blob: c96b23289bbb1dd47ca12a8dc880aef75e954153 [file] [log] [blame]
/*
* 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
*
* https://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 org.apache.trevni.avro;
import java.io.IOException;
import java.util.ArrayList;
import java.util.List;
import org.apache.hadoop.io.NullWritable;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.fs.FileStatus;
import org.apache.hadoop.mapred.JobConf;
import org.apache.hadoop.mapred.FileInputFormat;
import org.apache.hadoop.mapred.InputSplit;
import org.apache.hadoop.mapred.FileSplit;
import org.apache.hadoop.mapred.Reporter;
import org.apache.hadoop.mapred.RecordReader;
import org.apache.avro.reflect.ReflectData;
import org.apache.avro.mapred.AvroJob;
import org.apache.avro.mapred.AvroWrapper;
/**
* An {@link org.apache.hadoop.mapred.InputFormat} for Trevni files.
*
* <p>
* A subset schema to be read may be specified with
* {@link AvroJob#setInputSchema(JobConf,Schema)}.
*/
public class AvroTrevniInputFormat<T> extends FileInputFormat<AvroWrapper<T>, NullWritable> {
@Override
protected boolean isSplitable(FileSystem fs, Path filename) {
return false;
}
@Override
protected FileStatus[] listStatus(JobConf job) throws IOException {
List<FileStatus> result = new ArrayList<>();
job.setBoolean("mapred.input.dir.recursive", true);
for (FileStatus file : super.listStatus(job))
if (file.getPath().getName().endsWith(AvroTrevniOutputFormat.EXT))
result.add(file);
return result.toArray(new FileStatus[0]);
}
@Override
public RecordReader<AvroWrapper<T>, NullWritable> getRecordReader(InputSplit split, final JobConf job,
Reporter reporter) throws IOException {
final FileSplit file = (FileSplit) split;
reporter.setStatus(file.toString());
final AvroColumnReader.Params params = new AvroColumnReader.Params(new HadoopInput(file.getPath(), job));
params.setModel(ReflectData.get());
if (job.get(AvroJob.INPUT_SCHEMA) != null)
params.setSchema(AvroJob.getInputSchema(job));
return new RecordReader<AvroWrapper<T>, NullWritable>() {
private AvroColumnReader<T> reader = new AvroColumnReader<>(params);
private float rows = reader.getRowCount();
private long row;
@Override
public AvroWrapper<T> createKey() {
return new AvroWrapper<>(null);
}
@Override
public NullWritable createValue() {
return NullWritable.get();
}
@Override
public boolean next(AvroWrapper<T> wrapper, NullWritable ignore) throws IOException {
if (!reader.hasNext())
return false;
wrapper.datum(reader.next());
row++;
return true;
}
@Override
public float getProgress() throws IOException {
return row / rows;
}
@Override
public long getPos() throws IOException {
return row;
}
@Override
public void close() throws IOException {
reader.close();
}
};
}
}