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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 parquet.avro;

import org.apache.avro.Schema;
import org.apache.avro.generic.IndexedRecord;
import org.apache.hadoop.mapreduce.Job;
import parquet.avro.AvroWriteSupport;
import parquet.hadoop.ParquetOutputFormat;
import parquet.hadoop.util.ContextUtil;

/**
 * A Hadoop {@link org.apache.hadoop.mapreduce.OutputFormat} for Parquet files.
 */
public class AvroParquetOutputFormat extends ParquetOutputFormat {

  /**
   * Set the Avro schema to use for writing. The schema is translated into a Parquet
   * schema so that the records can be written in Parquet format. It is also
   * stored in the Parquet metadata so that records can be reconstructed as Avro
   * objects at read time without specifying a read schema.
   * @param job
   * @param schema
   * @see parquet.avro.AvroParquetInputFormat#setAvroReadSchema(org.apache.hadoop.mapreduce.Job, org.apache.avro.Schema)
   */
  public static void setSchema(Job job, Schema schema) {
    AvroWriteSupport.setSchema(ContextUtil.getConfiguration(job), schema);
  }

  public AvroParquetOutputFormat() {
    super(new AvroWriteSupport());
  }

}