List of usage examples for org.apache.hadoop.mapred Mapper configure
void configure(JobConf job);
From source file:com.scaleoutsoftware.soss.hserver.hadoop.MapperWrapperMapred.java
License:Apache License
/** * Runs mapper for the single split.//from w w w .jav a 2 s . c om * * @param mapOutputAccumulator mapOutputAccumulator to use * @param split split ot run on */ @Override @SuppressWarnings("unchecked") public void runSplit(final MapOutputAccumulator<OUTKEY, OUTVALUE> mapOutputAccumulator, Object split, int splitIndex) throws IOException, ClassNotFoundException, InterruptedException { JobConf jobConf = new JobConf(this.jobConf); //Clone JobConf to prevent unexpected task interaction TaskAttemptID taskAttemptID = TaskAttemptID .downgrade(hadoopVersionSpecificCode.createTaskAttemptId(jobId, true, splitIndex)); ReducerWrapperMapred.updateJobConf(jobConf, taskAttemptID, splitIndex); updateJobWithSplit(jobConf, split); InputFormat inputFormat = jobConf.getInputFormat(); Reporter reporter = Reporter.NULL; //Create RecordReader org.apache.hadoop.mapred.RecordReader<INKEY, INVALUE> recordReader = inputFormat .getRecordReader((InputSplit) split, jobConf, reporter); //Make a mapper org.apache.hadoop.mapred.Mapper<INKEY, INVALUE, OUTKEY, OUTVALUE> mapper; try { mapper = (org.apache.hadoop.mapred.Mapper<INKEY, INVALUE, OUTKEY, OUTVALUE>) mapperConstructor .newInstance(); mapper.configure(jobConf); } catch (Exception e) { throw new RuntimeException("Cannot instantiate mapper " + mapperConstructor.getDeclaringClass(), e); } //These are to support map only jobs which write output directly to HDFS. final RecordWriter outputRecordWriter; OutputCommitter outputCommitter = null; TaskAttemptContext taskAttemptContext = null; if (mapOnlyJob) { taskAttemptContext = hadoopVersionSpecificCode.createTaskAttemptContextMapred(jobConf, taskAttemptID); OutputFormat outputFormat = jobConf.getOutputFormat(); FileSystem fs = FileSystem.get(jobConf); outputRecordWriter = (org.apache.hadoop.mapred.RecordWriter<OUTKEY, OUTVALUE>) outputFormat .getRecordWriter(fs, jobConf, ReducerWrapperMapred.getOutputName(splitIndex), Reporter.NULL); outputCommitter = jobConf.getOutputCommitter(); //Create task object so it can handle file format initialization //The MapTask is private in the Hadoop 1.x so we have to go through reflection. try { Class reduceTask = Class.forName("org.apache.hadoop.mapred.MapTask"); Constructor reduceTaskConstructor = reduceTask.getDeclaredConstructor(String.class, TaskAttemptID.class, int.class, JobSplit.TaskSplitIndex.class, int.class); reduceTaskConstructor.setAccessible(true); Task task = (Task) reduceTaskConstructor.newInstance(null, taskAttemptID, splitIndex, new JobSplit.TaskSplitIndex(), 0); task.setConf(jobConf); task.initialize(jobConf, jobId, Reporter.NULL, false); } catch (Exception e) { throw new IOException("Cannot initialize MapTask", e); } outputCommitter.setupTask(taskAttemptContext); } else { outputRecordWriter = null; } OutputCollector<OUTKEY, OUTVALUE> outputCollector; if (!mapOnlyJob) { outputCollector = new OutputCollector<OUTKEY, OUTVALUE>() { @Override public void collect(OUTKEY outkey, OUTVALUE outvalue) throws IOException { try { mapOutputAccumulator.combine(outkey, outvalue); } catch (InterruptedException e) { Thread.currentThread().interrupt(); } } }; } else { outputCollector = new OutputCollector<OUTKEY, OUTVALUE>() { @Override public void collect(OUTKEY outkey, OUTVALUE outvalue) throws IOException { outputRecordWriter.write(outkey, outvalue); } }; } INKEY key = recordReader.createKey(); INVALUE value = recordReader.createValue(); while (recordReader.next(key, value)) { mapper.map(key, value, outputCollector, reporter); } mapper.close(); recordReader.close(); if (mapOnlyJob) { outputRecordWriter.close(Reporter.NULL); outputCommitter.commitTask(taskAttemptContext); } }