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Hadoop is the distributed computing framework of Apache; hadoop-core contains
the filesystem, job tracker and map/reduce modules
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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;
import java.io.DataInput;
import java.io.DataOutput;
import java.io.IOException;
import java.lang.reflect.Constructor;
import java.lang.reflect.InvocationTargetException;
import java.text.NumberFormat;
import java.util.HashMap;
import java.util.Iterator;
import java.util.Map;
import java.util.NoSuchElementException;
import java.util.concurrent.atomic.AtomicBoolean;
import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import org.apache.hadoop.conf.Configurable;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.LocalDirAllocator;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.fs.FileSystem.Statistics;
import org.apache.hadoop.io.DataInputBuffer;
import org.apache.hadoop.io.RawComparator;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.io.Writable;
import org.apache.hadoop.io.serializer.Deserializer;
import org.apache.hadoop.io.serializer.SerializationFactory;
import org.apache.hadoop.mapred.Counters.Counter;
import org.apache.hadoop.mapred.IFile.Writer;
import org.apache.hadoop.net.NetUtils;
import org.apache.hadoop.util.Progress;
import org.apache.hadoop.util.Progressable;
import org.apache.hadoop.util.ReflectionUtils;
import org.apache.hadoop.util.StringUtils;
/** Base class for tasks. */
abstract class Task implements Writable, Configurable {
private static final Log LOG =
LogFactory.getLog("org.apache.hadoop.mapred.TaskRunner");
// Counters used by Task subclasses
protected static enum Counter {
MAP_INPUT_RECORDS,
MAP_OUTPUT_RECORDS,
MAP_SKIPPED_RECORDS,
MAP_INPUT_BYTES,
MAP_OUTPUT_BYTES,
COMBINE_INPUT_RECORDS,
COMBINE_OUTPUT_RECORDS,
REDUCE_INPUT_GROUPS,
REDUCE_SHUFFLE_BYTES,
REDUCE_INPUT_RECORDS,
REDUCE_OUTPUT_RECORDS,
REDUCE_SKIPPED_GROUPS,
REDUCE_SKIPPED_RECORDS,
SPILLED_RECORDS
}
/**
* Counters to measure the usage of the different file systems.
* Always return the String array with two elements. First one is the name of
* BYTES_READ counter and second one is of the BYTES_WRITTEN counter.
*/
protected static String[] getFileSystemCounterNames(String uriScheme) {
String scheme = uriScheme.toUpperCase();
return new String[]{scheme+"_BYTES_READ", scheme+"_BYTES_WRITTEN"};
}
/**
* Name of the FileSystem counters' group
*/
protected static final String FILESYSTEM_COUNTER_GROUP = "FileSystemCounters";
///////////////////////////////////////////////////////////
// Helper methods to construct task-output paths
///////////////////////////////////////////////////////////
/** Construct output file names so that, when an output directory listing is
* sorted lexicographically, positions correspond to output partitions.*/
private static final NumberFormat NUMBER_FORMAT = NumberFormat.getInstance();
static {
NUMBER_FORMAT.setMinimumIntegerDigits(5);
NUMBER_FORMAT.setGroupingUsed(false);
}
static synchronized String getOutputName(int partition) {
return "part-" + NUMBER_FORMAT.format(partition);
}
////////////////////////////////////////////
// Fields
////////////////////////////////////////////
private String jobFile; // job configuration file
private TaskAttemptID taskId; // unique, includes job id
private int partition; // id within job
TaskStatus taskStatus; // current status of the task
protected boolean jobCleanup = false;
protected boolean jobSetup = false;
protected boolean taskCleanup = false;
//skip ranges based on failed ranges from previous attempts
private SortedRanges skipRanges = new SortedRanges();
