NLineInputFormat (Hadoop 0.20.2+737 API)
Date: 2010-10-11

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## org.apache.hadoop.mapred.lib
Class NLineInputFormat

    java.lang.Object
      org.apache.hadoop.mapred.FileInputFormat<LongWritable,Text>
          org.apache.hadoop.mapred.lib.NLineInputFormat

All Implemented Interfaces:
  InputFormat<LongWritable,Text>, JobConfigurable

    public class NLineInputFormat

extends FileInputFormat<LongWritable,Text>
implements JobConfigurable

NLineInputFormat which splits N lines of input as one split. In many "pleasantly" parallel applications, each process/mapper processes the same input file (s), but with computations are controlled by different parameters.(Referred to as "parameter sweeps"). One way to achieve this, is to specify a set of parameters (one set per line) as input in a control file (which is the input path to the map-reduce application, where as the input dataset is specified via a config variable in JobConf.). The NLineInputFormat can be used in such applications, that splits the input file such that by default, one line is fed as a value to one map task, and key is the offset. i.e. (k,v) is (LongWritable, Text). The location hints will span the whole mapred cluster.

Field Summary

Fields inherited from class org.apache.hadoop.mapred.FileInputFormat
`LOG`

Constructor Summary
`NLineInputFormat()`

Method Summary
`void` | `configure(JobConf conf)` Initializes a new instance from a `JobConf`.
`RecordReader<LongWritable,Text>` | `getRecordReader(InputSplit genericSplit, JobConf job, Reporter reporter)` Get the `RecordReader` for the given `InputSplit`.
`InputSplit[]` | `getSplits(JobConf job, int numSplits)` Logically splits the set of input files for the job, splits N lines of the input as one split.

Methods inherited from class org.apache.hadoop.mapred.FileInputFormat
`addInputPath, addInputPaths, computeSplitSize, getBlockIndex, getInputPathFilter, getInputPaths, getSplitHosts, isSplitable, listStatus, setInputPathFilter, setInputPaths, setInputPaths, setMinSplitSize`

Methods inherited from class java.lang.Object
`clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait`

Constructor Detail

### NLineInputFormat

    public NLineInputFormat()

Method Detail

### getRecordReader

    public RecordReader<LongWritable,Text> getRecordReader(InputSplit genericSplit,
                                                           JobConf job,
                                                           Reporter reporter)
                                                    throws IOException

  Description copied from interface: `InputFormat`
  Get the `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.

  Specified by:
    `getRecordReader` in interface `InputFormat<LongWritable,Text>`
  Specified by:
    `getRecordReader` in class `FileInputFormat<LongWritable,Text>`
  Parameters:
    `genericSplit` - the `InputSplit`
    `job` - the job that this split belongs to
  Returns:
    a `RecordReader`
  Throws:
    `IOException`

### getSplits

    public InputSplit[] getSplits(JobConf job,
                                  int numSplits)
                           throws IOException

  Logically splits the set of input files for the job, splits N lines of the input as one split.

  Specified by:
    `getSplits` in interface `InputFormat<LongWritable,Text>`
  Overrides:
    `getSplits` in class `FileInputFormat<LongWritable,Text>`
  Parameters:
    `job` - job configuration.
    `numSplits` - the desired number of splits, a hint.
  Returns:
    an array of `InputSplit`s for the job.
  Throws:
    `IOException`
  See Also:
    `FileInputFormat.getSplits(JobConf, int)`

### configure

    public void configure(JobConf conf)

  Description copied from interface: `JobConfigurable`
  Initializes a new instance from a `JobConf`.

  Specified by:
    `configure` in interface `JobConfigurable`
  Parameters:
    `conf` - the configuration

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