| /** |
| * 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.hadoop.mapred.gridmix; |
| |
| import org.apache.commons.logging.Log; |
| import org.apache.commons.logging.LogFactory; |
| import org.apache.hadoop.conf.Configuration; |
| import org.apache.hadoop.fs.Path; |
| import org.apache.hadoop.io.NullWritable; |
| import org.apache.hadoop.mapreduce.InputFormat; |
| import org.apache.hadoop.mapreduce.InputSplit; |
| import org.apache.hadoop.mapreduce.Job; |
| import org.apache.hadoop.mapreduce.JobContext; |
| import org.apache.hadoop.mapreduce.Mapper; |
| import org.apache.hadoop.mapreduce.RecordReader; |
| import org.apache.hadoop.mapreduce.Reducer; |
| import org.apache.hadoop.mapreduce.TaskAttemptContext; |
| import org.apache.hadoop.mapreduce.TaskType; |
| import org.apache.hadoop.mapreduce.lib.input.CombineFileSplit; |
| import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat; |
| import org.apache.hadoop.security.UserGroupInformation; |
| import org.apache.hadoop.tools.rumen.JobStory; |
| import org.apache.hadoop.tools.rumen.TaskInfo; |
| |
| import java.io.IOException; |
| import java.security.PrivilegedExceptionAction; |
| import java.util.ArrayList; |
| import java.util.List; |
| import java.util.Random; |
| |
| /** |
| * Synthetic job generated from a trace description. |
| */ |
| class LoadJob extends GridmixJob { |
| |
| public static final Log LOG = LogFactory.getLog(LoadJob.class); |
| |
| public LoadJob(final Configuration conf, long submissionMillis, |
| final JobStory jobdesc, Path outRoot, UserGroupInformation ugi, |
| final int seq) throws IOException { |
| super(conf, submissionMillis, jobdesc, outRoot, ugi, seq); |
| } |
| |
| public Job call() throws IOException, InterruptedException, |
| ClassNotFoundException { |
| ugi.doAs( |
| new PrivilegedExceptionAction<Job>() { |
| public Job run() throws IOException, ClassNotFoundException, |
| InterruptedException { |
| job.setMapperClass(LoadMapper.class); |
| job.setReducerClass(LoadReducer.class); |
| job.setNumReduceTasks(jobdesc.getNumberReduces()); |
| job.setMapOutputKeyClass(GridmixKey.class); |
| job.setMapOutputValueClass(GridmixRecord.class); |
| job.setSortComparatorClass(GridmixKey.Comparator.class); |
| job.setGroupingComparatorClass(SpecGroupingComparator.class); |
| job.setInputFormatClass(LoadInputFormat.class); |
| job.setOutputFormatClass(RawBytesOutputFormat.class); |
| job.setPartitionerClass(DraftPartitioner.class); |
| job.setJarByClass(LoadJob.class); |
| job.getConfiguration().setBoolean(Job.USED_GENERIC_PARSER, true); |
| FileOutputFormat.setOutputPath(job, outdir); |
| job.submit(); |
| return job; |
| } |
| }); |
| |
| return job; |
| } |
| |
| public static class LoadMapper |
| extends Mapper<NullWritable, GridmixRecord, GridmixKey, GridmixRecord> { |
| |
| private double acc; |
| private double ratio; |
| private final ArrayList<RecordFactory> reduces = |
| new ArrayList<RecordFactory>(); |
| private final Random r = new Random(); |
| |
| private final GridmixKey key = new GridmixKey(); |
| private final GridmixRecord val = new GridmixRecord(); |
| |
| @Override |
| protected void setup(Context ctxt) |
| throws IOException, InterruptedException { |
| final Configuration conf = ctxt.getConfiguration(); |
| final LoadSplit split = (LoadSplit) ctxt.getInputSplit(); |
| final int maps = split.getMapCount(); |
| final long[] reduceBytes = split.getOutputBytes(); |
| final long[] reduceRecords = split.getOutputRecords(); |
| |
| long totalRecords = 0L; |
| final int nReduces = ctxt.getNumReduceTasks(); |
| if (nReduces > 0) { |
| int idx = 0; |
| int id = split.getId(); |
