panbingkun commented on PR #45776:
URL: https://github.com/apache/spark/pull/45776#issuecomment-2033846860
> What concerns me is when you specify the schema:
>
> ```scala
> scala> spark.read.schema("value STRING").text().show()
> 24/04/03 15:35:10 WARN DataSource: All paths were ignored:
>
> +-----+
> |value|
> +-----+
> +-----+
>
>
> scala> spark.read.schema("value STRING").csv().show()
> 24/04/03 15:35:13 WARN DataSource: All paths were ignored:
>
> +-----+
> |value|
> +-----+
> +-----+
>
>
> scala> spark.read.schema("value STRING").json().show()
> 24/04/03 15:35:16 WARN DataSource: All paths were ignored:
>
> +-----+
> |value|
> +-----+
> +-----+
>
>
> scala> spark.read.schema("value STRING").orc().show()
> 24/04/03 15:35:19 WARN DataSource: All paths were ignored:
>
> +-----+
> |value|
> +-----+
> +-----+
>
>
> scala> spark.read.schema("value STRING").parquet().show()
> 24/04/03 15:35:21 WARN DataSource: All paths were ignored:
>
> +-----+
> |value|
> +-----+
> +-----+
> ```
>
> It all works with returning an empty DataFrame. Suppose that you have a
logic like:
>
> ```scala
> val paths: Seq[String] = ... // Get the paths from somewhere else
> spark.read.schema(...).csv(paths)
> ```
>
> then it will be broken.
@HyukjinKwon
Based on the new updates, the above has been restored to its `original
state`, as follows
```
Spark context Web UI available at http://172.24.144.22:4040
Spark context available as 'sc' (master = local-cluster[2, 1, 1024], app id
= app-20240403155813-0000).
Spark session available as 'spark'.
scala> spark.read.schema("value STRING").text().show()
+-----+
|value|
+-----+
+-----+
scala> spark.read.schema("value STRING").csv().show()
+-----+
|value|
+-----+
+-----+
scala> spark.read.schema("value STRING").json().show()
+-----+
|value|
+-----+
+-----+
scala> spark.read.schema("value STRING").orc().show()
+-----+
|value|
+-----+
+-----+
scala> spark.read.schema("value STRING").parquet().show()
+-----+
|value|
+-----+
+-----+
```
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