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https://issues.apache.org/jira/browse/SPARK-56975?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Jungtaek Lim resolved SPARK-56975.
----------------------------------
    Fix Version/s: 4.3.0
       Resolution: Fixed

Issue resolved by pull request 56017
[https://github.com/apache/spark/pull/56017]

> DataStreamReader.table() should reject user-specified schema instead of 
> silently ignoring it
> --------------------------------------------------------------------------------------------
>
>                 Key: SPARK-56975
>                 URL: https://issues.apache.org/jira/browse/SPARK-56975
>             Project: Spark
>          Issue Type: Improvement
>          Components: Structured Streaming
>    Affects Versions: 4.2.0
>            Reporter: You Zhou
>            Assignee: You Zhou
>            Priority: Trivial
>              Labels: pull-request-available
>             Fix For: 4.3.0
>
>
> {{DataStreamReader.table()}} accepts a user-specified schema without 
> complaint and then silently ignores it:
> {{spark.readStream}}
> {{.schema(new StructType().add("a", IntegerType))}}
> {{.table("some_table") // no error; the schema has no effect}}
> User-specified schema is not a meaningful input to {{.table()}} — catalog 
> tables declare their own schema, and {{TableCatalog.loadTable(Identifier)}} 
> has no parameter to receive a user schema, so even if Spark wanted to forward 
> one it couldn't. The user's {{.schema(...)}} call is therefore always a 
> misconfiguration.
> The rest of {{DataStreamReader}} already surfaces this kind of 
> misconfiguration as a clear error:
>  - {{.load()}} goes through {{{}DataSourceV2Utils.getTableFromProvider{}}}, 
> which throws {{_LEGACY_ERROR_TEMP_2242}} ("{{{}<provider>{}}} source does not 
> support user-specified schema") when the provider does not implement 
> {{{}supportsExternalMetadata(){}}}.
>  - {{.changes()}} explicitly calls {{assertNoSpecifiedSchema("changes")}} and 
> throws {{_LEGACY_ERROR_TEMP_1189}} ("User specified schema not supported with 
> {{{}changes{}}}.").
> {{.table()}} is the odd one out: same invalid configuration, no error. Users 
> can write {{{}readStream.schema(s).table(name){}}}, see a working query, and 
> reasonably assume {{s}} had an effect — when in fact the resulting stream 
> uses the catalog schema and {{s}} was dropped. Surfacing this as a clear 
> error aligns {{.table()}} with the existing behavior of {{.load()}} and 
> {{.changes().}}



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