Java tutorial
/** * 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); } }