rdblue commented on a change in pull request #25330: [SPARK-28565][SQL] 
DataFrameWriter saveAsTable support for V2 catalogs
URL: https://github.com/apache/spark/pull/25330#discussion_r311802413
 
 

 ##########
 File path: sql/core/src/main/scala/org/apache/spark/sql/DataFrameWriter.scala
 ##########
 @@ -485,7 +485,65 @@ final class DataFrameWriter[T] private[sql](ds: 
Dataset[T]) {
    * @since 1.4.0
    */
   def saveAsTable(tableName: String): Unit = {
-    
saveAsTable(df.sparkSession.sessionState.sqlParser.parseTableIdentifier(tableName))
+    import df.sparkSession.sessionState.analyzer.{AsTableIdentifier, 
CatalogObjectIdentifier}
+    import org.apache.spark.sql.catalog.v2.CatalogV2Implicits._
+
+    val session = df.sparkSession
+
+    session.sessionState.sqlParser.parseMultipartIdentifier(tableName) match {
+      case CatalogObjectIdentifier(Some(catalog), ident) =>
+        saveAsTable(catalog.asTableCatalog, ident, modeForDSV2)
+
+      case AsTableIdentifier(tableIdentifier) =>
+        saveAsTable(tableIdentifier)
+    }
+  }
+
+
+  private def saveAsTable(catalog: TableCatalog, ident: Identifier, mode: 
SaveMode): Unit = {
+    val partitioning = partitioningColumns.map { colNames =>
+      colNames.map(name => IdentityTransform(FieldReference(name)))
+    }.getOrElse(Seq.empty[Transform])
+    val bucketing = bucketColumnNames.map { cols =>
+      Seq(BucketTransform(LiteralValue(numBuckets.get, IntegerType), 
cols.map(FieldReference(_))))
+    }.getOrElse(Seq.empty[Transform])
+    val partitionTransforms = partitioning ++ bucketing
+
+    val tableOpt = try Option(catalog.loadTable(ident)) catch {
+      case _: NoSuchTableException => None
+    }
+
+    val command = (mode, tableOpt) match {
+      case (SaveMode.Append, Some(table)) =>
+        AppendData.byName(DataSourceV2Relation.create(table), df.logicalPlan)
+
+      case (SaveMode.Overwrite, _) =>
 
 Review comment:
   We need to match the behavior of v1 file sources. Do we know what that 
behavior is?

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