HyukjinKwon commented on code in PR #44305:
URL: https://github.com/apache/spark/pull/44305#discussion_r1427567309
##########
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSource.scala:
##########
@@ -105,13 +106,14 @@ case class DataSource(
// [[FileDataSourceV2]] will still be used if we call the load()/save()
method in
// [[DataFrameReader]]/[[DataFrameWriter]], since they use method
`lookupDataSource`
// instead of `providingClass`.
- cls.getDeclaredConstructor().newInstance() match {
+ DataSource.newDataSourceInstance(className, cls) match {
case f: FileDataSourceV2 => f.fallbackFileFormat
Review Comment:
and `tables.scala` as well:
```scala
if (DDLUtils.isDatasourceTable(catalogTable)) {
DataSource.newDataSourceInstance(
catalogTable.provider.get,
DataSource.lookupDataSource(catalogTable.provider.get, conf))
match {
// For datasource table, this command can only support the following
File format.
// TextFileFormat only default to one column "value"
// Hive type is already considered as hive serde table, so the logic
will not
// come in here.
case _: CSVFileFormat | _: JsonFileFormat | _: ParquetFileFormat =>
case _: JsonDataSourceV2 | _: CSVDataSourceV2 |
_: OrcDataSourceV2 | _: ParquetDataSourceV2 =>
case s if s.getClass.getCanonicalName.endsWith("OrcFileFormat") =>
case s =>
throw
QueryCompilationErrors.alterAddColNotSupportDatasourceTableError(s, table)
}
}
catalogTable
```
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