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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