cloud-fan commented on a change in pull request #25767: [SPARK-29062][SQL] Add 
V1_BATCH_WRITE to the TableCapabilityChecks
URL: https://github.com/apache/spark/pull/25767#discussion_r326497209
 
 

 ##########
 File path: sql/core/src/main/scala/org/apache/spark/sql/DataFrameWriter.scala
 ##########
 @@ -267,6 +262,10 @@ final class DataFrameWriter[T] private[sql](ds: 
Dataset[T]) {
       import 
org.apache.spark.sql.execution.datasources.v2.DataSourceV2Implicits._
       provider.getTable(dsOptions) match {
         case table: SupportsWrite if table.supports(BATCH_WRITE) =>
+          if (partitioningColumns.nonEmpty) {
 
 Review comment:
   good catch! Even if the format is a `TableProvider`, we may still fall back 
to v1. It's better to check the partition when we are really going to do a v2 
write.

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