[GitHub] [spark] wangyum commented on a diff in pull request #37574: [SPARK-40207][SQL] Specify the column name when the data type is not supported by datasource

[GitBox <gi...@apache.org>]

wangyum commented on code in PR #37574:
URL: https://github.com/apache/spark/pull/37574#discussion_r955989716


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sql/core/src/test/scala/org/apache/spark/sql/FileBasedDataSourceSuite.scala:
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@@ -257,58 +257,64 @@ class FileBasedDataSourceSuite extends QueryTest
   // Text file format only supports string type
   test("SPARK-24691 error handling for unsupported types - text") {
     withTempDir { dir =>
+      def validateErrorMessage(msg: String, column: String, dt: String, format: String): Unit = {
+        val excepted = s"column `$column` has a data type of $dt, " +
+          s"which is not supported by $format."
+        assert(msg.toLowerCase(Locale.ROOT).contains(excepted))

Review Comment:
   Why do we need `toLowerCase`?



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