| /** |
| * 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 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<FileStatus>(); |
| 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<T>(params); |
| private float rows = reader.getRowCount(); |
| private long row; |
| |
| public AvroWrapper<T> createKey() { return new AvroWrapper<T>(null); } |
| |
| public NullWritable createValue() { return NullWritable.get(); } |
| |
| public boolean next(AvroWrapper<T> wrapper, NullWritable ignore) |
| throws IOException { |
| if (!reader.hasNext()) |
| return false; |
| wrapper.datum(reader.next()); |
| row++; |
| return true; |
| } |
| |
| public float getProgress() throws IOException { return row / rows; } |
| |
| public long getPos() throws IOException { return row; } |
| |
| public void close() throws IOException { reader.close(); } |
| |
| }; |
| |
| } |
| |
| } |
| |