| for (int i = 0; i < nReduces; ++i) { |
| final GridmixKey.Spec spec = new GridmixKey.Spec(); |
| if (i == id) { |
| spec.bytes_out = split.getReduceBytes(idx); |
| spec.rec_out = split.getReduceRecords(idx); |
| ++idx; |
| id += maps; |
| } |
| reduces.add(new IntermediateRecordFactory( |
| new AvgRecordFactory(reduceBytes[i], reduceRecords[i], conf), |
| i, reduceRecords[i], spec, conf)); |
| totalRecords += reduceRecords[i]; |
| } |
| } else { |
| reduces.add(new AvgRecordFactory(reduceBytes[0], reduceRecords[0], |
| conf)); |
| totalRecords = reduceRecords[0]; |
| } |
| final long splitRecords = split.getInputRecords(); |
| int missingRecSize = |
| conf.getInt(AvgRecordFactory.GRIDMIX_MISSING_REC_SIZE, 64*1024); |
| final long inputRecords = |
| (splitRecords <= 0 && split.getLength() >= 0) |
| ? Math.max(1, split.getLength() / missingRecSize) |
| : splitRecords; |
| ratio = totalRecords / (1.0 * inputRecords); |
| acc = 0.0; |
| } |
| |
| @Override |
| public void map(NullWritable ignored, GridmixRecord rec, |
| Context context) throws IOException, InterruptedException { |
| acc += ratio; |
| while (acc >= 1.0 && !reduces.isEmpty()) { |
| key.setSeed(r.nextLong()); |
| val.setSeed(r.nextLong()); |
| final int idx = r.nextInt(reduces.size()); |
| final RecordFactory f = reduces.get(idx); |
| if (!f.next(key, val)) { |
| reduces.remove(idx); |
| continue; |
| } |
| context.write(key, val); |
| acc -= 1.0; |
| } |
| } |
| |
| @Override |
| public void cleanup(Context context) |
| throws IOException, InterruptedException { |
| for (RecordFactory factory : reduces) { |
| key.setSeed(r.nextLong()); |
| while (factory.next(key, val)) { |
| context.write(key, val); |
| key.setSeed(r.nextLong()); |
| } |
| } |
| } |
| } |
| |
| public static class LoadReducer |
| extends Reducer<GridmixKey,GridmixRecord,NullWritable,GridmixRecord> { |
| |
| private final Random r = new Random(); |
| private final GridmixRecord val = new GridmixRecord(); |
| |
| private double acc; |
| private double ratio; |
| private RecordFactory factory; |
| |
| @Override |
| protected void setup(Context context) |
| throws IOException, InterruptedException { |
| if (!context.nextKey() |
| || context.getCurrentKey().getType() != GridmixKey.REDUCE_SPEC) { |
| throw new IOException("Missing reduce spec"); |
| } |
| long outBytes = 0L; |
| long outRecords = 0L; |
| long inRecords = 0L; |
| for (GridmixRecord ignored : context.getValues()) { |
| final GridmixKey spec = context.getCurrentKey(); |
| inRecords += spec.getReduceInputRecords(); |
| outBytes += spec.getReduceOutputBytes(); |
| outRecords += spec.getReduceOutputRecords(); |
| } |
| if (0 == outRecords && inRecords > 0) { |
| LOG.info("Spec output bytes w/o records. Using input record count"); |
| outRecords = inRecords; |
| } |
| factory = |
| new AvgRecordFactory(outBytes, outRecords, context.getConfiguration()); |
| ratio = outRecords / (1.0 * inRecords); |
| acc = 0.0; |
| } |
| @Override |
| protected void reduce(GridmixKey key, Iterable<GridmixRecord> values, |
| Context context) |
| throws IOException, InterruptedException { |
| for (GridmixRecord ignored : values) { |
| acc += ratio; |
| while (acc >= 1.0 && factory.next(null, val)) { |
| context.write(NullWritable.get(), val); |
| acc -= 1.0; |
| } |
| } |
| } |
| @Override |
| protected void cleanup(Context context) |
| throws IOException, InterruptedException { |
| val.setSeed(r.nextLong()); |
| while (factory.next(null, val)) { |
| context.write(NullWritable.get(), val); |
| val.setSeed(r.nextLong()); |
| } |
| } |
| } |
| |
| static class LoadRecordReader |
| extends RecordReader<NullWritable,GridmixRecord> { |