private boolean skipping = false;
private boolean writeSkipRecs = true;
//currently processing record start index
private volatile long currentRecStartIndex;
private Iterator currentRecIndexIterator =
skipRanges.skipRangeIterator();
protected JobConf conf;
protected MapOutputFile mapOutputFile = new MapOutputFile();
protected LocalDirAllocator lDirAlloc;
private final static int MAX_RETRIES = 10;
protected JobContext jobContext;
protected TaskAttemptContext taskContext;
protected org.apache.hadoop.mapreduce.OutputFormat outputFormat;
protected org.apache.hadoop.mapreduce.OutputCommitter committer;
protected final Counters.Counter spilledRecordsCounter;
private String pidFile = "";
protected TaskUmbilicalProtocol umbilical;
////////////////////////////////////////////
// Constructors
////////////////////////////////////////////
public Task() {
taskStatus = TaskStatus.createTaskStatus(isMapTask());
taskId = new TaskAttemptID();
spilledRecordsCounter = counters.findCounter(Counter.SPILLED_RECORDS);
}
public Task(String jobFile, TaskAttemptID taskId, int partition) {
this.jobFile = jobFile;
this.taskId = taskId;
this.partition = partition;
this.taskStatus = TaskStatus.createTaskStatus(isMapTask(), this.taskId,
0.0f,
TaskStatus.State.UNASSIGNED,
"", "", "",
isMapTask() ?
TaskStatus.Phase.MAP :
TaskStatus.Phase.SHUFFLE,
counters);
this.mapOutputFile.setJobId(taskId.getJobID());
spilledRecordsCounter = counters.findCounter(Counter.SPILLED_RECORDS);
}
////////////////////////////////////////////
// Accessors
////////////////////////////////////////////
public void setJobFile(String jobFile) { this.jobFile = jobFile; }
public String getJobFile() { return jobFile; }
public TaskAttemptID getTaskID() { return taskId; }
Counters getCounters() { return counters; }
public void setPidFile(String pidFile) {
this.pidFile = pidFile;
}
public String getPidFile() {
return pidFile;
}
/**
* Get the job name for this task.
* @return the job name
*/
public JobID getJobID() {
return taskId.getJobID();
}
/**
* Get the index of this task within the job.
* @return the integer part of the task id
*/
public int getPartition() {
return partition;
}
/**
* Return current phase of the task.
* needs to be synchronized as communication thread sends the phase every second
* @return
*/
public synchronized TaskStatus.Phase getPhase(){
return this.taskStatus.getPhase();
}
/**
* Set current phase of the task.
* @param p
*/
protected synchronized void setPhase(TaskStatus.Phase phase){
this.taskStatus.setPhase(phase);
}
/**
* Get whether to write skip records.
*/
protected boolean toWriteSkipRecs() {
return writeSkipRecs;
}
/**
* Set whether to write skip records.
*/
protected void setWriteSkipRecs(boolean writeSkipRecs) {
this.writeSkipRecs = writeSkipRecs;
}
/**
* Report a fatal error to the parent (task) tracker.
*/
protected void reportFatalError(TaskAttemptID id, Throwable throwable,
String logMsg) {
LOG.fatal(logMsg);
Throwable tCause = throwable.getCause();
String cause = tCause == null
? StringUtils.stringifyException(throwable)
: StringUtils.stringifyException(tCause);
try {
umbilical.fatalError(id, cause);
} catch (IOException ioe) {
LOG.fatal("Failed to contact the tasktracker", ioe);
System.exit(-1);
}
}
/**
* Get skipRanges.
*/
public SortedRanges getSkipRanges() {
return skipRanges;
}
/**
* Set skipRanges.
*/
public void setSkipRanges(SortedRanges skipRanges) {
this.skipRanges = skipRanges;
}
/**
* Is Task in skipping mode.
*/
public boolean isSkipping() {
return skipping;
}
/**
* Sets whether to run Task in skipping mode.
* @param skipping
*/
public void setSkipping(boolean skipping) {
this.skipping = skipping;
}
/**
* Return current state of the task.
