Uses of Class
org.apache.hadoop.mapreduce.InputSplit

Packages that use InputSplit
org.apache.hadoop.mapred   
org.apache.hadoop.mapred.lib   
org.apache.hadoop.mapreduce   
org.apache.hadoop.mapreduce.lib.db   
org.apache.hadoop.mapreduce.lib.input   
org.apache.hadoop.mapreduce.lib.join   
org.apache.hadoop.mapreduce.lib.map   
org.apache.hadoop.mapreduce.split   
org.apache.hadoop.mapreduce.task   
 

Uses of InputSplit in org.apache.hadoop.mapred
 

Subclasses of InputSplit in org.apache.hadoop.mapred
 class FileSplit
          A section of an input file.
 class MultiFileSplit
          A sub-collection of input files.
 

Uses of InputSplit in org.apache.hadoop.mapred.lib
 

Methods in org.apache.hadoop.mapred.lib with parameters of type InputSplit
 RecordReader<K,V> CombineFileInputFormat.createRecordReader(InputSplit split, TaskAttemptContext context)
           
 

Uses of InputSplit in org.apache.hadoop.mapreduce
 

Methods in org.apache.hadoop.mapreduce that return InputSplit
 InputSplit MapContext.getInputSplit()
          Get the input split for this map.
 

Methods in org.apache.hadoop.mapreduce that return types with arguments of type InputSplit
abstract  List<InputSplit> InputFormat.getSplits(JobContext context)
          Logically split the set of input files for the job.
 

Methods in org.apache.hadoop.mapreduce with parameters of type InputSplit
abstract  RecordReader<K,V> InputFormat.createRecordReader(InputSplit split, TaskAttemptContext context)
          Create a record reader for a given split.
abstract  void RecordReader.initialize(InputSplit split, TaskAttemptContext context)
          Called once at initialization.
 

Uses of InputSplit in org.apache.hadoop.mapreduce.lib.db
 

Subclasses of InputSplit in org.apache.hadoop.mapreduce.lib.db
static class DataDrivenDBInputFormat.DataDrivenDBInputSplit
          A InputSplit that spans a set of rows
static class DBInputFormat.DBInputSplit
          A InputSplit that spans a set of rows
 

Methods in org.apache.hadoop.mapreduce.lib.db that return types with arguments of type InputSplit
 List<InputSplit> DataDrivenDBInputFormat.getSplits(JobContext job)
          Logically split the set of input files for the job.
 List<InputSplit> DBInputFormat.getSplits(JobContext job)
          Logically split the set of input files for the job.
 List<InputSplit> FloatSplitter.split(org.apache.hadoop.conf.Configuration conf, ResultSet results, String colName)
           
 List<InputSplit> BooleanSplitter.split(org.apache.hadoop.conf.Configuration conf, ResultSet results, String colName)
           
 List<InputSplit> IntegerSplitter.split(org.apache.hadoop.conf.Configuration conf, ResultSet results, String colName)
           
 List<InputSplit> TextSplitter.split(org.apache.hadoop.conf.Configuration conf, ResultSet results, String colName)
          This method needs to determine the splits between two user-provided strings.
 List<InputSplit> DBSplitter.split(org.apache.hadoop.conf.Configuration conf, ResultSet results, String colName)
          Given a ResultSet containing one record (and already advanced to that record) with two columns (a low value, and a high value, both of the same type), determine a set of splits that span the given values.
 List<InputSplit> DateSplitter.split(org.apache.hadoop.conf.Configuration conf, ResultSet results, String colName)
           
 List<InputSplit> BigDecimalSplitter.split(org.apache.hadoop.conf.Configuration conf, ResultSet results, String colName)
           
 

Methods in org.apache.hadoop.mapreduce.lib.db with parameters of type InputSplit
 RecordReader<org.apache.hadoop.io.LongWritable,T> DBInputFormat.createRecordReader(InputSplit split, TaskAttemptContext context)
          Create a record reader for a given split.
 void DBRecordReader.initialize(InputSplit split, TaskAttemptContext context)
           
 

Uses of InputSplit in org.apache.hadoop.mapreduce.lib.input
 

Subclasses of InputSplit in org.apache.hadoop.mapreduce.lib.input
 class CombineFileSplit
          A sub-collection of input files.
 

