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Declarative Machine Learning
/*
* 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.sysml.runtime.transform;
import java.io.BufferedWriter;
import java.io.IOException;
import java.io.OutputStreamWriter;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.NullWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapred.JobConf;
import org.apache.hadoop.mapred.Mapper;
import org.apache.hadoop.mapred.OutputCollector;
import org.apache.hadoop.mapred.Reporter;
import org.apache.wink.json4j.JSONException;
import org.apache.sysml.runtime.DMLRuntimeException;
public class ApplyTfCSVMapper implements Mapper {
boolean _firstRecordInSplit = true;
boolean _partFileWithHeader = false;
TfUtils tfmapper = null;
Reporter _reporter = null;
BufferedWriter br = null;
JobConf _rJob = null;
@Override
public void configure(JobConf job) {
try {
_rJob = job;
_partFileWithHeader = TfUtils.isPartFileWithHeader(job);
tfmapper = new TfUtils(job);
tfmapper.loadTfMetadata(job, true);
} catch (IOException e) { throw new RuntimeException(e); }
catch(JSONException e) { throw new RuntimeException(e); }
}
@Override
public void map(LongWritable rawKey, Text rawValue, OutputCollector out, Reporter reporter) throws IOException {
if(_firstRecordInSplit)
{
_firstRecordInSplit = false;
_reporter = reporter;
// generate custom output paths so that order of rows in the
// output (across part files) matches w/ that from input data set
String partFileSuffix = tfmapper.getPartFileID(_rJob, rawKey.get());
Path mapOutputPath = new Path(tfmapper.getOutputPath() + "/transform-part-" + partFileSuffix);
// setup the writer for mapper's output
// the default part-..... files will be deleted later once the job finishes
br = new BufferedWriter(new OutputStreamWriter(FileSystem.get(_rJob).create( mapOutputPath, true)));
}
// output the header line
if ( rawKey.get() == 0 && _partFileWithHeader )
{
_reporter = reporter;
tfmapper.processHeaderLine();
if ( tfmapper.hasHeader() )
return;
}
// parse the input line and apply transformation
String[] words = tfmapper.getWords(rawValue);
if(!tfmapper.omit(words))
{
try {
words = tfmapper.apply(words);
String outStr = tfmapper.checkAndPrepOutputString(words);
//out.collect(NullWritable.get(), new Text(outStr));
br.write(outStr + "\n");
}
catch(DMLRuntimeException e) {
throw new RuntimeException(e.getMessage() + ": " + rawValue.toString());
}
}
}
@Override
public void close() throws IOException {
if ( br != null )
br.close();
}
}