* needs to be synchronized as communication thread
* sends the state every second
* @return
*/
synchronized TaskStatus.State getState(){
return this.taskStatus.getRunState();
}
/**
* Set current state of the task.
* @param state
*/
synchronized void setState(TaskStatus.State state){
this.taskStatus.setRunState(state);
}
void setTaskCleanupTask() {
taskCleanup = true;
}
boolean isTaskCleanupTask() {
return taskCleanup;
}
boolean isJobCleanupTask() {
return jobCleanup;
}
boolean isJobSetupTask() {
return jobSetup;
}
void setJobSetupTask() {
jobSetup = true;
}
void setJobCleanupTask() {
jobCleanup = true;
}
boolean isMapOrReduce() {
return !jobSetup && !jobCleanup && !taskCleanup;
}
////////////////////////////////////////////
// Writable methods
////////////////////////////////////////////
public void write(DataOutput out) throws IOException {
Text.writeString(out, jobFile);
taskId.write(out);
out.writeInt(partition);
taskStatus.write(out);
skipRanges.write(out);
out.writeBoolean(skipping);
out.writeBoolean(jobCleanup);
out.writeBoolean(jobSetup);
out.writeBoolean(writeSkipRecs);
out.writeBoolean(taskCleanup);
Text.writeString(out, pidFile);
}
public void readFields(DataInput in) throws IOException {
jobFile = Text.readString(in);
taskId = TaskAttemptID.read(in);
partition = in.readInt();
taskStatus.readFields(in);
this.mapOutputFile.setJobId(taskId.getJobID());
skipRanges.readFields(in);
currentRecIndexIterator = skipRanges.skipRangeIterator();
currentRecStartIndex = currentRecIndexIterator.next();
skipping = in.readBoolean();
jobCleanup = in.readBoolean();
jobSetup = in.readBoolean();
writeSkipRecs = in.readBoolean();
taskCleanup = in.readBoolean();
if (taskCleanup) {
setPhase(TaskStatus.Phase.CLEANUP);
}
pidFile = Text.readString(in);
}
@Override
public String toString() { return taskId.toString(); }
/**
* Localize the given JobConf to be specific for this task.
*/
public void localizeConfiguration(JobConf conf) throws IOException {
conf.set("mapred.tip.id", taskId.getTaskID().toString());
conf.set("mapred.task.id", taskId.toString());
conf.setBoolean("mapred.task.is.map", isMapTask());
conf.setInt("mapred.task.partition", partition);
conf.set("mapred.job.id", taskId.getJobID().toString());
}
/** Run this task as a part of the named job. This method is executed in the
* child process and is what invokes user-supplied map, reduce, etc. methods.
* @param umbilical for progress reports
*/
public abstract void run(JobConf job, TaskUmbilicalProtocol umbilical)
throws IOException, ClassNotFoundException, InterruptedException;
/** Return an approprate thread runner for this task.
* @param tip TODO*/
public abstract TaskRunner createRunner(TaskTracker tracker,
TaskTracker.TaskInProgress tip) throws IOException;
/** The number of milliseconds between progress reports. */
public static final int PROGRESS_INTERVAL = 3000;
private transient Progress taskProgress = new Progress();
// Current counters
private transient Counters counters = new Counters();
/* flag to track whether task is done */
private AtomicBoolean taskDone = new AtomicBoolean(false);
public abstract boolean isMapTask();
public Progress getProgress() { return taskProgress; }
public void initialize(JobConf job, JobID id,
Reporter reporter,
boolean useNewApi) throws IOException,
ClassNotFoundException,
InterruptedException {
jobContext = new JobContext(job, id, reporter);
taskContext = new TaskAttemptContext(job, taskId, reporter);
if (getState() == TaskStatus.State.UNASSIGNED) {
setState(TaskStatus.State.RUNNING);
}
if (useNewApi) {
LOG.debug("using new api for output committer");
outputFormat =
ReflectionUtils.newInstance(taskContext.getOutputFormatClass(), job);
committer = outputFormat.getOutputCommitter(taskContext);
} else {
committer = conf.getOutputCommitter();
}
Path outputPath = FileOutputFormat.getOutputPath(conf);
if (outputPath != null) {
if ((committer instanceof FileOutputCommitter)) {
FileOutputFormat.setWorkOutputPath(conf,
((FileOutputCommitter)committer).getTempTaskOutputPath(taskContext));
} else {
FileOutputFormat.setWorkOutputPath(conf, outputPath);
}
}
committer.setupTask(taskContext);
}
protected class TaskReporter
extends org.apache.hadoop.mapreduce.StatusReporter
implements Runnable, Reporter {
private TaskUmbilicalProtocol umbilical;
private InputSplit split = null;
private Progress taskProgress;
private Thread pingThread = null;
/**
* flag that indicates whether progress update needs to be sent to parent.
