stczwd commented on a change in pull request #28617: URL: https://github.com/apache/spark/pull/28617#discussion_r459928295
########## File path: sql/catalyst/src/main/java/org/apache/spark/sql/connector/catalog/SupportsPartitions.java ########## @@ -0,0 +1,105 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one or more + * contributor license agreements. See the NOTICE file distributed with + * this work for additional information regarding copyright ownership. + * The ASF licenses this file to You under the Apache License, Version 2.0 + * (the "License"); you may not use this file except in compliance with + * the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +package org.apache.spark.sql.connector.catalog; + +import java.util.Map; + +import org.apache.spark.annotation.Experimental; + +/** + * Catalog methods for working with Partitions. + */ +@Experimental +public interface SupportsPartitions extends TableCatalog { Review comment: Sounds reasonable to me. The reason I want defined it as Catalog API is I think `Catalog API` is used to manage metadata for Partition and `Table API` is used for the actual data operation. However, as you said, there are some source will use partition API to manage partition data. Thus making Partition API as part of Table API is a better way. Thanks ---------------------------------------------------------------- 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
