/* * 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.IOException; import org.apache.hadoop.io.IntWritable; import org.apache.hadoop.io.LongWritable; 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.matrix.CSVReblockMR.OffsetCount; import org.apache.sysml.runtime.matrix.mapred.MRConfigurationNames; public class GTFMTDMapper implements Mapper<LongWritable, Text, IntWritable, DistinctValue>{ private OutputCollector<IntWritable, DistinctValue> _collector = null; private int _mapTaskID = -1; TfUtils _agents = null; private boolean _partFileWithHeader = false; private boolean _firstRecordInSplit = true; private String _partFileName = null; private long _offsetInPartFile = -1; // ---------------------------------------------------------------------------------------------- /** * Configure the information used in the mapper, and setup transformation agents. */ @Override public void configure(JobConf job) { String[] parts = job.get(MRConfigurationNames.MR_TASK_ATTEMPT_ID).split("_"); if ( parts[0].equalsIgnoreCase("task")) { _mapTaskID = Integer.parseInt(parts[parts.length-1]); } else if ( parts[0].equalsIgnoreCase("attempt")) { _mapTaskID = Integer.parseInt(parts[parts.length-2]); } else { throw new RuntimeException("Unrecognized format for taskID: " + job.get(MRConfigurationNames.MR_TASK_ATTEMPT_ID)); } try { _partFileName = TfUtils.getPartFileName(job); _partFileWithHeader = TfUtils.isPartFileWithHeader(job); _agents = new TfUtils(job); } catch(IOException e) { throw new RuntimeException(e); } catch(JSONException e) { throw new RuntimeException(e); } } public void map(LongWritable rawKey, Text rawValue, OutputCollector<IntWritable, DistinctValue> out, Reporter reporter) throws IOException { if(_firstRecordInSplit) { _firstRecordInSplit = false; _collector = out; _offsetInPartFile = rawKey.get(); } // ignore header if (_agents.hasHeader() && rawKey.get() == 0 && _partFileWithHeader) return; _agents.prepareTfMtd(rawValue.toString()); } @Override public void close() throws IOException { _agents.getMVImputeAgent().mapOutputTransformationMetadata(_collector, _mapTaskID, _agents); _agents.getRecodeAgent().mapOutputTransformationMetadata(_collector, _mapTaskID, _agents); _agents.getBinAgent().mapOutputTransformationMetadata(_collector, _mapTaskID, _agents); // Output part-file offsets to create OFFSETS_FILE, which is to be used in csv reblocking. // OffsetCount is denoted as a DistinctValue by concatenating parfile name and offset within partfile. if(_collector != null) { IntWritable key = new IntWritable((int)_agents.getNumCols()+1); DistinctValue val = new DistinctValue(new OffsetCount(_partFileName, _offsetInPartFile, _agents.getValid())); _collector.collect(key, val); } // reset global variables, required when the jvm is reused. _firstRecordInSplit = true; _offsetInPartFile = -1; _partFileWithHeader = false; } }