org.apache.sysml.runtime.transform.ApplyTfCSVMR Maven / Gradle / Ivy
Go to download
Show more of this group Show more artifacts with this name
Show all versions of systemml Show documentation
Show all versions of systemml Show documentation
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.FileNotFoundException;
import java.io.IOException;
import org.apache.hadoop.filecache.DistributedCache;
import org.apache.hadoop.fs.FileStatus;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.fs.PathFilter;
import org.apache.hadoop.io.NullWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapred.FileInputFormat;
import org.apache.hadoop.mapred.FileOutputFormat;
import org.apache.hadoop.mapred.JobClient;
import org.apache.hadoop.mapred.JobConf;
import org.apache.hadoop.mapred.RunningJob;
import org.apache.hadoop.mapred.TextInputFormat;
import org.apache.hadoop.mapred.TextOutputFormat;
import org.apache.sysml.runtime.matrix.CSVReblockMR;
import org.apache.sysml.runtime.matrix.JobReturn;
import org.apache.sysml.runtime.matrix.MatrixCharacteristics;
import org.apache.sysml.runtime.matrix.data.CSVFileFormatProperties;
import org.apache.sysml.runtime.matrix.mapred.MRConfigurationNames;
import org.apache.sysml.runtime.matrix.mapred.MRJobConfiguration;
@SuppressWarnings("deprecation")
public class ApplyTfCSVMR {
public static JobReturn runJob(String inputPath, String spec, String mapsPath, String tmpPath, String outputPath, String partOffsetsFile, CSVFileFormatProperties inputDataProperties, long numCols, int replication, String headerLine) throws IOException, ClassNotFoundException, InterruptedException {
JobConf job = new JobConf(ApplyTfCSVMR.class);
job.setJobName("ApplyTfCSV");
/* Setup MapReduce Job */
job.setJarByClass(ApplyTfCSVMR.class);
// set relevant classes
job.setMapperClass(ApplyTfCSVMapper.class);
job.setNumReduceTasks(0);
// Add transformation metadata file as well as partOffsetsFile to Distributed cache
DistributedCache.addCacheFile((new Path(mapsPath)).toUri(), job);
DistributedCache.createSymlink(job);
Path cachefile=new Path(partOffsetsFile);
DistributedCache.addCacheFile(cachefile.toUri(), job);
DistributedCache.createSymlink(job);
// set input and output properties
job.setInputFormat(TextInputFormat.class);
job.setOutputFormat(TextOutputFormat.class);
job.setMapOutputKeyClass(NullWritable.class);
job.setMapOutputValueClass(Text.class);
job.setOutputKeyClass(NullWritable.class);
job.setOutputValueClass(Text.class);
job.setInt(MRConfigurationNames.DFS_REPLICATION, replication);
FileInputFormat.addInputPath(job, new Path(inputPath));
// delete outputPath, if exists already.
Path outPath = new Path(outputPath);
FileSystem fs = FileSystem.get(job);
fs.delete(outPath, true);
FileOutputFormat.setOutputPath(job, outPath);
job.set(MRJobConfiguration.TF_HAS_HEADER, Boolean.toString(inputDataProperties.hasHeader()));
job.set(MRJobConfiguration.TF_DELIM, inputDataProperties.getDelim());
if ( inputDataProperties.getNAStrings() != null)
// Adding "dummy" string to handle the case of na_strings = ""
job.set(MRJobConfiguration.TF_NA_STRINGS, TfUtils.prepNAStrings(inputDataProperties.getNAStrings()) );
job.set(MRJobConfiguration.TF_SPEC, spec);
job.set(MRJobConfiguration.TF_SMALLEST_FILE, CSVReblockMR.findSmallestFile(job, inputPath));
job.set(MRJobConfiguration.OUTPUT_MATRICES_DIRS_CONFIG, outputPath);
job.setLong(MRJobConfiguration.TF_NUM_COLS, numCols);
job.set(MRJobConfiguration.TF_TXMTD_PATH, mapsPath);
job.set(MRJobConfiguration.TF_HEADER, headerLine);
job.set(CSVReblockMR.ROWID_FILE_NAME, cachefile.toString());
job.set(MRJobConfiguration.TF_TMP_LOC, tmpPath);
//turn off adaptivemr
job.setBoolean("adaptivemr.map.enable", false);
// Run the job
RunningJob runjob = JobClient.runJob(job);
// Since transform CSV produces part files w/ prefix transform-part-*,
// delete all the "default" part-..... files
deletePartFiles(fs, outPath);
MatrixCharacteristics mc = new MatrixCharacteristics();
return new JobReturn(new MatrixCharacteristics[]{mc}, runjob.isSuccessful());
}
private static void deletePartFiles(FileSystem fs, Path path) throws FileNotFoundException, IOException
{
PathFilter filter=new PathFilter(){
public boolean accept(Path file) {
return file.getName().startsWith("part-");
}
};
FileStatus[] list = fs.listStatus(path, filter);
for(FileStatus stat : list) {
fs.delete(stat.getPath(), false);
}
}
}