Github user gatorsmile commented on a diff in the pull request: https://github.com/apache/spark/pull/15024#discussion_r85280600 --- Diff: sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveExternalCatalog.scala --- @@ -415,16 +422,34 @@ private[spark] class HiveExternalCatalog(conf: SparkConf, hadoopConf: Configurat } if (DDLUtils.isDatasourceTable(withStatsProps)) { - val oldDef = client.getTable(db, withStatsProps.identifier.table) - // Sets the `schema`, `partitionColumnNames` and `bucketSpec` from the old table definition, - // to retain the spark specific format if it is. Also add old data source properties to table - // properties, to retain the data source table format. - val oldDataSourceProps = oldDef.properties.filter(_._1.startsWith(DATASOURCE_PREFIX)) + val oldTableDef = client.getTable(db, withStatsProps.identifier.table) + + val oldLocation = getLocationFromRawTable(oldTableDef) + // Only update the `locationUri` field if the location is really changed, because this table + // may be not Hive-compatible and can not set the `locationUri` field. We should respect the + // old `locationUri` even it's None. + val newLocation = if (oldLocation == tableDefinition.storage.locationUri) { + oldTableDef.storage.locationUri + } else { + tableDefinition.storage.locationUri + } --- End diff -- Just FYI, we do not have any test case to cover this. `ALTER TABLE SET LOCATION` for data source tables is only tested in `DDLSuite` (when Hive support is not enabled). That means, these code changes are not tested. Actually, this is not the only one. : (
--- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org