/**
 * 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 it.crs4.pydoop.mapreduce.pipes;

import java.util.Properties;
import java.io.IOException;

import org.apache.avro.Schema;
import org.apache.avro.mapreduce.AvroOutputFormatBase;

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.mapreduce.TaskAttemptContext;


public abstract class PydoopAvroOutputFormatBase<K, V>
    extends AvroOutputFormatBase<K, V> {

  protected static Schema getOutputSchema(
      TaskAttemptContext context, String propName) throws IOException {
    Properties props = Submitter.getPydoopProperties();
    Configuration conf = context.getConfiguration();
    String schemaJSON = conf.get(props.getProperty(propName));
    if (null == schemaJSON) {
      throw new IOException("Avro output requires an output schema");
    }
    return Schema.parse(schemaJSON);
  }
}
