hadoop LoadJob 源码
haddop LoadJob 代码
文件路径：/hadoop-tools/hadoop-gridmix/src/main/java/org/apache/hadoop/mapred/gridmix/LoadJob.java
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* 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.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.NullWritable;
import org.apache.hadoop.mapred.gridmix.emulators.resourceusage.ResourceUsageMatcher;
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.MRJobConfig;
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.TaskCounter;
import org.apache.hadoop.mapreduce.TaskInputOutputContext;
import org.apache.hadoop.mapreduce.TaskType;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
import org.apache.hadoop.mapreduce.server.tasktracker.TTConfig;
import org.apache.hadoop.security.UserGroupInformation;
import org.apache.hadoop.tools.rumen.JobStory;
import org.apache.hadoop.tools.rumen.ResourceUsageMetrics;
import org.apache.hadoop.tools.rumen.TaskInfo;
import org.apache.hadoop.yarn.util.ResourceCalculatorPlugin;
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 Logger LOG = LoggerFactory.getLogger(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(LoadSortComparator.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;
}
@Override
protected boolean canEmulateCompression() {
return true;
}
/**
* This is a load matching key comparator which will make sure that the
* resource usage load is matched even when the framework is in control.
*/
public static class LoadSortComparator extends GridmixKey.Comparator {
private ResourceUsageMatcherRunner matcher = null;
private boolean isConfigured = false;
public LoadSortComparator() {
super();
}
@Override
public int compare(byte[] b1, int s1, int l1, byte[] b2, int s2, int l2) {
configure();
int ret = super.compare(b1, s1, l1, b2, s2, l2);
if (matcher != null) {
try {
matcher.match(); // match the resource usage now
} catch (Exception e) {}
}
return ret;
}
//TODO Note that the sorter will be instantiated 2 times as follows
// 1. During the sort/spill in the map phase
// 2. During the merge in the sort phase
// We need the handle to the matcher thread only in (2).
// This logic can be relaxed to run only in (2).
private void configure() {
if (!isConfigured) {
ThreadGroup group = Thread.currentThread().getThreadGroup();
Thread[] threads = new Thread[group.activeCount() * 2];
group.enumerate(threads, true);
for (Thread t : threads) {
if (t != null && (t instanceof ResourceUsageMatcherRunner)) {
this.matcher = (ResourceUsageMatcherRunner) t;
isConfigured = true;
break;
}
}
}
}
}
/**
* This is a progress based resource usage matcher.
*/
@SuppressWarnings("unchecked")
static class ResourceUsageMatcherRunner extends Thread
implements Progressive {
private final ResourceUsageMatcher matcher;
private final BoostingProgress progress;
private final long sleepTime;
private static final String SLEEP_CONFIG =
"gridmix.emulators.resource-usage.sleep-duration";
private static final long DEFAULT_SLEEP_TIME = 100; // 100ms
/**
* This is a progress bar that can be boosted for weaker use-cases.
*/
private static class BoostingProgress implements Progressive {
private float boostValue = 0f;
TaskInputOutputContext context;
BoostingProgress(TaskInputOutputContext context) {
this.context = context;
}
void setBoostValue(float boostValue) {
this.boostValue = boostValue;
}
@Override
public float getProgress() {
return Math.min(1f, context.getProgress() + boostValue);
}
}
ResourceUsageMatcherRunner(final TaskInputOutputContext context,
ResourceUsageMetrics metrics) {
Configuration conf = context.getConfiguration();
// set the resource calculator plugin
Class<? extends ResourceCalculatorPlugin> clazz =
conf.getClass(TTConfig.TT_RESOURCE_CALCULATOR_PLUGIN,
null, ResourceCalculatorPlugin.class);
ResourceCalculatorPlugin plugin =
ResourceCalculatorPlugin.getResourceCalculatorPlugin(clazz, conf);
// set the other parameters
this.sleepTime = conf.getLong(SLEEP_CONFIG, DEFAULT_SLEEP_TIME);
progress = new BoostingProgress(context);
// instantiate a resource-usage-matcher
matcher = new ResourceUsageMatcher();
matcher.configure(conf, plugin, metrics, progress);
}
protected void match() throws IOException, InterruptedException {
// match the resource usage
matcher.matchResourceUsage();
}
@Override
public void run() {
LOG.info("Resource usage matcher thread started.");
try {
while (progress.getProgress() < 1) {
// match
match();
// sleep for some time
try {
Thread.sleep(sleepTime);
} catch (Exception e) {}
}
// match for progress = 1
match();
LOG.info("Resource usage emulation complete! Matcher exiting");
} catch (Exception e) {
LOG.info("Exception while running the resource-usage-emulation matcher"
+ " thread! Exiting.", e);
}
}
@Override
public float getProgress() {
return matcher.getProgress();
}
// boost the progress bar as fasten up the emulation cycles.
