Github user cloud-fan commented on a diff in the pull request: https://github.com/apache/spark/pull/16080#discussion_r90362091 --- Diff: sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveExternalCatalog.scala --- @@ -232,17 +233,26 @@ private[spark] class HiveExternalCatalog(conf: SparkConf, hadoopConf: Configurat } private def createDataSourceTable(table: CatalogTable, ignoreIfExists: Boolean): Unit = { + // data source table always have a provider, it's guaranteed by `DDLUtils.isDatasourceTable`. + val provider = table.provider.get + // To work around some hive metastore issues, e.g. not case-preserving, bad decimal type // support, no column nullability, etc., we should do some extra works before saving table // metadata into Hive metastore: - // 1. Put table metadata like provider, schema, etc. in table properties. + // 1. Put table metadata like table schema, partition columns, etc. in table properties. // 2. Check if this table is hive compatible. // 2.1 If it's not hive compatible, set location URI, schema, partition columns and bucket // spec to empty and save table metadata to Hive. // 2.2 If it's hive compatible, set serde information in table metadata and try to save // it to Hive. If it fails, treat it as not hive compatible and go back to 2.1 val tableProperties = tableMetaToTableProps(table) + // put table provider and partition provider in table properties. + tableProperties.put(DATASOURCE_PROVIDER, provider) --- End diff -- Previously we store the provider in the code path for both data source and hive serde tables. Now I move it to the data source table only code path.
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