* If true, it has been set. If false, it has been reset.
* Using AtomicBoolean since we need an atomic read & reset method.
*/
private AtomicBoolean progressFlag = new AtomicBoolean(false);
TaskReporter(Progress taskProgress,
TaskUmbilicalProtocol umbilical) {
this.umbilical = umbilical;
this.taskProgress = taskProgress;
}
// getters and setters for flag
void setProgressFlag() {
progressFlag.set(true);
}
boolean resetProgressFlag() {
return progressFlag.getAndSet(false);
}
public void setStatus(String status) {
taskProgress.setStatus(status);
// indicate that progress update needs to be sent
setProgressFlag();
}
public void setProgress(float progress) {
taskProgress.set(progress);
// indicate that progress update needs to be sent
setProgressFlag();
}
public void progress() {
// indicate that progress update needs to be sent
setProgressFlag();
}
public Counters.Counter getCounter(String group, String name) {
Counters.Counter counter = null;
if (counters != null) {
counter = counters.findCounter(group, name);
}
return counter;
}
public Counters.Counter getCounter(Enum name) {
return counters == null ? null : counters.findCounter(name);
}
public void incrCounter(Enum key, long amount) {
if (counters != null) {
counters.incrCounter(key, amount);
}
setProgressFlag();
}
public void incrCounter(String group, String counter, long amount) {
if (counters != null) {
counters.incrCounter(group, counter, amount);
}
if(skipping && SkipBadRecords.COUNTER_GROUP.equals(group) && (
SkipBadRecords.COUNTER_MAP_PROCESSED_RECORDS.equals(counter) ||
SkipBadRecords.COUNTER_REDUCE_PROCESSED_GROUPS.equals(counter))) {
//if application reports the processed records, move the
//currentRecStartIndex to the next.
//currentRecStartIndex is the start index which has not yet been
//finished and is still in task's stomach.
for(int i=0;i URIScheme and value->FileSystemStatisticUpdater
*/
private Map statisticUpdaters =
new HashMap();
private synchronized void updateCounters() {
for(Statistics stat: FileSystem.getAllStatistics()) {
String uriScheme = stat.getScheme();
FileSystemStatisticUpdater updater = statisticUpdaters.get(uriScheme);
if(updater==null) {//new FileSystem has been found in the cache
updater = new FileSystemStatisticUpdater(uriScheme, stat);
statisticUpdaters.put(uriScheme, updater);
}
updater.updateCounters();
}
}
public void done(TaskUmbilicalProtocol umbilical,
TaskReporter reporter
) throws IOException, InterruptedException {
LOG.info("Task:" + taskId + " is done."
