gengliangwang commented on code in PR #51419: URL: https://github.com/apache/spark/pull/51419#discussion_r2244248989
########## sql/catalyst/src/main/java/org/apache/spark/sql/connector/catalog/MetadataOnlyTable.java: ########## @@ -0,0 +1,232 @@ +/* + * 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 java.util.Set; + +import org.apache.spark.annotation.Evolving; +import org.apache.spark.sql.connector.expressions.Transform; +import org.apache.spark.sql.types.StructType; + +/** + * A concrete {@code Table} implementation that only contains the table metadata without + * implementing read/write directly. It represents a general Spark data source table or + * a Spark view, and relies on Spark to interpret the table metadata, resolve the table + * provider into a data source, or read it as a view. + * This affects the table read/write operations but not DDL operations. Review Comment: > This affects the table read/write operations but not DDL operations. It seems a bit unclear. Before the change, DDL operations of DSV2 tables relies on Spark too. -- 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. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
