Github user mccheah commented on a diff in the pull request:

    https://github.com/apache/spark/pull/23086#discussion_r236500170
  
    --- Diff: sql/core/src/main/java/org/apache/spark/sql/sources/v2/Table.java 
---
    @@ -0,0 +1,51 @@
    +/*
    + * 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.sources.v2;
    +
    +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 interface representing a logical structured data set of a data 
source. For example, the
    + * implementation can be a directory on the file system, a topic of Kafka, 
or a table in the
    + * catalog, etc.
    + *
    + * This interface can mixin the following interfaces to support different 
operations:
    + * <ul>
    + *   <li>{@link SupportsBatchRead}: this table can be read in batch 
queries.</li>
    + * </ul>
    + */
    +@Evolving
    +public interface Table {
    +
    +  /**
    +   * Returns the schema of this table.
    +   */
    +  StructType schema();
    +
    +  /**
    +   * Returns a {@link ScanBuilder} which can be used to build a {@link 
Scan} later. Spark will call
    +   * this method for each data scanning query.
    +   *
    +   * The builder can take some query specific information to do operators 
pushdown, and keep these
    +   * information in the created {@link Scan}.
    +   */
    +  ScanBuilder newScanBuilder(DataSourceOptions options);
    --- End diff --
    
    Makes sense to me - `DataSourceOptions` was carrying along identifiers that 
really belong to a table identifier and that should be interpreted at the 
catalog level, not the data read level. In other words the implementation of 
this `Table` should already know _what_ locations to look up (e.g. "files 
comprising dataset D"), now it's a matter of _how_ (e.g. pushdown, filter 
predicates).


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