| |
| private RecordFactory factory; |
| private final Random r = new Random(); |
| private final GridmixRecord val = new GridmixRecord(); |
| |
| public LoadRecordReader() { } |
| |
| @Override |
| public void initialize(InputSplit genericSplit, TaskAttemptContext ctxt) |
| throws IOException, InterruptedException { |
| final LoadSplit split = (LoadSplit)genericSplit; |
| final Configuration conf = ctxt.getConfiguration(); |
| factory = |
| new ReadRecordFactory(split.getLength(), split.getInputRecords(), |
| new FileQueue(split, conf), conf); |
| } |
| |
| @Override |
| public boolean nextKeyValue() throws IOException { |
| val.setSeed(r.nextLong()); |
| return factory.next(null, val); |
| } |
| @Override |
| public float getProgress() throws IOException { |
| return factory.getProgress(); |
| } |
| @Override |
| public NullWritable getCurrentKey() { |
| return NullWritable.get(); |
| } |
| @Override |
| public GridmixRecord getCurrentValue() { |
| return val; |
| } |
| @Override |
| public void close() throws IOException { |
| factory.close(); |
| } |
| } |
| |
| static class LoadInputFormat |
| extends InputFormat<NullWritable,GridmixRecord> { |
| |
| @Override |
| public List<InputSplit> getSplits(JobContext jobCtxt) throws IOException { |
| return pullDescription(jobCtxt); |
| } |
| @Override |
| public RecordReader<NullWritable,GridmixRecord> createRecordReader( |
| InputSplit split, final TaskAttemptContext taskContext) |
| throws IOException { |
| return new LoadRecordReader(); |
| } |
| } |
| |
| @Override |
| void buildSplits(FilePool inputDir) throws IOException { |
| long mapInputBytesTotal = 0L; |
| long mapOutputBytesTotal = 0L; |
| long mapOutputRecordsTotal = 0L; |
| final JobStory jobdesc = getJobDesc(); |
| if (null == jobdesc) { |
| return; |
| } |
| final int maps = jobdesc.getNumberMaps(); |
| final int reds = jobdesc.getNumberReduces(); |
| for (int i = 0; i < maps; ++i) { |
| final TaskInfo info = jobdesc.getTaskInfo(TaskType.MAP, i); |
| mapInputBytesTotal += info.getInputBytes(); |
| mapOutputBytesTotal += info.getOutputBytes(); |
| mapOutputRecordsTotal += info.getOutputRecords(); |
| } |
| final double[] reduceRecordRatio = new double[reds]; |
| final double[] reduceByteRatio = new double[reds]; |
| for (int i = 0; i < reds; ++i) { |
| final TaskInfo info = jobdesc.getTaskInfo(TaskType.REDUCE, i); |
| reduceByteRatio[i] = info.getInputBytes() / (1.0 * mapOutputBytesTotal); |
| reduceRecordRatio[i] = |
| info.getInputRecords() / (1.0 * mapOutputRecordsTotal); |
| } |
| final InputStriper striper = new InputStriper(inputDir, mapInputBytesTotal); |
| final List<InputSplit> splits = new ArrayList<InputSplit>(); |
| for (int i = 0; i < maps; ++i) { |
| final int nSpec = reds / maps + ((reds % maps) > i ? 1 : 0); |
| final long[] specBytes = new long[nSpec]; |
| final long[] specRecords = new long[nSpec]; |
| for (int j = 0; j < nSpec; ++j) { |
| final TaskInfo info = |
| jobdesc.getTaskInfo(TaskType.REDUCE, i + j * maps); |
| specBytes[j] = info.getOutputBytes(); |
| specRecords[j] = info.getOutputRecords(); |
| if (LOG.isDebugEnabled()) { |
| LOG.debug(String.format("SPEC(%d) %d -> %d %d %d", id(), i, |
| i + j * maps, info.getOutputRecords(), |
| info.getOutputBytes())); |
| } |
| } |
| final TaskInfo info = jobdesc.getTaskInfo(TaskType.MAP, i); |
| splits.add( |
| new LoadSplit(striper.splitFor(inputDir, info.getInputBytes(), 3), |
| maps, i, info.getInputBytes(), info.getInputRecords(), |
| info.getOutputBytes(), info.getOutputRecords(), |
| reduceByteRatio, reduceRecordRatio, specBytes, |
| specRecords)); |
| } |
| pushDescription(id(), splits); |
| } |
| } |