cloud-fan commented on a change in pull request #25465: [SPARK-28747][SQL] 
merge the two data source v2 fallback configs
URL: https://github.com/apache/spark/pull/25465#discussion_r316472026
 
 

 ##########
 File path: sql/core/src/main/scala/org/apache/spark/sql/DataFrameWriter.scala
 ##########
 @@ -835,14 +832,12 @@ final class DataFrameWriter[T] private[sql](ds: 
Dataset[T]) {
 
   private def modeForDSV2 = mode.getOrElse(SaveMode.Append)
 
-  private def canUseV2Source(session: SparkSession, providerClass: Class[_]): 
Boolean = {
-    val useV1Sources =
-      
session.sessionState.conf.useV1SourceWriterList.toLowerCase(Locale.ROOT).split(",")
-    val shouldUseV1Source = providerClass.newInstance() match {
-      case d: DataSourceRegister if useV1Sources.contains(d.shortName()) => 
true
-      case _ => 
useV1Sources.contains(providerClass.getCanonicalName.toLowerCase(Locale.ROOT))
+  private def lookupV2Provider() = {
+    DataSource.lookupDataSourceV2(source, df.sparkSession.sessionState.conf) 
match {
+      // File source v2 write path is currently broken.
+      case Some(_: FileDataSourceV2) => None
 
 Review comment:
   This doesn't apply to `DataFrameReader`. We can still read file source v2 
with `DataFrameReader` and I don't want to break it.

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