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Mam ogromne nie. małych plików, chcę użyć CombineFileInputFormat, aby scalić pliki tak, że dane każdego pliku przychodzą jako pojedynczy rekord w mojej pracy MR. Śledzę http://yaseminavcular.blogspot.in/2011/03/many-small-input-files.html i starał się przekształcić go w nowym APICzytanie pliku jako pojedynczego rekordu w hadoopie
Jestem stoi 2 problemy:
a) jestem po prostu sprawdzając je za pomocą 2 małych plików, nadal 2 mappers są wypalane. Spodziewałem się 1
b) Każda linia nadchodzi jako pojedynczy rekord, chcę cały plik jako pojedynczy rekord.
To może być bolesne, ale proszę zajrzeć do kodu poniżej. Nadal jestem naiwny w Hadoop
Kierowca klasa
public class MRDriver extends Configured implements Tool {
@Override
public int run(String[] args) throws Exception {
FileSystem fs = new Path(".").getFileSystem(getConf());
fs.printStatistics();
Job job = new Job(getConf());
job.setJobName("Enron MR");
job.setMapperClass(EnronMailReadMapper.class);
job.setOutputKeyClass(Text.class);
job.setOutputValueClass(IntWritable.class);
job.setNumReduceTasks(0);
job.setJarByClass(EnronMailReadMapper.class);
RawCombineFileInputFormat.addInputPath(job, new Path(args[0]));
job.setOutputFormatClass(TextOutputFormat.class);
TextOutputFormat.setOutputPath(job, new Path(args[1]));
return job.waitForCompletion(true) ? 0 :1;
}
public static void main(String[] args) throws Exception {
int exitCode = ToolRunner.run(new MRDriver(), args);
System.exit(exitCode);
}
}
Poniższa klasa jest głównie skopiować pasty LineRecordReader z modyfikacją zainicjować) & nextKeyValue funkcja (()
public class SingleFileRecordReader extends RecordReader<LongWritable, Text> {
private static final Log LOG = LogFactory.getLog(SingleFileRecordReader.class);
private long start;
private long pos;
private long end;
private LineReader in;
private int maxLineLength;
private LongWritable key = null;
private Text value = null;
public void initialize(InputSplit genericSplit,
TaskAttemptContext context) throws IOException {
FileSplit split = (FileSplit) genericSplit;
Configuration job = context.getConfiguration();
this.maxLineLength = job.getInt("mapred.linerecordreader.maxlength",
Integer.MAX_VALUE);
start = split.getStart();
end = start + split.getLength();
final Path file = split.getPath();
// open the file and seek to the start of the split
FileSystem fs = file.getFileSystem(job);
FSDataInputStream fileIn = fs.open(split.getPath());
fileIn.seek(start);
in = new LineReader(fileIn, job);
// If this is not the first split, we always throw away first record
// because we always (except the last split) read one extra line in
// next() method.
if (start != 0) {
start += in.readLine(new Text(), 0, maxBytesToConsume(start));
}
this.pos = start;
}
private int maxBytesToConsume(long pos) {
return (int) Math.min(Integer.MAX_VALUE, end - pos);
}
private long getFilePosition() throws IOException {
long retVal= pos;
return retVal;
}
public boolean nextKeyValue() throws IOException {
if (key == null) {
key = new LongWritable();
}
key.set(pos);
if (value == null) {
value = new Text();
}
int newSize = 0;
StringBuffer totalValue = new StringBuffer();
// We always read one extra line, which lies outside the upper
// split limit i.e. (end - 1)
while (getFilePosition() <= end) {
newSize = in.readLine(value, maxLineLength,
Math.max(maxBytesToConsume(pos), maxLineLength));
if (newSize == 0) {
break;
}
totalValue.append(value.toString()+"\n");
pos += newSize;
if (newSize < maxLineLength) {
break;
}
// line too long. try again
LOG.info("Skipped line of size " + newSize + " at pos " +
(pos - newSize));
}
if (newSize == 0) {
key = null;
value = null;
return false;
} else {
value = new Text(totalValue.toString());
return true;
}
}
@Override
public LongWritable getCurrentKey() {
return key;
}
@Override
public Text getCurrentValue() {
return value;
}
/**
* Get the progress within the split
*/
public float getProgress() throws IOException {
if (start == end) {
return 0.0f;
} else {
return Math.min(1.0f,
(getFilePosition() - start)/(float)(end - start));
}
}
public synchronized void close() throws IOException {
try {
if (in != null) {
in.close();
}
} finally {
}
}
}
Ot Jej pliki
public class RawCombineFileInputFormat extends CombineFileInputFormat <LongWritable,Text>{
@Override
public RecordReader<LongWritable, Text> createRecordReader(
InputSplit split, TaskAttemptContext context) throws IOException {
return new CombineFileRecordReader< LongWritable, Text >((CombineFileSplit) split, context, MultiFileRecordReader.class);
}
}
I
public class MultiFileRecordReader extends RecordReader < LongWritable, Text > {
private CombineFileSplit split;
private TaskAttemptContext context;
private int index;
private RecordReader< LongWritable, Text > rr;
public MultiFileRecordReader(CombineFileSplit split, TaskAttemptContext context, Integer index) {
this.split = split;
this.context = context;
this.index = index;
this.rr = new SingleFileRecordReader();
}
@Override
public void initialize(InputSplit split, TaskAttemptContext context)
throws IOException, InterruptedException {
this.split = (CombineFileSplit) split;
this.context = context;
if (null == rr) {
rr = new SingleFileRecordReader();
}
FileSplit fileSplit = new FileSplit(this.split.getPath(index),
this.split.getOffset(index),
this.split.getLength(index),
this.split.getLocations());
this.rr.initialize(fileSplit, this.context);
}
@Override
public boolean nextKeyValue() throws IOException, InterruptedException {
// TODO Auto-generated method stub
return this.rr.nextKeyValue();
}
@Override
public LongWritable getCurrentKey() throws IOException, InterruptedException {
// TODO Auto-generated method stub
return this.rr.getCurrentKey();
}
@Override
public Text getCurrentValue() throws IOException, InterruptedException {
// TODO Auto-generated method stub
return this.rr.getCurrentValue();
}
@Override
public float getProgress() throws IOException, InterruptedException {
// TODO Auto-generated method stub
return this.rr.getProgress();
}
@Override
public void close() throws IOException {
if (rr != null) {
rr.close();
rr = null;
}
}
}
trzeba ustawić maksymalną wielkość podziału, do których pliki są łączone. Możesz to przeczytać w dokumentacji 'CombineFileInputFormat'. –