xuanyuanking commented on a change in pull request #29767: URL: https://github.com/apache/spark/pull/29767#discussion_r490151791
########## File path: sql/core/src/main/scala/org/apache/spark/sql/streaming/DataStreamWriter.scala ########## @@ -300,54 +301,44 @@ final class DataStreamWriter[T] private[sql](ds: Dataset[T]) { "write files of Hive data source directly.") } - if (source == "memory") { + if (source == SOURCE_NAME_TABLE) { + assertNotPartitioned("table") + + import df.sparkSession.sessionState.analyzer.CatalogAndIdentifier + + import org.apache.spark.sql.connector.catalog.CatalogV2Implicits._ + val CatalogAndIdentifier(catalog, identifier) = df.sparkSession.sessionState.sqlParser + .parseMultipartIdentifier(tableName) + val tableInstance = catalog.asTableCatalog.loadTable(identifier) Review comment: Skip for the table non-existence is good for the first version, but it seems a good-to-have one in the future. ########## File path: sql/core/src/main/scala/org/apache/spark/sql/streaming/DataStreamWriter.scala ########## @@ -300,54 +301,44 @@ final class DataStreamWriter[T] private[sql](ds: Dataset[T]) { "write files of Hive data source directly.") } - if (source == "memory") { + if (source == SOURCE_NAME_TABLE) { + assertNotPartitioned("table") + + import df.sparkSession.sessionState.analyzer.CatalogAndIdentifier + + import org.apache.spark.sql.connector.catalog.CatalogV2Implicits._ + val CatalogAndIdentifier(catalog, identifier) = df.sparkSession.sessionState.sqlParser Review comment: Is it possible to get a temp view here and what the behavior should be? ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org