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datafu.hourglass.avro.AvroMultipleInputsKeyInputFormat Maven / Gradle / Ivy

/**
* Copyright 2013 LinkedIn, 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 datafu.hourglass.avro;

import java.io.IOException;

import org.apache.avro.Schema;
import org.apache.avro.mapred.AvroKey;
import org.apache.avro.mapreduce.AvroKeyRecordReader;
import org.apache.hadoop.io.NullWritable;
import org.apache.hadoop.mapreduce.InputSplit;
import org.apache.hadoop.mapreduce.RecordReader;
import org.apache.hadoop.mapreduce.TaskAttemptContext;
import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;

/**
 * A MapReduce InputFormat that can handle Avro container files and multiple inputs.
 * The input schema is determine based on the split.  The mapping from input path
 * to schema is stored in the job configuration.
 *
 * 

Keys are AvroKey wrapper objects that contain the Avro data. Since Avro * container files store only records (not key/value pairs), the value from * this InputFormat is a NullWritable.

*/ public class AvroMultipleInputsKeyInputFormat extends FileInputFormat, NullWritable> { /** {@inheritDoc} */ @Override public RecordReader, NullWritable> createRecordReader( InputSplit split, TaskAttemptContext context) throws IOException, InterruptedException { Schema readerSchema = AvroMultipleInputsUtil.getInputKeySchemaForSplit(context.getConfiguration(), split); if (readerSchema == null) { throw new RuntimeException("Could not determine input schema"); } return new AvroKeyRecordReader(readerSchema); } }




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