void boost(float value) {
progress.setBoostValue(value);
}
}
// Makes sure that the TaskTracker doesn't kill the map/reduce tasks while
// they are emulating
private static class StatusReporter extends Thread {
private final TaskAttemptContext context;
private final Progressive progress;
StatusReporter(TaskAttemptContext context, Progressive progress) {
this.context = context;
this.progress = progress;
}
@Override
public void run() {
LOG.info("Status reporter thread started.");
try {
while (!isInterrupted() && progress.getProgress() < 1) {
// report progress
context.progress();
// sleep for some time
try {
Thread.sleep(100); // sleep for 100ms
} catch (Exception e) {}
}
LOG.info("Status reporter thread exiting");
} catch (Exception e) {
LOG.info("Exception while running the status reporter thread!", e);
}
}
}
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();
private ResourceUsageMatcherRunner matcher = null;
private StatusReporter reporter = null;
@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) {
// enable gridmix map output record for compression
boolean emulateMapOutputCompression =
CompressionEmulationUtil.isCompressionEmulationEnabled(conf)
&& conf.getBoolean(MRJobConfig.MAP_OUTPUT_COMPRESS, false);
float compressionRatio = 1.0f;
if (emulateMapOutputCompression) {
compressionRatio =
CompressionEmulationUtil.getMapOutputCompressionEmulationRatio(conf);
LOG.info("GridMix is configured to use a compression ratio of "
+ compressionRatio + " for the map output data.");
key.setCompressibility(true, compressionRatio);
val.setCompressibility(true, compressionRatio);
}
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);
spec.setResourceUsageSpecification(
split.getReduceResourceUsageMetrics(idx));
++idx;
id += maps;
}
// set the map output bytes such that the final reduce input bytes
// match the expected value obtained from the original job
long mapOutputBytes = reduceBytes[i];
if (emulateMapOutputCompression) {
mapOutputBytes /= compressionRatio;
}
reduces.add(new IntermediateRecordFactory(
new AvgRecordFactory(mapOutputBytes, reduceRecords[i], conf,
5*1024),
i, reduceRecords[i], spec, conf));
totalRecords += reduceRecords[i];
}
} else {
long mapOutputBytes = reduceBytes[0];
// enable gridmix job output compression
boolean emulateJobOutputCompression =
CompressionEmulationUtil.isCompressionEmulationEnabled(conf)
&& conf.getBoolean(FileOutputFormat.COMPRESS, false);
if (emulateJobOutputCompression) {
float compressionRatio =
CompressionEmulationUtil.getJobOutputCompressionEmulationRatio(conf);
LOG.info("GridMix is configured to use a compression ratio of "
+ compressionRatio + " for the job output data.");
key.setCompressibility(true, compressionRatio);
val.setCompressibility(true, compressionRatio);
// set the output size accordingly
mapOutputBytes /= compressionRatio;
}
reduces.add(new AvgRecordFactory(mapOutputBytes, reduceRecords[0],
conf, 5*1024));
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;
matcher = new ResourceUsageMatcherRunner(ctxt,
split.getMapResourceUsageMetrics());
matcher.setDaemon(true);
// start the status reporter thread
reporter = new StatusReporter(ctxt, matcher);
reporter.setDaemon(true);
reporter.start();
}
@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;
// match inline
try {
matcher.match();
} catch (Exception e) {
LOG.debug("Error in resource usage emulation! Message: ", e);
}
}
}
@Override
public void cleanup(Context context)
throws IOException, InterruptedException {
LOG.info("Starting the cleanup phase.");
for (RecordFactory factory : reduces) {
key.setSeed(r.nextLong());
while (factory.next(key, val)) {
// send the progress update (maybe make this a thread)
context.progress();
context.write(key, val);
key.setSeed(r.nextLong());
// match inline
try {
matcher.match();
} catch (Exception e) {
LOG.debug("Error in resource usage emulation! Message: ", e);
