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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.matrix;
import java.io.IOException;
import java.util.HashMap;
import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import org.apache.hadoop.mapred.Counters.Group;
import org.apache.hadoop.mapred.JobClient;
import org.apache.hadoop.mapred.JobConf;
import org.apache.hadoop.mapred.RunningJob;
import org.apache.sysml.conf.ConfigurationManager;
import org.apache.sysml.conf.DMLConfig;
import org.apache.sysml.runtime.controlprogram.parfor.stat.InfrastructureAnalyzer;
import org.apache.sysml.runtime.instructions.MRInstructionParser;
import org.apache.sysml.runtime.instructions.MRJobInstruction;
import org.apache.sysml.runtime.instructions.mr.CSVWriteInstruction;
import org.apache.sysml.runtime.matrix.data.InputInfo;
import org.apache.sysml.runtime.matrix.data.MatrixBlock;
import org.apache.sysml.runtime.matrix.data.OutputInfo;
import org.apache.sysml.runtime.matrix.data.TaggedFirstSecondIndexes;
import org.apache.sysml.runtime.matrix.mapred.CSVWriteMapper;
import org.apache.sysml.runtime.matrix.mapred.CSVWriteReducer;
import org.apache.sysml.runtime.matrix.mapred.MRConfigurationNames;
import org.apache.sysml.runtime.matrix.mapred.MRJobConfiguration;
import org.apache.sysml.runtime.matrix.mapred.MRJobConfiguration.ConvertTarget;
import org.apache.sysml.yarn.ropt.YarnClusterAnalyzer;
public class WriteCSVMR
{
private static final Log LOG = LogFactory.getLog(WriteCSVMR.class.getName());
private WriteCSVMR() {
//prevent instantiation via private constructor
}
public static JobReturn runJob(MRJobInstruction inst, String[] inputs, InputInfo[] inputInfos,
long[] rlens, long[] clens, int[] brlens, int[] bclens, String csvWriteInstructions, int numReducers, int replication,
byte[] resultIndexes, String[] outputs)
throws Exception
{
JobConf job = new JobConf(WriteCSVMR.class);
job.setJobName("WriteCSV-MR");
//check for valid output dimensions
for( int i=0; imaxRlen)
maxRlen=rlen;
//set up the number of reducers (according to output size)
int numRed = determineNumReducers(rlens, clens, config.getIntValue(DMLConfig.NUM_REDUCERS), (int)maxRlen);
job.setNumReduceTasks(numRed);
byte[] resultDimsUnknown = new byte[resultIndexes.length];
MatrixCharacteristics[] stats=new MatrixCharacteristics[resultIndexes.length];
OutputInfo[] outputInfos=new OutputInfo[outputs.length];
HashMap indexmap=new HashMap<>();
for(int i=0; i