Java tutorial
/* (c) 2014 LinkedIn Corp. All rights reserved. * * 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. */ package com.linkedin.cubert.io.avro; import java.io.IOException; import org.apache.avro.Schema; import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.io.NullWritable; import org.apache.hadoop.mapreduce.RecordWriter; import org.apache.hadoop.mapreduce.TaskAttemptContext; import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat; import com.linkedin.cubert.pig.piggybank.storage.avro.PigAvroOutputFormat; public class PigAvroOutputFormatAdaptor extends FileOutputFormat<NullWritable, Object> { private PigAvroOutputFormat delegate; @Override public RecordWriter<NullWritable, Object> getRecordWriter(TaskAttemptContext context) throws IOException, InterruptedException { return getDelegate(context.getConfiguration()).getRecordWriter(context); } private PigAvroOutputFormat getDelegate(Configuration conf) { if (delegate == null) { String schemaStr = conf.get("cubert.avro.output.schema"); Schema schema = new Schema.Parser().parse(schemaStr); delegate = new PigAvroOutputFormat(schema); } return delegate; } }