+ " And is in the process of commiting");
updateCounters();
// check whether the commit is required.
boolean commitRequired = committer.needsTaskCommit(taskContext);
if (commitRequired) {
int retries = MAX_RETRIES;
setState(TaskStatus.State.COMMIT_PENDING);
// say the task tracker that task is commit pending
while (true) {
try {
umbilical.commitPending(taskId, taskStatus);
break;
} catch (InterruptedException ie) {
// ignore
} catch (IOException ie) {
LOG.warn("Failure sending commit pending: " +
StringUtils.stringifyException(ie));
if (--retries == 0) {
System.exit(67);
}
}
}
//wait for commit approval and commit
commit(umbilical, reporter, committer);
}
taskDone.set(true);
reporter.stopCommunicationThread();
sendLastUpdate(umbilical);
//signal the tasktracker that we are done
sendDone(umbilical);
}
protected void statusUpdate(TaskUmbilicalProtocol umbilical)
throws IOException {
int retries = MAX_RETRIES;
while (true) {
try {
if (!umbilical.statusUpdate(getTaskID(), taskStatus)) {
LOG.warn("Parent died. Exiting "+taskId);
System.exit(66);
}
taskStatus.clearStatus();
return;
} catch (InterruptedException ie) {
Thread.currentThread().interrupt(); // interrupt ourself
} catch (IOException ie) {
LOG.warn("Failure sending status update: " +
StringUtils.stringifyException(ie));
if (--retries == 0) {
throw ie;
}
}
}
}
private void sendLastUpdate(TaskUmbilicalProtocol umbilical)
throws IOException {
// send a final status report
taskStatus.statusUpdate(taskProgress.get(),
taskProgress.toString(),
counters);
statusUpdate(umbilical);
}
private void sendDone(TaskUmbilicalProtocol umbilical) throws IOException {
int retries = MAX_RETRIES;
while (true) {
try {
umbilical.done(getTaskID());
LOG.info("Task '" + taskId + "' done.");
return;
} catch (IOException ie) {
LOG.warn("Failure signalling completion: " +
StringUtils.stringifyException(ie));
if (--retries == 0) {
throw ie;
}
}
}
}
private void commit(TaskUmbilicalProtocol umbilical,
TaskReporter reporter,
org.apache.hadoop.mapreduce.OutputCommitter committer
) throws IOException {
int retries = MAX_RETRIES;
while (true) {
try {
while (!umbilical.canCommit(taskId)) {
try {
Thread.sleep(1000);
} catch(InterruptedException ie) {
//ignore
}
reporter.setProgressFlag();
}
break;
} catch (IOException ie) {
LOG.warn("Failure asking whether task can commit: " +
StringUtils.stringifyException(ie));
if (--retries == 0) {
//if it couldn't query successfully then delete the output
discardOutput(taskContext);
System.exit(68);
}
}
}
// task can Commit now
try {
LOG.info("Task " + taskId + " is allowed to commit now");
committer.commitTask(taskContext);
return;
} catch (IOException iee) {
LOG.warn("Failure committing: " +
StringUtils.stringifyException(iee));
//if it couldn't commit a successfully then delete the output
discardOutput(taskContext);
throw iee;
}
}
private
void discardOutput(TaskAttemptContext taskContext) {
try {
committer.abortTask(taskContext);
} catch (IOException ioe) {
LOG.warn("Failure cleaning up: " +
StringUtils.stringifyException(ioe));
}
}
protected void runTaskCleanupTask(TaskUmbilicalProtocol umbilical,
TaskReporter reporter)
throws IOException, InterruptedException {
taskCleanup(umbilical);
done(umbilical, reporter);
}
void taskCleanup(TaskUmbilicalProtocol umbilical)
throws IOException {
// set phase for this task
setPhase(TaskStatus.Phase.CLEANUP);
getProgress().setStatus("cleanup");
statusUpdate(umbilical);
LOG.info("Runnning cleanup for the task");
// do the cleanup
committer.abortTask(taskContext);
}
protected void runJobCleanupTask(TaskUmbilicalProtocol umbilical,
TaskReporter reporter
) throws IOException, InterruptedException {
// set phase for this task
setPhase(TaskStatus.Phase.CLEANUP);
getProgress().setStatus("cleanup");
statusUpdate(umbilical);
// do the cleanup
committer.cleanupJob(jobContext);
done(umbilical, reporter);
}
protected void runJobSetupTask(TaskUmbilicalProtocol umbilical,
TaskReporter reporter
) throws IOException, InterruptedException {
// do the setup
getProgress().setStatus("setup");
committer.setupJob(jobContext);
done(umbilical, reporter);
}
public void setConf(Configuration conf) {
if (conf instanceof JobConf) {
this.conf = (JobConf) conf;
} else {
this.conf = new JobConf(conf);
}
this.mapOutputFile.setConf(this.conf);
this.lDirAlloc = new LocalDirAllocator("mapred.local.dir");
// add the static resolutions (this is required for the junit to
// work on testcases that simulate multiple nodes on a single physical
// node.
