only allow
```scala
schema_of_json(literal)
```
because the main usecase is:
```scala
from_json(schema_of_json(literal))
```
and
```scala
from_json(schema_of_json(column))
```
is already not being supported. My judgement was `schema_of_json(column)`
doesn't have to be exposed for now and actually want to have a talk with
@MaxGekk about this when he comes back from his vacation.
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