org.apache.hadoop.mapreduce.lib.input
Class KeyValueTextInputFormat

java.lang.Object
  org.apache.hadoop.mapreduce.InputFormat<K,V>
      org.apache.hadoop.mapreduce.lib.input.FileInputFormat<Text,Text>
          org.apache.hadoop.mapreduce.lib.input.KeyValueTextInputFormat

@InterfaceAudience.Public
@InterfaceStability.Stable
public class KeyValueTextInputFormat
extends FileInputFormat<Text,Text>

An InputFormat for plain text files. Files are broken into lines. Either line feed or carriage-return are used to signal end of line. Each line is divided into key and value parts by a separator byte. If no such a byte exists, the key will be the entire line and value will be empty.

Nested Class Summary

Nested classes/interfaces inherited from class org.apache.hadoop.mapreduce.lib.input.FileInputFormat

FileInputFormat.Counter

Constructor Summary

KeyValueTextInputFormat()

Method Summary

RecordReader<Text,Text>	createRecordReader(InputSplit genericSplit, TaskAttemptContext context) Create a record reader for a given split.
protected boolean	isSplitable(JobContext context, Path file) Is the given filename splitable? Usually, true, but if the file is stream compressed, it will not be.

Methods inherited from class org.apache.hadoop.mapreduce.lib.input.FileInputFormat

addInputPath, addInputPaths, computeSplitSize, getBlockIndex, getFormatMinSplitSize, getInputPathFilter, getInputPaths, getMaxSplitSize, getMinSplitSize, getSplits, listStatus, setInputPathFilter, setInputPaths, setInputPaths, setMaxInputSplitSize, setMinInputSplitSize

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

KeyValueTextInputFormat

public KeyValueTextInputFormat()

Method Detail

isSplitable

protected boolean isSplitable(JobContext context,
                              Path file)

Description copied from class: FileInputFormat

Is the given filename splitable? Usually, true, but if the file is stream compressed, it will not be. FileInputFormat implementations can override this and return false to ensure that individual input files are never split-up so that Mappers process entire files.

Overrides:

isSplitable in class FileInputFormat<Text,Text>

Parameters:

context - the job context

file - the file name to check

Returns:

is this file splitable?

createRecordReader

public RecordReader<Text,Text> createRecordReader(InputSplit genericSplit,
                                                  TaskAttemptContext context)
                                           throws IOException

Description copied from class: InputFormat

Create a record reader for a given split. The framework will call RecordReader.initialize(InputSplit, TaskAttemptContext) before the split is used.

Specified by:

createRecordReader in class InputFormat<Text,Text>

Parameters:

genericSplit - the split to be read

context - the information about the task

Returns:

a new record reader

Throws:

IOException