String hostToResolved[] = conf.getStrings("hadoop.net.static.resolutions");
if (hostToResolved != null) {
for (String str : hostToResolved) {
String name = str.substring(0, str.indexOf('='));
String resolvedName = str.substring(str.indexOf('=') + 1);
NetUtils.addStaticResolution(name, resolvedName);
}
}
}
public Configuration getConf() {
return this.conf;
}
/**
* OutputCollector for the combiner.
*/
protected static class CombineOutputCollector
implements OutputCollector {
private Writer writer;
private Counters.Counter outCounter;
public CombineOutputCollector(Counters.Counter outCounter) {
this.outCounter = outCounter;
}
public synchronized void setWriter(Writer writer) {
this.writer = writer;
}
public synchronized void collect(K key, V value)
throws IOException {
outCounter.increment(1);
writer.append(key, value);
}
}
/** Iterates values while keys match in sorted input. */
static class ValuesIterator implements Iterator {
protected RawKeyValueIterator in; //input iterator
private KEY key; // current key
private KEY nextKey;
private VALUE value; // current value
private boolean hasNext; // more w/ this key
private boolean more; // more in file
private RawComparator comparator;
protected Progressable reporter;
private Deserializer keyDeserializer;
private Deserializer valDeserializer;
private DataInputBuffer keyIn = new DataInputBuffer();
private DataInputBuffer valueIn = new DataInputBuffer();
public ValuesIterator (RawKeyValueIterator in,
RawComparator comparator,
Class keyClass,
Class valClass, Configuration conf,
Progressable reporter)
throws IOException {
this.in = in;
this.comparator = comparator;
this.reporter = reporter;
SerializationFactory serializationFactory = new SerializationFactory(conf);
this.keyDeserializer = serializationFactory.getDeserializer(keyClass);
this.keyDeserializer.open(keyIn);
this.valDeserializer = serializationFactory.getDeserializer(valClass);
this.valDeserializer.open(this.valueIn);
readNextKey();
key = nextKey;
nextKey = null; // force new instance creation
hasNext = more;
}
RawKeyValueIterator getRawIterator() { return in; }
/// Iterator methods
public boolean hasNext() { return hasNext; }
private int ctr = 0;
public VALUE next() {
if (!hasNext) {
throw new NoSuchElementException("iterate past last value");
}
try {
readNextValue();
readNextKey();
} catch (IOException ie) {
throw new RuntimeException("problem advancing post rec#"+ctr, ie);
}
reporter.progress();
return value;
}
public void remove() { throw new RuntimeException("not implemented"); }
/// Auxiliary methods
/** Start processing next unique key. */
void nextKey() throws IOException {
// read until we find a new key
while (hasNext) {
readNextKey();
}
++ctr;
// move the next key to the current one
KEY tmpKey = key;
key = nextKey;
nextKey = tmpKey;
hasNext = more;
}
/** True iff more keys remain. */
boolean more() {
return more;
}
/** The current key. */
KEY getKey() {
return key;
}
/**
* read the next key
*/
private void readNextKey() throws IOException {
more = in.next();
if (more) {
DataInputBuffer nextKeyBytes = in.getKey();
keyIn.reset(nextKeyBytes.getData(), nextKeyBytes.getPosition(), nextKeyBytes.getLength());
