org.apache.hadoop.mapreduce.lib.input

类 TextInputFormat

java.lang.Object

org.apache.hadoop.mapreduce.InputFormat<K,V>

org.apache.hadoop.mapreduce.lib.input.FileInputFormat<LongWritable,Text>

org.apache.hadoop.mapreduce.lib.input.TextInputFormat

public class TextInputFormat
extends FileInputFormat<LongWritable,Text>

An InputFormat for plain text files. Files are broken into lines. Either linefeed or carriage-return are used to signal end of line. Keys are the position in the file, and values are the line of text..

嵌套类概要

从类继承的嵌套类/接口 org.apache.hadoop.mapreduce.lib.input.FileInputFormat

FileInputFormat.Counter

构造器概要

构造器

构造器和说明
TextInputFormat()

方法概要

方法

限定符和类型	方法和说明
RecordReader<LongWritable,Text>	createRecordReader(InputSplit split, TaskAttemptContext context) Create a record reader for a given split.
protected boolean	isSplitable(JobContext context, Path file) Is the given filename splitable?

从类继承的方法 org.apache.hadoop.mapreduce.lib.input.FileInputFormat

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

从类继承的方法 java.lang.Object

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

构造器详细资料

TextInputFormat

public TextInputFormat()

方法详细资料

createRecordReader

public RecordReader<LongWritable,Text> createRecordReader(InputSplit split,
                                                 TaskAttemptContext context)

从类复制的说明: InputFormat

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

指定者:

createRecordReader 在类中 InputFormat<LongWritable,Text>

参数:

split - the split to be read

context - the information about the task

返回:

a new record reader

isSplitable

protected boolean isSplitable(JobContext context,
                  Path file)

从类复制的说明: 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.

覆盖:

isSplitable 在类中 FileInputFormat<LongWritable,Text>

参数:

context - the job context

file - the file name to check

返回:

is this file splitable?