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java.lang.Objectorg.apache.hadoop.conf.Configured
org.apache.hadoop.examples.SleepJob.SleepInputFormat
public static class SleepJob.SleepInputFormat
Constructor Summary | |
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SleepJob.SleepInputFormat()
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Method Summary | |
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RecordReader<IntWritable,IntWritable> |
getRecordReader(InputSplit ignored,
JobConf conf,
Reporter reporter)
Get the RecordReader for the given InputSplit . |
InputSplit[] |
getSplits(JobConf conf,
int numSplits)
Logically split the set of input files for the job. |
Methods inherited from class org.apache.hadoop.conf.Configured |
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getConf, setConf |
Methods inherited from class java.lang.Object |
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clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Constructor Detail |
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public SleepJob.SleepInputFormat()
Method Detail |
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public InputSplit[] getSplits(JobConf conf, int numSplits)
InputFormat
Each InputSplit
is then assigned to an individual Mapper
for processing.
Note: The split is a logical split of the inputs and the input files are not physically split into chunks. For e.g. a split could be <input-file-path, start, offset> tuple.
getSplits
in interface InputFormat<IntWritable,IntWritable>
conf
- job configuration.numSplits
- the desired number of splits, a hint.
InputSplit
s for the job.public RecordReader<IntWritable,IntWritable> getRecordReader(InputSplit ignored, JobConf conf, Reporter reporter) throws java.io.IOException
InputFormat
RecordReader
for the given InputSplit
.
It is the responsibility of the RecordReader
to respect
record boundaries while processing the logical split to present a
record-oriented view to the individual task.
getRecordReader
in interface InputFormat<IntWritable,IntWritable>
ignored
- the InputSplit
conf
- the job that this split belongs to
RecordReader
java.io.IOException
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