imback82 commented on a change in pull request #26120: [SPARK-29014][SQL]
DataSourceV2: Fix current/default catalog usage
URL: https://github.com/apache/spark/pull/26120#discussion_r335681035
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File path: sql/core/src/main/scala/org/apache/spark/sql/DataFrameWriter.scala
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@@ -481,17 +482,18 @@ final class DataFrameWriter[T] private[sql](ds:
Dataset[T]) {
def saveAsTable(tableName: String): Unit = {
import df.sparkSession.sessionState.analyzer.{AsTableIdentifier,
CatalogObjectIdentifier}
import org.apache.spark.sql.connector.catalog.CatalogV2Implicits._
+ import org.apache.spark.sql.connector.catalog.CatalogV2Util._
val session = df.sparkSession
val canUseV2 = lookupV2Provider().isDefined
- val sessionCatalog = session.sessionState.analyzer.sessionCatalog
session.sessionState.sqlParser.parseMultipartIdentifier(tableName) match {
- case CatalogObjectIdentifier(Some(catalog), ident) =>
+ case CatalogObjectIdentifier(catalog, ident) if
!isSessionCatalog(catalog) =>
saveAsTable(catalog.asTableCatalog, ident)
- case CatalogObjectIdentifier(None, ident) if canUseV2 &&
ident.namespace().length <= 1 =>
- saveAsTable(sessionCatalog.asTableCatalog, ident)
+ case CatalogObjectIdentifier(catalog, ident)
+ if isSessionCatalog(catalog) && canUseV2 && ident.namespace().length
<= 1 =>
+ saveAsTable(catalog.asTableCatalog, ident)
Review comment:
This may not be correct if the current catalog is v2 session catalog that
doesn't delegate to the v1 session catalog? If you look at the previous
behavior, it's always using v1 session catalog.
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