nextKey = keyDeserializer.deserialize(nextKey);
hasNext = key != null && (comparator.compare(key, nextKey) == 0);
} else {
hasNext = false;
}
}
/**
* Read the next value
* @throws IOException
*/
private void readNextValue() throws IOException {
DataInputBuffer nextValueBytes = in.getValue();
valueIn.reset(nextValueBytes.getData(), nextValueBytes.getPosition(), nextValueBytes.getLength());
value = valDeserializer.deserialize(value);
}
}
protected static class CombineValuesIterator
extends ValuesIterator {
private final Counters.Counter combineInputCounter;
public CombineValuesIterator(RawKeyValueIterator in,
RawComparator comparator, Class keyClass,
Class valClass, Configuration conf, Reporter reporter,
Counters.Counter combineInputCounter) throws IOException {
super(in, comparator, keyClass, valClass, conf, reporter);
this.combineInputCounter = combineInputCounter;
}
public VALUE next() {
combineInputCounter.increment(1);
return super.next();
}
}
private static final Constructor
contextConstructor;
static {
try {
contextConstructor =
org.apache.hadoop.mapreduce.Reducer.Context.class.getConstructor
(new Class[]{org.apache.hadoop.mapreduce.Reducer.class,
Configuration.class,
org.apache.hadoop.mapreduce.TaskAttemptID.class,
RawKeyValueIterator.class,
org.apache.hadoop.mapreduce.Counter.class,
org.apache.hadoop.mapreduce.Counter.class,
org.apache.hadoop.mapreduce.RecordWriter.class,
org.apache.hadoop.mapreduce.OutputCommitter.class,
org.apache.hadoop.mapreduce.StatusReporter.class,
RawComparator.class,
Class.class,
Class.class});
} catch (NoSuchMethodException nme) {
throw new IllegalArgumentException("Can't find constructor");
}
}
@SuppressWarnings("unchecked")
protected static
org.apache.hadoop.mapreduce.Reducer.Context
createReduceContext(org.apache.hadoop.mapreduce.Reducer
reducer,
Configuration job,
org.apache.hadoop.mapreduce.TaskAttemptID taskId,
RawKeyValueIterator rIter,
org.apache.hadoop.mapreduce.Counter inputKeyCounter,
org.apache.hadoop.mapreduce.Counter inputValueCounter,
org.apache.hadoop.mapreduce.RecordWriter output,
org.apache.hadoop.mapreduce.OutputCommitter committer,
org.apache.hadoop.mapreduce.StatusReporter reporter,
RawComparator comparator,
Class keyClass, Class valueClass
) throws IOException, ClassNotFoundException {
try {
return contextConstructor.newInstance(reducer, job, taskId,
rIter, inputKeyCounter,
inputValueCounter, output,
committer, reporter, comparator,
keyClass, valueClass);
} catch (InstantiationException e) {
throw new IOException("Can't create Context", e);
} catch (InvocationTargetException e) {
throw new IOException("Can't invoke Context constructor", e);
} catch (IllegalAccessException e) {
throw new IOException("Can't invoke Context constructor", e);
}
}
protected static abstract class CombinerRunner {
protected final Counters.Counter inputCounter;
protected final JobConf job;
protected final TaskReporter reporter;
CombinerRunner(Counters.Counter inputCounter,
JobConf job,
TaskReporter reporter) {
this.inputCounter = inputCounter;
this.job = job;
this.reporter = reporter;
}
/**
* Run the combiner over a set of inputs.