}
}
}
// check if the thread will get a chance to run or not
// check if there will be a sort&spill->merge phase or not
// check if the final sort&spill->merge phase is gonna happen or not
if (context.getNumReduceTasks() > 0
&& context.getCounter(TaskCounter.SPILLED_RECORDS).getValue() == 0) {
LOG.info("Boosting the map phase progress.");
// add the sort phase progress to the map phase and emulate
matcher.boost(0.33f);
matcher.match();
}
// start the matcher thread since the map phase ends here
matcher.start();
}
}
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;
private ResourceUsageMatcherRunner matcher = null;
private StatusReporter reporter = null;
@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;
ResourceUsageMetrics metrics = new ResourceUsageMetrics();
for (GridmixRecord ignored : context.getValues()) {
final GridmixKey spec = context.getCurrentKey();
inRecords += spec.getReduceInputRecords();
outBytes += spec.getReduceOutputBytes();
outRecords += spec.getReduceOutputRecords();
if (spec.getReduceResourceUsageMetrics() != null) {
metrics = spec.getReduceResourceUsageMetrics();
}
}
if (0 == outRecords && inRecords > 0) {
LOG.info("Spec output bytes w/o records. Using input record count");
outRecords = inRecords;
}
// enable gridmix reduce output record for compression
Configuration conf = context.getConfiguration();
if (CompressionEmulationUtil.isCompressionEmulationEnabled(conf)
&& FileOutputFormat.getCompressOutput(context)) {
float compressionRatio =
CompressionEmulationUtil
.getJobOutputCompressionEmulationRatio(conf);
LOG.info("GridMix is configured to use a compression ratio of "
+ compressionRatio + " for the reduce output data.");
val.setCompressibility(true, compressionRatio);
// Set the actual output data size to make sure that the actual output
// data size is same after compression
outBytes /= compressionRatio;
}
factory =
new AvgRecordFactory(outBytes, outRecords,
context.getConfiguration(), 5*1024);
ratio = outRecords / (1.0 * inRecords);
acc = 0.0;
matcher = new ResourceUsageMatcherRunner(context, metrics);
// start the status reporter thread
reporter = new StatusReporter(context, matcher);
reporter.start();
}
@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;
// match inline
try {
matcher.match();
} catch (Exception e) {
LOG.debug("Error in resource usage emulation! Message: ", e);
}
}
}
}
@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());
// match inline
try {
matcher.match();
} catch (Exception e) {
LOG.debug("Error in resource usage emulation! Message: ", e);
}
}
}
}
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];
final ResourceUsageMetrics[] metrics = new ResourceUsageMetrics[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();
metrics[j] = info.getResourceUsageMetrics();
if (LOG.isDebugEnabled()) {
LOG.debug(String.format("SPEC(%d) %d -> %d %d %d %d %d %d %d", id(), i,
i + j * maps, info.getOutputRecords(),
info.getOutputBytes(),
info.getResourceUsageMetrics().getCumulativeCpuUsage(),
info.getResourceUsageMetrics().getPhysicalMemoryUsage(),
info.getResourceUsageMetrics().getVirtualMemoryUsage(),
info.getResourceUsageMetrics().getHeapUsage()));
}
}
final TaskInfo info = jobdesc.getTaskInfo(TaskType.MAP, i);
long possiblyCompressedInputBytes = info.getInputBytes();
Configuration conf = job.getConfiguration();
long uncompressedInputBytes =
CompressionEmulationUtil.getUncompressedInputBytes(
possiblyCompressedInputBytes, conf);
splits.add(
new LoadSplit(striper.splitFor(inputDir, uncompressedInputBytes, 3),
maps, i, uncompressedInputBytes, info.getInputRecords(),
info.getOutputBytes(), info.getOutputRecords(),
reduceByteRatio, reduceRecordRatio, specBytes,
specRecords, info.getResourceUsageMetrics(),
metrics));
}
pushDescription(id(), splits);
}
}
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