Methods in org.apache.hadoop.mapreduce.lib.input that return types with arguments of type InputSplit
 List<InputSplit> CombineFileInputFormat.getSplits(JobContext job)
           
 List<InputSplit> DelegatingInputFormat.getSplits(JobContext job)
           
 List<InputSplit> NLineInputFormat.getSplits(JobContext job)
          Logically splits the set of input files for the job, splits N lines of the input as one split.
 List<InputSplit> FileInputFormat.getSplits(JobContext job)
          Generate the list of files and make them into FileSplits.
 

Methods in org.apache.hadoop.mapreduce.lib.input with parameters of type InputSplit
 RecordReader<K,V> SequenceFileInputFormat.createRecordReader(InputSplit split, TaskAttemptContext context)
           
 RecordReader<org.apache.hadoop.io.Text,org.apache.hadoop.io.Text> SequenceFileAsTextInputFormat.createRecordReader(InputSplit split, TaskAttemptContext context)
           
 RecordReader<org.apache.hadoop.io.LongWritable,org.apache.hadoop.io.Text> CombineTextInputFormat.createRecordReader(InputSplit split, TaskAttemptContext context)
           
 RecordReader<org.apache.hadoop.io.Text,org.apache.hadoop.io.Text> KeyValueTextInputFormat.createRecordReader(InputSplit genericSplit, TaskAttemptContext context)
           
 RecordReader<org.apache.hadoop.io.LongWritable,org.apache.hadoop.io.Text> TextInputFormat.createRecordReader(InputSplit split, TaskAttemptContext context)
           
 RecordReader<K,V> SequenceFileInputFilter.createRecordReader(InputSplit split, TaskAttemptContext context)
          Create a record reader for the given split
abstract  RecordReader<K,V> CombineFileInputFormat.createRecordReader(InputSplit split, TaskAttemptContext context)
          This is not implemented yet.
 RecordReader<K,V> DelegatingInputFormat.createRecordReader(InputSplit split, TaskAttemptContext context)
           
 RecordReader<K,V> CombineSequenceFileInputFormat.createRecordReader(InputSplit split, TaskAttemptContext context)
           
 RecordReader<org.apache.hadoop.io.LongWritable,org.apache.hadoop.io.Text> NLineInputFormat.createRecordReader(InputSplit genericSplit, TaskAttemptContext context)
           
 RecordReader<org.apache.hadoop.io.BytesWritable,org.apache.hadoop.io.BytesWritable> SequenceFileAsBinaryInputFormat.createRecordReader(InputSplit split, TaskAttemptContext context)
           
 void LineRecordReader.initialize(InputSplit genericSplit, TaskAttemptContext context)
           
 void DelegatingRecordReader.initialize(InputSplit split, TaskAttemptContext context)
           
 void SequenceFileAsTextRecordReader.initialize(InputSplit split, TaskAttemptContext context)
           
 void SequenceFileRecordReader.initialize(InputSplit split, TaskAttemptContext context)
           
 void CombineFileRecordReader.initialize(InputSplit split, TaskAttemptContext context)
           
 void SequenceFileAsBinaryInputFormat.SequenceFileAsBinaryRecordReader.initialize(InputSplit split, TaskAttemptContext context)
           
 void KeyValueLineRecordReader.initialize(InputSplit genericSplit, TaskAttemptContext context)
           
 void CombineFileRecordReaderWrapper.initialize(InputSplit split, TaskAttemptContext context)
           
 

Constructors in org.apache.hadoop.mapreduce.lib.input with parameters of type InputSplit
DelegatingRecordReader(InputSplit split, TaskAttemptContext context)
          Constructs the DelegatingRecordReader.
 