* @param iterator the key/value pairs to use as input
* @param collector the output collector
*/
abstract void combine(RawKeyValueIterator iterator,
OutputCollector collector
) throws IOException, InterruptedException,
ClassNotFoundException;
@SuppressWarnings("unchecked")
static
CombinerRunner create(JobConf job,
TaskAttemptID taskId,
Counters.Counter inputCounter,
TaskReporter reporter,
org.apache.hadoop.mapreduce.OutputCommitter committer
) throws ClassNotFoundException {
Class> cls =
(Class>) job.getCombinerClass();
if (cls != null) {
return new OldCombinerRunner(cls, job, inputCounter, reporter);
}
// make a task context so we can get the classes
org.apache.hadoop.mapreduce.TaskAttemptContext taskContext =
new org.apache.hadoop.mapreduce.TaskAttemptContext(job, taskId);
Class> newcls =
(Class>)
taskContext.getCombinerClass();
if (newcls != null) {
return new NewCombinerRunner(newcls, job, taskId, taskContext,
inputCounter, reporter, committer);
}
return null;
}
}
protected static class OldCombinerRunner extends CombinerRunner {
private final Class> combinerClass;
private final Class keyClass;
private final Class valueClass;
private final RawComparator comparator;
@SuppressWarnings("unchecked")
protected OldCombinerRunner(Class> cls,
JobConf conf,
Counters.Counter inputCounter,
TaskReporter reporter) {
super(inputCounter, conf, reporter);
combinerClass = cls;
keyClass = (Class) job.getMapOutputKeyClass();
valueClass = (Class) job.getMapOutputValueClass();
comparator = (RawComparator) job.getOutputKeyComparator();
}
@SuppressWarnings("unchecked")
protected void combine(RawKeyValueIterator kvIter,
OutputCollector combineCollector
) throws IOException {
Reducer combiner =
ReflectionUtils.newInstance(combinerClass, job);
try {
CombineValuesIterator values =
new CombineValuesIterator(kvIter, comparator, keyClass,
valueClass, job, Reporter.NULL,
inputCounter);
while (values.more()) {
combiner.reduce(values.getKey(), values, combineCollector,
Reporter.NULL);
values.nextKey();
}
} finally {
combiner.close();
}
}
}
protected static class NewCombinerRunner extends CombinerRunner {
private final Class>
reducerClass;
private final org.apache.hadoop.mapreduce.TaskAttemptID taskId;
private final RawComparator comparator;
private final Class keyClass;
private final Class valueClass;
private final org.apache.hadoop.mapreduce.OutputCommitter committer;
@SuppressWarnings("unchecked")
NewCombinerRunner(Class reducerClass,
JobConf job,
org.apache.hadoop.mapreduce.TaskAttemptID taskId,
org.apache.hadoop.mapreduce.TaskAttemptContext context,
Counters.Counter inputCounter,
TaskReporter reporter,
org.apache.hadoop.mapreduce.OutputCommitter committer) {
super(inputCounter, job, reporter);
this.reducerClass = reducerClass;
this.taskId = taskId;
keyClass = (Class) context.getMapOutputKeyClass();
valueClass = (Class) context.getMapOutputValueClass();
comparator = (RawComparator) context.getSortComparator();
this.committer = committer;
}
private static class OutputConverter
extends org.apache.hadoop.mapreduce.RecordWriter {
OutputCollector output;
OutputConverter(OutputCollector output) {
this.output = output;
}
@Override
public void close(org.apache.hadoop.mapreduce.TaskAttemptContext context){
}
@Override
public void write(K key, V value
) throws IOException, InterruptedException {
output.collect(key,value);
}
}
@SuppressWarnings("unchecked")
@Override
void combine(RawKeyValueIterator iterator,
OutputCollector collector
) throws IOException, InterruptedException,
ClassNotFoundException {
// make a reducer
org.apache.hadoop.mapreduce.Reducer reducer =
(org.apache.hadoop.mapreduce.Reducer)
ReflectionUtils.newInstance(reducerClass, job);
org.apache.hadoop.mapreduce.Reducer.Context
reducerContext = createReduceContext(reducer, job, taskId,
iterator, null, inputCounter,
new OutputConverter(collector),
committer,
reporter, comparator, keyClass,
valueClass);
reducer.run(reducerContext);
}
}
}