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/**
 * Copyright 2012 Twitter, Inc.
 *
 * Licensed 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 parquet.hadoop.example;

import java.util.Map;

import org.apache.hadoop.conf.Configuration;

import parquet.example.data.Group;
import parquet.example.data.simple.convert.GroupRecordConverter;
import parquet.hadoop.api.ReadSupport;
import parquet.io.api.RecordMaterializer;
import parquet.schema.MessageType;

public class GroupReadSupport extends ReadSupport {

  @Override
  public parquet.hadoop.api.ReadSupport.ReadContext init(
      Configuration configuration, Map keyValueMetaData,
      MessageType fileSchema) {
    String partialSchemaString = configuration.get(ReadSupport.PARQUET_READ_SCHEMA);
    MessageType requestedProjection = getSchemaForRead(fileSchema, partialSchemaString);
    return new ReadContext(requestedProjection);
  }

  @Override
  public RecordMaterializer prepareForRead(Configuration configuration,
      Map keyValueMetaData, MessageType fileSchema,
      parquet.hadoop.api.ReadSupport.ReadContext readContext) {
    return new GroupRecordConverter(readContext.getRequestedSchema());
  }

}




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