Uses of InputSplit in org.apache.hadoop.mapreduce.lib.join
 

Subclasses of InputSplit in org.apache.hadoop.mapreduce.lib.join
 class CompositeInputSplit
          This InputSplit contains a set of child InputSplits.
 

Methods in org.apache.hadoop.mapreduce.lib.join that return InputSplit
 InputSplit CompositeInputSplit.get(int i)
          Get ith child InputSplit.
 

Methods in org.apache.hadoop.mapreduce.lib.join that return types with arguments of type InputSplit
 List<InputSplit> CompositeInputFormat.getSplits(JobContext job)
          Build a CompositeInputSplit from the child InputFormats by assigning the ith split from each child to the ith composite split.
 

Methods in org.apache.hadoop.mapreduce.lib.join with parameters of type InputSplit
 void CompositeInputSplit.add(InputSplit s)
          Add an InputSplit to this collection.
 RecordReader<K,TupleWritable> CompositeInputFormat.createRecordReader(InputSplit split, TaskAttemptContext taskContext)
          Construct a CompositeRecordReader for the children of this InputFormat as defined in the init expression.
abstract  ComposableRecordReader<K,V> ComposableInputFormat.createRecordReader(InputSplit split, TaskAttemptContext context)
           
 void MultiFilterRecordReader.initialize(InputSplit split, TaskAttemptContext context)
           
 void WrappedRecordReader.initialize(InputSplit split, TaskAttemptContext context)
           
 void CompositeRecordReader.initialize(InputSplit split, TaskAttemptContext context)
           
 

Uses of InputSplit in org.apache.hadoop.mapreduce.lib.map
 

Methods in org.apache.hadoop.mapreduce.lib.map that return InputSplit
 InputSplit WrappedMapper.Context.getInputSplit()
          Get the input split for this map.
 

Uses of InputSplit in org.apache.hadoop.mapreduce.split
 

Methods in org.apache.hadoop.mapreduce.split with type parameters of type InputSplit
static
<T extends InputSplit>
void
JobSplitWriter.createSplitFiles(org.apache.hadoop.fs.Path jobSubmitDir, org.apache.hadoop.conf.Configuration conf, org.apache.hadoop.fs.FileSystem fs, List<InputSplit> splits)
           
static
<T extends InputSplit>
void
JobSplitWriter.createSplitFiles(org.apache.hadoop.fs.Path jobSubmitDir, org.apache.hadoop.conf.Configuration conf, org.apache.hadoop.fs.FileSystem fs, T[] splits)
           
 

Methods in org.apache.hadoop.mapreduce.split with parameters of type InputSplit
static
<T extends InputSplit>
void
JobSplitWriter.createSplitFiles(org.apache.hadoop.fs.Path jobSubmitDir, org.apache.hadoop.conf.Configuration conf, org.apache.hadoop.fs.FileSystem fs, T[] splits)
           
 

Method parameters in org.apache.hadoop.mapreduce.split with type arguments of type InputSplit
static
<T extends InputSplit>
void
JobSplitWriter.createSplitFiles(org.apache.hadoop.fs.Path jobSubmitDir, org.apache.hadoop.conf.Configuration conf, org.apache.hadoop.fs.FileSystem fs, List<InputSplit> splits)
           
 

Constructors in org.apache.hadoop.mapreduce.split with parameters of type InputSplit
JobSplit.SplitMetaInfo(InputSplit split, long startOffset)
           
JobSplit.TaskSplitMetaInfo(InputSplit split, long startOffset)
           
 

Uses of InputSplit in org.apache.hadoop.mapreduce.task
 

Methods in org.apache.hadoop.mapreduce.task that return InputSplit
 InputSplit MapContextImpl.getInputSplit()
          Get the input split for this map.
 

Constructors in org.apache.hadoop.mapreduce.task with parameters of type InputSplit
MapContextImpl(org.apache.hadoop.conf.Configuration conf, TaskAttemptID taskid, RecordReader<KEYIN,VALUEIN> reader, RecordWriter<KEYOUT,VALUEOUT> writer, OutputCommitter committer, StatusReporter reporter, InputSplit split)
           
 



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