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/*
 * 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.InterfaceStability;
import org.apache.spark.sql.sources.DataSourceRegister;
import org.apache.spark.sql.sources.v2.reader.DataSourceReader;
import org.apache.spark.sql.types.StructType;

/**
 * A mix-in interface for {@link DataSourceV2}. Data sources can implement this interface to
 * provide data reading ability and scan the data from the data source.
 */
@InterfaceStability.Evolving
public interface ReadSupport extends DataSourceV2 {

  /**
   * Creates a {@link DataSourceReader} to scan the data from this data source.
   *
   * If this method fails (by throwing an exception), the action will fail and no Spark job will be
   * submitted.
   *
   * @param schema the user specified schema.
   * @param options the options for the returned data source reader, which is an immutable
   *                case-insensitive string-to-string map.
   *
   * By default this method throws {@link UnsupportedOperationException}, implementations should
   * override this method to handle user specified schema.
   */
  default DataSourceReader createReader(StructType schema, DataSourceOptions options) {
    String name;
    if (this instanceof DataSourceRegister) {
      name = ((DataSourceRegister) this).shortName();
    } else {
      name = this.getClass().getName();
    }
    throw new UnsupportedOperationException(name + " does not support user specified schema");
  }

  /**
   * Creates a {@link DataSourceReader} to scan the data from this data source.
   *
   * If this method fails (by throwing an exception), the action will fail and no Spark job will be
   * submitted.
   *
   * @param options the options for the returned data source reader, which is an immutable
   *                case-insensitive string-to-string map.
   */
  DataSourceReader createReader(DataSourceOptions options);
}




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