dongjoon-hyun commented on a change in pull request #23266: [SPARK-26313][SQL] move read related methods from Table to read related mix-in traits URL: https://github.com/apache/spark/pull/23266#discussion_r240388355
########## File path: sql/core/src/main/java/org/apache/spark/sql/sources/v2/SupportsBatchRead.java ########## @@ -20,14 +20,27 @@ import org.apache.spark.annotation.Evolving; import org.apache.spark.sql.sources.v2.reader.Scan; import org.apache.spark.sql.sources.v2.reader.ScanBuilder; +import org.apache.spark.sql.types.StructType; /** - * An empty mix-in interface for {@link Table}, to indicate this table supports batch scan. - * <p> - * If a {@link Table} implements this interface, its {@link Table#newScanBuilder(DataSourceOptions)} - * must return a {@link ScanBuilder} that builds {@link Scan} with {@link Scan#toBatch()} - * implemented. - * </p> + * A mix-in interface for {@link Table} to provide data reading ability of batch processing. */ @Evolving -public interface SupportsBatchRead extends Table { } +public interface SupportsBatchRead extends Table { + + /** + * Returns the schema of this table. + */ + StructType schema(); Review comment: @rdblue . Validating is one of the important use cases, but there are another use cases. We've already received the request previously. > The schema is defined by the dataframe itself, not by the data source, i.e. it should be extracted from df.schema and not by source.createReader - http://apache-spark-developers-list.1001551.n3.nabble.com/Possible-bug-in-DatasourceV2-td25343.html ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on 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 With regards, Apache Git Services --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org