brkyvz 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_r312331494
##########
File path: sql/core/src/main/scala/org/apache/spark/sql/DataFrameWriter.scala
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@@ -485,7 +490,71 @@ 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._
+
+ 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)
+
+ case other =>
+ // TODO(SPARK-28666): This should go through V2SessionCatalog
+ throw new UnsupportedOperationException(
+ s"Couldn't find a catalog to handle the identifier ${other.quoted}.")
Review comment:
That's true, but that could also mean that they forgot to configure their
default catalog too, right?
I can throw a better error when the SessionCatalog code path is implemented,
since we need that before we can even say that `ns1.ns2.table` cannot be
handled by the session catalog.
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